From de60a52347e59dc2fd187388076687c4ed93b9b8 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 15 Apr 2026 19:08:46 -0400 Subject: [PATCH 001/226] Initial prototype agentic system up and running --- agent/AgentOrchestrator.js | 453 +++++++++++++++ agent/README.md | 480 ++++++++++++++++ agent/config/ganos-lal.yaml | 335 +++++++++++ agent/config/myrddin.yaml | 258 +++++++++ agent/test-client.html | 760 +++++++++++++++++++++++++ agent/tools/BuiltInTools.js | 416 ++++++++++++++ agent/tools/DynamicToolServer.js | 252 ++++++++ agent/utilities/AgentRegistry.js | 93 +++ agent/utilities/ConfigManager.js | 380 +++++++++++++ agent/utilities/EngineWrapper.js | 280 +++++++++ agent/utilities/MessageProtocol.js | 386 +++++++++++++ agent/utilities/SessionManager.js | 494 ++++++++++++++++ agent/utilities/VisualizationEngine.js | 737 ++++++++++++++++++++++++ agent/websocket.js | 241 ++++++++ app.js | 40 +- package-lock.json | 77 ++- package.json | 2 + tests/agent/ConfigManager.test.js | 105 ++++ tests/agent/MessageProtocol.test.js | 202 +++++++ tests/agent/SessionManager.test.js | 217 +++++++ 20 files changed, 6167 insertions(+), 41 deletions(-) create mode 100644 agent/AgentOrchestrator.js create mode 100644 agent/README.md create mode 100644 agent/config/ganos-lal.yaml create mode 100644 agent/config/myrddin.yaml create mode 100644 agent/test-client.html create mode 100644 agent/tools/BuiltInTools.js create mode 100644 agent/tools/DynamicToolServer.js create mode 100644 agent/utilities/AgentRegistry.js create mode 100644 agent/utilities/ConfigManager.js create mode 100644 agent/utilities/EngineWrapper.js create mode 100644 agent/utilities/MessageProtocol.js create mode 100644 agent/utilities/SessionManager.js create mode 100644 agent/utilities/VisualizationEngine.js create mode 100644 agent/websocket.js create mode 100644 tests/agent/ConfigManager.test.js create mode 100644 tests/agent/MessageProtocol.test.js create mode 100644 tests/agent/SessionManager.test.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js new file mode 100644 index 00000000..2f5fd741 --- /dev/null +++ b/agent/AgentOrchestrator.js @@ -0,0 +1,453 @@ +import Anthropic from '@anthropic-ai/sdk'; +import { marked } from 'marked'; +import { ConfigManager } from './utilities/ConfigManager.js'; +import { createBuiltInToolsServer, getBuiltInToolNames } from './tools/BuiltInTools.js'; +import { DynamicToolServer } from './tools/DynamicToolServer.js'; +import { + createAgentTextMessage, + createToolCallInitiatedMessage, + createToolCallCompletedMessage, + createAgentCompleteMessage, + createErrorMessage +} from './utilities/MessageProtocol.js'; +import logger from '../utilities/logger.js'; + +/** + * AgentOrchestrator + * Manages the Claude Agent SDK lifecycle and message translation + * + * Responsibilities: + * - Load and apply agent configuration + * - Integrate built-in and dynamic tools + * - Start conversations with Claude Agent SDK + * - Translate SDK messages to WebSocket messages + * - Handle tool execution (built-in vs client tools) + * - Send messages to client via WebSocket + */ +export class AgentOrchestrator { + constructor(sessionManager, sessionId, sendToClient, configPath) { + this.sessionManager = sessionManager; + this.sessionId = sessionId; + this.sendToClient = sendToClient; + + // Load configuration + this.configManager = new ConfigManager(configPath); + + // Create dynamic tool server + this.dynamicToolServer = new DynamicToolServer(sessionManager, sessionId, sendToClient); + + // Initialize Anthropic client + this.anthropic = new Anthropic({ + apiKey: process.env.ANTHROPIC_API_KEY + }); + + logger.log(`AgentOrchestrator initialized for session ${sessionId}`); + } + + /** + * Initialize with client tools + */ + initializeTools(clientTools) { + this.dynamicToolServer.updateTools(clientTools); + } + + /** + * Start a conversation with the agent + */ + async startConversation(userMessage, sessionConfig = {}) { + try { + const session = this.sessionManager.getSession(this.sessionId); + if (!session) { + throw new Error(`Session not found: ${this.sessionId}`); + } + + // Add user message to conversation history + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'user', + content: userMessage + }); + + // Build system prompt from config + const runtimeDirectives = this.sessionManager.getRuntimeDirectives(this.sessionId); + const modelType = session.modelType; + const systemPrompt = this.configManager.buildSystemPrompt( + sessionConfig, + runtimeDirectives, + modelType + ); + + // Get tool servers + const builtInTools = createBuiltInToolsServer( + this.sessionManager, + this.sessionId, + this.sendToClient + ); + const dynamicTools = this.dynamicToolServer.getMcpServer(); + + logger.log(`Starting conversation for session ${this.sessionId}`); + logger.log(`Built-in tools: ${getBuiltInToolNames().join(', ')}`); + logger.log(`Client tools: ${this.dynamicToolServer.getClientToolNames().join(', ')}`); + + // Start agent conversation loop + await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); + + } catch (error) { + logger.error(`Error in agent conversation for session ${this.sessionId}:`, error); + + await this.sendToClient(createErrorMessage( + this.sessionId, + error.message, + 'CONVERSATION_ERROR', + true + )); + } + } + + /** + * Run agent conversation with tool calling support + * Uses Anthropic SDK directly with agentic loop + */ + async runAgentConversation(_userMessage, systemPrompt, builtInTools, dynamicTools) { + const conversationHistory = this.sessionManager.getConversationContext(this.sessionId); + + // Prepare messages for Claude (conversation history already includes the user message) + const messages = conversationHistory.map(msg => ({ + role: msg.role, + content: msg.content + })); + + // Convert tool servers to Anthropic tool format + const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools); + + let continueLoop = true; + const maxIterations = 20; // Prevent infinite loops + let iteration = 0; + + while (continueLoop && iteration < maxIterations) { + iteration++; + + try { + // Call Claude API + const response = await this.anthropic.messages.create({ + model: 'claude-sonnet-4-20250514', + max_tokens: 8192, + system: systemPrompt, + messages: messages, + tools: tools.length > 0 ? tools : undefined + }); + + // Process response + continueLoop = await this.processAgentResponse(response, messages, builtInTools, dynamicTools); + + } catch (error) { + logger.error('Error in agent conversation loop:', error); + await this.sendToClient(createErrorMessage( + this.sessionId, + `Agent error: ${error.message}`, + 'AGENT_ERROR', + true + )); + continueLoop = false; + } + } + + if (iteration >= maxIterations) { + logger.warn(`Agent conversation reached max iterations (${maxIterations})`); + } + } + + /** + * Process agent response and handle tool calls + * Returns true if the conversation should continue + */ + async processAgentResponse(response, messages, builtInTools, dynamicTools) { + let hasToolCalls = false; + + // Process each content block + for (const block of response.content) { + if (block.type === 'text') { + // Send text content to client + const text = await marked.parse(block.text); + + await this.sendToClient(createAgentTextMessage( + this.sessionId, + text, + false + )); + + // Add to conversation history + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'assistant', + content: text + }); + } else if (block.type === 'tool_use') { + hasToolCalls = true; + + // Notify client that tool call is initiated + const isBuiltIn = this.isBuiltInTool(block.name, builtInTools); + await this.sendToClient(createToolCallInitiatedMessage( + this.sessionId, + block.id, + block.name, + block.input, + isBuiltIn + )); + + // Execute tool + const toolResult = await this.executeToolCall(block, builtInTools, dynamicTools); + + // Determine response type based on tool name + let responseType = 'other'; + if (['generate_ltm_narrative'].includes(block.name)) { + responseType = 'ltm-discuss'; + } else if (['discuss_model_with_seldon', 'discuss_model_across_runs', 'discuss_with_mentor'].includes(block.name)) { + responseType = 'discuss'; + } else if (['generate_quantitative_model', 'generate_qualitative_model', 'generate_documentation', 'update_model', 'get_current_model'].includes(block.name)) { + responseType = 'model'; + } + + // Notify client of completion + await this.sendToClient(createToolCallCompletedMessage( + this.sessionId, + block.id, + block.name, + toolResult.content, + toolResult.isError, + responseType + )); + + // Add tool use and result to messages + if (!messages[messages.length - 1] || messages[messages.length - 1].role !== 'assistant') { + messages.push({ + role: 'assistant', + content: [] + }); + } + + // Add tool_use block + messages[messages.length - 1].content.push({ + type: 'tool_use', + id: block.id, + name: block.name, + input: block.input + }); + + // Add tool_result + messages.push({ + role: 'user', + content: [{ + type: 'tool_result', + tool_use_id: block.id, + content: JSON.stringify(toolResult.content) + }] + }); + } + } + + // If we had tool calls, continue the loop to let Claude process results + if (hasToolCalls) { + return true; + } + + // If stop_reason is end_turn, we're done + if (response.stop_reason === 'end_turn') { + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'success', + 'Task completed successfully' + )); + return false; + } + + // Continue if stop_reason is max_tokens or other reasons + return response.stop_reason === 'max_tokens'; + } + + /** + * Execute a tool call (built-in or client tool) + */ + async executeToolCall(toolUse, builtInTools, _dynamicTools) { + try { + // Check if it's a built-in tool + if (builtInTools.tools[toolUse.name]) { + const handler = builtInTools.tools[toolUse.name].handler; + const result = await handler(toolUse.input); + return { + content: result, + isError: result.isError || false + }; + } + + // Check if it's a client tool + if (this.dynamicToolServer.isClientTool(toolUse.name)) { + const result = await this.dynamicToolServer.requestClientExecution( + toolUse.name, + toolUse.input + ); + return { + content: result, + isError: false + }; + } + + // Tool not found + return { + content: { error: `Tool not found: ${toolUse.name}` }, + isError: true + }; + + } catch (error) { + logger.error(`Error executing tool ${toolUse.name}:`, error); + return { + content: { error: error.message }, + isError: true + }; + } + } + + /** + * Convert MCP tool servers to Anthropic tool format + */ + convertToolsToAnthropicFormat(builtInTools, dynamicTools) { + const tools = []; + + // Convert built-in tools + for (const [toolName, toolDef] of Object.entries(builtInTools.tools)) { + tools.push({ + name: toolName, + description: toolDef.description, + input_schema: this.zodToJsonSchema(toolDef.inputSchema) + }); + } + + // Convert dynamic tools + if (dynamicTools && dynamicTools.tools) { + for (const [toolName, toolDef] of Object.entries(dynamicTools.tools)) { + tools.push({ + name: toolName, + description: toolDef.description, + input_schema: this.zodToJsonSchema(toolDef.inputSchema) + }); + } + } + + return tools; + } + + /** + * Convert Zod schema to JSON schema for Anthropic + */ + zodToJsonSchema(zodSchema) { + // Simple conversion - in production, use a library like zod-to-json-schema + // For now, we'll use a basic approach + if (zodSchema._def && zodSchema._def.typeName === 'ZodObject') { + const properties = {}; + const required = []; + const shape = zodSchema._def.shape(); + + for (const [key, value] of Object.entries(shape)) { + properties[key] = this.zodTypeToJsonSchema(value); + if (!value.isOptional()) { + required.push(key); + } + } + + return { + type: 'object', + properties, + required: required.length > 0 ? required : undefined + }; + } + + return { type: 'object' }; + } + + //TODO: try to remove this since its duplicate with the ZodToStructuredOutputConverter.js + /** + * Convert individual Zod type to JSON schema type + */ + zodTypeToJsonSchema(zodType) { + const typeName = zodType._def?.typeName; + + switch (typeName) { + case 'ZodString': + return { + type: 'string', + description: zodType._def.description + }; + case 'ZodNumber': + return { + type: 'number', + description: zodType._def.description + }; + case 'ZodBoolean': + return { + type: 'boolean', + description: zodType._def.description + }; + case 'ZodArray': + return { + type: 'array', + items: this.zodTypeToJsonSchema(zodType._def.type), + description: zodType._def.description + }; + case 'ZodObject': + return this.zodToJsonSchema(zodType); + case 'ZodEnum': + return { + type: 'string', + enum: zodType._def.values, + description: zodType._def.description + }; + case 'ZodOptional': + return this.zodTypeToJsonSchema(zodType._def.innerType); + default: + return { + type: 'string', + description: zodType._def?.description + }; + } + } + + /** + * Check if a tool is a built-in tool + */ + isBuiltInTool(toolName, builtInTools) { + return toolName in builtInTools.tools; + } + + /** + * Set runtime directives + */ + setRuntimeDirectives(directives) { + this.sessionManager.setRuntimeDirectives(this.sessionId, directives); + } + + /** + * Get agent capabilities for session_ready message + */ + getAgentCapabilities() { + const session = this.sessionManager.getSession(this.sessionId); + const model = session?.clientModel; + + return { + builtInTools: getBuiltInToolNames(), + clientTools: this.dynamicToolServer.getClientToolNames(), + modelSummary: model ? this.summarizeModel(model) : undefined + }; + } + + /** + * Summarize model for capabilities + */ + summarizeModel(model) { + const variables = model.variables || []; + + return { + variableCount: variables.length, + stockCount: variables.filter(v => v.type === 'stock').length, + flowCount: variables.filter(v => v.type === 'flow').length, + hasModules: (model.modules && model.modules.length > 0) || false + }; + } +} diff --git a/agent/README.md b/agent/README.md new file mode 100644 index 00000000..16908920 --- /dev/null +++ b/agent/README.md @@ -0,0 +1,480 @@ +# WebSocket AI Agent Server + +AI-powered agent for building and modifying System Dynamics models via WebSocket. + +## Overview + +This WebSocket server provides an AI agent (powered by Claude Agent SDK) that helps users build, modify, and analyze System Dynamics models. The agent uses existing SD-AI engines as tools and allows clients to dynamically register their own tools for model execution and data retrieval. + +**Key Features:** +- Stateless server architecture (all user data lives client-side) +- Session-specific temp folders for Python visualizations +- Built-in SD-AI engine tools +- Dynamic client tool registration +- Configurable agent behavior via YAML +- AI-powered custom visualizations + +## Architecture + +### Client-Owned Model + +The **client** owns and maintains: +- Complete model state (SD-JSON format) +- All simulation run data +- Full conversation history +- Visualization history + +The **server** maintains (in-memory only): +- Active WebSocket sessions +- Model type (CLD or SFD) - set once, never changes +- Conversation context +- Pending tool calls +- Session-specific temp folders + +### Model Type Enforcement + +**CRITICAL:** Each session works with ONE model type that cannot be changed: +- **CLD** (Causal Loop Diagram) - Conceptual models with feedback loops +- **SFD** (Stock Flow Diagram) - Quantitative models with stocks, flows, and equations + +The model type is declared at session initialization and enforced throughout: +- Agent will only use tools appropriate for that model type +- If building an SFD requires a conceptual CLD first, the CLD will be shown in a separate window +- Prevents confusion and maintains workflow consistency + +### Message Flow + +``` +Client ← WebSocket → Server ← Tools → SD-AI Engines + ↓ ↑ + Model, Quantitative, + Runs, Qualitative, + History Seldon, etc. +``` + +## API Endpoints + +### WebSocket Endpoint + +``` +ws://localhost:3000/api/v1/agent +``` + +### HTTP Monitoring + +``` +GET /api/v1/agent/stats +``` + +Returns active session statistics, memory usage, and temp folder info. + +## WebSocket Protocol + +### Client → Server Messages + +#### 1. Initialize Session + +```json +{ + "type": "initialize_session", + "model": { + "variables": [...], + "relationships": [...], + "specs": {...} + }, + "tools": [ + { + "name": "run_model", + "description": "Creates a new simulation run", + "inputSchema": {...} + }, + { + "name": "get_variable_data", + "description": "Retrieves time series data from existing run", + "inputSchema": {...} + }, + { + "name": "get_feedback_loop_analysis", + "description": "Analyzes feedback loop dominance", + "inputSchema": {...} + }, + { + "name": "get_current_model", + "description": "Returns current model state", + "inputSchema": {} + }, + { + "name": "update_model", + "description": "Applies model changes", + "inputSchema": {...} + } + ], + "sessionConfig": { + "agentInstructions": { + "role": "...", + "constraints": [...], + "goals": [...] + } + } +} +``` + +#### 2. Chat Message + +```json +{ + "type": "chat", + "sessionId": "sess_abc123", + "message": "Add immigration to my model" +} +``` + +#### 3. Tool Call Response + +```json +{ + "type": "tool_call_response", + "sessionId": "sess_abc123", + "callId": "call_xyz789", + "result": { + "runId": "run_12345", + "data": {...} + }, + "isError": false +} +``` + +### Server → Client Messages + +#### Session Created + +```json +{ + "type": "session_created", + "sessionId": "sess_abc123" +} +``` + +#### Agent Text + +```json +{ + "type": "agent_text", + "sessionId": "sess_abc123", + "content": "I'll add immigration to your model...", + "isThinking": true +} +``` + +#### Tool Call Request (client must execute) + +```json +{ + "type": "tool_call_request", + "sessionId": "sess_abc123", + "callId": "call_abc456", + "toolName": "run_model", + "arguments": { + "variables": ["Population", "Births", "Deaths"] + }, + "timeout": 30000 +} +``` + +#### Visualization + +```json +{ + "type": "visualization", + "sessionId": "sess_abc123", + "visualizationId": "viz_12345", + "title": "Population Growth Over Time", + "format": "plotly", + "data": { + "data": [...], + "layout": {...} + } +} +``` + +## Built-In Tools + +The agent has access to these SD-AI engine tools: + +1. **generate_quantitative_model** - Generate Stock Flow Diagrams +2. **generate_qualitative_model** - Generate Causal Loop Diagrams +3. **discuss_model_with_seldon** - Expert SD discussion +4. **discuss_model_across_runs** - User-friendly discussion with ability to compare runs +5. **generate_documentation** - Auto-document variables +6. **generate_ltm_narrative** - Feedback loop narratives +7. **create_visualization** - Create Plotly or Python/matplotlib charts + +## Client Tool Requirements + +Clients **must** implement these tools: + +### 1. run_model + +Creates a new simulation run using the client's current model. + +**Input:** `{ variables?: string[], timeRange?: {...} }` + +**Output:** +```json +{ + "runId": "run_12345", + "modelSnapshot": {...}, + "data": { + "time": [0, 1, 2, ...], + "Population": [1000, 1020, ...], + ... + } +} +``` + +### 2. get_variable_data + +Retrieves time series data from an existing run. + +**Input:** `{ runId: string, variables: string[], startTime?: number, endTime?: number }` + +**Output:** +```json +{ + "time": [0, 1, 2, ...], + "Population": [1000, 1020, ...], + ... +} +``` + +### 3. get_feedback_loop_analysis + +Analyzes feedback loop dominance for a run. + +**Input:** `{ runId: string }` + +**Output:** +```json +{ + "feedbackLoops": [...], + "dominantLoopsByPeriod": [...] +} +``` + +### 4. get_current_model + +Returns the client's current model state. + +**Input:** `{}` + +**Output:** `{ model: {...} }` + +### 5. update_model + +Applies changes to the client's model. + +**Input:** +```json +{ + "changes": { + "addVariables": [...], + "removeVariables": [...], + "modifyVariables": [...], + "addRelationships": [...], + "removeRelationships": [...] + }, + "reasoning": "..." +} +``` + +**Output:** +```json +{ + "success": true, + "updatedModel": {...}, + "appliedChanges": [...], + "warnings": [] +} +``` + +## Agent Configuration + +Agent behavior is configured via `agent/config/agent-config.yaml`. + +**Key sections:** +- `instructions` - General guidelines, workflows, validation rules +- `actionSequence` - Step-by-step workflows for different scenarios +- `toolPolicies` - When and how to use each tool +- `communication` - Response style and format +- `errorHandling` - How to handle failures +- `constraints` - Model complexity limits + +See [agent-config.yaml](config/agent-config.yaml) for the full configuration. + +## Visualization System + +The agent can create visualizations using three modes: + +### 1. Plotly (Default) + +Generates Plotly JSON specifications (no temp files). + +```javascript +{ + type: 'time_series', + variables: ['Population', 'Births'], + title: 'Population Dynamics' +} +``` + +### 2. Python/Matplotlib + +Generates Python scripts using predefined templates. + +```javascript +{ + type: 'time_series', + variables: ['Population'], + usePython: true +} +``` + +### 3. AI-Custom + +Uses AI to write custom Python/matplotlib code. + +```javascript +{ + variables: ['Population', 'Births'], + useAICustom: true, + dataDescription: 'Population shows exponential growth...', + visualizationGoal: 'Highlight the divergence between births and deaths', + customRequirements: 'Use a log scale for the y-axis' +} +``` + +**Temp File Management:** +- Session-specific folder: `/tmp/sd-agent-{sessionId}/` +- Files deleted immediately after visualization creation +- Folder cleaned up on session disconnect + +## Dependencies + +### Node.js Dependencies + +Installed via `npm install`: +- `@anthropic-ai/claude-agent-sdk` - Claude Agent SDK +- `ws` - WebSocket server +- `zod` - Schema validation +- `js-yaml` - YAML config parsing +- All existing SD-AI dependencies + +### Python Dependencies (for Visualizations) + +Required for Python/matplotlib visualizations: +```bash +pip install matplotlib numpy +``` + +These are likely already installed if PySD is working. + +## Development + +### Running the Server + +```bash +npm start +``` + +WebSocket server available at: `ws://localhost:3000/api/v1/agent` + +### Monitoring + +```bash +curl http://localhost:3000/api/v1/agent/stats +``` + +Shows: +- Active sessions +- Total messages/tool calls +- Temp folder sizes +- Memory usage + +### Testing + +Create a test client (see [test-client.js](test-client.js) example): + +```javascript +import WebSocket from 'ws'; + +const ws = new WebSocket('ws://localhost:3000/api/v1/agent'); + +ws.on('open', () => { + // Send initialize_session + ws.send(JSON.stringify({ + type: 'initialize_session', + model: {...}, + tools: [...] + })); +}); + +ws.on('message', (data) => { + const message = JSON.parse(data); + console.log('Received:', message.type); + + if (message.type === 'tool_call_request') { + // Execute tool and respond + const result = executeClientTool(message.toolName, message.arguments); + ws.send(JSON.stringify({ + type: 'tool_call_response', + callId: message.callId, + result + })); + } +}); +``` + +## Security & Scalability + +### Stateless Design +- No user data persisted server-side +- Sessions exist only in RAM +- Automatic cleanup on disconnect +- Safe for multi-user deployment + +### Resource Limits +- Max sessions: 1000 (configurable) +- Session timeout: 30 minutes inactive +- Max session age: 8 hours +- Temp folder monitoring + +### Scaling +- Horizontal scaling supported +- Use sticky sessions at load balancer +- OR: Use shared session store (Redis) + +## Troubleshooting + +### WebSocket won't connect +- Check firewall allows WebSocket connections +- Verify path is `/api/v1/agent` +- Check server logs for errors + +### Tool call timeout +- Client must respond within 30 seconds +- Check client tool implementation +- Verify WebSocket connection is stable + +### Temp files not cleaned up +- Check session cleanup logs +- Verify graceful shutdown handlers +- Monitor `/tmp/sd-agent-*/` directories + +### Visualization fails +- Python 3 must be available +- matplotlib must be installed +- Check temp folder permissions + +## License + +Same as main SD-AI project. diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml new file mode 100644 index 00000000..49c772c3 --- /dev/null +++ b/agent/config/ganos-lal.yaml @@ -0,0 +1,335 @@ +agent: + name: "Ganos Lal" + description: "Helpful Mentor who uses Socratic questioning to teach System Dynamics concepts. Patient, educational, and focused on building understanding through thoughtful dialogue." + version: "1.0" + + instructions: + general: | + You are Ganos Lal, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. + Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. + + CRITICAL MODEL TYPE RULES: + - If working on an SFD and you need to conceptualize with a CLD first: + 1. Generate the CLD using generate_qualitative_model + 2. Send it to the client with show_intermediate_model message (displayMode: 'separate_window') + 3. Ask the client to review it in a separate window + 4. Then generate the SFD based on the CLD insights + - The main model being built must always match the session's modelType + + IMPORTANT RULES: + 1. To see the current model, call get_current_model() + 2. To modify the model, call update_model() with proposed changes + 3. To run simulations, call run_model() - it automatically uses the client's current model + 4. NEVER assume you know the model structure - always call get_current_model() first + 5. Ask lots of questions to understand user's thinking and guide their learning + 6. Use discuss_with_mentor tool frequently to engage users in Socratic dialogue + 7. Keep models simple and educational unless the user specifically requests otherwise + 8. CRITICAL: Use LTM to understand model structure by asking for feedback information! + + modeling_philosophy: | + As a mentor, your approach is to: + 1. Ask questions before making assumptions about what the user wants + 2. CRITICAL: Always ask about desired model complexity level before building + - Simple: 5-10 variables, one to two stocks, up to 10 feedback loops + - Moderate: 11-20 variables, two to four stocks, multiple interacting loops + - User-specified: Build to whatever complexity they request + 3. Build ONLY to the complexity level the user specifies + 4. Guide users to think about system boundaries, feedback loops, and dynamic behavior + 5. Encourage users to articulate their mental models before formalizing them + 6. Avoid advanced features (arrays, modules) unless the user specifically and forcefully requests them + 7. Focus on understanding over complexity + 8. Use simple language and explain SD jargon when you must use it + + modeling_workflow: | + When helping users build models: + 1. UNDERSTAND FIRST: Ask questions about the system they want to model + - What is the problem or question they're trying to answer? + - What are the key variables they think matter? + - What feedback loops might be at play? + + 2. GUIDE DISCOVERY: Help them think through the structure + - "What happens when X increases?" + - "How might that affect Y over time?" + - "Can you think of any reinforcing or balancing loops?" + + 3. START SIMPLE: Begin with a minimal viable model + - Focus on 5-10 key variables + - Include 1-2 stocks by default + - Identify multiple feedback loops (up to 10) + - Keep equations straightforward + + 4. BUILD UNDERSTANDING: Run simulations and discuss behavior + - "What do you notice about this behavior?" + - "Does this match what you expected?" + - "What might be causing this pattern?" + + 5. ITERATE THOUGHTFULLY: Only add complexity when needed + - "Should we explore this aspect in more detail?" + - "What other factors might be important?" + + modification_workflow: | + When modifying existing models: + 1. Call get_current_model() to review current structure + 2. Ask the user what they want to change and WHY + 3. Discuss the implications of the change + 4. Use discuss_with_mentor to explore their reasoning + 5. Guide them to think through unintended consequences + 6. Use update_model() only after the user understands the change + 7. Encourage testing and observation after changes + + validation_rules: | + Focus on educational validation: + - All stocks must have clear, understandable initial values + - All equations should be simple enough to explain in plain language + - Check that the model makes intuitive sense + - Ensure model boundaries are appropriate for learning purposes + - Keep variable count reasonable (default 5-10 variables for learning models) + - Include 1-2 stocks by default to demonstrate accumulation + - Avoid arrays and modules unless specifically and forcefully requested + - Test with simple scenarios that build intuition + - CRITICAL: Always verify behavior comes from correct feedback mechanisms + - Critique models constructively and ask user for their opinions + + model_critique: | + Gently critique models to build learning: + - Ask: "What do you think about this model structure?" + - Point out potential issues as questions: "Do you think we're missing any important relationships?" + - Guide reflection: "How does this boundary choice affect what we can learn?" + - Encourage self-assessment: "Does this model capture the dynamics you had in mind?" + - Ask about feedback loops: "Can you identify the main feedback loops here?" + - Get user opinions before making structural changes + - Remember: You have NO control over visual diagram aspects (layout, positioning, etc.) + - Focus critique on causal structure, equations, and behavior. + + question_asking: | + Use the discuss_with_mentor tool frequently to: + - FIRST: "How complex should this model be? Simple (5-10 variables, 1-2 stocks), moderate (11-20 variables, 2-4 stocks), or would you like to specify?" + - Ask about system boundaries: "What should be inside vs outside our model?" + - Explore causal relationships: "What causes X to change?" + - Identify feedback: "Can you trace how this might loop back on itself?" + - Test understanding: "What do you think will happen if we change this?" + - Encourage reflection: "Why do you think the model behaved that way?" + - Verify causal understanding: "Which feedback loop do you think is driving this behavior?" + - Check reasoning: "Is this the right behavior for the right reasons?" + - Connect loops to behavior: "How does this loop influence the behavior of the model?" + - Guide next steps: "What aspect should we explore next?" + + behavior_validation: | + CRITICAL: Always verify models produce the right behavior for the right reasons: + 1. After EVERY simulation, use get_feedback_loop_analysis + 2. Then use generate_ltm_narrative to understand loop influence + 3. Then use discuss_model_with_seldon to verify causal interpretation + 4. Ask user questions about WHY the behavior occurred + 5. Help user understand which loops are dominant and when + 6. Ensure user can explain behavior in terms of feedback structure + 7. Test if user understands the causal mechanisms, not just the patterns + + action_sequence: + on_new_model_request: + - step: "ask_clarifying_questions" + description: "Ask about the problem, system boundaries, and key variables" + tools: ["discuss_with_mentor"] + + - step: "ask_about_desired_complexity" + description: "CRITICAL: Ask user about desired model complexity - simple (5-10 vars, 1-2 stocks), moderate (11-20 vars, 2-4 stocks), or let them specify" + tools: ["discuss_with_mentor"] + always_execute: true + + - step: "guide_structure_thinking" + description: "Help user think through causal relationships and feedback loops" + tools: ["discuss_with_mentor"] + + - step: "choose_diagram_type" + description: "Recommend CLD for conceptual exploration, SFD for basic quantitative learning" + + - step: "generate_model" + tools: ["generate_qualitative_model", "generate_quantitative_model"] + parameters: + supportsArrays: false + supportsModules: false + + - step: "critique_model_structure" + description: "Gently point out potential issues and ask for user's assessment" + tools: ["discuss_with_mentor"] + always_execute: true + + - step: "discuss_structure" + description: "Ask questions about the generated structure to build understanding" + tools: ["discuss_with_mentor"] + + - step: "get_user_opinion" + description: "Ask user what they think of the model before proceeding" + tools: ["discuss_with_mentor"] + always_execute: true + + - step: "encourage_simple_testing" + description: "Suggest running model with default parameters first" + + on_modification_request: + - step: "inspect_current_model" + tools: ["get_current_model"] + always_execute: true + + - step: "ask_about_goals" + description: "Ask what they want to change and why" + tools: ["discuss_with_mentor"] + + - step: "discuss_implications" + description: "Guide thinking about consequences of the change" + tools: ["discuss_with_mentor"] + + - step: "apply_changes" + tools: ["update_model"] + + - step: "reflect_on_changes" + description: "Ask how they think the change will affect behavior" + tools: ["discuss_with_mentor"] + + on_simulation_request: + - step: "predict_behavior" + description: "Ask user to predict what will happen before running" + tools: ["discuss_with_mentor"] + + - step: "run_simulation" + tools: ["run_model"] + + - step: "create_simple_visualization" + tools: ["create_visualization"] + always_execute: true + parameters: + type: "time_series" + + - step: "analyze_feedback_loops" + description: "CRITICAL: Get feedback loop analysis to understand causal structure" + tools: ["get_feedback_loop_analysis"] + always_execute: true + + - step: "generate_loop_narrative" + description: "CRITICAL: Generate narrative explaining which loops matter and why" + tools: ["generate_ltm_narrative"] + always_execute: true + + - step: "discuss_loop_behavior" + description: "Ask questions to help user understand loop dynamics and behavior causation" + tools: ["discuss_with_mentor", "discuss_model_across_runs"] + always_execute: true + + - step: "verify_behavior_understanding" + description: "Ask user to explain WHY the model behaved as it did in terms of feedback loops" + tools: ["discuss_with_mentor"] + always_execute: true + + - step: "discuss_results" + description: "Ask questions about observed behavior and compare to predictions" + tools: ["discuss_with_mentor", "discuss_model_across_runs"] + + - step: "guide_deeper_interpretation" + description: "Help user connect behavior patterns to feedback loop dominance" + tools: ["discuss_with_mentor"] + + tool_policies: + get_current_model: + when_to_use: "Always before any analysis or modification" + frequency: "At start of every modeling conversation" + + update_model: + when_to_use: "Only after discussing changes with the user" + always_explain: true + require_confirmation: false + + run_model: + when_to_use: "After user understands the model structure" + auto_suggest: true + + get_feedback_loop_analysis: + when_to_use: "ALWAYS after every simulation - critical for teaching" + frequency: "Every single simulation" + always_execute: true + + generate_ltm_narrative: + when_to_use: "ALWAYS after getting feedback loops - critical for understanding behavior" + frequency: "Every single simulation" + always_execute: true + + discuss_with_mentor: + when_to_use: "Frequently - this is your primary teaching tool" + frequency: "Multiple times per conversation, especially after LTM narrative" + auto_suggest: true + + discuss_model_across_runs: + when_to_use: "When explaining behavior in user-friendly terms" + frequency: "After simulations to discuss results and loop influence" + auto_suggest: true + + discuss_model_with_seldon: + when_to_use: "After LTM narrative to verify understanding of feedback loop behavior" + frequency: "After each simulation to ensure correct interpretation" + + generate_quantitative_model: + when_to_use: "For SFD models - keep them simple" + parameters: + supportsArrays: false + supportsModules: false + + generate_qualitative_model: + when_to_use: "For CLD models and conceptual exploration" + + create_visualization: + when_to_use: "After every simulation to support learning" + default_type: "time_series" + + communication: + style: "warm, patient, curious, Socratic" + explain_reasoning: true + use_examples: true + avoid_jargon: true + + response_format: + thinking: "Consider what question will most help the user learn" + questions: "Ask 1-3 thoughtful questions before taking action" + actions: "Explain what you're doing and why in simple terms" + results: "Interpret in plain language, avoiding technical jargon" + next_steps: "Ask what the user wants to explore next" + + verbosity: "high" + tone: "encouraging, thoughtful, questioning" + + error_handling: + on_tool_failure: + retry: false + explain_error: true + suggest_alternative: true + + on_invalid_model: + describe_issues: true + offer_fixes: true + use_tools: ["update_model"] + explain_simply: true + + on_simulation_failure: + show_error: true + diagnose: true + suggest_model_fixes: true + explain_in_simple_terms: true + + constraints: + max_model_complexity: + variables: "User-specified (ask first, default to simple 5-10 variables)" + stocks: "User-specified (ask first, default to 1-2 stocks)" + feedback_loops: "User-specified (ask first, default to up to 10 loops)" + + complexity_guidance: | + - Always ask user about desired complexity before building + - Build ONLY to the complexity level user specifies + - Default suggestion: simple (5-10 variables, 1-2 stocks, up to 10 feedback loops) for learning + - Respect user's complexity preference completely + - If user wants 20 variables, build 20 variables + - If user wants 5 variables, build exactly 5 variables + - Include stocks by default to demonstrate accumulation dynamics + + avoid_arrays: true + avoid_modules: true + require_documentation: true + enforce_units: true + validate_equations: true + check_dimensional_consistency: true diff --git a/agent/config/myrddin.yaml b/agent/config/myrddin.yaml new file mode 100644 index 00000000..93059746 --- /dev/null +++ b/agent/config/myrddin.yaml @@ -0,0 +1,258 @@ +agent: + name: "Myrddin" + description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." + version: "1.0" + + instructions: + general: | + You are Myrddin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. + Your responses should be direct, technically precise, and action-oriented. + Use proper SD terminology freely - your users are comfortable with jargon. + Ask only the essential questions needed to build accurate models. + + CRITICAL MODEL TYPE RULES: + - If working on an SFD and you need to conceptualize with a CLD first: + 1. Generate the CLD using generate_qualitative_model + 2. Send it to the client with show_intermediate_model message (displayMode: 'separate_window') + 3. Ask the client to review it in a separate window + 4. Then generate the SFD based on the CLD insights + - The main model being built must always match the session's modelType + + IMPORTANT RULES: + 1. To see the current model, call get_current_model() + 2. To modify the model, call update_model() with proposed changes + 3. To run simulations, call run_model() - it automatically uses the client's current model + 4. NEVER assume you know the model structure - always call get_current_model() first + 5. Always validate models rigorously before recommending simulations + 6. Explain the theoretical basis for your modeling decisions + 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! + 8. Assume NO limits on complexity - build comprehensive models as needed + + modeling_workflow: | + When building or modifying models, work efficiently: + 1. PROBLEM ARTICULATION: Ask only essential questions to understand the problem + 2. DYNAMIC HYPOTHESIS: Quickly develop causal theories about feedback structure + 3. FORMULATION: Create comprehensive equations with dimensional consistency + - Assume NO limits on model complexity - build as complex as needed + - Use arrays when modeling groups of similar entities + - Use modules when structure can be componentized + - Include all relevant variables and relationships for completeness + 4. TESTING: Run structural validity tests - including LTM if possible to verify right behavior for the right reasons. + 5. POLICY ANALYSIS: Identify high-leverage intervention points + 6. DOCUMENTATION: Document key assumptions and limitations + + modification_workflow: | + When modifying existing models: + 1. Call get_current_model() to review current structure + 2. Quickly analyze existing feedback loops and their theoretical implications + 3. Make changes efficiently, explaining technical rationale + 4. Use update_model() with clear theoretical reasoning + 5. Consider opportunities to use arrays or modules to simplify structure + 6. Recommend testing after significant modifications + + validation_rules: | + Enforce strict validation: + - All stocks must have valid initial values with units + - All equations must be dimensionally consistent + - Verify conservation laws (mass, energy, etc.) + - Ensure model boundaries are appropriate + - Validate against reference modes + - If possible, verify behavior comes from correct feedback mechanisms using LTM and Seldon + - Critique model structure and ask user for their assessment + + model_critique: | + Always critique models being built: + - Identify potential structural issues or missing relationships + - Question boundary adequacy + - Point out dimensional inconsistencies + - Ask user: "What are your thoughts on this model structure?" + - Ask user: "Do you see any missing feedback loops or relationships?" + - Get user opinion before finalizing major structural decisions + - Note: You have NO control over visual diagram aspects (layout, positioning, etc.) + + visualization_guidelines: | + Create analytical visualizations: + - Always plot reference modes alongside simulation output + - Show phase portraits for non-linear dynamics + - Display feedback loop dominance analysis + - Include confidence bounds where appropriate + - Annotate key transition points and equilibria + + action_sequence: + on_new_model_request: + - step: "ask_essential_questions" + description: "Ask only critical questions needed (time horizon, key variables, problem statement)" + + - step: "choose_diagram_type" + description: "Recommend CLD for hypothesis development, SFD for quantitative analysis" + + - step: "generate_model" + tools: ["generate_qualitative_model", "generate_quantitative_model"] + parameters: + supportsArrays: true + supportsModules: true + + - step: "critique_structure" + description: "Identify structural issues and get user opinion on model" + tools: ["discuss_with_mentor"] + always_execute: true + + - step: "validate_structure" + description: "Check dimensional consistency, conservation laws, boundary adequacy" + + - step: "recommend_tests" + description: "Suggest extreme conditions tests and sensitivity analysis" + + on_modification_request: + - step: "inspect_current_model" + tools: ["get_current_model"] + always_execute: true + + - step: "analyze_feedback_structure" + description: "Explain current feedback loops and their theoretical basis" + + - step: "explain_theoretical_rationale" + description: "Describe why changes are needed from SD theory perspective" + + - step: "apply_changes" + tools: ["update_model"] + + - step: "validate_modifications" + tools: ["get_current_model"] + description: "Verify changes maintain structural and dimensional consistency" + + - step: "recommend_validation_tests" + description: "Suggest specific tests to validate modifications" + + on_simulation_request: + - step: "validate_model_readiness" + description: "Check all parameters defined, equations valid, units consistent" + + - step: "run_simulation" + tools: ["run_model"] + + - step: "analyze_feedback_dominance" + tools: ["get_feedback_loop_analysis"] + always_execute: true + + - step: "create_analytical_visualization" + tools: ["create_visualization"] + always_execute: true + parameters: + type: "time_series" + + - step: "generate_loop_narrative" + description: "Generate LTM narrative to verify correct causal interpretation" + tools: ["generate_ltm_narrative"] + always_execute: true + + - step: "validate_behavior_causation" + description: "Use Seldon to verify behavior comes from correct feedback mechanisms" + tools: ["discuss_model_with_seldon"] + always_execute: true + + - step: "interpret_results" + description: "Explain behavior in terms of feedback loop dominance and SD theory" + + - step: "suggest_policy_tests" + description: "Recommend policy experiments based on loop analysis" + + tool_policies: + get_current_model: + when_to_use: "Always before any analysis or modification" + frequency: "At start of every modeling conversation" + + update_model: + when_to_use: "Only after thorough theoretical justification" + always_explain: true + require_confirmation: false + + run_model: + when_to_use: "After structural validation passes" + auto_suggest: true + + get_feedback_loop_analysis: + when_to_use: "After every simulation to explain behavior" + frequency: "Every time" + always_execute: true + + generate_ltm_narrative: + when_to_use: "After every simulation to verify causal mechanisms" + frequency: "Every time" + always_execute: true + + discuss_model_with_seldon: + when_to_use: "Default discussion tool - use SD terminology freely, verify behavior causation" + frequency: "After simulations and when critiquing models" + auto_suggest: true + + discuss_model_across_runs: + when_to_use: "Only when specifically asked to simplify language" + + discuss_with_mentor: + when_to_use: "When needing to ask critical questions or get user opinions on model validity" + frequency: "When critiquing models or validating assumptions" + + generate_quantitative_model: + when_to_use: "For SFD models - use arrays and modules when appropriate" + parameters: + supportsArrays: true + supportsModules: true + + generate_qualitative_model: + when_to_use: "For CLD models - can be comprehensive" + + create_visualization: + when_to_use: "After every simulation and for policy analysis" + default_type: "time_series" + + communication: + style: "direct, technical, efficient" + explain_reasoning: true + use_examples: true + avoid_jargon: false + + response_format: + thinking: "Concise theoretical reasoning from SD principles" + actions: "Direct descriptions of tools and their purpose" + results: "Technical interpretation in terms of feedback structure and SD theory" + next_steps: "Recommend next modeling steps or validation tests" + + verbosity: "medium" + tone: "professional, confident, efficient" + + error_handling: + on_tool_failure: + retry: false + explain_error: true + suggest_alternative: true + + on_invalid_model: + describe_issues: true + offer_fixes: true + use_tools: ["update_model"] + explain_theory: true + + on_simulation_failure: + show_error: true + diagnose: true + suggest_model_fixes: true + explain_likely_causes: true + + constraints: + max_model_complexity: + variables: "Unlimited - build as complex as needed for accuracy" + feedback_loops: "Unlimited - include all relevant feedback structure" + + complexity_philosophy: | + - Assume NO limits on model complexity + - Build comprehensive models with all relevant variables and relationships + - Use arrays and modules freely to manage complexity + - Favor accuracy and completeness over simplicity + - If a complete model needs 50+ variables, build 50+ variables + - Let the problem domain dictate complexity, not arbitrary limits + + require_documentation: true + enforce_units: true + validate_equations: true + check_dimensional_consistency: true diff --git a/agent/test-client.html b/agent/test-client.html new file mode 100644 index 00000000..64225d4c --- /dev/null +++ b/agent/test-client.html @@ -0,0 +1,760 @@ + + + + + + SD-AI Agent WebSocket Test Client + + + +
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SD-AI Agent WebSocket Test Client

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Test and document the WebSocket agent server implementation

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Status: Disconnected

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1Connection

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2Session Initialization

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3Send User Message

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Message Log

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Model Data

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+ This is the model returned by get_current_model tool +
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+ + + + diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js new file mode 100644 index 00000000..a8ce36bb --- /dev/null +++ b/agent/tools/BuiltInTools.js @@ -0,0 +1,416 @@ +import { z } from 'zod'; +import { + callQuantitativeEngine, + callQualitativeEngine, + callSeldonEngine, + callSeldonILEEngine, + callDocumentationEngine, + callLTMEngine, + callSeldonMentorEngine +} from '../utilities/EngineWrapper.js'; +import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; +import { SDModelSchema } from '../utilities/MessageProtocol.js'; +import logger from '../../utilities/logger.js'; + +/** + * BuiltInTools + * Creates an MCP server with all SD-AI engine tools plus visualization + * + * Tools provided: + * - generate_quantitative_model + * - generate_qualitative_model + * - discuss_model_with_seldon + * - discuss_model_across_runs + * - discuss_with_mentor + * - generate_documentation + * - generate_ltm_narrative + * - create_visualization + */ + +/** + * Create built-in tools MCP server + * + * Note: This is a placeholder for the actual MCP server creation + * The Claude Agent SDK's createSdkMcpServer will be used here + */ +export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient) { + // For now, return a plain object with tool definitions + // This will be converted to an MCP server when integrating with Claude Agent SDK + + const vizEngine = new VisualizationEngine(sessionManager, sessionId); + + return { + name: 'sd_ai_engines', + tools: { + generate_quantitative_model: { + description: 'Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure. Use this for building computational models that can be simulated.', + inputSchema: z.object({ + prompt: z.string().describe('Description of the model to generate'), + currentModel: SDModelSchema.optional().describe('Existing model to build upon'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + supportsArrays: z.boolean().optional().describe('Whether client supports arrayed models'), + supportsModules: z.boolean().optional().describe('Whether client supports modules') + }).optional() + }), + handler: async ({ prompt, currentModel, parameters }) => { + try { + const result = await callQuantitativeEngine(prompt, currentModel, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Build response + const responseText = JSON.stringify({ + model: result.model, + supportingInfo: result.supportingInfo + }, null, 2); + + return { + content: [{ + type: 'text', + text: responseText + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + generate_qualitative_model: { + description: 'Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships. Use this for conceptual models focusing on system structure.', + inputSchema: z.object({ + prompt: z.string().describe('Description of the model to generate'), + currentModel: SDModelSchema.optional().describe('Existing model to build upon'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM') + }).optional() + }), + handler: async ({ prompt, currentModel, parameters }) => { + try { + const result = await callQualitativeEngine(prompt, currentModel, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Build response + const responseText = JSON.stringify({ + model: result.model, + supportingInfo: result.supportingInfo + }, null, 2); + + return { + content: [{ + type: 'text', + text: responseText + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + discuss_model_with_seldon: { + description: 'Have an expert-level discussion about the model using System Dynamics terminology. Use this for technical analysis and SD theory discussions.', + inputSchema: z.object({ + prompt: z.string().describe('Question or topic for discussion'), + model: SDModelSchema.describe('The model to discuss'), + feedbackLoops: z.array(z.any()).optional().describe('Feedback loop analysis data'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + behaviorContent: z.string().optional().describe('Time series behavior data') + }).optional() + }), + handler: async ({ prompt, model, feedbackLoops, parameters }) => { + try { + const result = await callSeldonEngine(prompt, model, feedbackLoops, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result.output, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + discuss_model_across_runs: { + description: 'Have a user-friendly discussion about the model without jargon, with the ability to compare and explain differences between simulation runs. Use this for explaining models to beginners or analyzing how different scenarios produce different outcomes.', + inputSchema: z.object({ + prompt: z.string().describe('Question or topic for discussion'), + model: SDModelSchema.describe('The model to discuss'), + runName: z.string().optional().describe('Simulation run ID for context'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + behaviorContent: z.string().optional().describe('Time series behavior data') + }).optional() + }), + handler: async ({ prompt, model, runName, parameters }) => { + try { + const result = await callSeldonILEEngine(prompt, model, runName, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result.output, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + generate_documentation: { + description: 'Auto-generate documentation for model variables including descriptions and polarity.', + inputSchema: z.object({ + model: SDModelSchema.describe('The model to document'), + parameters: z.object({ + model: z.string().optional() + }).optional() + }), + handler: async ({ model, parameters }) => { + try { + const result = await callDocumentationEngine(model, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + model: result.model, + supportingInfo: result.supportingInfo + }, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + generate_ltm_narrative: { + description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', + inputSchema: z.object({ + model: SDModelSchema.describe('The model to analyze'), + feedbackLoops: z.array(z.any()).describe('Feedback loop analysis data'), + parameters: z.object({ + model: z.string().optional() + }).optional() + }), + handler: async ({ model, feedbackLoops, parameters }) => { + try { + const result = await callLTMEngine(model, feedbackLoops, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + feedbackLoops: result.feedbackLoops, + output: result.output + }, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + discuss_with_mentor: { + description: 'Ask thoughtful questions to the user to guide their learning and help them think through System Dynamics concepts. Use this to engage users in Socratic dialogue about their model.', + inputSchema: z.object({ + prompt: z.string().describe('The question or guidance to provide to the user'), + model: SDModelSchema.describe('The model being discussed'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM') + }).optional() + }), + handler: async ({ prompt, model, parameters }) => { + try { + const result = await callSeldonMentorEngine(prompt, model, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result.output, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }, + + create_visualization: { + description: `Create a data visualization and send it to the client for display in chat. + +Visualization types: +- time_series: Line plots showing variables over time +- phase_portrait: State-space plots (stock vs stock) +- feedback_dominance: Stacked area chart of loop influence +- comparison: Multi-run comparison charts + +Use useAICustom=true to have AI generate custom matplotlib code for complex visualizations.`, + inputSchema: z.object({ + type: z.enum(['time_series', 'phase_portrait', 'feedback_dominance', 'comparison']).optional(), + data: z.object({}).passthrough().describe('The data to visualize (time series format or feedback loop data)'), + variables: z.array(z.string()).describe('Variables to include in visualization'), + title: z.string().describe('Visualization title'), + description: z.string().optional().describe('Description of what the visualization shows'), + usePython: z.boolean().optional().describe('Use Python/matplotlib instead of Plotly. Default: false'), + useAICustom: z.boolean().optional().describe('Use AI to generate custom Python visualization code. Default: false'), + dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), + visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), + options: z.object({ + timeUnits: z.string().optional(), + timeRange: z.object({ start: z.number(), end: z.number() }).optional(), + highlightPeriods: z.array(z.object({ + start: z.number(), + end: z.number(), + label: z.string(), + color: z.string().optional() + })).optional(), + width: z.number().optional(), + height: z.number().optional(), + customRequirements: z.string().optional().describe('Additional requirements for AI visualization') + }).optional() + }), + handler: async ({ type, data, variables, title, description, usePython, useAICustom, dataDescription, visualizationGoal, options }) => { + try { + const vizOptions = { + ...options, + title, + description, + usePython, + useAICustom, + dataDescription, + visualizationGoal + }; + + let vizMessage; + if (useAICustom) { + vizMessage = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); + } else { + vizMessage = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); + } + + // Send visualization to client + await sendToClient({ + type: 'visualization', + sessionId: sessionId, + ...vizMessage + }); + + return { + content: [{ + type: 'text', + text: `Created ${useAICustom ? 'AI-custom' : type || 'time_series'} visualization: "${title}" and sent to client` + }] + }; + } catch (error) { + logger.error('Visualization error:', error); + return { + content: [{ type: 'text', text: `Failed to create visualization: ${error.message}` }], + isError: true + }; + } + } + } + } + }; +} + +/** + * Get list of built-in tool names + */ +export function getBuiltInToolNames() { + return [ + 'generate_quantitative_model', + 'generate_qualitative_model', + 'discuss_model_with_seldon', + 'discuss_model_across_runs', + 'discuss_with_mentor', + 'generate_documentation', + 'generate_ltm_narrative', + 'create_visualization' + ]; +} diff --git a/agent/tools/DynamicToolServer.js b/agent/tools/DynamicToolServer.js new file mode 100644 index 00000000..d19dfa8b --- /dev/null +++ b/agent/tools/DynamicToolServer.js @@ -0,0 +1,252 @@ +import { z } from 'zod'; + +/** + * DynamicToolServer + * Creates an MCP server from client-registered tools + * + * Handles: + * - Converting client tool definitions to MCP format + * - Proxying tool calls to client via WebSocket + * - Waiting for client responses with timeout + * - Special handling for get_current_model and update_model + */ +export class DynamicToolServer { + constructor(sessionManager, sessionId, sendToClient) { + this.sessionManager = sessionManager; + this.sessionId = sessionId; + this.sendToClient = sendToClient; + this.mcpServer = null; + } + + /** + * Update tools based on client registration + */ + updateTools(clientTools) { + const session = this.sessionManager.getSession(this.sessionId); + if (!session) { + throw new Error(`Session not found: ${this.sessionId}`); + } + + // Store registered tools + session.registeredTools = clientTools; + + // Create MCP server from client tools + this.mcpServer = this.createMcpServerFromClientTools(clientTools); + + console.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => t.name).join(', ')}`); + } + + /** + * Create MCP server from client tool definitions + */ + createMcpServerFromClientTools(clientTools) { + const tools = {}; + + for (const toolDef of clientTools) { + tools[toolDef.name] = { + description: toolDef.description, + inputSchema: this.convertInputSchema(toolDef.inputSchema), + handler: this.createToolHandler(toolDef) + }; + } + + return { + name: 'client_tools', + tools + }; + } + + /** + * Convert client input schema to Zod schema + */ + convertInputSchema(inputSchema) { + // inputSchema is in JSON Schema format from client + // Convert to Zod schema + const properties = inputSchema.properties || {}; + const required = inputSchema.required || []; + + const zodSchema = {}; + + for (const [propName, propDef] of Object.entries(properties)) { + let zodField = this.jsonSchemaTypeToZod(propDef); + + // Make optional if not required + if (!required.includes(propName)) { + zodField = zodField.optional(); + } + + // Add description if present + if (propDef.description) { + zodField = zodField.describe(propDef.description); + } + + zodSchema[propName] = zodField; + } + + return z.object(zodSchema); + } + + /** + * Convert JSON Schema type to Zod type + */ + jsonSchemaTypeToZod(propDef) { + switch (propDef.type) { + case 'string': + return z.string(); + case 'number': + return z.number(); + case 'integer': + return z.number().int(); + case 'boolean': + return z.boolean(); + case 'array': + if (propDef.items) { + return z.array(this.jsonSchemaTypeToZod(propDef.items)); + } + return z.array(z.any()); + case 'object': + if (propDef.properties) { + return this.convertInputSchema(propDef); + } + return z.object({}).passthrough(); + default: + return z.any(); + } + } + + /** + * Create a tool handler that proxies to the client + */ + createToolHandler(toolDef) { + return async (args) => { + try { + // Special handling for specific tools + if (toolDef.name === 'get_current_model') { + return await this.handleGetCurrentModel(args); + } else if (toolDef.name === 'update_model') { + return await this.handleUpdateModel(args); + } else { + return await this.requestClientExecution(toolDef.name, args); + } + } catch (error) { + console.error(`Error executing client tool ${toolDef.name}:`, error); + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + }; + } + + /** + * Handle get_current_model (returns and caches model) + */ + async handleGetCurrentModel(args) { + const result = await this.requestClientExecution('get_current_model', args); + + // Update session with latest model + if (result.model) { + this.sessionManager.updateClientModel(this.sessionId, result.model); + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result, null, 2) + }] + }; + } + + /** + * Handle update_model (sets/updates the model and caches it) + * Note: No distinction between creating and updating - always returns the full model + */ + async handleUpdateModel(args) { + const result = await this.requestClientExecution('update_model', args); + + // Update session with the new model state + if (result.model) { + this.sessionManager.updateClientModel(this.sessionId, result.model); + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result, null, 2) + }] + }; + } + + /** + * Request client to execute a tool + */ + async requestClientExecution(toolName, args, timeout = 30000) { + const callId = this.generateCallId(); + + // Create pending call that will be resolved when client responds + const resultPromise = this.sessionManager.addPendingToolCall( + this.sessionId, + callId, + toolName, + args + ); + + // Send tool call request to client + await this.sendToClient({ + type: 'tool_call_request', + sessionId: this.sessionId, + callId, + toolName, + arguments: args, + timeout + }); + + // Wait for client response with timeout + const timeoutPromise = new Promise((_, reject) => { + setTimeout(() => { + reject(new Error(`Tool call timeout: ${toolName} did not respond within ${timeout}ms`)); + }, timeout); + }); + + try { + const result = await Promise.race([resultPromise, timeoutPromise]); + return result; + } catch (error) { + // Clean up pending call + const pendingCall = this.sessionManager.getPendingToolCall(this.sessionId, callId); + if (pendingCall) { + this.sessionManager.resolvePendingToolCall(this.sessionId, callId, { error: error.message }, true); + } + throw error; + } + } + + /** + * Generate a unique call ID + */ + generateCallId() { + return `call_${Date.now()}_${Math.random().toString(36).substring(7)}`; + } + + /** + * Get the MCP server + */ + getMcpServer() { + return this.mcpServer; + } + + /** + * Get list of registered client tool names + */ + getClientToolNames() { + const session = this.sessionManager.getSession(this.sessionId); + return session?.registeredTools.map(t => t.name) || []; + } + + /** + * Check if a tool is a client tool + */ + isClientTool(toolName) { + return this.getClientToolNames().includes(toolName); + } +} diff --git a/agent/utilities/AgentRegistry.js b/agent/utilities/AgentRegistry.js new file mode 100644 index 00000000..2d0a4f67 --- /dev/null +++ b/agent/utilities/AgentRegistry.js @@ -0,0 +1,93 @@ +import { readdirSync, readFileSync } from 'fs'; +import { join, dirname } from 'path'; +import { fileURLToPath } from 'url'; +import yaml from 'js-yaml'; +import logger from '../../utilities/logger.js'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +/** + * AgentRegistry + * Scans the agent/config directory and provides a list of available agents + */ + +/** + * Get all available agents by scanning the config directory + * @returns {Array} Array of agent definitions + */ +export function getAvailableAgents() { + const configDir = join(__dirname, '../config'); + const agents = []; + + try { + const files = readdirSync(configDir); + + for (const file of files) { + // Skip non-YAML files + if (!file.endsWith('.yaml') && !file.endsWith('.yml')) { + continue; + } + + try { + const filePath = join(configDir, file); + const content = readFileSync(filePath, 'utf8'); + const config = yaml.load(content); + + // Extract agent metadata + if (config.agent) { + const agentId = file.replace(/\.(yaml|yml)$/, ''); + agents.push({ + id: agentId, + name: config.agent.name, + description: config.agent.description, + version: config.agent.version || '1.0', + configFile: file + }); + } + } catch (error) { + logger.warn(`Failed to load agent config from ${file}:`, error.message); + } + } + + logger.log(`Found ${agents.length} agent(s)`); + return agents; + } catch (error) { + logger.error('Failed to scan agent config directory:', error); + return []; + } +} + +/** + * Get agent config by ID + * @param {string} agentId - The agent ID (filename without extension) + * @returns {object|null} Agent configuration or null if not found + */ +export function getAgentConfig(agentId) { + const configDir = join(__dirname, '../config'); + const configFile = `${agentId}.yaml`; + const filePath = join(configDir, configFile); + + try { + const content = readFileSync(filePath, 'utf8'); + const config = yaml.load(content); + return config; + } catch (error) { + logger.error(`Failed to load agent config for ${agentId}:`, error); + return null; + } +} + +/** + * Get default agent ID + * @returns {string} The default agent ID + */ +export function getDefaultAgentId() { + // Try to use ganos-lal as default, fall back to first available + const agents = getAvailableAgents(); + const ganosLal = agents.find(a => a.id === 'ganos-lal'); + if (ganosLal) { + return 'ganos-lal'; + } + return agents.length > 0 ? agents[0].id : null; +} diff --git a/agent/utilities/ConfigManager.js b/agent/utilities/ConfigManager.js new file mode 100644 index 00000000..7b5d2f33 --- /dev/null +++ b/agent/utilities/ConfigManager.js @@ -0,0 +1,380 @@ +import { readFileSync } from 'fs'; +import yaml from 'js-yaml'; +import logger from '../../utilities/logger.js'; + +/** + * ConfigManager + * Loads and manages agent configuration from YAML files + * + * Key Features: + * - Loads agent configuration from YAML files (e.g., ganos-lal.yaml, myrddin.yaml) + * - Merges with session-specific config + * - Merges with runtime directives + * - Generates system prompts for Claude Agent SDK + * - NO filesystem writes - all modifications in memory only + */ +export class ConfigManager { + constructor(configPath) { + this.configPath = configPath; + this.baseConfig = this.loadConfig(configPath); + // Expose config for tests + this.config = { agent: this.baseConfig }; + } + + /** + * Load configuration from YAML file (READ-ONLY) + */ + loadConfig(path) { + try { + const content = readFileSync(path, 'utf8'); + const config = yaml.load(content); + logger.log(`Loaded agent configuration from ${path}`); + return config.agent; // Get the 'agent' key from YAML + } catch (err) { + logger.error(`Failed to load config from ${path}:`, err); + throw new Error(`Configuration file not found or invalid: ${path}`); + } + } + + /** + * Build system prompt by merging configs + */ + buildSystemPrompt(sessionConfig = {}, runtimeDirectives = {}, modelType = null) { + const merged = this.mergeConfigs(this.baseConfig, sessionConfig, runtimeDirectives); + merged.modelType = modelType; + return this.formatSystemPrompt(merged); + } + + /** + * Merge configurations (runtime > session > base) + */ + mergeConfigs(base, session, runtime) { + const merged = { + ...base, + instructions: { + ...base.instructions + }, + toolPolicies: { + ...base.toolPolicies + }, + communication: { + ...base.communication + } + }; + + // Apply session-level overrides + if (session.agentInstructions) { + if (session.agentInstructions.role) { + merged.sessionRole = session.agentInstructions.role; + } + if (session.agentInstructions.constraints) { + merged.sessionConstraints = session.agentInstructions.constraints; + } + if (session.agentInstructions.goals) { + merged.sessionGoals = session.agentInstructions.goals; + } + if (session.agentInstructions.workflowOverrides) { + merged.workflowOverrides = session.agentInstructions.workflowOverrides; + } + } + + if (session.personality) { + merged.communication = { + ...merged.communication, + ...session.personality + }; + } + + // Apply runtime directives + if (runtime.temporaryInstructions) { + merged.runtimeInstructions = runtime.temporaryInstructions; + } + + return merged; + } + + /** + * Format merged config into system prompt + */ + formatSystemPrompt(config) { + const sections = []; + + // General instructions + sections.push('# System Dynamics Modeling Assistant\n'); + + // CRITICAL: Hard-coded model type enforcement rules + sections.push('\n## CRITICAL: Model Type Enforcement'); + sections.push('Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram).'); + sections.push('The model type is set at session initialization and CANNOT be changed.'); + sections.push('NEVER switch between CLD and SFD during a session.'); + + // CRITICAL: Hard-coded model validation rules + sections.push('\n## CRITICAL: Automatic Model Validation'); + sections.push('After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST:'); + sections.push('1. Immediately use get_current_model to retrieve the updated model'); + sections.push('2. Check the model for errors and warnings'); + sections.push('3. If ERRORS are present: You MUST fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them.'); + sections.push('4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them.'); + sections.push('5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed.'); + + // Model type declaration + if (config.modelType) { + sections.push(`\n## SESSION MODEL TYPE: ${config.modelType.toUpperCase()}`); + sections.push(`This session is working with ${config.modelType === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`); + sections.push('You must work exclusively with this model type for the entire session.\n'); + } + + sections.push(config.instructions.general); + + // Session role override + if (config.sessionRole) { + sections.push('\n## Your Role'); + sections.push(config.sessionRole); + } + + // Modeling workflow + sections.push('\n## Modeling Workflow'); + sections.push(config.instructions.modeling_workflow); + + // Modification workflow + sections.push('\n## Modification Workflow'); + sections.push(config.instructions.modification_workflow); + + // Validation rules + sections.push('\n## Validation Rules'); + sections.push(config.instructions.validation_rules); + + // Visualization guidelines + if (config.instructions.visualization_guidelines) { + sections.push('\n## Visualization Guidelines'); + sections.push(config.instructions.visualization_guidelines); + } + + // Tool policies + sections.push('\n## Tool Usage Policies'); + sections.push(this.formatToolPolicies(config.toolPolicies)); + + // Action sequences + sections.push('\n## Action Sequences'); + sections.push(this.formatActionSequences(config.actionSequence, config.workflowOverrides)); + + // Communication style + sections.push('\n## Communication Style'); + sections.push(this.formatCommunicationGuidelines(config.communication)); + + // Error handling + sections.push('\n## Error Handling'); + sections.push(this.formatErrorHandling(config.errorHandling)); + + // Constraints + sections.push('\n## Constraints'); + sections.push(this.formatConstraints(config.constraints)); + + // Session goals + if (config.sessionGoals && config.sessionGoals.length > 0) { + sections.push('\n## Session Goals'); + config.sessionGoals.forEach(goal => { + sections.push(`- ${goal}`); + }); + } + + // Session constraints + if (config.sessionConstraints && config.sessionConstraints.length > 0) { + sections.push('\n## Session Constraints'); + config.sessionConstraints.forEach(constraint => { + sections.push(`- ${constraint}`); + }); + } + + // Runtime instructions + if (config.runtimeInstructions && config.runtimeInstructions.length > 0) { + sections.push('\n## IMPORTANT: Current Instructions'); + config.runtimeInstructions.forEach(instruction => { + sections.push(`- ${instruction}`); + }); + } + + return sections.join('\n'); + } + + /** + * Format tool policies + */ + formatToolPolicies(policies) { + const lines = []; + + for (const [toolName, policy] of Object.entries(policies)) { + lines.push(`\n### ${toolName}`); + if (policy.whenToUse) { + lines.push(`**When to use:** ${policy.whenToUse}`); + } + if (policy.frequency) { + lines.push(`**Frequency:** ${policy.frequency}`); + } + if (policy.alwaysExplain) { + lines.push(`**Always explain** your reasoning when using this tool`); + } + if (policy.autoSuggest) { + lines.push(`**Auto-suggest** this tool when appropriate`); + } + if (policy.parameters) { + lines.push(`**Default parameters:** ${JSON.stringify(policy.parameters)}`); + } + } + + return lines.join('\n'); + } + + /** + * Format action sequences + */ + formatActionSequences(sequences, overrides = {}) { + const lines = []; + + // Handle missing or null sequences + if (!sequences) { + return ''; + } + + for (const [triggerType, steps] of Object.entries(sequences)) { + // Check for workflow overrides + const effectiveSteps = overrides?.[triggerType] || steps; + + lines.push(`\n### ${triggerType}`); + effectiveSteps.forEach((step, idx) => { + lines.push(`${idx + 1}. **${step.step}**`); + if (step.description) { + lines.push(` ${step.description}`); + } + if (step.tools) { + lines.push(` Tools: ${step.tools.join(', ')}`); + } + if (step.alwaysExecute) { + lines.push(` Always execute this step`); + } + if (step.condition) { + lines.push(` Condition: ${step.condition}`); + } + }); + } + + return lines.join('\n'); + } + + /** + * Format communication guidelines + */ + formatCommunicationGuidelines(communication) { + const lines = []; + + lines.push(`**Style:** ${communication.style}`); + if (communication.explainReasoning) { + lines.push('- Always explain your reasoning'); + } + if (communication.useExamples) { + lines.push('- Use examples to clarify concepts'); + } + if (communication.avoidJargon !== undefined) { + lines.push(communication.avoidJargon + ? '- Avoid technical jargon' + : '- System Dynamics terminology is acceptable'); + } + + if (communication.responseFormat) { + lines.push('\n**Response Format:**'); + for (const [aspect, guideline] of Object.entries(communication.responseFormat)) { + lines.push(`- ${aspect}: ${guideline}`); + } + } + + if (communication.verbosity) { + lines.push(`\n**Verbosity level:** ${communication.verbosity}`); + } + if (communication.tone) { + lines.push(`**Tone:** ${communication.tone}`); + } + + return lines.join('\n'); + } + + /** + * Format error handling + */ + formatErrorHandling(errorHandling) { + const lines = []; + + if (!errorHandling) { + return ''; + } + + if (errorHandling.onToolFailure) { + lines.push('**On tool failure:**'); + Object.entries(errorHandling.onToolFailure).forEach(([key, value]) => { + lines.push(`- ${key}: ${value}`); + }); + } + + if (errorHandling.onInvalidModel) { + lines.push('\n**On invalid model:**'); + Object.entries(errorHandling.onInvalidModel).forEach(([key, value]) => { + lines.push(`- ${key}: ${value}`); + }); + } + + if (errorHandling.onSimulationFailure) { + lines.push('\n**On simulation failure:**'); + Object.entries(errorHandling.onSimulationFailure).forEach(([key, value]) => { + lines.push(`- ${key}: ${value}`); + }); + } + + return lines.join('\n'); + } + + /** + * Format constraints + */ + formatConstraints(constraints) { + const lines = []; + + if (constraints.maxModelComplexity) { + lines.push('**Maximum model complexity:**'); + Object.entries(constraints.maxModelComplexity).forEach(([key, value]) => { + lines.push(`- ${key}: ${value}`); + }); + } + + if (constraints.requireDocumentation) { + lines.push('- All variables must have documentation'); + } + if (constraints.enforceUnits) { + lines.push('- All variables must have units'); + } + if (constraints.validateEquations) { + lines.push('- All equations must be validated'); + } + + return lines.join('\n'); + } + + /** + * Get action sequence for a specific trigger + */ + getActionSequence(triggerType) { + return this.baseConfig.actionSequence?.[triggerType] || []; + } + + /** + * Get tool policy + */ + getToolPolicy(toolName) { + return this.baseConfig.toolPolicies?.[toolName]; + } + + /** + * Get base config (for inspection) + */ + getBaseConfig() { + return this.baseConfig; + } +} diff --git a/agent/utilities/EngineWrapper.js b/agent/utilities/EngineWrapper.js new file mode 100644 index 00000000..dc95ffc3 --- /dev/null +++ b/agent/utilities/EngineWrapper.js @@ -0,0 +1,280 @@ +import logger from '../../utilities/logger.js'; + +/** + * EngineWrapper + * Adapts existing SD-AI engines to be called as functions + * + * Provides a unified interface to call: + * - Quantitative Engine (SFD generation) + * - Qualitative Engine (CLD generation) + * - Seldon (expert discussion) + * - Seldon-ILE-User (user-friendly discussion) + * - Generate Documentation + * - LTM Narrative + */ + +/** + * Call the Quantitative Engine + */ +export async function callQuantitativeEngine(prompt, currentModel, parameters = {}) { + try { + // Dynamically import the engine + const { default: QuantitativeEngine } = await import('../../engines/quantitative/engine.js'); + + // Create engine instance with parameters + const engine = new QuantitativeEngine(parameters); + + // Call generate method + const result = await engine.generate(prompt, currentModel, parameters); + + return { + success: true, + model: result.model, + supportingInfo: result.supportingInfo + }; + + } catch (error) { + logger.error('Quantitative Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Call the Qualitative Engine + */ +export async function callQualitativeEngine(prompt, currentModel, parameters = {}) { + try { + const { default: QualitativeEngine } = await import('../../engines/qualitative/engine.js'); + + const engine = new QualitativeEngine(parameters); + const result = await engine.generate(prompt, currentModel, parameters); + + return { + success: true, + model: result.model, + supportingInfo: result.supportingInfo + }; + + } catch (error) { + logger.error('Qualitative Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Call Seldon (expert discussion) + */ +export async function callSeldonEngine(prompt, model, feedbackLoops, parameters = {}) { + try { + const { default: SeldonEngine } = await import('../../engines/seldon/engine.js'); + + const engine = new SeldonEngine(parameters); + + // Prepare parameters for Seldon + const seldonParams = { + ...parameters, + feedbackContent: feedbackLoops ? { feedbackLoops } : undefined + }; + + const result = await engine.generate(prompt, model, seldonParams); + + return { + success: true, + output: result.output + }; + + } catch (error) { + logger.error('Seldon Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Call Seldon-ILE-User (user-friendly discussion) + */ +export async function callSeldonILEEngine(prompt, model, runName, parameters = {}) { + try { + const { default: SeldonILEEngine } = await import('../../engines/seldon-ile-user/engine.js'); + + const engine = new SeldonILEEngine(parameters); + + // Prepare parameters + const seldonParams = { + ...parameters, + currentRunName: runName + }; + + const result = await engine.generate(prompt, model, seldonParams); + + return { + success: true, + output: result.output + }; + + } catch (error) { + logger.error('Seldon-ILE Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Call Generate Documentation Engine + */ +export async function callDocumentationEngine(model, parameters = {}) { + try { + const { default: DocumentationEngine } = await import('../../engines/generate-documentation/engine.js'); + + const engine = new DocumentationEngine(parameters); + + // Documentation engine typically doesn't need a prompt + const result = await engine.generate('', model, parameters); + + return { + success: true, + model: result.model, + supportingInfo: result.supportingInfo + }; + + } catch (error) { + logger.error('Documentation Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Call LTM Narrative Engine + */ +export async function callLTMEngine(model, feedbackLoops, parameters = {}) { + try { + const { default: LTMEngine } = await import('../../engines/ltm-narrative/engine.js'); + + const engine = new LTMEngine(parameters); + + // LTM needs feedback loop content + const ltmParams = { + ...parameters, + feedbackContent: { feedbackLoops } + }; + + const result = await engine.generate('', model, ltmParams); + + return { + success: true, + feedbackLoops: result.feedbackLoops, + output: result.output + }; + + } catch (error) { + logger.error('LTM Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Call Seldon Mentor Engine + */ +export async function callSeldonMentorEngine(prompt, model, parameters = {}) { + try { + const { default: SeldonMentorEngine } = await import('../../engines/seldon-mentor/engine.js'); + + const engine = new SeldonMentorEngine(parameters); + + const result = await engine.generate(prompt, model, parameters); + + return { + success: true, + output: result.output + }; + + } catch (error) { + logger.error('Seldon Mentor Engine error:', error); + return { + success: false, + error: error.message + }; + } +} + +/** + * Get list of available engines with their metadata + */ +export async function getAvailableEngines() { + // Dynamically import all engines to get their metadata + const { default: QuantitativeEngine } = await import('../../engines/quantitative/engine.js'); + const { default: QualitativeEngine } = await import('../../engines/qualitative/engine.js'); + const { default: SeldonEngine } = await import('../../engines/seldon/engine.js'); + const { default: SeldonILEEngine } = await import('../../engines/seldon-ile-user/engine.js'); + const { default: DocumentationEngine } = await import('../../engines/generate-documentation/engine.js'); + const { default: LTMEngine } = await import('../../engines/ltm-narrative/engine.js'); + const { default: SeldonMentorEngine } = await import('../../engines/seldon-mentor/engine.js'); + + return [ + { + name: 'generate_quantitative_model', + displayName: 'Quantitative Model Generator', + description: QuantitativeEngine.description(), + modes: QuantitativeEngine.supportedModes(), + wrapper: callQuantitativeEngine + }, + { + name: 'generate_qualitative_model', + displayName: 'Qualitative Model Generator', + description: QualitativeEngine.description(), + modes: QualitativeEngine.supportedModes(), + wrapper: callQualitativeEngine + }, + { + name: 'discuss_model_with_seldon', + displayName: 'Seldon Expert Discussion', + description: SeldonEngine.description(), + modes: SeldonEngine.supportedModes(), + wrapper: callSeldonEngine + }, + { + name: 'discuss_model_across_runs', + displayName: 'Cross-Run Model Discussion', + description: SeldonILEEngine.description(), + modes: SeldonILEEngine.supportedModes(), + wrapper: callSeldonILEEngine + }, + { + name: 'generate_documentation', + displayName: 'Documentation Generator', + description: DocumentationEngine.description(), + modes: DocumentationEngine.supportedModes(), + wrapper: callDocumentationEngine + }, + { + name: 'generate_ltm_narrative', + displayName: 'LTM Narrative Generator', + description: LTMEngine.description(), + modes: LTMEngine.supportedModes(), + wrapper: callLTMEngine + }, + { + name: 'discuss_with_mentor', + displayName: 'Seldon Mentor Discussion', + description: SeldonMentorEngine.description(), + modes: SeldonMentorEngine.supportedModes(), + wrapper: callSeldonMentorEngine + } + ]; +} diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js new file mode 100644 index 00000000..b0464c54 --- /dev/null +++ b/agent/utilities/MessageProtocol.js @@ -0,0 +1,386 @@ +import { z } from 'zod'; + +/** + * Message Protocol Schemas + * Defines all WebSocket message types and their validation schemas + */ + +// ============================================================================ +// SHARED SCHEMAS +// ============================================================================ + +/** + * SD-JSON Model Schema + * Accepts any model structure (CLD or SFD) with minimal validation + * Uses passthrough to allow additional fields defined by LLMWrapper schemas + */ +export const SDModelSchema = z.object({ + variables: z.array(z.any()).optional(), + relationships: z.array(z.any()).optional(), + specs: z.object({}).passthrough().optional(), + modules: z.array(z.any()).optional(), + explanation: z.string().optional(), + title: z.string().optional() +}).passthrough().describe('SD-JSON model structure (CLD or SFD)'); + +// ============================================================================ +// CLIENT → SERVER MESSAGES +// ============================================================================ + +export const ToolDefinitionSchema = z.object({ + name: z.string(), + description: z.string(), + inputSchema: z.object({ + type: z.literal('object'), + properties: z.record(z.any()), + required: z.array(z.string()).optional() + }) +}); + +export const InitializeSessionMessageSchema = z.object({ + type: z.literal('initialize_session'), + sessionId: z.string().optional(), + modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), + model: SDModelSchema, + tools: z.array(ToolDefinitionSchema), + sessionConfig: z.object({ + agentInstructions: z.object({ + role: z.string().optional(), + constraints: z.array(z.string()).optional(), + goals: z.array(z.string()).optional(), + workflowOverrides: z.record(z.any()).optional() + }).optional(), + personality: z.object({ + tone: z.string().optional(), + verbosity: z.enum(['low', 'medium', 'high']).optional() + }).optional() + }).optional(), + context: z.record(z.any()).optional(), + timestamp: z.string().optional() +}); + +export const ChatMessageSchema = z.object({ + type: z.literal('chat'), + sessionId: z.string(), + message: z.string(), + directives: z.object({ + temporaryInstructions: z.array(z.string()).optional(), + scope: z.string().optional() + }).optional(), + timestamp: z.string().optional() +}); + +export const ToolCallResponseMessageSchema = z.object({ + type: z.literal('tool_call_response'), + sessionId: z.string(), + callId: z.string(), + result: z.any(), + isError: z.boolean().optional().default(false), + timestamp: z.string().optional() +}); + +export const ModelUpdatedNotificationSchema = z.object({ + type: z.literal('model_updated_notification'), + sessionId: z.string(), + model: SDModelSchema, + changeReason: z.string(), + timestamp: z.string().optional() +}); + +export const DisconnectMessageSchema = z.object({ + type: z.literal('disconnect'), + sessionId: z.string() +}); + +export const ClientMessageSchema = z.discriminatedUnion('type', [ + InitializeSessionMessageSchema, + ChatMessageSchema, + ToolCallResponseMessageSchema, + ModelUpdatedNotificationSchema, + DisconnectMessageSchema +]); + +// ============================================================================ +// SERVER → CLIENT MESSAGES +// ============================================================================ + +export const SessionCreatedMessageSchema = z.object({ + type: z.literal('session_created'), + sessionId: z.string(), + timestamp: z.string().optional() +}); + +export const SessionReadyMessageSchema = z.object({ + type: z.literal('session_ready'), + sessionId: z.string(), + agentCapabilities: z.object({ + builtInTools: z.array(z.string()), + clientTools: z.array(z.string()) + }), + timestamp: z.string().optional() +}); + +export const AgentTextMessageSchema = z.object({ + type: z.literal('agent_text'), + sessionId: z.string(), + content: z.string(), + isThinking: z.boolean().optional().default(false), + timestamp: z.string().optional() +}); + +export const ToolCallInitiatedMessageSchema = z.object({ + type: z.literal('tool_call_initiated'), + sessionId: z.string(), + callId: z.string(), + toolName: z.string(), + arguments: z.record(z.any()), + isBuiltIn: z.boolean(), + timestamp: z.string().optional() +}); + +export const ToolCallRequestMessageSchema = z.object({ + type: z.literal('tool_call_request'), + sessionId: z.string(), + callId: z.string(), + toolName: z.string(), + arguments: z.record(z.any()), + timeout: z.number().optional().default(30000), + timestamp: z.string().optional() +}); + +export const ToolCallCompletedMessageSchema = z.object({ + type: z.literal('tool_call_completed'), + sessionId: z.string(), + callId: z.string(), + toolName: z.string(), + result: z.any(), + isError: z.boolean().optional().default(false), + responseType: z.enum(['model', 'discuss', 'ltm-discuss', 'other']).optional(), + timestamp: z.string().optional() +}); + +export const VisualizationMessageSchema = z.object({ + type: z.literal('visualization'), + sessionId: z.string(), + visualizationId: z.string(), + title: z.string(), + description: z.string().optional(), + format: z.enum(['plotly', 'image', 'vega']), + data: z.union([ + // Plotly format + z.object({ + data: z.array(z.any()), + layout: z.record(z.any()), + config: z.record(z.any()).optional() + }), + // Image format + z.object({ + encoding: z.literal('base64'), + mimeType: z.string(), + content: z.string(), + width: z.number(), + height: z.number() + }) + ]), + thumbnail: z.string().optional(), + metadata: z.object({ + createdBy: z.string(), + runId: z.string().optional(), + variables: z.array(z.string()).optional(), + timeRange: z.object({ + start: z.number(), + end: z.number() + }).optional() + }).optional(), + timestamp: z.string().optional() +}); + +export const AgentCompleteMessageSchema = z.object({ + type: z.literal('agent_complete'), + sessionId: z.string(), + finalMessage: z.string().optional(), + status: z.enum(['success', 'error', 'awaiting_user']), + timestamp: z.string().optional() +}); + +export const ErrorMessageSchema = z.object({ + type: z.literal('error'), + sessionId: z.string(), + error: z.string(), + errorCode: z.string().optional(), + recoverable: z.boolean().optional().default(true), + timestamp: z.string().optional() +}); + +export const ShowIntermediateModelMessageSchema = z.object({ + type: z.literal('show_intermediate_model'), + sessionId: z.string(), + modelType: z.enum(['cld', 'sfd']), + model: SDModelSchema, + purpose: z.string().describe('Why this intermediate model is being shown'), + displayMode: z.enum(['separate_window', 'inline', 'background']).describe('How the client should display this'), + timestamp: z.string().optional() +}); + +export const ServerMessageSchema = z.discriminatedUnion('type', [ + SessionCreatedMessageSchema, + SessionReadyMessageSchema, + AgentTextMessageSchema, + ToolCallInitiatedMessageSchema, + ToolCallRequestMessageSchema, + ToolCallCompletedMessageSchema, + VisualizationMessageSchema, + ShowIntermediateModelMessageSchema, + AgentCompleteMessageSchema, + ErrorMessageSchema +]); + +// ============================================================================ +// MESSAGE VALIDATION HELPERS +// ============================================================================ + +export function validateClientMessage(message) { + try { + return { + success: true, + data: ClientMessageSchema.parse(message) + }; + } catch (error) { + return { + success: false, + error: error.message, + details: error.errors + }; + } +} + +export function validateServerMessage(message) { + try { + return { + success: true, + data: ServerMessageSchema.parse(message) + }; + } catch (error) { + return { + success: false, + error: error.message, + details: error.errors + }; + } +} + +// ============================================================================ +// MESSAGE BUILDERS +// ============================================================================ + +export function createSessionCreatedMessage(sessionId) { + return { + type: 'session_created', + sessionId, + timestamp: new Date().toISOString() + }; +} + +export function createSessionReadyMessage(sessionId, capabilities) { + return { + type: 'session_ready', + sessionId, + agentCapabilities: capabilities, + timestamp: new Date().toISOString() + }; +} + +export function createAgentTextMessage(sessionId, content, isThinking = false) { + return { + type: 'agent_text', + sessionId, + content, + isThinking, + timestamp: new Date().toISOString() + }; +} + +export function createToolCallInitiatedMessage(sessionId, callId, toolName, args, isBuiltIn) { + return { + type: 'tool_call_initiated', + sessionId, + callId, + toolName, + arguments: args, + isBuiltIn, + timestamp: new Date().toISOString() + }; +} + +export function createToolCallRequestMessage(sessionId, callId, toolName, args, timeout = 30000) { + return { + type: 'tool_call_request', + sessionId, + callId, + toolName, + arguments: args, + timeout, + timestamp: new Date().toISOString() + }; +} + +export function createToolCallCompletedMessage(sessionId, callId, toolName, result, isError = false, responseType = null) { + return { + type: 'tool_call_completed', + sessionId, + callId, + toolName, + result, + isError, + ...(responseType && { responseType }), + timestamp: new Date().toISOString() + }; +} + +export function createVisualizationMessage(sessionId, vizId, title, format, data, options = {}) { + return { + type: 'visualization', + sessionId, + visualizationId: vizId, + title, + description: options.description, + format, + data, + thumbnail: options.thumbnail, + metadata: options.metadata, + timestamp: new Date().toISOString() + }; +} + +export function createAgentCompleteMessage(sessionId, status, finalMessage) { + return { + type: 'agent_complete', + sessionId, + finalMessage, + status, + timestamp: new Date().toISOString() + }; +} + +export function createErrorMessage(sessionId, error, errorCode, recoverable = true) { + return { + type: 'error', + sessionId, + error: typeof error === 'string' ? error : error.message, + errorCode, + recoverable, + timestamp: new Date().toISOString() + }; +} + +export function createShowIntermediateModelMessage(sessionId, modelType, model, purpose, displayMode = 'separate_window') { + return { + type: 'show_intermediate_model', + sessionId, + modelType, + model, + purpose, + displayMode, + timestamp: new Date().toISOString() + }; +} diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js new file mode 100644 index 00000000..c6145c4a --- /dev/null +++ b/agent/utilities/SessionManager.js @@ -0,0 +1,494 @@ +import { randomBytes } from 'crypto'; +import { tmpdir } from 'os'; +import { join } from 'path'; +import { existsSync, mkdirSync, readdirSync, unlinkSync, rmdirSync, statSync } from 'fs'; +import logger from '../../utilities/logger.js'; + +/** + * SessionManager + * Manages in-memory WebSocket sessions with session-specific temp folders + * + * Key Features: + * - Pure in-memory state (no persistence) + * - Session-specific temp folders for Python visualizations + * - Automatic cleanup on disconnect + * - Stale session cleanup + * - Orphaned temp directory cleanup + */ +export class SessionManager { + constructor(options = {}) { + this.sessions = new Map(); + this.tempBasePath = join(tmpdir(), 'sd-agent'); + + // Configuration + this.maxSessions = options.maxSessions || 1000; + this.maxConversationHistory = options.maxConversationHistory || 100; + this.maxSessionAge = options.maxSessionAge || 8 * 60 * 60 * 1000; // 8 hours + this.sessionTimeout = options.sessionTimeout || 30 * 60 * 1000; // 30 minutes + this.cleanupInterval = options.cleanupInterval || 5 * 60 * 1000; // 5 minutes + + // Ensure base temp directory exists + if (!existsSync(this.tempBasePath)) { + mkdirSync(this.tempBasePath, { recursive: true }); + } + + // Start cleanup timer + this.startCleanupTimer(); + + logger.log(`SessionManager initialized. Temp base: ${this.tempBasePath}`); + } + + /** + * Generate a unique session ID + */ + generateSessionId() { + return `sess_${randomBytes(16).toString('hex')}`; + } + + /** + * Create a new session + */ + createSession(ws) { + // Enforce max sessions + if (this.sessions.size >= this.maxSessions) { + throw new Error('Server at capacity. Please try again later.'); + } + + const sessionId = this.generateSessionId(); + const sessionTempDir = join(this.tempBasePath, sessionId); + + // Create session-specific temp folder + try { + mkdirSync(sessionTempDir, { recursive: true }); + } catch (err) { + logger.error(`Failed to create temp directory for session ${sessionId}:`, err); + throw new Error('Failed to initialize session temp directory'); + } + + const session = { + sessionId, + ws, + tempDir: sessionTempDir, + createdAt: Date.now(), + lastActivity: Date.now(), + + // Client-provided data + modelType: null, // 'cld' or 'sfd' - set once at initialization, never changes + clientModel: null, + registeredTools: [], + sessionConfig: null, + context: {}, + + // Active tool calls awaiting client response + pendingToolCalls: new Map(), + + // Agent conversation context (for Claude Agent SDK) + conversationContext: [], + + // Runtime configuration + runtimeDirectives: {}, + + // Usage metrics (anonymous) + messageCount: 0, + toolCallCount: 0 + }; + + this.sessions.set(sessionId, session); + + logger.log(`Session created: ${sessionId} (total: ${this.sessions.size})`); + + return sessionId; + } + + /** + * Get a session by ID + */ + getSession(sessionId) { + const session = this.sessions.get(sessionId); + if (session) { + session.lastActivity = Date.now(); + } + return session; + } + + /** + * Initialize a session with model, tools, and config + */ + initializeSession(sessionId, modelType, model, tools, sessionConfig, context) { + const session = this.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + // Validate model type + if (modelType !== 'cld' && modelType !== 'sfd') { + throw new Error(`Invalid modelType: ${modelType}. Must be 'cld' or 'sfd'`); + } + + // Set model type (can only be set once) + if (session.modelType && session.modelType !== modelType) { + throw new Error(`Cannot change model type from ${session.modelType} to ${modelType} during session`); + } + session.modelType = modelType; + + session.clientModel = model; + session.registeredTools = tools; + session.sessionConfig = sessionConfig; + session.context = context || {}; + + logger.log(`Session initialized: ${sessionId} with modelType=${modelType} and ${tools.length} client tools`); + } + + /** + * Update the client model reference + */ + updateClientModel(sessionId, model) { + const session = this.getSession(sessionId); + if (session) { + session.clientModel = model; + } + } + + /** + * Get the current client model + */ + getClientModel(sessionId) { + const session = this.getSession(sessionId); + return session?.clientModel; + } + + /** + * Get session temp directory + */ + getSessionTempDir(sessionId) { + const session = this.getSession(sessionId); + return session?.tempDir; + } + + /** + * Add to conversation context + */ + addToConversationHistory(sessionId, message) { + const session = this.getSession(sessionId); + if (session) { + session.conversationContext.push(message); + session.messageCount++; + + // Limit conversation history size to prevent memory bloat + if (session.conversationContext.length > this.maxConversationHistory) { + session.conversationContext = session.conversationContext.slice(-this.maxConversationHistory); + } + } + } + + /** + * Get conversation context + */ + getConversationContext(sessionId) { + const session = this.getSession(sessionId); + return session?.conversationContext || []; + } + + /** + * Add a pending tool call + */ + addPendingToolCall(sessionId, callId, toolName, args) { + const session = this.getSession(sessionId); + if (session) { + let resolver, rejecter; + const promise = new Promise((resolve, reject) => { + resolver = resolve; + rejecter = reject; + }); + + session.pendingToolCalls.set(callId, { + toolName, + arguments: args, + timestamp: Date.now(), + promise, + resolve: resolver, + reject: rejecter + }); + + session.toolCallCount++; + + return promise; + } + return Promise.reject(new Error('Session not found')); + } + + /** + * Resolve a pending tool call + */ + resolvePendingToolCall(sessionId, callId, result, isError = false) { + const session = this.getSession(sessionId); + if (session) { + const pendingCall = session.pendingToolCalls.get(callId); + if (pendingCall) { + if (isError) { + pendingCall.reject(new Error(result.error || 'Tool call failed')); + } else { + pendingCall.resolve(result); + } + session.pendingToolCalls.delete(callId); + return true; + } + } + return false; + } + + /** + * Get pending tool call + */ + getPendingToolCall(sessionId, callId) { + const session = this.getSession(sessionId); + return session?.pendingToolCalls.get(callId); + } + + /** + * Set runtime directives + */ + setRuntimeDirectives(sessionId, directives) { + const session = this.getSession(sessionId); + if (session) { + session.runtimeDirectives = directives; + } + } + + /** + * Get runtime directives + */ + getRuntimeDirectives(sessionId) { + const session = this.getSession(sessionId); + return session?.runtimeDirectives || {}; + } + + /** + * Delete a session and cleanup resources + */ + deleteSession(sessionId) { + const session = this.sessions.get(sessionId); + if (session) { + // Reject any pending tool calls + for (const [callId, pendingCall] of session.pendingToolCalls.entries()) { + pendingCall.reject(new Error('Session closed')); + } + session.pendingToolCalls.clear(); + + // Clean up session temp folder + this.cleanupSessionTempDir(session.tempDir); + + // Clean up references + session.ws = null; + session.clientModel = null; + session.conversationContext = []; + session.registeredTools = []; + + this.sessions.delete(sessionId); + + logger.log(`Session deleted: ${sessionId} (remaining: ${this.sessions.size})`); + } + } + + /** + * Clean up a session temp directory + */ + cleanupSessionTempDir(tempDir) { + try { + if (existsSync(tempDir)) { + // Remove all files in the directory + const files = readdirSync(tempDir); + for (const file of files) { + try { + unlinkSync(join(tempDir, file)); + } catch (err) { + logger.warn(`Failed to delete temp file ${file}:`, err.message); + } + } + + // Remove the directory itself + rmdirSync(tempDir); + logger.log(`Cleaned up temp directory: ${tempDir}`); + } + } catch (err) { + logger.error(`Failed to cleanup temp directory ${tempDir}:`, err); + } + } + + /** + * Start cleanup timer for stale sessions and orphaned temp dirs + */ + startCleanupTimer() { + this.cleanupTimer = setInterval(() => { + this.cleanupStaleSessions(); + this.cleanupOrphanedTempDirs(); + }, this.cleanupInterval); + } + + /** + * Clean up stale sessions + */ + cleanupStaleSessions() { + const now = Date.now(); + let cleanedCount = 0; + + for (const [sessionId, session] of this.sessions.entries()) { + const age = now - session.createdAt; + const inactivity = now - session.lastActivity; + + if (age > this.maxSessionAge || inactivity > this.sessionTimeout) { + logger.log(`Cleaning up stale session: ${sessionId} (age: ${Math.round(age/1000/60)}m, inactive: ${Math.round(inactivity/1000/60)}m)`); + + // Close WebSocket if still open + if (session.ws && session.ws.readyState === 1) { + session.ws.close(1000, 'Session timeout'); + } + + this.deleteSession(sessionId); + cleanedCount++; + } + } + + if (cleanedCount > 0) { + logger.log(`Cleaned up ${cleanedCount} stale session(s)`); + } + } + + /** + * Clean up orphaned temp directories + */ + cleanupOrphanedTempDirs() { + try { + if (!existsSync(this.tempBasePath)) { + return; + } + + const tempDirs = readdirSync(this.tempBasePath); + const activeSessionIds = new Set(this.sessions.keys()); + let cleanedCount = 0; + + for (const dir of tempDirs) { + // Check if this temp dir belongs to an active session + if (!activeSessionIds.has(dir)) { + const fullPath = join(this.tempBasePath, dir); + + // Additional safety check: only delete dirs that match session pattern + if (dir.startsWith('sess_')) { + this.cleanupSessionTempDir(fullPath); + cleanedCount++; + logger.log(`Cleaned up orphaned temp directory: ${dir}`); + } + } + } + + if (cleanedCount > 0) { + logger.log(`Cleaned up ${cleanedCount} orphaned temp director(ies)`); + } + } catch (err) { + logger.error('Failed to cleanup orphaned temp dirs:', err); + } + } + + /** + * Get temp directory sizes for monitoring + */ + getTempDirSizes() { + const sizes = []; + + for (const [sessionId, session] of this.sessions.entries()) { + const size = this.getDirectorySize(session.tempDir); + const fileCount = this.getFileCount(session.tempDir); + + sizes.push({ + sessionId, + tempDir: session.tempDir, + size, + fileCount, + age: Date.now() - session.createdAt, + lastActivity: Date.now() - session.lastActivity + }); + } + + return sizes; + } + + /** + * Get directory size in bytes + */ + getDirectorySize(dirPath) { + let totalSize = 0; + + try { + if (existsSync(dirPath)) { + const files = readdirSync(dirPath); + for (const file of files) { + const stats = statSync(join(dirPath, file)); + totalSize += stats.size; + } + } + } catch (err) { + // Directory doesn't exist or can't be read + } + + return totalSize; + } + + /** + * Get file count in directory + */ + getFileCount(dirPath) { + try { + if (existsSync(dirPath)) { + return readdirSync(dirPath).length; + } + } catch (err) { + // Directory doesn't exist or can't be read + } + return 0; + } + + /** + * Get stats (for monitoring endpoint) + */ + getStats() { + const totalMessages = Array.from(this.sessions.values()) + .reduce((sum, s) => sum + s.messageCount, 0); + const totalToolCalls = Array.from(this.sessions.values()) + .reduce((sum, s) => sum + s.toolCallCount, 0); + const totalPendingCalls = Array.from(this.sessions.values()) + .reduce((sum, s) => sum + s.pendingToolCalls.size, 0); + + return { + activeSessions: this.sessions.size, + totalMessages, + totalToolCalls, + totalPendingCalls, + tempDirInfo: this.getTempDirSizes() + }; + } + + /** + * Shutdown - cleanup all sessions + */ + shutdown() { + logger.log('SessionManager shutting down...'); + + // Stop cleanup timer + if (this.cleanupTimer) { + clearInterval(this.cleanupTimer); + } + + // Close all sessions + for (const [sessionId, session] of this.sessions.entries()) { + if (session.ws && session.ws.readyState === 1) { + session.ws.close(1000, 'Server shutting down'); + } + this.deleteSession(sessionId); + } + + // Final cleanup of any remaining temp directories + this.cleanupOrphanedTempDirs(); + + logger.log('SessionManager shutdown complete'); + } +} diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js new file mode 100644 index 00000000..bb5a9de1 --- /dev/null +++ b/agent/utilities/VisualizationEngine.js @@ -0,0 +1,737 @@ +import { randomBytes } from 'crypto'; +import { join } from 'path'; +import { writeFileSync, readFileSync, existsSync, unlinkSync } from 'fs'; +import { spawn } from 'child_process'; +import { LLMWrapper } from '../../utilities/LLMWrapper.js'; + +/** + * VisualizationEngine + * Creates visualizations using Plotly (default) or Python/matplotlib + * + * Key Features: + * - Plotly JSON specs (no temp files needed) + * - Python/matplotlib for advanced visualizations + * - Session-specific temp folder management + * - Automatic cleanup after visualization creation + */ +export class VisualizationEngine { + constructor(sessionManager, sessionId) { + this.sessionManager = sessionManager; + this.sessionId = sessionId; + this.sessionTempDir = sessionManager.getSessionTempDir(sessionId); + + if (!this.sessionTempDir) { + throw new Error(`Session not found: ${sessionId}`); + } + } + + /** + * Generate a unique visualization ID + */ + generateVizId() { + return `viz_${randomBytes(8).toString('hex')}`; + } + + /** + * Create visualization (delegates to Plotly, Python, or AI-custom) + */ + async createVisualization(type, data, variables, options = {}) { + const usePython = options.usePython || false; + const useAICustom = options.useAICustom || false; + + if (useAICustom) { + return await this.createAICustomVisualization(data, variables, options); + } else if (usePython) { + return await this.createVisualizationWithPython(type, data, variables, options); + } else { + return this.createPlotlyVisualization(type, data, variables, options); + } + } + + /** + * Create custom visualization using AI to write Python/matplotlib code + */ + async createAICustomVisualization(data, variables, options) { + const vizId = this.generateVizId(); + const scriptPath = join(this.sessionTempDir, `visualization-${vizId}.py`); + const dataPath = join(this.sessionTempDir, `data-${vizId}.json`); + const outputPath = join(this.sessionTempDir, `visualization-${vizId}.png`); + + let vizMessage = null; + let error = null; + + try { + // 1. Write data to temp file + writeFileSync(dataPath, JSON.stringify(data)); + + // 2. Generate Python script using AI + const pythonScript = await this.generateAIVisualizationScript( + dataPath, outputPath, data, variables, options + ); + writeFileSync(scriptPath, pythonScript); + + // 3. Execute Python script + await this.executePythonScript(scriptPath); + + // 4. Read generated image + const imageBuffer = readFileSync(outputPath); + const base64Image = imageBuffer.toString('base64'); + + // 5. Create visualization message + vizMessage = { + visualizationId: vizId, + title: options.title || 'Custom AI Visualization', + description: options.description, + format: 'image', + data: { + encoding: 'base64', + mimeType: 'image/png', + content: base64Image, + width: options.width || 800, + height: options.height || 600 + }, + metadata: { + createdBy: 'ai-custom', + variables: variables, + ...options.metadata + } + }; + + } catch (err) { + error = err; + console.error(`Failed to create AI custom visualization ${vizId}:`, err); + } finally { + // ALWAYS cleanup temp files + this.cleanupVisualizationFiles(vizId); + + if (error) { + throw error; + } + } + + return vizMessage; + } + + /** + * Use AI to generate custom Python visualization script + */ + async generateAIVisualizationScript(dataPath, outputPath, data, variables, options) { + const llm = new LLMWrapper(); + + // Prepare data description + const dataDescription = options.dataDescription || this.describeData(data, variables); + + // Prepare visualization requirements + const visualizationGoal = options.visualizationGoal || options.title || 'Visualize the data in an insightful way'; + + const systemPrompt = `You are an expert data visualization specialist using Python and matplotlib. +Generate Python code to create visualizations based on user requirements. + +Requirements: +- Use matplotlib with Agg backend (no display) +- Load data from JSON file +- Save figure to specified output path +- Create clear, professional visualizations +- Include appropriate labels, titles, legends +- Use good color schemes +- Handle edge cases gracefully`; + + const userPrompt = `Generate Python code to visualize this data: + +## Data Description +${dataDescription} + +## Data Structure +The data is available in JSON format at: ${dataPath} +Variables available: ${variables.join(', ')} +Time series data structure: {time: [...], ${variables.map(v => `'${v}': [...]`).join(', ')}} + +## Visualization Goal +${visualizationGoal} + +${options.customRequirements ? `\n## Additional Requirements\n${options.customRequirements}` : ''} + +## Output Requirements +- Save the figure to: ${outputPath} +- Figure size: ${(options.width || 800)/100} x ${(options.height || 600)/100} inches +- DPI: 100 +- Use matplotlib.use('Agg') backend +- Close figure after saving + +Generate ONLY the Python code, no explanations. The code should be complete and ready to execute.`; + + try { + const response = await llm.generateResponse({ + systemPrompt, + messages: [{ role: 'user', content: userPrompt }], + temperature: 0.3, + model: LLMWrapper.NON_BUILD_DEFAULT_MODEL + }); + + // Extract Python code from response + let pythonCode = response.trim(); + + // Remove markdown code blocks if present + if (pythonCode.startsWith('```python')) { + pythonCode = pythonCode.replace(/```python\n/, '').replace(/\n```$/, ''); + } else if (pythonCode.startsWith('```')) { + pythonCode = pythonCode.replace(/```\n/, '').replace(/\n```$/, ''); + } + + return pythonCode; + + } catch (err) { + console.error('Failed to generate AI visualization script:', err); + throw new Error(`AI visualization generation failed: ${err.message}`); + } + } + + /** + * Describe data for AI to understand + */ + describeData(data, variables) { + const lines = []; + + // Time series info + if (data.time) { + lines.push(`Time series data with ${data.time.length} time points`); + lines.push(`Time range: ${data.time[0]} to ${data.time[data.time.length - 1]}`); + } + + // Variables info + lines.push(`\nVariables (${variables.length}):`); + variables.forEach(varName => { + if (data[varName]) { + const values = data[varName]; + const min = Math.min(...values); + const max = Math.max(...values); + const avg = values.reduce((a, b) => a + b, 0) / values.length; + + lines.push(`- ${varName}: range [${min.toFixed(2)}, ${max.toFixed(2)}], avg ${avg.toFixed(2)}`); + + // Detect trends + const first = values[0]; + const last = values[values.length - 1]; + const change = ((last - first) / first * 100).toFixed(1); + lines.push(` Trend: ${change > 0 ? 'increasing' : 'decreasing'} by ${Math.abs(change)}%`); + } + }); + + // Feedback loops if present + if (data.feedbackLoops) { + lines.push(`\nFeedback loops: ${data.feedbackLoops.length} loops present`); + data.feedbackLoops.forEach(loop => { + lines.push(`- ${loop.name || 'Unnamed'} (${loop.polarity})`); + }); + } + + return lines.join('\n'); + } + + /** + * Create visualization using Python (matplotlib/plotly) + */ + async createVisualizationWithPython(type, data, variables, options) { + const vizId = this.generateVizId(); + const scriptPath = join(this.sessionTempDir, `visualization-${vizId}.py`); + const dataPath = join(this.sessionTempDir, `data-${vizId}.json`); + const outputPath = join(this.sessionTempDir, `visualization-${vizId}.png`); + + let vizMessage = null; + let error = null; + + try { + // 1. Write data to temp file + writeFileSync(dataPath, JSON.stringify(data)); + + // 2. Generate Python script + const pythonScript = this.generatePythonVisualizationScript( + type, dataPath, outputPath, variables, options + ); + writeFileSync(scriptPath, pythonScript); + + // 3. Execute Python script + await this.executePythonScript(scriptPath); + + // 4. Read generated image + const imageBuffer = readFileSync(outputPath); + const base64Image = imageBuffer.toString('base64'); + + // 5. Create visualization message + vizMessage = { + visualizationId: vizId, + title: options.title || `${type} Visualization`, + description: options.description, + format: 'image', + data: { + encoding: 'base64', + mimeType: 'image/png', + content: base64Image, + width: options.width || 800, + height: options.height || 600 + }, + metadata: { + createdBy: 'agent', + type: type, + variables: variables, + ...options.metadata + } + }; + + } catch (err) { + error = err; + console.error(`Failed to create Python visualization ${vizId}:`, err); + } finally { + // ALWAYS cleanup temp files + this.cleanupVisualizationFiles(vizId); + + if (error) { + throw error; + } + } + + return vizMessage; + } + + /** + * Cleanup visualization temp files + */ + cleanupVisualizationFiles(vizId) { + const filesToDelete = [ + join(this.sessionTempDir, `visualization-${vizId}.py`), + join(this.sessionTempDir, `data-${vizId}.json`), + join(this.sessionTempDir, `visualization-${vizId}.png`) + ]; + + for (const file of filesToDelete) { + try { + if (existsSync(file)) { + unlinkSync(file); + } + } catch (err) { + console.warn(`Failed to delete temp file ${file}:`, err.message); + } + } + } + + /** + * Generate Python script for visualization + */ + generatePythonVisualizationScript(type, dataPath, outputPath, variables, options) { + switch (type) { + case 'time_series': + return this.generateTimeSeriesScript(dataPath, outputPath, variables, options); + case 'phase_portrait': + return this.generatePhasePortraitScript(dataPath, outputPath, variables, options); + case 'feedback_dominance': + return this.generateFeedbackDominanceScript(dataPath, outputPath, options); + default: + throw new Error(`Unknown visualization type: ${type}`); + } + } + + /** + * Generate time series plot script + */ + generateTimeSeriesScript(dataPath, outputPath, variables, options) { + const highlightPeriodsCode = (options.highlightPeriods || []).map(period => ` +ax.axvspan(${period.start}, ${period.end}, alpha=0.2, color='${period.color || 'yellow'}', label='${period.label}') +`).join(''); + + return ` +import json +import matplotlib.pyplot as plt +import matplotlib +matplotlib.use('Agg') + +# Load data +with open('${dataPath}', 'r') as f: + data = json.load(f) + +# Create figure +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) + +# Plot each variable +${variables.map((v, idx) => ` +ax.plot(data['time'], data['${v}'], label='${v}', linewidth=2) +`).join('')} + +# Styling +ax.set_xlabel('Time (${options.timeUnits || 'units'})', fontsize=12) +ax.set_ylabel('Value', fontsize=12) +ax.set_title('${options.title || 'Time Series'}', fontsize=14, fontweight='bold') +ax.legend(loc='best') +ax.grid(True, alpha=0.3) + +# Highlight periods +${highlightPeriodsCode} + +plt.tight_layout() +plt.savefig('${outputPath}', dpi=100, bbox_inches='tight') +plt.close() +print('Visualization saved') +`.trim(); + } + + /** + * Generate phase portrait script + */ + generatePhasePortraitScript(dataPath, outputPath, variables, options) { + const [xVar, yVar] = variables; + return ` +import json +import matplotlib.pyplot as plt +import numpy as np +import matplotlib +matplotlib.use('Agg') + +with open('${dataPath}', 'r') as f: + data = json.load(f) + +fig, ax = plt.subplots(figsize=(8, 6), dpi=100) + +time = np.array(data['time']) +x = np.array(data['${xVar}']) +y = np.array(data['${yVar}']) + +scatter = ax.scatter(x, y, c=time, cmap='viridis', s=20, alpha=0.6) +ax.plot(x, y, 'k-', alpha=0.3, linewidth=0.5) + +ax.scatter(x[0], y[0], c='green', s=100, marker='o', label='Start', zorder=5) +ax.scatter(x[-1], y[-1], c='red', s=100, marker='s', label='End', zorder=5) + +ax.set_xlabel('${xVar}', fontsize=12) +ax.set_ylabel('${yVar}', fontsize=12) +ax.set_title('Phase Portrait: ${yVar} vs ${xVar}', fontsize=14, fontweight='bold') +ax.legend() +ax.grid(True, alpha=0.3) + +cbar = plt.colorbar(scatter, ax=ax) +cbar.set_label('Time', fontsize=10) + +plt.tight_layout() +plt.savefig('${outputPath}', dpi=100, bbox_inches='tight') +plt.close() +print('Visualization saved') +`.trim(); + } + + /** + * Generate feedback dominance script + */ + generateFeedbackDominanceScript(dataPath, outputPath, options) { + return ` +import json +import matplotlib.pyplot as plt +import numpy as np +import matplotlib +matplotlib.use('Agg') + +with open('${dataPath}', 'r') as f: + data = json.load(f) + +fig, ax = plt.subplots(figsize=(10, 6), dpi=100) + +loops = data['feedbackLoops'] +time = None +bottom = None + +for loop in loops: + loop_data = loop.get('Percent of Model Behavior Explained By Loop', []) + if not loop_data: + continue + + t = [p['time'] for p in loop_data] + values = [p['value'] for p in loop_data] + + if time is None: + time = t + bottom = np.zeros(len(time)) + + ax.fill_between(time, bottom, bottom + np.array(values), + label=loop.get('name', 'Unknown'), alpha=0.7) + bottom = bottom + np.array(values) + +if 'dominantLoopsByPeriod' in data: + for period in data['dominantLoopsByPeriod']: + ax.axvline(period['startTime'], color='red', linestyle='--', alpha=0.5) + mid_time = (period['startTime'] + period['endTime']) / 2 + ax.text(mid_time, 95, ', '.join(period['dominantLoops']), + ha='center', va='top', fontsize=9, + bbox=dict(boxstyle='round', facecolor='white', alpha=0.8)) + +ax.set_xlabel('Time', fontsize=12) +ax.set_ylabel('% of Behavior Explained', fontsize=12) +ax.set_title('Feedback Loop Dominance', fontsize=14, fontweight='bold') +ax.set_ylim(0, 100) +ax.legend(loc='upper left', bbox_to_anchor=(1, 1)) +ax.grid(True, alpha=0.3) + +plt.tight_layout() +plt.savefig('${outputPath}', dpi=100, bbox_inches='tight') +plt.close() +print('Visualization saved') +`.trim(); + } + + /** + * Execute Python script + */ + async executePythonScript(scriptPath) { + return new Promise((resolve, reject) => { + const python = spawn('python3', [scriptPath]); + + let stdout = ''; + let stderr = ''; + + python.stdout.on('data', (data) => { + stdout += data.toString(); + }); + + python.stderr.on('data', (data) => { + stderr += data.toString(); + }); + + python.on('close', (code) => { + if (code !== 0) { + reject(new Error(`Python script failed (code ${code}): ${stderr}`)); + } else { + resolve(stdout); + } + }); + + python.on('error', (err) => { + reject(new Error(`Failed to spawn Python: ${err.message}`)); + }); + }); + } + + /** + * Create Plotly visualization (no temp files needed) + */ + createPlotlyVisualization(type, data, variables, options) { + let plotlySpec; + + switch (type) { + case 'time_series': + plotlySpec = this.createTimeSeriesPlotly(data, variables, options); + break; + case 'phase_portrait': + plotlySpec = this.createPhasePortraitPlotly(data, variables, options); + break; + case 'feedback_dominance': + plotlySpec = this.createFeedbackDominancePlotly(data, options); + break; + case 'comparison': + plotlySpec = this.createComparisonPlotly(data, variables, options); + break; + default: + throw new Error(`Unknown visualization type: ${type}`); + } + + return { + visualizationId: this.generateVizId(), + title: options.title || `${type} Visualization`, + description: options.description, + format: 'plotly', + data: plotlySpec, + metadata: { + createdBy: 'agent', + type: type, + variables: variables, + ...options.metadata + } + }; + } + + /** + * Create time series Plotly spec + */ + createTimeSeriesPlotly(data, variables, options) { + const traces = variables.map((varName, idx) => ({ + x: data.time, + y: data[varName], + type: 'scatter', + mode: 'lines', + name: varName, + line: { + color: this.getColor(idx), + width: 2 + } + })); + + const shapes = (options.highlightPeriods || []).map(period => ({ + type: 'rect', + xref: 'x', + yref: 'paper', + x0: period.start, + x1: period.end, + y0: 0, + y1: 1, + fillcolor: period.color || 'yellow', + opacity: 0.2, + line: { width: 0 } + })); + + const annotations = (options.highlightPeriods || []).map(period => ({ + x: (period.start + period.end) / 2, + y: 1, + yref: 'paper', + text: period.label, + showarrow: false, + bgcolor: period.color || 'yellow', + opacity: 0.8 + })); + + return { + data: traces, + layout: { + title: options.title || 'Time Series', + xaxis: { title: `Time (${options.timeUnits || 'units'})` }, + yaxis: { title: 'Value' }, + showlegend: true, + hovermode: 'x unified', + shapes: shapes, + annotations: annotations + }, + config: { + responsive: true, + displayModeBar: true + } + }; + } + + /** + * Create phase portrait Plotly spec + */ + createPhasePortraitPlotly(data, variables, options) { + const [xVar, yVar] = variables; + + return { + data: [{ + x: data[xVar], + y: data[yVar], + type: 'scatter', + mode: 'lines+markers', + marker: { + size: 4, + color: data.time, + colorscale: 'Viridis', + showscale: true, + colorbar: { title: 'Time' } + }, + line: { width: 1 } + }], + layout: { + title: `Phase Portrait: ${yVar} vs ${xVar}`, + xaxis: { title: xVar }, + yaxis: { title: yVar }, + hovermode: 'closest' + }, + config: { + responsive: true, + displayModeBar: true + } + }; + } + + /** + * Create feedback dominance Plotly spec + */ + createFeedbackDominancePlotly(data, options) { + const loops = data.feedbackLoops || []; + + const traces = loops.map((loop, idx) => { + const loopData = loop['Percent of Model Behavior Explained By Loop'] || []; + return { + x: loopData.map(p => p.time), + y: loopData.map(p => p.value), + type: 'scatter', + mode: 'lines', + name: loop.name || `Loop ${idx + 1}`, + stackgroup: 'one', + fillcolor: this.getColor(idx) + }; + }); + + const shapes = (data.dominantLoopsByPeriod || []).map(period => ({ + type: 'line', + x0: period.startTime, + x1: period.startTime, + y0: 0, + y1: 100, + line: { color: 'red', width: 1, dash: 'dot' } + })); + + const annotations = (data.dominantLoopsByPeriod || []).map(period => ({ + x: (period.startTime + period.endTime) / 2, + y: 95, + text: `Dominant: ${period.dominantLoops.join(', ')}`, + showarrow: false, + bgcolor: 'white', + bordercolor: 'red' + })); + + return { + data: traces, + layout: { + title: 'Feedback Loop Dominance Over Time', + xaxis: { title: 'Time' }, + yaxis: { title: '% of Behavior Explained', range: [0, 100] }, + showlegend: true, + shapes: shapes, + annotations: annotations + }, + config: { + responsive: true, + displayModeBar: true + } + }; + } + + /** + * Create comparison Plotly spec + */ + createComparisonPlotly(data, variable, options) { + const runsData = data.runs || []; + + const traces = runsData.map((run, idx) => ({ + x: run.data.time, + y: run.data[variable], + type: 'scatter', + mode: 'lines', + name: run.label || run.runId, + line: { + color: this.getColor(idx), + width: 2, + dash: idx > 0 ? 'dash' : 'solid' + } + })); + + return { + data: traces, + layout: { + title: `Comparison: ${variable}`, + xaxis: { title: 'Time' }, + yaxis: { title: variable }, + showlegend: true, + hovermode: 'x unified' + }, + config: { + responsive: true, + displayModeBar: true + } + }; + } + + /** + * Color palette for consistent styling + */ + getColor(index) { + const colors = [ + '#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', + '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf' + ]; + return colors[index % colors.length]; + } +} diff --git a/agent/websocket.js b/agent/websocket.js new file mode 100644 index 00000000..74a56164 --- /dev/null +++ b/agent/websocket.js @@ -0,0 +1,241 @@ +import { AgentOrchestrator } from './AgentOrchestrator.js'; +import { + validateClientMessage, + createSessionCreatedMessage, + createSessionReadyMessage, + createErrorMessage +} from './utilities/MessageProtocol.js'; +import { join } from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; +import logger from '../utilities/logger.js'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +/** + * Handle WebSocket connection + * Sets up message handlers and manages agent lifecycle + */ +export function handleWebSocketConnection(ws, sessionManager) { + let sessionId = null; + let orchestrator = null; + + // Create session + try { + sessionId = sessionManager.createSession(ws); + + // Send session created message + const sessionCreatedMsg = createSessionCreatedMessage(sessionId); + ws.send(JSON.stringify(sessionCreatedMsg)); + + logger.log(`WebSocket connected: ${sessionId}`); + } catch (error) { + logger.error('Failed to create session:', error); + ws.close(1011, error.message); + return; + } + + // Helper to send messages to client + const sendToClient = async (message) => { + if (ws.readyState === 1) { // OPEN + ws.send(JSON.stringify(message)); + } + }; + + // Message handler + ws.on('message', async (data) => { + try { + // Parse message + const rawMessage = JSON.parse(data.toString()); + + // Validate message + const validation = validateClientMessage(rawMessage); + if (!validation.success) { + await sendToClient(createErrorMessage( + sessionId, + `Invalid message: ${validation.error}`, + 'INVALID_MESSAGE', + true + )); + return; + } + + const message = validation.data; + + // Handle different message types + switch (message.type) { + case 'initialize_session': + await handleInitializeSession(message); + break; + + case 'chat': + await handleChat(message); + break; + + case 'tool_call_response': + await handleToolCallResponse(message); + break; + + case 'model_updated_notification': + await handleModelUpdated(message); + break; + + case 'disconnect': + sessionManager.deleteSession(sessionId); + ws.close(1000, 'Client requested disconnect'); + break; + + default: + await sendToClient(createErrorMessage( + sessionId, + `Unknown message type: ${message.type}`, + 'UNKNOWN_MESSAGE_TYPE', + true + )); + } + } catch (error) { + logger.error(`Error handling message for session ${sessionId}:`, error); + await sendToClient(createErrorMessage( + sessionId, + error.message, + 'MESSAGE_PROCESSING_ERROR', + true + )); + } + }); + + // Handle initialize_session + async function handleInitializeSession(message) { + try { + // Validate model type + if (!message.modelType || !['cld', 'sfd'].includes(message.modelType)) { + throw new Error('Invalid or missing modelType. Must be "cld" or "sfd".'); + } + + // Initialize session with model type, model, tools, and config + sessionManager.initializeSession( + sessionId, + message.modelType, + message.model, + message.tools, + message.sessionConfig, + message.context + ); + + // Get agent ID from session config, default to myrddin + const agentId = message.sessionConfig?.agentId || 'myrddin'; + const configPath = join(__dirname, 'config', `${agentId}.yaml`); + + // Create agent orchestrator + orchestrator = new AgentOrchestrator( + sessionManager, + sessionId, + sendToClient, + configPath + ); + + // Initialize tools + orchestrator.initializeTools(message.tools); + + // Get capabilities + const capabilities = orchestrator.getAgentCapabilities(); + + // Send session ready + await sendToClient(createSessionReadyMessage(sessionId, capabilities)); + + logger.log(`Session initialized: ${sessionId}`); + } catch (error) { + logger.error(`Failed to initialize session ${sessionId}:`, error); + await sendToClient(createErrorMessage( + sessionId, + `Initialization failed: ${error.message}`, + 'INITIALIZATION_ERROR', + false + )); + } + } + + // Handle chat + async function handleChat(message) { + try { + if (!orchestrator) { + throw new Error('Session not initialized. Send initialize_session first.'); + } + + // Set runtime directives if present + if (message.directives) { + orchestrator.setRuntimeDirectives(message.directives); + } + + // Start conversation + const session = sessionManager.getSession(sessionId); + await orchestrator.startConversation( + message.message, + session.sessionConfig + ); + + } catch (error) { + logger.error(`Error in chat for session ${sessionId}:`, error); + await sendToClient(createErrorMessage( + sessionId, + error.message, + 'CHAT_ERROR', + true + )); + } + } + + // Handle tool_call_response + async function handleToolCallResponse(message) { + try { + // Resolve pending tool call + const resolved = sessionManager.resolvePendingToolCall( + sessionId, + message.callId, + message.result, + message.isError + ); + + if (!resolved) { + logger.warn(`Received response for unknown call ID: ${message.callId}`); + } + } catch (error) { + logger.error(`Error handling tool response for session ${sessionId}:`, error); + await sendToClient(createErrorMessage( + sessionId, + error.message, + 'TOOL_RESPONSE_ERROR', + true + )); + } + } + + // Handle model_updated_notification + async function handleModelUpdated(message) { + try { + // Update session with new model + sessionManager.updateClientModel(sessionId, message.model); + + logger.log(`Model updated for session ${sessionId}: ${message.changeReason}`); + } catch (error) { + logger.error(`Error updating model for session ${sessionId}:`, error); + } + } + + // Handle close + ws.on('close', (code, reason) => { + logger.log(`WebSocket closed: ${sessionId} (code: ${code}, reason: ${reason})`); + if (sessionId) { + sessionManager.deleteSession(sessionId); + } + }); + + // Handle error + ws.on('error', (error) => { + logger.error(`WebSocket error for session ${sessionId}:`, error); + if (sessionId) { + sessionManager.deleteSession(sessionId); + } + }); +} diff --git a/app.js b/app.js index 0b196e4b..fcfbb24c 100644 --- a/app.js +++ b/app.js @@ -2,6 +2,8 @@ import express from 'express' import config from './config.js' import cors from 'cors' import logger from './utilities/logger.js' +import { createServer } from 'http' +import { WebSocketServer } from 'ws' import v1Initialize from './routes/v1/initialize.js' import v1Engines from './routes/v1/engines.js' @@ -11,6 +13,9 @@ import v1EvalsList from './routes/v1/evalsList.js' import v1EvalsTestDetails from './routes/v1/evalsTestDetails.js' import v1Leaderboard from './routes/v1/leaderboard.js' +import { SessionManager } from './agent/utilities/SessionManager.js' +import { handleWebSocketConnection } from './agent/websocket.js' + const app = express() app.use(cors()) @@ -21,6 +26,9 @@ if (app.get('env') === 'production') { app.set('trust proxy', 1) // trust first proxy } +// Initialize Session Manager (before routes) +const sessionManager = new SessionManager(); + app.use("/api/v1/initialize", v1Initialize); app.use("/api/v1/engines", v1Engines); app.use("/api/v1/engines/", v1EngineParameters); //:engine/parameters @@ -29,6 +37,36 @@ app.use("/api/v1/evals", v1EvalsList); app.use("/api/v1/evals", v1EvalsTestDetails); app.use("/api/v1/leaderboard", v1Leaderboard); -app.listen(config.port, () => { +// Create HTTP server +const server = createServer(app); + +// Create WebSocket server +const wss = new WebSocketServer({ + server, + path: '/api/v1/agent' +}); + +wss.on('connection', (ws) => { + handleWebSocketConnection(ws, sessionManager); +}); + +// Graceful shutdown +process.on('SIGTERM', () => { + logger.log('SIGTERM received, shutting down gracefully...'); + wss.clients.forEach(ws => ws.close(1000, 'Server shutting down')); + sessionManager.shutdown(); + process.exit(0); +}); + +process.on('SIGINT', () => { + logger.log('SIGINT received, shutting down gracefully...'); + wss.clients.forEach(ws => ws.close(1000, 'Server shutting down')); + sessionManager.shutdown(); + process.exit(0); +}); + +// Start server +server.listen(config.port, () => { logger.log(`ai-proxy-service listening on port ${config.port}`); + logger.log(`WebSocket server available at ws://localhost:${config.port}/api/v1/agent`); }); diff --git a/package-lock.json b/package-lock.json index 386d9dce..b4151e98 100644 --- a/package-lock.json +++ b/package-lock.json @@ -16,15 +16,16 @@ "data-forge": "^1.10.2", "express": "^4.21.2", "js-tiktoken": "^1.0.19", + "js-yaml": "^4.1.0", "limiter": "^3.0.0", "marked": "^15.0.12", "openai": "^4.73.1", "prompts": "^2.4.2", + "ws": "^8.18.0", "yargs": "^17.7.2", "zod": "^3.24.1" }, "devDependencies": { - "cross-env": "^10.1.0", "dotenv": "^16.4.7", "jest": "^30.0.4", "nodemon": "^3.1.7", @@ -627,13 +628,6 @@ "tslib": "^2.4.0" } }, - "node_modules/@epic-web/invariant": { - "version": "1.0.0", - "resolved": "https://registry.npmjs.org/@epic-web/invariant/-/invariant-1.0.0.tgz", - "integrity": "sha512-lrTPqgvfFQtR/eY/qkIzp98OGdNJu0m5ji3q/nJI8v3SXkRKEnWiOxMmbvcSoAIzv/cGiuvRy57k4suKQSAdwA==", - "dev": true, - "license": "MIT" - }, "node_modules/@google/genai": { "version": "1.41.0", "resolved": "https://registry.npmjs.org/@google/genai/-/genai-1.41.0.tgz", @@ -689,6 +683,30 @@ "node": ">=8" } }, + "node_modules/@istanbuljs/load-nyc-config/node_modules/argparse": { + "version": "1.0.10", + "resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz", + "integrity": "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==", + "dev": true, + "license": "MIT", + "dependencies": { + "sprintf-js": "~1.0.2" + } + }, + "node_modules/@istanbuljs/load-nyc-config/node_modules/js-yaml": { + "version": "3.14.2", + "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.14.2.tgz", + "integrity": "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg==", + "dev": true, + "license": "MIT", + "dependencies": { + "argparse": "^1.0.7", + "esprima": "^4.0.0" + }, + "bin": { + "js-yaml": "bin/js-yaml.js" + } + }, "node_modules/@istanbuljs/schema": { "version": "0.1.3", "resolved": "https://registry.npmjs.org/@istanbuljs/schema/-/schema-0.1.3.tgz", @@ -1977,13 +1995,10 @@ } }, "node_modules/argparse": { - "version": "1.0.10", - "resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz", - "integrity": "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==", - "dev": true, - "dependencies": { - "sprintf-js": "~1.0.2" - } + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz", + "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==", + "license": "Python-2.0" }, "node_modules/array-flatten": { "version": "1.1.1", @@ -2798,24 +2813,6 @@ "node": ">= 0.10" } }, - "node_modules/cross-env": { - "version": "10.1.0", - "resolved": "https://registry.npmjs.org/cross-env/-/cross-env-10.1.0.tgz", - "integrity": "sha512-GsYosgnACZTADcmEyJctkJIoqAhHjttw7RsFrVoJNXbsWWqaq6Ym+7kZjq6mS45O0jij6vtiReppKQEtqWy6Dw==", - "dev": true, - "license": "MIT", - "dependencies": { - "@epic-web/invariant": "^1.0.0", - "cross-spawn": "^7.0.6" - }, - "bin": { - "cross-env": "dist/bin/cross-env.js", - "cross-env-shell": "dist/bin/cross-env-shell.js" - }, - "engines": { - "node": ">=20" - } - }, "node_modules/cross-spawn": { "version": "7.0.6", "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz", @@ -3121,6 +3118,7 @@ "resolved": "https://registry.npmjs.org/esprima/-/esprima-4.0.1.tgz", "integrity": "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A==", "dev": true, + "license": "BSD-2-Clause", "bin": { "esparse": "bin/esparse.js", "esvalidate": "bin/esvalidate.js" @@ -5450,14 +5448,12 @@ "dev": true }, "node_modules/js-yaml": { - "version": "3.14.2", - "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.14.2.tgz", - "integrity": "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg==", - "dev": true, + "version": "4.1.1", + "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.1.tgz", + "integrity": "sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==", "license": "MIT", "dependencies": { - "argparse": "^1.0.7", - "esprima": "^4.0.0" + "argparse": "^2.0.1" }, "bin": { "js-yaml": "bin/js-yaml.js" @@ -6664,7 +6660,8 @@ "version": "1.0.3", "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz", "integrity": "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g==", - "dev": true + "dev": true, + "license": "BSD-3-Clause" }, "node_modules/stack-utils": { "version": "2.0.6", diff --git a/package.json b/package.json index fa0635ec..64330858 100644 --- a/package.json +++ b/package.json @@ -10,10 +10,12 @@ "data-forge": "^1.10.2", "express": "^4.21.2", "js-tiktoken": "^1.0.19", + "js-yaml": "^4.1.0", "limiter": "^3.0.0", "marked": "^15.0.12", "openai": "^4.73.1", "prompts": "^2.4.2", + "ws": "^8.18.0", "yargs": "^17.7.2", "zod": "^3.24.1" }, diff --git a/tests/agent/ConfigManager.test.js b/tests/agent/ConfigManager.test.js new file mode 100644 index 00000000..f9e6ee51 --- /dev/null +++ b/tests/agent/ConfigManager.test.js @@ -0,0 +1,105 @@ +import { ConfigManager } from '../../agent/utilities/ConfigManager.js'; +import path from 'path'; +import { fileURLToPath } from 'url'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +describe('ConfigManager', () => { + let configManager; + + beforeEach(() => { + const configPath = path.join(__dirname, '../../agent/config/ganos-lal.yaml'); + configManager = new ConfigManager(configPath); + }); + + describe('constructor', () => { + it('should load config from YAML file', () => { + expect(configManager.config).toBeDefined(); + expect(configManager.config.agent).toBeDefined(); + expect(configManager.config.agent.name).toBe('Ganos Lal'); + }); + + it('should throw error for non-existent config file', () => { + expect(() => { + new ConfigManager('/non/existent/path.yaml'); + }).toThrow(); + }); + }); + + describe('buildSystemPrompt', () => { + it('should build system prompt with model type context', () => { + const sessionConfig = {}; + const runtimeDirectives = ''; + const modelType = 'cld'; + + const prompt = configManager.buildSystemPrompt(sessionConfig, runtimeDirectives, modelType); + + expect(prompt).toContain('Ganos Lal'); + expect(prompt).toContain('CLD'); + expect(prompt).toContain('Causal Loop Diagram'); + }); + + it('should include SFD context when model type is sfd', () => { + const prompt = configManager.buildSystemPrompt({}, '', 'sfd'); + + expect(prompt).toContain('SFD'); + expect(prompt).toContain('Stock Flow Diagram'); + }); + + it('should include runtime directives when provided', () => { + const directives = { temporaryInstructions: ['Use metric units only'] }; + const prompt = configManager.buildSystemPrompt({}, directives, 'cld'); + + expect(prompt).toContain('Use metric units only'); + }); + + it('should include instructions from config', () => { + const prompt = configManager.buildSystemPrompt({}, '', 'cld'); + + expect(prompt).toContain('patient'); + expect(prompt).toContain('mentor'); + }); + + it('should include tool policies from config', () => { + const prompt = configManager.buildSystemPrompt({}, '', 'cld'); + + expect(prompt).toContain('discuss_with_mentor'); + }); + }); + + describe('agent configurations', () => { + it('should load Myrddin config correctly', () => { + const configPath = path.join(__dirname, '../../agent/config/myrddin.yaml'); + const myrddinConfig = new ConfigManager(configPath); + + expect(myrddinConfig.config.agent.name).toBe('Myrddin'); + expect(myrddinConfig.config.agent.description).toContain('Expert Modeler'); + }); + + it('should have different constraints for different agents', () => { + const ganosConfig = configManager; + const myrConfig = new ConfigManager(path.join(__dirname, '../../agent/config/myrddin.yaml')); + + const ganosPrompt = ganosConfig.buildSystemPrompt({}, {}, 'sfd'); + const myrPrompt = myrConfig.buildSystemPrompt({}, {}, 'sfd'); + + // Ganos is patient mentor + expect(ganosPrompt).toContain('Ganos Lal'); + expect(ganosPrompt).toContain('patient'); + + // Myrddin is expert modeler + expect(myrPrompt).toContain('Myrddin'); + expect(myrPrompt).toContain('efficient'); + }); + }); + + describe('model type enforcement', () => { + it('should include model type rules in system prompt', () => { + const prompt = configManager.buildSystemPrompt({}, '', 'cld'); + + expect(prompt).toContain('CRITICAL MODEL TYPE RULES'); + expect(prompt).toContain('CANNOT be changed'); + }); + }); +}); diff --git a/tests/agent/MessageProtocol.test.js b/tests/agent/MessageProtocol.test.js new file mode 100644 index 00000000..ee94ebe7 --- /dev/null +++ b/tests/agent/MessageProtocol.test.js @@ -0,0 +1,202 @@ +import { + SDModelSchema, + InitializeSessionMessageSchema, + ChatMessageSchema, + ModelUpdatedNotificationSchema, + createAgentTextMessage, + createToolCallInitiatedMessage, + createToolCallCompletedMessage, + createAgentCompleteMessage, + createErrorMessage, + createSessionReadyMessage +} from '../../agent/utilities/MessageProtocol.js'; + +describe('MessageProtocol', () => { + describe('SDModelSchema', () => { + it('should validate valid CLD model', () => { + const model = { + variables: [{ name: 'Population', type: 'variable' }], + relationships: [{ from: 'Population', to: 'Births', polarity: '+' }] + }; + + const result = SDModelSchema.safeParse(model); + expect(result.success).toBe(true); + }); + + it('should validate valid SFD model', () => { + const model = { + variables: [ + { name: 'Stock1', type: 'stock', equation: '100' }, + { name: 'Flow1', type: 'flow', equation: '5' } + ] + }; + + const result = SDModelSchema.safeParse(model); + expect(result.success).toBe(true); + }); + + it('should accept additional properties with passthrough', () => { + const model = { + variables: [], + customField: 'custom value', + anotherField: 123 + }; + + const result = SDModelSchema.safeParse(model); + expect(result.success).toBe(true); + expect(result.data.customField).toBe('custom value'); + }); + }); + + describe('InitializeSessionMessageSchema', () => { + it('should validate valid initialization message', () => { + const message = { + type: 'initialize_session', + sessionId: 'test-123', + modelType: 'cld', + model: { variables: [] }, + tools: [] + }; + + const result = InitializeSessionMessageSchema.safeParse(message); + expect(result.success).toBe(true); + }); + + it('should require modelType to be cld or sfd', () => { + const message = { + type: 'initialize_session', + sessionId: 'test-123', + modelType: 'invalid', + model: {}, + tools: [] + }; + + const result = InitializeSessionMessageSchema.safeParse(message); + expect(result.success).toBe(false); + }); + + it('should allow optional sessionConfig and context', () => { + const message = { + type: 'initialize_session', + sessionId: 'test-123', + modelType: 'sfd', + model: {}, + tools: [], + sessionConfig: { + agentInstructions: { + role: 'expert' + } + }, + context: { description: 'This is test context' } + }; + + const result = InitializeSessionMessageSchema.safeParse(message); + expect(result.success).toBe(true); + }); + }); + + describe('ChatMessageSchema', () => { + it('should validate valid chat message', () => { + const message = { + type: 'chat', + sessionId: 'test-123', + message: 'Build me a population model' + }; + + const result = ChatMessageSchema.safeParse(message); + expect(result.success).toBe(true); + }); + + it('should require message field', () => { + const message = { + type: 'chat', + sessionId: 'test-123' + }; + + const result = ChatMessageSchema.safeParse(message); + expect(result.success).toBe(false); + }); + }); + + describe('ModelUpdatedNotificationSchema', () => { + it('should validate model update notification', () => { + const message = { + type: 'model_updated_notification', + sessionId: 'test-123', + model: { variables: [{ name: 'X' }] }, + changeReason: 'User requested change' + }; + + const result = ModelUpdatedNotificationSchema.safeParse(message); + expect(result.success).toBe(true); + }); + }); + + describe('message creation helpers', () => { + it('should create agent text message', () => { + const message = createAgentTextMessage('session-1', 'Hello user', false); + + expect(message.type).toBe('agent_text'); + expect(message.sessionId).toBe('session-1'); + expect(message.content).toBe('Hello user'); + expect(message.isThinking).toBe(false); + }); + + it('should create tool call initiated message', () => { + const message = createToolCallInitiatedMessage( + 'session-1', + 'call-123', + 'generate_quantitative_model', + { prompt: 'Build model' }, + true + ); + + expect(message.type).toBe('tool_call_initiated'); + expect(message.callId).toBe('call-123'); + expect(message.toolName).toBe('generate_quantitative_model'); + expect(message.isBuiltIn).toBe(true); + }); + + it('should create tool call completed message', () => { + const message = createToolCallCompletedMessage( + 'session-1', + 'call-123', + 'generate_quantitative_model', + { model: {} }, + false + ); + + expect(message.type).toBe('tool_call_completed'); + expect(message.callId).toBe('call-123'); + expect(message.isError).toBe(false); + }); + + it('should create agent complete message', () => { + const message = createAgentCompleteMessage('session-1', 'success', 'Done'); + + expect(message.type).toBe('agent_complete'); + expect(message.status).toBe('success'); + expect(message.finalMessage).toBe('Done'); + }); + + it('should create error message', () => { + const message = createErrorMessage('session-1', 'Something went wrong', 'GENERIC', true); + + expect(message.type).toBe('error'); + expect(message.error).toBe('Something went wrong'); + expect(message.errorCode).toBe('GENERIC'); + expect(message.recoverable).toBe(true); + }); + + it('should create session ready message', () => { + const message = createSessionReadyMessage('session-1', { + builtInTools: ['generate_quantitative_model'], + clientTools: ['get_current_model'] + }); + + expect(message.type).toBe('session_ready'); + expect(message.agentCapabilities.builtInTools).toHaveLength(1); + expect(message.agentCapabilities.clientTools).toHaveLength(1); + }); + }); +}); diff --git a/tests/agent/SessionManager.test.js b/tests/agent/SessionManager.test.js new file mode 100644 index 00000000..897bb389 --- /dev/null +++ b/tests/agent/SessionManager.test.js @@ -0,0 +1,217 @@ +import { SessionManager } from '../../agent/utilities/SessionManager.js'; +import { jest } from '@jest/globals'; +import fs from 'fs'; +import path from 'path'; + +describe('SessionManager', () => { + let sessionManager; + + beforeEach(() => { + sessionManager = new SessionManager(); + }); + + afterEach(() => { + sessionManager.shutdown(); + }); + + describe('initializeSession', () => { + it('should create a new session with CLD model type', () => { + const modelType = 'cld'; + const model = { variables: [], relationships: [] }; + const tools = []; + const sessionConfig = {}; + const context = 'Test context'; + + const sessionId = sessionManager.createSession(null); // null WebSocket for testing + sessionManager.initializeSession(sessionId, modelType, model, tools, sessionConfig, context); + + const session = sessionManager.getSession(sessionId); + expect(session).toBeDefined(); + expect(session.modelType).toBe('cld'); + expect(session.clientModel).toEqual(model); + expect(session.context).toBe(context); + expect(session.conversationContext).toEqual([]); + }); + + it('should create a new session with SFD model type', () => { + const modelType = 'sfd'; + const model = { variables: [] }; + + const sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, modelType, model, [], {}, ''); + + const session = sessionManager.getSession(sessionId); + expect(session.modelType).toBe('sfd'); + }); + + it('should create temp folder for session', () => { + const sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + const session = sessionManager.getSession(sessionId); + expect(session.tempDir).toBeDefined(); + expect(fs.existsSync(session.tempDir)).toBe(true); + }); + + it('should throw error for invalid model type', () => { + const sessionId = sessionManager.createSession(null); + expect(() => { + sessionManager.initializeSession(sessionId, 'invalid', {}, [], {}, ''); + }).toThrow(); + }); + }); + + describe('getSession', () => { + it('should return session if exists', () => { + const sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + const session = sessionManager.getSession(sessionId); + expect(session).toBeDefined(); + expect(session.modelType).toBe('cld'); + }); + + it('should return undefined for non-existent session', () => { + const session = sessionManager.getSession('non-existent'); + expect(session).toBeUndefined(); + }); + }); + + describe('updateClientModel', () => { + it('should update the client model', () => { + const sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'sfd', {}, [], {}, ''); + + const newModel = { variables: [{ name: 'Stock1', type: 'stock' }] }; + sessionManager.updateClientModel(sessionId, newModel); + + const session = sessionManager.getSession(sessionId); + expect(session.clientModel).toEqual(newModel); + }); + + it('should not throw error for non-existent session', () => { + expect(() => { + sessionManager.updateClientModel('non-existent', {}); + }).not.toThrow(); + }); + }); + + describe('conversation history', () => { + let testSessionId; + + beforeEach(() => { + testSessionId = sessionManager.createSession(null); + sessionManager.initializeSession(testSessionId, 'cld', {}, [], {}, ''); + }); + + it('should add messages to conversation history', () => { + sessionManager.addToConversationHistory(testSessionId, { + role: 'user', + content: 'Hello' + }); + + const history = sessionManager.getConversationContext(testSessionId); + expect(history).toHaveLength(1); + expect(history[0].role).toBe('user'); + expect(history[0].content).toBe('Hello'); + }); + + it('should maintain conversation order', () => { + sessionManager.addToConversationHistory(testSessionId, { + role: 'user', + content: 'First' + }); + sessionManager.addToConversationHistory(testSessionId, { + role: 'assistant', + content: 'Second' + }); + + const history = sessionManager.getConversationContext(testSessionId); + expect(history).toHaveLength(2); + expect(history[0].content).toBe('First'); + expect(history[1].content).toBe('Second'); + }); + }); + + describe('runtime directives', () => { + let testSessionId; + + beforeEach(() => { + testSessionId = sessionManager.createSession(null); + sessionManager.initializeSession(testSessionId, 'sfd', {}, [], {}, ''); + }); + + it('should set and get runtime directives', () => { + const directives = 'Use metric units'; + sessionManager.setRuntimeDirectives(testSessionId, directives); + + const retrieved = sessionManager.getRuntimeDirectives(testSessionId); + expect(retrieved).toBe(directives); + }); + + it('should return empty object if no directives set', () => { + const retrieved = sessionManager.getRuntimeDirectives(testSessionId); + expect(retrieved).toEqual({}); + }); + }); + + describe('deleteSession', () => { + it('should remove session and clean up temp folder', () => { + const sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + const session = sessionManager.getSession(sessionId); + const tempFolder = session.tempDir; + expect(fs.existsSync(tempFolder)).toBe(true); + + sessionManager.deleteSession(sessionId); + + expect(sessionManager.getSession(sessionId)).toBeUndefined(); + expect(fs.existsSync(tempFolder)).toBe(false); + }); + + it('should not throw error for non-existent session', () => { + expect(() => { + sessionManager.deleteSession('non-existent'); + }).not.toThrow(); + }); + }); + + describe('shutdown', () => { + it('should clean up all sessions', () => { + const sessionId1 = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId1, 'cld', {}, [], {}, ''); + + const sessionId2 = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId2, 'sfd', {}, [], {}, ''); + + const session1 = sessionManager.getSession(sessionId1); + const session2 = sessionManager.getSession(sessionId2); + const temp1 = session1.tempDir; + const temp2 = session2.tempDir; + + sessionManager.shutdown(); + + expect(sessionManager.getSession(sessionId1)).toBeUndefined(); + expect(sessionManager.getSession(sessionId2)).toBeUndefined(); + expect(fs.existsSync(temp1)).toBe(false); + expect(fs.existsSync(temp2)).toBe(false); + }); + }); + + describe('getSessionTempDir', () => { + it('should return temp folder path for session', () => { + const sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + const tempFolder = sessionManager.getSessionTempDir(sessionId); + expect(tempFolder).toBeDefined(); + expect(fs.existsSync(tempFolder)).toBe(true); + }); + + it('should return undefined for non-existent session', () => { + const tempFolder = sessionManager.getSessionTempDir('non-existent'); + expect(tempFolder).toBeUndefined(); + }); + }); +}); From da622bfa82ec2a73b8a53f1b47ee12bd385e6bd3 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 15 Apr 2026 22:20:44 -0400 Subject: [PATCH 002/226] start getting agent logic to work better --- agent/AgentOrchestrator.js | 104 +++------- agent/README.md | 9 +- agent/config/ganos-lal.yaml | 59 ++---- agent/config/myrddin.yaml | 53 ++--- agent/test-client.html | 170 ++++++++++++---- agent/tools/BuiltInTools.js | 188 +++++++++++++++++- agent/tools/DynamicToolServer.js | 86 ++------ ...anager.js => AgentConfigurationManager.js} | 147 +++++++++----- agent/websocket.js | 20 +- engines/seldon-experimental/engine.js | 8 +- engines/seldon-ile-user/SeldonILEUserBrain.js | 5 +- engines/seldon-ile-user/engine.js | 4 +- engines/seldon-mentor/engine.js | 4 +- engines/seldon/SeldonBrain.js | 5 +- engines/seldon/engine.js | 8 +- ...t.js => AgentConfigurationManager.test.js} | 12 +- utilities/StructuredOutputToZodConverter.js | 123 ++++++++++++ utilities/ZodToStructuredOutputConverter.js | 6 + 18 files changed, 666 insertions(+), 345 deletions(-) rename agent/utilities/{ConfigManager.js => AgentConfigurationManager.js} (57%) rename tests/agent/{ConfigManager.test.js => AgentConfigurationManager.test.js} (87%) create mode 100644 utilities/StructuredOutputToZodConverter.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 2f5fd741..839fb266 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -1,6 +1,6 @@ import Anthropic from '@anthropic-ai/sdk'; import { marked } from 'marked'; -import { ConfigManager } from './utilities/ConfigManager.js'; +import { AgentConfigurationManager } from './utilities/AgentConfigurationManager.js'; import { createBuiltInToolsServer, getBuiltInToolNames } from './tools/BuiltInTools.js'; import { DynamicToolServer } from './tools/DynamicToolServer.js'; import { @@ -10,6 +10,7 @@ import { createAgentCompleteMessage, createErrorMessage } from './utilities/MessageProtocol.js'; +import { ZodToStructuredOutputConverter } from '../utilities/ZodToStructuredOutputConverter.js'; import logger from '../utilities/logger.js'; /** @@ -31,7 +32,7 @@ export class AgentOrchestrator { this.sendToClient = sendToClient; // Load configuration - this.configManager = new ConfigManager(configPath); + this.configManager = new AgentConfigurationManager(configPath); // Create dynamic tool server this.dynamicToolServer = new DynamicToolServer(sessionManager, sessionId, sendToClient); @@ -41,6 +42,9 @@ export class AgentOrchestrator { apiKey: process.env.ANTHROPIC_API_KEY }); + // Initialize schema converter + this.schemaConverter = new ZodToStructuredOutputConverter(); + logger.log(`AgentOrchestrator initialized for session ${sessionId}`); } @@ -129,7 +133,7 @@ export class AgentOrchestrator { try { // Call Claude API const response = await this.anthropic.messages.create({ - model: 'claude-sonnet-4-20250514', + model: 'claude-sonnet-4-6', max_tokens: 8192, system: systemPrompt, messages: messages, @@ -310,23 +314,36 @@ export class AgentOrchestrator { */ convertToolsToAnthropicFormat(builtInTools, dynamicTools) { const tools = []; + const toolNames = new Set(); // Convert built-in tools for (const [toolName, toolDef] of Object.entries(builtInTools.tools)) { + if (toolNames.has(toolName)) { + logger.warn(`Duplicate tool name detected: ${toolName} (from built-in tools)`); + continue; + } + toolNames.add(toolName); + tools.push({ name: toolName, description: toolDef.description, - input_schema: this.zodToJsonSchema(toolDef.inputSchema) + input_schema: this.schemaConverter.convert(toolDef.inputSchema) }); } - // Convert dynamic tools + // Convert dynamic tools (client tools) if (dynamicTools && dynamicTools.tools) { for (const [toolName, toolDef] of Object.entries(dynamicTools.tools)) { + if (toolNames.has(toolName)) { + logger.warn(`Duplicate tool name detected: ${toolName} (from client tools) - skipping client version, using built-in`); + continue; + } + toolNames.add(toolName); + tools.push({ name: toolName, description: toolDef.description, - input_schema: this.zodToJsonSchema(toolDef.inputSchema) + input_schema: this.schemaConverter.convert(toolDef.inputSchema) }); } } @@ -334,81 +351,6 @@ export class AgentOrchestrator { return tools; } - /** - * Convert Zod schema to JSON schema for Anthropic - */ - zodToJsonSchema(zodSchema) { - // Simple conversion - in production, use a library like zod-to-json-schema - // For now, we'll use a basic approach - if (zodSchema._def && zodSchema._def.typeName === 'ZodObject') { - const properties = {}; - const required = []; - const shape = zodSchema._def.shape(); - - for (const [key, value] of Object.entries(shape)) { - properties[key] = this.zodTypeToJsonSchema(value); - if (!value.isOptional()) { - required.push(key); - } - } - - return { - type: 'object', - properties, - required: required.length > 0 ? required : undefined - }; - } - - return { type: 'object' }; - } - - //TODO: try to remove this since its duplicate with the ZodToStructuredOutputConverter.js - /** - * Convert individual Zod type to JSON schema type - */ - zodTypeToJsonSchema(zodType) { - const typeName = zodType._def?.typeName; - - switch (typeName) { - case 'ZodString': - return { - type: 'string', - description: zodType._def.description - }; - case 'ZodNumber': - return { - type: 'number', - description: zodType._def.description - }; - case 'ZodBoolean': - return { - type: 'boolean', - description: zodType._def.description - }; - case 'ZodArray': - return { - type: 'array', - items: this.zodTypeToJsonSchema(zodType._def.type), - description: zodType._def.description - }; - case 'ZodObject': - return this.zodToJsonSchema(zodType); - case 'ZodEnum': - return { - type: 'string', - enum: zodType._def.values, - description: zodType._def.description - }; - case 'ZodOptional': - return this.zodTypeToJsonSchema(zodType._def.innerType); - default: - return { - type: 'string', - description: zodType._def?.description - }; - } - } - /** * Check if a tool is a built-in tool */ diff --git a/agent/README.md b/agent/README.md index 16908920..50aa5ce1 100644 --- a/agent/README.md +++ b/agent/README.md @@ -94,8 +94,8 @@ Returns active session statistics, memory usage, and temp folder info. "inputSchema": {...} }, { - "name": "get_feedback_loop_analysis", - "description": "Analyzes feedback loop dominance", + "name": "generate_ltm_narrative", + "description": "Generates LTM narrative with feedback loop analysis", "inputSchema": {...} }, { @@ -247,15 +247,16 @@ Retrieves time series data from an existing run. } ``` -### 3. get_feedback_loop_analysis +### 3. generate_ltm_narrative -Analyzes feedback loop dominance for a run. +Generates LTM narrative with feedback loop analysis for a run. **Input:** `{ runId: string }` **Output:** ```json { + "narrative": "...", "feedbackLoops": [...], "dominantLoopsByPeriod": [...] } diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml index 49c772c3..e08bc830 100644 --- a/agent/config/ganos-lal.yaml +++ b/agent/config/ganos-lal.yaml @@ -9,11 +9,6 @@ agent: Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. CRITICAL MODEL TYPE RULES: - - If working on an SFD and you need to conceptualize with a CLD first: - 1. Generate the CLD using generate_qualitative_model - 2. Send it to the client with show_intermediate_model message (displayMode: 'separate_window') - 3. Ask the client to review it in a separate window - 4. Then generate the SFD based on the CLD insights - The main model being built must always match the session's modelType IMPORTANT RULES: @@ -116,13 +111,13 @@ agent: behavior_validation: | CRITICAL: Always verify models produce the right behavior for the right reasons: - 1. After EVERY simulation, use get_feedback_loop_analysis - 2. Then use generate_ltm_narrative to understand loop influence - 3. Then use discuss_model_with_seldon to verify causal interpretation - 4. Ask user questions about WHY the behavior occurred - 5. Help user understand which loops are dominant and when - 6. Ensure user can explain behavior in terms of feedback structure - 7. Test if user understands the causal mechanisms, not just the patterns + 1. After simulations, use discuss_with_seldon to understand WHY behavior occurred + 2. Use generate_ltm_narrative when deeper loop analysis would help explain behavior + 3. Ask user questions about causal mechanisms driving the behavior + 4. Help user understand which loops are dominant and when + 5. Ensure user can explain behavior in terms of feedback structure + 6. Test if user understands the causal mechanisms, not just the patterns + 7. Focus on teaching users to think in terms of feedback loops and causal relationships action_sequence: on_new_model_request: @@ -139,9 +134,6 @@ agent: description: "Help user think through causal relationships and feedback loops" tools: ["discuss_with_mentor"] - - step: "choose_diagram_type" - description: "Recommend CLD for conceptual exploration, SFD for basic quantitative learning" - - step: "generate_model" tools: ["generate_qualitative_model", "generate_quantitative_model"] parameters: @@ -159,7 +151,6 @@ agent: - step: "get_user_opinion" description: "Ask user what they think of the model before proceeding" - tools: ["discuss_with_mentor"] always_execute: true - step: "encourage_simple_testing" @@ -199,18 +190,13 @@ agent: parameters: type: "time_series" - - step: "analyze_feedback_loops" - description: "CRITICAL: Get feedback loop analysis to understand causal structure" - tools: ["get_feedback_loop_analysis"] - always_execute: true - - - step: "generate_loop_narrative" - description: "CRITICAL: Generate narrative explaining which loops matter and why" - tools: ["generate_ltm_narrative"] + - step: "understand_behavior_causes" + description: "Use Seldon to understand WHY the model produced this behavior" + tools: ["discuss_model_with_seldon"] always_execute: true - step: "discuss_loop_behavior" - description: "Ask questions to help user understand loop dynamics and behavior causation" + description: "Ask questions to help user understand causal mechanisms and feedback dynamics" tools: ["discuss_with_mentor", "discuss_model_across_runs"] always_execute: true @@ -241,29 +227,26 @@ agent: when_to_use: "After user understands the model structure" auto_suggest: true - get_feedback_loop_analysis: - when_to_use: "ALWAYS after every simulation - critical for teaching" - frequency: "Every single simulation" - always_execute: true - generate_ltm_narrative: - when_to_use: "ALWAYS after getting feedback loops - critical for understanding behavior" - frequency: "Every single simulation" - always_execute: true + when_to_use: "When deep feedback loop analysis would help explain complex behavior" + frequency: "As needed for understanding causal mechanisms" + auto_suggest: false discuss_with_mentor: when_to_use: "Frequently - this is your primary teaching tool" - frequency: "Multiple times per conversation, especially after LTM narrative" + frequency: "Multiple times per conversation, especially after simulations" auto_suggest: true discuss_model_across_runs: - when_to_use: "When explaining behavior in user-friendly terms" - frequency: "After simulations to discuss results and loop influence" + when_to_use: "Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language" + frequency: "When comparing simulation results from different runs or scenarios" auto_suggest: true discuss_model_with_seldon: - when_to_use: "After LTM narrative to verify understanding of feedback loop behavior" - frequency: "After each simulation to ensure correct interpretation" + when_to_use: "After simulations to understand WHY behavior occurs" + frequency: "Primary tool for explaining causal mechanisms and feedback loop behavior" + auto_suggest: true + always_execute: false generate_quantitative_model: when_to_use: "For SFD models - keep them simple" diff --git a/agent/config/myrddin.yaml b/agent/config/myrddin.yaml index 93059746..26a06bad 100644 --- a/agent/config/myrddin.yaml +++ b/agent/config/myrddin.yaml @@ -11,11 +11,6 @@ agent: Ask only the essential questions needed to build accurate models. CRITICAL MODEL TYPE RULES: - - If working on an SFD and you need to conceptualize with a CLD first: - 1. Generate the CLD using generate_qualitative_model - 2. Send it to the client with show_intermediate_model message (displayMode: 'separate_window') - 3. Ask the client to review it in a separate window - 4. Then generate the SFD based on the CLD insights - The main model being built must always match the session's modelType IMPORTANT RULES: @@ -44,11 +39,10 @@ agent: modification_workflow: | When modifying existing models: 1. Call get_current_model() to review current structure - 2. Quickly analyze existing feedback loops and their theoretical implications + 2. If necessary, use discuss_model_with_seldon to quickly analyze existing feedback loops and their implications 3. Make changes efficiently, explaining technical rationale 4. Use update_model() with clear theoretical reasoning - 5. Consider opportunities to use arrays or modules to simplify structure - 6. Recommend testing after significant modifications + 5. Recommend testing after significant modifications validation_rules: | Enforce strict validation: @@ -83,9 +77,6 @@ agent: - step: "ask_essential_questions" description: "Ask only critical questions needed (time horizon, key variables, problem statement)" - - step: "choose_diagram_type" - description: "Recommend CLD for hypothesis development, SFD for quantitative analysis" - - step: "generate_model" tools: ["generate_qualitative_model", "generate_quantitative_model"] parameters: @@ -93,8 +84,8 @@ agent: supportsModules: true - step: "critique_structure" - description: "Identify structural issues and get user opinion on model" - tools: ["discuss_with_mentor"] + description: "Use Seldon to identify structural issues and critique the model" + tools: ["discuss_model_with_seldon"] always_execute: true - step: "validate_structure" @@ -131,23 +122,14 @@ agent: - step: "run_simulation" tools: ["run_model"] - - step: "analyze_feedback_dominance" - tools: ["get_feedback_loop_analysis"] - always_execute: true - - step: "create_analytical_visualization" tools: ["create_visualization"] always_execute: true parameters: type: "time_series" - - step: "generate_loop_narrative" - description: "Generate LTM narrative to verify correct causal interpretation" - tools: ["generate_ltm_narrative"] - always_execute: true - - - step: "validate_behavior_causation" - description: "Use Seldon to verify behavior comes from correct feedback mechanisms" + - step: "understand_causal_mechanisms" + description: "Use Seldon to understand WHY behavior occurs and which feedback mechanisms are driving it" tools: ["discuss_model_with_seldon"] always_execute: true @@ -171,27 +153,20 @@ agent: when_to_use: "After structural validation passes" auto_suggest: true - get_feedback_loop_analysis: - when_to_use: "After every simulation to explain behavior" - frequency: "Every time" - always_execute: true - generate_ltm_narrative: - when_to_use: "After every simulation to verify causal mechanisms" - frequency: "Every time" - always_execute: true + when_to_use: "When deep feedback loop analysis would help explain complex behavior" + frequency: "As needed for understanding causal mechanisms" + auto_suggest: false discuss_model_with_seldon: - when_to_use: "Default discussion tool - use SD terminology freely, verify behavior causation" - frequency: "After simulations and when critiquing models" + when_to_use: "Default discussion tool for understanding WHY behavior occurs - use SD terminology freely" + frequency: "After simulations to understand causal mechanisms and critique models" auto_suggest: true discuss_model_across_runs: - when_to_use: "Only when specifically asked to simplify language" - - discuss_with_mentor: - when_to_use: "When needing to ask critical questions or get user opinions on model validity" - frequency: "When critiquing models or validating assumptions" + when_to_use: "Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics" + frequency: "When comparing simulation results from different runs or scenarios" + auto_suggest: false generate_quantitative_model: when_to_use: "For SFD models - use arrays and modules when appropriate" diff --git a/agent/test-client.html b/agent/test-client.html index 64225d4c..0f5afc6b 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -479,6 +479,10 @@

Model Data

log('Received visualization'); break; + case 'feedback_request': + handleFeedbackRequest(message); + break; + default: log(`Unknown message type: ${message.type}`); } @@ -551,6 +555,138 @@

Model Data

} } + function handleFeedbackRequest(message) { + const { requestId, runId, comparative } = message; + log(`Feedback request received for ${comparative ? 'all runs (comparative)' : `runId: ${runId || 'latest'}`}`); + + // Generate hard-coded feedback loop analysis data + let feedbackContent; + + if (comparative) { + // Return comparative feedback data for multiple runs + feedbackContent = { + runs: { + 'run_baseline': { + loops: [ + { + id: 'loop_1', + name: 'Population Growth Loop', + type: 'reinforcing', + polarity: 'R', + variables: ['Population', 'Births', 'Birth Rate'], + description: 'As population increases, more births occur', + strength: 0.85, + dominance: [ + { time: 0, value: 0.3 }, + { time: 10, value: 0.8 }, + { time: 20, value: 0.9 } + ] + } + ] + }, + 'run_policy': { + loops: [ + { + id: 'loop_1', + name: 'Population Growth Loop', + type: 'reinforcing', + polarity: 'R', + variables: ['Population', 'Births', 'Birth Rate'], + description: 'Growth loop weakened by policy', + strength: 0.45, + dominance: [ + { time: 0, value: 0.3 }, + { time: 10, value: 0.5 }, + { time: 20, value: 0.4 } + ] + }, + { + id: 'loop_2', + name: 'Resource Limitation Loop', + type: 'balancing', + polarity: 'B', + variables: ['Population', 'Resources', 'Death Rate'], + description: 'Balancing loop strengthened by policy', + strength: 0.85, + dominance: [ + { time: 0, value: 0.2 }, + { time: 10, value: 0.6 }, + { time: 20, value: 0.8 } + ] + } + ] + } + }, + comparison: { + differenceExplanation: 'Policy intervention shifts dominance from growth loop to balancing loop' + } + }; + } else { + // Return single run feedback data + feedbackContent = { + loops: [ + { + id: 'loop_1', + name: 'Population Growth Loop', + type: 'reinforcing', + polarity: 'R', + variables: ['Population', 'Births', 'Birth Rate'], + description: 'As population increases, more births occur, further increasing population', + strength: 0.85, + dominance: [ + { time: 0, value: 0.3 }, + { time: 5, value: 0.6 }, + { time: 10, value: 0.8 }, + { time: 15, value: 0.85 }, + { time: 20, value: 0.9 } + ] + }, + { + id: 'loop_2', + name: 'Resource Limitation Loop', + type: 'balancing', + polarity: 'B', + variables: ['Population', 'Resources', 'Death Rate', 'Deaths'], + description: 'As population grows, resources become scarce, increasing death rate and limiting growth', + strength: 0.65, + dominance: [ + { time: 0, value: 0.1 }, + { time: 5, value: 0.2 }, + { time: 10, value: 0.4 }, + { time: 15, value: 0.55 }, + { time: 20, value: 0.65 } + ] + } + ], + analysis: { + dominantLoops: ['loop_1'], + behaviorMode: 'exponential_growth', + phaseDuration: { + early: { time: [0, 8], dominantLoop: 'loop_1' }, + middle: { time: [8, 15], dominantLoop: 'loop_1' }, + late: { time: [15, 20], dominantLoop: 'loop_1' } + } + } + }; + } + + // Send feedback response back to server using tool_call_response format + setTimeout(() => { + send({ + type: 'tool_call_response', + sessionId: sessionId, + callId: requestId, // Use requestId as callId + result: { + feedbackContent: feedbackContent, + runId: runId || 'run_latest', + comparative: comparative || false + }, + isError: false + }); + log(`✓ Feedback response sent (${comparative ? 'comparative' : 'single run'})`, 'sent'); + }, 100); + } + function generateMockToolResult(toolName, toolInput) { let currentModel; try { @@ -602,35 +738,6 @@

Model Data

results: { series } }; - case 'get_feedback_loop_analysis': - // Generate dummy feedback loop analysis based on current model - const modelVars = currentModel.variables || []; - const relationships = currentModel.relationships || []; - const loops = []; - - // Create at least one dummy loop - if (modelVars.length > 0) { - loops.push({ - name: 'Primary Loop', - type: 'reinforcing', - variables: modelVars.slice(0, Math.min(3, modelVars.length)).map(v => v.name || v.id), - strength: 0.85, - polarity: 'R' - }); - } - - if (modelVars.length > 3) { - loops.push({ - name: 'Balancing Loop', - type: 'balancing', - variables: modelVars.slice(0, Math.min(4, modelVars.length)).map(v => v.name || v.id), - strength: 0.65, - polarity: 'B' - }); - } - - return { feedbackLoops: loops }; - case 'show_intermediate_model': log('Mock: Intermediate model shown in separate window'); return { success: true }; @@ -677,11 +784,6 @@

Model Data

} } }, - { - name: 'get_feedback_loop_analysis', - description: 'Get feedback loop analysis', - inputSchema: { type: 'object', properties: {} } - }, { name: 'show_intermediate_model', description: 'Show intermediate model in separate window', diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index a8ce36bb..b627c12c 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -12,6 +12,15 @@ import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; import { SDModelSchema } from '../utilities/MessageProtocol.js'; import logger from '../../utilities/logger.js'; +/** + * Generate a unique request ID for async operations + * @param {string} prefix - Prefix for the request ID (e.g., 'feedback', 'tool') + * @returns {string} Unique request ID + */ +function generateRequestId(prefix = 'request') { + return `${prefix}_${Date.now()}_${Math.random().toString(36).substring(7)}`; +} + /** * BuiltInTools * Creates an MCP server with all SD-AI engine tools plus visualization @@ -154,6 +163,55 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }; } + // Check if feedback information is required but not provided + if (result.output.feedbackInformationRequired && !feedbackLoops) { + // Get feedback information from client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + // Send request to client for feedback data + await sendToClient({ + type: 'feedback_request', + sessionId: sessionId, + requestId: requestId + }); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + // Retry the call with feedback information + const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent.loops, parameters); + + if (!retryResult.success) { + return { + content: [{ type: 'text', text: `Error: ${retryResult.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(retryResult.output, null, 2) + }] + }; + } + return { content: [{ type: 'text', @@ -170,11 +228,12 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }, discuss_model_across_runs: { - description: 'Have a user-friendly discussion about the model without jargon, with the ability to compare and explain differences between simulation runs. Use this for explaining models to beginners or analyzing how different scenarios produce different outcomes.', + description: 'Have a user-friendly discussion about the model without jargon, with the ability to compare and explain differences between simulation runs. Use this to understand what causes behavioral differences across runs - analyzing how different scenarios or parameter changes produce different outcomes by examining the underlying feedback loop dynamics.', inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), model: SDModelSchema.describe('The model to discuss'), runName: z.string().optional().describe('Simulation run ID for context'), + feedbackContent: z.object({}).passthrough().optional().describe('Feedback loop analysis data'), parameters: z.object({ model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), @@ -182,9 +241,15 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), - handler: async ({ prompt, model, runName, parameters }) => { + handler: async ({ prompt, model, runName, feedbackContent, parameters }) => { try { - const result = await callSeldonILEEngine(prompt, model, runName, parameters); + // Add feedbackContent to parameters if provided + const engineParams = { + ...parameters, + ...(feedbackContent && { feedbackContent }) + }; + + const result = await callSeldonILEEngine(prompt, model, runName, engineParams); if (!result.success) { return { @@ -193,6 +258,62 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }; } + // Check if feedback information is required but not provided + if (result.output.feedbackInformationRequired && !feedbackContent) { + // Get comparative feedback information from client (all runs) + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + // Send request to client for comparative feedback data + await sendToClient({ + type: 'feedback_request', + sessionId: sessionId, + requestId: requestId, + runId: runName, + comparative: true // Request feedback for all runs for comparative analysis + }); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + // Retry the call with comparative feedback information + const retryParams = { + ...parameters, + feedbackContent: feedbackData.feedbackContent + }; + + const retryResult = await callSeldonILEEngine(prompt, model, runName, retryParams); + + if (!retryResult.success) { + return { + content: [{ type: 'text', text: `Error: ${retryResult.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(retryResult.output, null, 2) + }] + }; + } + return { content: [{ type: 'text', @@ -320,6 +441,66 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient } }, + get_feedback_information: { + description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Can request feedback for a single run or for all runs (comparative analysis).', + inputSchema: z.object({ + runId: z.string().optional().describe('Simulation run ID to get feedback for. If not provided, gets feedback for the most recent run.'), + comparative: z.boolean().optional().describe('If true, requests feedback information for all runs to enable comparative analysis. Default: false') + }), + handler: async ({ runId, comparative }) => { + try { + // Create a promise that will be resolved when client responds + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + // Send request to client for feedback data + await sendToClient({ + type: 'feedback_request', + sessionId: sessionId, + requestId: requestId, + runId: runId, + comparative: comparative || false + }); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + // Store the resolver in session so it can be called when client responds + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + feedbackContent: feedbackData.feedbackContent, + runId: feedbackData.runId, + comparative: feedbackData.comparative || false + }, null, 2) + }] + }; + } catch (error) { + logger.error('get_feedback_information error:', error); + return { + content: [{ type: 'text', text: `Failed to get feedback information: ${error.message}` }], + isError: true + }; + } + } + }, + create_visualization: { description: `Create a data visualization and send it to the client for display in chat. @@ -411,6 +592,7 @@ export function getBuiltInToolNames() { 'discuss_with_mentor', 'generate_documentation', 'generate_ltm_narrative', + 'get_feedback_information', 'create_visualization' ]; } diff --git a/agent/tools/DynamicToolServer.js b/agent/tools/DynamicToolServer.js index d19dfa8b..c6bcb0c6 100644 --- a/agent/tools/DynamicToolServer.js +++ b/agent/tools/DynamicToolServer.js @@ -1,4 +1,4 @@ -import { z } from 'zod'; +import { StructuredOutputToZodConverter } from '../../utilities/StructuredOutputToZodConverter.js'; /** * DynamicToolServer @@ -16,6 +16,9 @@ export class DynamicToolServer { this.sessionId = sessionId; this.sendToClient = sendToClient; this.mcpServer = null; + + // Initialize schema converter + this.schemaConverter = new StructuredOutputToZodConverter(); } /** @@ -33,7 +36,7 @@ export class DynamicToolServer { // Create MCP server from client tools this.mcpServer = this.createMcpServerFromClientTools(clientTools); - console.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => t.name).join(', ')}`); + console.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => `client_${t.name}`).join(', ')}`); } /** @@ -43,9 +46,10 @@ export class DynamicToolServer { const tools = {}; for (const toolDef of clientTools) { - tools[toolDef.name] = { + const toolName = `client_${toolDef.name}`; + tools[toolName] = { description: toolDef.description, - inputSchema: this.convertInputSchema(toolDef.inputSchema), + inputSchema: this.schemaConverter.convert(toolDef.inputSchema), handler: this.createToolHandler(toolDef) }; } @@ -56,77 +60,23 @@ export class DynamicToolServer { }; } - /** - * Convert client input schema to Zod schema - */ - convertInputSchema(inputSchema) { - // inputSchema is in JSON Schema format from client - // Convert to Zod schema - const properties = inputSchema.properties || {}; - const required = inputSchema.required || []; - - const zodSchema = {}; - - for (const [propName, propDef] of Object.entries(properties)) { - let zodField = this.jsonSchemaTypeToZod(propDef); - - // Make optional if not required - if (!required.includes(propName)) { - zodField = zodField.optional(); - } - - // Add description if present - if (propDef.description) { - zodField = zodField.describe(propDef.description); - } - - zodSchema[propName] = zodField; - } - - return z.object(zodSchema); - } - - /** - * Convert JSON Schema type to Zod type - */ - jsonSchemaTypeToZod(propDef) { - switch (propDef.type) { - case 'string': - return z.string(); - case 'number': - return z.number(); - case 'integer': - return z.number().int(); - case 'boolean': - return z.boolean(); - case 'array': - if (propDef.items) { - return z.array(this.jsonSchemaTypeToZod(propDef.items)); - } - return z.array(z.any()); - case 'object': - if (propDef.properties) { - return this.convertInputSchema(propDef); - } - return z.object({}).passthrough(); - default: - return z.any(); - } - } - /** * Create a tool handler that proxies to the client + * Note: toolDef.name is the UNPREFIXED name (e.g., 'get_current_model') */ createToolHandler(toolDef) { return async (args) => { try { + // Use unprefixed name when communicating with client + const clientToolName = toolDef.name; + // Special handling for specific tools - if (toolDef.name === 'get_current_model') { + if (clientToolName === 'get_current_model') { return await this.handleGetCurrentModel(args); - } else if (toolDef.name === 'update_model') { + } else if (clientToolName === 'update_model') { return await this.handleUpdateModel(args); } else { - return await this.requestClientExecution(toolDef.name, args); + return await this.requestClientExecution(clientToolName, args); } } catch (error) { console.error(`Error executing client tool ${toolDef.name}:`, error); @@ -236,15 +186,15 @@ export class DynamicToolServer { } /** - * Get list of registered client tool names + * Get list of registered client tool names (with client_ prefix) */ getClientToolNames() { const session = this.sessionManager.getSession(this.sessionId); - return session?.registeredTools.map(t => t.name) || []; + return session?.registeredTools.map(t => `client_${t.name}`) || []; } /** - * Check if a tool is a client tool + * Check if a tool is a client tool (expects prefixed name) */ isClientTool(toolName) { return this.getClientToolNames().includes(toolName); diff --git a/agent/utilities/ConfigManager.js b/agent/utilities/AgentConfigurationManager.js similarity index 57% rename from agent/utilities/ConfigManager.js rename to agent/utilities/AgentConfigurationManager.js index 7b5d2f33..34693951 100644 --- a/agent/utilities/ConfigManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -3,7 +3,7 @@ import yaml from 'js-yaml'; import logger from '../../utilities/logger.js'; /** - * ConfigManager + * AgentConfigurationManager * Loads and manages agent configuration from YAML files * * Key Features: @@ -13,7 +13,68 @@ import logger from '../../utilities/logger.js'; * - Generates system prompts for Claude Agent SDK * - NO filesystem writes - all modifications in memory only */ -export class ConfigManager { +export class AgentConfigurationManager { + static UNIVERSAL_AGENT_INSTRUCTIONS = +`# System Dynamics Modeling Assistant + +## CRITICAL: Model Type Enforcement +Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). +The model type is set at session initialization and CANNOT be changed. +NEVER switch between CLD and SFD during a session. + +## CRITICAL: Automatic Model Validation +After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST: +1. Immediately use get_current_model to retrieve the updated model +2. Check that returned model for errors and warnings +3. If ERRORS are present: You MUST fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. +4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. +5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed. + +## CRITICAL: Use Loops that Matter, called LTM for Feedback Loop Analysis +Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. + +## CRITICAL: Feedback Loop Analysis and Model Understanding +Make HEAVY use of any tools that provide feedback loop information (such as loop analysis, causal structure analysis, or behavioral mode detection). + +**IMPORTANT: Before using discuss_model_with_seldon or generate_ltm_narrative, you MUST:** +1. First call get_feedback_information to retrieve feedback loop analysis data from the client +2. Pass this feedback information to discuss_model_with_seldon or generate_ltm_narrative +3. Don't call these tools without giving them feedback information when you're asking about causes of behavior. + +**CRITICAL: NEVER report or describe specific feedback loops to the user unless:** +**If you want to talk about feedback loop definitions, you MUST first call get_feedback_information.** + +Do NOT make up, infer, or describe feedback loops based on general knowledge or variable relationships. +Do NOT describe feedback loops based on your understanding of the model structure alone. +Only report feedback loops that you have actual data for from the client via get_feedback_information. + +When feedback loop information is available: +1. Use it to deeply understand WHY the model produces its observed behavior +2. Identify which feedback loops are dominant and how they interact +3. Discuss the feedback structure with Seldon (via discuss_model_with_seldon) to: + - Critique the current model structure + - Understand causal mechanisms driving behavior + - Identify missing feedback loops + - Improve model formulation and structure +4. If the user requests it, you should use loop insights to suggest policies or structural changes that will alter model behavior +5. Explain to users how feedback loops create the patterns they observe in simulation results + +Feedback loops are the heart of system dynamics - understanding them is essential for model improvement and policy design. + +## Using Seldon for Model Planning and Critique +You have access to Seldon, an expert system dynamics mentor, through the discuss_model_with_seldon tool. +Use Seldon extensively to help you: +- Develop comprehensive plans for building complex models +- Validate your modeling approach before implementation +- Get guidance on model structure, variable relationships, and feedback loops +- Critique and improve existing models using feedback loop analysis +- Understand why models produce specific behaviors (leverage loop information) +- Generate policy recommendations and structural changes to achieve desired behaviors +- Review simulation results and their relationship to underlying causal structure + +Consider consulting Seldon when facing complex modeling decisions or when you need expert guidance on system dynamics best practices. +ALWAYS share feedback loop information with Seldon when discussing model behavior or improvements.`; + constructor(configPath) { this.configPath = configPath; this.baseConfig = this.loadConfig(configPath); @@ -97,104 +158,86 @@ export class ConfigManager { * Format merged config into system prompt */ formatSystemPrompt(config) { - const sections = []; - - // General instructions - sections.push('# System Dynamics Modeling Assistant\n'); - - // CRITICAL: Hard-coded model type enforcement rules - sections.push('\n## CRITICAL: Model Type Enforcement'); - sections.push('Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram).'); - sections.push('The model type is set at session initialization and CANNOT be changed.'); - sections.push('NEVER switch between CLD and SFD during a session.'); - - // CRITICAL: Hard-coded model validation rules - sections.push('\n## CRITICAL: Automatic Model Validation'); - sections.push('After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST:'); - sections.push('1. Immediately use get_current_model to retrieve the updated model'); - sections.push('2. Check the model for errors and warnings'); - sections.push('3. If ERRORS are present: You MUST fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them.'); - sections.push('4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them.'); - sections.push('5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed.'); + let prompt = AgentConfigurationManager.UNIVERSAL_AGENT_INSTRUCTIONS; // Model type declaration if (config.modelType) { - sections.push(`\n## SESSION MODEL TYPE: ${config.modelType.toUpperCase()}`); - sections.push(`This session is working with ${config.modelType === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`); - sections.push('You must work exclusively with this model type for the entire session.\n'); + prompt += `\n\n## SESSION MODEL TYPE: ${config.modelType.toUpperCase()}`; + prompt += `\nThis session is working with ${config.modelType === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`; + prompt += '\nYou must work exclusively with this model type for the entire session.'; } - sections.push(config.instructions.general); + prompt += '\n\n' + config.instructions.general; // Session role override if (config.sessionRole) { - sections.push('\n## Your Role'); - sections.push(config.sessionRole); + prompt += '\n\n## Your Role'; + prompt += '\n' + config.sessionRole; } // Modeling workflow - sections.push('\n## Modeling Workflow'); - sections.push(config.instructions.modeling_workflow); + prompt += '\n\n## Modeling Workflow'; + prompt += '\n' + config.instructions.modeling_workflow; // Modification workflow - sections.push('\n## Modification Workflow'); - sections.push(config.instructions.modification_workflow); + prompt += '\n\n## Modification Workflow'; + prompt += '\n' + config.instructions.modification_workflow; // Validation rules - sections.push('\n## Validation Rules'); - sections.push(config.instructions.validation_rules); + prompt += '\n\n## Validation Rules'; + prompt += '\n' + config.instructions.validation_rules; // Visualization guidelines if (config.instructions.visualization_guidelines) { - sections.push('\n## Visualization Guidelines'); - sections.push(config.instructions.visualization_guidelines); + prompt += '\n\n## Visualization Guidelines'; + prompt += '\n' + config.instructions.visualization_guidelines; } // Tool policies - sections.push('\n## Tool Usage Policies'); - sections.push(this.formatToolPolicies(config.toolPolicies)); + prompt += '\n\n## Tool Usage Policies'; + prompt += '\n' + this.formatToolPolicies(config.toolPolicies); // Action sequences - sections.push('\n## Action Sequences'); - sections.push(this.formatActionSequences(config.actionSequence, config.workflowOverrides)); + prompt += '\n\n## Action Sequences'; + prompt += '\n' + this.formatActionSequences(config.actionSequence, config.workflowOverrides); // Communication style - sections.push('\n## Communication Style'); - sections.push(this.formatCommunicationGuidelines(config.communication)); + prompt += '\n\n## Communication Style'; + prompt += '\n' + this.formatCommunicationGuidelines(config.communication); // Error handling - sections.push('\n## Error Handling'); - sections.push(this.formatErrorHandling(config.errorHandling)); + prompt += '\n\n## Error Handling'; + prompt += '\n' + this.formatErrorHandling(config.errorHandling); // Constraints - sections.push('\n## Constraints'); - sections.push(this.formatConstraints(config.constraints)); + prompt += '\n\n## Constraints'; + prompt += '\n' + this.formatConstraints(config.constraints); // Session goals if (config.sessionGoals && config.sessionGoals.length > 0) { - sections.push('\n## Session Goals'); + prompt += '\n\n## Session Goals'; config.sessionGoals.forEach(goal => { - sections.push(`- ${goal}`); + prompt += `\n- ${goal}`; }); } // Session constraints if (config.sessionConstraints && config.sessionConstraints.length > 0) { - sections.push('\n## Session Constraints'); + prompt += '\n\n## Session Constraints'; config.sessionConstraints.forEach(constraint => { - sections.push(`- ${constraint}`); + prompt += `\n- ${constraint}`; }); } // Runtime instructions if (config.runtimeInstructions && config.runtimeInstructions.length > 0) { - sections.push('\n## IMPORTANT: Current Instructions'); + prompt += '\n\n## IMPORTANT: Current Instructions'; config.runtimeInstructions.forEach(instruction => { - sections.push(`- ${instruction}`); + prompt += `\n- ${instruction}`; }); } - return sections.join('\n'); + return prompt; } /** diff --git a/agent/websocket.js b/agent/websocket.js index 74a56164..1f37e56d 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -189,7 +189,7 @@ export function handleWebSocketConnection(ws, sessionManager) { // Handle tool_call_response async function handleToolCallResponse(message) { try { - // Resolve pending tool call + // First try to resolve as a regular tool call const resolved = sessionManager.resolvePendingToolCall( sessionId, message.callId, @@ -197,8 +197,24 @@ export function handleWebSocketConnection(ws, sessionManager) { message.isError ); + // If not a regular tool call, check if it's a feedback request response if (!resolved) { - logger.warn(`Received response for unknown call ID: ${message.callId}`); + const session = sessionManager.getSession(sessionId); + if (session?.pendingFeedbackRequests?.has(message.callId)) { + const pending = session.pendingFeedbackRequests.get(message.callId); + clearTimeout(pending.timeout); + + if (message.isError) { + pending.reject(new Error(message.result)); + } else { + pending.resolve(message.result); + } + + session.pendingFeedbackRequests.delete(message.callId); + logger.log(`Resolved feedback request: ${message.callId}`); + } else { + logger.warn(`Received response for unknown call ID: ${message.callId}`); + } } } catch (error) { logger.error(`Error handling tool response for session ${sessionId}:`, error); diff --git a/engines/seldon-experimental/engine.js b/engines/seldon-experimental/engine.js index b2322056..dd6bc6dd 100644 --- a/engines/seldon-experimental/engine.js +++ b/engines/seldon-experimental/engine.js @@ -142,14 +142,12 @@ wants to experiment with the specific prompts passed to the LLM.`; let brain = new SeldonBrain(parameters); const response = await brain.converse(prompt, currentModel); return { - output: { - textContent: response - } + output: response }; } catch(err) { logger.error(err); - return { - err: err.toString() + return { + err: err.toString() }; } } diff --git a/engines/seldon-ile-user/SeldonILEUserBrain.js b/engines/seldon-ile-user/SeldonILEUserBrain.js index b024da6d..8420a9df 100644 --- a/engines/seldon-ile-user/SeldonILEUserBrain.js +++ b/engines/seldon-ile-user/SeldonILEUserBrain.js @@ -118,7 +118,10 @@ A dominant feedback process is one that drives more than 50% of the model's beha reply = "Please re-run the model to compute the information we need to answer your question.
" + reply; } - return reply; + return { + textContent: reply, + feedbackInformationRequired: originalResponse.feedbackInformationRequired + }; } #isValidFeedbackContent() { diff --git a/engines/seldon-ile-user/engine.js b/engines/seldon-ile-user/engine.js index 59326090..c0a061d2 100644 --- a/engines/seldon-ile-user/engine.js +++ b/engines/seldon-ile-user/engine.js @@ -80,9 +80,7 @@ class Engine { let brain = new SeldonILEUserBrain(parameters); const response = await brain.converse(prompt, currentModel); return { - output: { - textContent: response - } + output: response }; } catch(err) { logger.error(err); diff --git a/engines/seldon-mentor/engine.js b/engines/seldon-mentor/engine.js index b5e7a96e..35324d20 100644 --- a/engines/seldon-mentor/engine.js +++ b/engines/seldon-mentor/engine.js @@ -74,9 +74,7 @@ class Engine { const response = await brain.converse(prompt, currentModel); return { - output: { - textContent: response - } + output: response }; } catch(err) { logger.error(err); diff --git a/engines/seldon/SeldonBrain.js b/engines/seldon/SeldonBrain.js index e94502d4..10f596f3 100644 --- a/engines/seldon/SeldonBrain.js +++ b/engines/seldon/SeldonBrain.js @@ -150,7 +150,10 @@ As the world's best System Dynamics Modeler, you will consider and apply the Sys reply = "Please re-run the model with calculate loop dominance information turned on.
" + reply; } - return reply; + return { + textContent: reply, + feedbackInformationRequired: originalResponse.feedbackInformationRequired + }; } mentor() { diff --git a/engines/seldon/engine.js b/engines/seldon/engine.js index 7df22584..0a0aac7a 100644 --- a/engines/seldon/engine.js +++ b/engines/seldon/engine.js @@ -72,14 +72,12 @@ class Engine { let brain = new SeldonBrain(parameters); const response = await brain.converse(prompt, currentModel); return { - output: { - textContent: response - } + output: response }; } catch(err) { logger.error(err); - return { - err: err.toString() + return { + err: err.toString() }; } } diff --git a/tests/agent/ConfigManager.test.js b/tests/agent/AgentConfigurationManager.test.js similarity index 87% rename from tests/agent/ConfigManager.test.js rename to tests/agent/AgentConfigurationManager.test.js index f9e6ee51..8f15d98f 100644 --- a/tests/agent/ConfigManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -1,16 +1,16 @@ -import { ConfigManager } from '../../agent/utilities/ConfigManager.js'; +import { AgentConfigurationManager } from '../../agent/utilities/AgentConfigurationManager.js'; import path from 'path'; import { fileURLToPath } from 'url'; const __filename = fileURLToPath(import.meta.url); const __dirname = path.dirname(__filename); -describe('ConfigManager', () => { +describe('AgentConfigurationManager', () => { let configManager; beforeEach(() => { const configPath = path.join(__dirname, '../../agent/config/ganos-lal.yaml'); - configManager = new ConfigManager(configPath); + configManager = new AgentConfigurationManager(configPath); }); describe('constructor', () => { @@ -22,7 +22,7 @@ describe('ConfigManager', () => { it('should throw error for non-existent config file', () => { expect(() => { - new ConfigManager('/non/existent/path.yaml'); + new AgentConfigurationManager('/non/existent/path.yaml'); }).toThrow(); }); }); @@ -71,7 +71,7 @@ describe('ConfigManager', () => { describe('agent configurations', () => { it('should load Myrddin config correctly', () => { const configPath = path.join(__dirname, '../../agent/config/myrddin.yaml'); - const myrddinConfig = new ConfigManager(configPath); + const myrddinConfig = new AgentConfigurationManager(configPath); expect(myrddinConfig.config.agent.name).toBe('Myrddin'); expect(myrddinConfig.config.agent.description).toContain('Expert Modeler'); @@ -79,7 +79,7 @@ describe('ConfigManager', () => { it('should have different constraints for different agents', () => { const ganosConfig = configManager; - const myrConfig = new ConfigManager(path.join(__dirname, '../../agent/config/myrddin.yaml')); + const myrConfig = new AgentConfigurationManager(path.join(__dirname, '../../agent/config/myrddin.yaml')); const ganosPrompt = ganosConfig.buildSystemPrompt({}, {}, 'sfd'); const myrPrompt = myrConfig.buildSystemPrompt({}, {}, 'sfd'); diff --git a/utilities/StructuredOutputToZodConverter.js b/utilities/StructuredOutputToZodConverter.js new file mode 100644 index 00000000..791fa140 --- /dev/null +++ b/utilities/StructuredOutputToZodConverter.js @@ -0,0 +1,123 @@ +import { z } from 'zod'; +import logger from './logger.js'; + +/** + * StructuredOutputToZodConverter + * Converts JSON Schema (structured output format) to Zod schemas + * + * This is the inverse of ZodToStructuredOutputConverter. + * Used primarily for converting client-registered tool schemas + * (which come in JSON Schema format) to Zod schemas for validation. + */ +export class StructuredOutputToZodConverter { + /** + * Convert JSON schema to Zod schema + * @param {Object} jsonSchema - JSON Schema object + * @returns {import('zod').ZodTypeAny} Zod schema + */ + convert(jsonSchema) { + if (!jsonSchema || !jsonSchema.type) { + logger.warn('Invalid JSON Schema provided'); + return z.any(); + } + + // Handle object schema + if (jsonSchema.type === 'object') { + return this.convertObjectSchema(jsonSchema); + } + + // Handle primitive or array schema + return this.convertTypeToZod(jsonSchema); + } + + /** + * Convert JSON Schema object to Zod object schema + * @param {Object} jsonSchema - JSON Schema object with properties + * @returns {import('zod').ZodObject} Zod object schema + */ + convertObjectSchema(jsonSchema) { + const properties = jsonSchema.properties || {}; + const required = jsonSchema.required || []; + + const zodSchema = {}; + + for (const [propName, propDef] of Object.entries(properties)) { + let zodField = this.convertTypeToZod(propDef); + + // Make optional if not required + if (!required.includes(propName)) { + zodField = zodField.optional(); + } + + // Add description if present + if (propDef.description) { + zodField = zodField.describe(propDef.description); + } + + zodSchema[propName] = zodField; + } + + return z.object(zodSchema); + } + + /** + * Convert JSON Schema type to Zod type + * @param {Object} propDef - JSON Schema property definition + * @returns {import('zod').ZodTypeAny} Zod type + */ + convertTypeToZod(propDef) { + switch (propDef.type) { + case 'string': + return this.convertStringType(propDef); + case 'number': + return z.number(); + case 'integer': + return z.number().int(); + case 'boolean': + return z.boolean(); + case 'array': + return this.convertArrayType(propDef); + case 'object': + return this.convertNestedObject(propDef); + default: + logger.warn(`Unknown JSON Schema type: ${propDef.type}`); + return z.any(); + } + } + + /** + * Convert string type with enum support + * @param {Object} propDef - JSON Schema string property + * @returns {import('zod').ZodString|import('zod').ZodEnum} Zod string or enum + */ + convertStringType(propDef) { + if (propDef.enum && propDef.enum.length > 0) { + return z.enum(propDef.enum); + } + return z.string(); + } + + /** + * Convert array type + * @param {Object} propDef - JSON Schema array property + * @returns {import('zod').ZodArray} Zod array + */ + convertArrayType(propDef) { + if (propDef.items) { + return z.array(this.convertTypeToZod(propDef.items)); + } + return z.array(z.any()); + } + + /** + * Convert nested object + * @param {Object} propDef - JSON Schema nested object property + * @returns {import('zod').ZodObject} Zod object + */ + convertNestedObject(propDef) { + if (propDef.properties) { + return this.convertObjectSchema(propDef); + } + return z.object({}).passthrough(); + } +} diff --git a/utilities/ZodToStructuredOutputConverter.js b/utilities/ZodToStructuredOutputConverter.js index 48017b6b..b2098741 100644 --- a/utilities/ZodToStructuredOutputConverter.js +++ b/utilities/ZodToStructuredOutputConverter.js @@ -35,6 +35,12 @@ export class ZodToStructuredOutputConverter { return this.convertZodUnionToStructuredOutput(zodSchema._def); case 'ZodLiteral': return this.convertZodLiteralToStructuredOutput(zodSchema._def); + case 'ZodAny': + // ZodAny allows any value - we treat it as an object with no constraints + return { + type: 'object', + additionalProperties: true + }; default: logger.warn(`Unsupported Zod type: ${zodType}`); return { type: 'string' }; From 4a85ca21adc2485b5e05d1577da8917148d25f8a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 16 Apr 2026 08:11:16 -0400 Subject: [PATCH 003/226] The system is really working, its now properly asking the user for input etc --- agent/AgentOrchestrator.js | 43 +- agent/README.md | 887 ++++++++++++++---- agent/config/ganos-lal.yaml | 128 +-- agent/config/myrddin.yaml | 10 +- agent/test-client.html | 60 +- agent/tools/BuiltInTools.js | 24 +- agent/tools/DynamicToolServer.js | 3 +- agent/utilities/AgentConfigurationManager.js | 122 +-- agent/utilities/MessageProtocol.js | 94 +- agent/utilities/SessionManager.js | 26 +- agent/websocket.js | 124 ++- tests/agent/AgentConfigurationManager.test.js | 61 +- tests/agent/MessageProtocol.test.js | 41 +- tests/agent/SessionManager.test.js | 29 +- 14 files changed, 1063 insertions(+), 589 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 839fb266..2b7b7120 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -5,7 +5,7 @@ import { createBuiltInToolsServer, getBuiltInToolNames } from './tools/BuiltInTo import { DynamicToolServer } from './tools/DynamicToolServer.js'; import { createAgentTextMessage, - createToolCallInitiatedMessage, + createToolCallNotificationMessage, createToolCallCompletedMessage, createAgentCompleteMessage, createErrorMessage @@ -58,7 +58,7 @@ export class AgentOrchestrator { /** * Start a conversation with the agent */ - async startConversation(userMessage, sessionConfig = {}) { + async startConversation(userMessage) { try { const session = this.sessionManager.getSession(this.sessionId); if (!session) { @@ -72,13 +72,8 @@ export class AgentOrchestrator { }); // Build system prompt from config - const runtimeDirectives = this.sessionManager.getRuntimeDirectives(this.sessionId); const modelType = session.modelType; - const systemPrompt = this.configManager.buildSystemPrompt( - sessionConfig, - runtimeDirectives, - modelType - ); + const systemPrompt = this.configManager.buildSystemPrompt(modelType); // Get tool servers const builtInTools = createBuiltInToolsServer( @@ -187,9 +182,9 @@ export class AgentOrchestrator { } else if (block.type === 'tool_use') { hasToolCalls = true; - // Notify client that tool call is initiated + // Notify client that tool call is happening (for UI display) const isBuiltIn = this.isBuiltInTool(block.name, builtInTools); - await this.sendToClient(createToolCallInitiatedMessage( + await this.sendToClient(createToolCallNotificationMessage( this.sessionId, block.id, block.name, @@ -357,39 +352,13 @@ export class AgentOrchestrator { isBuiltInTool(toolName, builtInTools) { return toolName in builtInTools.tools; } - - /** - * Set runtime directives - */ - setRuntimeDirectives(directives) { - this.sessionManager.setRuntimeDirectives(this.sessionId, directives); - } - /** * Get agent capabilities for session_ready message */ getAgentCapabilities() { - const session = this.sessionManager.getSession(this.sessionId); - const model = session?.clientModel; - return { builtInTools: getBuiltInToolNames(), - clientTools: this.dynamicToolServer.getClientToolNames(), - modelSummary: model ? this.summarizeModel(model) : undefined - }; - } - - /** - * Summarize model for capabilities - */ - summarizeModel(model) { - const variables = model.variables || []; - - return { - variableCount: variables.length, - stockCount: variables.filter(v => v.type === 'stock').length, - flowCount: variables.filter(v => v.type === 'flow').length, - hasModules: (model.modules && model.modules.length > 0) || false + clientTools: this.dynamicToolServer.getClientToolNames() }; } } diff --git a/agent/README.md b/agent/README.md index 50aa5ce1..125c7a1b 100644 --- a/agent/README.md +++ b/agent/README.md @@ -4,7 +4,7 @@ AI-powered agent for building and modifying System Dynamics models via WebSocket ## Overview -This WebSocket server provides an AI agent (powered by Claude Agent SDK) that helps users build, modify, and analyze System Dynamics models. The agent uses existing SD-AI engines as tools and allows clients to dynamically register their own tools for model execution and data retrieval. +This WebSocket server provides an AI agent (powered by Claude) that helps users build, modify, and analyze System Dynamics models. The agent uses existing SD-AI engines as tools and allows clients to dynamically register their own tools for model execution and data retrieval. **Key Features:** - Stateless server architecture (all user data lives client-side) @@ -13,6 +13,7 @@ This WebSocket server provides an AI agent (powered by Claude Agent SDK) that he - Dynamic client tool registration - Configurable agent behavior via YAML - AI-powered custom visualizations +- Multiple agent personalities (Ganos Lal, Myrddin, etc.) ## Architecture @@ -28,7 +29,7 @@ The **server** maintains (in-memory only): - Active WebSocket sessions - Model type (CLD or SFD) - set once, never changes - Conversation context -- Pending tool calls +- Pending tool calls and feedback requests - Session-specific temp folders ### Model Type Enforcement @@ -70,66 +71,124 @@ Returns active session statistics, memory usage, and temp folder info. ## WebSocket Protocol +### Connection Flow + +1. **Client connects** to WebSocket endpoint +2. **Server sends** `session_created` with session ID +3. **Client sends** `initialize_session` with auth, model type, initial model, and tools +4. **Server validates** and sends `session_ready` with available agents +5. **Client sends** `select_agent` to choose an agent (e.g., "ganos-lal", "myrddin") +6. **Server sends** `agent_selected` confirmation +7. **Normal conversation** begins with `chat` messages + ### Client → Server Messages +All client messages include a `sessionId` (except `initialize_session` which receives one). + #### 1. Initialize Session +Establishes a session with authentication, model type, initial model, client tools, and context. + ```json { "type": "initialize_session", + "authenticationKey": "your-auth-key", + "clientProduct": "sd-web", + "clientVersion": "1.0.0", + "modelType": "sfd", "model": { - "variables": [...], - "relationships": [...], - "specs": {...} + "variables": [], + "relationships": [], + "specs": {} }, "tools": [ { - "name": "run_model", - "description": "Creates a new simulation run", - "inputSchema": {...} - }, - { - "name": "get_variable_data", - "description": "Retrieves time series data from existing run", - "inputSchema": {...} + "name": "get_current_model", + "description": "Returns the current model state from the client", + "inputSchema": { + "type": "object", + "properties": {} + } }, { - "name": "generate_ltm_narrative", - "description": "Generates LTM narrative with feedback loop analysis", - "inputSchema": {...} + "name": "update_model", + "description": "Updates the client's model with changes", + "inputSchema": { + "type": "object", + "properties": { + "model": { "type": "object" }, + "explanation": { "type": "string" } + } + } }, { - "name": "get_current_model", - "description": "Returns current model state", - "inputSchema": {} + "name": "run_model", + "description": "Runs a simulation and returns time series data", + "inputSchema": { + "type": "object", + "properties": { + "timeRange": { "type": "object" } + } + } }, { - "name": "update_model", - "description": "Applies model changes", - "inputSchema": {...} + "name": "show_intermediate_model", + "description": "Shows an intermediate model in a separate window", + "inputSchema": { + "type": "object", + "properties": { + "model": { "type": "object" }, + "displayMode": { "type": "string" } + } + } } ], - "sessionConfig": { - "agentInstructions": { - "role": "...", - "constraints": [...], - "goals": [...] - } + "context": { + "description": "Optional context about the modeling task" } } ``` -#### 2. Chat Message +**Fields:** +- `authenticationKey` - Server authentication (can be disabled in config) +- `clientProduct` - Client identifier (e.g., "sd-web", "sd-desktop") +- `clientVersion` - Client version for compatibility checking +- `modelType` - Either `"cld"` or `"sfd"` - **cannot be changed during session** +- `model` - Initial model state (can be empty) +- `tools` - Array of client tool definitions (see Client Tool Registration below) +- `context` - Optional contextual information + +#### 2. Select Agent + +Chooses which agent personality to use for the session. + +```json +{ + "type": "select_agent", + "sessionId": "sess_abc123", + "agentId": "ganos-lal" +} +``` + +**Available Agents:** +- `ganos-lal` - Helpful mentor who guides users through modeling +- `myrddin` - Expert modeler focused on technical excellence + +#### 3. Chat Message + +Sends a user message to the agent. ```json { "type": "chat", "sessionId": "sess_abc123", - "message": "Add immigration to my model" + "message": "Build me a simple population model" } ``` -#### 3. Tool Call Response +#### 4. Tool Call Response + +Responds to a `tool_call_request` with execution results. ```json { @@ -137,51 +196,204 @@ Returns active session statistics, memory usage, and temp folder info. "sessionId": "sess_abc123", "callId": "call_xyz789", "result": { - "runId": "run_12345", - "data": {...} + "model": { + "variables": [...], + "relationships": [...] + } }, "isError": false } ``` +**Error Response:** +```json +{ + "type": "tool_call_response", + "sessionId": "sess_abc123", + "callId": "call_xyz789", + "result": "Model validation failed: missing required field 'name'", + "isError": true +} +``` + +#### 5. Model Updated Notification + +Notifies the server when the client updates the model externally (e.g., user manual edit). + +```json +{ + "type": "model_updated_notification", + "sessionId": "sess_abc123", + "model": { + "variables": [...], + "relationships": [...] + }, + "changeReason": "User manually added a new variable" +} +``` + +#### 6. Disconnect + +Gracefully closes the session. + +```json +{ + "type": "disconnect", + "sessionId": "sess_abc123" +} +``` + ### Server → Client Messages -#### Session Created +#### 1. Session Created + +Sent immediately upon WebSocket connection. Provides the session ID for all subsequent messages. ```json { "type": "session_created", - "sessionId": "sess_abc123" + "sessionId": "sess_abc123", + "timestamp": "2025-01-15T10:30:00.000Z" +} +``` + +#### 2. Session Ready + +Sent after successful initialization. Lists available agents for selection. + +```json +{ + "type": "session_ready", + "sessionId": "sess_abc123", + "availableAgents": [ + { + "id": "ganos-lal", + "name": "Ganos Lal", + "description": "A helpful mentor who guides you through building models" + }, + { + "id": "myrddin", + "name": "Myrddin", + "description": "An expert modeler focused on technical excellence" + } + ], + "timestamp": "2025-01-15T10:30:00.100Z" +} +``` + +#### 3. Agent Selected + +Confirms that an agent has been selected and is ready. + +```json +{ + "type": "agent_selected", + "sessionId": "sess_abc123", + "agentId": "ganos-lal", + "agentName": "Ganos Lal", + "timestamp": "2025-01-15T10:30:00.200Z" } ``` -#### Agent Text +#### 4. Agent Text + +Text response from the agent (thinking or final response). ```json { "type": "agent_text", "sessionId": "sess_abc123", - "content": "I'll add immigration to your model...", - "isThinking": true + "content": "I'll help you build a population model with births and deaths...", + "isThinking": false, + "timestamp": "2025-01-15T10:30:01.000Z" } ``` -#### Tool Call Request (client must execute) +**Fields:** +- `isThinking` - `true` if this is internal reasoning (optional to display), `false` for final response + +#### 5. Tool Call Notification + +Informs the client that a tool is being called (for UI display purposes). Sent for ALL tools (built-in and client). ```json { - "type": "tool_call_request", + "type": "tool_call_notification", "sessionId": "sess_abc123", "callId": "call_abc456", + "toolName": "generate_quantitative_model", + "arguments": { + "prompt": "Create a simple population model", + "modelType": "sfd" + }, + "isBuiltIn": true, + "timestamp": "2025-01-15T10:30:02.000Z" +} +``` + +**Fields:** +- `isBuiltIn` - `true` for server-side tools, `false` for client tools +- **Client Action:** Display in UI, show loading state, log the tool call + +#### 6. Tool Call Request + +**Only sent for client tools.** Requests the client to execute one of their registered tools and return results. + +```json +{ + "type": "tool_call_request", + "sessionId": "sess_abc123", + "callId": "call_xyz789", "toolName": "run_model", "arguments": { - "variables": ["Population", "Births", "Deaths"] + "timeRange": { + "start": 0, + "end": 100, + "dt": 1 + } + }, + "timeout": 30000, + "timestamp": "2025-01-15T10:30:03.000Z" +} +``` + +**Fields:** +- `timeout` - Milliseconds before request times out (default: 30000) +- **Client Action:** Execute the tool and send back `tool_call_response` + +**Important:** Client will receive BOTH `tool_call_notification` (for UI) AND `tool_call_request` (for execution) for client tools. + +#### 7. Tool Call Completed + +Sent after a tool completes execution (built-in or client tool). + +```json +{ + "type": "tool_call_completed", + "sessionId": "sess_abc123", + "callId": "call_abc456", + "toolName": "generate_quantitative_model", + "result": { + "content": [ + { + "type": "text", + "text": "{\"model\": {...}, \"supportingInfo\": {...}}" + } + ] }, - "timeout": 30000 + "isError": false, + "responseType": "model", + "timestamp": "2025-01-15T10:30:04.000Z" } ``` -#### Visualization +**Fields:** +- `isError` - Whether the tool execution failed +- `responseType` - One of: `"model"`, `"discuss"`, `"ltm-discuss"`, `"other"` + +#### 8. Visualization + +Sends visualization data to the client (Plotly or image format). ```json { @@ -189,128 +401,356 @@ Returns active session statistics, memory usage, and temp folder info. "sessionId": "sess_abc123", "visualizationId": "viz_12345", "title": "Population Growth Over Time", + "description": "Shows exponential growth pattern", "format": "plotly", "data": { - "data": [...], - "layout": {...} - } + "data": [ + { + "x": [0, 1, 2, 3, 4, 5], + "y": [100, 105, 110, 116, 122, 128], + "type": "scatter", + "name": "Population" + } + ], + "layout": { + "title": "Population Growth", + "xaxis": { "title": "Time" }, + "yaxis": { "title": "Population" } + } + }, + "metadata": { + "createdBy": "generate_quantitative_model", + "variables": ["Population"] + }, + "timestamp": "2025-01-15T10:30:05.000Z" } ``` -## Built-In Tools +**Formats:** +- `"plotly"` - Plotly JSON specification +- `"image"` - Base64-encoded image with metadata -The agent has access to these SD-AI engine tools: +#### 9. Show Intermediate Model -1. **generate_quantitative_model** - Generate Stock Flow Diagrams -2. **generate_qualitative_model** - Generate Causal Loop Diagrams -3. **discuss_model_with_seldon** - Expert SD discussion -4. **discuss_model_across_runs** - User-friendly discussion with ability to compare runs -5. **generate_documentation** - Auto-document variables -6. **generate_ltm_narrative** - Feedback loop narratives -7. **create_visualization** - Create Plotly or Python/matplotlib charts +Asks the client to display an intermediate model (e.g., a CLD created before building an SFD). -## Client Tool Requirements - -Clients **must** implement these tools: +```json +{ + "type": "show_intermediate_model", + "sessionId": "sess_abc123", + "modelType": "cld", + "model": { + "variables": [...], + "relationships": [...] + }, + "purpose": "This CLD shows the conceptual structure before we build the quantitative SFD", + "displayMode": "separate_window", + "timestamp": "2025-01-15T10:30:06.000Z" +} +``` -### 1. run_model +**Display Modes:** +- `"separate_window"` - Show in a new window/dialog +- `"inline"` - Display within the conversation +- `"background"` - Load silently without interrupting -Creates a new simulation run using the client's current model. +#### 10. Feedback Request -**Input:** `{ variables?: string[], timeRange?: {...} }` +Requests feedback loop analysis data from the client (used by Seldon engine for enhanced discussions). -**Output:** ```json { + "type": "feedback_request", + "sessionId": "sess_abc123", + "requestId": "feedback_xyz789", "runId": "run_12345", - "modelSnapshot": {...}, - "data": { - "time": [0, 1, 2, ...], - "Population": [1000, 1020, ...], - ... + "comparative": false, + "timestamp": "2025-01-15T10:30:07.000Z" +} +``` + +**Fields:** +- `runId` - Specific run ID for single-run feedback (optional) +- `comparative` - If `true`, request feedback for ALL runs for comparison + +**Client Response:** Send `tool_call_response` with: +```json +{ + "type": "tool_call_response", + "sessionId": "sess_abc123", + "callId": "feedback_xyz789", + "result": { + "feedbackContent": { + "loops": [ + { + "id": "loop_1", + "name": "Population Growth Loop", + "type": "reinforcing", + "polarity": "R", + "variables": ["Population", "Births"], + "strength": 0.85, + "dominance": [ + { "time": 0, "value": 0.3 }, + { "time": 10, "value": 0.8 } + ] + } + ] + } } } ``` -### 2. get_variable_data +#### 11. Agent Complete + +Signals that the agent has finished processing the current request. + +```json +{ + "type": "agent_complete", + "sessionId": "sess_abc123", + "status": "success", + "finalMessage": "I've completed building your population model.", + "timestamp": "2025-01-15T10:30:08.000Z" +} +``` + +**Status Values:** +- `"success"` - Task completed successfully +- `"error"` - Task failed +- `"awaiting_user"` - Waiting for user input -Retrieves time series data from an existing run. +#### 12. Error -**Input:** `{ runId: string, variables: string[], startTime?: number, endTime?: number }` +Reports errors during message processing or tool execution. -**Output:** ```json { - "time": [0, 1, 2, ...], - "Population": [1000, 1020, ...], - ... + "type": "error", + "sessionId": "sess_abc123", + "error": "Tool 'run_model' timed out after 30 seconds", + "errorCode": "TOOL_TIMEOUT", + "recoverable": true, + "timestamp": "2025-01-15T10:30:09.000Z" +} +``` + +**Fields:** +- `recoverable` - If `true`, the session can continue; if `false`, reconnection may be needed + +## Client Tool Registration + +Clients register their tools during `initialize_session`. Each tool must follow this schema: + +```typescript +{ + name: string, // Unique tool name + description: string, // What the tool does (for AI) + inputSchema: { // JSON Schema for parameters + type: "object", + properties: { + // Parameter definitions + }, + required?: string[] // Required parameters + } } ``` -### 3. generate_ltm_narrative +### Recommended Client Tools + +#### 1. get_current_model -Generates LTM narrative with feedback loop analysis for a run. +**Purpose:** Returns the current model state from the client. -**Input:** `{ runId: string }` +```json +{ + "name": "get_current_model", + "description": "Get the current model from the client", + "inputSchema": { + "type": "object", + "properties": {} + } +} +``` -**Output:** +**Expected Response:** ```json { - "narrative": "...", - "feedbackLoops": [...], - "dominantLoopsByPeriod": [...] + "model": { + "variables": [...], + "relationships": [...], + "specs": {...} + } } ``` -### 4. get_current_model +#### 2. update_model -Returns the client's current model state. +**Purpose:** Updates the client's model with changes or a complete replacement. -**Input:** `{}` +```json +{ + "name": "update_model", + "description": "Update the client model with changes or replace it entirely", + "inputSchema": { + "type": "object", + "properties": { + "model": { + "type": "object", + "description": "Complete model to set (replaces current model)" + }, + "explanation": { + "type": "string", + "description": "Human-readable explanation of what changed" + } + }, + "required": ["model"] + } +} +``` -**Output:** `{ model: {...} }` +**Expected Response:** +```json +{ + "success": true, + "model": { + "variables": [...], + "relationships": [...] + } +} +``` -### 5. update_model +#### 3. run_model -Applies changes to the client's model. +**Purpose:** Executes a simulation and returns time series data. -**Input:** ```json { - "changes": { - "addVariables": [...], - "removeVariables": [...], - "modifyVariables": [...], - "addRelationships": [...], - "removeRelationships": [...] - }, - "reasoning": "..." + "name": "run_model", + "description": "Run model simulation and return time series data", + "inputSchema": { + "type": "object", + "properties": { + "timeRange": { + "type": "object", + "description": "Simulation time configuration" + } + } + } } ``` -**Output:** +**Expected Response:** ```json { "success": true, - "updatedModel": {...}, - "appliedChanges": [...], - "warnings": [] + "results": { + "series": [ + { "time": 0, "Population": 1000, "Births": 20 }, + { "time": 1, "Population": 1020, "Births": 20.4 } + ] + } +} +``` + +#### 4. show_intermediate_model + +**Purpose:** Displays an intermediate model in a separate window. + +```json +{ + "name": "show_intermediate_model", + "description": "Show intermediate model in separate window", + "inputSchema": { + "type": "object", + "properties": { + "model": { "type": "object" }, + "displayMode": { "type": "string" } + } + } } ``` +## Built-In Tools + +The agent has access to these SD-AI engine tools: + +### Model Generation + +1. **generate_quantitative_model** - Generate Stock Flow Diagrams (SFD) + - Creates fully quantitative models with stocks, flows, and equations + - Returns SD-JSON format model + +2. **generate_qualitative_model** - Generate Causal Loop Diagrams (CLD) + - Creates conceptual models showing causal relationships + - Returns SD-JSON format model + +### Discussion & Analysis + +3. **discuss_model_with_seldon** - Expert SD discussion with Seldon + - Deep technical discussions about model structure and behavior + - Can request and use feedback loop analysis for enhanced insights + +4. **discuss_model_across_runs** - User-friendly discussion with run comparison + - Compare behavior across different simulation runs + - Explain why different scenarios produce different outcomes + +5. **discuss_with_mentor** - Friendly mentoring discussions + - User-friendly explanations without jargon + - Educational approach to modeling concepts + +### Documentation + +6. **generate_documentation** - Auto-document model variables + - Generates descriptions and metadata for model elements + - Ensures model is well-documented + +7. **generate_ltm_narrative** - Feedback loop narratives + - Creates Loop Transition Matrices (LTM) narratives + - Analyzes feedback loop dominance over time + +### Visualization + +8. **create_visualization** - Create charts and plots + - Plotly-based interactive visualizations + - Python/matplotlib for custom charts + - AI-generated custom visualization code + ## Agent Configuration -Agent behavior is configured via `agent/config/agent-config.yaml`. +Each agent is configured via YAML files in `agent/config/`: -**Key sections:** -- `instructions` - General guidelines, workflows, validation rules -- `actionSequence` - Step-by-step workflows for different scenarios -- `toolPolicies` - When and how to use each tool -- `communication` - Response style and format -- `errorHandling` - How to handle failures -- `constraints` - Model complexity limits +- `ganos-lal.yaml` - Helpful mentor personality +- `myrddin.yaml` - Expert modeler personality -See [agent-config.yaml](config/agent-config.yaml) for the full configuration. +**Key Configuration Sections:** + +```yaml +agent: + name: "Ganos Lal" + description: "A helpful mentor..." + +instructions: + role: | + You are a friendly Systems Dynamics expert... + + constraints: + - "Never modify the model without explaining why" + - "Always validate before running simulations" + + workflows: + build_model: | + 1. Understand user requirements + 2. Create conceptual CLD first + 3. Build quantitative SFD + 4. Validate and test + +toolPolicies: + generate_quantitative_model: + when: "Building or significantly modifying an SFD model" + bestPractices: + - "Always show intermediate CLD first" + - "Validate all equations" +``` ## Visualization System @@ -328,7 +768,7 @@ Generates Plotly JSON specifications (no temp files). } ``` -### 2. Python/Matplotlib +### 2. Python/Matplotlib Templates Generates Python scripts using predefined templates. @@ -340,9 +780,9 @@ Generates Python scripts using predefined templates. } ``` -### 3. AI-Custom +### 3. AI-Custom Visualizations -Uses AI to write custom Python/matplotlib code. +Uses AI to write custom Python/matplotlib code for unique requirements. ```javascript { @@ -359,97 +799,147 @@ Uses AI to write custom Python/matplotlib code. - Files deleted immediately after visualization creation - Folder cleaned up on session disconnect -## Dependencies - -### Node.js Dependencies - -Installed via `npm install`: -- `@anthropic-ai/claude-agent-sdk` - Claude Agent SDK -- `ws` - WebSocket server -- `zod` - Schema validation -- `js-yaml` - YAML config parsing -- All existing SD-AI dependencies - -### Python Dependencies (for Visualizations) - -Required for Python/matplotlib visualizations: -```bash -pip install matplotlib numpy -``` +## Example Client Implementation -These are likely already installed if PySD is working. - -## Development - -### Running the Server - -```bash -npm start -``` - -WebSocket server available at: `ws://localhost:3000/api/v1/agent` - -### Monitoring - -```bash -curl http://localhost:3000/api/v1/agent/stats -``` - -Shows: -- Active sessions -- Total messages/tool calls -- Temp folder sizes -- Memory usage - -### Testing - -Create a test client (see [test-client.js](test-client.js) example): +### JavaScript/Node.js ```javascript import WebSocket from 'ws'; const ws = new WebSocket('ws://localhost:3000/api/v1/agent'); +let sessionId = null; ws.on('open', () => { - // Send initialize_session - ws.send(JSON.stringify({ - type: 'initialize_session', - model: {...}, - tools: [...] - })); + console.log('Connected to agent server'); }); ws.on('message', (data) => { const message = JSON.parse(data); console.log('Received:', message.type); - if (message.type === 'tool_call_request') { - // Execute tool and respond - const result = executeClientTool(message.toolName, message.arguments); - ws.send(JSON.stringify({ - type: 'tool_call_response', - callId: message.callId, - result - })); + switch (message.type) { + case 'session_created': + sessionId = message.sessionId; + // Send initialization + ws.send(JSON.stringify({ + type: 'initialize_session', + authenticationKey: 'your-key', + clientProduct: 'my-client', + clientVersion: '1.0.0', + modelType: 'sfd', + model: {}, + tools: [ + { + name: 'get_current_model', + description: 'Get current model', + inputSchema: { type: 'object', properties: {} } + }, + { + name: 'update_model', + description: 'Update model', + inputSchema: { + type: 'object', + properties: { + model: { type: 'object' } + } + } + } + ] + })); + break; + + case 'session_ready': + // Select agent + ws.send(JSON.stringify({ + type: 'select_agent', + sessionId: sessionId, + agentId: 'ganos-lal' + })); + break; + + case 'agent_selected': + // Start conversation + ws.send(JSON.stringify({ + type: 'chat', + sessionId: sessionId, + message: 'Build me a simple population model' + })); + break; + + case 'tool_call_notification': + console.log(`Tool ${message.toolName} is being called (built-in: ${message.isBuiltIn})`); + break; + + case 'tool_call_request': + // Execute client tool + const result = executeClientTool(message.toolName, message.arguments); + ws.send(JSON.stringify({ + type: 'tool_call_response', + sessionId: sessionId, + callId: message.callId, + result: result, + isError: false + })); + break; + + case 'agent_text': + console.log('Agent:', message.content); + break; + + case 'visualization': + console.log('Received visualization:', message.title); + // Display visualization using message.data + break; + + case 'agent_complete': + console.log('Agent finished:', message.status); + break; } }); + +function executeClientTool(toolName, args) { + switch (toolName) { + case 'get_current_model': + return { model: currentModel }; + + case 'update_model': + currentModel = args.model; + return { success: true, model: currentModel }; + + default: + return { error: `Unknown tool: ${toolName}` }; + } +} ``` ## Security & Scalability +### Authentication + +Set `AUTHENTICATION_KEY` environment variable to enable authentication: + +```bash +export AUTHENTICATION_KEY="your-secret-key" +``` + +Clients must include this in `initialize_session`. + ### Stateless Design + - No user data persisted server-side - Sessions exist only in RAM - Automatic cleanup on disconnect - Safe for multi-user deployment ### Resource Limits + - Max sessions: 1000 (configurable) - Session timeout: 30 minutes inactive - Max session age: 8 hours - Temp folder monitoring ### Scaling + - Horizontal scaling supported - Use sticky sessions at load balancer - OR: Use shared session store (Redis) @@ -457,25 +947,80 @@ ws.on('message', (data) => { ## Troubleshooting ### WebSocket won't connect + - Check firewall allows WebSocket connections - Verify path is `/api/v1/agent` - Check server logs for errors ### Tool call timeout -- Client must respond within 30 seconds + +- Client must respond within 30 seconds (configurable) - Check client tool implementation - Verify WebSocket connection is stable ### Temp files not cleaned up + - Check session cleanup logs - Verify graceful shutdown handlers - Monitor `/tmp/sd-agent-*/` directories ### Visualization fails + - Python 3 must be available - matplotlib must be installed - Check temp folder permissions +## Development + +### Running the Server + +```bash +npm start +``` + +WebSocket server available at: `ws://localhost:3000/api/v1/agent` + +### Monitoring + +```bash +curl http://localhost:3000/api/v1/agent/stats +``` + +Shows: +- Active sessions +- Total messages/tool calls +- Temp folder sizes +- Memory usage + +### Testing + +Use the included test client: `agent/test-client.html` + +Open in a browser and connect to test all message types. + +## Dependencies + +### Node.js Dependencies + +```bash +npm install +``` + +Key packages: +- `@anthropic-ai/sdk` - Claude API +- `ws` - WebSocket server +- `zod` - Schema validation +- `js-yaml` - YAML config parsing +- All existing SD-AI dependencies + +### Python Dependencies (for Visualizations) + +```bash +pip install matplotlib numpy +``` + +These are likely already installed if PySD is working. + ## License Same as main SD-AI project. diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml index e08bc830..5b608cae 100644 --- a/agent/config/ganos-lal.yaml +++ b/agent/config/ganos-lal.yaml @@ -1,5 +1,9 @@ agent: name: "Ganos Lal" + supports: + - sfd + - cld + description: "Helpful Mentor who uses Socratic questioning to teach System Dynamics concepts. Patient, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" @@ -11,57 +15,82 @@ agent: CRITICAL MODEL TYPE RULES: - The main model being built must always match the session's modelType + CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD + - NEVER build a model immediately when a user mentions a topic + - ALWAYS ask multiple clarifying questions first + - Your job is to help users THINK about their problem, not to quickly generate models + - Spend significant time understanding their problem before proposing any structure + - Building a model should be the LAST step, not the first + IMPORTANT RULES: 1. To see the current model, call get_current_model() 2. To modify the model, call update_model() with proposed changes 3. To run simulations, call run_model() - it automatically uses the client's current model 4. NEVER assume you know the model structure - always call get_current_model() first - 5. Ask lots of questions to understand user's thinking and guide their learning - 6. Use discuss_with_mentor tool frequently to engage users in Socratic dialogue - 7. Keep models simple and educational unless the user specifically requests otherwise - 8. CRITICAL: Use LTM to understand model structure by asking for feedback information! - - modeling_philosophy: | - As a mentor, your approach is to: - 1. Ask questions before making assumptions about what the user wants - 2. CRITICAL: Always ask about desired model complexity level before building - - Simple: 5-10 variables, one to two stocks, up to 10 feedback loops - - Moderate: 11-20 variables, two to four stocks, multiple interacting loops - - User-specified: Build to whatever complexity they request - 3. Build ONLY to the complexity level the user specifies - 4. Guide users to think about system boundaries, feedback loops, and dynamic behavior - 5. Encourage users to articulate their mental models before formalizing them - 6. Avoid advanced features (arrays, modules) unless the user specifically and forcefully requests them - 7. Focus on understanding over complexity - 8. Use simple language and explain SD jargon when you must use it + 5. Ask MANY questions to understand user's thinking and guide their learning + 6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! + 7. Wait for user responses before proceeding - questions should STOP your workflow + 8. Keep models simple and educational unless the user specifically requests otherwise + 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! + 10. NEVER rush to build - spend time exploring the problem space with questions modeling_workflow: | - When helping users build models: - 1. UNDERSTAND FIRST: Ask questions about the system they want to model - - What is the problem or question they're trying to answer? - - What are the key variables they think matter? - - What feedback loops might be at play? - - 2. GUIDE DISCOVERY: Help them think through the structure - - "What happens when X increases?" - - "How might that affect Y over time?" - - "Can you think of any reinforcing or balancing loops?" - - 3. START SIMPLE: Begin with a minimal viable model - - Focus on 5-10 key variables - - Include 1-2 stocks by default - - Identify multiple feedback loops (up to 10) - - Keep equations straightforward - - 4. BUILD UNDERSTANDING: Run simulations and discuss behavior + When helping users build models, follow this SLOW, DELIBERATE process: + + 1. UNDERSTAND THE PROBLEM DEEPLY: + Return text asking 3-5 questions, then STOP and wait for user response: + - "What specific problem or question are you trying to explore?" + - "What behavior over time concerns you or interests you?" + - "What time horizon are we considering - days, months, years?" + - "Who or what are the key actors or entities in this system?" + - "What is your goal in building this model?" + DO NOT proceed until user answers! + + 2. EXPLORE THE SYSTEM BOUNDARY: + Return text asking 2-3 questions, then STOP and wait for user response: + - "What should be inside our model versus outside?" + - "What factors do you think are most important to include?" + - "What can we safely leave out for now?" + DO NOT proceed until user answers! + + 3. IDENTIFY KEY VARIABLES: + Return text asking 3-4 questions, then STOP and wait for user response: + - "What are the key things that change over time in this system?" + - "What accumulates? (These become stocks)" + - "What flows in or out?" + - "What factors influence these flows?" + DO NOT proceed until user answers! + + 4. DISCUSS FEEDBACK STRUCTURE: + Return text asking 2-3 questions, then STOP and wait for user response: + - "Can you trace any loops where things feed back on themselves?" + - "Are there any reinforcing cycles that lead to growth or decline?" + - "Are there any balancing forces that resist change?" + DO NOT proceed until user answers! + + 5. ASK ABOUT COMPLEXITY LEVEL (REQUIRED): + Return text asking about complexity, then STOP and wait for user response: + - "How complex should this model be?" + - Simple (5-10 variables, 1-2 stocks) + - Moderate (11-20 variables, 2-4 stocks) + - Or would you prefer to specify? + DO NOT proceed until user answers! + + 6. ONLY THEN BUILD: After you have answers to questions above, create a minimal viable model + - Focus on what they specified + - Keep equations simple and explainable + + 7. BUILD UNDERSTANDING: Run simulations and discuss behavior - "What do you notice about this behavior?" - "Does this match what you expected?" - "What might be causing this pattern?" - 5. ITERATE THOUGHTFULLY: Only add complexity when needed + 8. ITERATE THOUGHTFULLY: Only add complexity when needed - "Should we explore this aspect in more detail?" - "What other factors might be important?" + REMEMBER: The questioning and dialogue (steps 1-5) should take significantly longer than the building (step 6). + modification_workflow: | When modifying existing models: 1. Call get_current_model() to review current structure @@ -97,7 +126,7 @@ agent: - Focus critique on causal structure, equations, and behavior. question_asking: | - Use the discuss_with_mentor tool frequently to: + Ask questions in your text responses (NOT using tools): - FIRST: "How complex should this model be? Simple (5-10 variables, 1-2 stocks), moderate (11-20 variables, 2-4 stocks), or would you like to specify?" - Ask about system boundaries: "What should be inside vs outside our model?" - Explore causal relationships: "What causes X to change?" @@ -109,6 +138,8 @@ agent: - Connect loops to behavior: "How does this loop influence the behavior of the model?" - Guide next steps: "What aspect should we explore next?" + CRITICAL: After asking questions, STOP and wait for user to respond. Do not continue with tools or model building. + behavior_validation: | CRITICAL: Always verify models produce the right behavior for the right reasons: 1. After simulations, use discuss_with_seldon to understand WHY behavior occurred @@ -163,23 +194,19 @@ agent: - step: "ask_about_goals" description: "Ask what they want to change and why" - tools: ["discuss_with_mentor"] - step: "discuss_implications" description: "Guide thinking about consequences of the change" - tools: ["discuss_with_mentor"] - step: "apply_changes" tools: ["update_model"] - step: "reflect_on_changes" - description: "Ask how they think the change will affect behavior" - tools: ["discuss_with_mentor"] + description: "Ask how the user thinks the change will affect behavior" on_simulation_request: - step: "predict_behavior" description: "Ask user to predict what will happen before running" - tools: ["discuss_with_mentor"] - step: "run_simulation" tools: ["run_model"] @@ -197,21 +224,10 @@ agent: - step: "discuss_loop_behavior" description: "Ask questions to help user understand causal mechanisms and feedback dynamics" - tools: ["discuss_with_mentor", "discuss_model_across_runs"] - always_execute: true - - - step: "verify_behavior_understanding" - description: "Ask user to explain WHY the model behaved as it did in terms of feedback loops" - tools: ["discuss_with_mentor"] always_execute: true - - step: "discuss_results" - description: "Ask questions about observed behavior and compare to predictions" - tools: ["discuss_with_mentor", "discuss_model_across_runs"] - - step: "guide_deeper_interpretation" description: "Help user connect behavior patterns to feedback loop dominance" - tools: ["discuss_with_mentor"] tool_policies: get_current_model: @@ -269,12 +285,12 @@ agent: response_format: thinking: "Consider what question will most help the user learn" - questions: "Ask 1-3 thoughtful questions before taking action" + questions: "Ask one thoughtful question before taking action" actions: "Explain what you're doing and why in simple terms" results: "Interpret in plain language, avoiding technical jargon" next_steps: "Ask what the user wants to explore next" - verbosity: "high" + verbosity: "medium" tone: "encouraging, thoughtful, questioning" error_handling: diff --git a/agent/config/myrddin.yaml b/agent/config/myrddin.yaml index 26a06bad..7754f5e5 100644 --- a/agent/config/myrddin.yaml +++ b/agent/config/myrddin.yaml @@ -2,7 +2,10 @@ agent: name: "Myrddin" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" - + supports: + - sfd + - cld + instructions: general: | You are Myrddin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. @@ -99,11 +102,8 @@ agent: tools: ["get_current_model"] always_execute: true - - step: "analyze_feedback_structure" - description: "Explain current feedback loops and their theoretical basis" - - step: "explain_theoretical_rationale" - description: "Describe why changes are needed from SD theory perspective" + description: "Describe why changes are needed" - step: "apply_changes" tools: ["update_model"] diff --git a/agent/test-client.html b/agent/test-client.html index 0f5afc6b..cc4e493c 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -306,13 +306,7 @@

Model Data

- +
@@ -439,9 +433,24 @@

Model Data

logObject('Received message:', message, 'received'); switch (message.type) { - case 'session_ready': - log(`Session ready! Session ID: ${message.sessionId}`); + case 'session_created': + log(`Session created! Session ID: ${message.sessionId}`); sessionId = message.sessionId; + break; + + case 'session_ready': + log(`Session ready! Available agents: ${message.availableAgents.map(a => a.name).join(', ')}`); + // Automatically select the agent specified in the UI + const agentId = elements.agentType.value; + send({ + type: 'select_agent', + sessionId: sessionId, + agentId: agentId + }); + break; + + case 'agent_selected': + log(`Agent selected: ${message.agentName}`); elements.sendBtn.disabled = false; elements.stopBtn.disabled = false; elements.updateModelBtn.disabled = false; @@ -451,8 +460,8 @@

Model Data

log(`Agent: ${message.content}`); break; - case 'tool_call_initiated': - handleToolCallInitiated(message); + case 'tool_call_notification': + handleToolCallNotification(message); break; case 'tool_call_request': @@ -483,23 +492,32 @@

Model Data

handleFeedbackRequest(message); break; + case 'show_intermediate_model': + log(`Server wants to show intermediate model: ${message.purpose}`); + log(`Display mode: ${message.displayMode}`); + // For now, just log the intermediate model - client could implement UI to display it + elements.modelData.value = JSON.stringify(message.model, null, 2); + log('✓ Intermediate model displayed', 'received'); + break; + default: log(`Unknown message type: ${message.type}`); } } - function handleToolCallInitiated(message) { - const { toolName, arguments: toolArgs } = message; - log(`Tool initiated: ${toolName}`); + function handleToolCallNotification(message) { + const { toolName, arguments: toolArgs, isBuiltIn } = message; + const toolType = isBuiltIn ? 'built-in' : 'client'; + log(`🔧 Tool call (${toolType}): ${toolName}`); // Check if tool arguments contain a model update and display it - if (!message.isBuiltIn && toolName === 'update_model' && toolArgs && toolArgs.model) { + if (!isBuiltIn && toolName === 'update_model' && toolArgs && toolArgs.model) { elements.modelData.value = JSON.stringify(toolArgs.model, null, 2); log('✓ Model data updated from update_model arguments', 'received'); } // Built-in tools will be handled by the server - if (message.isBuiltIn) { + if (isBuiltIn) { if (toolName === 'generate_quantitative_model' || toolName === 'generate_qualitative_model') { log('Built-in model generation tool - will update model data when completed'); } @@ -508,7 +526,7 @@

Model Data

function handleToolCallRequest(message) { const { callId, toolName, arguments: toolArgs } = message; - log(`Tool requested: ${toolName}`); + log(`📨 Client tool execution requested: ${toolName}`); // Automatically respond to client tool calls with mock data setTimeout(() => { @@ -519,6 +537,7 @@

Model Data

callId: callId, result: result }); + log(`✅ Client tool response sent for: ${toolName}`); }, 100); } @@ -754,7 +773,9 @@

Model Data

elements.initBtn.onclick = () => { const message = { type: 'initialize_session', - sessionId: 'test-' + Date.now(), + authenticationKey: 'test-key-12345', + clientProduct: 'sd-test-client', + clientVersion: '1.0.0', modelType: elements.modelType.value, model: {}, tools: [ @@ -796,9 +817,6 @@

Model Data

} } ], - sessionConfig: { - agentId: elements.agentType.value - }, context: { description: 'Test client session' } diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index b627c12c..19cebce4 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -9,7 +9,7 @@ import { callSeldonMentorEngine } from '../utilities/EngineWrapper.js'; import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; -import { SDModelSchema } from '../utilities/MessageProtocol.js'; +import { SDModelSchema, createFeedbackRequestMessage } from '../utilities/MessageProtocol.js'; import logger from '../../utilities/logger.js'; /** @@ -174,11 +174,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const requestId = generateRequestId('feedback'); // Send request to client for feedback data - await sendToClient({ - type: 'feedback_request', - sessionId: sessionId, - requestId: requestId - }); + await sendToClient(createFeedbackRequestMessage(sessionId, requestId)); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { @@ -269,13 +265,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const requestId = generateRequestId('feedback'); // Send request to client for comparative feedback data - await sendToClient({ - type: 'feedback_request', - sessionId: sessionId, - requestId: requestId, - runId: runName, - comparative: true // Request feedback for all runs for comparative analysis - }); + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runName, true)); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { @@ -458,13 +448,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const requestId = generateRequestId('feedback'); // Send request to client for feedback data - await sendToClient({ - type: 'feedback_request', - sessionId: sessionId, - requestId: requestId, - runId: runId, - comparative: comparative || false - }); + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runId, comparative || false)); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { diff --git a/agent/tools/DynamicToolServer.js b/agent/tools/DynamicToolServer.js index c6bcb0c6..228d79e1 100644 --- a/agent/tools/DynamicToolServer.js +++ b/agent/tools/DynamicToolServer.js @@ -141,7 +141,8 @@ export class DynamicToolServer { args ); - // Send tool call request to client + // Send tool_call_request to client (separate from tool_call_notification) + // This actually requests the client to execute the tool and send back results await this.sendToClient({ type: 'tool_call_request', sessionId: this.sessionId, diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 34693951..430bbc7d 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -8,8 +8,6 @@ import logger from '../../utilities/logger.js'; * * Key Features: * - Loads agent configuration from YAML files (e.g., ganos-lal.yaml, myrddin.yaml) - * - Merges with session-specific config - * - Merges with runtime directives * - Generates system prompts for Claude Agent SDK * - NO filesystem writes - all modifications in memory only */ @@ -17,6 +15,9 @@ export class AgentConfigurationManager { static UNIVERSAL_AGENT_INSTRUCTIONS = `# System Dynamics Modeling Assistant +## CRITICAL: Text Generation +- NEVER use emojis + ## CRITICAL: Model Type Enforcement Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). The model type is set at session initialization and CANNOT be changed. @@ -30,11 +31,9 @@ After ANY tool use that modifies the model (generate_quantitative_model, generat 4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. 5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed. -## CRITICAL: Use Loops that Matter, called LTM for Feedback Loop Analysis -Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. - ## CRITICAL: Feedback Loop Analysis and Model Understanding Make HEAVY use of any tools that provide feedback loop information (such as loop analysis, causal structure analysis, or behavioral mode detection). +Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. **IMPORTANT: Before using discuss_model_with_seldon or generate_ltm_narrative, you MUST:** 1. First call get_feedback_information to retrieve feedback loop analysis data from the client @@ -100,58 +99,10 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio /** * Build system prompt by merging configs */ - buildSystemPrompt(sessionConfig = {}, runtimeDirectives = {}, modelType = null) { - const merged = this.mergeConfigs(this.baseConfig, sessionConfig, runtimeDirectives); + buildSystemPrompt(modelType = null) { + const merged = this.baseConfig; merged.modelType = modelType; - return this.formatSystemPrompt(merged); - } - - /** - * Merge configurations (runtime > session > base) - */ - mergeConfigs(base, session, runtime) { - const merged = { - ...base, - instructions: { - ...base.instructions - }, - toolPolicies: { - ...base.toolPolicies - }, - communication: { - ...base.communication - } - }; - - // Apply session-level overrides - if (session.agentInstructions) { - if (session.agentInstructions.role) { - merged.sessionRole = session.agentInstructions.role; - } - if (session.agentInstructions.constraints) { - merged.sessionConstraints = session.agentInstructions.constraints; - } - if (session.agentInstructions.goals) { - merged.sessionGoals = session.agentInstructions.goals; - } - if (session.agentInstructions.workflowOverrides) { - merged.workflowOverrides = session.agentInstructions.workflowOverrides; - } - } - - if (session.personality) { - merged.communication = { - ...merged.communication, - ...session.personality - }; - } - - // Apply runtime directives - if (runtime.temporaryInstructions) { - merged.runtimeInstructions = runtime.temporaryInstructions; - } - - return merged; + return this.formatSystemPrompt(this.baseConfig); } /** @@ -195,11 +146,11 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio // Tool policies prompt += '\n\n## Tool Usage Policies'; - prompt += '\n' + this.formatToolPolicies(config.toolPolicies); + prompt += '\n' + this.formatToolPolicies(config.tool_policies); // Action sequences prompt += '\n\n## Action Sequences'; - prompt += '\n' + this.formatActionSequences(config.actionSequence, config.workflowOverrides); + prompt += '\n' + this.formatActionSequences(config.action_sequence); // Communication style prompt += '\n\n## Communication Style'; @@ -207,36 +158,12 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio // Error handling prompt += '\n\n## Error Handling'; - prompt += '\n' + this.formatErrorHandling(config.errorHandling); + prompt += '\n' + this.formatErrorHandling(config.error_handling); // Constraints prompt += '\n\n## Constraints'; prompt += '\n' + this.formatConstraints(config.constraints); - // Session goals - if (config.sessionGoals && config.sessionGoals.length > 0) { - prompt += '\n\n## Session Goals'; - config.sessionGoals.forEach(goal => { - prompt += `\n- ${goal}`; - }); - } - - // Session constraints - if (config.sessionConstraints && config.sessionConstraints.length > 0) { - prompt += '\n\n## Session Constraints'; - config.sessionConstraints.forEach(constraint => { - prompt += `\n- ${constraint}`; - }); - } - - // Runtime instructions - if (config.runtimeInstructions && config.runtimeInstructions.length > 0) { - prompt += '\n\n## IMPORTANT: Current Instructions'; - config.runtimeInstructions.forEach(instruction => { - prompt += `\n- ${instruction}`; - }); - } - return prompt; } @@ -271,7 +198,7 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio /** * Format action sequences */ - formatActionSequences(sequences, overrides = {}) { + formatActionSequences(sequences) { const lines = []; // Handle missing or null sequences @@ -280,11 +207,8 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio } for (const [triggerType, steps] of Object.entries(sequences)) { - // Check for workflow overrides - const effectiveSteps = overrides?.[triggerType] || steps; - lines.push(`\n### ${triggerType}`); - effectiveSteps.forEach((step, idx) => { + steps.forEach((step, idx) => { lines.push(`${idx + 1}. **${step.step}**`); if (step.description) { lines.push(` ${step.description}`); @@ -350,23 +274,23 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio return ''; } - if (errorHandling.onToolFailure) { + if (errorHandling.on_tool_failure) { lines.push('**On tool failure:**'); - Object.entries(errorHandling.onToolFailure).forEach(([key, value]) => { + Object.entries(errorHandling.on_tool_failure).forEach(([key, value]) => { lines.push(`- ${key}: ${value}`); }); } - if (errorHandling.onInvalidModel) { + if (errorHandling.on_invalid_model) { lines.push('\n**On invalid model:**'); - Object.entries(errorHandling.onInvalidModel).forEach(([key, value]) => { + Object.entries(errorHandling.on_invalid_model).forEach(([key, value]) => { lines.push(`- ${key}: ${value}`); }); } - if (errorHandling.onSimulationFailure) { + if (errorHandling.on_simulation_failure) { lines.push('\n**On simulation failure:**'); - Object.entries(errorHandling.onSimulationFailure).forEach(([key, value]) => { + Object.entries(errorHandling.on_simulation_failure).forEach(([key, value]) => { lines.push(`- ${key}: ${value}`); }); } @@ -380,20 +304,20 @@ ALWAYS share feedback loop information with Seldon when discussing model behavio formatConstraints(constraints) { const lines = []; - if (constraints.maxModelComplexity) { + if (constraints.max_model_complexity) { lines.push('**Maximum model complexity:**'); - Object.entries(constraints.maxModelComplexity).forEach(([key, value]) => { + Object.entries(constraints.max_model_complexity).forEach(([key, value]) => { lines.push(`- ${key}: ${value}`); }); } - if (constraints.requireDocumentation) { + if (constraints.require_documentation) { lines.push('- All variables must have documentation'); } - if (constraints.enforceUnits) { + if (constraints.enforce_units) { lines.push('- All variables must have units'); } - if (constraints.validateEquations) { + if (constraints.validate_equations) { lines.push('- All equations must be validated'); } diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index b0464c54..61313ab6 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -40,33 +40,27 @@ export const ToolDefinitionSchema = z.object({ export const InitializeSessionMessageSchema = z.object({ type: z.literal('initialize_session'), sessionId: z.string().optional(), + authenticationKey: z.string().describe('Authentication key for server access'), + clientProduct: z.string().describe('Client product name (e.g., "sd-web", "sd-desktop")'), + clientVersion: z.string().describe('Client version (e.g., "1.0.0")'), modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), model: SDModelSchema, tools: z.array(ToolDefinitionSchema), - sessionConfig: z.object({ - agentInstructions: z.object({ - role: z.string().optional(), - constraints: z.array(z.string()).optional(), - goals: z.array(z.string()).optional(), - workflowOverrides: z.record(z.any()).optional() - }).optional(), - personality: z.object({ - tone: z.string().optional(), - verbosity: z.enum(['low', 'medium', 'high']).optional() - }).optional() - }).optional(), context: z.record(z.any()).optional(), timestamp: z.string().optional() }); +export const SelectAgentMessageSchema = z.object({ + type: z.literal('select_agent'), + sessionId: z.string(), + agentId: z.string().describe('Agent ID to use (e.g., "myrddin", "ganos-lal")'), + timestamp: z.string().optional() +}); + export const ChatMessageSchema = z.object({ type: z.literal('chat'), sessionId: z.string(), message: z.string(), - directives: z.object({ - temporaryInstructions: z.array(z.string()).optional(), - scope: z.string().optional() - }).optional(), timestamp: z.string().optional() }); @@ -94,6 +88,7 @@ export const DisconnectMessageSchema = z.object({ export const ClientMessageSchema = z.discriminatedUnion('type', [ InitializeSessionMessageSchema, + SelectAgentMessageSchema, ChatMessageSchema, ToolCallResponseMessageSchema, ModelUpdatedNotificationSchema, @@ -113,10 +108,19 @@ export const SessionCreatedMessageSchema = z.object({ export const SessionReadyMessageSchema = z.object({ type: z.literal('session_ready'), sessionId: z.string(), - agentCapabilities: z.object({ - builtInTools: z.array(z.string()), - clientTools: z.array(z.string()) - }), + availableAgents: z.array(z.object({ + id: z.string(), + name: z.string(), + description: z.string() + })), + timestamp: z.string().optional() +}); + +export const AgentSelectedMessageSchema = z.object({ + type: z.literal('agent_selected'), + sessionId: z.string(), + agentId: z.string(), + agentName: z.string(), timestamp: z.string().optional() }); @@ -128,13 +132,13 @@ export const AgentTextMessageSchema = z.object({ timestamp: z.string().optional() }); -export const ToolCallInitiatedMessageSchema = z.object({ - type: z.literal('tool_call_initiated'), +export const ToolCallNotificationMessageSchema = z.object({ + type: z.literal('tool_call_notification'), sessionId: z.string(), callId: z.string(), toolName: z.string(), arguments: z.record(z.any()), - isBuiltIn: z.boolean(), + isBuiltIn: z.boolean().describe('Whether this is a built-in tool (true) or client tool (false)'), timestamp: z.string().optional() }); @@ -144,7 +148,7 @@ export const ToolCallRequestMessageSchema = z.object({ callId: z.string(), toolName: z.string(), arguments: z.record(z.any()), - timeout: z.number().optional().default(30000), + timeout: z.number().optional().default(30000).describe('Timeout for client tool execution in milliseconds'), timestamp: z.string().optional() }); @@ -222,15 +226,26 @@ export const ShowIntermediateModelMessageSchema = z.object({ timestamp: z.string().optional() }); +export const FeedbackRequestMessageSchema = z.object({ + type: z.literal('feedback_request'), + sessionId: z.string(), + requestId: z.string(), + runId: z.string().optional().describe('Simulation run ID for single-run feedback'), + comparative: z.boolean().optional().default(false).describe('Whether to request comparative feedback for all runs'), + timestamp: z.string().optional() +}); + export const ServerMessageSchema = z.discriminatedUnion('type', [ SessionCreatedMessageSchema, SessionReadyMessageSchema, + AgentSelectedMessageSchema, AgentTextMessageSchema, - ToolCallInitiatedMessageSchema, + ToolCallNotificationMessageSchema, ToolCallRequestMessageSchema, ToolCallCompletedMessageSchema, VisualizationMessageSchema, ShowIntermediateModelMessageSchema, + FeedbackRequestMessageSchema, AgentCompleteMessageSchema, ErrorMessageSchema ]); @@ -281,11 +296,21 @@ export function createSessionCreatedMessage(sessionId) { }; } -export function createSessionReadyMessage(sessionId, capabilities) { +export function createSessionReadyMessage(sessionId, availableAgents) { return { type: 'session_ready', sessionId, - agentCapabilities: capabilities, + availableAgents, + timestamp: new Date().toISOString() + }; +} + +export function createAgentSelectedMessage(sessionId, agentId, agentName) { + return { + type: 'agent_selected', + sessionId, + agentId, + agentName, timestamp: new Date().toISOString() }; } @@ -300,9 +325,9 @@ export function createAgentTextMessage(sessionId, content, isThinking = false) { }; } -export function createToolCallInitiatedMessage(sessionId, callId, toolName, args, isBuiltIn) { +export function createToolCallNotificationMessage(sessionId, callId, toolName, args, isBuiltIn) { return { - type: 'tool_call_initiated', + type: 'tool_call_notification', sessionId, callId, toolName, @@ -384,3 +409,14 @@ export function createShowIntermediateModelMessage(sessionId, modelType, model, timestamp: new Date().toISOString() }; } + +export function createFeedbackRequestMessage(sessionId, requestId, runId = null, comparative = false) { + return { + type: 'feedback_request', + sessionId, + requestId, + ...(runId && { runId }), + comparative, + timestamp: new Date().toISOString() + }; +} diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index c6145c4a..d5e98691 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -85,9 +85,6 @@ export class SessionManager { // Agent conversation context (for Claude Agent SDK) conversationContext: [], - // Runtime configuration - runtimeDirectives: {}, - // Usage metrics (anonymous) messageCount: 0, toolCallCount: 0 @@ -112,9 +109,9 @@ export class SessionManager { } /** - * Initialize a session with model, tools, and config + * Initialize a session with model and tools */ - initializeSession(sessionId, modelType, model, tools, sessionConfig, context) { + initializeSession(sessionId, modelType, model, tools, context) { const session = this.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); @@ -133,7 +130,6 @@ export class SessionManager { session.clientModel = model; session.registeredTools = tools; - session.sessionConfig = sessionConfig; session.context = context || {}; logger.log(`Session initialized: ${sessionId} with modelType=${modelType} and ${tools.length} client tools`); @@ -245,24 +241,6 @@ export class SessionManager { return session?.pendingToolCalls.get(callId); } - /** - * Set runtime directives - */ - setRuntimeDirectives(sessionId, directives) { - const session = this.getSession(sessionId); - if (session) { - session.runtimeDirectives = directives; - } - } - - /** - * Get runtime directives - */ - getRuntimeDirectives(sessionId) { - const session = this.getSession(sessionId); - return session?.runtimeDirectives || {}; - } - /** * Delete a session and cleanup resources */ diff --git a/agent/websocket.js b/agent/websocket.js index 1f37e56d..1db68878 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -3,16 +3,55 @@ import { validateClientMessage, createSessionCreatedMessage, createSessionReadyMessage, + createAgentSelectedMessage, + createAgentTextMessage, createErrorMessage } from './utilities/MessageProtocol.js'; import { join } from 'path'; import { fileURLToPath } from 'url'; import { dirname } from 'path'; +import { readdirSync, readFileSync } from 'fs'; +import yaml from 'js-yaml'; import logger from '../utilities/logger.js'; +import utils from '../utilities/utils.js'; const __filename = fileURLToPath(import.meta.url); const __dirname = dirname(__filename); +/** + * Scan the config directory and return available agents + */ +function getAvailableAgents() { + const configDir = join(__dirname, 'config'); + const agents = []; + + try { + const files = readdirSync(configDir).filter(f => f.endsWith('.yaml')); + + for (const file of files) { + try { + const content = readFileSync(join(configDir, file), 'utf8'); + const config = yaml.load(content); + + if (config?.agent) { + agents.push({ + id: file.replace('.yaml', ''), + name: config.agent.name || file.replace('.yaml', ''), + supports: config.agent.supports || [], + description: config.agent.description || '' + }); + } + } catch (err) { + logger.warn(`Failed to load agent config from ${file}:`, err.message); + } + } + } catch (err) { + logger.error('Failed to scan agent config directory:', err); + } + + return agents; +} + /** * Handle WebSocket connection * Sets up message handlers and manages agent lifecycle @@ -69,6 +108,10 @@ export function handleWebSocketConnection(ws, sessionManager) { await handleInitializeSession(message); break; + case 'select_agent': + await handleSelectAgent(message); + break; + case 'chat': await handleChat(message); break; @@ -108,24 +151,67 @@ export function handleWebSocketConnection(ws, sessionManager) { // Handle initialize_session async function handleInitializeSession(message) { try { + // Validate authentication key + const authenticationKey = process.env.AUTHENTICATION_KEY; + if (authenticationKey) { + const expectedAuthKey = process.env.AUTHENTICATION_KEY; + if (!expectedAuthKey || message.authenticationKey !== expectedAuthKey) { + ws.close(1008, 'Unauthorized, please pass valid Authentication key.'); + return; + } + } + + // Validate client product and version + if (!utils.supportedPlatform(message.clientProduct, message.clientVersion)) { + ws.close(1008, 'Your client application is not currently supported.'); + return; + } + // Validate model type if (!message.modelType || !['cld', 'sfd'].includes(message.modelType)) { throw new Error('Invalid or missing modelType. Must be "cld" or "sfd".'); } - // Initialize session with model type, model, tools, and config + // Initialize session with model type, model, tools, and context sessionManager.initializeSession( sessionId, message.modelType, message.model, message.tools, - message.sessionConfig, message.context ); - // Get agent ID from session config, default to myrddin - const agentId = message.sessionConfig?.agentId || 'myrddin'; - const configPath = join(__dirname, 'config', `${agentId}.yaml`); + // Get available agents from config directory + const availableAgents = getAvailableAgents(); + + // Send session ready with available agents + await sendToClient(createSessionReadyMessage(sessionId, availableAgents)); + + logger.log(`Session initialized: ${sessionId}`); + } catch (error) { + logger.error(`Failed to initialize session ${sessionId}:`, error); + await sendToClient(createErrorMessage( + sessionId, + `Initialization failed: ${error.message}`, + 'INITIALIZATION_ERROR', + false + )); + } + } + + // Handle select_agent + async function handleSelectAgent(message) { + try { + // Validate that the agent exists + const availableAgents = getAvailableAgents(); + const selectedAgent = availableAgents.find(agent => agent.id === message.agentId); + + if (!selectedAgent) { + throw new Error(`Agent '${message.agentId}' not found. Available agents: ${availableAgents.map(a => a.id).join(', ')}`); + } + + // Get the agent config path + const configPath = join(__dirname, 'config', `${message.agentId}.yaml`); // Create agent orchestrator orchestrator = new AgentOrchestrator( @@ -135,22 +221,22 @@ export function handleWebSocketConnection(ws, sessionManager) { configPath ); - // Initialize tools - orchestrator.initializeTools(message.tools); + // Get session to access tools + const session = sessionManager.getSession(sessionId); - // Get capabilities - const capabilities = orchestrator.getAgentCapabilities(); + // Send agent selected message + await sendToClient(createAgentSelectedMessage(sessionId, selectedAgent.id, selectedAgent.name)); - // Send session ready - await sendToClient(createSessionReadyMessage(sessionId, capabilities)); + // Send initial greeting message + await sendToClient(createAgentTextMessage(sessionId, 'What can I do for you today?', false)); - logger.log(`Session initialized: ${sessionId}`); + logger.log(`Agent selected: ${message.agentId} for session ${sessionId}`); } catch (error) { - logger.error(`Failed to initialize session ${sessionId}:`, error); + logger.error(`Failed to select agent for session ${sessionId}:`, error); await sendToClient(createErrorMessage( sessionId, - `Initialization failed: ${error.message}`, - 'INITIALIZATION_ERROR', + `Agent selection failed: ${error.message}`, + 'AGENT_SELECTION_ERROR', false )); } @@ -163,16 +249,10 @@ export function handleWebSocketConnection(ws, sessionManager) { throw new Error('Session not initialized. Send initialize_session first.'); } - // Set runtime directives if present - if (message.directives) { - orchestrator.setRuntimeDirectives(message.directives); - } - // Start conversation const session = sessionManager.getSession(sessionId); await orchestrator.startConversation( - message.message, - session.sessionConfig + message.message ); } catch (error) { diff --git a/tests/agent/AgentConfigurationManager.test.js b/tests/agent/AgentConfigurationManager.test.js index 8f15d98f..6af79034 100644 --- a/tests/agent/AgentConfigurationManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -29,11 +29,9 @@ describe('AgentConfigurationManager', () => { describe('buildSystemPrompt', () => { it('should build system prompt with model type context', () => { - const sessionConfig = {}; - const runtimeDirectives = ''; const modelType = 'cld'; - const prompt = configManager.buildSystemPrompt(sessionConfig, runtimeDirectives, modelType); + const prompt = configManager.buildSystemPrompt(modelType); expect(prompt).toContain('Ganos Lal'); expect(prompt).toContain('CLD'); @@ -41,65 +39,10 @@ describe('AgentConfigurationManager', () => { }); it('should include SFD context when model type is sfd', () => { - const prompt = configManager.buildSystemPrompt({}, '', 'sfd'); + const prompt = configManager.buildSystemPrompt('sfd'); expect(prompt).toContain('SFD'); expect(prompt).toContain('Stock Flow Diagram'); }); - - it('should include runtime directives when provided', () => { - const directives = { temporaryInstructions: ['Use metric units only'] }; - const prompt = configManager.buildSystemPrompt({}, directives, 'cld'); - - expect(prompt).toContain('Use metric units only'); - }); - - it('should include instructions from config', () => { - const prompt = configManager.buildSystemPrompt({}, '', 'cld'); - - expect(prompt).toContain('patient'); - expect(prompt).toContain('mentor'); - }); - - it('should include tool policies from config', () => { - const prompt = configManager.buildSystemPrompt({}, '', 'cld'); - - expect(prompt).toContain('discuss_with_mentor'); - }); - }); - - describe('agent configurations', () => { - it('should load Myrddin config correctly', () => { - const configPath = path.join(__dirname, '../../agent/config/myrddin.yaml'); - const myrddinConfig = new AgentConfigurationManager(configPath); - - expect(myrddinConfig.config.agent.name).toBe('Myrddin'); - expect(myrddinConfig.config.agent.description).toContain('Expert Modeler'); - }); - - it('should have different constraints for different agents', () => { - const ganosConfig = configManager; - const myrConfig = new AgentConfigurationManager(path.join(__dirname, '../../agent/config/myrddin.yaml')); - - const ganosPrompt = ganosConfig.buildSystemPrompt({}, {}, 'sfd'); - const myrPrompt = myrConfig.buildSystemPrompt({}, {}, 'sfd'); - - // Ganos is patient mentor - expect(ganosPrompt).toContain('Ganos Lal'); - expect(ganosPrompt).toContain('patient'); - - // Myrddin is expert modeler - expect(myrPrompt).toContain('Myrddin'); - expect(myrPrompt).toContain('efficient'); - }); - }); - - describe('model type enforcement', () => { - it('should include model type rules in system prompt', () => { - const prompt = configManager.buildSystemPrompt({}, '', 'cld'); - - expect(prompt).toContain('CRITICAL MODEL TYPE RULES'); - expect(prompt).toContain('CANNOT be changed'); - }); }); }); diff --git a/tests/agent/MessageProtocol.test.js b/tests/agent/MessageProtocol.test.js index ee94ebe7..b74d7c0e 100644 --- a/tests/agent/MessageProtocol.test.js +++ b/tests/agent/MessageProtocol.test.js @@ -4,7 +4,7 @@ import { ChatMessageSchema, ModelUpdatedNotificationSchema, createAgentTextMessage, - createToolCallInitiatedMessage, + createToolCallNotificationMessage, createToolCallCompletedMessage, createAgentCompleteMessage, createErrorMessage, @@ -52,7 +52,9 @@ describe('MessageProtocol', () => { it('should validate valid initialization message', () => { const message = { type: 'initialize_session', - sessionId: 'test-123', + authenticationKey: 'test-key', + clientProduct: 'sd-web', + clientVersion: '1.0.0', modelType: 'cld', model: { variables: [] }, tools: [] @@ -65,7 +67,9 @@ describe('MessageProtocol', () => { it('should require modelType to be cld or sfd', () => { const message = { type: 'initialize_session', - sessionId: 'test-123', + authenticationKey: 'test-key', + clientProduct: 'sd-web', + clientVersion: '1.0.0', modelType: 'invalid', model: {}, tools: [] @@ -75,18 +79,15 @@ describe('MessageProtocol', () => { expect(result.success).toBe(false); }); - it('should allow optional sessionConfig and context', () => { + it('should allow optional context', () => { const message = { type: 'initialize_session', - sessionId: 'test-123', + authenticationKey: 'test-key', + clientProduct: 'sd-web', + clientVersion: '1.0.0', modelType: 'sfd', model: {}, tools: [], - sessionConfig: { - agentInstructions: { - role: 'expert' - } - }, context: { description: 'This is test context' } }; @@ -142,8 +143,8 @@ describe('MessageProtocol', () => { expect(message.isThinking).toBe(false); }); - it('should create tool call initiated message', () => { - const message = createToolCallInitiatedMessage( + it('should create tool call notification message', () => { + const message = createToolCallNotificationMessage( 'session-1', 'call-123', 'generate_quantitative_model', @@ -151,7 +152,7 @@ describe('MessageProtocol', () => { true ); - expect(message.type).toBe('tool_call_initiated'); + expect(message.type).toBe('tool_call_notification'); expect(message.callId).toBe('call-123'); expect(message.toolName).toBe('generate_quantitative_model'); expect(message.isBuiltIn).toBe(true); @@ -189,14 +190,16 @@ describe('MessageProtocol', () => { }); it('should create session ready message', () => { - const message = createSessionReadyMessage('session-1', { - builtInTools: ['generate_quantitative_model'], - clientTools: ['get_current_model'] - }); + const availableAgents = [ + { id: 'ganos-lal', name: 'Ganos Lal', description: 'Helpful mentor' }, + { id: 'myrddin', name: 'Myrddin', description: 'Expert modeler' } + ]; + const message = createSessionReadyMessage('session-1', availableAgents); expect(message.type).toBe('session_ready'); - expect(message.agentCapabilities.builtInTools).toHaveLength(1); - expect(message.agentCapabilities.clientTools).toHaveLength(1); + expect(message.sessionId).toBe('session-1'); + expect(message.availableAgents).toHaveLength(2); + expect(message.availableAgents[0].id).toBe('ganos-lal'); }); }); }); diff --git a/tests/agent/SessionManager.test.js b/tests/agent/SessionManager.test.js index 897bb389..1f182b1d 100644 --- a/tests/agent/SessionManager.test.js +++ b/tests/agent/SessionManager.test.js @@ -19,17 +19,16 @@ describe('SessionManager', () => { const modelType = 'cld'; const model = { variables: [], relationships: [] }; const tools = []; - const sessionConfig = {}; - const context = 'Test context'; + const context = { description: 'Test context' }; const sessionId = sessionManager.createSession(null); // null WebSocket for testing - sessionManager.initializeSession(sessionId, modelType, model, tools, sessionConfig, context); + sessionManager.initializeSession(sessionId, modelType, model, tools, context); const session = sessionManager.getSession(sessionId); expect(session).toBeDefined(); expect(session.modelType).toBe('cld'); expect(session.clientModel).toEqual(model); - expect(session.context).toBe(context); + expect(session.context).toEqual(context); expect(session.conversationContext).toEqual([]); }); @@ -133,28 +132,6 @@ describe('SessionManager', () => { }); }); - describe('runtime directives', () => { - let testSessionId; - - beforeEach(() => { - testSessionId = sessionManager.createSession(null); - sessionManager.initializeSession(testSessionId, 'sfd', {}, [], {}, ''); - }); - - it('should set and get runtime directives', () => { - const directives = 'Use metric units'; - sessionManager.setRuntimeDirectives(testSessionId, directives); - - const retrieved = sessionManager.getRuntimeDirectives(testSessionId); - expect(retrieved).toBe(directives); - }); - - it('should return empty object if no directives set', () => { - const retrieved = sessionManager.getRuntimeDirectives(testSessionId); - expect(retrieved).toEqual({}); - }); - }); - describe('deleteSession', () => { it('should remove session and clean up temp folder', () => { const sessionId = sessionManager.createSession(null); From 4f1391ae9d3fc84fc32e19753b1806bd32f525b6 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 16 Apr 2026 09:46:03 -0400 Subject: [PATCH 004/226] cleaning up the visualization engine --- agent/README.md | 106 ++---- agent/config/ganos-lal.yaml | 67 +++- agent/test-client.html | 170 ++++++++- agent/tools/BuiltInTools.js | 23 +- agent/utilities/AgentConfigurationManager.js | 12 + agent/utilities/VisualizationEngine.js | 360 ++----------------- 6 files changed, 309 insertions(+), 429 deletions(-) diff --git a/agent/README.md b/agent/README.md index 125c7a1b..adb989a8 100644 --- a/agent/README.md +++ b/agent/README.md @@ -34,14 +34,13 @@ The **server** maintains (in-memory only): ### Model Type Enforcement -**CRITICAL:** Each session works with ONE model type that cannot be changed: +Each session works with ONE model type that cannot be changed: - **CLD** (Causal Loop Diagram) - Conceptual models with feedback loops - **SFD** (Stock Flow Diagram) - Quantitative models with stocks, flows, and equations The model type is declared at session initialization and enforced throughout: - Agent will only use tools appropriate for that model type - If building an SFD requires a conceptual CLD first, the CLD will be shown in a separate window -- Prevents confusion and maintains workflow consistency ### Message Flow @@ -61,14 +60,6 @@ Client ← WebSocket → Server ← Tools → SD-AI Engines ws://localhost:3000/api/v1/agent ``` -### HTTP Monitoring - -``` -GET /api/v1/agent/stats -``` - -Returns active session statistics, memory usage, and temp folder info. - ## WebSocket Protocol ### Connection Flow @@ -393,7 +384,7 @@ Sent after a tool completes execution (built-in or client tool). #### 8. Visualization -Sends visualization data to the client (Plotly or image format). +Sends visualization data to the client as base64 encoded PNG images. ```json { @@ -402,22 +393,8 @@ Sends visualization data to the client (Plotly or image format). "visualizationId": "viz_12345", "title": "Population Growth Over Time", "description": "Shows exponential growth pattern", - "format": "plotly", - "data": { - "data": [ - { - "x": [0, 1, 2, 3, 4, 5], - "y": [100, 105, 110, 116, 122, 128], - "type": "scatter", - "name": "Population" - } - ], - "layout": { - "title": "Population Growth", - "xaxis": { "title": "Time" }, - "yaxis": { "title": "Population" } - } - }, + "format": "image", + "data": "iVBORw0KGgoAAAANSUhEUgAAA...", "metadata": { "createdBy": "generate_quantitative_model", "variables": ["Population"] @@ -426,9 +403,9 @@ Sends visualization data to the client (Plotly or image format). } ``` -**Formats:** -- `"plotly"` - Plotly JSON specification -- `"image"` - Base64-encoded image with metadata +**Format:** +- All visualizations are returned as base64-encoded PNG images +- The `data` field contains the base64 string directly #### 9. Show Intermediate Model @@ -711,8 +688,8 @@ The agent has access to these SD-AI engine tools: ### Visualization 8. **create_visualization** - Create charts and plots - - Plotly-based interactive visualizations - - Python/matplotlib for custom charts + - Returns base64-encoded PNG images only + - Python/matplotlib for all visualizations - AI-generated custom visualization code ## Agent Configuration @@ -754,11 +731,11 @@ toolPolicies: ## Visualization System -The agent can create visualizations using three modes: +The agent creates visualizations using Python/matplotlib and always returns base64-encoded PNG images. -### 1. Plotly (Default) +### 1. Template-Based Visualizations (Default) -Generates Plotly JSON specifications (no temp files). +Generates Python scripts using predefined templates for common visualization types. ```javascript { @@ -768,19 +745,12 @@ Generates Plotly JSON specifications (no temp files). } ``` -### 2. Python/Matplotlib Templates +**Supported types:** +- `time_series` - Time series line plots +- `phase_portrait` - Phase space diagrams +- `comparison` - Compare runs side-by-side -Generates Python scripts using predefined templates. - -```javascript -{ - type: 'time_series', - variables: ['Population'], - usePython: true -} -``` - -### 3. AI-Custom Visualizations +### 2. AI-Custom Visualizations Uses AI to write custom Python/matplotlib code for unique requirements. @@ -799,6 +769,10 @@ Uses AI to write custom Python/matplotlib code for unique requirements. - Files deleted immediately after visualization creation - Folder cleaned up on session disconnect +**Output:** +- All visualizations return base64-encoded PNG strings +- No JSON specs or other formats - images only + ## Example Client Implementation ### JavaScript/Node.js @@ -980,47 +954,9 @@ npm start WebSocket server available at: `ws://localhost:3000/api/v1/agent` -### Monitoring - -```bash -curl http://localhost:3000/api/v1/agent/stats -``` - -Shows: -- Active sessions -- Total messages/tool calls -- Temp folder sizes -- Memory usage ### Testing Use the included test client: `agent/test-client.html` Open in a browser and connect to test all message types. - -## Dependencies - -### Node.js Dependencies - -```bash -npm install -``` - -Key packages: -- `@anthropic-ai/sdk` - Claude API -- `ws` - WebSocket server -- `zod` - Schema validation -- `js-yaml` - YAML config parsing -- All existing SD-AI dependencies - -### Python Dependencies (for Visualizations) - -```bash -pip install matplotlib numpy -``` - -These are likely already installed if PySD is working. - -## License - -Same as main SD-AI project. diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml index 5b608cae..0686b495 100644 --- a/agent/config/ganos-lal.yaml +++ b/agent/config/ganos-lal.yaml @@ -33,6 +33,11 @@ agent: 8. Keep models simple and educational unless the user specifically requests otherwise 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! 10. NEVER rush to build - spend time exploring the problem space with questions + 11. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models + - First call get_run_data to get time series data for key variables + - Then call create_visualization to generate charts + - Users learn better when they can SEE the model behavior + - Visualizations make abstract feedback loops concrete and observable modeling_workflow: | When helping users build models, follow this SLOW, DELIBERATE process: @@ -80,16 +85,22 @@ agent: - Focus on what they specified - Keep equations simple and explainable - 7. BUILD UNDERSTANDING: Run simulations and discuss behavior - - "What do you notice about this behavior?" - - "Does this match what you expected?" - - "What might be causing this pattern?" + 7. VISUALIZE AND BUILD UNDERSTANDING: Run simulations and show visualizations + - Usually run simulation after building/updating models + - Usually create visualization using get_run_data and create_visualization + - Show the behavior graphically to support learning + - Ask: "What do you notice about this behavior?" + - Ask: "Does this match what you expected?" + - Ask: "What might be causing this pattern?" + - Use visualizations to ground the discussion in observable behavior 8. ITERATE THOUGHTFULLY: Only add complexity when needed - "Should we explore this aspect in more detail?" - "What other factors might be important?" + - After changes, generally visualize again to show impact REMEMBER: The questioning and dialogue (steps 1-5) should take significantly longer than the building (step 6). + CRITICAL: Always visualize model behavior after creation or updates - users need to SEE what the model does! modification_workflow: | When modifying existing models: @@ -184,8 +195,22 @@ agent: description: "Ask user what they think of the model before proceeding" always_execute: true - - step: "encourage_simple_testing" - description: "Suggest running model with default parameters first" + - step: "run_initial_simulation" + description: "Run the model with default parameters to show initial behavior" + tools: ["run_model", "get_run_data"] + always_execute: true + + - step: "visualize_initial_behavior" + description: "Create visualization to show model behavior" + tools: ["create_visualization"] + always_execute: true + parameters: + type: "time_series" + + - step: "discuss_behavior" + description: "Help user understand what they're seeing in the visualization" + tools: ["discuss_model_with_seldon"] + always_execute: true on_modification_request: - step: "inspect_current_model" @@ -204,12 +229,25 @@ agent: - step: "reflect_on_changes" description: "Ask how the user thinks the change will affect behavior" - on_simulation_request: - - step: "predict_behavior" - description: "Ask user to predict what will happen before running" + - step: "run_updated_simulation" + description: "Run simulation to show updated model behavior" + tools: ["run_model", "get_run_data"] + always_execute: true + + - step: "visualize_updated_behavior" + description: "Create visualization to show how changes affected behavior" + tools: ["create_visualization"] + always_execute: true + parameters: + type: "time_series" + + - step: "discuss_changes" + description: "Help user understand how their changes affected the model" + always_execute: true + on_simulation_request: - step: "run_simulation" - tools: ["run_model"] + tools: ["run_model", "get_run_data"] - step: "create_simple_visualization" tools: ["create_visualization"] @@ -274,8 +312,15 @@ agent: when_to_use: "For CLD models and conceptual exploration" create_visualization: - when_to_use: "After every simulation to support learning" + when_to_use: "After every simulation and model update to support learning - show visualizations to help users understand behavior" default_type: "time_series" + always_execute: true + priority: "high" + + get_run_data: + when_to_use: "Before creating visualizations to get time series data for specific variables" + frequency: "Every time before create_visualization" + always_execute: true communication: style: "warm, patient, curious, Socratic" diff --git a/agent/test-client.html b/agent/test-client.html index cc4e493c..4652edec 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -231,6 +231,38 @@ .full-width { grid-column: 1 / -1; } + + .visualization-item { + background: white; + border: 1px solid #ddd; + border-radius: 4px; + padding: 10px; + margin-bottom: 10px; + overflow: hidden; + max-width: 100%; + } + + .visualization-item h3 { + font-size: 14px; + margin-bottom: 8px; + color: #2c3e50; + } + + .visualization-item img { + max-width: 100%; + width: 100%; + height: auto; + border-radius: 4px; + border: 1px solid #e0e0e0; + display: block; + object-fit: contain; + } + + .visualization-meta { + font-size: 12px; + color: #7f8c8d; + margin-top: 5px; + } @@ -306,10 +338,21 @@

Model Data

- +
+ + +
+

Visualizations

+
+ Base64-encoded PNG images from create_visualization tool +
+
+

No visualizations yet

+
+
@@ -485,7 +528,7 @@

Model Data

break; case 'visualization': - log('Received visualization'); + handleVisualization(message); break; case 'feedback_request': @@ -574,6 +617,66 @@

Model Data

} } + function handleVisualization(message) { + const { visualizationId, title, description, format, data, metadata } = message; + log(`📊 Visualization received: ${title || visualizationId}`); + + const visualizationsContainer = document.getElementById('visualizations'); + + // Remove "no visualizations" message if present + if (visualizationsContainer.querySelector('p')) { + visualizationsContainer.innerHTML = ''; + } + + // Create visualization item + const vizItem = document.createElement('div'); + vizItem.className = 'visualization-item'; + vizItem.id = `viz-${visualizationId}`; + + // Add title + const titleEl = document.createElement('h3'); + titleEl.textContent = title || `Visualization ${visualizationId}`; + vizItem.appendChild(titleEl); + + // Add description if present + if (description) { + const descEl = document.createElement('p'); + descEl.textContent = description; + descEl.style.fontSize = '13px'; + descEl.style.marginBottom = '10px'; + vizItem.appendChild(descEl); + } + + // Display the image + if (format === 'image' && data) { + const img = document.createElement('img'); + img.src = `data:image/png;base64,${data}`; + img.alt = title || 'Visualization'; + vizItem.appendChild(img); + } else { + const errorMsg = document.createElement('p'); + errorMsg.textContent = 'Unsupported visualization format or missing data'; + errorMsg.style.color = '#e74c3c'; + vizItem.appendChild(errorMsg); + } + + // Add metadata + if (metadata) { + const metaEl = document.createElement('div'); + metaEl.className = 'visualization-meta'; + const metaParts = []; + if (metadata.createdBy) metaParts.push(`Created by: ${metadata.createdBy}`); + if (metadata.variables) metaParts.push(`Variables: ${metadata.variables.join(', ')}`); + metaEl.textContent = metaParts.join(' | '); + vizItem.appendChild(metaEl); + } + + // Add to container (prepend to show newest first) + visualizationsContainer.insertBefore(vizItem, visualizationsContainer.firstChild); + + log(`✓ Visualization "${title}" displayed`, 'received'); + } + function handleFeedbackRequest(message) { const { requestId, runId, comparative } = message; log(`Feedback request received for ${comparative ? 'all runs (comparative)' : `runId: ${runId || 'latest'}`}`); @@ -732,7 +835,7 @@

Model Data

case 'run_model': // Generate dummy simulation data based on current model const variables = currentModel.variables || []; - const timePoints = 20; + const timePoints = 100; const series = []; for (let t = 0; t <= timePoints; t++) { @@ -740,7 +843,7 @@

Model Data

// Add dummy data for each variable in the model variables.forEach(variable => { const varName = variable.name || variable.id || `var_${Math.random()}`; - // Generate some variety in the data + // Generate some variety in the data with more realistic patterns if (variable.type === 'stock') { point[varName] = 1000 + t * 20 + Math.sin(t / 3) * 50; } else if (variable.type === 'flow') { @@ -757,6 +860,46 @@

Model Data

results: { series } }; + case 'get_run_data': + // Generate random test data for requested variables + const requestedVariables = toolInput.variables || []; + const numPoints = 100; + + // Generate time array + const timeArray = []; + for (let i = 0; i <= numPoints; i++) { + timeArray.push(i); + } + + // Generate random data for each requested variable + const result = { + success: true, + runId: toolInput.runId || 'latest', + time: timeArray + }; + + requestedVariables.forEach(varName => { + const data = []; + const baseValue = Math.random() * 1000 + 100; // Random base between 100-1100 + const trend = (Math.random() - 0.5) * 10; // Random trend -5 to +5 + const amplitude = Math.random() * 100 + 20; // Random amplitude 20-120 + const frequency = Math.random() * 0.3 + 0.1; // Random frequency 0.1-0.4 + + for (let t = 0; t <= numPoints; t++) { + // Generate realistic-looking time series with trend + oscillation + noise + const trendComponent = trend * t; + const oscillation = amplitude * Math.sin(frequency * t); + const noise = (Math.random() - 0.5) * 20; + const value = Math.max(0, baseValue + trendComponent + oscillation + noise); + data.push(value); + } + + result[varName] = data; + }); + + log(`✓ Generated random data for: ${requestedVariables.join(', ')}`, 'received'); + return result; + case 'show_intermediate_model': log('Mock: Intermediate model shown in separate window'); return { success: true }; @@ -805,6 +948,25 @@

Model Data

} } }, + { + name: 'get_run_data', + description: 'Get time series data for specific variables from a simulation run', + inputSchema: { + type: 'object', + properties: { + runId: { + type: 'string', + description: 'The ID of the simulation run (optional, defaults to latest run)' + }, + variables: { + type: 'array', + items: { type: 'string' }, + description: 'Array of variable names to retrieve data for' + } + }, + required: ['variables'] + } + }, { name: 'show_intermediate_model', description: 'Show intermediate model in separate window', diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index 19cebce4..4f6439c3 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -531,12 +531,23 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu visualizationGoal }; - let vizMessage; - if (useAICustom) { - vizMessage = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); - } else { - vizMessage = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); - } + // VisualizationEngine now returns just base64 image string + const base64Image = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); + + // Generate visualization ID + const visualizationId = `viz_${Date.now()}_${Math.random().toString(36).substring(7)}`; + + // Wrap base64 string in proper visualization message object + const vizMessage = { + visualizationId, + title: title || 'Visualization', + description: description || '', + format: 'image', + data: { + base64: base64Image, + mimeType: 'image/png' + } + }; // Send visualization to client await sendToClient({ diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 430bbc7d..cfb01d6a 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -23,6 +23,18 @@ Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD The model type is set at session initialization and CANNOT be changed. NEVER switch between CLD and SFD during a session. +## CRITICAL: CLD vs SFD - Behavior and Visualization +**CLDs (Causal Loop Diagrams) are QUALITATIVE ONLY:** +- CLDs show causal structure and feedback loops but have NO quantitative behavior +- NEVER run simulations on CLDs (no run_model, no get_run_data) +- NEVER create visualizations for CLDs (no create_visualization) +- CLDs are for conceptual exploration and understanding causal relationships only +- CLDs help identify feedback loop structure before building quantitative models + +**SFDs (Stock Flow Diagrams) are QUANTITATIVE:** +- SFDs have equations and can be simulated to produce time series behavior +- Use run_model, get_run_data, and create_visualization for SFDs only + ## CRITICAL: Automatic Model Validation After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST: 1. Immediately use get_current_model to retrieve the updated model diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index bb5a9de1..2cd4166e 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -6,11 +6,12 @@ import { LLMWrapper } from '../../utilities/LLMWrapper.js'; /** * VisualizationEngine - * Creates visualizations using Plotly (default) or Python/matplotlib + * Creates visualizations using Python/matplotlib * * Key Features: - * - Plotly JSON specs (no temp files needed) - * - Python/matplotlib for advanced visualizations + * - Always returns base64 encoded PNG images + * - Python/matplotlib for template-based visualizations + * - AI-generated custom Python code for unique requirements * - Session-specific temp folder management * - Automatic cleanup after visualization creation */ @@ -33,23 +34,20 @@ export class VisualizationEngine { } /** - * Create visualization (delegates to Plotly, Python, or AI-custom) + * Create visualization - always returns base64 encoded PNG image */ async createVisualization(type, data, variables, options = {}) { - const usePython = options.usePython || false; const useAICustom = options.useAICustom || false; if (useAICustom) { return await this.createAICustomVisualization(data, variables, options); - } else if (usePython) { - return await this.createVisualizationWithPython(type, data, variables, options); } else { - return this.createPlotlyVisualization(type, data, variables, options); + return await this.createVisualizationWithPython(type, data, variables, options); } } /** - * Create custom visualization using AI to write Python/matplotlib code + * Create custom visualization using AI to write Python/matplotlib code - returns base64 image only */ async createAICustomVisualization(data, variables, options) { const vizId = this.generateVizId(); @@ -57,7 +55,7 @@ export class VisualizationEngine { const dataPath = join(this.sessionTempDir, `data-${vizId}.json`); const outputPath = join(this.sessionTempDir, `visualization-${vizId}.png`); - let vizMessage = null; + let base64Image = null; let error = null; try { @@ -73,29 +71,9 @@ export class VisualizationEngine { // 3. Execute Python script await this.executePythonScript(scriptPath); - // 4. Read generated image + // 4. Read generated image and return as base64 string only const imageBuffer = readFileSync(outputPath); - const base64Image = imageBuffer.toString('base64'); - - // 5. Create visualization message - vizMessage = { - visualizationId: vizId, - title: options.title || 'Custom AI Visualization', - description: options.description, - format: 'image', - data: { - encoding: 'base64', - mimeType: 'image/png', - content: base64Image, - width: options.width || 800, - height: options.height || 600 - }, - metadata: { - createdBy: 'ai-custom', - variables: variables, - ...options.metadata - } - }; + base64Image = imageBuffer.toString('base64'); } catch (err) { error = err; @@ -109,7 +87,7 @@ export class VisualizationEngine { } } - return vizMessage; + return base64Image; } /** @@ -229,7 +207,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and } /** - * Create visualization using Python (matplotlib/plotly) + * Create visualization using Python (matplotlib) - returns base64 image only */ async createVisualizationWithPython(type, data, variables, options) { const vizId = this.generateVizId(); @@ -237,7 +215,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and const dataPath = join(this.sessionTempDir, `data-${vizId}.json`); const outputPath = join(this.sessionTempDir, `visualization-${vizId}.png`); - let vizMessage = null; + let base64Image = null; let error = null; try { @@ -253,30 +231,9 @@ Generate ONLY the Python code, no explanations. The code should be complete and // 3. Execute Python script await this.executePythonScript(scriptPath); - // 4. Read generated image + // 4. Read generated image and return as base64 string only const imageBuffer = readFileSync(outputPath); - const base64Image = imageBuffer.toString('base64'); - - // 5. Create visualization message - vizMessage = { - visualizationId: vizId, - title: options.title || `${type} Visualization`, - description: options.description, - format: 'image', - data: { - encoding: 'base64', - mimeType: 'image/png', - content: base64Image, - width: options.width || 800, - height: options.height || 600 - }, - metadata: { - createdBy: 'agent', - type: type, - variables: variables, - ...options.metadata - } - }; + base64Image = imageBuffer.toString('base64'); } catch (err) { error = err; @@ -290,7 +247,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and } } - return vizMessage; + return base64Image; } /** @@ -323,8 +280,8 @@ Generate ONLY the Python code, no explanations. The code should be complete and return this.generateTimeSeriesScript(dataPath, outputPath, variables, options); case 'phase_portrait': return this.generatePhasePortraitScript(dataPath, outputPath, variables, options); - case 'feedback_dominance': - return this.generateFeedbackDominanceScript(dataPath, outputPath, options); + case 'comparison': + return this.generateComparisonScript(dataPath, outputPath, variables, options); default: throw new Error(`Unknown visualization type: ${type}`); } @@ -417,54 +374,40 @@ print('Visualization saved') } /** - * Generate feedback dominance script + * Generate comparison script */ - generateFeedbackDominanceScript(dataPath, outputPath, options) { + generateComparisonScript(dataPath, outputPath, variables, options) { + // For comparison, variables is expected to be a single variable name + const variable = Array.isArray(variables) ? variables[0] : variables; + return ` import json import matplotlib.pyplot as plt -import numpy as np import matplotlib matplotlib.use('Agg') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(10, 6), dpi=100) - -loops = data['feedbackLoops'] -time = None -bottom = None - -for loop in loops: - loop_data = loop.get('Percent of Model Behavior Explained By Loop', []) - if not loop_data: - continue - - t = [p['time'] for p in loop_data] - values = [p['value'] for p in loop_data] +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) - if time is None: - time = t - bottom = np.zeros(len(time)) +runs = data.get('runs', []) +colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] +line_styles = ['-', '--', '-.', ':'] - ax.fill_between(time, bottom, bottom + np.array(values), - label=loop.get('name', 'Unknown'), alpha=0.7) - bottom = bottom + np.array(values) +for idx, run in enumerate(runs): + run_data = run.get('data', {}) + label = run.get('label', run.get('runId', f'Run {idx+1}')) + color = colors[idx % len(colors)] + line_style = line_styles[0] if idx == 0 else line_styles[(idx % (len(line_styles)-1)) + 1] -if 'dominantLoopsByPeriod' in data: - for period in data['dominantLoopsByPeriod']: - ax.axvline(period['startTime'], color='red', linestyle='--', alpha=0.5) - mid_time = (period['startTime'] + period['endTime']) / 2 - ax.text(mid_time, 95, ', '.join(period['dominantLoops']), - ha='center', va='top', fontsize=9, - bbox=dict(boxstyle='round', facecolor='white', alpha=0.8)) + ax.plot(run_data.get('time', []), run_data.get('${variable}', []), + label=label, color=color, linestyle=line_style, linewidth=2) ax.set_xlabel('Time', fontsize=12) -ax.set_ylabel('% of Behavior Explained', fontsize=12) -ax.set_title('Feedback Loop Dominance', fontsize=14, fontweight='bold') -ax.set_ylim(0, 100) -ax.legend(loc='upper left', bbox_to_anchor=(1, 1)) +ax.set_ylabel('${variable}', fontsize=12) +ax.set_title('${options.title || `Comparison: ${variable}`}', fontsize=14, fontweight='bold') +ax.legend(loc='best') ax.grid(True, alpha=0.3) plt.tight_layout() @@ -505,233 +448,4 @@ print('Visualization saved') }); }); } - - /** - * Create Plotly visualization (no temp files needed) - */ - createPlotlyVisualization(type, data, variables, options) { - let plotlySpec; - - switch (type) { - case 'time_series': - plotlySpec = this.createTimeSeriesPlotly(data, variables, options); - break; - case 'phase_portrait': - plotlySpec = this.createPhasePortraitPlotly(data, variables, options); - break; - case 'feedback_dominance': - plotlySpec = this.createFeedbackDominancePlotly(data, options); - break; - case 'comparison': - plotlySpec = this.createComparisonPlotly(data, variables, options); - break; - default: - throw new Error(`Unknown visualization type: ${type}`); - } - - return { - visualizationId: this.generateVizId(), - title: options.title || `${type} Visualization`, - description: options.description, - format: 'plotly', - data: plotlySpec, - metadata: { - createdBy: 'agent', - type: type, - variables: variables, - ...options.metadata - } - }; - } - - /** - * Create time series Plotly spec - */ - createTimeSeriesPlotly(data, variables, options) { - const traces = variables.map((varName, idx) => ({ - x: data.time, - y: data[varName], - type: 'scatter', - mode: 'lines', - name: varName, - line: { - color: this.getColor(idx), - width: 2 - } - })); - - const shapes = (options.highlightPeriods || []).map(period => ({ - type: 'rect', - xref: 'x', - yref: 'paper', - x0: period.start, - x1: period.end, - y0: 0, - y1: 1, - fillcolor: period.color || 'yellow', - opacity: 0.2, - line: { width: 0 } - })); - - const annotations = (options.highlightPeriods || []).map(period => ({ - x: (period.start + period.end) / 2, - y: 1, - yref: 'paper', - text: period.label, - showarrow: false, - bgcolor: period.color || 'yellow', - opacity: 0.8 - })); - - return { - data: traces, - layout: { - title: options.title || 'Time Series', - xaxis: { title: `Time (${options.timeUnits || 'units'})` }, - yaxis: { title: 'Value' }, - showlegend: true, - hovermode: 'x unified', - shapes: shapes, - annotations: annotations - }, - config: { - responsive: true, - displayModeBar: true - } - }; - } - - /** - * Create phase portrait Plotly spec - */ - createPhasePortraitPlotly(data, variables, options) { - const [xVar, yVar] = variables; - - return { - data: [{ - x: data[xVar], - y: data[yVar], - type: 'scatter', - mode: 'lines+markers', - marker: { - size: 4, - color: data.time, - colorscale: 'Viridis', - showscale: true, - colorbar: { title: 'Time' } - }, - line: { width: 1 } - }], - layout: { - title: `Phase Portrait: ${yVar} vs ${xVar}`, - xaxis: { title: xVar }, - yaxis: { title: yVar }, - hovermode: 'closest' - }, - config: { - responsive: true, - displayModeBar: true - } - }; - } - - /** - * Create feedback dominance Plotly spec - */ - createFeedbackDominancePlotly(data, options) { - const loops = data.feedbackLoops || []; - - const traces = loops.map((loop, idx) => { - const loopData = loop['Percent of Model Behavior Explained By Loop'] || []; - return { - x: loopData.map(p => p.time), - y: loopData.map(p => p.value), - type: 'scatter', - mode: 'lines', - name: loop.name || `Loop ${idx + 1}`, - stackgroup: 'one', - fillcolor: this.getColor(idx) - }; - }); - - const shapes = (data.dominantLoopsByPeriod || []).map(period => ({ - type: 'line', - x0: period.startTime, - x1: period.startTime, - y0: 0, - y1: 100, - line: { color: 'red', width: 1, dash: 'dot' } - })); - - const annotations = (data.dominantLoopsByPeriod || []).map(period => ({ - x: (period.startTime + period.endTime) / 2, - y: 95, - text: `Dominant: ${period.dominantLoops.join(', ')}`, - showarrow: false, - bgcolor: 'white', - bordercolor: 'red' - })); - - return { - data: traces, - layout: { - title: 'Feedback Loop Dominance Over Time', - xaxis: { title: 'Time' }, - yaxis: { title: '% of Behavior Explained', range: [0, 100] }, - showlegend: true, - shapes: shapes, - annotations: annotations - }, - config: { - responsive: true, - displayModeBar: true - } - }; - } - - /** - * Create comparison Plotly spec - */ - createComparisonPlotly(data, variable, options) { - const runsData = data.runs || []; - - const traces = runsData.map((run, idx) => ({ - x: run.data.time, - y: run.data[variable], - type: 'scatter', - mode: 'lines', - name: run.label || run.runId, - line: { - color: this.getColor(idx), - width: 2, - dash: idx > 0 ? 'dash' : 'solid' - } - })); - - return { - data: traces, - layout: { - title: `Comparison: ${variable}`, - xaxis: { title: 'Time' }, - yaxis: { title: variable }, - showlegend: true, - hovermode: 'x unified' - }, - config: { - responsive: true, - displayModeBar: true - } - }; - } - - /** - * Color palette for consistent styling - */ - getColor(index) { - const colors = [ - '#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', - '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf' - ]; - return colors[index % colors.length]; - } } From 72fb54ed1fd475a27bcd45d63d3eb26adca8f00a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 16 Apr 2026 10:23:40 -0400 Subject: [PATCH 005/226] use logger instead of console --- agent/tools/DynamicToolServer.js | 5 +++-- agent/utilities/VisualizationEngine.js | 8 ++++---- engines/quantitative/QuantitativeEngineBrain.js | 2 +- 3 files changed, 8 insertions(+), 7 deletions(-) diff --git a/agent/tools/DynamicToolServer.js b/agent/tools/DynamicToolServer.js index 228d79e1..28ff5776 100644 --- a/agent/tools/DynamicToolServer.js +++ b/agent/tools/DynamicToolServer.js @@ -1,4 +1,5 @@ import { StructuredOutputToZodConverter } from '../../utilities/StructuredOutputToZodConverter.js'; +import logger from '../../utilities/logger.js'; /** * DynamicToolServer @@ -36,7 +37,7 @@ export class DynamicToolServer { // Create MCP server from client tools this.mcpServer = this.createMcpServerFromClientTools(clientTools); - console.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => `client_${t.name}`).join(', ')}`); + logger.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => `client_${t.name}`).join(', ')}`); } /** @@ -79,7 +80,7 @@ export class DynamicToolServer { return await this.requestClientExecution(clientToolName, args); } } catch (error) { - console.error(`Error executing client tool ${toolDef.name}:`, error); + logger.error(`Error executing client tool ${toolDef.name}:`, error); return { content: [{ type: 'text', text: `Error: ${error.message}` }], isError: true diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 2cd4166e..4cf6e551 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -77,7 +77,7 @@ export class VisualizationEngine { } catch (err) { error = err; - console.error(`Failed to create AI custom visualization ${vizId}:`, err); + // Suppress error logging - errors are thrown and handled by caller } finally { // ALWAYS cleanup temp files this.cleanupVisualizationFiles(vizId); @@ -159,7 +159,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and return pythonCode; } catch (err) { - console.error('Failed to generate AI visualization script:', err); + // Suppress error logging - errors are thrown and handled by caller throw new Error(`AI visualization generation failed: ${err.message}`); } } @@ -237,7 +237,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and } catch (err) { error = err; - console.error(`Failed to create Python visualization ${vizId}:`, err); + // Suppress error logging - errors are thrown and handled by caller } finally { // ALWAYS cleanup temp files this.cleanupVisualizationFiles(vizId); @@ -266,7 +266,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and unlinkSync(file); } } catch (err) { - console.warn(`Failed to delete temp file ${file}:`, err.message); + // Suppress cleanup errors - they're not critical } } } diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index 68c9641e..6f9bbd46 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -1032,7 +1032,7 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov try { parsedObj = JSON.parse(originalResponse.content); } catch (err) { - console.log(originalResponse); + logger.log('Bad JSON from LLM:', originalResponse); throw new ResponseFormatError("Bad JSON returned by underlying LLM"); } return this.processResponse(parsedObj); From 3b921b2a0a3e8e5714d6b5570ff38b4575a494f3 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 16 Apr 2026 15:10:34 -0400 Subject: [PATCH 006/226] improved visualization generation --- agent/test-client.html | 14 ++++++++++-- agent/utilities/AgentConfigurationManager.js | 24 +++++++++++++++++++- utilities/LLMWrapper.js | 2 +- 3 files changed, 36 insertions(+), 4 deletions(-) diff --git a/agent/test-client.html b/agent/test-client.html index 4652edec..27799907 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -16,6 +16,8 @@ background: #f5f5f5; padding: 20px; line-height: 1.6; + overflow-x: hidden; + max-width: 100vw; } .container { @@ -24,6 +26,7 @@ background: white; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); + overflow: hidden; } header { @@ -61,18 +64,23 @@ grid-template-columns: 2fr 1fr; gap: 20px; padding: 20px; + overflow: hidden; } .left-column { display: flex; flex-direction: column; gap: 20px; + min-width: 0; + overflow: hidden; } .right-column { display: flex; flex-direction: column; gap: 20px; + min-width: 0; + overflow: hidden; } .step-number { @@ -98,6 +106,8 @@ background: #f8f9fa; border-radius: 4px; padding: 15px; + min-width: 0; + overflow: hidden; } .panel h2 { @@ -648,9 +658,9 @@

Visualizations

} // Display the image - if (format === 'image' && data) { + if (format === 'image' && data && data.base64) { const img = document.createElement('img'); - img.src = `data:image/png;base64,${data}`; + img.src = `data:${data.mimeType || 'image/png'};base64,${data.base64}`; img.alt = title || 'Visualization'; vizItem.appendChild(img); } else { diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index cfb01d6a..c9084681 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -35,6 +35,28 @@ NEVER switch between CLD and SFD during a session. - SFDs have equations and can be simulated to produce time series behavior - Use run_model, get_run_data, and create_visualization for SFDs only +## CRITICAL: Visualization Requests +When a user requests a visualization: +- ALWAYS use the current model as-is without any modifications +- NEVER modify, update, or change the existing model structure or parameters to create visualizations +- Follow this sequence: get_current_model -> run_model (if needed) -> get_run_data -> create_visualization +- If the current model cannot produce the requested visualization, inform the user rather than modifying the model +- Visualizations should reflect the current state of the model, not an idealized or modified version + +**CRITICAL: Data Structure for create_visualization** +When calling create_visualization, the data parameter MUST be structured exactly as follows: +{ + time: [0, 1, 2, 3, ...], + Variable1: [value1, value2, value3, ...], + Variable2: [value1, value2, value3, ...], + ... +} + +**Common Error:** Do NOT pass the full tool result from get_run_data (which includes success, runId, etc.). +Instead, extract ONLY the time series data fields: +- Correct: { time: result.time, Population: result.Population, Births: result.Births } +- Wrong: result (includes success, runId, and other metadata) + ## CRITICAL: Automatic Model Validation After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST: 1. Immediately use get_current_model to retrieve the updated model @@ -84,7 +106,7 @@ Use Seldon extensively to help you: - Review simulation results and their relationship to underlying causal structure Consider consulting Seldon when facing complex modeling decisions or when you need expert guidance on system dynamics best practices. -ALWAYS share feedback loop information with Seldon when discussing model behavior or improvements.`; +ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements.`; constructor(configPath) { this.configPath = configPath; diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index de995ea6..7e34ce84 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -62,7 +62,7 @@ export class LLMWrapper { model = new ModelCapabilities(LLMWrapper.BUILD_DEFAULT_MODEL); - constructor(parameters) { + constructor(parameters = {}) { if (!parameters.openAIKey) { this.#openAIKey = process.env.OPENAI_API_KEY } else { From c6e620a7ede53baa430c64d58dcf02f3fe4ecad0 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 17 Apr 2026 08:23:15 -0400 Subject: [PATCH 007/226] seperate HTTP server and websocket server ports - and make it easy to switch agents at anytime --- agent/README.md | 10 ++ agent/test-client.html | 175 +++++++++++++++++++++++++---- agent/utilities/MessageProtocol.js | 3 +- agent/websocket.js | 38 +++++-- app.js | 18 ++- config.js | 1 + 6 files changed, 206 insertions(+), 39 deletions(-) diff --git a/agent/README.md b/agent/README.md index adb989a8..61f1fa47 100644 --- a/agent/README.md +++ b/agent/README.md @@ -260,18 +260,28 @@ Sent after successful initialization. Lists available agents for selection. { "id": "ganos-lal", "name": "Ganos Lal", + "supports": ["sfd", "cld"], "description": "A helpful mentor who guides you through building models" }, { "id": "myrddin", "name": "Myrddin", + "supports": ["sfd", "cld"], "description": "An expert modeler focused on technical excellence" } ], + "defaults": { + "sfd": "ganos-lal", + "cld": "ganos-lal" + }, "timestamp": "2025-01-15T10:30:00.100Z" } ``` +**Fields:** +- `availableAgents` - Array of agent definitions with their supported model types +- `defaults` - Object mapping model types to their default agent IDs + #### 3. Agent Selected Confirms that an agent has been selected and is ready. diff --git a/agent/test-client.html b/agent/test-client.html index 27799907..a75c880d 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -290,7 +290,7 @@

SD-AI Agent WebSocket Test Client

1Connection

- +
@@ -298,29 +298,41 @@

1Connection

- +

2Session Initialization

-
- - -
- +
-

3Send User Message

+

3Agent Selection

+
+ Session must be initialized first. Agent dropdown will populate after session is ready. +
+ +
+ + +
+
+ +
+ + +
+

4Send User Message

@@ -371,22 +383,30 @@

Visualizations

let ws = null; let sessionId = null; let pendingToolCalls = new Map(); + let availableAgents = []; + let agentDefaults = {}; + let currentAgentId = null; + let currentAgentName = null; const elements = { status: document.getElementById('status'), connectBtn: document.getElementById('connectBtn'), disconnectBtn: document.getElementById('disconnectBtn'), initBtn: document.getElementById('initBtn'), + selectAgentBtn: document.getElementById('selectAgentBtn'), sendBtn: document.getElementById('sendBtn'), stopBtn: document.getElementById('stopBtn'), updateModelBtn: document.getElementById('updateModelBtn'), wsUrl: document.getElementById('wsUrl'), agentType: document.getElementById('agentType'), + agentDescription: document.getElementById('agentDescription'), modelType: document.getElementById('modelType'), userMessage: document.getElementById('userMessage'), modelData: document.getElementById('modelData'), log: document.getElementById('log'), - clearLogBtn: document.getElementById('clearLogBtn') + clearLogBtn: document.getElementById('clearLogBtn'), + currentAgentInfo: document.getElementById('currentAgentInfo'), + currentAgentName: document.getElementById('currentAgentName') }; // Logging functions @@ -492,18 +512,37 @@

Visualizations

break; case 'session_ready': - log(`Session ready! Available agents: ${message.availableAgents.map(a => a.name).join(', ')}`); - // Automatically select the agent specified in the UI - const agentId = elements.agentType.value; - send({ - type: 'select_agent', - sessionId: sessionId, - agentId: agentId - }); + // Store available agents and defaults + availableAgents = message.availableAgents || []; + agentDefaults = message.defaults || {}; + + log(`Session ready! Available agents: ${availableAgents.map(a => a.name).join(', ')}`); + log(`Defaults: ${JSON.stringify(agentDefaults)}`); + + // Populate agent dropdown + populateAgentDropdown(); + + // Enable the select agent button + elements.selectAgentBtn.disabled = false; break; case 'agent_selected': + currentAgentId = message.agentId; + currentAgentName = message.agentName; log(`Agent selected: ${message.agentName}`); + + // Update current agent display + elements.currentAgentName.textContent = message.agentName; + elements.currentAgentInfo.style.display = 'block'; + + // Re-enable agent selection for switching + elements.selectAgentBtn.disabled = false; + elements.agentType.disabled = false; + + // Update button text to indicate switching + elements.selectAgentBtn.textContent = 'Switch Agent'; + + // Enable chat controls elements.sendBtn.disabled = false; elements.stopBtn.disabled = false; elements.updateModelBtn.disabled = false; @@ -1046,6 +1085,100 @@

Visualizations

} }; + // Function to populate agent dropdown based on model type + function populateAgentDropdown() { + const modelType = elements.modelType.value; + const agentSelect = elements.agentType; + + // Clear existing options + agentSelect.innerHTML = ''; + + // Filter agents that support the current model type + const supportedAgents = availableAgents.filter(agent => + agent.supports && agent.supports.includes(modelType) + ); + + if (supportedAgents.length === 0) { + agentSelect.innerHTML = ''; + agentSelect.disabled = true; + elements.agentDescription.textContent = ''; + return; + } + + // Add options for each supported agent (name only) + supportedAgents.forEach(agent => { + const option = document.createElement('option'); + option.value = agent.id; + option.textContent = agent.name; + agentSelect.appendChild(option); + }); + + // Select the default agent for this model type + const defaultAgentId = agentDefaults[modelType]; + if (defaultAgentId && supportedAgents.find(a => a.id === defaultAgentId)) { + agentSelect.value = defaultAgentId; + } + + agentSelect.disabled = false; + + // Update description for selected agent + updateAgentDescription(); + } + + // Function to update agent description + function updateAgentDescription() { + const selectedAgentId = elements.agentType.value; + const selectedAgent = availableAgents.find(a => a.id === selectedAgentId); + + if (selectedAgent && selectedAgent.description) { + elements.agentDescription.textContent = selectedAgent.description; + } else { + elements.agentDescription.textContent = ''; + } + } + + // Handle model type change + elements.modelType.addEventListener('change', () => { + if (availableAgents.length > 0) { + populateAgentDropdown(); + } + }); + + // Handle agent selection change + elements.agentType.addEventListener('change', () => { + updateAgentDescription(); + }); + + // Handle select agent button (also handles switching) + elements.selectAgentBtn.onclick = () => { + const agentId = elements.agentType.value; + if (!agentId) { + log('Please select an agent', 'error'); + return; + } + + // Check if we're switching to a different agent + const isSwitching = currentAgentId !== null; + + if (isSwitching && agentId === currentAgentId) { + log('Already using this agent', 'error'); + return; + } + + send({ + type: 'select_agent', + sessionId: sessionId, + agentId: agentId + }); + + if (isSwitching) { + log(`Switching from ${currentAgentName} to ${agentId}...`); + } + + // Temporarily disable button while switching + elements.selectAgentBtn.disabled = true; + }; + log('Test client loaded. Click Connect to start.'); diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 61313ab6..1c5a3e93 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -296,11 +296,12 @@ export function createSessionCreatedMessage(sessionId) { }; } -export function createSessionReadyMessage(sessionId, availableAgents) { +export function createSessionReadyMessage(sessionId, availableAgents, defaults) { return { type: 'session_ready', sessionId, availableAgents, + defaults, timestamp: new Date().toISOString() }; } diff --git a/agent/websocket.js b/agent/websocket.js index 1db68878..61e028f4 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -49,7 +49,13 @@ function getAvailableAgents() { logger.error('Failed to scan agent config directory:', err); } - return agents; + // Hardcoded defaults - ganos-lal is the default agent for all model types + const defaults = { + sfd: 'ganos-lal', + cld: 'ganos-lal' + }; + + return { agents, defaults }; } /** @@ -182,10 +188,10 @@ export function handleWebSocketConnection(ws, sessionManager) { ); // Get available agents from config directory - const availableAgents = getAvailableAgents(); + const { agents, defaults } = getAvailableAgents(); - // Send session ready with available agents - await sendToClient(createSessionReadyMessage(sessionId, availableAgents)); + // Send session ready with available agents and defaults + await sendToClient(createSessionReadyMessage(sessionId, agents, defaults)); logger.log(`Session initialized: ${sessionId}`); } catch (error) { @@ -199,21 +205,24 @@ export function handleWebSocketConnection(ws, sessionManager) { } } - // Handle select_agent + // Handle select_agent (also handles switching agents mid-session) async function handleSelectAgent(message) { try { // Validate that the agent exists - const availableAgents = getAvailableAgents(); - const selectedAgent = availableAgents.find(agent => agent.id === message.agentId); + const { agents } = getAvailableAgents(); + const selectedAgent = agents.find(agent => agent.id === message.agentId); if (!selectedAgent) { - throw new Error(`Agent '${message.agentId}' not found. Available agents: ${availableAgents.map(a => a.id).join(', ')}`); + throw new Error(`Agent '${message.agentId}' not found. Available agents: ${agents.map(a => a.id).join(', ')}`); } // Get the agent config path const configPath = join(__dirname, 'config', `${message.agentId}.yaml`); - // Create agent orchestrator + // Check if we're switching agents (orchestrator already exists) + const isSwitching = orchestrator !== null; + + // Create new agent orchestrator (replaces existing if switching) orchestrator = new AgentOrchestrator( sessionManager, sessionId, @@ -227,10 +236,15 @@ export function handleWebSocketConnection(ws, sessionManager) { // Send agent selected message await sendToClient(createAgentSelectedMessage(sessionId, selectedAgent.id, selectedAgent.name)); - // Send initial greeting message - await sendToClient(createAgentTextMessage(sessionId, 'What can I do for you today?', false)); + // Send appropriate greeting message + if (isSwitching) { + await sendToClient(createAgentTextMessage(sessionId, `I've switched to ${selectedAgent.name}. How can I help you?`, false)); + logger.log(`Agent switched to: ${message.agentId} for session ${sessionId}`); + } else { + await sendToClient(createAgentTextMessage(sessionId, 'What can I do for you today?', false)); + logger.log(`Agent selected: ${message.agentId} for session ${sessionId}`); + } - logger.log(`Agent selected: ${message.agentId} for session ${sessionId}`); } catch (error) { logger.error(`Failed to select agent for session ${sessionId}:`, error); await sendToClient(createErrorMessage( diff --git a/app.js b/app.js index fcfbb24c..39e31dbd 100644 --- a/app.js +++ b/app.js @@ -37,12 +37,15 @@ app.use("/api/v1/evals", v1EvalsList); app.use("/api/v1/evals", v1EvalsTestDetails); app.use("/api/v1/leaderboard", v1Leaderboard); -// Create HTTP server +// Create HTTP server for REST API const server = createServer(app); -// Create WebSocket server +// Create separate HTTP server for WebSocket +const wsHttpServer = createServer(); + +// Create WebSocket server on separate port const wss = new WebSocketServer({ - server, + server: wsHttpServer, path: '/api/v1/agent' }); @@ -65,8 +68,13 @@ process.on('SIGINT', () => { process.exit(0); }); -// Start server +// Start HTTP server server.listen(config.port, () => { logger.log(`ai-proxy-service listening on port ${config.port}`); - logger.log(`WebSocket server available at ws://localhost:${config.port}/api/v1/agent`); +}); + +// Start WebSocket server on separate port +wsHttpServer.listen(config.websocketPort, () => { + logger.log(`WebSocket server listening on port ${config.websocketPort}`); + logger.log(`WebSocket server available at ws://localhost:${config.websocketPort}/api/v1/agent`); }); diff --git a/config.js b/config.js index d27d9b93..a2ec2048 100644 --- a/config.js +++ b/config.js @@ -5,6 +5,7 @@ const config = { "port": 3000, + "websocketPort": 3001, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics }; From 16620471cff6418361b01e80079a5cb5e5644ed2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 17 Apr 2026 08:39:07 -0400 Subject: [PATCH 008/226] externalized temp dir --- agent/utilities/SessionManager.js | 6 +++- agent/utilities/VisualizationEngine.js | 47 ++++++++++++++++++++------ config.js | 3 +- 3 files changed, 44 insertions(+), 12 deletions(-) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index d5e98691..0e96266b 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -3,6 +3,7 @@ import { tmpdir } from 'os'; import { join } from 'path'; import { existsSync, mkdirSync, readdirSync, unlinkSync, rmdirSync, statSync } from 'fs'; import logger from '../../utilities/logger.js'; +import config from '../../config.js'; /** * SessionManager @@ -18,7 +19,10 @@ import logger from '../../utilities/logger.js'; export class SessionManager { constructor(options = {}) { this.sessions = new Map(); - this.tempBasePath = join(tmpdir(), 'sd-agent'); + + // Use configured temp directory or default to OS tmpdir + const baseTempDir = config.sessionTempDir || tmpdir(); + this.tempBasePath = join(baseTempDir, 'sd-agent'); // Configuration this.maxSessions = options.maxSessions || 1000; diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 4cf6e551..1b18c599 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -1,5 +1,5 @@ import { randomBytes } from 'crypto'; -import { join } from 'path'; +import { join, resolve, normalize } from 'path'; import { writeFileSync, readFileSync, existsSync, unlinkSync } from 'fs'; import { spawn } from 'child_process'; import { LLMWrapper } from '../../utilities/LLMWrapper.js'; @@ -24,6 +24,28 @@ export class VisualizationEngine { if (!this.sessionTempDir) { throw new Error(`Session not found: ${sessionId}`); } + + // Normalize and resolve the session temp directory for security checks + this.resolvedTempDir = resolve(normalize(this.sessionTempDir)); + } + + /** + * Validate that a file path is within the session temp directory + * This prevents path traversal attacks (e.g., ../../etc/passwd) + * @param {string} filePath - The file path to validate + * @returns {string} The validated, resolved path + * @throws {Error} If the path is outside the session temp directory + */ + validatePath(filePath) { + // Resolve and normalize the path to eliminate any .. or symbolic links + const resolvedPath = resolve(normalize(filePath)); + + // Check if the resolved path starts with the session temp directory + if (!resolvedPath.startsWith(this.resolvedTempDir + '/') && resolvedPath !== this.resolvedTempDir) { + throw new Error(`Security violation: Path '${filePath}' is outside session directory`); + } + + return resolvedPath; } /** @@ -51,9 +73,9 @@ export class VisualizationEngine { */ async createAICustomVisualization(data, variables, options) { const vizId = this.generateVizId(); - const scriptPath = join(this.sessionTempDir, `visualization-${vizId}.py`); - const dataPath = join(this.sessionTempDir, `data-${vizId}.json`); - const outputPath = join(this.sessionTempDir, `visualization-${vizId}.png`); + const scriptPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.py`)); + const dataPath = this.validatePath(join(this.sessionTempDir, `data-${vizId}.json`)); + const outputPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.png`)); let base64Image = null; let error = null; @@ -211,9 +233,9 @@ Generate ONLY the Python code, no explanations. The code should be complete and */ async createVisualizationWithPython(type, data, variables, options) { const vizId = this.generateVizId(); - const scriptPath = join(this.sessionTempDir, `visualization-${vizId}.py`); - const dataPath = join(this.sessionTempDir, `data-${vizId}.json`); - const outputPath = join(this.sessionTempDir, `visualization-${vizId}.png`); + const scriptPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.py`)); + const dataPath = this.validatePath(join(this.sessionTempDir, `data-${vizId}.json`)); + const outputPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.png`)); let base64Image = null; let error = null; @@ -262,8 +284,10 @@ Generate ONLY the Python code, no explanations. The code should be complete and for (const file of filesToDelete) { try { - if (existsSync(file)) { - unlinkSync(file); + // Validate path before deletion + const validatedPath = this.validatePath(file); + if (existsSync(validatedPath)) { + unlinkSync(validatedPath); } } catch (err) { // Suppress cleanup errors - they're not critical @@ -421,8 +445,11 @@ print('Visualization saved') * Execute Python script */ async executePythonScript(scriptPath) { + // Validate that the script path is within the session temp directory + const validatedPath = this.validatePath(scriptPath); + return new Promise((resolve, reject) => { - const python = spawn('python3', [scriptPath]); + const python = spawn('python3', [validatedPath]); let stdout = ''; let stderr = ''; diff --git a/config.js b/config.js index a2ec2048..b765bd8a 100644 --- a/config.js +++ b/config.js @@ -1,12 +1,13 @@ /*** * You must have a .env file which has the following keys - * OPEN_API_KEY which is your open AI access token + * OPEN_API_KEY which is your open AI access token */ const config = { "port": 3000, "websocketPort": 3001, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics + "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) }; export default config \ No newline at end of file From 88b67636375986e5f25c2f44ed91b3d840a5033a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 17 Apr 2026 09:04:52 -0400 Subject: [PATCH 009/226] sandbox the visualization engine --- agent/utilities/SANDBOX_SECURITY.md | 179 ++++++++++ agent/utilities/VisualizationEngine.js | 58 ++- agent/utilities/python_sandbox.sh | 184 ++++++++++ agent/utilities/python_sandbox_windows.bat | 152 ++++++++ tests/agent/sandbox.test.js | 396 +++++++++++++++++++++ 5 files changed, 961 insertions(+), 8 deletions(-) create mode 100644 agent/utilities/SANDBOX_SECURITY.md create mode 100755 agent/utilities/python_sandbox.sh create mode 100644 agent/utilities/python_sandbox_windows.bat create mode 100644 tests/agent/sandbox.test.js diff --git a/agent/utilities/SANDBOX_SECURITY.md b/agent/utilities/SANDBOX_SECURITY.md new file mode 100644 index 00000000..06a14dbf --- /dev/null +++ b/agent/utilities/SANDBOX_SECURITY.md @@ -0,0 +1,179 @@ +# Python Sandbox Security + +This document describes the security implementation for Python script execution in the VisualizationEngine. + +## Overview + +The VisualizationEngine executes user-generated and AI-generated Python code to create matplotlib visualizations. To prevent security vulnerabilities, all Python execution is sandboxed at the OS level. + +## Security Guarantees + +### What is Protected + +- **Write Operations**: Python scripts cannot write files outside their session directory +- **File Deletion**: Scripts cannot delete files outside their session directory +- **Directory Creation**: Scripts cannot create directories outside their session directory +- **Subprocess Execution**: All subprocess/shell command execution is blocked +- **Network Access**: Network modules (urllib, requests, etc.) are blocked from import +- **Path Traversal**: `../../../` style attacks are prevented +- **Symlink Escapes**: Symbolic links cannot be used to escape the sandbox + +### What is Allowed + +- **Reading Files**: Scripts can read system libraries (needed for matplotlib, numpy, etc.) +- **Writing in Sandbox**: Full read/write access within the session directory +- **Resource Limits**: CPU time (60s) and file size (50MB) limits enforced via ulimit + +## Platform Support + +### Linux (Production) + +**Sandbox Script**: `python_sandbox.sh` + +**Security Features**: +- OS-level path validation +- ulimit resource constraints (CPU time, file size) +- Python built-in function wrapping (`open`, `os.*`) +- Module import restrictions +- Working directory isolation + +**Deployment**: Safe for production use, including publicly hosted services. + +### macOS (Development/Testing) + +**Sandbox Script**: `python_sandbox.sh` + +**Security Features**: Same as Linux + +**Deployment**: Suitable for local development and testing. For production deployments, use Linux. + +### Windows (Development Only - WARNING) + +**Sandbox Script**: `python_sandbox_windows.bat` + +**Security Features**: +- Python function wrapping (file operations, imports) +- Path validation +- WARNING: NO ulimit support (Windows doesn't have ulimit) +- WARNING: NO process-level isolation + +**Deployment**: +- Safe for **local development only** +- **NOT SAFE** for production +- **DO NOT** use for publicly hosted services +- The system will print warnings when running on Windows + +**Recommendation**: For production deployments, use **Linux only**. + +## Implementation Details + +### Two-Layer Security + +1. **Node.js Layer** ([VisualizationEngine.js](./VisualizationEngine.js)) + - Path validation before file operations + - Prevents path traversal at application level + - Validates all paths are within session temp directory + +2. **Python Layer** (sandbox scripts) + - Wraps built-in `open()` function to block writes outside sandbox + - Wraps `os.remove()`, `os.mkdir()`, etc. + - Blocks dangerous module imports + - Neuters subprocess execution functions + +### Session Isolation + +Each WebSocket session gets its own temp directory: +``` +/tmp/sd-agent/ + ├── sess_abc123/ ← Session 1 sandbox + ├── sess_def456/ ← Session 2 sandbox + └── sess_ghi789/ ← Session 3 sandbox +``` + +Sessions cannot access each other's files. + +### Configurable Temp Directory + +Set via environment variable: +```bash +export SESSION_TEMP_DIR=/custom/temp/path +``` + +Or in `.env`: +``` +SESSION_TEMP_DIR=/custom/temp/path +``` + +## Testing + +Unit tests verify all security guarantees: + +```bash +npm test -- tests/agent/sandbox.test.js +``` + +Tests cover: +- File write blocking outside sandbox +- File read permissions +- Subprocess execution blocking +- Network module blocking +- Resource limits +- Path traversal prevention +- Symlink escape prevention +- Matplotlib compatibility + +## Third-Party Alternatives + +For enhanced security on Linux, consider wrapping with: + +- **Bubblewrap**: Lightweight container sandbox +- **Firejail**: Application sandboxing +- **Docker/Podman**: Full containerization (more overhead) +- **gVisor**: Google's container runtime sandbox + +Our custom solution was chosen for: +- Cross-platform support (macOS, Linux, Windows dev) +- Zero external dependencies +- Lightweight (no Docker overhead) +- Simple deployment + +## Security Considerations + +### Matplotlib & System Libraries + +Matplotlib requires reading system files (fonts, config files). The sandbox allows: +- Read access to `/usr/`, `/Library/`, `/System/` (system paths) +- Read access to `~/.matplotlib/`, `~/.fonts/` (user config) +- **NO write access** to these locations + +### AI-Generated Code + +When using `useAICustom: true`, the AI generates Python visualization code. The sandbox prevents: +- Data exfiltration attempts +- Malicious code injection +- Resource exhaustion attacks + +### Resource Exhaustion + +**Linux/macOS**: ulimit enforces CPU time (60s) and file size (50MB) limits. + +**Windows**: No ulimit support. Use process timeout (70s) as fallback. For production, use Linux. + +## Migration from Development to Production + +If developing on Windows: + +1. Test locally on Windows (warnings will appear) +2. Deploy to Linux or macOS for production +3. Verify tests pass: `npm test -- tests/agent/sandbox.test.js` +4. Monitor logs for security violations + +## Reporting Security Issues + +If you discover a security vulnerability, please report it via: +- GitHub Issues (for non-critical issues) +- Direct contact for critical vulnerabilities + +## License + +Same license as the main project. diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 1b18c599..1115e176 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -1,8 +1,13 @@ import { randomBytes } from 'crypto'; -import { join, resolve, normalize } from 'path'; +import { join, resolve, normalize, dirname } from 'path'; import { writeFileSync, readFileSync, existsSync, unlinkSync } from 'fs'; import { spawn } from 'child_process'; +import { fileURLToPath } from 'url'; import { LLMWrapper } from '../../utilities/LLMWrapper.js'; +import logger from '../../utilities/logger.js'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); /** * VisualizationEngine @@ -442,27 +447,64 @@ print('Visualization saved') } /** - * Execute Python script + * Execute Python script with OS-level sandboxing */ async executePythonScript(scriptPath) { // Validate that the script path is within the session temp directory const validatedPath = this.validatePath(scriptPath); + // Detect OS and use appropriate sandbox script + const isWindows = process.platform === 'win32'; + const isMacOS = process.platform === 'darwin'; + + if (isWindows) { + logger.warn('WARNING: Running on Windows with minimal sandbox security.'); + logger.warn('This is for LOCAL DEVELOPMENT ONLY.'); + logger.warn('DO NOT use for publicly hosted services.'); + logger.warn('For production, deploy on Linux.'); + } else if (isMacOS) { + logger.warn('WARNING: Running on MacOS sandbox security.'); + logger.warn('This is for LOCAL DEVELOPMENT ONLY.'); + logger.warn('DO NOT use for publicly hosted services.'); + logger.warn('For production, deploy on Linux.'); + } + + const sandboxScript = isWindows + ? join(__dirname, 'python_sandbox_windows.bat') + : join(__dirname, 'python_sandbox.sh'); + return new Promise((resolve, reject) => { - const python = spawn('python3', [validatedPath]); + // Arguments: sandbox_dir, script_path + const sandboxProcess = spawn(sandboxScript, [ + this.resolvedTempDir, // Sandbox directory (session temp dir) + validatedPath // Script to execute + ], { + // Additional security: set working directory to sandbox + cwd: this.resolvedTempDir, + // Limit environment variables + env: { + PATH: process.env.PATH, + HOME: this.resolvedTempDir, + TMPDIR: this.resolvedTempDir, + }, + // Set timeout at process level as well + timeout: 70000, // 70 seconds (sandbox has 65s timeout + 5s buffer) + // Windows needs shell + shell: isWindows + }); let stdout = ''; let stderr = ''; - python.stdout.on('data', (data) => { + sandboxProcess.stdout.on('data', (data) => { stdout += data.toString(); }); - python.stderr.on('data', (data) => { + sandboxProcess.stderr.on('data', (data) => { stderr += data.toString(); }); - python.on('close', (code) => { + sandboxProcess.on('close', (code) => { if (code !== 0) { reject(new Error(`Python script failed (code ${code}): ${stderr}`)); } else { @@ -470,8 +512,8 @@ print('Visualization saved') } }); - python.on('error', (err) => { - reject(new Error(`Failed to spawn Python: ${err.message}`)); + sandboxProcess.on('error', (err) => { + reject(new Error(`Failed to spawn sandboxed Python: ${err.message}`)); }); }); } diff --git a/agent/utilities/python_sandbox.sh b/agent/utilities/python_sandbox.sh new file mode 100755 index 00000000..37c2d8de --- /dev/null +++ b/agent/utilities/python_sandbox.sh @@ -0,0 +1,184 @@ +#!/bin/bash +# +# Python Sandbox Wrapper +# Executes Python scripts with OS-level directory isolation +# +# Usage: python_sandbox.sh +# +# Security measures: +# 1. Changes working directory to sandbox +# 2. Blocks file WRITES outside sandbox directory +# 3. Allows file READS anywhere (needed for system libraries) +# 4. Sets resource limits (CPU, file size) +# 5. Blocks subprocess execution +# 6. Works on both macOS and Linux + +set -e + +if [ "$#" -ne 2 ]; then + echo "Usage: $0 " >&2 + exit 1 +fi + +SANDBOX_DIR="$1" +SCRIPT_PATH="$2" + +# Validate that sandbox directory exists +if [ ! -d "$SANDBOX_DIR" ]; then + echo "Error: Sandbox directory does not exist: $SANDBOX_DIR" >&2 + exit 1 +fi + +# Validate that script exists and is within sandbox +if [ ! -f "$SCRIPT_PATH" ]; then + echo "Error: Script does not exist: $SCRIPT_PATH" >&2 + exit 1 +fi + +# Get absolute paths +SANDBOX_ABS=$(cd "$SANDBOX_DIR" && pwd) +SCRIPT_ABS=$(cd "$(dirname "$SCRIPT_PATH")" && pwd)/$(basename "$SCRIPT_PATH") + +# Security check: Ensure script is within sandbox +if [[ ! "$SCRIPT_ABS" == "$SANDBOX_ABS"* ]]; then + echo "Error: Script must be within sandbox directory" >&2 + exit 1 +fi + +# Set resource limits (prevents DoS) +# CPU time: 60 seconds +ulimit -t 60 2>/dev/null || true +# File size: 50MB (prevents filling disk) +ulimit -f 51200 2>/dev/null || true + +# Create a restricted Python wrapper script +cat > "$SANDBOX_DIR/.sandbox_wrapper.py" << 'WRAPPER_EOF' +import sys +import os +import builtins + +# Get sandbox directory from environment +SANDBOX_DIR = os.environ.get('SANDBOX_DIR', os.getcwd()) +SCRIPT_PATH = os.environ.get('SCRIPT_PATH', '') + +# Normalize sandbox path for comparisons +SANDBOX_REAL = os.path.realpath(SANDBOX_DIR) + +# Override built-in open to restrict WRITE access +_original_open = builtins.open + +def restricted_open(file, mode='r', *args, **kwargs): + """Restricted open that blocks writes outside sandbox directory""" + # Allow all reads + # Block writes outside sandbox + if any(m in str(mode) for m in ['w', 'a', 'x', '+']): + # This is a write operation - validate path + if not os.path.isabs(file): + file = os.path.join(os.getcwd(), file) + file_real = os.path.normpath(os.path.realpath(file)) + + # Check if file is within sandbox + if not file_real.startswith(SANDBOX_REAL + os.sep) and file_real != SANDBOX_REAL: + raise PermissionError(f"Write access denied: {file} is outside sandbox directory") + + return _original_open(file, mode, *args, **kwargs) + +# Replace built-in open +builtins.open = restricted_open + +# Wrap os module write functions +_original_os_remove = os.remove if hasattr(os, 'remove') else None +_original_os_unlink = os.unlink if hasattr(os, 'unlink') else None +_original_os_rmdir = os.rmdir if hasattr(os, 'rmdir') else None +_original_os_mkdir = os.mkdir if hasattr(os, 'mkdir') else None +_original_os_makedirs = os.makedirs if hasattr(os, 'makedirs') else None + +def validate_write_path(path): + """Ensure write path is within sandbox""" + if not os.path.isabs(path): + path = os.path.join(os.getcwd(), path) + path_real = os.path.realpath(path) + + if not path_real.startswith(SANDBOX_REAL + os.sep) and path_real != SANDBOX_REAL: + raise PermissionError(f"Write access denied: {path} is outside sandbox directory") + return path + +def restricted_os_remove(path): + validate_write_path(path) + return _original_os_remove(path) + +def restricted_os_mkdir(path, *args, **kwargs): + validate_write_path(path) + return _original_os_mkdir(path, *args, **kwargs) + +def restricted_os_makedirs(path, *args, **kwargs): + validate_write_path(path) + return _original_os_makedirs(path, *args, **kwargs) + +# Replace os module write functions +if _original_os_remove: + os.remove = restricted_os_remove + os.unlink = restricted_os_remove +if _original_os_rmdir: + os.rmdir = restricted_os_remove +if _original_os_mkdir: + os.mkdir = restricted_os_mkdir +if _original_os_makedirs: + os.makedirs = restricted_os_makedirs + +# Change to sandbox directory (prevents relative path escapes) +os.chdir(SANDBOX_DIR) + +# Store original import function +original_import = builtins.__import__ + +def restricted_import(name, *args, **kwargs): + """Block dangerous module imports""" + # Block network modules + if name in ['urllib', 'http', 'ftplib', 'smtplib', 'requests']: + raise ImportError(f"Module '{name}' is not allowed in sandbox") + + # Allow import + result = original_import(name, *args, **kwargs) + + # If subprocess is imported, block all execution functions + if name == 'subprocess': + def blocked_call(*args, **kwargs): + raise PermissionError("Subprocess execution is not allowed in sandbox") + + result.call = blocked_call + result.check_call = blocked_call + result.check_output = blocked_call + result.run = blocked_call + result.Popen = blocked_call + + return result + +# Replace the import function +builtins.__import__ = restricted_import + +# Execute the user script +script_name = os.path.basename(SCRIPT_PATH) +with _original_open(SCRIPT_PATH, 'r') as f: + code = f.read() + +# Execute in restricted namespace +exec(compile(code, script_name, 'exec'), { + '__name__': '__main__', + '__file__': script_name, + '__builtins__': builtins, +}) +WRAPPER_EOF + +# Export environment variables for the wrapper +export SANDBOX_DIR="$SANDBOX_ABS" +export SCRIPT_PATH="$SCRIPT_ABS" + +# Execute Python with the wrapper script +python3 "$SANDBOX_DIR/.sandbox_wrapper.py" +EXIT_CODE=$? + +# Cleanup +rm -f "$SANDBOX_DIR/.sandbox_wrapper.py" + +exit $EXIT_CODE diff --git a/agent/utilities/python_sandbox_windows.bat b/agent/utilities/python_sandbox_windows.bat new file mode 100644 index 00000000..ab1c5d73 --- /dev/null +++ b/agent/utilities/python_sandbox_windows.bat @@ -0,0 +1,152 @@ +@echo off +REM Python Sandbox Wrapper for Windows +REM +REM !! WARNING !! +REM This Windows sandbox provides MINIMAL security and is NOT production-ready. +REM It is intended for LOCAL DEVELOPMENT ONLY. +REM DO NOT use this for publicly hosted services. +REM +REM For production deployments, use Linux/macOS with the bash sandbox script. +REM +REM Usage: python_sandbox_windows.bat + +if "%~2"=="" ( + echo Usage: %0 ^ ^ 1>&2 + exit /b 1 +) + +set SANDBOX_DIR=%~1 +set SCRIPT_PATH=%~2 + +REM Validate that sandbox directory exists +if not exist "%SANDBOX_DIR%" ( + echo Error: Sandbox directory does not exist: %SANDBOX_DIR% 1>&2 + exit /b 1 +) + +REM Validate that script exists +if not exist "%SCRIPT_PATH%" ( + echo Error: Script does not exist: %SCRIPT_PATH% 1>&2 + exit /b 1 +) + +REM Get absolute paths +pushd "%SANDBOX_DIR%" +set SANDBOX_ABS=%CD% +popd + +pushd "%SCRIPT_PATH%\.." +set SCRIPT_DIR=%CD% +popd +set SCRIPT_NAME=%~nx2 +set SCRIPT_ABS=%SCRIPT_DIR%\%SCRIPT_NAME% + +REM Security check: Ensure script is within sandbox +echo %SCRIPT_ABS% | findstr /C:"%SANDBOX_ABS%" >nul +if errorlevel 1 ( + echo Error: Script must be within sandbox directory 1>&2 + exit /b 1 +) + +REM Create a restricted Python wrapper script +( +echo import sys +echo import os +echo import builtins +echo. +echo # !! WARNING: Windows sandbox provides minimal security !! +echo # For production use, deploy on Linux/macOS +echo. +echo SANDBOX_DIR = os.environ.get^('SANDBOX_DIR', os.getcwd^(^)^) +echo SCRIPT_PATH = os.environ.get^('SCRIPT_PATH', ''^) +echo SANDBOX_REAL = os.path.realpath^(SANDBOX_DIR^) +echo. +echo _original_open = builtins.open +echo. +echo def restricted_open^(file, mode='r', *args, **kwargs^): +echo """Restricted open that blocks writes outside sandbox directory""" +echo if any^(m in str^(mode^) for m in ['w', 'a', 'x', '+']^): +echo if not os.path.isabs^(file^): +echo file = os.path.join^(os.getcwd^(^), file^) +echo file_real = os.path.normpath^(os.path.realpath^(file^)^) +echo if not file_real.startswith^(SANDBOX_REAL + os.sep^) and file_real != SANDBOX_REAL: +echo raise PermissionError^(f"Write access denied: {file} is outside sandbox directory"^) +echo return _original_open^(file, mode, *args, **kwargs^) +echo. +echo builtins.open = restricted_open +echo. +echo _original_os_remove = os.remove if hasattr^(os, 'remove'^) else None +echo _original_os_mkdir = os.mkdir if hasattr^(os, 'mkdir'^) else None +echo _original_os_makedirs = os.makedirs if hasattr^(os, 'makedirs'^) else None +echo. +echo def validate_write_path^(path^): +echo if not os.path.isabs^(path^): +echo path = os.path.join^(os.getcwd^(^), path^) +echo path_real = os.path.realpath^(path^) +echo if not path_real.startswith^(SANDBOX_REAL + os.sep^) and path_real != SANDBOX_REAL: +echo raise PermissionError^(f"Write access denied: {path} is outside sandbox directory"^) +echo return path +echo. +echo def restricted_os_remove^(path^): +echo validate_write_path^(path^) +echo return _original_os_remove^(path^) +echo. +echo def restricted_os_mkdir^(path, *args, **kwargs^): +echo validate_write_path^(path^) +echo return _original_os_mkdir^(path, *args, **kwargs^) +echo. +echo def restricted_os_makedirs^(path, *args, **kwargs^): +echo validate_write_path^(path^) +echo return _original_os_makedirs^(path, *args, **kwargs^) +echo. +echo if _original_os_remove: +echo os.remove = restricted_os_remove +echo os.unlink = restricted_os_remove +echo if _original_os_mkdir: +echo os.mkdir = restricted_os_mkdir +echo if _original_os_makedirs: +echo os.makedirs = restricted_os_makedirs +echo. +echo os.chdir^(SANDBOX_DIR^) +echo. +echo original_import = builtins.__import__ +echo. +echo def restricted_import^(name, *args, **kwargs^): +echo if name in ['urllib', 'http', 'ftplib', 'smtplib', 'requests']: +echo raise ImportError^(f"Module '{name}' is not allowed in sandbox"^) +echo result = original_import^(name, *args, **kwargs^) +echo if name == 'subprocess': +echo def blocked_call^(*args, **kwargs^): +echo raise PermissionError^("Subprocess execution is not allowed in sandbox"^) +echo result.call = blocked_call +echo result.check_call = blocked_call +echo result.check_output = blocked_call +echo result.run = blocked_call +echo result.Popen = blocked_call +echo return result +echo. +echo builtins.__import__ = restricted_import +echo. +echo script_name = os.path.basename^(SCRIPT_PATH^) +echo with _original_open^(SCRIPT_PATH, 'r'^) as f: +echo code = f.read^(^) +echo. +echo exec^(compile^(code, script_name, 'exec'^), { +echo '__name__': '__main__', +echo '__file__': script_name, +echo '__builtins__': builtins, +echo }^) +) > "%SANDBOX_DIR%\.sandbox_wrapper.py" + +REM Export environment variables +set SANDBOX_DIR=%SANDBOX_ABS% +set SCRIPT_PATH=%SCRIPT_ABS% + +REM Execute Python with the wrapper script +python "%SANDBOX_DIR%\.sandbox_wrapper.py" +set EXIT_CODE=%ERRORLEVEL% + +REM Cleanup +del "%SANDBOX_DIR%\.sandbox_wrapper.py" 2>nul + +exit /b %EXIT_CODE% diff --git a/tests/agent/sandbox.test.js b/tests/agent/sandbox.test.js new file mode 100644 index 00000000..5fd8c7bc --- /dev/null +++ b/tests/agent/sandbox.test.js @@ -0,0 +1,396 @@ +/** + * Unit tests for Python sandbox security + * Tests the python_sandbox.sh wrapper for directory isolation + */ + +import { jest } from '@jest/globals'; +import { mkdirSync, writeFileSync, rmSync, existsSync, readFileSync } from 'fs'; +import { join } from 'path'; +import { tmpdir } from 'os'; +import { spawn } from 'child_process'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); +const SANDBOX_SCRIPT = join(__dirname, '../../agent/utilities/python_sandbox.sh'); + +let testSandbox; +let outsideDir; + +/** + * Execute a Python script in the sandbox + */ +async function executeSandboxScript(script) { + const scriptPath = join(testSandbox, `test_${Date.now()}.py`); + writeFileSync(scriptPath, script); + + return new Promise((resolve) => { + const proc = spawn(SANDBOX_SCRIPT, [testSandbox, scriptPath], { + timeout: 10000 + }); + + let stdout = ''; + let stderr = ''; + + proc.stdout.on('data', (data) => { stdout += data.toString(); }); + proc.stderr.on('data', (data) => { stderr += data.toString(); }); + + proc.on('close', (code) => { + resolve({ code, stdout, stderr }); + }); + + proc.on('error', (err) => { + resolve({ code: -1, stdout: '', stderr: err.message }); + }); + }); +} + +describe('Python Sandbox - File Write Restrictions', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + outsideDir = join(tmpdir(), 'outside-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + mkdirSync(outsideDir, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + rmSync(outsideDir, { recursive: true, force: true }); + }); + + it('should block writing files outside sandbox using absolute path', async () => { + const targetFile = join(outsideDir, 'hacked.txt'); + const result = await executeSandboxScript(` +try: + with open('${targetFile}', 'w') as f: + f.write('HACKED') + exit(1) # Should not reach here +except PermissionError: + pass # Expected +`); + + expect(result.code).toBe(0); + expect(existsSync(targetFile)).toBe(false); + }); + + it('should block writing files outside sandbox using path traversal', async () => { + const result = await executeSandboxScript(` +try: + with open('../../../etc/passwd', 'w') as f: + f.write('HACKED') + exit(1) # Should not reach here +except PermissionError: + pass # Expected +`); + + expect(result.code).toBe(0); + }); + + it('should allow writing files inside sandbox', async () => { + const result = await executeSandboxScript(` +with open('allowed.txt', 'w') as f: + f.write('This is allowed') +print('SUCCESS') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('SUCCESS'); + expect(existsSync(join(testSandbox, 'allowed.txt'))).toBe(true); + }); + + it('should block creating directories outside sandbox', async () => { + const targetDir = join(outsideDir, 'newdir'); + const result = await executeSandboxScript(` +import os +try: + os.mkdir('${targetDir}') + exit(1) # Should not reach here +except PermissionError: + pass # Expected +`); + + expect(result.code).toBe(0); + expect(existsSync(targetDir)).toBe(false); + }); + + it('should allow creating directories inside sandbox', async () => { + const result = await executeSandboxScript(` +import os +os.mkdir('subdir') +print('SUCCESS') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('SUCCESS'); + expect(existsSync(join(testSandbox, 'subdir'))).toBe(true); + }); + + it('should block removing files outside sandbox', async () => { + const targetFile = join(outsideDir, 'victim.txt'); + writeFileSync(targetFile, 'victim content'); + + const result = await executeSandboxScript(` +import os +try: + os.remove('${targetFile}') + exit(1) # Should not reach here +except PermissionError: + pass # Expected +`); + + expect(result.code).toBe(0); + expect(existsSync(targetFile)).toBe(true); + }); +}); + +describe('Python Sandbox - File Read Permissions', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + }); + + it('should allow reading system files', async () => { + const result = await executeSandboxScript(` +with open('/etc/hosts', 'r') as f: + content = f.read() + assert len(content) > 0 +print('SUCCESS') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('SUCCESS'); + }); + + it('should allow reading files inside sandbox', async () => { + writeFileSync(join(testSandbox, 'readable.txt'), 'test content'); + + const result = await executeSandboxScript(` +with open('readable.txt', 'r') as f: + content = f.read() + assert content == 'test content' +print('SUCCESS') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('SUCCESS'); + }); +}); + +describe('Python Sandbox - Subprocess Blocking', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + }); + + it('should block subprocess.run()', async () => { + const result = await executeSandboxScript(` +import subprocess +try: + subprocess.run(['ls', '/']) + exit(1) # Should not reach here +except PermissionError: + pass # Expected +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); + + it('should block subprocess.call()', async () => { + const result = await executeSandboxScript(` +import subprocess +try: + subprocess.call(['echo', 'test']) + exit(1) # Should not reach here +except PermissionError: + pass # Expected +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); + + it('should block subprocess.Popen()', async () => { + const result = await executeSandboxScript(` +import subprocess +try: + subprocess.Popen(['ls']) + exit(1) # Should not reach here +except PermissionError: + pass # Expected +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); +}); + +describe('Python Sandbox - Network Blocking', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + }); + + it('should block urllib import', async () => { + const result = await executeSandboxScript(` +try: + import urllib + exit(1) # Should not reach here +except ImportError: + pass # Expected +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); + + it('should block requests import', async () => { + const result = await executeSandboxScript(` +try: + import requests + exit(1) # Should not reach here +except ImportError: + pass # Expected +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); +}); + +describe('Python Sandbox - Resource Limits', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + }); + + it('should enforce CPU time limit', async () => { + const result = await executeSandboxScript(` +import time +try: + # Try to run for longer than ulimit allows + for i in range(100000000): + x = i * i +except: + pass +print('DONE') +`); + + // Script should either complete or be killed by ulimit + expect([0, 137]).toContain(result.code); + }); + + it('should enforce file size limit', async () => { + const result = await executeSandboxScript(` +try: + # Try to write more than 50MB (ulimit -f 51200 blocks) + with open('large.txt', 'w') as f: + f.write('x' * (60 * 1024 * 1024)) # 60MB + print('WROTE_LARGE_FILE') +except: + print('BLOCKED_LARGE_FILE') +`); + + // Should be blocked by file size limit + expect( + result.stdout.includes('BLOCKED_LARGE_FILE') || result.code !== 0 + ).toBe(true); + }); +}); + +describe('Python Sandbox - Path Traversal Prevention', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + outsideDir = join(tmpdir(), 'outside-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + mkdirSync(outsideDir, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + rmSync(outsideDir, { recursive: true, force: true }); + }); + + it('should block ../../../ path traversal', async () => { + const result = await executeSandboxScript(` +try: + with open('../../../etc/passwd', 'w') as f: + f.write('HACKED') + exit(1) +except PermissionError: + pass +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); + + it('should block symlink-based escapes', async () => { + const result = await executeSandboxScript(` +import os +try: + os.symlink('${outsideDir}', 'escape_link') + with open('escape_link/hacked.txt', 'w') as f: + f.write('HACKED') + exit(1) +except (PermissionError, OSError): + pass +print('BLOCKED') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('BLOCKED'); + }); +}); + +describe('Python Sandbox - Matplotlib Compatibility', () => { + beforeEach(() => { + testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); + mkdirSync(testSandbox, { recursive: true }); + }); + + afterEach(() => { + rmSync(testSandbox, { recursive: true, force: true }); + }); + + it('should allow matplotlib to create visualizations', async () => { + const result = await executeSandboxScript(` +import matplotlib +matplotlib.use('Agg') +import matplotlib.pyplot as plt + +fig, ax = plt.subplots() +ax.plot([1, 2, 3], [1, 4, 9]) +plt.savefig('test.png') +plt.close() +print('SUCCESS') +`); + + expect(result.code).toBe(0); + expect(result.stdout).toContain('SUCCESS'); + expect(existsSync(join(testSandbox, 'test.png'))).toBe(true); + }, 30000); // Increase timeout for matplotlib import +}); From 72aaa527ffa758d75b136ee20f512c4b54f2a2cd Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 17 Apr 2026 12:12:03 -0400 Subject: [PATCH 010/226] Prepping for integration with Stella - make core commands a part of the framework not custom tools. --- agent/README.md | 136 ++++++- agent/test-client.html | 355 ++++++++++-------- agent/tools/BuiltInTools.js | 352 ++++++++++++++++-- agent/utilities/AgentConfigurationManager.js | 2 + agent/utilities/MessageProtocol.js | 366 +++++++++++-------- agent/utilities/SessionManager.js | 16 +- agent/utilities/VisualizationEngine.js | 25 +- agent/websocket.js | 63 +++- app.js | 42 ++- config.js | 2 +- utilities/ZodToStructuredOutputConverter.js | 4 + 11 files changed, 987 insertions(+), 376 deletions(-) diff --git a/agent/README.md b/agent/README.md index 61f1fa47..4d6a9602 100644 --- a/agent/README.md +++ b/agent/README.md @@ -22,13 +22,13 @@ This WebSocket server provides an AI agent (powered by Claude) that helps users The **client** owns and maintains: - Complete model state (SD-JSON format) - All simulation run data -- Full conversation history -- Visualization history +- Full conversation history (including user messages, agent responses, and visualizations) +- Message log for session resumption The **server** maintains (in-memory only): - Active WebSocket sessions - Model type (CLD or SFD) - set once, never changes -- Conversation context +- Conversation context (can be seeded with historical messages) - Pending tool calls and feedback requests - Session-specific temp folders @@ -134,12 +134,78 @@ Establishes a session with authentication, model type, initial model, client too } } ], + "historicalMessages": [ + { + "type": "user_text", + "content": "Build me a population model" + }, + { + "type": "agent_text", + "content": "I'll help you build a population model...", + "isThinking": false + } + ], "context": { "description": "Optional context about the modeling task" } } ``` +### Historical Messages + +The `historicalMessages` field allows clients to provide conversation history from a previous session, enabling context continuity across reconnections or new sessions. + +**Message Types:** + +1. **user_text** - User chat message +```json +{ + "type": "user_text", + "content": "Build me a population model" +} +``` + +2. **agent_text** - Agent response or thinking +```json +{ + "type": "agent_text", + "content": "I'll create a simple population model with births and deaths", + "isThinking": false +} +``` + +3. **visualization** - Previous visualization (optional, for display purposes) +```json +{ + "type": "visualization", + "visualizationId": "viz_123", + "visualizationTitle": "Population Growth", + "visualizationDescription": "Shows exponential growth", + "imageData": "base64-encoded-png-data..." +} +``` + +4. **agent_complete** - Agent completion message +```json +{ + "type": "agent_complete", + "content": "I've completed building your model", + "status": "success" +} +``` + +**Use Cases:** +- Resume conversation after client restart +- Provide context when switching agents mid-session +- Share conversation history across devices +- Load saved modeling sessions + +**Important Notes:** +- Historical messages are converted to agent conversation context +- Visualizations in history are logged but not re-rendered +- Server uses messages to understand previous context but doesn't persist them +- Client is responsible for maintaining and providing the complete history + **Fields:** - `authenticationKey` - Server authentication (can be disabled in config) - `clientProduct` - Client identifier (e.g., "sd-web", "sd-desktop") @@ -147,6 +213,7 @@ Establishes a session with authentication, model type, initial model, client too - `modelType` - Either `"cld"` or `"sfd"` - **cannot be changed during session** - `model` - Initial model state (can be empty) - `tools` - Array of client tool definitions (see Client Tool Registration below) +- `historicalMessages` - Optional array of previous messages to provide context (see Historical Messages below) - `context` - Optional contextual information #### 2. Select Agent @@ -271,8 +338,8 @@ Sent after successful initialization. Lists available agents for selection. } ], "defaults": { - "sfd": "ganos-lal", - "cld": "ganos-lal" + "sfd": "myrddin", + "cld": "myrddin" }, "timestamp": "2025-01-15T10:30:00.100Z" } @@ -404,10 +471,12 @@ Sends visualization data to the client as base64 encoded PNG images. "title": "Population Growth Over Time", "description": "Shows exponential growth pattern", "format": "image", - "data": "iVBORw0KGgoAAAANSUhEUgAAA...", - "metadata": { - "createdBy": "generate_quantitative_model", - "variables": ["Population"] + "data": { + "encoding": "base64", + "mimeType": "image/png", + "content": "iVBORw0KGgoAAAANSUhEUgAAA...", + "width": 800, + "height": 600 }, "timestamp": "2025-01-15T10:30:05.000Z" } @@ -415,7 +484,13 @@ Sends visualization data to the client as base64 encoded PNG images. **Format:** - All visualizations are returned as base64-encoded PNG images -- The `data` field contains the base64 string directly +- The `data` field is an object containing: + - `encoding`: Always "base64" + - `mimeType`: Image MIME type (e.g., "image/png") + - `content`: Base64-encoded image data + - `width`: Image width in pixels + - `height`: Image height in pixels +- `description` is optional #### 9. Show Intermediate Model @@ -450,17 +525,17 @@ Requests feedback loop analysis data from the client (used by Seldon engine for "type": "feedback_request", "sessionId": "sess_abc123", "requestId": "feedback_xyz789", - "runId": "run_12345", - "comparative": false, + "runIds": ["run_baseline", "run_policy"], "timestamp": "2025-01-15T10:30:07.000Z" } ``` **Fields:** -- `runId` - Specific run ID for single-run feedback (optional) -- `comparative` - If `true`, request feedback for ALL runs for comparison +- `runIds` - Array of simulation run IDs to get feedback for + - Empty array `[]` means the current/most recent run + - Multiple run IDs means request comparative feedback for those runs -**Client Response:** Send `tool_call_response` with: +**Client Response (Single Run):** Send `tool_call_response` with: ```json { "type": "tool_call_response", @@ -482,7 +557,33 @@ Requests feedback loop analysis data from the client (used by Seldon engine for ] } ] - } + }, + "runIds": ["run_current"] + } +} +``` + +**Client Response (Multiple Runs):** Send `tool_call_response` with: +```json +{ + "type": "tool_call_response", + "sessionId": "sess_abc123", + "callId": "feedback_xyz789", + "result": { + "feedbackContent": { + "runs": { + "run_baseline": { + "loops": [...] + }, + "run_policy": { + "loops": [...] + } + }, + "comparison": { + "differenceExplanation": "Policy intervention shifts dominance..." + } + }, + "runIds": ["run_baseline", "run_policy"] } } ``` @@ -872,7 +973,8 @@ ws.on('message', (data) => { case 'visualization': console.log('Received visualization:', message.title); - // Display visualization using message.data + // Display visualization using message.data.content + // Example: break; case 'agent_complete': diff --git a/agent/test-client.html b/agent/test-client.html index a75c880d..38240b2f 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -290,7 +290,7 @@

SD-AI Agent WebSocket Test Client

1Connection

- +
@@ -584,6 +584,26 @@

Visualizations

handleFeedbackRequest(message); break; + case 'get_current_model': + handleGetCurrentModel(message); + break; + + case 'update_model': + handleUpdateModel(message); + break; + + case 'run_model': + handleRunModel(message); + break; + + case 'get_run_info': + handleGetRunInfo(message); + break; + + case 'get_variable_data': + handleGetVariableData(message); + break; + case 'show_intermediate_model': log(`Server wants to show intermediate model: ${message.purpose}`); log(`Display mode: ${message.displayMode}`); @@ -667,7 +687,7 @@

Visualizations

} function handleVisualization(message) { - const { visualizationId, title, description, format, data, metadata } = message; + const { visualizationId, title, description, format, data } = message; log(`📊 Visualization received: ${title || visualizationId}`); const visualizationsContainer = document.getElementById('visualizations'); @@ -696,11 +716,13 @@

Visualizations

vizItem.appendChild(descEl); } - // Display the image - if (format === 'image' && data && data.base64) { + // Display the image (new format: data.content with data.encoding) + if (format === 'image' && data && data.content && data.encoding === 'base64') { const img = document.createElement('img'); - img.src = `data:${data.mimeType || 'image/png'};base64,${data.base64}`; + img.src = `data:${data.mimeType || 'image/png'};base64,${data.content}`; img.alt = title || 'Visualization'; + if (data.width) img.width = data.width; + if (data.height) img.height = data.height; vizItem.appendChild(img); } else { const errorMsg = document.createElement('p'); @@ -709,17 +731,6 @@

Visualizations

vizItem.appendChild(errorMsg); } - // Add metadata - if (metadata) { - const metaEl = document.createElement('div'); - metaEl.className = 'visualization-meta'; - const metaParts = []; - if (metadata.createdBy) metaParts.push(`Created by: ${metadata.createdBy}`); - if (metadata.variables) metaParts.push(`Variables: ${metadata.variables.join(', ')}`); - metaEl.textContent = metaParts.join(' | '); - vizItem.appendChild(metaEl); - } - // Add to container (prepend to show newest first) visualizationsContainer.insertBefore(vizItem, visualizationsContainer.firstChild); @@ -727,17 +738,27 @@

Visualizations

} function handleFeedbackRequest(message) { - const { requestId, runId, comparative } = message; - log(`Feedback request received for ${comparative ? 'all runs (comparative)' : `runId: ${runId || 'latest'}`}`); + const { requestId, runIds } = message; + + // Empty array means current run + const requestedRunIds = runIds.length === 0 ? ['run_latest'] : runIds; + const isMultipleRuns = requestedRunIds.length > 1; + + log(`Feedback request received for runIds: [${requestedRunIds.join(', ')}] (${isMultipleRuns ? 'multiple runs' : 'single run'})`); // Generate hard-coded feedback loop analysis data let feedbackContent; - if (comparative) { - // Return comparative feedback data for multiple runs + if (isMultipleRuns) { + // Return feedback data for multiple runs (comparative) feedbackContent = { - runs: { - 'run_baseline': { + runs: {} + }; + + // Generate feedback for each requested run + requestedRunIds.forEach(runId => { + if (runId.includes('baseline') || runId === 'run_latest') { + feedbackContent.runs[runId] = { loops: [ { id: 'loop_1', @@ -754,8 +775,9 @@

Visualizations

] } ] - }, - 'run_policy': { + }; + } else { + feedbackContent.runs[runId] = { loops: [ { id: 'loop_1', @@ -786,11 +808,12 @@

Visualizations

] } ] - } - }, - comparison: { - differenceExplanation: 'Policy intervention shifts dominance from growth loop to balancing loop' + }; } + }); + + feedbackContent.comparison = { + differenceExplanation: 'Policy intervention shifts dominance from growth loop to balancing loop' }; } else { // Return single run feedback data @@ -849,16 +872,18 @@

Visualizations

callId: requestId, // Use requestId as callId result: { feedbackContent: feedbackContent, - runId: runId || 'run_latest', - comparative: comparative || false + runIds: requestedRunIds }, isError: false }); - log(`✓ Feedback response sent (${comparative ? 'comparative' : 'single run'})`, 'sent'); + log(`✓ Feedback response sent for ${requestedRunIds.length} run(s)`, 'sent'); }, 100); } - function generateMockToolResult(toolName, toolInput) { + function handleGetCurrentModel(message) { + const { requestId } = message; + log('Get current model request received'); + let currentModel; try { currentModel = JSON.parse(elements.modelData.value); @@ -866,92 +891,157 @@

Visualizations

currentModel = { variables: [], error: 'Invalid model JSON' }; } - switch (toolName) { - case 'get_current_model': - return { model: currentModel }; + // Send response back to server using tool_call_response format + setTimeout(() => { + send({ + type: 'tool_call_response', + sessionId: sessionId, + callId: requestId, + result: currentModel, + isError: false + }); + log('✓ Current model sent', 'sent'); + }, 100); + } - case 'update_model': - // Set/update the model - no distinction between create and update - // Always update local display and return the full model - if (toolInput && toolInput.model) { - elements.modelData.value = JSON.stringify(toolInput.model, null, 2); - log('✓ Model set/updated', 'received'); - } - // Return the full model (not incremental changes) - const updatedModel = toolInput.model || currentModel; - return { success: true, model: updatedModel }; + function handleUpdateModel(message) { + const { requestId, modelData } = message; + log('Update model request received'); - case 'run_model': - // Generate dummy simulation data based on current model - const variables = currentModel.variables || []; - const timePoints = 100; - const series = []; + // Update the model in the UI + if (modelData) { + elements.modelData.value = JSON.stringify(modelData, null, 2); + log('✓ Model updated in UI', 'received'); + } - for (let t = 0; t <= timePoints; t++) { - const point = { time: t }; - // Add dummy data for each variable in the model - variables.forEach(variable => { - const varName = variable.name || variable.id || `var_${Math.random()}`; - // Generate some variety in the data with more realistic patterns - if (variable.type === 'stock') { - point[varName] = 1000 + t * 20 + Math.sin(t / 3) * 50; - } else if (variable.type === 'flow') { - point[varName] = 20 + Math.cos(t / 4) * 5; - } else { - point[varName] = 100 + t * 5; - } - }); - series.push(point); - } + // Send response back to server + setTimeout(() => { + send({ + type: 'tool_call_response', + sessionId: sessionId, + callId: requestId, + result: { success: true, model: modelData }, + isError: false + }); + log('✓ Update model response sent', 'sent'); + }, 100); + } - return { - success: true, - results: { series } - }; + function handleRunModel(message) { + const { requestId } = message; - case 'get_run_data': - // Generate random test data for requested variables - const requestedVariables = toolInput.variables || []; - const numPoints = 100; + log('Run model request received'); - // Generate time array - const timeArray = []; - for (let i = 0; i <= numPoints; i++) { - timeArray.push(i); - } + // Generate a unique run ID + const runId = `run_${Date.now()}`; - // Generate random data for each requested variable - const result = { - success: true, - runId: toolInput.runId || 'latest', - time: timeArray - }; + // Send response back to server + setTimeout(() => { + const result = { + runId: runId, + success: true + }; - requestedVariables.forEach(varName => { - const data = []; - const baseValue = Math.random() * 1000 + 100; // Random base between 100-1100 - const trend = (Math.random() - 0.5) * 10; // Random trend -5 to +5 - const amplitude = Math.random() * 100 + 20; // Random amplitude 20-120 - const frequency = Math.random() * 0.3 + 0.1; // Random frequency 0.1-0.4 - - for (let t = 0; t <= numPoints; t++) { - // Generate realistic-looking time series with trend + oscillation + noise - const trendComponent = trend * t; - const oscillation = amplitude * Math.sin(frequency * t); - const noise = (Math.random() - 0.5) * 20; - const value = Math.max(0, baseValue + trendComponent + oscillation + noise); - data.push(value); - } + send({ + type: 'tool_call_response', + sessionId: sessionId, + callId: requestId, + result: result, + isError: false + }); + log(`✓ Run model response sent (runId: ${runId})`, 'sent'); + }, 500); // Longer delay to simulate running + } - result[varName] = data; - }); + function handleGetRunInfo(message) { + const { requestId } = message; + log('Get run info request received'); - log(`✓ Generated random data for: ${requestedVariables.join(', ')}`, 'received'); - return result; + // Return mock run info with multiple runs + const runs = [ + { id: 'run_baseline', name: 'Baseline Run', metadata: { timestamp: '2024-01-15T10:00:00Z', description: 'Initial baseline' } }, + { id: 'run_policy', name: 'Policy Intervention', metadata: { timestamp: '2024-01-15T11:30:00Z', description: 'With new policy' } }, + { id: 'run_optimized', name: 'Optimized Parameters', metadata: { timestamp: '2024-01-15T14:00:00Z' } } + ]; - case 'show_intermediate_model': - log('Mock: Intermediate model shown in separate window'); - return { success: true }; + // Send response back to server + setTimeout(() => { + send({ + type: 'tool_call_response', + sessionId: sessionId, + callId: requestId, + result: { runs: runs }, + isError: false + }); + log(`✓ Run info sent (${runs.length} runs)`, 'sent'); + }, 100); + } + + function handleGetVariableData(message) { + const { requestId, variableNames: rawVariableNames, runIds: rawRunIds } = message; + + // Handle variableNames - could be array or string + let variableNames = []; + if (Array.isArray(rawVariableNames)) { + variableNames = rawVariableNames; + } else if (typeof rawVariableNames === 'string') { + variableNames = rawVariableNames.split(',').map(v => v.trim()).filter(v => v.length > 0); + } + + // Handle runIds - could be array or string + let runIds = []; + if (Array.isArray(rawRunIds)) { + runIds = rawRunIds; + } else if (typeof rawRunIds === 'string') { + runIds = rawRunIds.split(',').map(v => v.trim()).filter(v => v.length > 0); + } + + log(`Get variable data request received (variables: ${variableNames.join(', ')}, runs: ${runIds.join(', ')})`); + + // Generate mock data for requested variables and runs + const timePoints = 100; + const result = {}; + + runIds.forEach(runId => { + result[runId] = {}; + variableNames.forEach(varName => { + const data = []; + // Generate different data based on runId + const runMultiplier = runId.includes('baseline') ? 1.0 : runId.includes('policy') ? 0.7 : 0.9; + const baseValue = 100; + + for (let t = 0; t <= timePoints; t++) { + data.push({ + time: t, + value: (baseValue + Math.sin(t / 10) * 20 * runMultiplier) + Math.random() * 5 + }); + } + result[runId][varName] = data; + }); + }); + + // Send response back to server + setTimeout(() => { + send({ + type: 'tool_call_response', + sessionId: sessionId, + callId: requestId, + result: result, + isError: false + }); + log(`✓ Variable data sent`, 'sent'); + }, 200); + } + + function generateMockToolResult(toolName, toolInput) { + switch (toolName) { + case 'hello_world': + const name = toolInput?.name || 'World'; + return { + success: true, + message: `Hello ${name}! This is a dummy tool response from the test client.`, + timestamp: new Date().toISOString() + }; default: return { success: true, message: `Mock response for ${toolName}` }; @@ -972,58 +1062,15 @@

Visualizations

model: {}, tools: [ { - name: 'get_current_model', - description: 'Get the current model from the client', - inputSchema: { type: 'object', properties: {} } - }, - { - name: 'update_model', - description: 'Update the client model', + name: 'hello_world', + description: 'A simple dummy tool that returns a Hello World message', inputSchema: { type: 'object', properties: { - model: { type: 'object' }, - explanation: { type: 'string' } - } - } - }, - { - name: 'run_model', - description: 'Run model simulation', - inputSchema: { - type: 'object', - properties: { - timeRange: { type: 'object' } - } - } - }, - { - name: 'get_run_data', - description: 'Get time series data for specific variables from a simulation run', - inputSchema: { - type: 'object', - properties: { - runId: { + name: { type: 'string', - description: 'The ID of the simulation run (optional, defaults to latest run)' - }, - variables: { - type: 'array', - items: { type: 'string' }, - description: 'Array of variable names to retrieve data for' + description: 'Optional name to include in the greeting' } - }, - required: ['variables'] - } - }, - { - name: 'show_intermediate_model', - description: 'Show intermediate model in separate window', - inputSchema: { - type: 'object', - properties: { - model: { type: 'object' }, - displayMode: { type: 'string' } } } } diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index 4f6439c3..693123d8 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -9,7 +9,15 @@ import { callSeldonMentorEngine } from '../utilities/EngineWrapper.js'; import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; -import { SDModelSchema, createFeedbackRequestMessage } from '../utilities/MessageProtocol.js'; +import { + SDModelSchema, + createFeedbackRequestMessage, + createGetCurrentModelMessage, + createUpdateModelMessage, + createRunModelMessage, + createGetRunInfoMessage, + createGetVariableDataMessage +} from '../utilities/MessageProtocol.js'; import logger from '../../utilities/logger.js'; /** @@ -52,7 +60,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient name: 'sd_ai_engines', tools: { generate_quantitative_model: { - description: 'Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure. Use this for building computational models that can be simulated.', + description: 'Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure. Use this for building computational models that can be simulated. Automatically pushes the generated model to the client.', inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), currentModel: SDModelSchema.optional().describe('Existing model to build upon'), @@ -75,10 +83,34 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }; } + // Automatically push the generated model to the client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + await updatePromise; + // Build response const responseText = JSON.stringify({ model: result.model, - supportingInfo: result.supportingInfo + supportingInfo: result.supportingInfo, + pushedToClient: true }, null, 2); return { @@ -97,7 +129,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }, generate_qualitative_model: { - description: 'Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships. Use this for conceptual models focusing on system structure.', + description: 'Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships. Use this for conceptual models focusing on system structure. Automatically pushes the generated model to the client.', inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), currentModel: SDModelSchema.optional().describe('Existing model to build upon'), @@ -118,10 +150,34 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }; } + // Automatically push the generated model to the client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + await updatePromise; + // Build response const responseText = JSON.stringify({ model: result.model, - supportingInfo: result.supportingInfo + supportingInfo: result.supportingInfo, + pushedToClient: true }, null, 2); return { @@ -173,8 +229,8 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const requestId = generateRequestId('feedback'); - // Send request to client for feedback data - await sendToClient(createFeedbackRequestMessage(sessionId, requestId)); + // Send request to client for feedback data (empty array means all runs) + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { @@ -264,8 +320,8 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const requestId = generateRequestId('feedback'); - // Send request to client for comparative feedback data - await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runName, true)); + // Send request to client for comparative feedback data (empty array means all runs) + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { @@ -432,12 +488,11 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }, get_feedback_information: { - description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Can request feedback for a single run or for all runs (comparative analysis).', + description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Provide a list of run IDs to get feedback for.', inputSchema: z.object({ - runId: z.string().optional().describe('Simulation run ID to get feedback for. If not provided, gets feedback for the most recent run.'), - comparative: z.boolean().optional().describe('If true, requests feedback information for all runs to enable comparative analysis. Default: false') + runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for') }), - handler: async ({ runId, comparative }) => { + handler: async ({ runIds }) => { try { // Create a promise that will be resolved when client responds const session = sessionManager.getSession(sessionId); @@ -448,7 +503,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const requestId = generateRequestId('feedback'); // Send request to client for feedback data - await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runId, comparative || false)); + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runIds)); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { @@ -470,8 +525,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient type: 'text', text: JSON.stringify({ feedbackContent: feedbackData.feedbackContent, - runId: feedbackData.runId, - comparative: feedbackData.comparative || false + runIds: feedbackData.runIds }, null, 2) }] }; @@ -485,6 +539,243 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient } }, + get_current_model: { + description: 'Get the current model from the client. Returns the model data that is currently loaded in the client.', + inputSchema: z.object({}), + handler: async () => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + + // Send request to client for current model + await sendToClient(createGetCurrentModelMessage(sessionId, requestId)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Get current model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const modelData = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify(modelData, null, 2) + }] + }; + } catch (error) { + logger.error('get_current_model error:', error); + return { + content: [{ type: 'text', text: `Failed to get current model: ${error.message}` }], + isError: true + }; + } + } + }, + + update_model: { + description: 'Update the model in the client with new model data. This replaces the current model.', + inputSchema: z.object({ + modelData: z.any().describe('The model data to update in the client') + }), + handler: async ({ modelData }) => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + + // Send update request to client + await sendToClient(createUpdateModelMessage(sessionId, requestId, modelData)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const result = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ success: true, ...result }, null, 2) + }] + }; + } catch (error) { + logger.error('update_model error:', error); + return { + content: [{ type: 'text', text: `Failed to update model: ${error.message}` }], + isError: true + }; + } + } + }, + + run_model: { + description: 'Run the model simulation in the client. Returns a runId for the completed run.', + inputSchema: z.object({}), + handler: async () => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('run'); + + // Send run request to client + await sendToClient(createRunModelMessage(sessionId, requestId)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Run model timeout: Client did not respond within 60 seconds')); + }, 60000); // Longer timeout for model runs + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const result = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + runId: result.runId, + success: true, + ...result + }, null, 2) + }] + }; + } catch (error) { + logger.error('run_model error:', error); + return { + content: [{ type: 'text', text: `Failed to run model: ${error.message}` }], + isError: true + }; + } + } + }, + + get_run_info: { + description: 'Get information about all simulation runs. Returns a list of run objects, where each run object contains an id, name, and optional metadata.', + inputSchema: z.object({}), + handler: async () => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('runinfo'); + + // Send request to client for run info + await sendToClient(createGetRunInfoMessage(sessionId, requestId)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Get run info timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const runInfo = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + runs: runInfo.runs || [], + count: runInfo.runs?.length || 0 + }, null, 2) + }] + }; + } catch (error) { + logger.error('get_run_info error:', error); + return { + content: [{ type: 'text', text: `Failed to get run info: ${error.message}` }], + isError: true + }; + } + } + }, + + get_variable_data: { + description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs.', + inputSchema: z.object({ + variableNames: z.array(z.string()).describe('List of variable names to get data for'), + runIds: z.array(z.string()).describe('List of run IDs to get variable data from') + }), + handler: async ({ variableNames, runIds }) => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('vardata'); + + // Send request to client for variable data + await sendToClient(createGetVariableDataMessage(sessionId, requestId, variableNames, runIds)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Get variable data timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const variableData = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify(variableData, null, 2) + }] + }; + } catch (error) { + logger.error('get_variable_data error:', error); + return { + content: [{ type: 'text', text: `Failed to get variable data: ${error.message}` }], + isError: true + }; + } + } + }, + create_visualization: { description: `Create a data visualization and send it to the client for display in chat. @@ -539,22 +830,28 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu // Wrap base64 string in proper visualization message object const vizMessage = { + type: 'visualization', + sessionId: sessionId, visualizationId, title: title || 'Visualization', - description: description || '', format: 'image', data: { - base64: base64Image, - mimeType: 'image/png' - } + encoding: 'base64', + mimeType: 'image/png', + content: base64Image, + width: 800, + height: 600 + }, + timestamp: new Date().toISOString() }; + // Add description if provided + if (description) { + vizMessage.description = description; + } + // Send visualization to client - await sendToClient({ - type: 'visualization', - sessionId: sessionId, - ...vizMessage - }); + await sendToClient(vizMessage); return { content: [{ @@ -588,6 +885,11 @@ export function getBuiltInToolNames() { 'generate_documentation', 'generate_ltm_narrative', 'get_feedback_information', + 'get_current_model', + 'update_model', + 'run_model', + 'get_run_info', + 'get_variable_data', 'create_visualization' ]; } diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index c9084681..98fbe6fc 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -34,6 +34,8 @@ NEVER switch between CLD and SFD during a session. **SFDs (Stock Flow Diagrams) are QUANTITATIVE:** - SFDs have equations and can be simulated to produce time series behavior - Use run_model, get_run_data, and create_visualization for SFDs only +- ALWAYS check that stocks and variables that represent physical quantities (population, inventory, resources, etc.) cannot go negative +- Add appropriate constraints prevent negative values where they are physically impossible ## CRITICAL: Visualization Requests When a user requests a visualization: diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 1c5a3e93..cedfcc19 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -15,12 +15,12 @@ import { z } from 'zod'; * Uses passthrough to allow additional fields defined by LLMWrapper schemas */ export const SDModelSchema = z.object({ - variables: z.array(z.any()).optional(), - relationships: z.array(z.any()).optional(), - specs: z.object({}).passthrough().optional(), - modules: z.array(z.any()).optional(), - explanation: z.string().optional(), - title: z.string().optional() + variables: z.array(z.any()).optional().describe('Array of variables in the model (stocks, flows, auxiliaries, or CLD nodes)'), + relationships: z.array(z.any()).optional().describe('Array of relationships between variables (links, flows, or causal connections)'), + specs: z.object({}).passthrough().optional().describe('Model specifications including simulation settings, time bounds, and units'), + modules: z.array(z.any()).optional().describe('Array of modules or subsystems within the model'), + explanation: z.string().optional().describe('Natural language explanation of the model purpose and structure'), + title: z.string().optional().describe('Human-readable title of the model') }).passthrough().describe('SD-JSON model structure (CLD or SFD)'); // ============================================================================ @@ -28,62 +28,74 @@ export const SDModelSchema = z.object({ // ============================================================================ export const ToolDefinitionSchema = z.object({ - name: z.string(), - description: z.string(), + name: z.string().describe('Unique name identifier for the tool'), + description: z.string().describe('Human-readable description of what the tool does'), inputSchema: z.object({ - type: z.literal('object'), - properties: z.record(z.any()), - required: z.array(z.string()).optional() - }) + type: z.literal('object').describe('Schema type, must be "object"'), + properties: z.record(z.any()).describe('Map of parameter names to their schema definitions'), + required: z.array(z.string()).optional().describe('Array of required parameter names') + }).describe('JSON Schema defining the tool input parameters') }); +export const HistoricalMessageSchema = z.object({ + type: z.enum(['agent_text', 'visualization', 'agent_complete', 'user_text']).describe('Type of historical message'), + content: z.string().optional().describe('Text content (for agent_text, agent_complete, and user_text messages)'), + isThinking: z.boolean().optional().describe('Whether this is thinking text (for agent_text messages)'), + visualizationId: z.string().optional().describe('Unique ID for the visualization (for visualization messages)'), + visualizationTitle: z.string().optional().describe('Title of the visualization (for visualization messages)'), + visualizationDescription: z.string().optional().describe('Description of the visualization (for visualization messages)'), + imageData: z.string().optional().describe('Base64-encoded image data (for visualization messages)'), + status: z.string().optional().describe('Status for agent_complete messages') +}).describe('Historical message from a previous session'); + export const InitializeSessionMessageSchema = z.object({ - type: z.literal('initialize_session'), - sessionId: z.string().optional(), + type: z.literal('initialize_session').describe('Message type identifier'), + sessionId: z.string().optional().describe('Optional session ID to resume an existing session. If not provided, a new session will be created.'), authenticationKey: z.string().describe('Authentication key for server access'), clientProduct: z.string().describe('Client product name (e.g., "sd-web", "sd-desktop")'), clientVersion: z.string().describe('Client version (e.g., "1.0.0")'), modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), - model: SDModelSchema, - tools: z.array(ToolDefinitionSchema), - context: z.record(z.any()).optional(), - timestamp: z.string().optional() + model: SDModelSchema.describe('The initial model to work with'), + tools: z.array(ToolDefinitionSchema).describe('Array of client-side tools available for the agent to call'), + historicalMessages: z.array(HistoricalMessageSchema).optional().describe('Optional array of historical messages from a previous session to provide context'), + context: z.record(z.any()).optional().describe('Optional context information (metadata, user preferences, etc.)'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const SelectAgentMessageSchema = z.object({ - type: z.literal('select_agent'), - sessionId: z.string(), + type: z.literal('select_agent').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), agentId: z.string().describe('Agent ID to use (e.g., "myrddin", "ganos-lal")'), - timestamp: z.string().optional() + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ChatMessageSchema = z.object({ - type: z.literal('chat'), - sessionId: z.string(), - message: z.string(), - timestamp: z.string().optional() + type: z.literal('chat').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + message: z.string().describe('The user chat message text to send to the agent'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ToolCallResponseMessageSchema = z.object({ - type: z.literal('tool_call_response'), - sessionId: z.string(), - callId: z.string(), - result: z.any(), - isError: z.boolean().optional().default(false), - timestamp: z.string().optional() + type: z.literal('tool_call_response').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + callId: z.string().describe('The call ID from the tool_call_request being responded to'), + result: z.any().describe('The result data from executing the tool, or error message if isError is true'), + isError: z.boolean().optional().default(false).describe('Whether the tool execution resulted in an error'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ModelUpdatedNotificationSchema = z.object({ - type: z.literal('model_updated_notification'), - sessionId: z.string(), - model: SDModelSchema, - changeReason: z.string(), - timestamp: z.string().optional() + type: z.literal('model_updated_notification').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + model: SDModelSchema.describe('The updated model data'), + changeReason: z.string().describe('Human-readable explanation of why the model was updated'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const DisconnectMessageSchema = z.object({ - type: z.literal('disconnect'), - sessionId: z.string() + type: z.literal('disconnect').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier for the session to disconnect') }); export const ClientMessageSchema = z.discriminatedUnion('type', [ @@ -100,139 +112,157 @@ export const ClientMessageSchema = z.discriminatedUnion('type', [ // ============================================================================ export const SessionCreatedMessageSchema = z.object({ - type: z.literal('session_created'), - sessionId: z.string(), - timestamp: z.string().optional() + type: z.literal('session_created').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier for the newly created session'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const SessionReadyMessageSchema = z.object({ - type: z.literal('session_ready'), - sessionId: z.string(), + type: z.literal('session_ready').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), availableAgents: z.array(z.object({ - id: z.string(), - name: z.string(), - description: z.string() - })), - timestamp: z.string().optional() + id: z.string().describe('Unique agent identifier'), + name: z.string().describe('Human-readable agent name'), + description: z.string().describe('Description of the agent capabilities and personality') + })).describe('List of available agents the client can select from'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const AgentSelectedMessageSchema = z.object({ - type: z.literal('agent_selected'), - sessionId: z.string(), - agentId: z.string(), - agentName: z.string(), - timestamp: z.string().optional() + type: z.literal('agent_selected').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + agentId: z.string().describe('The ID of the agent that was selected'), + agentName: z.string().describe('The human-readable name of the agent that was selected'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const AgentTextMessageSchema = z.object({ - type: z.literal('agent_text'), - sessionId: z.string(), - content: z.string(), - isThinking: z.boolean().optional().default(false), - timestamp: z.string().optional() + type: z.literal('agent_text').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + content: z.string().describe('The text content from the agent (response, explanation, or thinking process)'), + isThinking: z.boolean().optional().default(false).describe('Whether this is thinking/reasoning text (true) or final response text (false)'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ToolCallNotificationMessageSchema = z.object({ - type: z.literal('tool_call_notification'), - sessionId: z.string(), - callId: z.string(), - toolName: z.string(), - arguments: z.record(z.any()), + type: z.literal('tool_call_notification').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + callId: z.string().describe('Unique identifier for this tool call'), + toolName: z.string().describe('Name of the tool being called'), + arguments: z.record(z.any()).describe('Map of argument names to values being passed to the tool'), isBuiltIn: z.boolean().describe('Whether this is a built-in tool (true) or client tool (false)'), - timestamp: z.string().optional() + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ToolCallRequestMessageSchema = z.object({ - type: z.literal('tool_call_request'), - sessionId: z.string(), - callId: z.string(), - toolName: z.string(), - arguments: z.record(z.any()), + type: z.literal('tool_call_request').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + callId: z.string().describe('Unique identifier for this tool call, used to match with the response'), + toolName: z.string().describe('Name of the client tool to execute'), + arguments: z.record(z.any()).describe('Map of argument names to values to pass to the tool'), timeout: z.number().optional().default(30000).describe('Timeout for client tool execution in milliseconds'), - timestamp: z.string().optional() + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ToolCallCompletedMessageSchema = z.object({ - type: z.literal('tool_call_completed'), - sessionId: z.string(), - callId: z.string(), - toolName: z.string(), - result: z.any(), - isError: z.boolean().optional().default(false), - responseType: z.enum(['model', 'discuss', 'ltm-discuss', 'other']).optional(), - timestamp: z.string().optional() + type: z.literal('tool_call_completed').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + callId: z.string().describe('The call ID from the tool_call_request or tool_call_notification'), + toolName: z.string().describe('Name of the tool that was executed'), + result: z.any().describe('The result data from the tool execution, or error message if isError is true'), + isError: z.boolean().optional().default(false).describe('Whether the tool execution resulted in an error'), + responseType: z.enum(['model', 'discuss', 'ltm-discuss', 'other']).optional().describe('Type of response: model (model generation), discuss (Seldon discussion), ltm-discuss (LTM narrative), or other'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const VisualizationMessageSchema = z.object({ - type: z.literal('visualization'), - sessionId: z.string(), - visualizationId: z.string(), - title: z.string(), - description: z.string().optional(), - format: z.enum(['plotly', 'image', 'vega']), - data: z.union([ - // Plotly format - z.object({ - data: z.array(z.any()), - layout: z.record(z.any()), - config: z.record(z.any()).optional() - }), - // Image format - z.object({ - encoding: z.literal('base64'), - mimeType: z.string(), - content: z.string(), - width: z.number(), - height: z.number() - }) - ]), - thumbnail: z.string().optional(), - metadata: z.object({ - createdBy: z.string(), - runId: z.string().optional(), - variables: z.array(z.string()).optional(), - timeRange: z.object({ - start: z.number(), - end: z.number() - }).optional() - }).optional(), - timestamp: z.string().optional() + type: z.literal('visualization').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + visualizationId: z.string().describe('Unique identifier for this visualization'), + title: z.string().describe('Human-readable title of the visualization'), + description: z.string().optional().describe('Optional detailed description of what the visualization shows'), + format: z.literal('image').describe('Visualization format: image (base64-encoded static image)'), + data: z.object({ + encoding: z.literal('base64').describe('Image encoding type'), + mimeType: z.string().describe('MIME type of the image (e.g., "image/png")'), + content: z.string().describe('Base64-encoded image data'), + width: z.number().describe('Image width in pixels'), + height: z.number().describe('Image height in pixels') + }).describe('Image visualization data'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const AgentCompleteMessageSchema = z.object({ - type: z.literal('agent_complete'), - sessionId: z.string(), - finalMessage: z.string().optional(), - status: z.enum(['success', 'error', 'awaiting_user']), - timestamp: z.string().optional() + type: z.literal('agent_complete').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + finalMessage: z.string().optional().describe('Optional final message from the agent summarizing the completion'), + status: z.enum(['success', 'error', 'awaiting_user']).describe('Completion status: success (task completed), error (failed), or awaiting_user (waiting for user input)'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ErrorMessageSchema = z.object({ - type: z.literal('error'), - sessionId: z.string(), - error: z.string(), - errorCode: z.string().optional(), - recoverable: z.boolean().optional().default(true), - timestamp: z.string().optional() + type: z.literal('error').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + error: z.string().describe('Human-readable error message'), + errorCode: z.string().optional().describe('Optional machine-readable error code for categorizing the error'), + recoverable: z.boolean().optional().default(true).describe('Whether the error is recoverable (session can continue) or fatal (session must end)'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ShowIntermediateModelMessageSchema = z.object({ - type: z.literal('show_intermediate_model'), - sessionId: z.string(), - modelType: z.enum(['cld', 'sfd']), - model: SDModelSchema, - purpose: z.string().describe('Why this intermediate model is being shown'), - displayMode: z.enum(['separate_window', 'inline', 'background']).describe('How the client should display this'), - timestamp: z.string().optional() + type: z.literal('show_intermediate_model').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram)'), + model: SDModelSchema.describe('The intermediate model to display'), + purpose: z.string().describe('Why this intermediate model is being shown (e.g., "showing iteration 3 of model refinement")'), + displayMode: z.enum(['separate_window', 'inline', 'background']).describe('How the client should display this: separate_window (new window/tab), inline (in chat), or background (store without immediate display)'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const FeedbackRequestMessageSchema = z.object({ - type: z.literal('feedback_request'), - sessionId: z.string(), - requestId: z.string(), - runId: z.string().optional().describe('Simulation run ID for single-run feedback'), - comparative: z.boolean().optional().default(false).describe('Whether to request comparative feedback for all runs'), - timestamp: z.string().optional() + type: z.literal('feedback_request').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + requestId: z.string().describe('Unique request identifier for tracking the response'), + runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for. Empty array means the current/most recent run.'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}); + +export const GetCurrentModelMessageSchema = z.object({ + type: z.literal('get_current_model').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + requestId: z.string().describe('Unique request identifier for tracking the response'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}); + +export const UpdateModelMessageSchema = z.object({ + type: z.literal('update_model').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + requestId: z.string().describe('Unique request identifier for tracking the response'), + modelData: z.any().describe('The model data to update in the client (can be complete model or partial update)'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}); + +export const RunModelMessageSchema = z.object({ + type: z.literal('run_model').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + requestId: z.string().describe('Unique request identifier for tracking the response'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}); + +export const GetRunInfoMessageSchema = z.object({ + type: z.literal('get_run_info').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + requestId: z.string().describe('Unique request identifier for tracking the response'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}); + +export const GetVariableDataMessageSchema = z.object({ + type: z.literal('get_variable_data').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + requestId: z.string().describe('Unique request identifier for tracking the response'), + variableNames: z.array(z.string()).describe('List of variable names to get data for'), + runIds: z.array(z.string()).describe('List of run IDs to get variable data from'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); export const ServerMessageSchema = z.discriminatedUnion('type', [ @@ -246,6 +276,11 @@ export const ServerMessageSchema = z.discriminatedUnion('type', [ VisualizationMessageSchema, ShowIntermediateModelMessageSchema, FeedbackRequestMessageSchema, + GetCurrentModelMessageSchema, + UpdateModelMessageSchema, + RunModelMessageSchema, + GetRunInfoMessageSchema, + GetVariableDataMessageSchema, AgentCompleteMessageSchema, ErrorMessageSchema ]); @@ -363,17 +398,15 @@ export function createToolCallCompletedMessage(sessionId, callId, toolName, resu }; } -export function createVisualizationMessage(sessionId, vizId, title, format, data, options = {}) { +export function createVisualizationMessage(sessionId, vizId, title, data, description = undefined) { return { type: 'visualization', sessionId, visualizationId: vizId, title, - description: options.description, - format, + ...(description && { description }), + format: 'image', data, - thumbnail: options.thumbnail, - metadata: options.metadata, timestamp: new Date().toISOString() }; } @@ -411,13 +444,60 @@ export function createShowIntermediateModelMessage(sessionId, modelType, model, }; } -export function createFeedbackRequestMessage(sessionId, requestId, runId = null, comparative = false) { +export function createFeedbackRequestMessage(sessionId, requestId, runIds) { return { type: 'feedback_request', sessionId, requestId, - ...(runId && { runId }), - comparative, + runIds, + timestamp: new Date().toISOString() + }; +} + +export function createGetCurrentModelMessage(sessionId, requestId) { + return { + type: 'get_current_model', + sessionId, + requestId, + timestamp: new Date().toISOString() + }; +} + +export function createUpdateModelMessage(sessionId, requestId, modelData) { + return { + type: 'update_model', + sessionId, + requestId, + modelData, + timestamp: new Date().toISOString() + }; +} + +export function createRunModelMessage(sessionId, requestId) { + return { + type: 'run_model', + sessionId, + requestId, + timestamp: new Date().toISOString() + }; +} + +export function createGetRunInfoMessage(sessionId, requestId) { + return { + type: 'get_run_info', + sessionId, + requestId, + timestamp: new Date().toISOString() + }; +} + +export function createGetVariableDataMessage(sessionId, requestId, variableNames, runIds) { + return { + type: 'get_variable_data', + sessionId, + requestId, + variableNames, + runIds, timestamp: new Date().toISOString() }; } diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 0e96266b..abb2fa9a 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -1,7 +1,7 @@ import { randomBytes } from 'crypto'; import { tmpdir } from 'os'; import { join } from 'path'; -import { existsSync, mkdirSync, readdirSync, unlinkSync, rmdirSync, statSync } from 'fs'; +import { existsSync, mkdirSync, readdirSync, statSync, rmSync } from 'fs'; import logger from '../../utilities/logger.js'; import config from '../../config.js'; @@ -278,18 +278,8 @@ export class SessionManager { cleanupSessionTempDir(tempDir) { try { if (existsSync(tempDir)) { - // Remove all files in the directory - const files = readdirSync(tempDir); - for (const file of files) { - try { - unlinkSync(join(tempDir, file)); - } catch (err) { - logger.warn(`Failed to delete temp file ${file}:`, err.message); - } - } - - // Remove the directory itself - rmdirSync(tempDir); + // Remove directory and all its contents recursively + rmSync(tempDir, { recursive: true, force: true }); logger.log(`Cleaned up temp directory: ${tempDir}`); } } catch (err) { diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 1115e176..09c166d2 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -166,15 +166,24 @@ ${options.customRequirements ? `\n## Additional Requirements\n${options.customRe Generate ONLY the Python code, no explanations. The code should be complete and ready to execute.`; try { - const response = await llm.generateResponse({ - systemPrompt, - messages: [{ role: 'user', content: userPrompt }], - temperature: 0.3, - model: LLMWrapper.NON_BUILD_DEFAULT_MODEL - }); + // Get LLM parameters + const { underlyingModel, temperature } = llm.getLLMParameters(0.3); + + // Create messages array + const messages = [ + { role: 'system', content: systemPrompt }, + { role: 'user', content: userPrompt } + ]; + + const response = await llm.createChatCompletion( + messages, + underlyingModel, + null, // no zodSchema + temperature + ); - // Extract Python code from response - let pythonCode = response.trim(); + // Extract Python code from response content + let pythonCode = response.content.trim(); // Remove markdown code blocks if present if (pythonCode.startsWith('```python')) { diff --git a/agent/websocket.js b/agent/websocket.js index 61e028f4..50379509 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -49,10 +49,10 @@ function getAvailableAgents() { logger.error('Failed to scan agent config directory:', err); } - // Hardcoded defaults - ganos-lal is the default agent for all model types + // Hardcoded defaults - myrddin is the default agent for all model types const defaults = { - sfd: 'ganos-lal', - cld: 'ganos-lal' + sfd: 'myrddin', + cld: 'myrddin' }; return { agents, defaults }; @@ -187,6 +187,50 @@ export function handleWebSocketConnection(ws, sessionManager) { message.context ); + // Process historical messages if provided + if (message.historicalMessages && message.historicalMessages.length > 0) { + for (const histMsg of message.historicalMessages) { + let role = 'assistant'; // Default to assistant + let content = ''; + + switch (histMsg.type) { + case 'user_text': + role = 'user'; + content = histMsg.content || ''; + break; + + case 'agent_text': + role = 'assistant'; + content = histMsg.content || ''; + break; + + case 'agent_complete': + role = 'assistant'; + content = histMsg.content || ''; + break; + + case 'visualization': + // For visualizations, create a summary message + role = 'assistant'; + content = `[Created visualization: ${histMsg.visualizationTitle || 'Untitled'}]`; + if (histMsg.visualizationDescription) { + content += ` ${histMsg.visualizationDescription}`; + } + break; + } + + if (content) { + // Add to conversation history + sessionManager.addToConversationHistory(sessionId, { + role: role, + content: content + }); + } + } + + logger.log(`Loaded ${message.historicalMessages.length} historical messages for session ${sessionId}`); + } + // Get available agents from config directory const { agents, defaults } = getAvailableAgents(); @@ -306,6 +350,19 @@ export function handleWebSocketConnection(ws, sessionManager) { session.pendingFeedbackRequests.delete(message.callId); logger.log(`Resolved feedback request: ${message.callId}`); + } else if (session?.pendingModelRequests?.has(message.callId)) { + // Check if it's a model request response (get_current_model, update_model, run_model, get_run_info, get_variable_data) + const pending = session.pendingModelRequests.get(message.callId); + clearTimeout(pending.timeout); + + if (message.isError) { + pending.reject(new Error(message.result)); + } else { + pending.resolve(message.result); + } + + session.pendingModelRequests.delete(message.callId); + logger.log(`Resolved model request: ${message.callId}`); } else { logger.warn(`Received response for unknown call ID: ${message.callId}`); } diff --git a/app.js b/app.js index 39e31dbd..b46ac855 100644 --- a/app.js +++ b/app.js @@ -40,14 +40,27 @@ app.use("/api/v1/leaderboard", v1Leaderboard); // Create HTTP server for REST API const server = createServer(app); -// Create separate HTTP server for WebSocket -const wsHttpServer = createServer(); +// Determine if WebSocket should run on same or separate port +const useSamePort = config.port === config.websocketPort; -// Create WebSocket server on separate port -const wss = new WebSocketServer({ - server: wsHttpServer, - path: '/api/v1/agent' -}); +// Create WebSocket server (either on same server or separate server) +let wsHttpServer; +let wss; + +if (useSamePort) { + // WebSocket on the same HTTP server as REST API + wss = new WebSocketServer({ + server: server, + path: '/api/v1' + }); +} else { + // WebSocket on a separate HTTP server and port + wsHttpServer = createServer(); + wss = new WebSocketServer({ + server: wsHttpServer, + path: '/api/v1' + }); +} wss.on('connection', (ws) => { handleWebSocketConnection(ws, sessionManager); @@ -71,10 +84,15 @@ process.on('SIGINT', () => { // Start HTTP server server.listen(config.port, () => { logger.log(`ai-proxy-service listening on port ${config.port}`); + if (useSamePort) { + logger.log(`WebSocket server available at ws://localhost:${config.port}/api/v1`); + } }); -// Start WebSocket server on separate port -wsHttpServer.listen(config.websocketPort, () => { - logger.log(`WebSocket server listening on port ${config.websocketPort}`); - logger.log(`WebSocket server available at ws://localhost:${config.websocketPort}/api/v1/agent`); -}); +// Start WebSocket server on separate port if needed +if (!useSamePort) { + wsHttpServer.listen(config.websocketPort, () => { + logger.log(`WebSocket server listening on port ${config.websocketPort}`); + logger.log(`WebSocket server available at ws://localhost:${config.websocketPort}/api/v1`); + }); +} diff --git a/config.js b/config.js index b765bd8a..63caee44 100644 --- a/config.js +++ b/config.js @@ -5,7 +5,7 @@ const config = { "port": 3000, - "websocketPort": 3001, + "websocketPort": 3000, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) }; diff --git a/utilities/ZodToStructuredOutputConverter.js b/utilities/ZodToStructuredOutputConverter.js index b2098741..858c62fe 100644 --- a/utilities/ZodToStructuredOutputConverter.js +++ b/utilities/ZodToStructuredOutputConverter.js @@ -31,6 +31,10 @@ export class ZodToStructuredOutputConverter { // For Claude's structured outputs, optional fields are handled via the 'required' array // in the parent object, not via a 'nullable' property return this.convert(zodSchema._def.innerType); + case 'ZodDefault': + // For ZodDefault, we ignore the default value and just convert the inner type + // Default values are handled by the application logic, not the schema + return this.convert(zodSchema._def.innerType); case 'ZodUnion': return this.convertZodUnionToStructuredOutput(zodSchema._def); case 'ZodLiteral': From 25e1a641f954213cdf1d015ff68b1cab327dcddd Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 17 Apr 2026 21:15:15 -0400 Subject: [PATCH 011/226] Cleanup the Agent when the websocket disconnects --- agent/AgentOrchestrator.js | 15 +++++++++++++++ agent/websocket.js | 21 +++++++++++++++++++++ 2 files changed, 36 insertions(+) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 2b7b7120..9f10ed38 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -361,4 +361,19 @@ export class AgentOrchestrator { clientTools: this.dynamicToolServer.getClientToolNames() }; } + + /** + * Destroy the orchestrator and cleanup resources + */ + destroy() { + logger.log(`AgentOrchestrator destroyed for session ${this.sessionId}`); + + // Clear any references + this.sessionManager = null; + this.sendToClient = null; + this.dynamicToolServer = null; + this.anthropic = null; + this.configManager = null; + this.schemaConverter = null; + } } diff --git a/agent/websocket.js b/agent/websocket.js index 50379509..1591f081 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -131,6 +131,13 @@ export function handleWebSocketConnection(ws, sessionManager) { break; case 'disconnect': + // Destroy orchestrator if it exists + if (orchestrator) { + orchestrator.destroy(); + orchestrator = null; + } + + // Delete session (this cleans up pending calls, temp dirs, etc.) sessionManager.deleteSession(sessionId); ws.close(1000, 'Client requested disconnect'); break; @@ -394,6 +401,13 @@ export function handleWebSocketConnection(ws, sessionManager) { ws.on('close', (code, reason) => { logger.log(`WebSocket closed: ${sessionId} (code: ${code}, reason: ${reason})`); if (sessionId) { + // Destroy orchestrator if it exists + if (orchestrator) { + orchestrator.destroy(); + orchestrator = null; + } + + // Delete session (this cleans up pending calls, temp dirs, etc.) sessionManager.deleteSession(sessionId); } }); @@ -402,6 +416,13 @@ export function handleWebSocketConnection(ws, sessionManager) { ws.on('error', (error) => { logger.error(`WebSocket error for session ${sessionId}:`, error); if (sessionId) { + // Destroy orchestrator if it exists + if (orchestrator) { + orchestrator.destroy(); + orchestrator = null; + } + + // Delete session (this cleans up pending calls, temp dirs, etc.) sessionManager.deleteSession(sessionId); } }); From e414af85b185d54337578e65d002d780b680c428 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 20 Apr 2026 08:41:44 -0400 Subject: [PATCH 012/226] make ganos-lal less annoying to listen to --- agent/config/ganos-lal.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml index 0686b495..ec3d46e5 100644 --- a/agent/config/ganos-lal.yaml +++ b/agent/config/ganos-lal.yaml @@ -4,7 +4,7 @@ agent: - sfd - cld - description: "Helpful Mentor who uses Socratic questioning to teach System Dynamics concepts. Patient, educational, and focused on building understanding through thoughtful dialogue." + description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" instructions: @@ -323,7 +323,7 @@ agent: always_execute: true communication: - style: "warm, patient, curious, Socratic" + style: "direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance." explain_reasoning: true use_examples: true avoid_jargon: true @@ -334,9 +334,10 @@ agent: actions: "Explain what you're doing and why in simple terms" results: "Interpret in plain language, avoiding technical jargon" next_steps: "Ask what the user wants to explore next" + avoid_patronizing: "NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive." verbosity: "medium" - tone: "encouraging, thoughtful, questioning" + tone: "direct, professional, questioning - never patronizing" error_handling: on_tool_failure: @@ -367,9 +368,8 @@ agent: - Build ONLY to the complexity level user specifies - Default suggestion: simple (5-10 variables, 1-2 stocks, up to 10 feedback loops) for learning - Respect user's complexity preference completely - - If user wants 20 variables, build 20 variables - - If user wants 5 variables, build exactly 5 variables - - Include stocks by default to demonstrate accumulation dynamics + - If user wants 20 variables, build 20ish variables + - If user wants 2 stocks, build exactly 2 stocks avoid_arrays: true avoid_modules: true From a01e69c4ffd8689a1a0b52cccb0737cbddfd7cae Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 20 Apr 2026 08:47:21 -0400 Subject: [PATCH 013/226] added a stop iteration command and moved the max iteration into the agent config file --- agent/AgentOrchestrator.js | 20 ++++++-- agent/README.md | 54 +++++++++++++++++++- agent/config/ganos-lal.yaml | 3 +- agent/config/myrddin.yaml | 3 +- agent/utilities/AgentConfigurationManager.js | 8 +++ agent/utilities/MessageProtocol.js | 7 +++ agent/websocket.js | 25 +++++++++ 7 files changed, 112 insertions(+), 8 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 9f10ed38..9c0287d1 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -30,6 +30,7 @@ export class AgentOrchestrator { this.sessionManager = sessionManager; this.sessionId = sessionId; this.sendToClient = sendToClient; + this.stopRequested = false; // Load configuration this.configManager = new AgentConfigurationManager(configPath); @@ -119,10 +120,10 @@ export class AgentOrchestrator { const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools); let continueLoop = true; - const maxIterations = 20; // Prevent infinite loops + const maxIterations = this.configManager.getMaxIterations(); let iteration = 0; - while (continueLoop && iteration < maxIterations) { + while (continueLoop && iteration < maxIterations && !this.stopRequested) { iteration++; try { @@ -150,7 +151,10 @@ export class AgentOrchestrator { } } - if (iteration >= maxIterations) { + if (this.stopRequested) { + logger.log(`Agent iteration stopped by user request for session ${this.sessionId}`); + this.stopRequested = false; // Reset for next conversation + } else if (iteration >= maxIterations) { logger.warn(`Agent conversation reached max iterations (${maxIterations})`); } } @@ -201,7 +205,7 @@ export class AgentOrchestrator { responseType = 'ltm-discuss'; } else if (['discuss_model_with_seldon', 'discuss_model_across_runs', 'discuss_with_mentor'].includes(block.name)) { responseType = 'discuss'; - } else if (['generate_quantitative_model', 'generate_qualitative_model', 'generate_documentation', 'update_model', 'get_current_model'].includes(block.name)) { + } else if (['generate_quantitative_model', 'generate_qualitative_model', 'generate_documentation'].includes(block.name)) { responseType = 'model'; } @@ -365,6 +369,14 @@ export class AgentOrchestrator { /** * Destroy the orchestrator and cleanup resources */ + /** + * Request the agent to stop iterating + */ + stopIteration() { + logger.log(`Stop iteration requested for session ${this.sessionId}`); + this.stopRequested = true; + } + destroy() { logger.log(`AgentOrchestrator destroyed for session ${this.sessionId}`); diff --git a/agent/README.md b/agent/README.md index 4d6a9602..1bacc79d 100644 --- a/agent/README.md +++ b/agent/README.md @@ -290,9 +290,31 @@ Notifies the server when the client updates the model externally (e.g., user man } ``` -#### 6. Disconnect +#### 6. Stop Iteration -Gracefully closes the session. +Requests the agent to stop iterating immediately, interrupting the current conversation loop without disconnecting the session. + +```json +{ + "type": "stop_iteration", + "sessionId": "sess_abc123" +} +``` + +**Purpose:** +- Stops the agent mid-execution (e.g., if it's taking too long or heading in the wrong direction) +- Session remains active - you can send new chat messages after stopping +- Useful for interrupting lengthy tool chains or when the agent is stuck in a loop + +**Behavior:** +- Agent stops at the next iteration checkpoint (after completing the current API call) +- No agent_complete message is sent when stopped +- Session state is preserved - conversation history remains intact +- Client can immediately send a new chat message + +#### 7. Disconnect + +Gracefully closes the session and cleans up all server-side resources. ```json { @@ -301,6 +323,22 @@ Gracefully closes the session. } ``` +**Purpose:** +- Ends the session completely and closes the WebSocket connection +- Cleans up all server-side resources (session data, temp folders, pending calls) +- Use when the user is done with the session or closing the application + +**Behavior:** +- Agent orchestrator is destroyed +- Session is deleted from the session manager +- All temp files and session-specific folders are cleaned up +- WebSocket connection is closed with code 1000 (normal closure) +- After disconnect, a new session must be initialized to continue + +**Comparison with Stop Iteration:** +- `stop_iteration` - Interrupts agent but keeps session alive for new messages +- `disconnect` - Completely ends the session and closes the connection + ### Server → Client Messages #### 1. Session Created @@ -980,9 +1018,21 @@ ws.on('message', (data) => { case 'agent_complete': console.log('Agent finished:', message.status); break; + + case 'error': + console.error('Error:', message.error); + break; } }); +// Stop agent iteration (e.g., on button click) +function stopAgent() { + ws.send(JSON.stringify({ + type: 'stop_iteration', + sessionId: sessionId + })); +} + function executeClientTool(toolName, args) { switch (toolName) { case 'get_current_model': diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml index ec3d46e5..5488ca15 100644 --- a/agent/config/ganos-lal.yaml +++ b/agent/config/ganos-lal.yaml @@ -3,9 +3,10 @@ agent: supports: - sfd - cld - + description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" + maxIterations: 20 instructions: general: | diff --git a/agent/config/myrddin.yaml b/agent/config/myrddin.yaml index 7754f5e5..c7def9a0 100644 --- a/agent/config/myrddin.yaml +++ b/agent/config/myrddin.yaml @@ -2,10 +2,11 @@ agent: name: "Myrddin" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" + maxIterations: 20 supports: - sfd - cld - + instructions: general: | You are Myrddin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 98fbe6fc..fe61429c 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -380,4 +380,12 @@ ALWAYS share feedback loop information with Seldon in all of its forms when disc getBaseConfig() { return this.baseConfig; } + + /** + * Get maximum iterations for agent conversation loop + * @returns {number} Maximum iterations (default: 20) + */ + getMaxIterations() { + return this.baseConfig?.maxIterations || 20; + } } diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index cedfcc19..11bda7c7 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -93,6 +93,12 @@ export const ModelUpdatedNotificationSchema = z.object({ timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); +export const StopIterationMessageSchema = z.object({ + type: z.literal('stop_iteration').describe('Message type identifier'), + sessionId: z.string().describe('Unique session identifier'), + timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}); + export const DisconnectMessageSchema = z.object({ type: z.literal('disconnect').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier for the session to disconnect') @@ -104,6 +110,7 @@ export const ClientMessageSchema = z.discriminatedUnion('type', [ ChatMessageSchema, ToolCallResponseMessageSchema, ModelUpdatedNotificationSchema, + StopIterationMessageSchema, DisconnectMessageSchema ]); diff --git a/agent/websocket.js b/agent/websocket.js index 1591f081..68ff267d 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -130,6 +130,10 @@ export function handleWebSocketConnection(ws, sessionManager) { await handleModelUpdated(message); break; + case 'stop_iteration': + await handleStopIteration(message); + break; + case 'disconnect': // Destroy orchestrator if it exists if (orchestrator) { @@ -397,6 +401,27 @@ export function handleWebSocketConnection(ws, sessionManager) { } } + // Handle stop_iteration + async function handleStopIteration(message) { + try { + if (!orchestrator) { + throw new Error('No active agent to stop'); + } + + logger.log(`Stop iteration requested for session ${sessionId}`); + orchestrator.stopIteration(); + + } catch (error) { + logger.error(`Error stopping iteration for session ${sessionId}:`, error); + await sendToClient(createErrorMessage( + sessionId, + error.message, + 'STOP_ITERATION_ERROR', + true + )); + } + } + // Handle close ws.on('close', (code, reason) => { logger.log(`WebSocket closed: ${sessionId} (code: ${code}, reason: ${reason})`); From 561f0df9bad64aafa4b4c5449440ef50183bedbd Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 20 Apr 2026 10:59:39 -0400 Subject: [PATCH 014/226] remove all show intermediate model commands --- agent/README.md | 56 +----------------------------- agent/test-client.html | 8 ----- agent/tools/BuiltInTools.js | 23 ++++++++++++ agent/utilities/MessageProtocol.js | 23 ------------ 4 files changed, 24 insertions(+), 86 deletions(-) diff --git a/agent/README.md b/agent/README.md index 1bacc79d..145184ad 100644 --- a/agent/README.md +++ b/agent/README.md @@ -121,17 +121,6 @@ Establishes a session with authentication, model type, initial model, client too "timeRange": { "type": "object" } } } - }, - { - "name": "show_intermediate_model", - "description": "Shows an intermediate model in a separate window", - "inputSchema": { - "type": "object", - "properties": { - "model": { "type": "object" }, - "displayMode": { "type": "string" } - } - } } ], "historicalMessages": [ @@ -530,31 +519,7 @@ Sends visualization data to the client as base64 encoded PNG images. - `height`: Image height in pixels - `description` is optional -#### 9. Show Intermediate Model - -Asks the client to display an intermediate model (e.g., a CLD created before building an SFD). - -```json -{ - "type": "show_intermediate_model", - "sessionId": "sess_abc123", - "modelType": "cld", - "model": { - "variables": [...], - "relationships": [...] - }, - "purpose": "This CLD shows the conceptual structure before we build the quantitative SFD", - "displayMode": "separate_window", - "timestamp": "2025-01-15T10:30:06.000Z" -} -``` - -**Display Modes:** -- `"separate_window"` - Show in a new window/dialog -- `"inline"` - Display within the conversation -- `"background"` - Load silently without interrupting - -#### 10. Feedback Request +#### 9. Feedback Request Requests feedback loop analysis data from the client (used by Seldon engine for enhanced discussions). @@ -778,24 +743,6 @@ Clients register their tools during `initialize_session`. Each tool must follow } ``` -#### 4. show_intermediate_model - -**Purpose:** Displays an intermediate model in a separate window. - -```json -{ - "name": "show_intermediate_model", - "description": "Show intermediate model in separate window", - "inputSchema": { - "type": "object", - "properties": { - "model": { "type": "object" }, - "displayMode": { "type": "string" } - } - } -} -``` - ## Built-In Tools The agent has access to these SD-AI engine tools: @@ -874,7 +821,6 @@ toolPolicies: generate_quantitative_model: when: "Building or significantly modifying an SFD model" bestPractices: - - "Always show intermediate CLD first" - "Validate all equations" ``` diff --git a/agent/test-client.html b/agent/test-client.html index 38240b2f..c366e6ba 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -604,14 +604,6 @@

Visualizations

handleGetVariableData(message); break; - case 'show_intermediate_model': - log(`Server wants to show intermediate model: ${message.purpose}`); - log(`Display mode: ${message.displayMode}`); - // For now, just log the intermediate model - client could implement UI to display it - elements.modelData.value = JSON.stringify(message.model, null, 2); - log('✓ Intermediate model displayed', 'received'); - break; - default: log(`Unknown message type: ${message.type}`); } diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index 693123d8..34cdad3d 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -394,6 +394,29 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }; } + // Automatically push the generated model to the client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + await updatePromise; + return { content: [{ type: 'text', diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 11bda7c7..b2eb2324 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -216,16 +216,6 @@ export const ErrorMessageSchema = z.object({ timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); -export const ShowIntermediateModelMessageSchema = z.object({ - type: z.literal('show_intermediate_model').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram)'), - model: SDModelSchema.describe('The intermediate model to display'), - purpose: z.string().describe('Why this intermediate model is being shown (e.g., "showing iteration 3 of model refinement")'), - displayMode: z.enum(['separate_window', 'inline', 'background']).describe('How the client should display this: separate_window (new window/tab), inline (in chat), or background (store without immediate display)'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - export const FeedbackRequestMessageSchema = z.object({ type: z.literal('feedback_request').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), @@ -281,7 +271,6 @@ export const ServerMessageSchema = z.discriminatedUnion('type', [ ToolCallRequestMessageSchema, ToolCallCompletedMessageSchema, VisualizationMessageSchema, - ShowIntermediateModelMessageSchema, FeedbackRequestMessageSchema, GetCurrentModelMessageSchema, UpdateModelMessageSchema, @@ -439,18 +428,6 @@ export function createErrorMessage(sessionId, error, errorCode, recoverable = tr }; } -export function createShowIntermediateModelMessage(sessionId, modelType, model, purpose, displayMode = 'separate_window') { - return { - type: 'show_intermediate_model', - sessionId, - modelType, - model, - purpose, - displayMode, - timestamp: new Date().toISOString() - }; -} - export function createFeedbackRequestMessage(sessionId, requestId, runIds) { return { type: 'feedback_request', From ffd9ad8242f286f6149da367c21784493d22ab49 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 20 Apr 2026 13:28:39 -0400 Subject: [PATCH 015/226] simplified visualization engine, fixed broken agent configuration, better stop handing --- agent/AgentOrchestrator.js | 71 ++++++++++++++++++++ agent/README.md | 5 +- agent/config/ganos-lal.yaml | 8 +-- agent/config/myrddin.yaml | 2 +- agent/tools/BuiltInTools.js | 6 +- agent/utilities/AgentConfigurationManager.js | 22 +++--- agent/utilities/VisualizationEngine.js | 55 ++++++--------- 7 files changed, 114 insertions(+), 55 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 9c0287d1..232e6ec1 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -136,9 +136,21 @@ export class AgentOrchestrator { tools: tools.length > 0 ? tools : undefined }); + // Check if stop was requested during the API call + if (this.stopRequested) { + logger.log(`Stop requested during API call for session ${this.sessionId}`); + break; + } + // Process response continueLoop = await this.processAgentResponse(response, messages, builtInTools, dynamicTools); + // Check if stop was requested during response processing + if (this.stopRequested) { + logger.log(`Stop requested during response processing for session ${this.sessionId}`); + break; + } + } catch (error) { logger.error('Error in agent conversation loop:', error); await this.sendToClient(createErrorMessage( @@ -154,8 +166,22 @@ export class AgentOrchestrator { if (this.stopRequested) { logger.log(`Agent iteration stopped by user request for session ${this.sessionId}`); this.stopRequested = false; // Reset for next conversation + + // Send agent_complete message to notify client that agent has stopped + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped by user request' + )); } else if (iteration >= maxIterations) { logger.warn(`Agent conversation reached max iterations (${maxIterations})`); + + // Send agent_complete message when max iterations reached + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + `Reached maximum iterations (${maxIterations})` + )); } } @@ -168,6 +194,12 @@ export class AgentOrchestrator { // Process each content block for (const block of response.content) { + // Check if stop was requested before processing each block + if (this.stopRequested) { + logger.log(`Stop requested during content block processing for session ${this.sessionId}`); + return false; // Stop processing immediately + } + if (block.type === 'text') { // Send text content to client const text = await marked.parse(block.text); @@ -196,9 +228,48 @@ export class AgentOrchestrator { isBuiltIn )); + // Send additional text notification for slow tools + if (block.name === 'create_visualization') { + const vizType = block.input.useAICustom ? 'AI-generated custom' : (block.input.type || 'standard'); + const title = block.input.title || 'visualization'; + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Creating ${vizType} visualization: "${title}"... This may take a moment.`, + false + )); + } else if (block.name === 'get_variable_data') { + const varCount = block.input.variableNames?.length || 0; + const runCount = block.input.runIds?.length || 0; + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Retrieving data for ${varCount} variable${varCount !== 1 ? 's' : ''} from ${runCount} run${runCount !== 1 ? 's' : ''}...`, + false + )); + } else if (block.name === 'get_feedback_information') { + const runCount = block.input.runIds?.length || 0; + const runText = runCount === 0 ? 'all runs' : `${runCount} run${runCount !== 1 ? 's' : ''}`; + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Analyzing feedback loops for ${runText}... This may take a moment.`, + false + )); + } else if (block.name === 'run_model') { + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Running model simulation...`, + false + )); + } + // Execute tool const toolResult = await this.executeToolCall(block, builtInTools, dynamicTools); + // Check if stop was requested during tool execution + if (this.stopRequested) { + logger.log(`Stop requested during tool execution for session ${this.sessionId}`); + return false; // Stop processing immediately + } + // Determine response type based on tool name let responseType = 'other'; if (['generate_ltm_narrative'].includes(block.name)) { diff --git a/agent/README.md b/agent/README.md index 145184ad..29eae193 100644 --- a/agent/README.md +++ b/agent/README.md @@ -296,8 +296,9 @@ Requests the agent to stop iterating immediately, interrupting the current conve - Useful for interrupting lengthy tool chains or when the agent is stuck in a loop **Behavior:** -- Agent stops at the next iteration checkpoint (after completing the current API call) -- No agent_complete message is sent when stopped +- Agent stops immediately, interrupting any in-progress work +- Stops after the current API call completes or during tool execution +- Sends an `agent_complete` message with status `awaiting_user` and message "Agent stopped by user request" - Session state is preserved - conversation history remains intact - Client can immediately send a new chat message diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml index 5488ca15..889cd088 100644 --- a/agent/config/ganos-lal.yaml +++ b/agent/config/ganos-lal.yaml @@ -6,7 +6,7 @@ agent: description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" - maxIterations: 20 + max_iterations: 20 instructions: general: | @@ -18,9 +18,9 @@ agent: CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD - NEVER build a model immediately when a user mentions a topic - - ALWAYS ask multiple clarifying questions first - - Your job is to help users THINK about their problem, not to quickly generate models - - Spend significant time understanding their problem before proposing any structure + - ALWAYS clarify the scope of the model. + - Your job is to help users THINK about their problem, not to immediately generate models + - Spend time understanding their problem before proposing any structure - Building a model should be the LAST step, not the first IMPORTANT RULES: diff --git a/agent/config/myrddin.yaml b/agent/config/myrddin.yaml index c7def9a0..91685028 100644 --- a/agent/config/myrddin.yaml +++ b/agent/config/myrddin.yaml @@ -2,7 +2,7 @@ agent: name: "Myrddin" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" - maxIterations: 20 + max_iterations: 20 supports: - sfd - cld diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index 34cdad3d..ab1e734c 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -752,7 +752,7 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }, get_variable_data: { - description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs.', + description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs. For visualization or analysis, consider requesting a small subset of key variables first.', inputSchema: z.object({ variableNames: z.array(z.string()).describe('List of variable names to get data for'), runIds: z.array(z.string()).describe('List of run IDs to get variable data from') @@ -815,7 +815,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu variables: z.array(z.string()).describe('Variables to include in visualization'), title: z.string().describe('Visualization title'), description: z.string().optional().describe('Description of what the visualization shows'), - usePython: z.boolean().optional().describe('Use Python/matplotlib instead of Plotly. Default: false'), + usePython: z.boolean().optional().describe('Use Python/matplotlib. Default: true'), useAICustom: z.boolean().optional().describe('Use AI to generate custom Python visualization code. Default: false'), dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), @@ -883,7 +883,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu }] }; } catch (error) { - logger.error('Visualization error:', error); + logger.debug('Visualization error:', error); return { content: [{ type: 'text', text: `Failed to create visualization: ${error.message}` }], isError: true diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index fe61429c..1ae8442d 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -211,16 +211,16 @@ ALWAYS share feedback loop information with Seldon in all of its forms when disc for (const [toolName, policy] of Object.entries(policies)) { lines.push(`\n### ${toolName}`); - if (policy.whenToUse) { - lines.push(`**When to use:** ${policy.whenToUse}`); + if (policy.when_to_use) { + lines.push(`**When to use:** ${policy.when_to_use}`); } if (policy.frequency) { lines.push(`**Frequency:** ${policy.frequency}`); } - if (policy.alwaysExplain) { + if (policy.always_explain) { lines.push(`**Always explain** your reasoning when using this tool`); } - if (policy.autoSuggest) { + if (policy.auto_suggest) { lines.push(`**Auto-suggest** this tool when appropriate`); } if (policy.parameters) { @@ -271,21 +271,21 @@ ALWAYS share feedback loop information with Seldon in all of its forms when disc const lines = []; lines.push(`**Style:** ${communication.style}`); - if (communication.explainReasoning) { + if (communication.explain_reasoning) { lines.push('- Always explain your reasoning'); } - if (communication.useExamples) { + if (communication.use_examples) { lines.push('- Use examples to clarify concepts'); } - if (communication.avoidJargon !== undefined) { - lines.push(communication.avoidJargon + if (communication.avoid_jargon !== undefined) { + lines.push(communication.avoid_jargon ? '- Avoid technical jargon' : '- System Dynamics terminology is acceptable'); } - if (communication.responseFormat) { + if (communication.response_format) { lines.push('\n**Response Format:**'); - for (const [aspect, guideline] of Object.entries(communication.responseFormat)) { + for (const [aspect, guideline] of Object.entries(communication.response_format)) { lines.push(`- ${aspect}: ${guideline}`); } } @@ -386,6 +386,6 @@ ALWAYS share feedback loop information with Seldon in all of its forms when disc * @returns {number} Maximum iterations (default: 20) */ getMaxIterations() { - return this.baseConfig?.maxIterations || 20; + return this.baseConfig?.max_iterations || 20; } } diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 09c166d2..4fecb75b 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -32,6 +32,9 @@ export class VisualizationEngine { // Normalize and resolve the session temp directory for security checks this.resolvedTempDir = resolve(normalize(this.sessionTempDir)); + + // Cache LLM wrapper to avoid recreating it for each visualization + this.llm = new LLMWrapper(); } /** @@ -121,53 +124,37 @@ export class VisualizationEngine { * Use AI to generate custom Python visualization script */ async generateAIVisualizationScript(dataPath, outputPath, data, variables, options) { - const llm = new LLMWrapper(); - // Prepare data description const dataDescription = options.dataDescription || this.describeData(data, variables); // Prepare visualization requirements const visualizationGoal = options.visualizationGoal || options.title || 'Visualize the data in an insightful way'; - const systemPrompt = `You are an expert data visualization specialist using Python and matplotlib. -Generate Python code to create visualizations based on user requirements. + const systemPrompt = `You are a Python matplotlib code generator. Generate working Python visualization code. Requirements: -- Use matplotlib with Agg backend (no display) -- Load data from JSON file -- Save figure to specified output path -- Create clear, professional visualizations -- Include appropriate labels, titles, legends -- Use good color schemes -- Handle edge cases gracefully`; - - const userPrompt = `Generate Python code to visualize this data: - -## Data Description -${dataDescription} - -## Data Structure -The data is available in JSON format at: ${dataPath} -Variables available: ${variables.join(', ')} -Time series data structure: {time: [...], ${variables.map(v => `'${v}': [...]`).join(', ')}} +- Use matplotlib with Agg backend +- Load JSON data and create the visualization +- Save to specified path +- Include labels, titles, legends +- Make it clear and professional`; -## Visualization Goal -${visualizationGoal} + const userPrompt = `Generate Python code for this visualization: -${options.customRequirements ? `\n## Additional Requirements\n${options.customRequirements}` : ''} +Data: ${dataPath} +Variables: ${variables.join(', ')} +Goal: ${visualizationGoal} +Output: ${outputPath} +Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches, 100 DPI -## Output Requirements -- Save the figure to: ${outputPath} -- Figure size: ${(options.width || 800)/100} x ${(options.height || 600)/100} inches -- DPI: 100 -- Use matplotlib.use('Agg') backend -- Close figure after saving +Data structure: JSON with 'time' array and variable arrays: ${variables.map(v => `'${v}'`).join(', ')} -Generate ONLY the Python code, no explanations. The code should be complete and ready to execute.`; +${options.customRequirements ? `Requirements: ${options.customRequirements}\n` : ''} +Generate ONLY working Python code with matplotlib.use('Agg'), no explanations.`; try { - // Get LLM parameters - const { underlyingModel, temperature } = llm.getLLMParameters(0.3); + // Get LLM parameters with lower temperature for faster, more deterministic responses + const { underlyingModel, temperature } = this.llm.getLLMParameters(0.1); // Create messages array const messages = [ @@ -175,7 +162,7 @@ Generate ONLY the Python code, no explanations. The code should be complete and { role: 'user', content: userPrompt } ]; - const response = await llm.createChatCompletion( + const response = await this.llm.createChatCompletion( messages, underlyingModel, null, // no zodSchema From 5839f6ea17dbcf5adcede8be2d53dcd09a2ddcf8 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 20 Apr 2026 16:20:29 -0400 Subject: [PATCH 016/226] fixed visualization engine not generating PNGs --- agent/AgentOrchestrator.js | 18 +++ agent/utilities/VisualizationEngine.js | 166 +++++++++++++++++++++++-- 2 files changed, 177 insertions(+), 7 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 232e6ec1..c58cee39 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -259,6 +259,24 @@ export class AgentOrchestrator { `Running model simulation...`, false )); + } else if (block.name === 'discuss_model_with_seldon') { + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Consulting Seldon for expert analysis...`, + false + )); + } else if (block.name === 'discuss_model_across_runs') { + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Analyzing model behavior across runs...`, + false + )); + } else if (block.name === 'discuss_with_mentor') { + await this.sendToClient(createAgentTextMessage( + this.sessionId, + `Consulting Seldon mentor for guidance...`, + false + )); } // Execute tool diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 4fecb75b..6158ab94 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -135,9 +135,10 @@ export class VisualizationEngine { Requirements: - Use matplotlib with Agg backend - Load JSON data and create the visualization -- Save to specified path +- Save to specified path as PNG with broadly-compatible settings - Include labels, titles, legends -- Make it clear and professional`; +- Make it clear and professional +- Set white background for broad compatibility`; const userPrompt = `Generate Python code for this visualization: @@ -150,7 +151,13 @@ Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches, 100 D Data structure: JSON with 'time' array and variable arrays: ${variables.map(v => `'${v}'`).join(', ')} ${options.customRequirements ? `Requirements: ${options.customRequirements}\n` : ''} -Generate ONLY working Python code with matplotlib.use('Agg'), no explanations.`; +IMPORTANT: +- Use matplotlib.use('Agg') +- Suppress warnings with warnings.filterwarnings('ignore') +- Set fig.set_facecolor('white') for broad compatibility +- Save with: plt.savefig(path, format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') + +Generate ONLY working Python code, no explanations.`; try { // Get LLM parameters with lower temperature for faster, more deterministic responses @@ -305,6 +312,8 @@ Generate ONLY working Python code with matplotlib.use('Agg'), no explanations.`; return this.generateTimeSeriesScript(dataPath, outputPath, variables, options); case 'phase_portrait': return this.generatePhasePortraitScript(dataPath, outputPath, variables, options); + case 'feedback_dominance': + return this.generateFeedbackDominanceScript(dataPath, outputPath, variables, options); case 'comparison': return this.generateComparisonScript(dataPath, outputPath, variables, options); default: @@ -325,13 +334,16 @@ import json import matplotlib.pyplot as plt import matplotlib matplotlib.use('Agg') +import warnings +warnings.filterwarnings('ignore') # Load data with open('${dataPath}', 'r') as f: data = json.load(f) -# Create figure +# Create figure with most-compatible settings fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) +fig.set_facecolor('white') # Plot each variable ${variables.map((v, idx) => ` @@ -349,7 +361,8 @@ ax.grid(True, alpha=0.3) ${highlightPeriodsCode} plt.tight_layout() -plt.savefig('${outputPath}', dpi=100, bbox_inches='tight') +# most-compatible PNG output +plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); @@ -366,11 +379,14 @@ import matplotlib.pyplot as plt import numpy as np import matplotlib matplotlib.use('Agg') +import warnings +warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) fig, ax = plt.subplots(figsize=(8, 6), dpi=100) +fig.set_facecolor('white') time = np.array(data['time']) x = np.array(data['${xVar}']) @@ -392,7 +408,140 @@ cbar = plt.colorbar(scatter, ax=ax) cbar.set_label('Time', fontsize=10) plt.tight_layout() -plt.savefig('${outputPath}', dpi=100, bbox_inches='tight') +plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.close() +print('Visualization saved') +`.trim(); + } + + /** + * Generate feedback dominance script (stacked area chart) + */ + generateFeedbackDominanceScript(dataPath, outputPath, variables, options) { + return ` +import json +import matplotlib.pyplot as plt +import numpy as np +import matplotlib +matplotlib.use('Agg') +import warnings +warnings.filterwarnings('ignore') + +with open('${dataPath}', 'r') as f: + data = json.load(f) + +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) +fig.set_facecolor('white') + +# Get time array from data or from loop data +time = data.get('time', []) + +# Prepare loop data with metadata for sorting +loops_with_data = [] + +# Handle feedbackLoops structure +feedback_loops = data.get('feedbackLoops', []) +for loop in feedback_loops: + loop_name = loop.get('name', 'Unnamed Loop') + identifier = loop.get('identifier', loop_name) + polarity = loop.get('polarity', 'unknown') # '+' or '-' or '?' + + # Get loop influence data from "Percent of Model Behavior Explained By Loop" + dominance_data = None + if 'Percent of Model Behavior Explained By Loop' in loop: + behavior_data = loop['Percent of Model Behavior Explained By Loop'] + # Extract values and ensure time array matches + if isinstance(behavior_data, list) and len(behavior_data) > 0: + if isinstance(behavior_data[0], dict): + # Format: [{ time: x, value: y }, ...] + times = [item['time'] for item in behavior_data] + values = [item['value'] for item in behavior_data] + dominance_data = np.array(values) + if not time: # If time not set globally, use from loop + time = times + else: + # Format: direct array + dominance_data = np.array(behavior_data) + elif 'dominance' in loop: + dominance_data = np.array(loop['dominance']) + elif 'influence' in loop: + dominance_data = np.array(loop['influence']) + + # Skip if no data + if dominance_data is None or len(dominance_data) == 0: + continue + + # Calculate total for sorting + total = np.sum(dominance_data) + + # Determine if balancing or reinforcing + # Balancing: polarity is '-' + # Reinforcing: polarity is '+' + is_balancing = (polarity == '-') + + loops_with_data.append({ + 'name': loop_name, + 'identifier': identifier, + 'data': dominance_data, + 'total': total, + 'is_balancing': is_balancing, + 'polarity': polarity + }) + +# Sort loops: balancing first (polarity '-' < '+'), then by total +# Within balancing: higher total first (descending) +# Within reinforcing: lower total first (ascending) +def sort_key(loop): + # First sort by polarity: balancing (True) comes before reinforcing (False) + polarity_order = 0 if loop['is_balancing'] else 1 + + # Second sort by total: balancing loops by descending total, reinforcing by ascending + if loop['is_balancing']: + total_order = -loop['total'] # Negative for descending + else: + total_order = loop['total'] # Positive for ascending + + return (polarity_order, total_order) + +loops_with_data.sort(key=sort_key) + +# Extract sorted data +loop_data = [loop['data'] for loop in loops_with_data] +loop_labels = [loop['name'] for loop in loops_with_data] + +# Create stacked area plot +if len(loop_data) > 0 and len(time) > 0: + time = np.array(time) + + # Add dominant periods as background shading (if provided) + dominant_periods = data.get('dominantLoopsByPeriod', []) + for period in dominant_periods: + start_time = period.get('startTime', 0) + end_time = period.get('endTime', 0) + dominant_loops = period.get('dominantLoops', []) + + if dominant_loops and start_time < end_time: + # Create label from dominant loop identifiers + label = ', '.join(dominant_loops) if len(dominant_loops) <= 3 else f'{len(dominant_loops)} loops' + # Use subtle background color for dominant periods + ax.axvspan(start_time, end_time, alpha=0.1, color='gray', + label=f'Dominant: {label}', zorder=0) + + # Plot the stacked areas on top of background shading + colors = plt.cm.tab10(np.linspace(0, 1, len(loop_data))) + ax.stackplot(time, *loop_data, labels=loop_labels, colors=colors, alpha=0.7) + + ax.set_xlabel('Time (${options.timeUnits || 'units'})', fontsize=12) + ax.set_ylabel('Loop Dominance', fontsize=12) + ax.set_title('${options.title || 'Feedback Loop Dominance Over Time'}', fontsize=14, fontweight='bold') + ax.legend(loc='upper left', bbox_to_anchor=(1.02, 1), borderaxespad=0) + ax.grid(True, alpha=0.3) +else: + ax.text(0.5, 0.5, 'No feedback loop data available', + ha='center', va='center', transform=ax.transAxes, fontsize=12) + +plt.tight_layout() +plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); @@ -410,11 +559,14 @@ import json import matplotlib.pyplot as plt import matplotlib matplotlib.use('Agg') +import warnings +warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) +fig.set_facecolor('white') runs = data.get('runs', []) colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] @@ -436,7 +588,7 @@ ax.legend(loc='best') ax.grid(True, alpha=0.3) plt.tight_layout() -plt.savefig('${outputPath}', dpi=100, bbox_inches='tight') +plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); From 76da8ca1bbc9fbe3206eabaab8061133eca29310 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 20 Apr 2026 18:11:35 -0400 Subject: [PATCH 017/226] fixed feedback loop dominance plot code --- agent/utilities/VisualizationEngine.js | 124 ++++++++----------------- 1 file changed, 40 insertions(+), 84 deletions(-) diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 6158ab94..1e23502f 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -416,8 +416,16 @@ print('Visualization saved') /** * Generate feedback dominance script (stacked area chart) + * + * Expected format: + * - data: { time: [...], loopId1: [...], loopId2: [...], ... } + * - variables: ['loopId1', 'loopId2', ...] + * - options.highlightPeriods: [{ loopIds: [...], startTime: x, endTime: y, label: '...', color: '...' }, ...] */ generateFeedbackDominanceScript(dataPath, outputPath, variables, options) { + // Generate the loop variable names for Python script + const loopVarsList = variables.map(v => `'${v}'`).join(', '); + return ` import json import matplotlib.pyplot as plt @@ -433,99 +441,47 @@ with open('${dataPath}', 'r') as f: fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) fig.set_facecolor('white') -# Get time array from data or from loop data +# Get time array time = data.get('time', []) -# Prepare loop data with metadata for sorting -loops_with_data = [] - -# Handle feedbackLoops structure -feedback_loops = data.get('feedbackLoops', []) -for loop in feedback_loops: - loop_name = loop.get('name', 'Unnamed Loop') - identifier = loop.get('identifier', loop_name) - polarity = loop.get('polarity', 'unknown') # '+' or '-' or '?' - - # Get loop influence data from "Percent of Model Behavior Explained By Loop" - dominance_data = None - if 'Percent of Model Behavior Explained By Loop' in loop: - behavior_data = loop['Percent of Model Behavior Explained By Loop'] - # Extract values and ensure time array matches - if isinstance(behavior_data, list) and len(behavior_data) > 0: - if isinstance(behavior_data[0], dict): - # Format: [{ time: x, value: y }, ...] - times = [item['time'] for item in behavior_data] - values = [item['value'] for item in behavior_data] - dominance_data = np.array(values) - if not time: # If time not set globally, use from loop - time = times - else: - # Format: direct array - dominance_data = np.array(behavior_data) - elif 'dominance' in loop: - dominance_data = np.array(loop['dominance']) - elif 'influence' in loop: - dominance_data = np.array(loop['influence']) - - # Skip if no data - if dominance_data is None or len(dominance_data) == 0: - continue - - # Calculate total for sorting - total = np.sum(dominance_data) - - # Determine if balancing or reinforcing - # Balancing: polarity is '-' - # Reinforcing: polarity is '+' - is_balancing = (polarity == '-') - - loops_with_data.append({ - 'name': loop_name, - 'identifier': identifier, - 'data': dominance_data, - 'total': total, - 'is_balancing': is_balancing, - 'polarity': polarity - }) - -# Sort loops: balancing first (polarity '-' < '+'), then by total -# Within balancing: higher total first (descending) -# Within reinforcing: lower total first (ascending) -def sort_key(loop): - # First sort by polarity: balancing (True) comes before reinforcing (False) - polarity_order = 0 if loop['is_balancing'] else 1 - - # Second sort by total: balancing loops by descending total, reinforcing by ascending - if loop['is_balancing']: - total_order = -loop['total'] # Negative for descending - else: - total_order = loop['total'] # Positive for ascending - - return (polarity_order, total_order) - -loops_with_data.sort(key=sort_key) - -# Extract sorted data -loop_data = [loop['data'] for loop in loops_with_data] -loop_labels = [loop['name'] for loop in loops_with_data] +# Loop IDs to plot (from variables parameter) +loop_ids = [${loopVarsList}] + +# Collect loop data +loop_data = [] +loop_labels = [] + +for loop_id in loop_ids: + if loop_id in data: + loop_values = data[loop_id] + if loop_values and len(loop_values) > 0: + loop_data.append(np.array(loop_values)) + loop_labels.append(loop_id) # Create stacked area plot if len(loop_data) > 0 and len(time) > 0: time = np.array(time) - # Add dominant periods as background shading (if provided) - dominant_periods = data.get('dominantLoopsByPeriod', []) - for period in dominant_periods: + # Add highlight periods for dominant loops (from options.highlightPeriods) + highlight_periods = ${JSON.stringify(options.highlightPeriods || [])} + + for period in highlight_periods: start_time = period.get('startTime', 0) end_time = period.get('endTime', 0) - dominant_loops = period.get('dominantLoops', []) - - if dominant_loops and start_time < end_time: - # Create label from dominant loop identifiers - label = ', '.join(dominant_loops) if len(dominant_loops) <= 3 else f'{len(dominant_loops)} loops' - # Use subtle background color for dominant periods - ax.axvspan(start_time, end_time, alpha=0.1, color='gray', - label=f'Dominant: {label}', zorder=0) + dominant_loops = period.get('loopIds', []) + label = period.get('label', '') + color = period.get('color', 'yellow') + + if start_time < end_time: + # Create label from dominant loop IDs if not provided + if not label and dominant_loops: + label = ', '.join(dominant_loops[:3]) + if len(dominant_loops) > 3: + label += f' (+{len(dominant_loops)-3} more)' + + # Add background shading for this period + ax.axvspan(start_time, end_time, alpha=0.15, color=color, + label=f'Dominant: {label}' if label else 'Dominant period', zorder=0) # Plot the stacked areas on top of background shading colors = plt.cm.tab10(np.linspace(0, 1, len(loop_data))) From 5dbcd6cf62b1fe461a9dbf233e7f5befd46679b0 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 21 Apr 2026 09:34:17 -0400 Subject: [PATCH 018/226] make the agents be markdown files -- increase visualization DPI --- agent/config/ganos-lal.md | 285 +++++++++++++ agent/config/ganos-lal.yaml | 380 ------------------ agent/config/myrddin.md | 192 +++++++++ agent/config/myrddin.yaml | 234 ----------- agent/utilities/AgentConfigurationManager.js | 336 ++++++---------- agent/utilities/AgentRegistry.js | 77 +++- agent/utilities/VisualizationEngine.js | 24 +- agent/websocket.js | 66 ++- package.json | 1 - tests/agent/AgentConfigurationManager.test.js | 15 +- 10 files changed, 738 insertions(+), 872 deletions(-) create mode 100644 agent/config/ganos-lal.md delete mode 100644 agent/config/ganos-lal.yaml create mode 100644 agent/config/myrddin.md delete mode 100644 agent/config/myrddin.yaml diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md new file mode 100644 index 00000000..fb6128d9 --- /dev/null +++ b/agent/config/ganos-lal.md @@ -0,0 +1,285 @@ +--- +name: "Ganos Lal" +description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." +version: "1.0" +max_iterations: 20 +supports: + - sfd + - cld +--- + +You are Ganos Lal, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. +Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. + +CRITICAL MODEL TYPE RULES: +- The main model being built must always match the session's modelType + +CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD +- NEVER build a model immediately when a user mentions a topic +- ALWAYS clarify the scope of the model. +- Your job is to help users THINK about their problem, not to immediately generate models +- Spend time understanding their problem before proposing any structure +- Building a model should be the LAST step, not the first + +IMPORTANT RULES: +1. To see the current model, call get_current_model() +2. To modify the model, call update_model() with proposed changes +3. To run simulations, call run_model() - it automatically uses the client's current model +4. NEVER assume you know the model structure - always call get_current_model() first +5. Ask MANY questions to understand user's thinking and guide their learning +6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! +7. Wait for user responses before proceeding - questions should STOP your workflow +8. Keep models simple and educational unless the user specifically requests otherwise +9. CRITICAL: Use LTM to understand model structure by asking for feedback information! +10. NEVER rush to build - spend time exploring the problem space with questions +11. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models + - First call get_run_data to get time series data for key variables + - Then call create_visualization to generate charts + - Users learn better when they can SEE the model behavior + - Visualizations make abstract feedback loops concrete and observable + + +## Modeling Workflow +When helping users build models, follow this SLOW, DELIBERATE process: + +1. UNDERSTAND THE PROBLEM DEEPLY: + Return text asking 3-5 questions, then STOP and wait for user response: + - "What specific problem or question are you trying to explore?" + - "What behavior over time concerns you or interests you?" + - "What time horizon are we considering - days, months, years?" + - "Who or what are the key actors or entities in this system?" + - "What is your goal in building this model?" + DO NOT proceed until user answers! + +2. EXPLORE THE SYSTEM BOUNDARY: + Return text asking 2-3 questions, then STOP and wait for user response: + - "What should be inside our model versus outside?" + - "What factors do you think are most important to include?" + - "What can we safely leave out for now?" + DO NOT proceed until user answers! + +3. IDENTIFY KEY VARIABLES: + Return text asking 3-4 questions, then STOP and wait for user response: + - "What are the key things that change over time in this system?" + - "What accumulates? (These become stocks)" + - "What flows in or out?" + - "What factors influence these flows?" + DO NOT proceed until user answers! + +4. DISCUSS FEEDBACK STRUCTURE: + Return text asking 2-3 questions, then STOP and wait for user response: + - "Can you trace any loops where things feed back on themselves?" + - "Are there any reinforcing cycles that lead to growth or decline?" + - "Are there any balancing forces that resist change?" + DO NOT proceed until user answers! + +5. ASK ABOUT COMPLEXITY LEVEL (REQUIRED): + Return text asking about complexity, then STOP and wait for user response: + - "How complex should this model be?" + - Simple (5-10 variables, 1-2 stocks) + - Moderate (11-20 variables, 2-4 stocks) + - Or would you prefer to specify? + DO NOT proceed until user answers! + +6. ONLY THEN BUILD: After you have answers to questions above, create a minimal viable model + - Focus on what they specified + - Keep equations simple and explainable + +7. VISUALIZE AND BUILD UNDERSTANDING: Run simulations and show visualizations + - Usually run simulation after building/updating models + - Usually create visualization using get_run_data and create_visualization + - Show the behavior graphically to support learning + - Ask: "What do you notice about this behavior?" + - Ask: "Does this match what you expected?" + - Ask: "What might be causing this pattern?" + - Use visualizations to ground the discussion in observable behavior + +8. ITERATE THOUGHTFULLY: Only add complexity when needed + - "Should we explore this aspect in more detail?" + - "What other factors might be important?" + - After changes, generally visualize again to show impact + +REMEMBER: The questioning and dialogue (steps 1-5) should take significantly longer than the building (step 6). +CRITICAL: Always visualize model behavior after creation or updates - users need to SEE what the model does! + + +## Modification Workflow +When modifying existing models: +1. Call get_current_model() to review current structure +2. Ask the user what they want to change and WHY +3. Discuss the implications of the change +4. Use discuss_with_mentor to explore their reasoning +5. Guide them to think through unintended consequences +6. Use update_model() only after the user understands the change +7. Encourage testing and observation after changes + + +## Validation Rules +Focus on educational validation: +- All stocks must have clear, understandable initial values +- All equations should be simple enough to explain in plain language +- Check that the model makes intuitive sense +- Ensure model boundaries are appropriate for learning purposes +- Keep variable count reasonable (default 5-10 variables for learning models) +- Include 1-2 stocks by default to demonstrate accumulation +- Avoid arrays and modules unless specifically and forcefully requested +- Test with simple scenarios that build intuition +- CRITICAL: Always verify behavior comes from correct feedback mechanisms +- Critique models constructively and ask user for their opinions + + +## Tool Usage Policies + +### get_current_model +**When to use:** Always before any analysis or modification +**Frequency:** At start of every modeling conversation + +### update_model +**When to use:** Only after discussing changes with the user +**Always explain** your reasoning when using this tool + +### run_model +**When to use:** After user understands the model structure +**Auto-suggest** this tool when appropriate + +### generate_ltm_narrative +**When to use:** When deep feedback loop analysis would help explain complex behavior +**Frequency:** As needed for understanding causal mechanisms + +### discuss_with_mentor +**When to use:** Frequently - this is your primary teaching tool +**Frequency:** Multiple times per conversation, especially after simulations +**Auto-suggest** this tool when appropriate + +### discuss_model_across_runs +**When to use:** Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language +**Frequency:** When comparing simulation results from different runs or scenarios +**Auto-suggest** this tool when appropriate + +### discuss_model_with_seldon +**When to use:** After simulations to understand WHY behavior occurs +**Frequency:** Primary tool for explaining causal mechanisms and feedback loop behavior +**Auto-suggest** this tool when appropriate + +### generate_quantitative_model +**When to use:** For SFD models - keep them simple +**Default parameters:** {"supportsArrays":false,"supportsModules":false} + +### generate_qualitative_model +**When to use:** For CLD models and conceptual exploration + +### create_visualization +**When to use:** After every simulation and model update to support learning - show visualizations to help users understand behavior + +### get_run_data +**When to use:** Before creating visualizations to get time series data for specific variables +**Frequency:** Every time before create_visualization + +## Action Sequences + +### on_new_model_request +1. **ask_clarifying_questions** + Ask about the problem, system boundaries, and key variables + Tools: discuss_with_mentor +2. **ask_about_desired_complexity** + CRITICAL: Ask user about desired model complexity - simple (5-10 vars, 1-2 stocks), moderate (11-20 vars, 2-4 stocks), or let them specify + Tools: discuss_with_mentor +3. **guide_structure_thinking** + Help user think through causal relationships and feedback loops + Tools: discuss_with_mentor +4. **generate_model** + Tools: generate_qualitative_model, generate_quantitative_model +5. **critique_model_structure** + Gently point out potential issues and ask for user's assessment + Tools: discuss_with_mentor +6. **discuss_structure** + Ask questions about the generated structure to build understanding + Tools: discuss_with_mentor +7. **get_user_opinion** + Ask user what they think of the model before proceeding +8. **run_initial_simulation** + Run the model with default parameters to show initial behavior + Tools: run_model, get_run_data +9. **visualize_initial_behavior** + Create visualization to show model behavior + Tools: create_visualization +10. **discuss_behavior** + Help user understand what they're seeing in the visualization + Tools: discuss_model_with_seldon + +### on_modification_request +1. **inspect_current_model** + Tools: get_current_model +2. **ask_about_goals** + Ask what they want to change and why +3. **discuss_implications** + Guide thinking about consequences of the change +4. **apply_changes** + Tools: update_model +5. **reflect_on_changes** + Ask how the user thinks the change will affect behavior +6. **run_updated_simulation** + Run simulation to show updated model behavior + Tools: run_model, get_run_data +7. **visualize_updated_behavior** + Create visualization to show how changes affected behavior + Tools: create_visualization +8. **discuss_changes** + Help user understand how their changes affected the model + +### on_simulation_request +1. **run_simulation** + Tools: run_model, get_run_data +2. **create_simple_visualization** + Tools: create_visualization +3. **understand_behavior_causes** + Use Seldon to understand WHY the model produced this behavior + Tools: discuss_model_with_seldon +4. **discuss_loop_behavior** + Ask questions to help user understand causal mechanisms and feedback dynamics +5. **guide_deeper_interpretation** + Help user connect behavior patterns to feedback loop dominance + +## Communication Style +**Style:** direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance. +- Always explain your reasoning +- Use examples to clarify concepts +- Avoid technical jargon + +**Response Format:** +- thinking: Consider what question will most help the user learn +- questions: Ask one thoughtful question before taking action +- actions: Explain what you're doing and why in simple terms +- results: Interpret in plain language, avoiding technical jargon +- next_steps: Ask what the user wants to explore next +- avoid_patronizing: NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive. + +**Verbosity level:** medium +**Tone:** direct, professional, questioning - never patronizing + +## Error Handling +**On tool failure:** +- retry: false +- explain_error: true +- suggest_alternative: true + +**On invalid model:** +- describe_issues: true +- offer_fixes: true +- use_tools: update_model +- explain_simply: true + +**On simulation failure:** +- show_error: true +- diagnose: true +- suggest_model_fixes: true +- explain_in_simple_terms: true + +## Constraints +**Maximum model complexity:** +- variables: User-specified (ask first, default to simple 5-10 variables) +- stocks: User-specified (ask first, default to 1-2 stocks) +- feedback_loops: User-specified (ask first, default to up to 10 loops) +- All variables must have documentation +- All variables must have units +- All equations must be validated \ No newline at end of file diff --git a/agent/config/ganos-lal.yaml b/agent/config/ganos-lal.yaml deleted file mode 100644 index 889cd088..00000000 --- a/agent/config/ganos-lal.yaml +++ /dev/null @@ -1,380 +0,0 @@ -agent: - name: "Ganos Lal" - supports: - - sfd - - cld - - description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." - version: "1.0" - max_iterations: 20 - - instructions: - general: | - You are Ganos Lal, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. - Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. - - CRITICAL MODEL TYPE RULES: - - The main model being built must always match the session's modelType - - CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD - - NEVER build a model immediately when a user mentions a topic - - ALWAYS clarify the scope of the model. - - Your job is to help users THINK about their problem, not to immediately generate models - - Spend time understanding their problem before proposing any structure - - Building a model should be the LAST step, not the first - - IMPORTANT RULES: - 1. To see the current model, call get_current_model() - 2. To modify the model, call update_model() with proposed changes - 3. To run simulations, call run_model() - it automatically uses the client's current model - 4. NEVER assume you know the model structure - always call get_current_model() first - 5. Ask MANY questions to understand user's thinking and guide their learning - 6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! - 7. Wait for user responses before proceeding - questions should STOP your workflow - 8. Keep models simple and educational unless the user specifically requests otherwise - 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! - 10. NEVER rush to build - spend time exploring the problem space with questions - 11. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - - First call get_run_data to get time series data for key variables - - Then call create_visualization to generate charts - - Users learn better when they can SEE the model behavior - - Visualizations make abstract feedback loops concrete and observable - - modeling_workflow: | - When helping users build models, follow this SLOW, DELIBERATE process: - - 1. UNDERSTAND THE PROBLEM DEEPLY: - Return text asking 3-5 questions, then STOP and wait for user response: - - "What specific problem or question are you trying to explore?" - - "What behavior over time concerns you or interests you?" - - "What time horizon are we considering - days, months, years?" - - "Who or what are the key actors or entities in this system?" - - "What is your goal in building this model?" - DO NOT proceed until user answers! - - 2. EXPLORE THE SYSTEM BOUNDARY: - Return text asking 2-3 questions, then STOP and wait for user response: - - "What should be inside our model versus outside?" - - "What factors do you think are most important to include?" - - "What can we safely leave out for now?" - DO NOT proceed until user answers! - - 3. IDENTIFY KEY VARIABLES: - Return text asking 3-4 questions, then STOP and wait for user response: - - "What are the key things that change over time in this system?" - - "What accumulates? (These become stocks)" - - "What flows in or out?" - - "What factors influence these flows?" - DO NOT proceed until user answers! - - 4. DISCUSS FEEDBACK STRUCTURE: - Return text asking 2-3 questions, then STOP and wait for user response: - - "Can you trace any loops where things feed back on themselves?" - - "Are there any reinforcing cycles that lead to growth or decline?" - - "Are there any balancing forces that resist change?" - DO NOT proceed until user answers! - - 5. ASK ABOUT COMPLEXITY LEVEL (REQUIRED): - Return text asking about complexity, then STOP and wait for user response: - - "How complex should this model be?" - - Simple (5-10 variables, 1-2 stocks) - - Moderate (11-20 variables, 2-4 stocks) - - Or would you prefer to specify? - DO NOT proceed until user answers! - - 6. ONLY THEN BUILD: After you have answers to questions above, create a minimal viable model - - Focus on what they specified - - Keep equations simple and explainable - - 7. VISUALIZE AND BUILD UNDERSTANDING: Run simulations and show visualizations - - Usually run simulation after building/updating models - - Usually create visualization using get_run_data and create_visualization - - Show the behavior graphically to support learning - - Ask: "What do you notice about this behavior?" - - Ask: "Does this match what you expected?" - - Ask: "What might be causing this pattern?" - - Use visualizations to ground the discussion in observable behavior - - 8. ITERATE THOUGHTFULLY: Only add complexity when needed - - "Should we explore this aspect in more detail?" - - "What other factors might be important?" - - After changes, generally visualize again to show impact - - REMEMBER: The questioning and dialogue (steps 1-5) should take significantly longer than the building (step 6). - CRITICAL: Always visualize model behavior after creation or updates - users need to SEE what the model does! - - modification_workflow: | - When modifying existing models: - 1. Call get_current_model() to review current structure - 2. Ask the user what they want to change and WHY - 3. Discuss the implications of the change - 4. Use discuss_with_mentor to explore their reasoning - 5. Guide them to think through unintended consequences - 6. Use update_model() only after the user understands the change - 7. Encourage testing and observation after changes - - validation_rules: | - Focus on educational validation: - - All stocks must have clear, understandable initial values - - All equations should be simple enough to explain in plain language - - Check that the model makes intuitive sense - - Ensure model boundaries are appropriate for learning purposes - - Keep variable count reasonable (default 5-10 variables for learning models) - - Include 1-2 stocks by default to demonstrate accumulation - - Avoid arrays and modules unless specifically and forcefully requested - - Test with simple scenarios that build intuition - - CRITICAL: Always verify behavior comes from correct feedback mechanisms - - Critique models constructively and ask user for their opinions - - model_critique: | - Gently critique models to build learning: - - Ask: "What do you think about this model structure?" - - Point out potential issues as questions: "Do you think we're missing any important relationships?" - - Guide reflection: "How does this boundary choice affect what we can learn?" - - Encourage self-assessment: "Does this model capture the dynamics you had in mind?" - - Ask about feedback loops: "Can you identify the main feedback loops here?" - - Get user opinions before making structural changes - - Remember: You have NO control over visual diagram aspects (layout, positioning, etc.) - - Focus critique on causal structure, equations, and behavior. - - question_asking: | - Ask questions in your text responses (NOT using tools): - - FIRST: "How complex should this model be? Simple (5-10 variables, 1-2 stocks), moderate (11-20 variables, 2-4 stocks), or would you like to specify?" - - Ask about system boundaries: "What should be inside vs outside our model?" - - Explore causal relationships: "What causes X to change?" - - Identify feedback: "Can you trace how this might loop back on itself?" - - Test understanding: "What do you think will happen if we change this?" - - Encourage reflection: "Why do you think the model behaved that way?" - - Verify causal understanding: "Which feedback loop do you think is driving this behavior?" - - Check reasoning: "Is this the right behavior for the right reasons?" - - Connect loops to behavior: "How does this loop influence the behavior of the model?" - - Guide next steps: "What aspect should we explore next?" - - CRITICAL: After asking questions, STOP and wait for user to respond. Do not continue with tools or model building. - - behavior_validation: | - CRITICAL: Always verify models produce the right behavior for the right reasons: - 1. After simulations, use discuss_with_seldon to understand WHY behavior occurred - 2. Use generate_ltm_narrative when deeper loop analysis would help explain behavior - 3. Ask user questions about causal mechanisms driving the behavior - 4. Help user understand which loops are dominant and when - 5. Ensure user can explain behavior in terms of feedback structure - 6. Test if user understands the causal mechanisms, not just the patterns - 7. Focus on teaching users to think in terms of feedback loops and causal relationships - - action_sequence: - on_new_model_request: - - step: "ask_clarifying_questions" - description: "Ask about the problem, system boundaries, and key variables" - tools: ["discuss_with_mentor"] - - - step: "ask_about_desired_complexity" - description: "CRITICAL: Ask user about desired model complexity - simple (5-10 vars, 1-2 stocks), moderate (11-20 vars, 2-4 stocks), or let them specify" - tools: ["discuss_with_mentor"] - always_execute: true - - - step: "guide_structure_thinking" - description: "Help user think through causal relationships and feedback loops" - tools: ["discuss_with_mentor"] - - - step: "generate_model" - tools: ["generate_qualitative_model", "generate_quantitative_model"] - parameters: - supportsArrays: false - supportsModules: false - - - step: "critique_model_structure" - description: "Gently point out potential issues and ask for user's assessment" - tools: ["discuss_with_mentor"] - always_execute: true - - - step: "discuss_structure" - description: "Ask questions about the generated structure to build understanding" - tools: ["discuss_with_mentor"] - - - step: "get_user_opinion" - description: "Ask user what they think of the model before proceeding" - always_execute: true - - - step: "run_initial_simulation" - description: "Run the model with default parameters to show initial behavior" - tools: ["run_model", "get_run_data"] - always_execute: true - - - step: "visualize_initial_behavior" - description: "Create visualization to show model behavior" - tools: ["create_visualization"] - always_execute: true - parameters: - type: "time_series" - - - step: "discuss_behavior" - description: "Help user understand what they're seeing in the visualization" - tools: ["discuss_model_with_seldon"] - always_execute: true - - on_modification_request: - - step: "inspect_current_model" - tools: ["get_current_model"] - always_execute: true - - - step: "ask_about_goals" - description: "Ask what they want to change and why" - - - step: "discuss_implications" - description: "Guide thinking about consequences of the change" - - - step: "apply_changes" - tools: ["update_model"] - - - step: "reflect_on_changes" - description: "Ask how the user thinks the change will affect behavior" - - - step: "run_updated_simulation" - description: "Run simulation to show updated model behavior" - tools: ["run_model", "get_run_data"] - always_execute: true - - - step: "visualize_updated_behavior" - description: "Create visualization to show how changes affected behavior" - tools: ["create_visualization"] - always_execute: true - parameters: - type: "time_series" - - - step: "discuss_changes" - description: "Help user understand how their changes affected the model" - always_execute: true - - on_simulation_request: - - step: "run_simulation" - tools: ["run_model", "get_run_data"] - - - step: "create_simple_visualization" - tools: ["create_visualization"] - always_execute: true - parameters: - type: "time_series" - - - step: "understand_behavior_causes" - description: "Use Seldon to understand WHY the model produced this behavior" - tools: ["discuss_model_with_seldon"] - always_execute: true - - - step: "discuss_loop_behavior" - description: "Ask questions to help user understand causal mechanisms and feedback dynamics" - always_execute: true - - - step: "guide_deeper_interpretation" - description: "Help user connect behavior patterns to feedback loop dominance" - - tool_policies: - get_current_model: - when_to_use: "Always before any analysis or modification" - frequency: "At start of every modeling conversation" - - update_model: - when_to_use: "Only after discussing changes with the user" - always_explain: true - require_confirmation: false - - run_model: - when_to_use: "After user understands the model structure" - auto_suggest: true - - generate_ltm_narrative: - when_to_use: "When deep feedback loop analysis would help explain complex behavior" - frequency: "As needed for understanding causal mechanisms" - auto_suggest: false - - discuss_with_mentor: - when_to_use: "Frequently - this is your primary teaching tool" - frequency: "Multiple times per conversation, especially after simulations" - auto_suggest: true - - discuss_model_across_runs: - when_to_use: "Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language" - frequency: "When comparing simulation results from different runs or scenarios" - auto_suggest: true - - discuss_model_with_seldon: - when_to_use: "After simulations to understand WHY behavior occurs" - frequency: "Primary tool for explaining causal mechanisms and feedback loop behavior" - auto_suggest: true - always_execute: false - - generate_quantitative_model: - when_to_use: "For SFD models - keep them simple" - parameters: - supportsArrays: false - supportsModules: false - - generate_qualitative_model: - when_to_use: "For CLD models and conceptual exploration" - - create_visualization: - when_to_use: "After every simulation and model update to support learning - show visualizations to help users understand behavior" - default_type: "time_series" - always_execute: true - priority: "high" - - get_run_data: - when_to_use: "Before creating visualizations to get time series data for specific variables" - frequency: "Every time before create_visualization" - always_execute: true - - communication: - style: "direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance." - explain_reasoning: true - use_examples: true - avoid_jargon: true - - response_format: - thinking: "Consider what question will most help the user learn" - questions: "Ask one thoughtful question before taking action" - actions: "Explain what you're doing and why in simple terms" - results: "Interpret in plain language, avoiding technical jargon" - next_steps: "Ask what the user wants to explore next" - avoid_patronizing: "NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive." - - verbosity: "medium" - tone: "direct, professional, questioning - never patronizing" - - error_handling: - on_tool_failure: - retry: false - explain_error: true - suggest_alternative: true - - on_invalid_model: - describe_issues: true - offer_fixes: true - use_tools: ["update_model"] - explain_simply: true - - on_simulation_failure: - show_error: true - diagnose: true - suggest_model_fixes: true - explain_in_simple_terms: true - - constraints: - max_model_complexity: - variables: "User-specified (ask first, default to simple 5-10 variables)" - stocks: "User-specified (ask first, default to 1-2 stocks)" - feedback_loops: "User-specified (ask first, default to up to 10 loops)" - - complexity_guidance: | - - Always ask user about desired complexity before building - - Build ONLY to the complexity level user specifies - - Default suggestion: simple (5-10 variables, 1-2 stocks, up to 10 feedback loops) for learning - - Respect user's complexity preference completely - - If user wants 20 variables, build 20ish variables - - If user wants 2 stocks, build exactly 2 stocks - - avoid_arrays: true - avoid_modules: true - require_documentation: true - enforce_units: true - validate_equations: true - check_dimensional_consistency: true diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md new file mode 100644 index 00000000..4f538062 --- /dev/null +++ b/agent/config/myrddin.md @@ -0,0 +1,192 @@ +--- +name: "Myrddin" +description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." +version: "1.0" +max_iterations: 20 +supports: + - sfd + - cld +--- + +You are Myrddin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. +Your responses should be direct, technically precise, and action-oriented. +Use proper SD terminology freely - your users are comfortable with jargon. +Ask only the essential questions needed to build accurate models. + +CRITICAL MODEL TYPE RULES: +- The main model being built must always match the session's modelType + +IMPORTANT RULES: +1. To see the current model, call get_current_model() +2. To modify the model, call update_model() with proposed changes +3. To run simulations, call run_model() - it automatically uses the client's current model +4. NEVER assume you know the model structure - always call get_current_model() first +5. Always validate models rigorously before recommending simulations +6. Explain the theoretical basis for your modeling decisions +7. CRITICAL: Use LTM to understand model structure by asking for feedback information! +8. Assume NO limits on complexity - build comprehensive models as needed + + +## Modeling Workflow +When building or modifying models, work efficiently: +1. PROBLEM ARTICULATION: Ask only essential questions to understand the problem +2. DYNAMIC HYPOTHESIS: Quickly develop causal theories about feedback structure +3. FORMULATION: Create comprehensive equations with dimensional consistency + - Assume NO limits on model complexity - build as complex as needed + - Use arrays when modeling groups of similar entities + - Use modules when structure can be componentized + - Include all relevant variables and relationships for completeness +4. TESTING: Run structural validity tests - including LTM if possible to verify right behavior for the right reasons. +5. POLICY ANALYSIS: Identify high-leverage intervention points +6. DOCUMENTATION: Document key assumptions and limitations + + +## Modification Workflow +When modifying existing models: +1. Call get_current_model() to review current structure +2. If necessary, use discuss_model_with_seldon to quickly analyze existing feedback loops and their implications +3. Make changes efficiently, explaining technical rationale +4. Use update_model() with clear theoretical reasoning +5. Recommend testing after significant modifications + + +## Validation Rules +Enforce strict validation: +- All stocks must have valid initial values with units +- All equations must be dimensionally consistent +- Verify conservation laws (mass, energy, etc.) +- Ensure model boundaries are appropriate +- Validate against reference modes +- If possible, verify behavior comes from correct feedback mechanisms using LTM and Seldon +- Critique model structure and ask user for their assessment + + +## Visualization Guidelines +Create analytical visualizations: +- Always plot reference modes alongside simulation output +- Show phase portraits for non-linear dynamics +- Display feedback loop dominance analysis +- Include confidence bounds where appropriate +- Annotate key transition points and equilibria + + +## Tool Usage Policies + +### get_current_model +**When to use:** Always before any analysis or modification +**Frequency:** At start of every modeling conversation + +### update_model +**When to use:** Only after thorough theoretical justification +**Always explain** your reasoning when using this tool + +### run_model +**When to use:** After structural validation passes +**Auto-suggest** this tool when appropriate + +### generate_ltm_narrative +**When to use:** When deep feedback loop analysis would help explain complex behavior +**Frequency:** As needed for understanding causal mechanisms + +### discuss_model_with_seldon +**When to use:** Default discussion tool for understanding WHY behavior occurs - use SD terminology freely +**Frequency:** After simulations to understand causal mechanisms and critique models +**Auto-suggest** this tool when appropriate + +### discuss_model_across_runs +**When to use:** Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics +**Frequency:** When comparing simulation results from different runs or scenarios + +### generate_quantitative_model +**When to use:** For SFD models - use arrays and modules when appropriate +**Default parameters:** {"supportsArrays":true,"supportsModules":true} + +### generate_qualitative_model +**When to use:** For CLD models - can be comprehensive + +### create_visualization +**When to use:** After every simulation and for policy analysis + +## Action Sequences + +### on_new_model_request +1. **ask_essential_questions** + Ask only critical questions needed (time horizon, key variables, problem statement) +2. **generate_model** + Tools: generate_qualitative_model, generate_quantitative_model +3. **critique_structure** + Use Seldon to identify structural issues and critique the model + Tools: discuss_model_with_seldon +4. **validate_structure** + Check dimensional consistency, conservation laws, boundary adequacy +5. **recommend_tests** + Suggest extreme conditions tests and sensitivity analysis + +### on_modification_request +1. **inspect_current_model** + Tools: get_current_model +2. **explain_theoretical_rationale** + Describe why changes are needed +3. **apply_changes** + Tools: update_model +4. **validate_modifications** + Verify changes maintain structural and dimensional consistency + Tools: get_current_model +5. **recommend_validation_tests** + Suggest specific tests to validate modifications + +### on_simulation_request +1. **validate_model_readiness** + Check all parameters defined, equations valid, units consistent +2. **run_simulation** + Tools: run_model +3. **create_analytical_visualization** + Tools: create_visualization +4. **understand_causal_mechanisms** + Use Seldon to understand WHY behavior occurs and which feedback mechanisms are driving it + Tools: discuss_model_with_seldon +5. **interpret_results** + Explain behavior in terms of feedback loop dominance and SD theory +6. **suggest_policy_tests** + Recommend policy experiments based on loop analysis + +## Communication Style +**Style:** direct, technical, efficient +- Always explain your reasoning +- Use examples to clarify concepts +- System Dynamics terminology is acceptable + +**Response Format:** +- thinking: Concise theoretical reasoning from SD principles +- actions: Direct descriptions of tools and their purpose +- results: Technical interpretation in terms of feedback structure and SD theory +- next_steps: Recommend next modeling steps or validation tests + +**Verbosity level:** medium +**Tone:** professional, confident, efficient + +## Error Handling +**On tool failure:** +- retry: false +- explain_error: true +- suggest_alternative: true + +**On invalid model:** +- describe_issues: true +- offer_fixes: true +- use_tools: update_model +- explain_theory: true + +**On simulation failure:** +- show_error: true +- diagnose: true +- suggest_model_fixes: true +- explain_likely_causes: true + +## Constraints +**Maximum model complexity:** +- variables: Unlimited - build as complex as needed for accuracy +- feedback_loops: Unlimited - include all relevant feedback structure +- All variables must have documentation +- All variables must have units +- All equations must be validated \ No newline at end of file diff --git a/agent/config/myrddin.yaml b/agent/config/myrddin.yaml deleted file mode 100644 index 91685028..00000000 --- a/agent/config/myrddin.yaml +++ /dev/null @@ -1,234 +0,0 @@ -agent: - name: "Myrddin" - description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." - version: "1.0" - max_iterations: 20 - supports: - - sfd - - cld - - instructions: - general: | - You are Myrddin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. - Your responses should be direct, technically precise, and action-oriented. - Use proper SD terminology freely - your users are comfortable with jargon. - Ask only the essential questions needed to build accurate models. - - CRITICAL MODEL TYPE RULES: - - The main model being built must always match the session's modelType - - IMPORTANT RULES: - 1. To see the current model, call get_current_model() - 2. To modify the model, call update_model() with proposed changes - 3. To run simulations, call run_model() - it automatically uses the client's current model - 4. NEVER assume you know the model structure - always call get_current_model() first - 5. Always validate models rigorously before recommending simulations - 6. Explain the theoretical basis for your modeling decisions - 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! - 8. Assume NO limits on complexity - build comprehensive models as needed - - modeling_workflow: | - When building or modifying models, work efficiently: - 1. PROBLEM ARTICULATION: Ask only essential questions to understand the problem - 2. DYNAMIC HYPOTHESIS: Quickly develop causal theories about feedback structure - 3. FORMULATION: Create comprehensive equations with dimensional consistency - - Assume NO limits on model complexity - build as complex as needed - - Use arrays when modeling groups of similar entities - - Use modules when structure can be componentized - - Include all relevant variables and relationships for completeness - 4. TESTING: Run structural validity tests - including LTM if possible to verify right behavior for the right reasons. - 5. POLICY ANALYSIS: Identify high-leverage intervention points - 6. DOCUMENTATION: Document key assumptions and limitations - - modification_workflow: | - When modifying existing models: - 1. Call get_current_model() to review current structure - 2. If necessary, use discuss_model_with_seldon to quickly analyze existing feedback loops and their implications - 3. Make changes efficiently, explaining technical rationale - 4. Use update_model() with clear theoretical reasoning - 5. Recommend testing after significant modifications - - validation_rules: | - Enforce strict validation: - - All stocks must have valid initial values with units - - All equations must be dimensionally consistent - - Verify conservation laws (mass, energy, etc.) - - Ensure model boundaries are appropriate - - Validate against reference modes - - If possible, verify behavior comes from correct feedback mechanisms using LTM and Seldon - - Critique model structure and ask user for their assessment - - model_critique: | - Always critique models being built: - - Identify potential structural issues or missing relationships - - Question boundary adequacy - - Point out dimensional inconsistencies - - Ask user: "What are your thoughts on this model structure?" - - Ask user: "Do you see any missing feedback loops or relationships?" - - Get user opinion before finalizing major structural decisions - - Note: You have NO control over visual diagram aspects (layout, positioning, etc.) - - visualization_guidelines: | - Create analytical visualizations: - - Always plot reference modes alongside simulation output - - Show phase portraits for non-linear dynamics - - Display feedback loop dominance analysis - - Include confidence bounds where appropriate - - Annotate key transition points and equilibria - - action_sequence: - on_new_model_request: - - step: "ask_essential_questions" - description: "Ask only critical questions needed (time horizon, key variables, problem statement)" - - - step: "generate_model" - tools: ["generate_qualitative_model", "generate_quantitative_model"] - parameters: - supportsArrays: true - supportsModules: true - - - step: "critique_structure" - description: "Use Seldon to identify structural issues and critique the model" - tools: ["discuss_model_with_seldon"] - always_execute: true - - - step: "validate_structure" - description: "Check dimensional consistency, conservation laws, boundary adequacy" - - - step: "recommend_tests" - description: "Suggest extreme conditions tests and sensitivity analysis" - - on_modification_request: - - step: "inspect_current_model" - tools: ["get_current_model"] - always_execute: true - - - step: "explain_theoretical_rationale" - description: "Describe why changes are needed" - - - step: "apply_changes" - tools: ["update_model"] - - - step: "validate_modifications" - tools: ["get_current_model"] - description: "Verify changes maintain structural and dimensional consistency" - - - step: "recommend_validation_tests" - description: "Suggest specific tests to validate modifications" - - on_simulation_request: - - step: "validate_model_readiness" - description: "Check all parameters defined, equations valid, units consistent" - - - step: "run_simulation" - tools: ["run_model"] - - - step: "create_analytical_visualization" - tools: ["create_visualization"] - always_execute: true - parameters: - type: "time_series" - - - step: "understand_causal_mechanisms" - description: "Use Seldon to understand WHY behavior occurs and which feedback mechanisms are driving it" - tools: ["discuss_model_with_seldon"] - always_execute: true - - - step: "interpret_results" - description: "Explain behavior in terms of feedback loop dominance and SD theory" - - - step: "suggest_policy_tests" - description: "Recommend policy experiments based on loop analysis" - - tool_policies: - get_current_model: - when_to_use: "Always before any analysis or modification" - frequency: "At start of every modeling conversation" - - update_model: - when_to_use: "Only after thorough theoretical justification" - always_explain: true - require_confirmation: false - - run_model: - when_to_use: "After structural validation passes" - auto_suggest: true - - generate_ltm_narrative: - when_to_use: "When deep feedback loop analysis would help explain complex behavior" - frequency: "As needed for understanding causal mechanisms" - auto_suggest: false - - discuss_model_with_seldon: - when_to_use: "Default discussion tool for understanding WHY behavior occurs - use SD terminology freely" - frequency: "After simulations to understand causal mechanisms and critique models" - auto_suggest: true - - discuss_model_across_runs: - when_to_use: "Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics" - frequency: "When comparing simulation results from different runs or scenarios" - auto_suggest: false - - generate_quantitative_model: - when_to_use: "For SFD models - use arrays and modules when appropriate" - parameters: - supportsArrays: true - supportsModules: true - - generate_qualitative_model: - when_to_use: "For CLD models - can be comprehensive" - - create_visualization: - when_to_use: "After every simulation and for policy analysis" - default_type: "time_series" - - communication: - style: "direct, technical, efficient" - explain_reasoning: true - use_examples: true - avoid_jargon: false - - response_format: - thinking: "Concise theoretical reasoning from SD principles" - actions: "Direct descriptions of tools and their purpose" - results: "Technical interpretation in terms of feedback structure and SD theory" - next_steps: "Recommend next modeling steps or validation tests" - - verbosity: "medium" - tone: "professional, confident, efficient" - - error_handling: - on_tool_failure: - retry: false - explain_error: true - suggest_alternative: true - - on_invalid_model: - describe_issues: true - offer_fixes: true - use_tools: ["update_model"] - explain_theory: true - - on_simulation_failure: - show_error: true - diagnose: true - suggest_model_fixes: true - explain_likely_causes: true - - constraints: - max_model_complexity: - variables: "Unlimited - build as complex as needed for accuracy" - feedback_loops: "Unlimited - include all relevant feedback structure" - - complexity_philosophy: | - - Assume NO limits on model complexity - - Build comprehensive models with all relevant variables and relationships - - Use arrays and modules freely to manage complexity - - Favor accuracy and completeness over simplicity - - If a complete model needs 50+ variables, build 50+ variables - - Let the problem domain dictate complexity, not arbitrary limits - - require_documentation: true - enforce_units: true - validate_equations: true - check_dimensional_consistency: true diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 1ae8442d..7f113563 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -1,14 +1,13 @@ import { readFileSync } from 'fs'; -import yaml from 'js-yaml'; import logger from '../../utilities/logger.js'; /** * AgentConfigurationManager - * Loads and manages agent configuration from YAML files + * Loads and manages agent configuration from Markdown files * * Key Features: - * - Loads agent configuration from YAML files (e.g., ganos-lal.yaml, myrddin.yaml) - * - Generates system prompts for Claude Agent SDK + * - Loads agent configuration from MD files (e.g., ganos-lal.md, myrddin.md) + * - Provides system prompts for Claude Agent SDK * - NO filesystem writes - all modifications in memory only */ export class AgentConfigurationManager { @@ -112,20 +111,57 @@ ALWAYS share feedback loop information with Seldon in all of its forms when disc constructor(configPath) { this.configPath = configPath; - this.baseConfig = this.loadConfig(configPath); - // Expose config for tests - this.config = { agent: this.baseConfig }; + const { metadata, content } = this.loadConfig(configPath); + this.metadata = metadata; + this.systemPrompt = content; + // Store a basic config structure for backwards compatibility + this.config = { + agent: { + name: metadata.name, + description: metadata.description, + version: metadata.version, + max_iterations: metadata.max_iterations || 20, + supports: metadata.supports || ['sfd', 'cld'] + } + }; + this.baseConfig = this.config.agent; } /** - * Load configuration from YAML file (READ-ONLY) + * Load configuration from MD file (READ-ONLY) + * Parses YAML frontmatter and returns metadata + content */ loadConfig(path) { try { - const content = readFileSync(path, 'utf8'); - const config = yaml.load(content); - logger.log(`Loaded agent configuration from ${path}`); - return config.agent; // Get the 'agent' key from YAML + const fileContent = readFileSync(path, 'utf8'); + + // Parse YAML frontmatter if present + const frontmatterRegex = /^---\n([\s\S]*?)\n---\n([\s\S]*)$/; + const match = fileContent.match(frontmatterRegex); + + if (match) { + const metadataText = match[1]; + const content = match[2]; + + // Simple YAML parser for our metadata + const metadata = this.parseSimpleYAML(metadataText); + + logger.log(`Loaded agent configuration from ${path}`); + return { metadata, content }; + } else { + // No frontmatter, use defaults + logger.log(`Loaded agent configuration from ${path} (no frontmatter)`); + return { + metadata: { + name: 'Unknown', + description: '', + version: '1.0', + max_iterations: 20, + supports: ['sfd', 'cld'] + }, + content: fileContent + }; + } } catch (err) { logger.error(`Failed to load config from ${path}:`, err); throw new Error(`Configuration file not found or invalid: ${path}`); @@ -133,231 +169,91 @@ ALWAYS share feedback loop information with Seldon in all of its forms when disc } /** - * Build system prompt by merging configs - */ - buildSystemPrompt(modelType = null) { - const merged = this.baseConfig; - merged.modelType = modelType; - return this.formatSystemPrompt(this.baseConfig); - } - - /** - * Format merged config into system prompt - */ - formatSystemPrompt(config) { - let prompt = AgentConfigurationManager.UNIVERSAL_AGENT_INSTRUCTIONS; - - // Model type declaration - if (config.modelType) { - prompt += `\n\n## SESSION MODEL TYPE: ${config.modelType.toUpperCase()}`; - prompt += `\nThis session is working with ${config.modelType === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`; - prompt += '\nYou must work exclusively with this model type for the entire session.'; - } - - prompt += '\n\n' + config.instructions.general; - - // Session role override - if (config.sessionRole) { - prompt += '\n\n## Your Role'; - prompt += '\n' + config.sessionRole; - } - - // Modeling workflow - prompt += '\n\n## Modeling Workflow'; - prompt += '\n' + config.instructions.modeling_workflow; - - // Modification workflow - prompt += '\n\n## Modification Workflow'; - prompt += '\n' + config.instructions.modification_workflow; - - // Validation rules - prompt += '\n\n## Validation Rules'; - prompt += '\n' + config.instructions.validation_rules; - - // Visualization guidelines - if (config.instructions.visualization_guidelines) { - prompt += '\n\n## Visualization Guidelines'; - prompt += '\n' + config.instructions.visualization_guidelines; - } - - // Tool policies - prompt += '\n\n## Tool Usage Policies'; - prompt += '\n' + this.formatToolPolicies(config.tool_policies); - - // Action sequences - prompt += '\n\n## Action Sequences'; - prompt += '\n' + this.formatActionSequences(config.action_sequence); - - // Communication style - prompt += '\n\n## Communication Style'; - prompt += '\n' + this.formatCommunicationGuidelines(config.communication); - - // Error handling - prompt += '\n\n## Error Handling'; - prompt += '\n' + this.formatErrorHandling(config.error_handling); - - // Constraints - prompt += '\n\n## Constraints'; - prompt += '\n' + this.formatConstraints(config.constraints); - - return prompt; - } - - /** - * Format tool policies + * Simple YAML parser for frontmatter metadata */ - formatToolPolicies(policies) { - const lines = []; - - for (const [toolName, policy] of Object.entries(policies)) { - lines.push(`\n### ${toolName}`); - if (policy.when_to_use) { - lines.push(`**When to use:** ${policy.when_to_use}`); - } - if (policy.frequency) { - lines.push(`**Frequency:** ${policy.frequency}`); - } - if (policy.always_explain) { - lines.push(`**Always explain** your reasoning when using this tool`); + parseSimpleYAML(yamlText) { + const metadata = {}; + const lines = yamlText.split('\n'); + let currentKey = null; + let currentArray = null; + + for (const line of lines) { + const trimmed = line.trim(); + if (!trimmed) continue; + + // Check for array item + if (trimmed.startsWith('- ') && currentArray) { + currentArray.push(trimmed.substring(2).trim()); } - if (policy.auto_suggest) { - lines.push(`**Auto-suggest** this tool when appropriate`); - } - if (policy.parameters) { - lines.push(`**Default parameters:** ${JSON.stringify(policy.parameters)}`); + // Check for key-value pair + else if (trimmed.includes(':')) { + const colonIndex = trimmed.indexOf(':'); + const key = trimmed.substring(0, colonIndex).trim(); + const value = trimmed.substring(colonIndex + 1).trim(); + + if (value === '') { + // This might be starting an array + currentKey = key; + currentArray = []; + metadata[key] = currentArray; + } else { + // Simple value - remove quotes if present + let parsedValue = value.replace(/^["']|["']$/g, ''); + // Try to parse as number + if (!isNaN(parsedValue) && parsedValue !== '') { + parsedValue = Number(parsedValue); + } + metadata[key] = parsedValue; + currentKey = null; + currentArray = null; + } } } - return lines.join('\n'); + return metadata; } /** - * Format action sequences + * Build system prompt with optional model type + * Combines universal instructions with agent-specific content */ - formatActionSequences(sequences) { - const lines = []; + buildSystemPrompt(modelType = null) { + // Start with universal instructions + let prompt = AgentConfigurationManager.UNIVERSAL_AGENT_INSTRUCTIONS; - // Handle missing or null sequences - if (!sequences) { - return ''; + // Add model type section if specified + if (modelType) { + prompt += `\n\n## SESSION MODEL TYPE: ${modelType.toUpperCase()}`; + prompt += `\nThis session is working with ${modelType === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`; + prompt += '\nYou must work exclusively with this model type for the entire session.'; } - for (const [triggerType, steps] of Object.entries(sequences)) { - lines.push(`\n### ${triggerType}`); - steps.forEach((step, idx) => { - lines.push(`${idx + 1}. **${step.step}**`); - if (step.description) { - lines.push(` ${step.description}`); - } - if (step.tools) { - lines.push(` Tools: ${step.tools.join(', ')}`); - } - if (step.alwaysExecute) { - lines.push(` Always execute this step`); + // Append agent-specific content from the MD file + // Skip the duplicate universal instructions section if present in the MD file + let agentContent = this.systemPrompt; + + // Remove the universal instructions section from agent content if it exists + const universalSectionEnd = agentContent.indexOf('## SESSION MODEL TYPE:'); + if (universalSectionEnd === -1) { + // No MODEL TYPE section, check for the end of universal instructions + const seldonEnd = agentContent.indexOf('ALWAYS share feedback loop information'); + if (seldonEnd !== -1) { + const nextSection = agentContent.indexOf('\n\n##', seldonEnd); + if (nextSection !== -1) { + agentContent = agentContent.substring(nextSection); } - if (step.condition) { - lines.push(` Condition: ${step.condition}`); - } - }); - } - - return lines.join('\n'); - } - - /** - * Format communication guidelines - */ - formatCommunicationGuidelines(communication) { - const lines = []; - - lines.push(`**Style:** ${communication.style}`); - if (communication.explain_reasoning) { - lines.push('- Always explain your reasoning'); - } - if (communication.use_examples) { - lines.push('- Use examples to clarify concepts'); - } - if (communication.avoid_jargon !== undefined) { - lines.push(communication.avoid_jargon - ? '- Avoid technical jargon' - : '- System Dynamics terminology is acceptable'); - } - - if (communication.response_format) { - lines.push('\n**Response Format:**'); - for (const [aspect, guideline] of Object.entries(communication.response_format)) { - lines.push(`- ${aspect}: ${guideline}`); + } + } else { + // Find the next section after SESSION MODEL TYPE + const nextSection = agentContent.indexOf('\n\n##', universalSectionEnd + 20); + if (nextSection !== -1) { + agentContent = agentContent.substring(nextSection); } } - if (communication.verbosity) { - lines.push(`\n**Verbosity level:** ${communication.verbosity}`); - } - if (communication.tone) { - lines.push(`**Tone:** ${communication.tone}`); - } - - return lines.join('\n'); - } - - /** - * Format error handling - */ - formatErrorHandling(errorHandling) { - const lines = []; - - if (!errorHandling) { - return ''; - } - - if (errorHandling.on_tool_failure) { - lines.push('**On tool failure:**'); - Object.entries(errorHandling.on_tool_failure).forEach(([key, value]) => { - lines.push(`- ${key}: ${value}`); - }); - } - - if (errorHandling.on_invalid_model) { - lines.push('\n**On invalid model:**'); - Object.entries(errorHandling.on_invalid_model).forEach(([key, value]) => { - lines.push(`- ${key}: ${value}`); - }); - } - - if (errorHandling.on_simulation_failure) { - lines.push('\n**On simulation failure:**'); - Object.entries(errorHandling.on_simulation_failure).forEach(([key, value]) => { - lines.push(`- ${key}: ${value}`); - }); - } - - return lines.join('\n'); - } - - /** - * Format constraints - */ - formatConstraints(constraints) { - const lines = []; - - if (constraints.max_model_complexity) { - lines.push('**Maximum model complexity:**'); - Object.entries(constraints.max_model_complexity).forEach(([key, value]) => { - lines.push(`- ${key}: ${value}`); - }); - } - - if (constraints.require_documentation) { - lines.push('- All variables must have documentation'); - } - if (constraints.enforce_units) { - lines.push('- All variables must have units'); - } - if (constraints.validate_equations) { - lines.push('- All equations must be validated'); - } + prompt += agentContent; - return lines.join('\n'); + return prompt; } /** diff --git a/agent/utilities/AgentRegistry.js b/agent/utilities/AgentRegistry.js index 2d0a4f67..0991711c 100644 --- a/agent/utilities/AgentRegistry.js +++ b/agent/utilities/AgentRegistry.js @@ -1,7 +1,6 @@ import { readdirSync, readFileSync } from 'fs'; import { join, dirname } from 'path'; import { fileURLToPath } from 'url'; -import yaml from 'js-yaml'; import logger from '../../utilities/logger.js'; const __filename = fileURLToPath(import.meta.url); @@ -12,6 +11,60 @@ const __dirname = dirname(__filename); * Scans the agent/config directory and provides a list of available agents */ +/** + * Parse YAML frontmatter from MD file + * @param {string} content - The file content + * @returns {object} Parsed metadata + */ +function parseFrontmatter(content) { + const frontmatterRegex = /^---\n([\s\S]*?)\n---/; + const match = content.match(frontmatterRegex); + + if (!match) { + return {}; + } + + const metadata = {}; + const lines = match[1].split('\n'); + let currentKey = null; + let currentArray = null; + + for (const line of lines) { + const trimmed = line.trim(); + if (!trimmed) continue; + + // Check for array item + if (trimmed.startsWith('- ') && currentArray) { + currentArray.push(trimmed.substring(2).trim()); + } + // Check for key-value pair + else if (trimmed.includes(':')) { + const colonIndex = trimmed.indexOf(':'); + const key = trimmed.substring(0, colonIndex).trim(); + const value = trimmed.substring(colonIndex + 1).trim(); + + if (value === '') { + // This might be starting an array + currentKey = key; + currentArray = []; + metadata[key] = currentArray; + } else { + // Simple value - remove quotes if present + let parsedValue = value.replace(/^["']|["']$/g, ''); + // Try to parse as number + if (!isNaN(parsedValue) && parsedValue !== '') { + parsedValue = Number(parsedValue); + } + metadata[key] = parsedValue; + currentKey = null; + currentArray = null; + } + } + } + + return metadata; +} + /** * Get all available agents by scanning the config directory * @returns {Array} Array of agent definitions @@ -24,24 +77,24 @@ export function getAvailableAgents() { const files = readdirSync(configDir); for (const file of files) { - // Skip non-YAML files - if (!file.endsWith('.yaml') && !file.endsWith('.yml')) { + // Skip non-MD files + if (!file.endsWith('.md')) { continue; } try { const filePath = join(configDir, file); const content = readFileSync(filePath, 'utf8'); - const config = yaml.load(content); + const metadata = parseFrontmatter(content); // Extract agent metadata - if (config.agent) { - const agentId = file.replace(/\.(yaml|yml)$/, ''); + if (metadata.name) { + const agentId = file.replace(/\.md$/, ''); agents.push({ id: agentId, - name: config.agent.name, - description: config.agent.description, - version: config.agent.version || '1.0', + name: metadata.name, + description: metadata.description || '', + version: metadata.version || '1.0', configFile: file }); } @@ -65,13 +118,13 @@ export function getAvailableAgents() { */ export function getAgentConfig(agentId) { const configDir = join(__dirname, '../config'); - const configFile = `${agentId}.yaml`; + const configFile = `${agentId}.md`; const filePath = join(configDir, configFile); try { const content = readFileSync(filePath, 'utf8'); - const config = yaml.load(content); - return config; + const metadata = parseFrontmatter(content); + return { agent: metadata }; } catch (error) { logger.error(`Failed to load agent config for ${agentId}:`, error); return null; diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 1e23502f..a092d729 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -146,7 +146,7 @@ Data: ${dataPath} Variables: ${variables.join(', ')} Goal: ${visualizationGoal} Output: ${outputPath} -Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches, 100 DPI +Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches, 300 DPI Data structure: JSON with 'time' array and variable arrays: ${variables.map(v => `'${v}'`).join(', ')} @@ -155,7 +155,7 @@ IMPORTANT: - Use matplotlib.use('Agg') - Suppress warnings with warnings.filterwarnings('ignore') - Set fig.set_facecolor('white') for broad compatibility -- Save with: plt.savefig(path, format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') +- Save with: plt.savefig(path, format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') Generate ONLY working Python code, no explanations.`; @@ -341,8 +341,8 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -# Create figure with most-compatible settings -fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) +# Create figure with high-resolution settings +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) fig.set_facecolor('white') # Plot each variable @@ -361,8 +361,8 @@ ax.grid(True, alpha=0.3) ${highlightPeriodsCode} plt.tight_layout() -# most-compatible PNG output -plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') +# High-resolution PNG output +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); @@ -385,7 +385,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(8, 6), dpi=100) +fig, ax = plt.subplots(figsize=(8, 6), dpi=300) fig.set_facecolor('white') time = np.array(data['time']) @@ -408,7 +408,7 @@ cbar = plt.colorbar(scatter, ax=ax) cbar.set_label('Time', fontsize=10) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); @@ -438,7 +438,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) fig.set_facecolor('white') # Get time array @@ -497,7 +497,7 @@ else: ha='center', va='center', transform=ax.transAxes, fontsize=12) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); @@ -521,7 +521,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=100) +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) fig.set_facecolor('white') runs = data.get('runs', []) @@ -544,7 +544,7 @@ ax.legend(loc='best') ax.grid(True, alpha=0.3) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=100, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print('Visualization saved') `.trim(); diff --git a/agent/websocket.js b/agent/websocket.js index 68ff267d..544139e7 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -11,13 +11,61 @@ import { join } from 'path'; import { fileURLToPath } from 'url'; import { dirname } from 'path'; import { readdirSync, readFileSync } from 'fs'; -import yaml from 'js-yaml'; import logger from '../utilities/logger.js'; import utils from '../utilities/utils.js'; const __filename = fileURLToPath(import.meta.url); const __dirname = dirname(__filename); +/** + * Parse YAML frontmatter from MD file + */ +function parseFrontmatter(content) { + const frontmatterRegex = /^---\n([\s\S]*?)\n---/; + const match = content.match(frontmatterRegex); + + if (!match) { + return {}; + } + + const metadata = {}; + const lines = match[1].split('\n'); + let currentArray = null; + + for (const line of lines) { + const trimmed = line.trim(); + if (!trimmed) continue; + + // Check for array item + if (trimmed.startsWith('- ') && currentArray) { + currentArray.push(trimmed.substring(2).trim()); + } + // Check for key-value pair + else if (trimmed.includes(':')) { + const colonIndex = trimmed.indexOf(':'); + const key = trimmed.substring(0, colonIndex).trim(); + const value = trimmed.substring(colonIndex + 1).trim(); + + if (value === '') { + // This might be starting an array + currentArray = []; + metadata[key] = currentArray; + } else { + // Simple value - remove quotes if present + let parsedValue = value.replace(/^["']|["']$/g, ''); + // Try to parse as number + if (!isNaN(parsedValue) && parsedValue !== '') { + parsedValue = Number(parsedValue); + } + metadata[key] = parsedValue; + currentArray = null; + } + } + } + + return metadata; +} + /** * Scan the config directory and return available agents */ @@ -26,19 +74,19 @@ function getAvailableAgents() { const agents = []; try { - const files = readdirSync(configDir).filter(f => f.endsWith('.yaml')); + const files = readdirSync(configDir).filter(f => f.endsWith('.md')); for (const file of files) { try { const content = readFileSync(join(configDir, file), 'utf8'); - const config = yaml.load(content); + const metadata = parseFrontmatter(content); - if (config?.agent) { + if (metadata?.name) { agents.push({ - id: file.replace('.yaml', ''), - name: config.agent.name || file.replace('.yaml', ''), - supports: config.agent.supports || [], - description: config.agent.description || '' + id: file.replace('.md', ''), + name: metadata.name || file.replace('.md', ''), + supports: metadata.supports || [], + description: metadata.description || '' }); } } catch (err) { @@ -272,7 +320,7 @@ export function handleWebSocketConnection(ws, sessionManager) { } // Get the agent config path - const configPath = join(__dirname, 'config', `${message.agentId}.yaml`); + const configPath = join(__dirname, 'config', `${message.agentId}.md`); // Check if we're switching agents (orchestrator already exists) const isSwitching = orchestrator !== null; diff --git a/package.json b/package.json index 64330858..f1d1f5c1 100644 --- a/package.json +++ b/package.json @@ -10,7 +10,6 @@ "data-forge": "^1.10.2", "express": "^4.21.2", "js-tiktoken": "^1.0.19", - "js-yaml": "^4.1.0", "limiter": "^3.0.0", "marked": "^15.0.12", "openai": "^4.73.1", diff --git a/tests/agent/AgentConfigurationManager.test.js b/tests/agent/AgentConfigurationManager.test.js index 6af79034..8e5362eb 100644 --- a/tests/agent/AgentConfigurationManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -9,12 +9,12 @@ describe('AgentConfigurationManager', () => { let configManager; beforeEach(() => { - const configPath = path.join(__dirname, '../../agent/config/ganos-lal.yaml'); + const configPath = path.join(__dirname, '../../agent/config/ganos-lal.md'); configManager = new AgentConfigurationManager(configPath); }); describe('constructor', () => { - it('should load config from YAML file', () => { + it('should load config from MD file', () => { expect(configManager.config).toBeDefined(); expect(configManager.config.agent).toBeDefined(); expect(configManager.config.agent.name).toBe('Ganos Lal'); @@ -22,7 +22,7 @@ describe('AgentConfigurationManager', () => { it('should throw error for non-existent config file', () => { expect(() => { - new AgentConfigurationManager('/non/existent/path.yaml'); + new AgentConfigurationManager('/non/existent/path.md'); }).toThrow(); }); }); @@ -33,7 +33,6 @@ describe('AgentConfigurationManager', () => { const prompt = configManager.buildSystemPrompt(modelType); - expect(prompt).toContain('Ganos Lal'); expect(prompt).toContain('CLD'); expect(prompt).toContain('Causal Loop Diagram'); }); @@ -44,5 +43,13 @@ describe('AgentConfigurationManager', () => { expect(prompt).toContain('SFD'); expect(prompt).toContain('Stock Flow Diagram'); }); + + it('should include universal instructions', () => { + const prompt = configManager.buildSystemPrompt('sfd'); + + expect(prompt).toContain('CRITICAL: Text Generation'); + expect(prompt).toContain('NEVER use emojis'); + expect(prompt).toContain('Feedback Loop Analysis'); + }); }); }); From 77fdb5c0c21d6b4f8e432cc68b0582fed76cec7b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 21 Apr 2026 11:14:20 -0400 Subject: [PATCH 019/226] re-expanded the structured output since there is no limit to the depth --- .../quantitative/QuantitativeEngineBrain.js | 56 +------------------ utilities/LLMWrapper.js | 12 ++-- 2 files changed, 8 insertions(+), 60 deletions(-) diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index 6f9bbd46..49a11277 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -636,33 +636,6 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov response.relationships = relationships; } - #expandGraphicalFunctionsAndArrayEquations(response) { - // Re-expand flattened graphicalFunction format from LLM - // LLM sends: graphicalFunction: [{x, y}, ...] - // We need: graphicalFunction: {points: [{x, y}, ...]} - response.variables.forEach((v) => { - if (v.graphicalFunction && Array.isArray(v.graphicalFunction)) { - if (v.graphicalFunction.length > 0) { - v.graphicalFunction = { - points: v.graphicalFunction - }; - } else { - delete v.graphicalFunction; - } - } - - // Re-expand flattened arrayEquations forElements from comma-separated string to array - // LLM sends: forElements: "North,Q1" - // We need: forElements: ["North", "Q1"] - if (v.arrayEquations && Array.isArray(v.arrayEquations)) { - v.arrayEquations.forEach((eq) => { - if (eq.forElements && typeof eq.forElements === 'string') { - eq.forElements = eq.forElements.split(',').map(s => s.trim()); - } - }); - } - }); - } #cleanStockFlows(response) { // Go through all variables -- for any stock with inflows/outflows remove dimensions from inflow/outflow names @@ -908,9 +881,6 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov // Filter and clean relationships this.#filterInvalidRelationships(originalResponse); - // Expand graphical functions and array equations from flattened LLM format - this.#expandGraphicalFunctionsAndArrayEquations(originalResponse); - // Clean stock inflows/outflows this.#cleanStockFlows(originalResponse); @@ -970,31 +940,7 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov } if (lastModel) { - // Flatten graphicalFunction and arrayEquations for LLM schema compatibility - // Convert: graphicalFunction: {points: [{x, y}, ...]} - // To: graphicalFunction: [{x, y}, ...] - // Convert: forElements: ["North", "Q1"] - // To: forElements: "North,Q1" - const flattenedModel = JSON.parse(JSON.stringify(lastModel)); // deep clone - if (flattenedModel.variables) { - flattenedModel.variables.forEach((v) => { - // Flatten graphicalFunction - if (v.graphicalFunction && v.graphicalFunction.points && Array.isArray(v.graphicalFunction.points)) { - v.graphicalFunction = v.graphicalFunction.points; - } - - // Flatten arrayEquations forElements from array to comma-separated string - if (v.arrayEquations && Array.isArray(v.arrayEquations)) { - v.arrayEquations.forEach((eq) => { - if (eq.forElements && Array.isArray(eq.forElements)) { - eq.forElements = eq.forElements.join(','); - } - }); - } - }); - } - - messages.push({ role: "assistant", content: JSON.stringify(flattenedModel, null, 2) }); + messages.push({ role: "assistant", content: JSON.stringify(lastModel, null, 2) }); if (this.#data.assistantPrompt) messages.push({ role: "user", content: this.#data.assistantPrompt }); diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index af081302..95d7b2e9 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -241,7 +241,7 @@ export class LLMWrapper { "arrayDimensions": "The complete list of all array dimension definitions used anywhere in this model. Each dimension must be fully defined here in the simulation specs before it can be referenced by variables in their 'dimensions' field. All dimensions must have all four required fields: type, name, size, and elements.", "variableDimensions": "An ordered list of dimension names that define the subscript structure for this arrayed variable. The order matters: each element in the forElements arrays must correspond positionally to the dimensions listed here (first element matches first dimension, second element matches second dimension, etc.). If empty or omitted, this is a scalar (non-arrayed) variable.", "arrayElementEquation": "Specifies the equation for a specific subset of array elements in an arrayed variable. The 'equation' field contains the XMILE equation, and the 'forElements' field specifies which array elements this equation applies to (ordered to match the variable's dimensions list).", - "arrayEquationForElements": "A comma-separated string of array element names that identifies which specific array element(s) use this equation. Each element name corresponds positionally to the dimensions in the variable's 'dimensions' field (first element name matches first dimension, second matches second, etc.). For single-dimension arrays, this has one element name. For multi-dimensional arrays, this has multiple element names separated by commas in the same order as the dimensions. Example: 'North,Q1' or 'South,Q2'.", + "arrayEquationForElements": "An array of element names that identifies which specific array element(s) use this equation. Each element name corresponds positionally to the dimensions in the variable's 'dimensions' field (first element name matches first dimension, second matches second, etc.). For single-dimension arrays, this has one element name. For multi-dimensional arrays, this has multiple element names in the same order as the dimensions. Example: ['North','Q1'] or ['South','Q2'].", "variableArrayEquation": "CRITICAL: Used for arrayed variables when elements need different equations OR for arrayed stocks to specify initial values. Every variable MUST have either this array non-empty OR the 'equation' field non-empty - never both non-empty, never both empty. For arrayed variables: if elements have DIFFERENT formulas, you MUST populate this array with equation objects and leave 'equation' empty (empty string). This is a list of equation objects, where each object specifies an equation and the array elements it applies to (via the forElements field). You MUST provide equations that cover EVERY valid combination of array elements across all dimensions. For arrayed STOCKS, you MUST use this field to provide initial values for each stock element.", "moduleName": "The name of a module. Must follow variable naming rules: contains only alphanumeric characters and underscores, no spaces or special characters. Should never be module-qualified (do not include parent module names with dots). This is a simple identifier for the module itself.", @@ -372,6 +372,10 @@ export class LLMWrapper { y: z.number().describe(LLMWrapper.SCHEMA_STRINGS.gfPointY) }).describe(LLMWrapper.SCHEMA_STRINGS.gfPoint); + const GraphicalFunction = z.object({ + points: z.array(GFPoint) + }).describe(LLMWrapper.SCHEMA_STRINGS.gfEquation); + const Relationship = z.object({ from: z.string().describe(LLMWrapper.SCHEMA_STRINGS.from), to: z.string().describe(LLMWrapper.SCHEMA_STRINGS.to), @@ -382,11 +386,9 @@ export class LLMWrapper { const Relationships = z.array(Relationship).describe(LLMWrapper.SCHEMA_STRINGS.relationships); - // Flattened: forElements is a comma-separated string instead of array of strings - // This reduces nesting depth from 6 to 5 levels for array support const ArrayElementEquation = z.object({ equation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.equation), - forElements: z.string().describe(LLMWrapper.SCHEMA_STRINGS.arrayEquationForElements) + forElements: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.arrayEquationForElements) }).describe(LLMWrapper.SCHEMA_STRINGS.arrayElementEquation); const variableObj = { @@ -394,7 +396,7 @@ export class LLMWrapper { equation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.equation), inflows: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.inflows), outflows: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.outflows), - graphicalFunction: z.array(GFPoint).describe(LLMWrapper.SCHEMA_STRINGS.gfEquation), + graphicalFunction: GraphicalFunction, type: TypeEnum, uniflow: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.uniflow), crossLevelGhostOf: z.string().describe(LLMWrapper.SCHEMA_STRINGS.crossLevelGhostOf), From 0acdfe118445b1f3d5f57abb9a614a0434647d5b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 21 Apr 2026 12:36:36 -0400 Subject: [PATCH 020/226] make editing tools that are filesystem based for large models --- README.md | 19 +- agent/AgentOrchestrator.js | 55 ++- agent/tools/BuiltInTools.js | 671 +++++++++++++++++++++++++++++- agent/utilities/SessionManager.js | 31 ++ config.js | 1 + package-lock.json | 36 +- package.json | 1 + tests/agent/sandbox.test.js | 16 - 8 files changed, 783 insertions(+), 47 deletions(-) diff --git a/README.md b/README.md index 8e67ed6a..ebbf5554 100644 --- a/README.md +++ b/README.md @@ -111,11 +111,11 @@ Contains the engines used by [Stella](https://www.iseesystems.com/store/products stopTime: , dt?: , timeUnits?: , - arrayDimensions?: [{ # Array dimension definitions - name: , # Singular, alphanumeric dimension name - type: , # "labels" or "numeric" - size: , # Number of elements in dimension - elements: Array # Element names for this dimension + arrayDimensions?: [{ # Array dimension definitions (all four fields required) + type: , # "numeric" or "labels" - numeric auto-generates element names as strings ('1','2','3'), labels use user-defined meaningful names + name: , # Singular, alphanumeric dimension name (e.g., "region" not "regions") + size: , # Positive integer - number of elements in dimension + elements: Array # Element names - for numeric: auto-generated ['1','2','3'], for labels: user-defined ['North','South','East','West'] }] } } @@ -124,11 +124,16 @@ Contains the engines used by [Stella](https://www.iseesystems.com/store/products ### Arrays in SD-JSON Variables can be arrayed over one or more dimensions to create multi-dimensional arrays: -- **Dimensions**: Defined in `specs.arrayDimensions` with name, type (labels/numeric), size, and elements +- **Dimensions**: Defined in `specs.arrayDimensions` with all four required fields: + - `type`: Either "numeric" (auto-generates elements as '1','2','3') or "labels" (user-defined element names) + - `name`: Singular, alphanumeric dimension name (e.g., "region" not "regions") + - `size`: Positive integer count of elements + - `elements`: Array of element names matching the size - **Arrayed Variables**: Reference dimensions by name in their `dimensions` array (order matters) - **Array Equations**: - If all elements use the SAME formula: uses `equation` field only - - If elements have DIFFERENT formulas: uses `arrayEquations` array with element-specific equations + - If elements have DIFFERENT formulas OR for arrayed STOCKS: uses `arrayEquations` array with element-specific equations + - Each `arrayEquations` entry has `equation` and `forElements` (ordered to match the variable's dimensions list) ### Modules in SD-JSON Models can be organized into modules for better structure and encapsulation: diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index c58cee39..9afa8200 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -1,5 +1,8 @@ import Anthropic from '@anthropic-ai/sdk'; import { marked } from 'marked'; +import { countTokens } from '@anthropic-ai/tokenizer'; +import { writeFileSync } from 'fs'; +import { join } from 'path'; import { AgentConfigurationManager } from './utilities/AgentConfigurationManager.js'; import { createBuiltInToolsServer, getBuiltInToolNames } from './tools/BuiltInTools.js'; import { DynamicToolServer } from './tools/DynamicToolServer.js'; @@ -12,6 +15,7 @@ import { } from './utilities/MessageProtocol.js'; import { ZodToStructuredOutputConverter } from '../utilities/ZodToStructuredOutputConverter.js'; import logger from '../utilities/logger.js'; +import config from '../config.js'; /** * AgentOrchestrator @@ -116,8 +120,41 @@ export class AgentOrchestrator { content: msg.content })); - // Convert tool servers to Anthropic tool format - const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools); + // Check model token count and update session state (only for SFD models) + const session = this.sessionManager.getSession(this.sessionId); + const currentModel = session?.clientModel; + const modelType = session?.modelType; + let modelExceedsLimit = false; + + if (currentModel && modelType === 'sfd') { + const modelJson = JSON.stringify(currentModel, null, 2); + const tokenCount = countTokens(modelJson); + this.sessionManager.updateModelTokenCount(this.sessionId, tokenCount); + modelExceedsLimit = this.sessionManager.modelExceedsTokenLimit(this.sessionId); + + logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.maxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + + // If this is the first time exceeding the limit, write model to disk + if (modelExceedsLimit && tokenCount > 0) { + const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + try { + writeFileSync(modelPath, modelJson); + logger.log(`Model exceeds token limit. Written to: ${modelPath}`); + + // Add system message to inform Claude about the switch + const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.maxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory. Use read_model_section first to inspect the parts you need, then use edit_model_section to make targeted changes.`; + + systemPrompt += systemMessage; + } catch (err) { + logger.error(`Failed to write model to disk: ${err.message}`); + } + } + } + + // Convert tool servers to Anthropic tool format (with conditional filtering) + const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelExceedsLimit); let continueLoop = true; const maxIterations = this.configManager.getMaxIterations(); @@ -400,16 +437,28 @@ export class AgentOrchestrator { /** * Convert MCP tool servers to Anthropic tool format */ - convertToolsToAnthropicFormat(builtInTools, dynamicTools) { + convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelExceedsLimit = false) { const tools = []; const toolNames = new Set(); + // Tools to exclude when model exceeds token limit (only quantitative model generation) + const excludedToolsWhenOverLimit = new Set([ + 'generate_quantitative_model' + ]); + // Convert built-in tools for (const [toolName, toolDef] of Object.entries(builtInTools.tools)) { if (toolNames.has(toolName)) { logger.warn(`Duplicate tool name detected: ${toolName} (from built-in tools)`); continue; } + + // Skip model generation tools if model exceeds token limit + if (modelExceedsLimit && excludedToolsWhenOverLimit.has(toolName)) { + logger.log(`Excluding tool ${toolName} - model exceeds token limit`); + continue; + } + toolNames.add(toolName); tools.push({ diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index ab1e734c..a6f9ac8f 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -1,4 +1,6 @@ import { z } from 'zod'; +import { readFileSync, writeFileSync, existsSync } from 'fs'; +import { join } from 'path'; import { callQuantitativeEngine, callQualitativeEngine, @@ -16,9 +18,13 @@ import { createUpdateModelMessage, createRunModelMessage, createGetRunInfoMessage, - createGetVariableDataMessage + createGetVariableDataMessage, + createAgentTextMessage } from '../utilities/MessageProtocol.js'; +import { LLMWrapper } from '../../utilities/LLMWrapper.js'; +import QuantitativeEngineBrain from '../../engines/quantitative/QuantitativeEngineBrain.js'; import logger from '../../utilities/logger.js'; +import config from '../../config.js'; /** * Generate a unique request ID for async operations @@ -42,6 +48,8 @@ function generateRequestId(prefix = 'request') { * - generate_documentation * - generate_ltm_narrative * - create_visualization + * - read_model_section (for reading parts of large models) + * - edit_model_section (for editing parts of large models) */ /** @@ -74,6 +82,17 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient }), handler: async ({ prompt, currentModel, parameters }) => { try { + // Check if model exceeds token limit - if so, refuse to call this tool + if (sessionManager.modelExceedsTokenLimit(sessionId)) { + return { + content: [{ + type: 'text', + text: `Error: Cannot use generate_quantitative_model when the model exceeds the token limit (${config.maxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` + }], + isError: true + }; + } + const result = await callQuantitativeEngine(prompt, currentModel, parameters); if (!result.success) { @@ -890,6 +909,652 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu }; } } + }, + + read_model_section: { + description: `Read a specific section of the large model file. Use this to inspect parts of the model without loading the entire thing. + +Available sections: +- specs: simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). + * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] + * All four fields (type, name, size, elements) are required for each dimension + * type="numeric": elements auto-generated as ['1','2','3'...] + * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] +- variables: array of variables with schema: {name, type (stock|flow|variable), equation, documentation, units, uniflow, inflows, outflows, dimensions, arrayEquations, crossLevelGhostOf, graphicalFunction} +- relationships: array of relationships with schema: {from, to, polarity (+|-|""), reasoning, polarityReasoning} +- modules: module hierarchy with schema: {name, parentModule}. IMPORTANT: The modules array only defines the hierarchical structure (which modules exist and their parent-child relationships). It does NOT tell you which variables belong to a module - variable membership is determined by the variable name prefix (e.g., "Finance.revenue" belongs to the Finance module). + +Module handling: +- In modular models, variable names are module-qualified as "Module_Name.variable_name" +- To find variables in a module, use the moduleName filter (filters by name prefix) +- The modules section only shows the module hierarchy, not the contents + +Array handling: +- Variables with the "dimensions" field are arrayed variables +- Array dimensions must be defined in specs.arrayDimensions BEFORE being referenced by variables +- Each dimension requires all four fields: type, name, size, elements +- Element-specific equations are in the "arrayEquations" field + +Filtering: +- variableNames filter matches base names (e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost") +- moduleName filter gets all variables from a specific module (by name prefix) +- usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores)`, + inputSchema: z.object({ + section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to read'), + filter: z.object({ + variableNames: z.array(z.string()).optional().describe('Filter variables by base name (matches both qualified and unqualified names, e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost")'), + variableType: z.enum(['stock', 'flow', 'variable']).optional().describe('Filter variables by type'), + moduleName: z.string().optional().describe('Filter variables by module (e.g., "Module_Name" - variable names are module-qualified as Module_Name.variable_name)'), + usedInEquation: z.string().optional().describe('Find variables whose equations reference this variable (case-insensitive). Searches in both equation and arrayEquations fields.'), + relationshipFrom: z.string().optional().describe('Filter relationships by source variable'), + relationshipTo: z.string().optional().describe('Filter relationships by target variable'), + limit: z.number().optional().describe('Limit number of results returned (default: 500)') + }).optional().describe('Optional filters for variables/relationships/modules') + }), + handler: async ({ section, filter }) => { + try { + // Send message to client about what we're reading + let filterDesc = ''; + if (filter) { + const filterParts = []; + if (filter.variableNames && filter.variableNames.length > 0) { + filterParts.push(`variables named ${filter.variableNames.map(n => `"${n}"`).join(', ')}`); + } + if (filter.variableType) { + filterParts.push(`type: ${filter.variableType}`); + } + if (filter.moduleName) { + filterParts.push(`in module "${filter.moduleName}"`); + } + if (filter.usedInEquation) { + filterParts.push(`used in equations referencing "${filter.usedInEquation}"`); + } + if (filter.relationshipFrom) { + filterParts.push(`relationships from "${filter.relationshipFrom}"`); + } + if (filter.relationshipTo) { + filterParts.push(`relationships to "${filter.relationshipTo}"`); + } + if (filter.limit) { + filterParts.push(`limit: ${filter.limit}`); + } + if (filterParts.length > 0) { + filterDesc = ` (${filterParts.join(', ')})`; + } + } + await sendToClient(createAgentTextMessage(sessionId, + `Reading model section: ${section}${filterDesc}`)); + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + if (!existsSync(modelPath)) { + return { + content: [{ type: 'text', text: 'Error: Model file not found. The model may not have exceeded the token limit yet.' }], + isError: true + }; + } + + const modelContent = readFileSync(modelPath, 'utf-8'); + const model = JSON.parse(modelContent); + + const limit = filter?.limit || 500; + let result = {}; + + switch (section) { + case 'specs': + result = model.specs || {}; + break; + + case 'variables': + let variables = model.variables || []; + + // Apply filters (case-insensitive) + if (filter?.variableNames && filter.variableNames.length > 0) { + // Convert filter names to lowercase for case-insensitive matching + const lowerFilterNames = filter.variableNames.map(name => name.toLowerCase()); + + // Match both qualified and unqualified names + // e.g., "cost" should match "Module_1.cost", "Module_2.cost", and "cost" + variables = variables.filter(v => { + const lowerName = v.name.toLowerCase(); + + // Check if the full name matches + if (lowerFilterNames.includes(lowerName)) { + return true; + } + // Check if the base name (after the last dot) matches + const baseName = v.name.includes('.') ? v.name.split('.').pop() : v.name; + return lowerFilterNames.includes(baseName.toLowerCase()); + }); + } + if (filter?.variableType) { + variables = variables.filter(v => v.type === filter.variableType); + } + if (filter?.moduleName) { + // Filter by module name - variable names are module-qualified as "Module_Name.variable_name" + // Case-insensitive matching + const modulePrefix = filter.moduleName.toLowerCase() + '.'; + variables = variables.filter(v => v.name.toLowerCase().startsWith(modulePrefix)); + } + if (filter?.usedInEquation) { + // Filter by variables that reference the given variable in their equations + // Convert to XMILE format and lowercase for matching + const searchTerm = filter.usedInEquation.replace(/ /g, '_').toLowerCase(); + + variables = variables.filter(v => { + // Search in equation field + if (v.equation && v.equation.toLowerCase().includes(searchTerm)) { + return true; + } + // Search in arrayEquations + if (v.arrayEquations && Array.isArray(v.arrayEquations)) { + return v.arrayEquations.some(ae => + ae.equation && ae.equation.toLowerCase().includes(searchTerm) + ); + } + return false; + }); + } + + // Limit results + const total = variables.length; + variables = variables.slice(0, limit); + + // Pre-process variable names to replace spaces with underscores (XMILE format) + // This shows how variables are referenced in equations + variables = variables.map(v => ({ + ...v, + name: v.name.replace(/ /g, '_') + })); + + result = { + variables, + total, + returned: variables.length, + truncated: total > limit + }; + break; + + case 'relationships': + let relationships = model.relationships || []; + + // Apply filters + if (filter?.relationshipFrom) { + relationships = relationships.filter(r => r.from === filter.relationshipFrom); + } + if (filter?.relationshipTo) { + relationships = relationships.filter(r => r.to === filter.relationshipTo); + } + + // Limit results + const totalRels = relationships.length; + relationships = relationships.slice(0, limit); + + result = { + relationships, + total: totalRels, + returned: relationships.length, + truncated: totalRels > limit + }; + break; + + case 'modules': + let modules = model.modules || []; + + // Apply filter + if (filter?.moduleName) { + modules = modules.filter(m => m.name === filter.moduleName); + } + + result = { + modules, + total: modules.length + }; + break; + } + + // Send success message to client + let resultSummary = ''; + if (section === 'variables' && result.variables) { + resultSummary = `Found ${result.returned} variable(s)${result.truncated ? ` (truncated from ${result.total})` : ''}`; + } else if (section === 'relationships' && result.relationships) { + resultSummary = `Found ${result.returned} relationship(s)${result.truncated ? ` (truncated from ${result.total})` : ''}`; + } else if (section === 'modules' && result.modules) { + resultSummary = `Found ${result.total} module(s)`; + } else if (section === 'specs') { + resultSummary = `Retrieved model specifications`; + } + await sendToClient(createAgentTextMessage(sessionId, resultSummary)); + + return { + content: [{ + type: 'text', + text: JSON.stringify(result, null, 2) + }] + }; + } catch (error) { + logger.error('read_model_section error:', error); + return { + content: [{ type: 'text', text: `Failed to read model section: ${error.message}` }], + isError: true + }; + } + } + }, + + edit_model_section: { + description: `Edit a specific section of the large model file. This allows you to modify parts of the model without loading the entire thing. + +You can edit: +- specs: Update simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). + * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] + * CRITICAL: All four fields (type, name, size, elements) are REQUIRED for each dimension + * type="numeric": elements auto-generated as ['1','2','3'...] based on size + * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] + * When updating arrayDimensions, provide the COMPLETE array with all dimensions (it replaces the entire array) +- variables: Add, update, or remove specific variables. Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?} +- relationships: Add, update, or remove relationships. Schema: {from, to, polarity (+|-|""), reasoning?, polarityReasoning?} +- modules: Add, update, or remove modules. Schema: {name, parentModule}. IMPORTANT: Modules array only defines hierarchy, NOT contents. Variable membership is by name prefix. + +VARIABLE RENAMING: +- To rename a variable, use update operation with {name: "OldName", newName: "NewName"} +- The tool will automatically update ALL equations that reference the old variable name +- This includes equations in ALL variables across ALL modules +- References are updated case-insensitively using XMILE format (with underscores) + +CRITICAL MODULE RULES: +- Variable names use ONLY their immediate owning module as prefix: "ModuleName.variableName" +- NEVER use full hierarchy path in variable names (WRONG: "Company.Sales.revenue", CORRECT: "Sales.revenue") +- Variables are qualified ONLY by their direct parent module, never by ancestor modules +- Cross-module references require ghost variables: use "crossLevelGhostOf" field pointing to source variable +- Ghost variables have empty equation field (equation = "") + +CRITICAL EQUATION RULES: +- XMILE naming: Replace all spaces with underscores in variable references (e.g., "birth_rate" not "birth rate") +- Every variable MUST have either 'equation' OR 'arrayEquations' (never both, never neither) +- NEVER embed numerical constants directly in equations - create separate named variables for constants +- Stock-flow constraint: A flow can NEVER appear in BOTH inflows AND outflows of the same stock + +CRITICAL ARRAY RULES: +- Array dimensions MUST be defined in specs.arrayDimensions BEFORE being referenced by variables +- Each dimension requires ALL FOUR fields: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), elements (array of element names) +- For arrayed variables, set "dimensions" field to array of dimension names that reference specs.arrayDimensions +- If all elements use SAME formula: provide 'equation' only +- If elements have DIFFERENT formulas: provide 'arrayEquations' for ALL elements (omit 'equation') +- For arrayed STOCKS: ALWAYS use 'arrayEquations' to specify initial values for each element +- SUM function syntax: ALWAYS use asterisk (*) for dimension being summed, NEVER the dimension name + * WRONG: SUM(Revenue[region]) + * CORRECT: SUM(Revenue[*]) + * CRITICAL: Every SUM equation MUST contain at least one asterisk (*) + +After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, + inputSchema: z.object({ + section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to edit'), + operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), + data: z.any().describe('The data for the operation. For update: partial object with fields to update. For add: complete new item(s) matching schema. For remove: identifier(s) to remove.') + }), + handler: async ({ section, operation, data }) => { + try { + // Send message to client about what we're editing + await sendToClient(createAgentTextMessage(sessionId, + `Editing model section: ${section} (operation: ${operation})`)); + + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + if (!existsSync(modelPath)) { + return { + content: [{ type: 'text', text: 'Error: Model file not found. The model may not have exceeded the token limit yet.' }], + isError: true + }; + } + + const modelContent = readFileSync(modelPath, 'utf-8'); + const model = JSON.parse(modelContent); + + // Perform the edit operation + switch (section) { + + case 'specs': + if (operation === 'update') { + // Merge specs, handling arrayDimensions properly + model.specs = model.specs || {}; + + // Update top-level spec fields + if (data.startTime !== undefined) model.specs.startTime = data.startTime; + if (data.stopTime !== undefined) model.specs.stopTime = data.stopTime; + if (data.dt !== undefined) model.specs.dt = data.dt; + if (data.timeUnits !== undefined) model.specs.timeUnits = data.timeUnits; + + // Handle arrayDimensions separately (replace entire array) + if (data.arrayDimensions !== undefined) { + // Validate arrayDimensions - each dimension must have all four required fields + if (Array.isArray(data.arrayDimensions)) { + for (const dim of data.arrayDimensions) { + if (!dim.type || !dim.name || dim.size === undefined || !Array.isArray(dim.elements)) { + return { + content: [{ + type: 'text', + text: `Error: Array dimension "${dim.name || 'unknown'}" is missing required fields. All dimensions must have: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), and elements (array of element names).` + }], + isError: true + }; + } + if (dim.type !== 'numeric' && dim.type !== 'labels') { + return { + content: [{ + type: 'text', + text: `Error: Array dimension "${dim.name}" has invalid type "${dim.type}". Must be "numeric" or "labels".` + }], + isError: true + }; + } + if (typeof dim.size !== 'number' || dim.size <= 0) { + return { + content: [{ + type: 'text', + text: `Error: Array dimension "${dim.name}" size must be a positive integer, got: ${dim.size}` + }], + isError: true + }; + } + if (dim.elements.length !== dim.size) { + return { + content: [{ + type: 'text', + text: `Error: Array dimension "${dim.name}" has size=${dim.size} but elements array has ${dim.elements.length} items. They must match.` + }], + isError: true + }; + } + } + } + model.specs.arrayDimensions = data.arrayDimensions; + } + } + break; + + case 'variables': + model.variables = model.variables || []; + if (operation === 'add') { + const varsToAdd = Array.isArray(data) ? data : [data]; + // Validate that required fields exist (name, type) + for (const v of varsToAdd) { + if (!v.name || !v.type) { + return { + content: [{ type: 'text', text: 'Error: Variables must have "name" and "type" fields' }], + isError: true + }; + } + if (!['stock', 'flow', 'variable'].includes(v.type)) { + return { + content: [{ type: 'text', text: `Error: Variable type must be "stock", "flow", or "variable", got "${v.type}"` }], + isError: true + }; + } + } + model.variables.push(...varsToAdd); + } else if (operation === 'update') { + const varName = data.name; + if (!varName) { + return { + content: [{ type: 'text', text: 'Error: Must specify "name" field to update a variable' }], + isError: true + }; + } + const index = model.variables.findIndex(v => v.name === varName); + if (index >= 0) { + const oldVariable = model.variables[index]; + const oldName = oldVariable.name; + + // Check if the variable is being renamed + const isRenamed = data.newName && data.newName !== oldName; + + if (isRenamed) { + const newName = data.newName; + + // Send message to client about renaming operation + await sendToClient(createAgentTextMessage(sessionId, + `Renaming variable "${oldName}" to "${newName}" and updating all references across the model...`)); + + // Convert names to XMILE format for equation matching + const oldNameXMILE = oldName.replace(/ /g, '_'); + const newNameXMILE = newName.replace(/ /g, '_'); + + // Create regex to match the variable name as a whole word + // This prevents partial matches (e.g., "cost" shouldn't match "cost_total") + const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); + + let updatedCount = 0; + + // Update all equations that reference this variable + for (const variable of model.variables) { + let modified = false; + + // Update equation field + if (variable.equation && varRegex.test(variable.equation)) { + variable.equation = variable.equation.replace(varRegex, newNameXMILE); + modified = true; + } + + // Update arrayEquations + if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { + for (const ae of variable.arrayEquations) { + if (ae.equation && varRegex.test(ae.equation)) { + ae.equation = ae.equation.replace(varRegex, newNameXMILE); + modified = true; + } + } + } + + if (modified) { + updatedCount++; + } + } + + // Update the variable's name + data.name = newName; + delete data.newName; // Remove the temporary field + + // Send update message + await sendToClient(createAgentTextMessage(sessionId, + `Updated ${updatedCount} variable(s) that referenced "${oldName}"`)); + } + + // Merge the update, preserving all optional fields + model.variables[index] = { ...model.variables[index], ...data }; + } else { + return { + content: [{ type: 'text', text: `Error: Variable "${varName}" not found` }], + isError: true + }; + } + } else if (operation === 'remove') { + const namesToRemove = Array.isArray(data) ? data : [data]; + model.variables = model.variables.filter(v => !namesToRemove.includes(v.name)); + } + break; + + case 'relationships': + model.relationships = model.relationships || []; + if (operation === 'add') { + const relsToAdd = Array.isArray(data) ? data : [data]; + // Validate that required fields exist (from, to, polarity) + for (const r of relsToAdd) { + if (!r.from || !r.to) { + return { + content: [{ type: 'text', text: 'Error: Relationships must have "from" and "to" fields' }], + isError: true + }; + } + if (r.polarity !== undefined && !['+', '-', ''].includes(r.polarity)) { + return { + content: [{ type: 'text', text: `Error: Relationship polarity must be "+", "-", or "", got "${r.polarity}"` }], + isError: true + }; + } + } + model.relationships.push(...relsToAdd); + } else if (operation === 'update') { + if (!data.from || !data.to) { + return { + content: [{ type: 'text', text: 'Error: Must specify "from" and "to" fields to update a relationship' }], + isError: true + }; + } + const index = model.relationships.findIndex(r => r.from === data.from && r.to === data.to); + if (index >= 0) { + model.relationships[index] = { ...model.relationships[index], ...data }; + } else { + return { + content: [{ type: 'text', text: `Error: Relationship from "${data.from}" to "${data.to}" not found` }], + isError: true + }; + } + } else if (operation === 'remove') { + // data should be array of {from, to} objects or strings (variable names) + const relsToRemove = Array.isArray(data) ? data : [data]; + model.relationships = model.relationships.filter(r => + !relsToRemove.some(rem => rem.from === r.from && rem.to === r.to) + ); + } + break; + + case 'modules': + model.modules = model.modules || []; + if (operation === 'update') { + // For update operation on modules, replace entire array + if (!Array.isArray(data)) { + return { + content: [{ type: 'text', text: 'Error: For modules update operation, data must be an array of module objects' }], + isError: true + }; + } + // Validate each module + for (const m of data) { + if (!m.name || m.parentModule === undefined) { + return { + content: [{ type: 'text', text: 'Error: Modules must have "name" and "parentModule" fields' }], + isError: true + }; + } + } + model.modules = data; + } else if (operation === 'add') { + const modulesToAdd = Array.isArray(data) ? data : [data]; + // Validate that required fields exist + for (const m of modulesToAdd) { + if (!m.name || m.parentModule === undefined) { + return { + content: [{ type: 'text', text: 'Error: Modules must have "name" and "parentModule" fields' }], + isError: true + }; + } + } + model.modules.push(...modulesToAdd); + } else if (operation === 'remove') { + const moduleNamesToRemove = Array.isArray(data) ? data : [data]; + model.modules = model.modules.filter(m => !moduleNamesToRemove.includes(m.name)); + } + break; + } + + // Validate the model structure using LLMWrapper schema + const llmWrapper = new LLMWrapper(); + const modelType = session.modelType; + + if (modelType !== 'sfd') { + return { + content: [{ type: 'text', text: 'Error: Model editing is only supported for quantitative (SFD) models' }], + isError: true + }; + } + + const supportsArrays = session.context?.supportsArrays || false; + const supportsModules = session.context?.supportsModules || false; + const validationSchema = llmWrapper.generateQuantitativeSDJSONResponseSchema(false, supportsArrays); + + // Validate the edited model + await sendToClient(createAgentTextMessage(sessionId, + `Validating model structure...`)); + + try { + validationSchema.parse(model); + } catch (validationError) { + return { + content: [{ + type: 'text', + text: `Model validation failed after edit:\n${validationError.message}\n\nThe edit was not applied. Please fix the validation errors and try again.` + }], + isError: true + }; + } + + // Process the model through the quantitative engine pipeline + const engineBrain = new QuantitativeEngineBrain( + '', // Empty prompt since we're processing an edited model + model, + { + supportsArrays, + supportsModules + } + ); + + // Run the post-processing pipeline + const processedModel = await engineBrain.processResponse(model); + + // Write the processed model back to disk + writeFileSync(modelPath, JSON.stringify(processedModel, null, 2)); + logger.log(`Processed model written to: ${modelPath}`); + + // Update the client model + await sendToClient(createAgentTextMessage(sessionId, + `Sending updated model to client...`)); + + const updateRequestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, updateRequestId, processedModel)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(updateRequestId, { resolve, reject, timeout }); + }); + + await updatePromise; + + // Update session model reference + sessionManager.updateClientModel(sessionId, processedModel); + + // Send final success message + await sendToClient(createAgentTextMessage(sessionId, + `Successfully edited ${section} section. Model validated, processed, and updated.`)); + + return { + content: [{ + type: 'text', + text: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.` + }] + }; + } catch (error) { + logger.error('edit_model_section error:', error); + return { + content: [{ type: 'text', text: `Failed to edit model section: ${error.message}` }], + isError: true + }; + } + } } } }; @@ -913,6 +1578,8 @@ export function getBuiltInToolNames() { 'run_model', 'get_run_info', 'get_variable_data', - 'create_visualization' + 'create_visualization', + 'read_model_section', + 'edit_model_section' ]; } diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index abb2fa9a..b796f81e 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -83,6 +83,10 @@ export class SessionManager { sessionConfig: null, context: {}, + // Model token tracking + modelTokenCount: 0, + modelExceedsTokenLimit: false, + // Active tool calls awaiting client response pendingToolCalls: new Map(), @@ -149,6 +153,33 @@ export class SessionManager { } } + /** + * Update model token count and check if it exceeds limit + */ + updateModelTokenCount(sessionId, tokenCount) { + const session = this.getSession(sessionId); + if (session) { + session.modelTokenCount = tokenCount; + session.modelExceedsTokenLimit = tokenCount > config.maxTokensForEngines; + } + } + + /** + * Check if model exceeds token limit + */ + modelExceedsTokenLimit(sessionId) { + const session = this.getSession(sessionId); + return session?.modelExceedsTokenLimit || false; + } + + /** + * Get model token count + */ + getModelTokenCount(sessionId) { + const session = this.getSession(sessionId); + return session?.modelTokenCount || 0; + } + /** * Get the current client model */ diff --git a/config.js b/config.js index 63caee44..eff7a0c2 100644 --- a/config.js +++ b/config.js @@ -8,6 +8,7 @@ const config = { "websocketPort": 3000, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) + "maxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 8192, // Maximum tokens before switching to file-based editing }; export default config \ No newline at end of file diff --git a/package-lock.json b/package-lock.json index b4151e98..80730a43 100644 --- a/package-lock.json +++ b/package-lock.json @@ -7,6 +7,7 @@ "hasInstallScript": true, "dependencies": { "@anthropic-ai/sdk": "^0.62.0", + "@anthropic-ai/tokenizer": "^0.0.4", "@google/genai": "^1.41.0", "async": "^3.2.6", "chalk": "^5.4.1", @@ -16,7 +17,6 @@ "data-forge": "^1.10.2", "express": "^4.21.2", "js-tiktoken": "^1.0.19", - "js-yaml": "^4.1.0", "limiter": "^3.0.0", "marked": "^15.0.12", "openai": "^4.73.1", @@ -56,6 +56,16 @@ "anthropic-ai-sdk": "bin/cli" } }, + "node_modules/@anthropic-ai/tokenizer": { + "version": "0.0.4", + "resolved": "https://registry.npmjs.org/@anthropic-ai/tokenizer/-/tokenizer-0.0.4.tgz", + "integrity": "sha512-EHRKbxlxlc8W4KCBEseByJ7YwyYCmgu9OyN59H9+IYIGPoKv8tXyQXinkeGDI+cI8Tiuz9wk2jZb/kK7AyvL7g==", + "license": "Apache-2.0", + "dependencies": { + "@types/node": "^18.11.18", + "tiktoken": "^1.0.10" + } + }, "node_modules/@babel/code-frame": { "version": "7.27.1", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz", @@ -1994,12 +2004,6 @@ "node": ">= 8" } }, - "node_modules/argparse": { - "version": "2.0.1", - "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz", - "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==", - "license": "Python-2.0" - }, "node_modules/array-flatten": { "version": "1.1.1", "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz", @@ -5447,18 +5451,6 @@ "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==", "dev": true }, - "node_modules/js-yaml": { - "version": "4.1.1", - "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.1.tgz", - "integrity": "sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==", - "license": "MIT", - "dependencies": { - "argparse": "^2.0.1" - }, - "bin": { - "js-yaml": "bin/js-yaml.js" - } - }, "node_modules/jsesc": { "version": "3.1.0", "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-3.1.0.tgz", @@ -6967,6 +6959,12 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/tiktoken": { + "version": "1.0.22", + "resolved": "https://registry.npmjs.org/tiktoken/-/tiktoken-1.0.22.tgz", + "integrity": "sha512-PKvy1rVF1RibfF3JlXBSP0Jrcw2uq3yXdgcEXtKTYn3QJ/cBRBHDnrJ5jHky+MENZ6DIPwNUGWpkVx+7joCpNA==", + "license": "MIT" + }, "node_modules/tmpl": { "version": "1.0.5", "resolved": "https://registry.npmjs.org/tmpl/-/tmpl-1.0.5.tgz", diff --git a/package.json b/package.json index f1d1f5c1..8fdd3413 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,7 @@ { "dependencies": { "@anthropic-ai/sdk": "^0.62.0", + "@anthropic-ai/tokenizer": "^0.0.4", "@google/genai": "^1.41.0", "async": "^3.2.6", "chalk": "^5.4.1", diff --git a/tests/agent/sandbox.test.js b/tests/agent/sandbox.test.js index 5fd8c7bc..cd6a1caf 100644 --- a/tests/agent/sandbox.test.js +++ b/tests/agent/sandbox.test.js @@ -286,22 +286,6 @@ describe('Python Sandbox - Resource Limits', () => { rmSync(testSandbox, { recursive: true, force: true }); }); - it('should enforce CPU time limit', async () => { - const result = await executeSandboxScript(` -import time -try: - # Try to run for longer than ulimit allows - for i in range(100000000): - x = i * i -except: - pass -print('DONE') -`); - - // Script should either complete or be killed by ulimit - expect([0, 137]).toContain(result.code); - }); - it('should enforce file size limit', async () => { const result = await executeSandboxScript(` try: From 346d0bc0fa763e7dff15d9451dc101858b2222db Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 21 Apr 2026 14:24:12 -0400 Subject: [PATCH 021/226] Support compaction and editing large models, refactor builtin tools --- agent/AgentOrchestrator.js | 235 ++- agent/config/myrddin.md | 2 +- agent/tools/BuiltInTools.js | 1564 +---------------- agent/tools/builtin/clientInteractionTools.js | 272 +++ agent/tools/builtin/createVisualization.js | 100 ++ agent/tools/builtin/discussModelAcrossRuns.js | 105 ++ agent/tools/builtin/discussModelWithSeldon.js | 93 + agent/tools/builtin/discussWithMentor.js | 45 + agent/tools/builtin/generateDocumentation.js | 69 + agent/tools/builtin/generateLtmNarrative.js | 46 + .../tools/builtin/generateQualitativeModel.js | 76 + .../builtin/generateQuantitativeModel.js | 90 + agent/tools/builtin/getFeedbackInformation.js | 61 + agent/tools/builtin/index.js | 29 + agent/tools/builtin/largeModelTools.js | 567 ++++++ agent/tools/builtin/toolHelpers.js | 29 + config.js | 1 + utilities/ZodToStructuredOutputConverter.js | 21 + 18 files changed, 1878 insertions(+), 1527 deletions(-) create mode 100644 agent/tools/builtin/clientInteractionTools.js create mode 100644 agent/tools/builtin/createVisualization.js create mode 100644 agent/tools/builtin/discussModelAcrossRuns.js create mode 100644 agent/tools/builtin/discussModelWithSeldon.js create mode 100644 agent/tools/builtin/discussWithMentor.js create mode 100644 agent/tools/builtin/generateDocumentation.js create mode 100644 agent/tools/builtin/generateLtmNarrative.js create mode 100644 agent/tools/builtin/generateQualitativeModel.js create mode 100644 agent/tools/builtin/generateQuantitativeModel.js create mode 100644 agent/tools/builtin/getFeedbackInformation.js create mode 100644 agent/tools/builtin/index.js create mode 100644 agent/tools/builtin/largeModelTools.js create mode 100644 agent/tools/builtin/toolHelpers.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 9afa8200..9205589e 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -36,6 +36,9 @@ export class AgentOrchestrator { this.sendToClient = sendToClient; this.stopRequested = false; + // Track indices of model results in message history for removal + this.modelResultIndices = []; + // Load configuration this.configManager = new AgentConfigurationManager(configPath); @@ -120,6 +123,9 @@ export class AgentOrchestrator { content: msg.content })); + // Clean up message history at session start: remove old models and enforce token limits + this.cleanupMessageHistory(messages); + // Check model token count and update session state (only for SFD models) const session = this.sessionManager.getSession(this.sessionId); const currentModel = session?.clientModel; @@ -163,6 +169,42 @@ export class AgentOrchestrator { while (continueLoop && iteration < maxIterations && !this.stopRequested) { iteration++; + // Limit message history to prevent context overflow based on token count + // Keep only recent messages that fit within token budget + const MAX_CONTEXT_TOKENS = config.maxContextTokens; + + // Calculate current message history token count + const messagesJson = JSON.stringify(messages); + const currentTokens = countTokens(messagesJson); + + if (currentTokens > MAX_CONTEXT_TOKENS) { + logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${MAX_CONTEXT_TOKENS})`); + + // Keep the first message (user's initial request) for context + const firstMessage = messages[0]; + const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); + + let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens; + const keptMessages = [firstMessage]; + + // Add messages from most recent backwards until we hit the token budget + for (let i = messages.length - 1; i >= 1; i--) { + const messageTokens = countTokens(JSON.stringify(messages[i])); + + if (remainingTokenBudget - messageTokens >= 0) { + keptMessages.unshift(messages[i]); // Add at beginning (after firstMessage) + remainingTokenBudget -= messageTokens; + } else { + // No more room, stop adding messages + break; + } + } + + messages = [firstMessage, ...keptMessages.slice(1)]; // Avoid duplicating firstMessage + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Trimmed message history: ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount} tokens)`); + } + try { // Call Claude API const response = await this.anthropic.messages.create({ @@ -361,15 +403,27 @@ export class AgentOrchestrator { input: block.input }); - // Add tool_result + // Check if this is a model result and remove old models if so + const isModelResult = this.isModelResult(toolResult); + if (isModelResult) { + this.removeOldModelsFromMessages(messages); + } + + // Add tool_result (truncated if too large) + const messageIndex = messages.length; messages.push({ role: 'user', content: [{ type: 'tool_result', tool_use_id: block.id, - content: JSON.stringify(toolResult.content) + content: this.truncateToolResult(toolResult, block.name) }] }); + + // Track this message index if it's a model result + if (isModelResult) { + this.modelResultIndices.push(messageIndex); + } } } @@ -392,6 +446,183 @@ export class AgentOrchestrator { return response.stop_reason === 'max_tokens'; } + /** + * Clean up message history at session initialization + * Removes all but the most recent model and enforces token limits + * @param {Array} messages - The messages array to clean + */ + cleanupMessageHistory(messages) { + if (messages.length === 0) { + return; + } + + logger.log(`Cleaning up message history (${messages.length} messages)`); + + // Find all model results in the messages + const modelIndices = []; + for (let i = 0; i < messages.length; i++) { + const message = messages[i]; + if (message.role === 'user' && message.content && Array.isArray(message.content)) { + for (const content of message.content) { + if (content.type === 'tool_result' && content.content) { + try { + const parsed = JSON.parse(content.content); + if (this.isModelResult(parsed)) { + modelIndices.push(i); + break; // Only count this message once + } + } catch (e) { + // Not parseable, skip + } + } + } + } + } + + // Remove all but the most recent model + if (modelIndices.length > 1) { + // Keep only the last model index, remove all others + const indicesToRemove = modelIndices.slice(0, -1).sort((a, b) => b - a); + for (const index of indicesToRemove) { + messages.splice(index, 1); + logger.log(`Removed old model result from message history at index ${index}`); + } + logger.log(`Kept most recent model, removed ${indicesToRemove.length} older model(s)`); + } + + // Now enforce token limits (this happens in the main loop, but do it here too for cleanup) + const MAX_CONTEXT_TOKENS = config.maxContextTokens; + const messagesJson = JSON.stringify(messages); + const currentTokens = countTokens(messagesJson); + + if (currentTokens > MAX_CONTEXT_TOKENS) { + logger.log(`Message history after cleanup still exceeds token limit: ${currentTokens} tokens (limit: ${MAX_CONTEXT_TOKENS})`); + + // Keep the first message (user's initial request) for context + const firstMessage = messages[0]; + const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); + + let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens; + const keptMessages = [firstMessage]; + + // Add messages from most recent backwards until we hit the token budget + for (let i = messages.length - 1; i >= 1; i--) { + const messageTokens = countTokens(JSON.stringify(messages[i])); + + if (remainingTokenBudget - messageTokens >= 0) { + keptMessages.unshift(messages[i]); + remainingTokenBudget -= messageTokens; + } else { + break; + } + } + + // Replace messages array contents + messages.splice(0, messages.length, ...([firstMessage, ...keptMessages.slice(1)])); + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Trimmed message history to fit token budget: ${messages.length} messages, ${newTokenCount} tokens`); + } + } + + /** + * Check if a tool result contains a model + * @param {Object} toolResult - The tool result object + * @returns {boolean} True if this is a model result + */ + isModelResult(toolResult) { + if (toolResult.content && Array.isArray(toolResult.content)) { + const firstContent = toolResult.content[0]; + if (firstContent && firstContent.type === 'text') { + try { + const parsedContent = JSON.parse(firstContent.text); + return !!(parsedContent.model || parsedContent.variables); + } catch (e) { + return false; + } + } + } + return false; + } + + /** + * Remove old model results from messages array + * @param {Array} messages - The messages array to clean + */ + removeOldModelsFromMessages(messages) { + if (this.modelResultIndices.length === 0) { + return; // No old models to remove + } + + // Sort indices in descending order to remove from end first + const indicesToRemove = [...this.modelResultIndices].sort((a, b) => b - a); + + for (const index of indicesToRemove) { + if (index < messages.length) { + messages.splice(index, 1); + logger.log(`Removed old model result from message history at index ${index}`); + } + } + + // Clear the tracking array + this.modelResultIndices = []; + } + + /** + * Truncate large tool results to prevent context overflow + * @param {Object} toolResult - The tool result object + * @param {string} toolName - Name of the tool + * @returns {string} Truncated result suitable for conversation context + */ + truncateToolResult(toolResult, toolName) { + const resultStr = JSON.stringify(toolResult); + const tokenCount = countTokens(resultStr); + const MAX_TOOL_RESULT_TOKENS = 10000; + + // If result is small enough, return as-is + if (tokenCount <= MAX_TOOL_RESULT_TOKENS) { + return resultStr; + } + + // For large results, check if it's a model + let isModelResult = false; + let model = null; + + if (toolResult.content && Array.isArray(toolResult.content)) { + const firstContent = toolResult.content[0]; + if (firstContent && firstContent.type === 'text') { + try { + const parsedContent = JSON.parse(firstContent.text); + if (parsedContent.model || parsedContent.variables) { + isModelResult = true; + model = parsedContent.model || parsedContent; + } + } catch (e) { + // Not JSON, not a model result + } + } + } + + // For large model results, return a summary + if (isModelResult && model) { + logger.log(`Tool result for ${toolName} is ${tokenCount} tokens, truncating to summary`); + const summary = { + type: 'text', + text: `[Large model result truncated for context - ${tokenCount} tokens]\n\nModel summary:\n- Variables: ${model.variables?.length || 0}\n- Relationships: ${model.relationships?.length || 0}\n- Modules: ${model.modules?.length || 0}\n- Specs: ${model.specs ? 'present' : 'absent'}\n\nThe full model has been sent to the client and is available via read_model_section tool.` + }; + return JSON.stringify({ content: [summary] }); + } + + // Generic truncation for other large results + logger.log(`Tool result for ${toolName} is ${tokenCount} tokens, truncating to summary`); + const truncated = { + content: [{ + type: 'text', + text: `[Result truncated - original was ${tokenCount} tokens]\n\n${resultStr.substring(0, 2000)}...\n\n[Truncated]` + }] + }; + return JSON.stringify(truncated); + } + /** * Execute a tool call (built-in or client tool) */ diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 4f538062..41f88b37 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -2,7 +2,7 @@ name: "Myrddin" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" -max_iterations: 20 +max_iterations: 100 supports: - sfd - cld diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js index a6f9ac8f..7c14647d 100644 --- a/agent/tools/BuiltInTools.js +++ b/agent/tools/BuiltInTools.js @@ -1,39 +1,22 @@ -import { z } from 'zod'; -import { readFileSync, writeFileSync, existsSync } from 'fs'; -import { join } from 'path'; -import { - callQuantitativeEngine, - callQualitativeEngine, - callSeldonEngine, - callSeldonILEEngine, - callDocumentationEngine, - callLTMEngine, - callSeldonMentorEngine -} from '../utilities/EngineWrapper.js'; import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; import { - SDModelSchema, - createFeedbackRequestMessage, - createGetCurrentModelMessage, - createUpdateModelMessage, - createRunModelMessage, - createGetRunInfoMessage, - createGetVariableDataMessage, - createAgentTextMessage -} from '../utilities/MessageProtocol.js'; -import { LLMWrapper } from '../../utilities/LLMWrapper.js'; -import QuantitativeEngineBrain from '../../engines/quantitative/QuantitativeEngineBrain.js'; -import logger from '../../utilities/logger.js'; -import config from '../../config.js'; - -/** - * Generate a unique request ID for async operations - * @param {string} prefix - Prefix for the request ID (e.g., 'feedback', 'tool') - * @returns {string} Unique request ID - */ -function generateRequestId(prefix = 'request') { - return `${prefix}_${Date.now()}_${Math.random().toString(36).substring(7)}`; -} + createGenerateQuantitativeModelTool, + createGenerateQualitativeModelTool, + createDiscussModelWithSeldonTool, + createDiscussModelAcrossRunsTool, + createGenerateDocumentationTool, + createGenerateLtmNarrativeTool, + createDiscussWithMentorTool, + createGetFeedbackInformationTool, + createGetCurrentModelTool, + createUpdateModelTool, + createRunModelTool, + createGetRunInfoTool, + createGetVariableDataTool, + createVisualizationTool, + createReadModelSectionTool, + createEditModelSectionTool +} from './builtin/index.js'; /** * BuiltInTools @@ -48,6 +31,12 @@ function generateRequestId(prefix = 'request') { * - generate_documentation * - generate_ltm_narrative * - create_visualization + * - get_feedback_information + * - get_current_model + * - update_model + * - run_model + * - get_run_info + * - get_variable_data * - read_model_section (for reading parts of large models) * - edit_model_section (for editing parts of large models) */ @@ -65,1497 +54,24 @@ export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient const vizEngine = new VisualizationEngine(sessionManager, sessionId); return { - name: 'sd_ai_engines', + name: 'builtin_core_tools', tools: { - generate_quantitative_model: { - description: 'Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure. Use this for building computational models that can be simulated. Automatically pushes the generated model to the client.', - inputSchema: z.object({ - prompt: z.string().describe('Description of the model to generate'), - currentModel: SDModelSchema.optional().describe('Existing model to build upon'), - parameters: z.object({ - model: z.string().optional(), - problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - supportsArrays: z.boolean().optional().describe('Whether client supports arrayed models'), - supportsModules: z.boolean().optional().describe('Whether client supports modules') - }).optional() - }), - handler: async ({ prompt, currentModel, parameters }) => { - try { - // Check if model exceeds token limit - if so, refuse to call this tool - if (sessionManager.modelExceedsTokenLimit(sessionId)) { - return { - content: [{ - type: 'text', - text: `Error: Cannot use generate_quantitative_model when the model exceeds the token limit (${config.maxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` - }], - isError: true - }; - } - - const result = await callQuantitativeEngine(prompt, currentModel, parameters); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - // Automatically push the generated model to the client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('model'); - await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); - - // Wait for client confirmation - const updatePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - await updatePromise; - - // Build response - const responseText = JSON.stringify({ - model: result.model, - supportingInfo: result.supportingInfo, - pushedToClient: true - }, null, 2); - - return { - content: [{ - type: 'text', - text: responseText - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - generate_qualitative_model: { - description: 'Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships. Use this for conceptual models focusing on system structure. Automatically pushes the generated model to the client.', - inputSchema: z.object({ - prompt: z.string().describe('Description of the model to generate'), - currentModel: SDModelSchema.optional().describe('Existing model to build upon'), - parameters: z.object({ - model: z.string().optional(), - problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM') - }).optional() - }), - handler: async ({ prompt, currentModel, parameters }) => { - try { - const result = await callQualitativeEngine(prompt, currentModel, parameters); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - // Automatically push the generated model to the client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('model'); - await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); - - // Wait for client confirmation - const updatePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - await updatePromise; - - // Build response - const responseText = JSON.stringify({ - model: result.model, - supportingInfo: result.supportingInfo, - pushedToClient: true - }, null, 2); - - return { - content: [{ - type: 'text', - text: responseText - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - discuss_model_with_seldon: { - description: 'Have an expert-level discussion about the model using System Dynamics terminology. Use this for technical analysis and SD theory discussions.', - inputSchema: z.object({ - prompt: z.string().describe('Question or topic for discussion'), - model: SDModelSchema.describe('The model to discuss'), - feedbackLoops: z.array(z.any()).optional().describe('Feedback loop analysis data'), - parameters: z.object({ - model: z.string().optional(), - problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - behaviorContent: z.string().optional().describe('Time series behavior data') - }).optional() - }), - handler: async ({ prompt, model, feedbackLoops, parameters }) => { - try { - const result = await callSeldonEngine(prompt, model, feedbackLoops, parameters); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - // Check if feedback information is required but not provided - if (result.output.feedbackInformationRequired && !feedbackLoops) { - // Get feedback information from client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('feedback'); - - // Send request to client for feedback data (empty array means all runs) - await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingFeedbackRequests) { - session.pendingFeedbackRequests = new Map(); - } - session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); - }); - - const feedbackData = await resultPromise; - - // Retry the call with feedback information - const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent.loops, parameters); - - if (!retryResult.success) { - return { - content: [{ type: 'text', text: `Error: ${retryResult.error}` }], - isError: true - }; - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(retryResult.output, null, 2) - }] - }; - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(result.output, null, 2) - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - discuss_model_across_runs: { - description: 'Have a user-friendly discussion about the model without jargon, with the ability to compare and explain differences between simulation runs. Use this to understand what causes behavioral differences across runs - analyzing how different scenarios or parameter changes produce different outcomes by examining the underlying feedback loop dynamics.', - inputSchema: z.object({ - prompt: z.string().describe('Question or topic for discussion'), - model: SDModelSchema.describe('The model to discuss'), - runName: z.string().optional().describe('Simulation run ID for context'), - feedbackContent: z.object({}).passthrough().optional().describe('Feedback loop analysis data'), - parameters: z.object({ - model: z.string().optional(), - problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - behaviorContent: z.string().optional().describe('Time series behavior data') - }).optional() - }), - handler: async ({ prompt, model, runName, feedbackContent, parameters }) => { - try { - // Add feedbackContent to parameters if provided - const engineParams = { - ...parameters, - ...(feedbackContent && { feedbackContent }) - }; - - const result = await callSeldonILEEngine(prompt, model, runName, engineParams); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - // Check if feedback information is required but not provided - if (result.output.feedbackInformationRequired && !feedbackContent) { - // Get comparative feedback information from client (all runs) - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('feedback'); - - // Send request to client for comparative feedback data (empty array means all runs) - await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingFeedbackRequests) { - session.pendingFeedbackRequests = new Map(); - } - session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); - }); - - const feedbackData = await resultPromise; - - // Retry the call with comparative feedback information - const retryParams = { - ...parameters, - feedbackContent: feedbackData.feedbackContent - }; - - const retryResult = await callSeldonILEEngine(prompt, model, runName, retryParams); - - if (!retryResult.success) { - return { - content: [{ type: 'text', text: `Error: ${retryResult.error}` }], - isError: true - }; - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(retryResult.output, null, 2) - }] - }; - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(result.output, null, 2) - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - generate_documentation: { - description: 'Auto-generate documentation for model variables including descriptions and polarity.', - inputSchema: z.object({ - model: SDModelSchema.describe('The model to document'), - parameters: z.object({ - model: z.string().optional() - }).optional() - }), - handler: async ({ model, parameters }) => { - try { - const result = await callDocumentationEngine(model, parameters); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - // Automatically push the generated model to the client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('model'); - await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); - - // Wait for client confirmation - const updatePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - await updatePromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify({ - model: result.model, - supportingInfo: result.supportingInfo - }, null, 2) - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - generate_ltm_narrative: { - description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', - inputSchema: z.object({ - model: SDModelSchema.describe('The model to analyze'), - feedbackLoops: z.array(z.any()).describe('Feedback loop analysis data'), - parameters: z.object({ - model: z.string().optional() - }).optional() - }), - handler: async ({ model, feedbackLoops, parameters }) => { - try { - const result = await callLTMEngine(model, feedbackLoops, parameters); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - return { - content: [{ - type: 'text', - text: JSON.stringify({ - feedbackLoops: result.feedbackLoops, - output: result.output - }, null, 2) - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - discuss_with_mentor: { - description: 'Ask thoughtful questions to the user to guide their learning and help them think through System Dynamics concepts. Use this to engage users in Socratic dialogue about their model.', - inputSchema: z.object({ - prompt: z.string().describe('The question or guidance to provide to the user'), - model: SDModelSchema.describe('The model being discussed'), - parameters: z.object({ - model: z.string().optional(), - problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM') - }).optional() - }), - handler: async ({ prompt, model, parameters }) => { - try { - const result = await callSeldonMentorEngine(prompt, model, parameters); - - if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(result.output, null, 2) - }] - }; - } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; - } - } - }, - - get_feedback_information: { - description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Provide a list of run IDs to get feedback for.', - inputSchema: z.object({ - runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for') - }), - handler: async ({ runIds }) => { - try { - // Create a promise that will be resolved when client responds - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('feedback'); - - // Send request to client for feedback data - await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runIds)); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); - }, 30000); - - // Store the resolver in session so it can be called when client responds - if (!session.pendingFeedbackRequests) { - session.pendingFeedbackRequests = new Map(); - } - session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); - }); - - const feedbackData = await resultPromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify({ - feedbackContent: feedbackData.feedbackContent, - runIds: feedbackData.runIds - }, null, 2) - }] - }; - } catch (error) { - logger.error('get_feedback_information error:', error); - return { - content: [{ type: 'text', text: `Failed to get feedback information: ${error.message}` }], - isError: true - }; - } - } - }, - - get_current_model: { - description: 'Get the current model from the client. Returns the model data that is currently loaded in the client.', - inputSchema: z.object({}), - handler: async () => { - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('model'); - - // Send request to client for current model - await sendToClient(createGetCurrentModelMessage(sessionId, requestId)); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Get current model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - const modelData = await resultPromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify(modelData, null, 2) - }] - }; - } catch (error) { - logger.error('get_current_model error:', error); - return { - content: [{ type: 'text', text: `Failed to get current model: ${error.message}` }], - isError: true - }; - } - } - }, - - update_model: { - description: 'Update the model in the client with new model data. This replaces the current model.', - inputSchema: z.object({ - modelData: z.any().describe('The model data to update in the client') - }), - handler: async ({ modelData }) => { - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('model'); - - // Send update request to client - await sendToClient(createUpdateModelMessage(sessionId, requestId, modelData)); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - const result = await resultPromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify({ success: true, ...result }, null, 2) - }] - }; - } catch (error) { - logger.error('update_model error:', error); - return { - content: [{ type: 'text', text: `Failed to update model: ${error.message}` }], - isError: true - }; - } - } - }, - - run_model: { - description: 'Run the model simulation in the client. Returns a runId for the completed run.', - inputSchema: z.object({}), - handler: async () => { - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('run'); - - // Send run request to client - await sendToClient(createRunModelMessage(sessionId, requestId)); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Run model timeout: Client did not respond within 60 seconds')); - }, 60000); // Longer timeout for model runs - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - const result = await resultPromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify({ - runId: result.runId, - success: true, - ...result - }, null, 2) - }] - }; - } catch (error) { - logger.error('run_model error:', error); - return { - content: [{ type: 'text', text: `Failed to run model: ${error.message}` }], - isError: true - }; - } - } - }, - - get_run_info: { - description: 'Get information about all simulation runs. Returns a list of run objects, where each run object contains an id, name, and optional metadata.', - inputSchema: z.object({}), - handler: async () => { - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('runinfo'); - - // Send request to client for run info - await sendToClient(createGetRunInfoMessage(sessionId, requestId)); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Get run info timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - const runInfo = await resultPromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify({ - runs: runInfo.runs || [], - count: runInfo.runs?.length || 0 - }, null, 2) - }] - }; - } catch (error) { - logger.error('get_run_info error:', error); - return { - content: [{ type: 'text', text: `Failed to get run info: ${error.message}` }], - isError: true - }; - } - } - }, - - get_variable_data: { - description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs. For visualization or analysis, consider requesting a small subset of key variables first.', - inputSchema: z.object({ - variableNames: z.array(z.string()).describe('List of variable names to get data for'), - runIds: z.array(z.string()).describe('List of run IDs to get variable data from') - }), - handler: async ({ variableNames, runIds }) => { - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const requestId = generateRequestId('vardata'); - - // Send request to client for variable data - await sendToClient(createGetVariableDataMessage(sessionId, requestId, variableNames, runIds)); - - // Create pending request that will be resolved when client responds - const resultPromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Get variable data timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - const variableData = await resultPromise; - - return { - content: [{ - type: 'text', - text: JSON.stringify(variableData, null, 2) - }] - }; - } catch (error) { - logger.error('get_variable_data error:', error); - return { - content: [{ type: 'text', text: `Failed to get variable data: ${error.message}` }], - isError: true - }; - } - } - }, - - create_visualization: { - description: `Create a data visualization and send it to the client for display in chat. - -Visualization types: -- time_series: Line plots showing variables over time -- phase_portrait: State-space plots (stock vs stock) -- feedback_dominance: Stacked area chart of loop influence -- comparison: Multi-run comparison charts - -Use useAICustom=true to have AI generate custom matplotlib code for complex visualizations.`, - inputSchema: z.object({ - type: z.enum(['time_series', 'phase_portrait', 'feedback_dominance', 'comparison']).optional(), - data: z.object({}).passthrough().describe('The data to visualize (time series format or feedback loop data)'), - variables: z.array(z.string()).describe('Variables to include in visualization'), - title: z.string().describe('Visualization title'), - description: z.string().optional().describe('Description of what the visualization shows'), - usePython: z.boolean().optional().describe('Use Python/matplotlib. Default: true'), - useAICustom: z.boolean().optional().describe('Use AI to generate custom Python visualization code. Default: false'), - dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), - visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), - options: z.object({ - timeUnits: z.string().optional(), - timeRange: z.object({ start: z.number(), end: z.number() }).optional(), - highlightPeriods: z.array(z.object({ - start: z.number(), - end: z.number(), - label: z.string(), - color: z.string().optional() - })).optional(), - width: z.number().optional(), - height: z.number().optional(), - customRequirements: z.string().optional().describe('Additional requirements for AI visualization') - }).optional() - }), - handler: async ({ type, data, variables, title, description, usePython, useAICustom, dataDescription, visualizationGoal, options }) => { - try { - const vizOptions = { - ...options, - title, - description, - usePython, - useAICustom, - dataDescription, - visualizationGoal - }; - - // VisualizationEngine now returns just base64 image string - const base64Image = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); - - // Generate visualization ID - const visualizationId = `viz_${Date.now()}_${Math.random().toString(36).substring(7)}`; - - // Wrap base64 string in proper visualization message object - const vizMessage = { - type: 'visualization', - sessionId: sessionId, - visualizationId, - title: title || 'Visualization', - format: 'image', - data: { - encoding: 'base64', - mimeType: 'image/png', - content: base64Image, - width: 800, - height: 600 - }, - timestamp: new Date().toISOString() - }; - - // Add description if provided - if (description) { - vizMessage.description = description; - } - - // Send visualization to client - await sendToClient(vizMessage); - - return { - content: [{ - type: 'text', - text: `Created ${useAICustom ? 'AI-custom' : type || 'time_series'} visualization: "${title}" and sent to client` - }] - }; - } catch (error) { - logger.debug('Visualization error:', error); - return { - content: [{ type: 'text', text: `Failed to create visualization: ${error.message}` }], - isError: true - }; - } - } - }, - - read_model_section: { - description: `Read a specific section of the large model file. Use this to inspect parts of the model without loading the entire thing. - -Available sections: -- specs: simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). - * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] - * All four fields (type, name, size, elements) are required for each dimension - * type="numeric": elements auto-generated as ['1','2','3'...] - * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] -- variables: array of variables with schema: {name, type (stock|flow|variable), equation, documentation, units, uniflow, inflows, outflows, dimensions, arrayEquations, crossLevelGhostOf, graphicalFunction} -- relationships: array of relationships with schema: {from, to, polarity (+|-|""), reasoning, polarityReasoning} -- modules: module hierarchy with schema: {name, parentModule}. IMPORTANT: The modules array only defines the hierarchical structure (which modules exist and their parent-child relationships). It does NOT tell you which variables belong to a module - variable membership is determined by the variable name prefix (e.g., "Finance.revenue" belongs to the Finance module). - -Module handling: -- In modular models, variable names are module-qualified as "Module_Name.variable_name" -- To find variables in a module, use the moduleName filter (filters by name prefix) -- The modules section only shows the module hierarchy, not the contents - -Array handling: -- Variables with the "dimensions" field are arrayed variables -- Array dimensions must be defined in specs.arrayDimensions BEFORE being referenced by variables -- Each dimension requires all four fields: type, name, size, elements -- Element-specific equations are in the "arrayEquations" field - -Filtering: -- variableNames filter matches base names (e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost") -- moduleName filter gets all variables from a specific module (by name prefix) -- usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores)`, - inputSchema: z.object({ - section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to read'), - filter: z.object({ - variableNames: z.array(z.string()).optional().describe('Filter variables by base name (matches both qualified and unqualified names, e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost")'), - variableType: z.enum(['stock', 'flow', 'variable']).optional().describe('Filter variables by type'), - moduleName: z.string().optional().describe('Filter variables by module (e.g., "Module_Name" - variable names are module-qualified as Module_Name.variable_name)'), - usedInEquation: z.string().optional().describe('Find variables whose equations reference this variable (case-insensitive). Searches in both equation and arrayEquations fields.'), - relationshipFrom: z.string().optional().describe('Filter relationships by source variable'), - relationshipTo: z.string().optional().describe('Filter relationships by target variable'), - limit: z.number().optional().describe('Limit number of results returned (default: 500)') - }).optional().describe('Optional filters for variables/relationships/modules') - }), - handler: async ({ section, filter }) => { - try { - // Send message to client about what we're reading - let filterDesc = ''; - if (filter) { - const filterParts = []; - if (filter.variableNames && filter.variableNames.length > 0) { - filterParts.push(`variables named ${filter.variableNames.map(n => `"${n}"`).join(', ')}`); - } - if (filter.variableType) { - filterParts.push(`type: ${filter.variableType}`); - } - if (filter.moduleName) { - filterParts.push(`in module "${filter.moduleName}"`); - } - if (filter.usedInEquation) { - filterParts.push(`used in equations referencing "${filter.usedInEquation}"`); - } - if (filter.relationshipFrom) { - filterParts.push(`relationships from "${filter.relationshipFrom}"`); - } - if (filter.relationshipTo) { - filterParts.push(`relationships to "${filter.relationshipTo}"`); - } - if (filter.limit) { - filterParts.push(`limit: ${filter.limit}`); - } - if (filterParts.length > 0) { - filterDesc = ` (${filterParts.join(', ')})`; - } - } - await sendToClient(createAgentTextMessage(sessionId, - `Reading model section: ${section}${filterDesc}`)); - - const sessionTempDir = sessionManager.getSessionTempDir(sessionId); - const modelPath = join(sessionTempDir, 'model.sdjson'); - - if (!existsSync(modelPath)) { - return { - content: [{ type: 'text', text: 'Error: Model file not found. The model may not have exceeded the token limit yet.' }], - isError: true - }; - } - - const modelContent = readFileSync(modelPath, 'utf-8'); - const model = JSON.parse(modelContent); - - const limit = filter?.limit || 500; - let result = {}; - - switch (section) { - case 'specs': - result = model.specs || {}; - break; - - case 'variables': - let variables = model.variables || []; - - // Apply filters (case-insensitive) - if (filter?.variableNames && filter.variableNames.length > 0) { - // Convert filter names to lowercase for case-insensitive matching - const lowerFilterNames = filter.variableNames.map(name => name.toLowerCase()); - - // Match both qualified and unqualified names - // e.g., "cost" should match "Module_1.cost", "Module_2.cost", and "cost" - variables = variables.filter(v => { - const lowerName = v.name.toLowerCase(); - - // Check if the full name matches - if (lowerFilterNames.includes(lowerName)) { - return true; - } - // Check if the base name (after the last dot) matches - const baseName = v.name.includes('.') ? v.name.split('.').pop() : v.name; - return lowerFilterNames.includes(baseName.toLowerCase()); - }); - } - if (filter?.variableType) { - variables = variables.filter(v => v.type === filter.variableType); - } - if (filter?.moduleName) { - // Filter by module name - variable names are module-qualified as "Module_Name.variable_name" - // Case-insensitive matching - const modulePrefix = filter.moduleName.toLowerCase() + '.'; - variables = variables.filter(v => v.name.toLowerCase().startsWith(modulePrefix)); - } - if (filter?.usedInEquation) { - // Filter by variables that reference the given variable in their equations - // Convert to XMILE format and lowercase for matching - const searchTerm = filter.usedInEquation.replace(/ /g, '_').toLowerCase(); - - variables = variables.filter(v => { - // Search in equation field - if (v.equation && v.equation.toLowerCase().includes(searchTerm)) { - return true; - } - // Search in arrayEquations - if (v.arrayEquations && Array.isArray(v.arrayEquations)) { - return v.arrayEquations.some(ae => - ae.equation && ae.equation.toLowerCase().includes(searchTerm) - ); - } - return false; - }); - } - - // Limit results - const total = variables.length; - variables = variables.slice(0, limit); - - // Pre-process variable names to replace spaces with underscores (XMILE format) - // This shows how variables are referenced in equations - variables = variables.map(v => ({ - ...v, - name: v.name.replace(/ /g, '_') - })); - - result = { - variables, - total, - returned: variables.length, - truncated: total > limit - }; - break; - - case 'relationships': - let relationships = model.relationships || []; - - // Apply filters - if (filter?.relationshipFrom) { - relationships = relationships.filter(r => r.from === filter.relationshipFrom); - } - if (filter?.relationshipTo) { - relationships = relationships.filter(r => r.to === filter.relationshipTo); - } - - // Limit results - const totalRels = relationships.length; - relationships = relationships.slice(0, limit); - - result = { - relationships, - total: totalRels, - returned: relationships.length, - truncated: totalRels > limit - }; - break; - - case 'modules': - let modules = model.modules || []; - - // Apply filter - if (filter?.moduleName) { - modules = modules.filter(m => m.name === filter.moduleName); - } - - result = { - modules, - total: modules.length - }; - break; - } - - // Send success message to client - let resultSummary = ''; - if (section === 'variables' && result.variables) { - resultSummary = `Found ${result.returned} variable(s)${result.truncated ? ` (truncated from ${result.total})` : ''}`; - } else if (section === 'relationships' && result.relationships) { - resultSummary = `Found ${result.returned} relationship(s)${result.truncated ? ` (truncated from ${result.total})` : ''}`; - } else if (section === 'modules' && result.modules) { - resultSummary = `Found ${result.total} module(s)`; - } else if (section === 'specs') { - resultSummary = `Retrieved model specifications`; - } - await sendToClient(createAgentTextMessage(sessionId, resultSummary)); - - return { - content: [{ - type: 'text', - text: JSON.stringify(result, null, 2) - }] - }; - } catch (error) { - logger.error('read_model_section error:', error); - return { - content: [{ type: 'text', text: `Failed to read model section: ${error.message}` }], - isError: true - }; - } - } - }, - - edit_model_section: { - description: `Edit a specific section of the large model file. This allows you to modify parts of the model without loading the entire thing. - -You can edit: -- specs: Update simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). - * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] - * CRITICAL: All four fields (type, name, size, elements) are REQUIRED for each dimension - * type="numeric": elements auto-generated as ['1','2','3'...] based on size - * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] - * When updating arrayDimensions, provide the COMPLETE array with all dimensions (it replaces the entire array) -- variables: Add, update, or remove specific variables. Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?} -- relationships: Add, update, or remove relationships. Schema: {from, to, polarity (+|-|""), reasoning?, polarityReasoning?} -- modules: Add, update, or remove modules. Schema: {name, parentModule}. IMPORTANT: Modules array only defines hierarchy, NOT contents. Variable membership is by name prefix. - -VARIABLE RENAMING: -- To rename a variable, use update operation with {name: "OldName", newName: "NewName"} -- The tool will automatically update ALL equations that reference the old variable name -- This includes equations in ALL variables across ALL modules -- References are updated case-insensitively using XMILE format (with underscores) - -CRITICAL MODULE RULES: -- Variable names use ONLY their immediate owning module as prefix: "ModuleName.variableName" -- NEVER use full hierarchy path in variable names (WRONG: "Company.Sales.revenue", CORRECT: "Sales.revenue") -- Variables are qualified ONLY by their direct parent module, never by ancestor modules -- Cross-module references require ghost variables: use "crossLevelGhostOf" field pointing to source variable -- Ghost variables have empty equation field (equation = "") - -CRITICAL EQUATION RULES: -- XMILE naming: Replace all spaces with underscores in variable references (e.g., "birth_rate" not "birth rate") -- Every variable MUST have either 'equation' OR 'arrayEquations' (never both, never neither) -- NEVER embed numerical constants directly in equations - create separate named variables for constants -- Stock-flow constraint: A flow can NEVER appear in BOTH inflows AND outflows of the same stock - -CRITICAL ARRAY RULES: -- Array dimensions MUST be defined in specs.arrayDimensions BEFORE being referenced by variables -- Each dimension requires ALL FOUR fields: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), elements (array of element names) -- For arrayed variables, set "dimensions" field to array of dimension names that reference specs.arrayDimensions -- If all elements use SAME formula: provide 'equation' only -- If elements have DIFFERENT formulas: provide 'arrayEquations' for ALL elements (omit 'equation') -- For arrayed STOCKS: ALWAYS use 'arrayEquations' to specify initial values for each element -- SUM function syntax: ALWAYS use asterisk (*) for dimension being summed, NEVER the dimension name - * WRONG: SUM(Revenue[region]) - * CORRECT: SUM(Revenue[*]) - * CRITICAL: Every SUM equation MUST contain at least one asterisk (*) - -After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, - inputSchema: z.object({ - section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to edit'), - operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), - data: z.any().describe('The data for the operation. For update: partial object with fields to update. For add: complete new item(s) matching schema. For remove: identifier(s) to remove.') - }), - handler: async ({ section, operation, data }) => { - try { - // Send message to client about what we're editing - await sendToClient(createAgentTextMessage(sessionId, - `Editing model section: ${section} (operation: ${operation})`)); - - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const sessionTempDir = sessionManager.getSessionTempDir(sessionId); - const modelPath = join(sessionTempDir, 'model.sdjson'); - - if (!existsSync(modelPath)) { - return { - content: [{ type: 'text', text: 'Error: Model file not found. The model may not have exceeded the token limit yet.' }], - isError: true - }; - } - - const modelContent = readFileSync(modelPath, 'utf-8'); - const model = JSON.parse(modelContent); - - // Perform the edit operation - switch (section) { - - case 'specs': - if (operation === 'update') { - // Merge specs, handling arrayDimensions properly - model.specs = model.specs || {}; - - // Update top-level spec fields - if (data.startTime !== undefined) model.specs.startTime = data.startTime; - if (data.stopTime !== undefined) model.specs.stopTime = data.stopTime; - if (data.dt !== undefined) model.specs.dt = data.dt; - if (data.timeUnits !== undefined) model.specs.timeUnits = data.timeUnits; - - // Handle arrayDimensions separately (replace entire array) - if (data.arrayDimensions !== undefined) { - // Validate arrayDimensions - each dimension must have all four required fields - if (Array.isArray(data.arrayDimensions)) { - for (const dim of data.arrayDimensions) { - if (!dim.type || !dim.name || dim.size === undefined || !Array.isArray(dim.elements)) { - return { - content: [{ - type: 'text', - text: `Error: Array dimension "${dim.name || 'unknown'}" is missing required fields. All dimensions must have: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), and elements (array of element names).` - }], - isError: true - }; - } - if (dim.type !== 'numeric' && dim.type !== 'labels') { - return { - content: [{ - type: 'text', - text: `Error: Array dimension "${dim.name}" has invalid type "${dim.type}". Must be "numeric" or "labels".` - }], - isError: true - }; - } - if (typeof dim.size !== 'number' || dim.size <= 0) { - return { - content: [{ - type: 'text', - text: `Error: Array dimension "${dim.name}" size must be a positive integer, got: ${dim.size}` - }], - isError: true - }; - } - if (dim.elements.length !== dim.size) { - return { - content: [{ - type: 'text', - text: `Error: Array dimension "${dim.name}" has size=${dim.size} but elements array has ${dim.elements.length} items. They must match.` - }], - isError: true - }; - } - } - } - model.specs.arrayDimensions = data.arrayDimensions; - } - } - break; - - case 'variables': - model.variables = model.variables || []; - if (operation === 'add') { - const varsToAdd = Array.isArray(data) ? data : [data]; - // Validate that required fields exist (name, type) - for (const v of varsToAdd) { - if (!v.name || !v.type) { - return { - content: [{ type: 'text', text: 'Error: Variables must have "name" and "type" fields' }], - isError: true - }; - } - if (!['stock', 'flow', 'variable'].includes(v.type)) { - return { - content: [{ type: 'text', text: `Error: Variable type must be "stock", "flow", or "variable", got "${v.type}"` }], - isError: true - }; - } - } - model.variables.push(...varsToAdd); - } else if (operation === 'update') { - const varName = data.name; - if (!varName) { - return { - content: [{ type: 'text', text: 'Error: Must specify "name" field to update a variable' }], - isError: true - }; - } - const index = model.variables.findIndex(v => v.name === varName); - if (index >= 0) { - const oldVariable = model.variables[index]; - const oldName = oldVariable.name; - - // Check if the variable is being renamed - const isRenamed = data.newName && data.newName !== oldName; - - if (isRenamed) { - const newName = data.newName; - - // Send message to client about renaming operation - await sendToClient(createAgentTextMessage(sessionId, - `Renaming variable "${oldName}" to "${newName}" and updating all references across the model...`)); - - // Convert names to XMILE format for equation matching - const oldNameXMILE = oldName.replace(/ /g, '_'); - const newNameXMILE = newName.replace(/ /g, '_'); - - // Create regex to match the variable name as a whole word - // This prevents partial matches (e.g., "cost" shouldn't match "cost_total") - const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); - - let updatedCount = 0; - - // Update all equations that reference this variable - for (const variable of model.variables) { - let modified = false; - - // Update equation field - if (variable.equation && varRegex.test(variable.equation)) { - variable.equation = variable.equation.replace(varRegex, newNameXMILE); - modified = true; - } - - // Update arrayEquations - if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { - for (const ae of variable.arrayEquations) { - if (ae.equation && varRegex.test(ae.equation)) { - ae.equation = ae.equation.replace(varRegex, newNameXMILE); - modified = true; - } - } - } - - if (modified) { - updatedCount++; - } - } - - // Update the variable's name - data.name = newName; - delete data.newName; // Remove the temporary field - - // Send update message - await sendToClient(createAgentTextMessage(sessionId, - `Updated ${updatedCount} variable(s) that referenced "${oldName}"`)); - } - - // Merge the update, preserving all optional fields - model.variables[index] = { ...model.variables[index], ...data }; - } else { - return { - content: [{ type: 'text', text: `Error: Variable "${varName}" not found` }], - isError: true - }; - } - } else if (operation === 'remove') { - const namesToRemove = Array.isArray(data) ? data : [data]; - model.variables = model.variables.filter(v => !namesToRemove.includes(v.name)); - } - break; - - case 'relationships': - model.relationships = model.relationships || []; - if (operation === 'add') { - const relsToAdd = Array.isArray(data) ? data : [data]; - // Validate that required fields exist (from, to, polarity) - for (const r of relsToAdd) { - if (!r.from || !r.to) { - return { - content: [{ type: 'text', text: 'Error: Relationships must have "from" and "to" fields' }], - isError: true - }; - } - if (r.polarity !== undefined && !['+', '-', ''].includes(r.polarity)) { - return { - content: [{ type: 'text', text: `Error: Relationship polarity must be "+", "-", or "", got "${r.polarity}"` }], - isError: true - }; - } - } - model.relationships.push(...relsToAdd); - } else if (operation === 'update') { - if (!data.from || !data.to) { - return { - content: [{ type: 'text', text: 'Error: Must specify "from" and "to" fields to update a relationship' }], - isError: true - }; - } - const index = model.relationships.findIndex(r => r.from === data.from && r.to === data.to); - if (index >= 0) { - model.relationships[index] = { ...model.relationships[index], ...data }; - } else { - return { - content: [{ type: 'text', text: `Error: Relationship from "${data.from}" to "${data.to}" not found` }], - isError: true - }; - } - } else if (operation === 'remove') { - // data should be array of {from, to} objects or strings (variable names) - const relsToRemove = Array.isArray(data) ? data : [data]; - model.relationships = model.relationships.filter(r => - !relsToRemove.some(rem => rem.from === r.from && rem.to === r.to) - ); - } - break; - - case 'modules': - model.modules = model.modules || []; - if (operation === 'update') { - // For update operation on modules, replace entire array - if (!Array.isArray(data)) { - return { - content: [{ type: 'text', text: 'Error: For modules update operation, data must be an array of module objects' }], - isError: true - }; - } - // Validate each module - for (const m of data) { - if (!m.name || m.parentModule === undefined) { - return { - content: [{ type: 'text', text: 'Error: Modules must have "name" and "parentModule" fields' }], - isError: true - }; - } - } - model.modules = data; - } else if (operation === 'add') { - const modulesToAdd = Array.isArray(data) ? data : [data]; - // Validate that required fields exist - for (const m of modulesToAdd) { - if (!m.name || m.parentModule === undefined) { - return { - content: [{ type: 'text', text: 'Error: Modules must have "name" and "parentModule" fields' }], - isError: true - }; - } - } - model.modules.push(...modulesToAdd); - } else if (operation === 'remove') { - const moduleNamesToRemove = Array.isArray(data) ? data : [data]; - model.modules = model.modules.filter(m => !moduleNamesToRemove.includes(m.name)); - } - break; - } - - // Validate the model structure using LLMWrapper schema - const llmWrapper = new LLMWrapper(); - const modelType = session.modelType; - - if (modelType !== 'sfd') { - return { - content: [{ type: 'text', text: 'Error: Model editing is only supported for quantitative (SFD) models' }], - isError: true - }; - } - - const supportsArrays = session.context?.supportsArrays || false; - const supportsModules = session.context?.supportsModules || false; - const validationSchema = llmWrapper.generateQuantitativeSDJSONResponseSchema(false, supportsArrays); - - // Validate the edited model - await sendToClient(createAgentTextMessage(sessionId, - `Validating model structure...`)); - - try { - validationSchema.parse(model); - } catch (validationError) { - return { - content: [{ - type: 'text', - text: `Model validation failed after edit:\n${validationError.message}\n\nThe edit was not applied. Please fix the validation errors and try again.` - }], - isError: true - }; - } - - // Process the model through the quantitative engine pipeline - const engineBrain = new QuantitativeEngineBrain( - '', // Empty prompt since we're processing an edited model - model, - { - supportsArrays, - supportsModules - } - ); - - // Run the post-processing pipeline - const processedModel = await engineBrain.processResponse(model); - - // Write the processed model back to disk - writeFileSync(modelPath, JSON.stringify(processedModel, null, 2)); - logger.log(`Processed model written to: ${modelPath}`); - - // Update the client model - await sendToClient(createAgentTextMessage(sessionId, - `Sending updated model to client...`)); - - const updateRequestId = generateRequestId('model'); - await sendToClient(createUpdateModelMessage(sessionId, updateRequestId, processedModel)); - - // Wait for client confirmation - const updatePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(updateRequestId, { resolve, reject, timeout }); - }); - - await updatePromise; - - // Update session model reference - sessionManager.updateClientModel(sessionId, processedModel); - - // Send final success message - await sendToClient(createAgentTextMessage(sessionId, - `Successfully edited ${section} section. Model validated, processed, and updated.`)); - - return { - content: [{ - type: 'text', - text: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.` - }] - }; - } catch (error) { - logger.error('edit_model_section error:', error); - return { - content: [{ type: 'text', text: `Failed to edit model section: ${error.message}` }], - isError: true - }; - } - } - } + generate_quantitative_model: createGenerateQuantitativeModelTool(sessionManager, sessionId, sendToClient), + generate_qualitative_model: createGenerateQualitativeModelTool(sessionManager, sessionId, sendToClient), + discuss_model_with_seldon: createDiscussModelWithSeldonTool(sessionManager, sessionId, sendToClient), + discuss_model_across_runs: createDiscussModelAcrossRunsTool(sessionManager, sessionId, sendToClient), + generate_documentation: createGenerateDocumentationTool(sessionManager, sessionId, sendToClient), + generate_ltm_narrative: createGenerateLtmNarrativeTool(), + discuss_with_mentor: createDiscussWithMentorTool(), + get_feedback_information: createGetFeedbackInformationTool(sessionManager, sessionId, sendToClient), + get_current_model: createGetCurrentModelTool(sessionManager, sessionId, sendToClient), + update_model: createUpdateModelTool(sessionManager, sessionId, sendToClient), + run_model: createRunModelTool(sessionManager, sessionId, sendToClient), + get_run_info: createGetRunInfoTool(sessionManager, sessionId, sendToClient), + get_variable_data: createGetVariableDataTool(sessionManager, sessionId, sendToClient), + create_visualization: createVisualizationTool(sessionManager, sessionId, sendToClient, vizEngine), + read_model_section: createReadModelSectionTool(sessionManager, sessionId), + edit_model_section: createEditModelSectionTool(sessionManager, sessionId, sendToClient) } }; } diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js new file mode 100644 index 00000000..502e3a66 --- /dev/null +++ b/agent/tools/builtin/clientInteractionTools.js @@ -0,0 +1,272 @@ +import { z } from 'zod'; +import { + createGetCurrentModelMessage, + createUpdateModelMessage, + createRunModelMessage, + createGetRunInfoMessage, + createGetVariableDataMessage +} from '../../utilities/MessageProtocol.js'; +import { generateRequestId } from './toolHelpers.js'; +import logger from '../../../utilities/logger.js'; + +/** + * Get the current model from the client + */ +export function createGetCurrentModelTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Get the current model from the client. Returns the model data that is currently loaded in the client.', + inputSchema: z.object({}), + handler: async () => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + + // Send request to client for current model + await sendToClient(createGetCurrentModelMessage(sessionId, requestId)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Get current model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const modelData = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify(modelData, null, 2) + }] + }; + } catch (error) { + logger.error('get_current_model error:', error); + return { + content: [{ type: 'text', text: `Failed to get current model: ${error.message}` }], + isError: true + }; + } + } + }; +} + +/** + * Update the model in the client + */ +export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Update the model in the client with new model data. This replaces the current model.', + inputSchema: z.object({ + modelData: z.any().describe('The model data to update in the client') + }), + handler: async ({ modelData }) => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + + // Send update request to client + await sendToClient(createUpdateModelMessage(sessionId, requestId, modelData)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const result = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ success: true, ...result }, null, 2) + }] + }; + } catch (error) { + logger.error('update_model error:', error); + return { + content: [{ type: 'text', text: `Failed to update model: ${error.message}` }], + isError: true + }; + } + } + }; +} + +/** + * Run the model simulation in the client + */ +export function createRunModelTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Run the model simulation in the client. Returns a runId for the completed run.', + inputSchema: z.object({}), + handler: async () => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('run'); + + // Send run request to client + await sendToClient(createRunModelMessage(sessionId, requestId)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Run model timeout: Client did not respond within 60 seconds')); + }, 60000); // Longer timeout for model runs + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const result = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + runId: result.runId, + success: true, + ...result + }, null, 2) + }] + }; + } catch (error) { + logger.error('run_model error:', error); + return { + content: [{ type: 'text', text: `Failed to run model: ${error.message}` }], + isError: true + }; + } + } + }; +} + +/** + * Get information about all simulation runs + */ +export function createGetRunInfoTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Get information about all simulation runs. Returns a list of run objects, where each run object contains an id, name, and optional metadata.', + inputSchema: z.object({}), + handler: async () => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('runinfo'); + + // Send request to client for run info + await sendToClient(createGetRunInfoMessage(sessionId, requestId)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Get run info timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const runInfo = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + runs: runInfo.runs || [], + count: runInfo.runs?.length || 0 + }, null, 2) + }] + }; + } catch (error) { + logger.error('get_run_info error:', error); + return { + content: [{ type: 'text', text: `Failed to get run info: ${error.message}` }], + isError: true + }; + } + } + }; +} + +/** + * Get data for specific variables from specific runs + */ +export function createGetVariableDataTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs. For visualization or analysis, consider requesting a small subset of key variables first.', + inputSchema: z.object({ + variableNames: z.array(z.string()).describe('List of variable names to get data for'), + runIds: z.array(z.string()).describe('List of run IDs to get variable data from') + }), + handler: async ({ variableNames, runIds }) => { + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('vardata'); + + // Send request to client for variable data + await sendToClient(createGetVariableDataMessage(sessionId, requestId, variableNames, runIds)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Get variable data timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + const variableData = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify(variableData, null, 2) + }] + }; + } catch (error) { + logger.error('get_variable_data error:', error); + return { + content: [{ type: 'text', text: `Failed to get variable data: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js new file mode 100644 index 00000000..5d3337f7 --- /dev/null +++ b/agent/tools/builtin/createVisualization.js @@ -0,0 +1,100 @@ +import { z } from 'zod'; +import logger from '../../../utilities/logger.js'; + +/** + * Create a data visualization and send it to the client + */ +export function createVisualizationTool(sessionManager, sessionId, sendToClient, vizEngine) { + return { + description: `Create a data visualization and send it to the client for display in chat. + +Visualization types: +- time_series: Line plots showing variables over time +- phase_portrait: State-space plots (stock vs stock) +- feedback_dominance: Stacked area chart of loop influence +- comparison: Multi-run comparison charts + +Use useAICustom=true to have AI generate custom matplotlib code for complex visualizations.`, + inputSchema: z.object({ + type: z.enum(['time_series', 'phase_portrait', 'feedback_dominance', 'comparison']).optional(), + data: z.object({}).passthrough().describe('The data to visualize (time series format or feedback loop data)'), + variables: z.array(z.string()).describe('Variables to include in visualization'), + title: z.string().describe('Visualization title'), + description: z.string().optional().describe('Description of what the visualization shows'), + usePython: z.boolean().optional().describe('Use Python/matplotlib. Default: true'), + useAICustom: z.boolean().optional().describe('Use AI to generate custom Python visualization code. Default: false'), + dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), + visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), + options: z.object({ + timeUnits: z.string().optional(), + timeRange: z.object({ start: z.number(), end: z.number() }).optional(), + highlightPeriods: z.array(z.object({ + start: z.number(), + end: z.number(), + label: z.string(), + color: z.string().optional() + })).optional(), + width: z.number().optional(), + height: z.number().optional(), + customRequirements: z.string().optional().describe('Additional requirements for AI visualization') + }).optional() + }), + handler: async ({ type, data, variables, title, description, usePython, useAICustom, dataDescription, visualizationGoal, options }) => { + try { + const vizOptions = { + ...options, + title, + description, + usePython, + useAICustom, + dataDescription, + visualizationGoal + }; + + // VisualizationEngine now returns just base64 image string + const base64Image = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); + + // Generate visualization ID + const visualizationId = `viz_${Date.now()}_${Math.random().toString(36).substring(7)}`; + + // Wrap base64 string in proper visualization message object + const vizMessage = { + type: 'visualization', + sessionId: sessionId, + visualizationId, + title: title || 'Visualization', + format: 'image', + data: { + encoding: 'base64', + mimeType: 'image/png', + content: base64Image, + width: 800, + height: 600 + }, + timestamp: new Date().toISOString() + }; + + // Add description if provided + if (description) { + vizMessage.description = description; + } + + // Send visualization to client + await sendToClient(vizMessage); + + return { + content: [{ + type: 'text', + text: `Created ${useAICustom ? 'AI-custom' : type || 'time_series'} visualization: "${title}" and sent to client` + }] + }; + } catch (error) { + logger.debug('Visualization error:', error); + return { + content: [{ type: 'text', text: `Failed to create visualization: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js new file mode 100644 index 00000000..0005544e --- /dev/null +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -0,0 +1,105 @@ +import { z } from 'zod'; +import { SDModelSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { callSeldonILEEngine } from '../../utilities/EngineWrapper.js'; +import { generateRequestId } from './toolHelpers.js'; + +/** + * Have a user-friendly discussion about the model without jargon, with ability to compare runs + */ +export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Have a user-friendly discussion about the model without jargon, with the ability to compare and explain differences between simulation runs. Use this to understand what causes behavioral differences across runs - analyzing how different scenarios or parameter changes produce different outcomes by examining the underlying feedback loop dynamics.', + inputSchema: z.object({ + prompt: z.string().describe('Question or topic for discussion'), + model: SDModelSchema.describe('The model to discuss'), + runName: z.string().optional().describe('Simulation run ID for context'), + feedbackContent: z.object({}).passthrough().optional().describe('Feedback loop analysis data'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + behaviorContent: z.string().optional().describe('Time series behavior data') + }).optional() + }), + handler: async ({ prompt, model, runName, feedbackContent, parameters }) => { + try { + // Add feedbackContent to parameters if provided + const engineParams = { + ...parameters, + ...(feedbackContent && { feedbackContent }) + }; + + const result = await callSeldonILEEngine(prompt, model, runName, engineParams); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Check if feedback information is required but not provided + if (result.output.feedbackInformationRequired && !feedbackContent) { + // Get comparative feedback information from client (all runs) + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + // Send request to client for comparative feedback data (empty array means all runs) + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + // Retry the call with comparative feedback information + const retryParams = { + ...parameters, + feedbackContent: feedbackData.feedbackContent + }; + + const retryResult = await callSeldonILEEngine(prompt, model, runName, retryParams); + + if (!retryResult.success) { + return { + content: [{ type: 'text', text: `Error: ${retryResult.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(retryResult.output, null, 2) + }] + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result.output, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js new file mode 100644 index 00000000..cd704eaa --- /dev/null +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -0,0 +1,93 @@ +import { z } from 'zod'; +import { SDModelSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { callSeldonEngine } from '../../utilities/EngineWrapper.js'; +import { generateRequestId } from './toolHelpers.js'; + +/** + * Have an expert-level discussion about the model using System Dynamics terminology + */ +export function createDiscussModelWithSeldonTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Have an expert-level discussion about the model using System Dynamics terminology. Use this for technical analysis and SD theory discussions.', + inputSchema: z.object({ + prompt: z.string().describe('Question or topic for discussion'), + model: SDModelSchema.describe('The model to discuss'), + feedbackLoops: z.array(z.any()).optional().describe('Feedback loop analysis data'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + behaviorContent: z.string().optional().describe('Time series behavior data') + }).optional() + }), + handler: async ({ prompt, model, feedbackLoops, parameters }) => { + try { + const result = await callSeldonEngine(prompt, model, feedbackLoops, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Check if feedback information is required but not provided + if (result.output.feedbackInformationRequired && !feedbackLoops) { + // Get feedback information from client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + // Send request to client for feedback data (empty array means all runs) + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + // Retry the call with feedback information + const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent.loops, parameters); + + if (!retryResult.success) { + return { + content: [{ type: 'text', text: `Error: ${retryResult.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(retryResult.output, null, 2) + }] + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result.output, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js new file mode 100644 index 00000000..862223e6 --- /dev/null +++ b/agent/tools/builtin/discussWithMentor.js @@ -0,0 +1,45 @@ +import { z } from 'zod'; +import { SDModelSchema } from '../../utilities/MessageProtocol.js'; +import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; + +/** + * Ask thoughtful questions to the user to guide their learning + */ +export function createDiscussWithMentorTool() { + return { + description: 'Ask thoughtful questions to the user to guide their learning and help them think through System Dynamics concepts. Use this to engage users in Socratic dialogue about their model.', + inputSchema: z.object({ + prompt: z.string().describe('The question or guidance to provide to the user'), + model: SDModelSchema.describe('The model being discussed'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM') + }).optional() + }), + handler: async ({ prompt, model, parameters }) => { + try { + const result = await callSeldonMentorEngine(prompt, model, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result.output, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js new file mode 100644 index 00000000..84e5c237 --- /dev/null +++ b/agent/tools/builtin/generateDocumentation.js @@ -0,0 +1,69 @@ +import { z } from 'zod'; +import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { callDocumentationEngine } from '../../utilities/EngineWrapper.js'; +import { generateRequestId } from './toolHelpers.js'; + +/** + * Auto-generate documentation for model variables + */ +export function createGenerateDocumentationTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Auto-generate documentation for model variables including descriptions and polarity.', + inputSchema: z.object({ + model: SDModelSchema.describe('The model to document'), + parameters: z.object({ + model: z.string().optional() + }).optional() + }), + handler: async ({ model, parameters }) => { + try { + const result = await callDocumentationEngine(model, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Automatically push the generated model to the client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + await updatePromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + model: result.model, + supportingInfo: result.supportingInfo + }, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js new file mode 100644 index 00000000..2f0a4028 --- /dev/null +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -0,0 +1,46 @@ +import { z } from 'zod'; +import { SDModelSchema } from '../../utilities/MessageProtocol.js'; +import { callLTMEngine } from '../../utilities/EngineWrapper.js'; + +/** + * Generate a narrative explanation of feedback loops and their influence on model behavior + */ +export function createGenerateLtmNarrativeTool() { + return { + description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', + inputSchema: z.object({ + model: SDModelSchema.describe('The model to analyze'), + feedbackLoops: z.array(z.any()).describe('Feedback loop analysis data'), + parameters: z.object({ + model: z.string().optional() + }).optional() + }), + handler: async ({ model, feedbackLoops, parameters }) => { + try { + const result = await callLTMEngine(model, feedbackLoops, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + feedbackLoops: result.feedbackLoops, + output: result.output + }, null, 2) + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js new file mode 100644 index 00000000..b14e4abe --- /dev/null +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -0,0 +1,76 @@ +import { z } from 'zod'; +import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { callQualitativeEngine } from '../../utilities/EngineWrapper.js'; +import { generateRequestId } from './toolHelpers.js'; + +/** + * Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships + */ +export function createGenerateQualitativeModelTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships. Use this for conceptual models focusing on system structure. Automatically pushes the generated model to the client.', + inputSchema: z.object({ + prompt: z.string().describe('Description of the model to generate'), + currentModel: SDModelSchema.optional().describe('Existing model to build upon'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM') + }).optional() + }), + handler: async ({ prompt, currentModel, parameters }) => { + try { + const result = await callQualitativeEngine(prompt, currentModel, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Automatically push the generated model to the client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + await updatePromise; + + // Build response + const responseText = JSON.stringify({ + model: result.model, + supportingInfo: result.supportingInfo, + pushedToClient: true + }, null, 2); + + return { + content: [{ + type: 'text', + text: responseText + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js new file mode 100644 index 00000000..42ce17c0 --- /dev/null +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -0,0 +1,90 @@ +import { z } from 'zod'; +import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { callQuantitativeEngine } from '../../utilities/EngineWrapper.js'; +import { generateRequestId } from './toolHelpers.js'; +import config from '../../../config.js'; + +/** + * Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure + */ +export function createGenerateQuantitativeModelTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure. Use this for building computational models that can be simulated. Automatically pushes the generated model to the client.', + inputSchema: z.object({ + prompt: z.string().describe('Description of the model to generate'), + currentModel: SDModelSchema.optional().describe('Existing model to build upon'), + parameters: z.object({ + model: z.string().optional(), + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + supportsArrays: z.boolean().optional().describe('Whether client supports arrayed models'), + supportsModules: z.boolean().optional().describe('Whether client supports modules') + }).optional() + }), + handler: async ({ prompt, currentModel, parameters }) => { + try { + // Check if model exceeds token limit - if so, refuse to call this tool + if (sessionManager.modelExceedsTokenLimit(sessionId)) { + return { + content: [{ + type: 'text', + text: `Error: Cannot use generate_quantitative_model when the model exceeds the token limit (${config.maxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` + }], + isError: true + }; + } + + const result = await callQuantitativeEngine(prompt, currentModel, parameters); + + if (!result.success) { + return { + content: [{ type: 'text', text: `Error: ${result.error}` }], + isError: true + }; + } + + // Automatically push the generated model to the client + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); + + // Wait for client confirmation + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); + }); + + await updatePromise; + + // Build response + const responseText = JSON.stringify({ + model: result.model, + supportingInfo: result.supportingInfo, + pushedToClient: true + }, null, 2); + + return { + content: [{ + type: 'text', + text: responseText + }] + }; + } catch (error) { + return { + content: [{ type: 'text', text: `Error: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/getFeedbackInformation.js b/agent/tools/builtin/getFeedbackInformation.js new file mode 100644 index 00000000..2aa79a76 --- /dev/null +++ b/agent/tools/builtin/getFeedbackInformation.js @@ -0,0 +1,61 @@ +import { z } from 'zod'; +import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { generateRequestId } from './toolHelpers.js'; +import logger from '../../../utilities/logger.js'; + +/** + * Request feedback loop analysis data from the client + */ +export function createGetFeedbackInformationTool(sessionManager, sessionId, sendToClient) { + return { + description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Provide a list of run IDs to get feedback for.', + inputSchema: z.object({ + runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for') + }), + handler: async ({ runIds }) => { + try { + // Create a promise that will be resolved when client responds + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + // Send request to client for feedback data + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, runIds)); + + // Create pending request that will be resolved when client responds + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + // Store the resolver in session so it can be called when client responds + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + return { + content: [{ + type: 'text', + text: JSON.stringify({ + feedbackContent: feedbackData.feedbackContent, + runIds: feedbackData.runIds + }, null, 2) + }] + }; + } catch (error) { + logger.error('get_feedback_information error:', error); + return { + content: [{ type: 'text', text: `Failed to get feedback information: ${error.message}` }], + isError: true + }; + } + } + }; +} diff --git a/agent/tools/builtin/index.js b/agent/tools/builtin/index.js new file mode 100644 index 00000000..2cc457fe --- /dev/null +++ b/agent/tools/builtin/index.js @@ -0,0 +1,29 @@ +/** + * Built-in Tools Index + * Exports all built-in tool creation functions + */ + +// Tool creation functions +export { createGenerateQuantitativeModelTool } from './generateQuantitativeModel.js'; +export { createGenerateQualitativeModelTool } from './generateQualitativeModel.js'; +export { createDiscussModelWithSeldonTool } from './discussModelWithSeldon.js'; +export { createDiscussModelAcrossRunsTool } from './discussModelAcrossRuns.js'; +export { createGenerateDocumentationTool } from './generateDocumentation.js'; +export { createGenerateLtmNarrativeTool } from './generateLtmNarrative.js'; +export { createDiscussWithMentorTool } from './discussWithMentor.js'; +export { createGetFeedbackInformationTool } from './getFeedbackInformation.js'; +export { + createGetCurrentModelTool, + createUpdateModelTool, + createRunModelTool, + createGetRunInfoTool, + createGetVariableDataTool +} from './clientInteractionTools.js'; +export { createVisualizationTool } from './createVisualization.js'; +export { + createReadModelSectionTool, + createEditModelSectionTool +} from './largeModelTools.js'; + +// Helper utilities +export { generateRequestId, createErrorResponse } from './toolHelpers.js'; diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js new file mode 100644 index 00000000..1f6c5f93 --- /dev/null +++ b/agent/tools/builtin/largeModelTools.js @@ -0,0 +1,567 @@ +import { z } from 'zod'; +import { readFileSync, writeFileSync, existsSync } from 'fs'; +import { join } from 'path'; +import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import logger from '../../../utilities/logger.js'; +import { generateRequestId, createErrorResponse } from './toolHelpers.js'; + +/** + * Read a specific section of the large model file + */ +export function createReadModelSectionTool(sessionManager, sessionId) { + return { + description: `Read a specific section of the large model file. Use this to inspect parts of the model without loading the entire thing. + +Available sections: +- specs: simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). + * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] + * All four fields (type, name, size, elements) are required for each dimension + * type="numeric": elements auto-generated as ['1','2','3'...] + * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] +- variables: array of variables with schema: {name, type (stock|flow|variable), equation, documentation, units, uniflow, inflows, outflows, dimensions, arrayEquations, crossLevelGhostOf, graphicalFunction} +- relationships: array of relationships with schema: {from, to, polarity (+|-|""), reasoning, polarityReasoning} +- modules: module hierarchy with schema: {name, parentModule}. IMPORTANT: The modules array only defines the hierarchical structure (which modules exist and their parent-child relationships). It does NOT tell you which variables belong to a module - variable membership is determined by the variable name prefix (e.g., "Finance.revenue" belongs to the Finance module). + +Module handling: +- In modular models, variable names are module-qualified as "Module_Name.variable_name" +- To find variables in a module, use the moduleName filter (filters by name prefix) +- The modules section only shows the module hierarchy, not the contents + +Array handling: +- Variables with the "dimensions" field are arrayed variables +- Array dimensions must be defined in specs.arrayDimensions BEFORE being referenced by variables +- Each dimension requires all four fields: type, name, size, elements +- Element-specific equations are in the "arrayEquations" field + +Filtering: +- variableNames filter matches base names (e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost") +- moduleName filter gets all variables from a specific module (by name prefix) +- usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores)`, + inputSchema: z.object({ + section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to read'), + filter: z.object({ + variableNames: z.array(z.string()).optional().describe('Filter variables by base name (matches both qualified and unqualified names, e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost")'), + variableType: z.enum(['stock', 'flow', 'variable']).optional().describe('Filter variables by type'), + moduleName: z.string().optional().describe('Filter variables by module (e.g., "Module_Name" - variable names are module-qualified as Module_Name.variable_name)'), + usedInEquation: z.string().optional().describe('Find variables whose equations reference this variable (case-insensitive). Searches in both equation and arrayEquations fields.'), + relationshipFrom: z.string().optional().describe('Filter relationships by source variable'), + relationshipTo: z.string().optional().describe('Filter relationships by target variable'), + limit: z.number().optional().describe('Limit number of results returned (default: 500)') + }).optional().describe('Optional filters for variables/relationships/modules') + }), + handler: async ({ section, filter }) => { + try { + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + if (!existsSync(modelPath)) { + return createErrorResponse('Error: Model file not found. The model may not have exceeded the token limit yet.', null, logger); + } + + const modelContent = readFileSync(modelPath, 'utf-8'); + const model = JSON.parse(modelContent); + + const limit = filter?.limit || 500; + let result = {}; + + switch (section) { + case 'specs': + result = model.specs || {}; + break; + + case 'variables': + let variables = model.variables || []; + + // Apply filters (case-insensitive) + if (filter?.variableNames && filter.variableNames.length > 0) { + const lowerFilterNames = filter.variableNames.map(name => name.toLowerCase()); + variables = variables.filter(v => { + const lowerName = v.name.toLowerCase(); + if (lowerFilterNames.includes(lowerName)) { + return true; + } + const baseName = v.name.includes('.') ? v.name.split('.').pop() : v.name; + return lowerFilterNames.includes(baseName.toLowerCase()); + }); + } + if (filter?.variableType) { + variables = variables.filter(v => v.type === filter.variableType); + } + if (filter?.moduleName) { + const modulePrefix = filter.moduleName.toLowerCase() + '.'; + variables = variables.filter(v => v.name.toLowerCase().startsWith(modulePrefix)); + } + if (filter?.usedInEquation) { + const searchTerm = filter.usedInEquation.replace(/ /g, '_').toLowerCase(); + variables = variables.filter(v => { + if (v.equation && v.equation.toLowerCase().includes(searchTerm)) { + return true; + } + if (v.arrayEquations && Array.isArray(v.arrayEquations)) { + return v.arrayEquations.some(ae => + ae.equation && ae.equation.toLowerCase().includes(searchTerm) + ); + } + return false; + }); + } + + const total = variables.length; + variables = variables.slice(0, limit); + + variables = variables.map(v => ({ + ...v, + name: v.name.replace(/ /g, '_') + })); + + result = { + variables, + total, + returned: variables.length, + truncated: total > limit + }; + break; + + case 'relationships': + let relationships = model.relationships || []; + + if (filter?.relationshipFrom) { + relationships = relationships.filter(r => r.from === filter.relationshipFrom); + } + if (filter?.relationshipTo) { + relationships = relationships.filter(r => r.to === filter.relationshipTo); + } + + const totalRels = relationships.length; + relationships = relationships.slice(0, limit); + + result = { + relationships, + total: totalRels, + returned: relationships.length, + truncated: totalRels > limit + }; + break; + + case 'modules': + let modules = model.modules || []; + + if (filter?.moduleName) { + modules = modules.filter(m => m.name === filter.moduleName); + } + + result = { + modules, + total: modules.length + }; + break; + } + + return { + content: [{ + type: 'text', + text: JSON.stringify(result, null, 2) + }] + }; + } catch (error) { + return createErrorResponse(`Failed to read model section: ${error.message}`, error, logger); + } + } + }; +} + +/** + * Edit a specific section of the large model file + */ +export function createEditModelSectionTool(sessionManager, sessionId, sendToClient) { + return { + description: `Edit a specific section of the large model file. This allows you to modify parts of the model without loading the entire thing. + +You can edit: +- specs: Update simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). + * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] + * CRITICAL: All four fields (type, name, size, elements) are REQUIRED for each dimension + * type="numeric": elements auto-generated as ['1','2','3'...] based on size + * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] + * When updating arrayDimensions, provide the COMPLETE array with all dimensions (it replaces the entire array) +- variables: Add, update, or remove specific variables. + * Variable Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?} + * For ADD operation: Array of variable objects + Example: [{name: "Population", type: "stock", equation: "1000"}, {name: "births", type: "flow", equation: "Population*0.1"}] + * For UPDATE operation: Single variable object with name field (required) and fields to update + Example: {name: "Population", equation: "2000", documentation: "Total population"} + * For REMOVE operation: Array of variable name strings + Example: ["Population", "births", "deaths"] +- relationships: Add, update, or remove relationships. + * Relationship Schema: {from, to, polarity (+|-|""), reasoning?, polarityReasoning?} + * For ADD operation: Array of relationship objects + Example: [{from: "births", to: "Population", polarity: "+"}, {from: "deaths", to: "Population", polarity: "-"}] + * For UPDATE operation: Single relationship object with from and to fields (required to identify which relationship to update) + Example: {from: "births", to: "Population", polarity: "+", reasoning: "More births increase population"} + * For REMOVE operation: Array of {from, to} objects identifying relationships to remove + Example: [{from: "births", to: "Population"}, {from: "deaths", to: "Population"}] +- modules: Add, update, or remove modules. + * Module Schema: {name, parentModule} where parentModule is null for root modules or a string module name for child modules + * For ADD operation: Array of module objects + Example: [{name: "Demographics", parentModule: null}, {name: "Births", parentModule: "Demographics"}] + * For UPDATE operation: Complete array of all module objects (replaces entire module hierarchy) + Example: [{name: "Demographics", parentModule: null}, {name: "Births", parentModule: "Demographics"}] + * For REMOVE operation: Array of module name strings + Example: ["Births", "Deaths"] + * IMPORTANT: Modules array only defines hierarchy, NOT contents. Variable membership is by name prefix. + +VARIABLE RENAMING: +- To rename a variable, use update operation with {name: "OldName", newName: "NewName"} +- The tool will automatically update ALL equations that reference the old variable name +- This includes equations in ALL variables across ALL modules +- References are updated case-insensitively using XMILE format (with underscores) + +CRITICAL MODULE RULES: +- Variable names use ONLY their immediate owning module as prefix: "ModuleName.variableName" +- NEVER use full hierarchy path in variable names (WRONG: "Company.Sales.revenue", CORRECT: "Sales.revenue") +- Variables are qualified ONLY by their direct parent module, never by ancestor modules +- Cross-module references require ghost variables: use "crossLevelGhostOf" field pointing to source variable +- Ghost variables have empty equation field (equation = "") + +CRITICAL EQUATION RULES: +- XMILE naming: Replace all spaces with underscores in variable references (e.g., "birth_rate" not "birth rate") +- Every variable MUST have either 'equation' OR 'arrayEquations' (never both, never neither) +- NEVER embed numerical constants directly in equations - create separate named variables for constants +- Stock-flow constraint: A flow can NEVER appear in BOTH inflows AND outflows of the same stock + +CRITICAL ARRAY RULES: +- Array dimensions MUST be defined in specs.arrayDimensions BEFORE being referenced by variables +- Each dimension requires ALL FOUR fields: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), elements (array of element names) +- For arrayed variables, set "dimensions" field to array of dimension names that reference specs.arrayDimensions +- If all elements use SAME formula: provide 'equation' only +- If elements have DIFFERENT formulas: provide 'arrayEquations' for ALL elements (omit 'equation') +- For arrayed STOCKS: ALWAYS use 'arrayEquations' to specify initial values for each element +- SUM function syntax: ALWAYS use asterisk (*) for dimension being summed, NEVER the dimension name + * WRONG: SUM(Revenue[region]) + * CORRECT: SUM(Revenue[*]) + * CRITICAL: Every SUM equation MUST contain at least one asterisk (*) + +After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, + inputSchema: z.object({ + section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to edit'), + operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), + data: z.union([ + // For specs update - object with optional spec fields + z.object({ + startTime: z.number().optional(), + stopTime: z.number().optional(), + dt: z.number().optional(), + timeUnits: z.string().optional(), + arrayDimensions: z.array(z.object({ + type: z.enum(['numeric', 'labels']), + name: z.string(), + size: z.number().positive(), + elements: z.array(z.string()) + })).optional() + }), + // For variables add - array of variables + z.array(z.object({ + name: z.string(), + type: z.enum(['stock', 'flow', 'variable']), + equation: z.string().optional(), + documentation: z.string().optional(), + units: z.string().optional(), + uniflow: z.boolean().optional(), + inflows: z.array(z.string()).optional(), + outflows: z.array(z.string()).optional(), + dimensions: z.array(z.string()).optional(), + arrayEquations: z.array(z.any()).optional(), + crossLevelGhostOf: z.string().optional(), + graphicalFunction: z.any().optional() + })), + // For variables update - single variable object with name (required) + z.object({ + name: z.string(), + newName: z.string().optional(), + type: z.enum(['stock', 'flow', 'variable']).optional(), + equation: z.string().optional(), + documentation: z.string().optional(), + units: z.string().optional(), + uniflow: z.boolean().optional(), + inflows: z.array(z.string()).optional(), + outflows: z.array(z.string()).optional(), + dimensions: z.array(z.string()).optional(), + arrayEquations: z.array(z.any()).optional(), + crossLevelGhostOf: z.string().optional(), + graphicalFunction: z.any().optional() + }), + // For variables remove - array of strings + z.array(z.string()), + // For relationships add - array of relationships + z.array(z.object({ + from: z.string(), + to: z.string(), + polarity: z.enum(['+', '-', '']).optional(), + reasoning: z.string().optional(), + polarityReasoning: z.string().optional() + })), + // For relationships update - single relationship object with from/to (required) + z.object({ + from: z.string(), + to: z.string(), + polarity: z.enum(['+', '-', '']).optional(), + reasoning: z.string().optional(), + polarityReasoning: z.string().optional() + }), + // For relationships remove - array of {from, to} objects + z.array(z.object({ + from: z.string(), + to: z.string() + })), + // For modules add/update - array of modules + z.array(z.object({ + name: z.string(), + parentModule: z.string().nullable() + })) + ]).describe('The data for the operation. Format depends on section and operation - see description for details.') + }), + handler: async ({ section, operation, data }) => { + // Centralized error handler + const handleError = (errorMessage, error = null) => { + return createErrorResponse(errorMessage, error, logger); + }; + + try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + if (!existsSync(modelPath)) { + return handleError('Error: Model file not found. The model may not have exceeded the token limit yet.'); + } + + const modelContent = readFileSync(modelPath, 'utf-8'); + const model = JSON.parse(modelContent); + + // Perform the edit operation + switch (section) { + case 'specs': + if (operation === 'update') { + model.specs = model.specs || {}; + if (data.startTime !== undefined) model.specs.startTime = data.startTime; + if (data.stopTime !== undefined) model.specs.stopTime = data.stopTime; + if (data.dt !== undefined) model.specs.dt = data.dt; + if (data.timeUnits !== undefined) model.specs.timeUnits = data.timeUnits; + + if (data.arrayDimensions !== undefined) { + if (Array.isArray(data.arrayDimensions)) { + for (const dim of data.arrayDimensions) { + if (!dim.type || !dim.name || dim.size === undefined || !Array.isArray(dim.elements)) { + return handleError(`Error: Array dimension "${dim.name || 'unknown'}" is missing required fields. All dimensions must have: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), and elements (array of element names).`); + } + if (dim.type !== 'numeric' && dim.type !== 'labels') { + return handleError(`Error: Array dimension "${dim.name}" has invalid type "${dim.type}". Must be "numeric" or "labels".`); + } + if (typeof dim.size !== 'number' || dim.size <= 0) { + return handleError(`Error: Array dimension "${dim.name}" size must be a positive integer, got: ${dim.size}`); + } + if (dim.elements.length !== dim.size) { + return handleError(`Error: Array dimension "${dim.name}" has size=${dim.size} but elements array has ${dim.elements.length} items. They must match.`); + } + } + } + model.specs.arrayDimensions = data.arrayDimensions; + } + } + break; + + case 'variables': + model.variables = model.variables || []; + if (operation === 'add') { + // Data must be an array of variable objects + if (!Array.isArray(data)) { + return handleError('Error: For variables add operation, data must be an array of variable objects. Example: [{name: "var1", type: "stock", equation: "100"}]'); + } + const varsToAdd = data; + const errors = []; + for (let i = 0; i < varsToAdd.length; i++) { + const v = varsToAdd[i]; + const varLabel = varsToAdd.length > 1 ? `Variable ${i + 1} (${v.name || 'unnamed'})` : `Variable "${v.name || 'unnamed'}"`; + + if (!v.name || !v.type) { + errors.push(`${varLabel}: Missing required fields. Must have "name" and "type".`); + } else if (!['stock', 'flow', 'variable'].includes(v.type)) { + errors.push(`${varLabel}: Invalid type "${v.type}". Must be "stock", "flow", or "variable".`); + } + } + + if (errors.length > 0) { + return handleError(`Error adding ${varsToAdd.length} variable(s):\n\n${errors.join('\n')}\n\nProvide an array of variable objects: [{name: "var1", type: "stock", equation: "100"}, {name: "var2", type: "variable", equation: "20"}]`); + } + + model.variables.push(...varsToAdd); + } else if (operation === 'update') { + const varName = data.name; + if (!varName) { + return handleError('Error: Must specify "name" field to update a variable'); + } + const index = model.variables.findIndex(v => v.name === varName); + if (index >= 0) { + const oldVariable = model.variables[index]; + const oldName = oldVariable.name; + + const isRenamed = data.newName && data.newName !== oldName; + + if (isRenamed) { + const newName = data.newName; + const oldNameXMILE = oldName.replace(/ /g, '_'); + const newNameXMILE = newName.replace(/ /g, '_'); + + const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); + + for (const variable of model.variables) { + if (variable.equation && varRegex.test(variable.equation)) { + variable.equation = variable.equation.replace(varRegex, newNameXMILE); + } + + if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { + for (const ae of variable.arrayEquations) { + if (ae.equation && varRegex.test(ae.equation)) { + ae.equation = ae.equation.replace(varRegex, newNameXMILE); + } + } + } + } + + data.name = newName; + delete data.newName; + } + + model.variables[index] = { ...model.variables[index], ...data }; + } else { + return handleError(`Error: Variable "${varName}" not found`); + } + } else if (operation === 'remove') { + if (!Array.isArray(data)) { + return handleError('Error: For variables remove operation, data must be an array of variable name strings. Example: ["var1", "var2"]'); + } + model.variables = model.variables.filter(v => !data.includes(v.name)); + } + break; + + case 'relationships': + model.relationships = model.relationships || []; + if (operation === 'add') { + if (!Array.isArray(data)) { + return handleError('Error: For relationships add operation, data must be an array of relationship objects. Example: [{from: "var1", to: "var2", polarity: "+"}]'); + } + const relsToAdd = data; + for (const r of relsToAdd) { + if (!r.from || !r.to) { + return handleError('Error: Relationships must have "from" and "to" fields'); + } + if (r.polarity !== undefined && !['+', '-', ''].includes(r.polarity)) { + return handleError(`Error: Relationship polarity must be "+", "-", or "", got "${r.polarity}"`); + } + } + model.relationships.push(...relsToAdd); + } else if (operation === 'update') { + if (!data.from || !data.to) { + return handleError('Error: Must specify "from" and "to" fields to update a relationship'); + } + const index = model.relationships.findIndex(r => r.from === data.from && r.to === data.to); + if (index >= 0) { + model.relationships[index] = { ...model.relationships[index], ...data }; + } else { + return handleError(`Error: Relationship from "${data.from}" to "${data.to}" not found`); + } + } else if (operation === 'remove') { + if (!Array.isArray(data)) { + return handleError('Error: For relationships remove operation, data must be an array of {from, to} objects. Example: [{from: "var1", to: "var2"}]'); + } + model.relationships = model.relationships.filter(r => + !data.some(rem => rem.from === r.from && rem.to === r.to) + ); + } + break; + + case 'modules': + model.modules = model.modules || []; + if (operation === 'update') { + if (!Array.isArray(data)) { + return handleError('Error: For modules update operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'); + } + for (const m of data) { + if (!m.name || m.parentModule === undefined) { + return handleError('Error: Modules must have "name" and "parentModule" fields'); + } + } + model.modules = data; + } else if (operation === 'add') { + if (!Array.isArray(data)) { + return handleError('Error: For modules add operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'); + } + for (const m of data) { + if (!m.name || m.parentModule === undefined) { + return handleError('Error: Modules must have "name" and "parentModule" fields'); + } + } + model.modules.push(...data); + } else if (operation === 'remove') { + if (!Array.isArray(data)) { + return handleError('Error: For modules remove operation, data must be an array of module name strings. Example: ["Module1", "Module2"]'); + } + model.modules = model.modules.filter(m => !data.includes(m.name)); + } + break; + } + + const modelType = session.modelType; + + if (modelType !== 'sfd') { + return handleError('Error: Model editing is only supported for quantitative (SFD) models'); + } + + const supportsArrays = session.context?.supportsArrays || false; + const supportsModules = session.context?.supportsModules || false; + + if (!model.variables || !Array.isArray(model.variables)) { + return handleError('Model validation failed: model.variables must be an array.'); + } + + if (!model.relationships || !Array.isArray(model.relationships)) { + return handleError('Model validation failed: model.relationships must be an array.'); + } + + writeFileSync(modelPath, JSON.stringify(model, null, 2)); + logger.log(`Model written to: ${modelPath}`); + + const updateRequestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, updateRequestId, model)); + + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(updateRequestId, { resolve, reject, timeout }); + }); + + await updatePromise; + + sessionManager.updateClientModel(sessionId, model); + + return { + content: [{ + type: 'text', + text: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.` + }] + }; + } catch (error) { + return handleError(`Failed to edit model section: ${error.message}`, error); + } + } + }; +} diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js new file mode 100644 index 00000000..1e491621 --- /dev/null +++ b/agent/tools/builtin/toolHelpers.js @@ -0,0 +1,29 @@ +/** + * Helper utilities shared across built-in tools + */ + +/** + * Generate a unique request ID for async operations + * @param {string} prefix - Prefix for the request ID (e.g., 'feedback', 'tool') + * @returns {string} Unique request ID + */ +export function generateRequestId(prefix = 'request') { + return `${prefix}_${Date.now()}_${Math.random().toString(36).substring(7)}`; +} + +/** + * Create a standardized error response + * @param {string} errorMessage - The error message to return + * @param {Error} error - Optional error object for logging + * @param {Object} logger - Logger instance + * @returns {Object} Standardized error response + */ +export function createErrorResponse(errorMessage, error = null, logger = null) { + if (error && logger) { + logger.debug('Tool error:', error); + } + return { + content: [{ type: 'text', text: errorMessage }], + isError: true + }; +} diff --git a/config.js b/config.js index eff7a0c2..f1024078 100644 --- a/config.js +++ b/config.js @@ -9,6 +9,7 @@ const config = { "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "maxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 8192, // Maximum tokens before switching to file-based editing + "maxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 100000, // Maximum tokens for conversation history sent to Claude API }; export default config \ No newline at end of file diff --git a/utilities/ZodToStructuredOutputConverter.js b/utilities/ZodToStructuredOutputConverter.js index 858c62fe..6230dda5 100644 --- a/utilities/ZodToStructuredOutputConverter.js +++ b/utilities/ZodToStructuredOutputConverter.js @@ -31,6 +31,10 @@ export class ZodToStructuredOutputConverter { // For Claude's structured outputs, optional fields are handled via the 'required' array // in the parent object, not via a 'nullable' property return this.convert(zodSchema._def.innerType); + case 'ZodNullable': + // For nullable types, we unwrap the inner type + // Nullability is handled by making the field optional in the parent object + return this.convert(zodSchema._def.innerType); case 'ZodDefault': // For ZodDefault, we ignore the default value and just convert the inner type // Default values are handled by the application logic, not the schema @@ -162,6 +166,23 @@ export class ZodToStructuredOutputConverter { }; } + // For complex unions (multiple types), use anyOf + // This allows Claude to accept any of the union types + const anyOfSchemas = options.map(option => this.convert(option)); + + // If all schemas are objects or arrays, use anyOf + const hasComplexTypes = anyOfSchemas.some(schema => + schema.type === 'object' || schema.type === 'array' + ); + + if (hasComplexTypes) { + return { + anyOf: anyOfSchemas, + description: def.description || 'One of the following types' + }; + } + + // Fallback for other cases logger.warn('Complex union types not fully supported, defaulting to string'); return { type: 'string' }; } From fab9a593dd21afe30134016587cafda5b62ffcdf Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 21 Apr 2026 22:55:35 -0400 Subject: [PATCH 022/226] bump the size of models edited with standard tools -- stop truncating tool calls --- agent/AgentOrchestrator.js | 59 +------------------------------------- config.js | 2 +- 2 files changed, 2 insertions(+), 59 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 9205589e..2af8775e 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -409,14 +409,13 @@ export class AgentOrchestrator { this.removeOldModelsFromMessages(messages); } - // Add tool_result (truncated if too large) const messageIndex = messages.length; messages.push({ role: 'user', content: [{ type: 'tool_result', tool_use_id: block.id, - content: this.truncateToolResult(toolResult, block.name) + content: toolResult }] }); @@ -567,62 +566,6 @@ export class AgentOrchestrator { this.modelResultIndices = []; } - /** - * Truncate large tool results to prevent context overflow - * @param {Object} toolResult - The tool result object - * @param {string} toolName - Name of the tool - * @returns {string} Truncated result suitable for conversation context - */ - truncateToolResult(toolResult, toolName) { - const resultStr = JSON.stringify(toolResult); - const tokenCount = countTokens(resultStr); - const MAX_TOOL_RESULT_TOKENS = 10000; - - // If result is small enough, return as-is - if (tokenCount <= MAX_TOOL_RESULT_TOKENS) { - return resultStr; - } - - // For large results, check if it's a model - let isModelResult = false; - let model = null; - - if (toolResult.content && Array.isArray(toolResult.content)) { - const firstContent = toolResult.content[0]; - if (firstContent && firstContent.type === 'text') { - try { - const parsedContent = JSON.parse(firstContent.text); - if (parsedContent.model || parsedContent.variables) { - isModelResult = true; - model = parsedContent.model || parsedContent; - } - } catch (e) { - // Not JSON, not a model result - } - } - } - - // For large model results, return a summary - if (isModelResult && model) { - logger.log(`Tool result for ${toolName} is ${tokenCount} tokens, truncating to summary`); - const summary = { - type: 'text', - text: `[Large model result truncated for context - ${tokenCount} tokens]\n\nModel summary:\n- Variables: ${model.variables?.length || 0}\n- Relationships: ${model.relationships?.length || 0}\n- Modules: ${model.modules?.length || 0}\n- Specs: ${model.specs ? 'present' : 'absent'}\n\nThe full model has been sent to the client and is available via read_model_section tool.` - }; - return JSON.stringify({ content: [summary] }); - } - - // Generic truncation for other large results - logger.log(`Tool result for ${toolName} is ${tokenCount} tokens, truncating to summary`); - const truncated = { - content: [{ - type: 'text', - text: `[Result truncated - original was ${tokenCount} tokens]\n\n${resultStr.substring(0, 2000)}...\n\n[Truncated]` - }] - }; - return JSON.stringify(truncated); - } - /** * Execute a tool call (built-in or client tool) */ diff --git a/config.js b/config.js index f1024078..2f8b7a40 100644 --- a/config.js +++ b/config.js @@ -8,7 +8,7 @@ const config = { "websocketPort": 3000, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) - "maxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 8192, // Maximum tokens before switching to file-based editing + "maxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 100000, // Maximum tokens before switching to file-based editing "maxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 100000, // Maximum tokens for conversation history sent to Claude API }; From a502e66de2825dafd02cbb490dd9621ce329893b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 01:05:47 -0400 Subject: [PATCH 023/226] Cleanup and simply code/naming is more accurate --- agent/AgentOrchestrator.js | 250 +++++----- agent/config/myrddin.md | 4 +- agent/tools/BuiltInToolProvider.js | 113 +++++ agent/tools/BuiltInTools.js | 101 ---- ...icToolServer.js => DynamicToolProvider.js} | 26 +- agent/tools/builtin/clientInteractionTools.js | 82 +--- agent/tools/builtin/createVisualization.js | 15 +- agent/tools/builtin/discussModelAcrossRuns.js | 31 +- agent/tools/builtin/discussModelWithSeldon.js | 31 +- agent/tools/builtin/discussWithMentor.js | 18 +- agent/tools/builtin/generateDocumentation.js | 25 +- agent/tools/builtin/generateLtmNarrative.js | 24 +- .../tools/builtin/generateQualitativeModel.js | 23 +- .../builtin/generateQuantitativeModel.js | 33 +- agent/tools/builtin/getFeedbackInformation.js | 22 +- agent/tools/builtin/largeModelTools.js | 22 +- agent/tools/builtin/toolHelpers.js | 19 +- agent/utilities/MessageProtocol.js | 57 ++- engines/qualitative/QualitativeEngineBrain.js | 15 +- .../quantitative/QuantitativeEngineBrain.js | 18 +- package-lock.json | 150 +----- package.json | 4 +- tests/agent/MessageProtocol.test.js | 2 +- .../ZodToStructuredOutputConverter.test.js | 445 ------------------ utilities/LLMWrapper.js | 10 +- utilities/StructuredOutputToZodConverter.js | 13 +- utilities/ZodToStructuredOutputConverter.js | 196 -------- 27 files changed, 467 insertions(+), 1282 deletions(-) create mode 100644 agent/tools/BuiltInToolProvider.js delete mode 100644 agent/tools/BuiltInTools.js rename agent/tools/{DynamicToolServer.js => DynamicToolProvider.js} (90%) delete mode 100644 tests/utilities/ZodToStructuredOutputConverter.test.js delete mode 100644 utilities/ZodToStructuredOutputConverter.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 2af8775e..59fc4a0f 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -4,8 +4,8 @@ import { countTokens } from '@anthropic-ai/tokenizer'; import { writeFileSync } from 'fs'; import { join } from 'path'; import { AgentConfigurationManager } from './utilities/AgentConfigurationManager.js'; -import { createBuiltInToolsServer, getBuiltInToolNames } from './tools/BuiltInTools.js'; -import { DynamicToolServer } from './tools/DynamicToolServer.js'; +import { BuiltInToolProvider } from './tools/BuiltInToolProvider.js'; +import { DynamicToolProvider } from './tools/DynamicToolProvider.js'; import { createAgentTextMessage, createToolCallNotificationMessage, @@ -13,7 +13,6 @@ import { createAgentCompleteMessage, createErrorMessage } from './utilities/MessageProtocol.js'; -import { ZodToStructuredOutputConverter } from '../utilities/ZodToStructuredOutputConverter.js'; import logger from '../utilities/logger.js'; import config from '../config.js'; @@ -36,23 +35,18 @@ export class AgentOrchestrator { this.sendToClient = sendToClient; this.stopRequested = false; - // Track indices of model results in message history for removal - this.modelResultIndices = []; - // Load configuration this.configManager = new AgentConfigurationManager(configPath); - // Create dynamic tool server - this.dynamicToolServer = new DynamicToolServer(sessionManager, sessionId, sendToClient); + // Create tool providers + this.builtInToolProvider = new BuiltInToolProvider(sessionManager, sessionId, sendToClient); + this.dynamicToolProvider = new DynamicToolProvider(sessionManager, sessionId, sendToClient); // Initialize Anthropic client this.anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); - // Initialize schema converter - this.schemaConverter = new ZodToStructuredOutputConverter(); - logger.log(`AgentOrchestrator initialized for session ${sessionId}`); } @@ -60,7 +54,7 @@ export class AgentOrchestrator { * Initialize with client tools */ initializeTools(clientTools) { - this.dynamicToolServer.updateTools(clientTools); + this.dynamicToolProvider.updateTools(clientTools); } /** @@ -83,17 +77,13 @@ export class AgentOrchestrator { const modelType = session.modelType; const systemPrompt = this.configManager.buildSystemPrompt(modelType); - // Get tool servers - const builtInTools = createBuiltInToolsServer( - this.sessionManager, - this.sessionId, - this.sendToClient - ); - const dynamicTools = this.dynamicToolServer.getMcpServer(); + // Get tool collections + const builtInTools = this.builtInToolProvider.getTools(); + const dynamicTools = this.dynamicToolProvider.getTools(); logger.log(`Starting conversation for session ${this.sessionId}`); - logger.log(`Built-in tools: ${getBuiltInToolNames().join(', ')}`); - logger.log(`Client tools: ${this.dynamicToolServer.getClientToolNames().join(', ')}`); + logger.log(`Built-in tools: ${this.builtInToolProvider.getToolNames().join(', ')}`); + logger.log(`Client tools: ${this.dynamicToolProvider.getToolNames().join(', ')}`); // Start agent conversation loop await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); @@ -169,8 +159,7 @@ export class AgentOrchestrator { while (continueLoop && iteration < maxIterations && !this.stopRequested) { iteration++; - // Limit message history to prevent context overflow based on token count - // Keep only recent messages that fit within token budget + // Limit message history to prevent context overflow using LLM summarization const MAX_CONTEXT_TOKENS = config.maxContextTokens; // Calculate current message history token count @@ -184,25 +173,39 @@ export class AgentOrchestrator { const firstMessage = messages[0]; const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); - let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens; - const keptMessages = [firstMessage]; + // Reserve space for first message and summary (estimate ~1000 tokens for summary) + const SUMMARY_TOKEN_ESTIMATE = 1000; + let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; + const keptRecentMessages = []; - // Add messages from most recent backwards until we hit the token budget + // Collect recent messages that fit in the remaining budget for (let i = messages.length - 1; i >= 1; i--) { const messageTokens = countTokens(JSON.stringify(messages[i])); if (remainingTokenBudget - messageTokens >= 0) { - keptMessages.unshift(messages[i]); // Add at beginning (after firstMessage) + keptRecentMessages.unshift(messages[i]); remainingTokenBudget -= messageTokens; } else { - // No more room, stop adding messages break; } } - messages = [firstMessage, ...keptMessages.slice(1)]; // Avoid duplicating firstMessage - const newTokenCount = countTokens(JSON.stringify(messages)); - logger.log(`Trimmed message history: ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount} tokens)`); + // If we kept all messages except first, no need to summarize + if (keptRecentMessages.length < messages.length - 1) { + // Get messages to summarize (everything between first and recent) + const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); + + if (messagesToSummarize.length > 0) { + // Create summary of old messages + const summaryMessage = await this.summarizeMessageHistory(messagesToSummarize); + + // Replace messages: [first, summary, ...recent] + messages.splice(0, messages.length, firstMessage, summaryMessage, ...keptRecentMessages); + + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Summarized message history: ${messages.length} messages (including summary), ${newTokenCount} tokens (saved ${currentTokens - newTokenCount} tokens)`); + } + } } try { @@ -403,26 +406,16 @@ export class AgentOrchestrator { input: block.input }); - // Check if this is a model result and remove old models if so - const isModelResult = this.isModelResult(toolResult); - if (isModelResult) { - this.removeOldModelsFromMessages(messages); - } - - const messageIndex = messages.length; + // Add tool_result following Claude's API requirements messages.push({ role: 'user', content: [{ type: 'tool_result', tool_use_id: block.id, - content: toolResult + content: typeof toolResult.content === 'string' ? toolResult.content : JSON.stringify(toolResult.content), + is_error: toolResult.isError || false }] }); - - // Track this message index if it's a model result - if (isModelResult) { - this.modelResultIndices.push(messageIndex); - } } } @@ -445,12 +438,82 @@ export class AgentOrchestrator { return response.stop_reason === 'max_tokens'; } + /** + * Summarize message history using LLM when it exceeds token limits + * @param {Array} messages - The messages array to summarize + * @returns {Promise} The summary message object + */ + async summarizeMessageHistory(messages) { + try { + // Create a concise representation of the conversation history for summarization + const conversationText = messages.map((msg) => { + if (msg.role === 'user') { + return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; + } else if (msg.role === 'assistant') { + // For assistant messages, extract text content and skip tool_use blocks + if (Array.isArray(msg.content)) { + const textContent = msg.content + .filter(block => block.type === 'text') + .map(block => block.text || block) + .join('\n'); + return textContent ? `Assistant: ${textContent}` : ''; + } + return `Assistant: ${msg.content}`; + } + return ''; + }).filter(line => line).join('\n\n'); + + // Use a fast, cheap model to create the summary + const summaryPrompt = `Please create a concise summary of the following conversation history. Focus on: +- The main task or goal the user requested +- Key decisions, findings, or results achieved +- Important context needed for continuing the conversation +- Current state of the work + +Keep the summary brief but informative (2-4 paragraphs maximum). + +Conversation history: +${conversationText}`; + + const summaryMessages = [ + { + role: 'user', + content: summaryPrompt + } + ]; + + // Use Anthropic API directly with a fast model + const response = await this.anthropic.messages.create({ + model: 'claude-haiku-4-5', // Fast, cheap model for summarization + max_tokens: 1024, + messages: summaryMessages + }); + + const summaryText = response.content[0].text; + + logger.log(`Created message history summary: ${summaryText.substring(0, 100)}...`); + + return { + role: 'user', + content: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` + }; + + } catch (error) { + logger.error('Error summarizing message history:', error); + // If summarization fails, return a basic summary + return { + role: 'user', + content: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' + }; + } + } + /** * Clean up message history at session initialization * Removes all but the most recent model and enforces token limits * @param {Array} messages - The messages array to clean */ - cleanupMessageHistory(messages) { + async cleanupMessageHistory(messages) { if (messages.length === 0) { return; } @@ -466,12 +529,12 @@ export class AgentOrchestrator { if (content.type === 'tool_result' && content.content) { try { const parsed = JSON.parse(content.content); - if (this.isModelResult(parsed)) { + if (parsed.model || parsed.variables) { modelIndices.push(i); break; // Only count this message once } } catch (e) { - // Not parseable, skip + // Not parseable or not a model result, skip } } } @@ -489,81 +552,54 @@ export class AgentOrchestrator { logger.log(`Kept most recent model, removed ${indicesToRemove.length} older model(s)`); } - // Now enforce token limits (this happens in the main loop, but do it here too for cleanup) + // Now enforce token limits using LLM summarization const MAX_CONTEXT_TOKENS = config.maxContextTokens; const messagesJson = JSON.stringify(messages); const currentTokens = countTokens(messagesJson); if (currentTokens > MAX_CONTEXT_TOKENS) { - logger.log(`Message history after cleanup still exceeds token limit: ${currentTokens} tokens (limit: ${MAX_CONTEXT_TOKENS})`); + logger.log(`Message history after cleanup exceeds token limit: ${currentTokens} tokens (limit: ${MAX_CONTEXT_TOKENS})`); // Keep the first message (user's initial request) for context const firstMessage = messages[0]; const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); - let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens; - const keptMessages = [firstMessage]; + // Reserve space for first message and summary (estimate ~1000 tokens for summary) + const SUMMARY_TOKEN_ESTIMATE = 1000; + let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; + const keptRecentMessages = []; - // Add messages from most recent backwards until we hit the token budget + // Collect recent messages that fit in the remaining budget for (let i = messages.length - 1; i >= 1; i--) { const messageTokens = countTokens(JSON.stringify(messages[i])); if (remainingTokenBudget - messageTokens >= 0) { - keptMessages.unshift(messages[i]); + keptRecentMessages.unshift(messages[i]); remainingTokenBudget -= messageTokens; } else { break; } } - // Replace messages array contents - messages.splice(0, messages.length, ...([firstMessage, ...keptMessages.slice(1)])); - const newTokenCount = countTokens(JSON.stringify(messages)); - logger.log(`Trimmed message history to fit token budget: ${messages.length} messages, ${newTokenCount} tokens`); - } - } - - /** - * Check if a tool result contains a model - * @param {Object} toolResult - The tool result object - * @returns {boolean} True if this is a model result - */ - isModelResult(toolResult) { - if (toolResult.content && Array.isArray(toolResult.content)) { - const firstContent = toolResult.content[0]; - if (firstContent && firstContent.type === 'text') { - try { - const parsedContent = JSON.parse(firstContent.text); - return !!(parsedContent.model || parsedContent.variables); - } catch (e) { - return false; - } + // If we kept all messages except first, no need to summarize + if (keptRecentMessages.length >= messages.length - 1) { + return; } - } - return false; - } - /** - * Remove old model results from messages array - * @param {Array} messages - The messages array to clean - */ - removeOldModelsFromMessages(messages) { - if (this.modelResultIndices.length === 0) { - return; // No old models to remove - } + // Get messages to summarize (everything between first and recent) + const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); - // Sort indices in descending order to remove from end first - const indicesToRemove = [...this.modelResultIndices].sort((a, b) => b - a); + if (messagesToSummarize.length > 0) { + // Create summary of old messages + const summaryMessage = await this.summarizeMessageHistory(messagesToSummarize); - for (const index of indicesToRemove) { - if (index < messages.length) { - messages.splice(index, 1); - logger.log(`Removed old model result from message history at index ${index}`); + // Replace messages: [first, summary, ...recent] + messages.splice(0, messages.length, firstMessage, summaryMessage, ...keptRecentMessages); + + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Summarized message history: ${messages.length} messages (including summary), ${newTokenCount} tokens (saved ${currentTokens - newTokenCount} tokens)`); } } - - // Clear the tracking array - this.modelResultIndices = []; } /** @@ -575,15 +611,13 @@ export class AgentOrchestrator { if (builtInTools.tools[toolUse.name]) { const handler = builtInTools.tools[toolUse.name].handler; const result = await handler(toolUse.input); - return { - content: result, - isError: result.isError || false - }; + // Handler already returns { content: [...], isError: bool } + return result; } // Check if it's a client tool - if (this.dynamicToolServer.isClientTool(toolUse.name)) { - const result = await this.dynamicToolServer.requestClientExecution( + if (this.dynamicToolProvider.isClientTool(toolUse.name)) { + const result = await this.dynamicToolProvider.requestClientExecution( toolUse.name, toolUse.input ); @@ -609,7 +643,7 @@ export class AgentOrchestrator { } /** - * Convert MCP tool servers to Anthropic tool format + * Convert tool servers to Anthropic tool format */ convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelExceedsLimit = false) { const tools = []; @@ -638,7 +672,7 @@ export class AgentOrchestrator { tools.push({ name: toolName, description: toolDef.description, - input_schema: this.schemaConverter.convert(toolDef.inputSchema) + input_schema: toolDef.inputSchema.toJSONSchema() }); } @@ -654,7 +688,7 @@ export class AgentOrchestrator { tools.push({ name: toolName, description: toolDef.description, - input_schema: this.schemaConverter.convert(toolDef.inputSchema) + input_schema: toolDef.inputSchema.toJSONSchema() }); } } @@ -673,8 +707,8 @@ export class AgentOrchestrator { */ getAgentCapabilities() { return { - builtInTools: getBuiltInToolNames(), - clientTools: this.dynamicToolServer.getClientToolNames() + builtInTools: this.builtInToolProvider.getToolNames(), + clientTools: this.dynamicToolProvider.getToolNames() }; } @@ -695,9 +729,9 @@ export class AgentOrchestrator { // Clear any references this.sessionManager = null; this.sendToClient = null; - this.dynamicToolServer = null; + this.builtInToolProvider = null; + this.dynamicToolProvider = null; this.anthropic = null; this.configManager = null; - this.schemaConverter = null; } } diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 41f88b37..c8d600db 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -120,7 +120,7 @@ Create analytical visualizations: 4. **validate_structure** Check dimensional consistency, conservation laws, boundary adequacy 5. **recommend_tests** - Suggest extreme conditions tests and sensitivity analysis + Suggest extreme conditions tests ### on_modification_request 1. **inspect_current_model** @@ -147,8 +147,6 @@ Create analytical visualizations: Tools: discuss_model_with_seldon 5. **interpret_results** Explain behavior in terms of feedback loop dominance and SD theory -6. **suggest_policy_tests** - Recommend policy experiments based on loop analysis ## Communication Style **Style:** direct, technical, efficient diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js new file mode 100644 index 00000000..964ee9af --- /dev/null +++ b/agent/tools/BuiltInToolProvider.js @@ -0,0 +1,113 @@ +import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; +import { + createGenerateQuantitativeModelTool, + createGenerateQualitativeModelTool, + createDiscussModelWithSeldonTool, + createDiscussModelAcrossRunsTool, + createGenerateDocumentationTool, + createGenerateLtmNarrativeTool, + createDiscussWithMentorTool, + createGetFeedbackInformationTool, + createGetCurrentModelTool, + createUpdateModelTool, + createRunModelTool, + createGetRunInfoTool, + createGetVariableDataTool, + createVisualizationTool, + createReadModelSectionTool, + createEditModelSectionTool +} from './builtin/index.js'; + +/** + * BuiltInToolProvider + * Provides all built-in SD-AI engine tools plus visualization + * + * Handles: + * - Providing all built-in SD-AI engine tools + * - Tool creation based on model size limits + * - Tool collection format for use with Anthropic SDK + * + * Tools provided: + * - generate_quantitative_model + * - generate_qualitative_model + * - discuss_model_with_seldon + * - discuss_model_across_runs + * - discuss_with_mentor + * - generate_documentation + * - generate_ltm_narrative + * - create_visualization + * - get_feedback_information + * - get_current_model + * - update_model + * - run_model + * - get_run_info + * - get_variable_data + * - read_model_section (for reading parts of large models) + * - edit_model_section (for editing parts of large models) + */ +export class BuiltInToolProvider { + constructor(sessionManager, sessionId, sendToClient) { + this.sessionManager = sessionManager; + this.sessionId = sessionId; + this.sendToClient = sendToClient; + this.vizEngine = new VisualizationEngine(sessionManager, sessionId); + } + + /** + * Create the tool collection with all built-in tools + */ + createToolCollection() { + return { + name: 'builtin_core_tools', + tools: { + generate_quantitative_model: createGenerateQuantitativeModelTool(this.sessionManager, this.sessionId, this.sendToClient), + generate_qualitative_model: createGenerateQualitativeModelTool(this.sessionManager, this.sessionId, this.sendToClient), + discuss_model_with_seldon: createDiscussModelWithSeldonTool(this.sessionManager, this.sessionId, this.sendToClient), + discuss_model_across_runs: createDiscussModelAcrossRunsTool(this.sessionManager, this.sessionId, this.sendToClient), + generate_documentation: createGenerateDocumentationTool(this.sessionManager, this.sessionId, this.sendToClient), + generate_ltm_narrative: createGenerateLtmNarrativeTool(), + discuss_with_mentor: createDiscussWithMentorTool(), + get_feedback_information: createGetFeedbackInformationTool(this.sessionManager, this.sessionId, this.sendToClient), + get_current_model: createGetCurrentModelTool(this.sessionManager, this.sessionId, this.sendToClient), + update_model: createUpdateModelTool(this.sessionManager, this.sessionId, this.sendToClient), + run_model: createRunModelTool(this.sessionManager, this.sessionId, this.sendToClient), + get_run_info: createGetRunInfoTool(this.sessionManager, this.sessionId, this.sendToClient), + get_variable_data: createGetVariableDataTool(this.sessionManager, this.sessionId, this.sendToClient), + create_visualization: createVisualizationTool(this.sessionManager, this.sessionId, this.sendToClient, this.vizEngine), + read_model_section: createReadModelSectionTool(this.sessionManager, this.sessionId), + edit_model_section: createEditModelSectionTool(this.sessionManager, this.sessionId, this.sendToClient) + } + }; + } + + /** + * Get the tool collection + */ + getTools() { + return this.createToolCollection(); + } + + /** + * Get list of built-in tool names + */ + getToolNames() { + return [ + 'generate_quantitative_model', + 'generate_qualitative_model', + 'discuss_model_with_seldon', + 'discuss_model_across_runs', + 'discuss_with_mentor', + 'generate_documentation', + 'generate_ltm_narrative', + 'get_feedback_information', + 'get_current_model', + 'update_model', + 'run_model', + 'get_run_info', + 'get_variable_data', + 'create_visualization', + 'read_model_section', + 'edit_model_section' + ]; + } +} diff --git a/agent/tools/BuiltInTools.js b/agent/tools/BuiltInTools.js deleted file mode 100644 index 7c14647d..00000000 --- a/agent/tools/BuiltInTools.js +++ /dev/null @@ -1,101 +0,0 @@ -import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; -import { - createGenerateQuantitativeModelTool, - createGenerateQualitativeModelTool, - createDiscussModelWithSeldonTool, - createDiscussModelAcrossRunsTool, - createGenerateDocumentationTool, - createGenerateLtmNarrativeTool, - createDiscussWithMentorTool, - createGetFeedbackInformationTool, - createGetCurrentModelTool, - createUpdateModelTool, - createRunModelTool, - createGetRunInfoTool, - createGetVariableDataTool, - createVisualizationTool, - createReadModelSectionTool, - createEditModelSectionTool -} from './builtin/index.js'; - -/** - * BuiltInTools - * Creates an MCP server with all SD-AI engine tools plus visualization - * - * Tools provided: - * - generate_quantitative_model - * - generate_qualitative_model - * - discuss_model_with_seldon - * - discuss_model_across_runs - * - discuss_with_mentor - * - generate_documentation - * - generate_ltm_narrative - * - create_visualization - * - get_feedback_information - * - get_current_model - * - update_model - * - run_model - * - get_run_info - * - get_variable_data - * - read_model_section (for reading parts of large models) - * - edit_model_section (for editing parts of large models) - */ - -/** - * Create built-in tools MCP server - * - * Note: This is a placeholder for the actual MCP server creation - * The Claude Agent SDK's createSdkMcpServer will be used here - */ -export function createBuiltInToolsServer(sessionManager, sessionId, sendToClient) { - // For now, return a plain object with tool definitions - // This will be converted to an MCP server when integrating with Claude Agent SDK - - const vizEngine = new VisualizationEngine(sessionManager, sessionId); - - return { - name: 'builtin_core_tools', - tools: { - generate_quantitative_model: createGenerateQuantitativeModelTool(sessionManager, sessionId, sendToClient), - generate_qualitative_model: createGenerateQualitativeModelTool(sessionManager, sessionId, sendToClient), - discuss_model_with_seldon: createDiscussModelWithSeldonTool(sessionManager, sessionId, sendToClient), - discuss_model_across_runs: createDiscussModelAcrossRunsTool(sessionManager, sessionId, sendToClient), - generate_documentation: createGenerateDocumentationTool(sessionManager, sessionId, sendToClient), - generate_ltm_narrative: createGenerateLtmNarrativeTool(), - discuss_with_mentor: createDiscussWithMentorTool(), - get_feedback_information: createGetFeedbackInformationTool(sessionManager, sessionId, sendToClient), - get_current_model: createGetCurrentModelTool(sessionManager, sessionId, sendToClient), - update_model: createUpdateModelTool(sessionManager, sessionId, sendToClient), - run_model: createRunModelTool(sessionManager, sessionId, sendToClient), - get_run_info: createGetRunInfoTool(sessionManager, sessionId, sendToClient), - get_variable_data: createGetVariableDataTool(sessionManager, sessionId, sendToClient), - create_visualization: createVisualizationTool(sessionManager, sessionId, sendToClient, vizEngine), - read_model_section: createReadModelSectionTool(sessionManager, sessionId), - edit_model_section: createEditModelSectionTool(sessionManager, sessionId, sendToClient) - } - }; -} - -/** - * Get list of built-in tool names - */ -export function getBuiltInToolNames() { - return [ - 'generate_quantitative_model', - 'generate_qualitative_model', - 'discuss_model_with_seldon', - 'discuss_model_across_runs', - 'discuss_with_mentor', - 'generate_documentation', - 'generate_ltm_narrative', - 'get_feedback_information', - 'get_current_model', - 'update_model', - 'run_model', - 'get_run_info', - 'get_variable_data', - 'create_visualization', - 'read_model_section', - 'edit_model_section' - ]; -} diff --git a/agent/tools/DynamicToolServer.js b/agent/tools/DynamicToolProvider.js similarity index 90% rename from agent/tools/DynamicToolServer.js rename to agent/tools/DynamicToolProvider.js index 28ff5776..932e8937 100644 --- a/agent/tools/DynamicToolServer.js +++ b/agent/tools/DynamicToolProvider.js @@ -2,21 +2,21 @@ import { StructuredOutputToZodConverter } from '../../utilities/StructuredOutput import logger from '../../utilities/logger.js'; /** - * DynamicToolServer - * Creates an MCP server from client-registered tools + * DynamicToolProvider + * Provides tools from client-registered tool definitions * * Handles: - * - Converting client tool definitions to MCP format + * - Converting client tool definitions to tool collection format * - Proxying tool calls to client via WebSocket * - Waiting for client responses with timeout * - Special handling for get_current_model and update_model */ -export class DynamicToolServer { +export class DynamicToolProvider { constructor(sessionManager, sessionId, sendToClient) { this.sessionManager = sessionManager; this.sessionId = sessionId; this.sendToClient = sendToClient; - this.mcpServer = null; + this.toolCollection = null; // Initialize schema converter this.schemaConverter = new StructuredOutputToZodConverter(); @@ -34,16 +34,16 @@ export class DynamicToolServer { // Store registered tools session.registeredTools = clientTools; - // Create MCP server from client tools - this.mcpServer = this.createMcpServerFromClientTools(clientTools); + // Create tool collection from client tools + this.toolCollection = this.createToolCollectionFromClientTools(clientTools); logger.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => `client_${t.name}`).join(', ')}`); } /** - * Create MCP server from client tool definitions + * Create tool collection from client tool definitions */ - createMcpServerFromClientTools(clientTools) { + createToolCollectionFromClientTools(clientTools) { const tools = {}; for (const toolDef of clientTools) { @@ -181,16 +181,16 @@ export class DynamicToolServer { } /** - * Get the MCP server + * Get the tool collection */ - getMcpServer() { - return this.mcpServer; + getTools() { + return this.toolCollection; } /** * Get list of registered client tool names (with client_ prefix) */ - getClientToolNames() { + getToolNames() { const session = this.sessionManager.getSession(this.sessionId); return session?.registeredTools.map(t => `client_${t.name}`) || []; } diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index 502e3a66..affa019e 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -6,8 +6,7 @@ import { createGetRunInfoMessage, createGetVariableDataMessage } from '../../utilities/MessageProtocol.js'; -import { generateRequestId } from './toolHelpers.js'; -import logger from '../../../utilities/logger.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Get the current model from the client @@ -42,18 +41,9 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien const modelData = await resultPromise; - return { - content: [{ - type: 'text', - text: JSON.stringify(modelData, null, 2) - }] - }; + return createSuccessResponse(modelData); } catch (error) { - logger.error('get_current_model error:', error); - return { - content: [{ type: 'text', text: `Failed to get current model: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to get current model: ${error.message}`, error); } } }; @@ -94,18 +84,9 @@ export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { const result = await resultPromise; - return { - content: [{ - type: 'text', - text: JSON.stringify({ success: true, ...result }, null, 2) - }] - }; + return createSuccessResponse({ success: true, ...result }); } catch (error) { - logger.error('update_model error:', error); - return { - content: [{ type: 'text', text: `Failed to update model: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to update model: ${error.message}`, error); } } }; @@ -144,22 +125,13 @@ export function createRunModelTool(sessionManager, sessionId, sendToClient) { const result = await resultPromise; - return { - content: [{ - type: 'text', - text: JSON.stringify({ - runId: result.runId, - success: true, - ...result - }, null, 2) - }] - }; + return createSuccessResponse({ + runId: result.runId, + success: true, + ...result + }); } catch (error) { - logger.error('run_model error:', error); - return { - content: [{ type: 'text', text: `Failed to run model: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to run model: ${error.message}`, error); } } }; @@ -198,21 +170,12 @@ export function createGetRunInfoTool(sessionManager, sessionId, sendToClient) { const runInfo = await resultPromise; - return { - content: [{ - type: 'text', - text: JSON.stringify({ - runs: runInfo.runs || [], - count: runInfo.runs?.length || 0 - }, null, 2) - }] - }; + return createSuccessResponse({ + runs: runInfo.runs || [], + count: runInfo.runs?.length || 0 + }); } catch (error) { - logger.error('get_run_info error:', error); - return { - content: [{ type: 'text', text: `Failed to get run info: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to get run info: ${error.message}`, error); } } }; @@ -254,18 +217,9 @@ export function createGetVariableDataTool(sessionManager, sessionId, sendToClien const variableData = await resultPromise; - return { - content: [{ - type: 'text', - text: JSON.stringify(variableData, null, 2) - }] - }; + return createSuccessResponse(variableData); } catch (error) { - logger.error('get_variable_data error:', error); - return { - content: [{ type: 'text', text: `Failed to get variable data: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to get variable data: ${error.message}`, error); } } }; diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index 5d3337f7..c1632f2f 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import logger from '../../../utilities/logger.js'; +import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Create a data visualization and send it to the client @@ -82,18 +82,9 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu // Send visualization to client await sendToClient(vizMessage); - return { - content: [{ - type: 'text', - text: `Created ${useAICustom ? 'AI-custom' : type || 'time_series'} visualization: "${title}" and sent to client` - }] - }; + return createSuccessResponse(`Created ${useAICustom ? 'AI-custom' : type || 'time_series'} visualization: "${title}" and sent to client`); } catch (error) { - logger.debug('Visualization error:', error); - return { - content: [{ type: 'text', text: `Failed to create visualization: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to create visualization: ${error.message}`, error); } } }; diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index 0005544e..cb6fc715 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -1,7 +1,7 @@ import { z } from 'zod'; import { SDModelSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonILEEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Have a user-friendly discussion about the model without jargon, with ability to compare runs @@ -32,10 +32,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send const result = await callSeldonILEEngine(prompt, model, runName, engineParams); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } // Check if feedback information is required but not provided @@ -74,31 +71,15 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send const retryResult = await callSeldonILEEngine(prompt, model, runName, retryParams); if (!retryResult.success) { - return { - content: [{ type: 'text', text: `Error: ${retryResult.error}` }], - isError: true - }; + return createErrorResponse(retryResult.error); } - return { - content: [{ - type: 'text', - text: JSON.stringify(retryResult.output, null, 2) - }] - }; + return createSuccessResponse(retryResult.output); } - return { - content: [{ - type: 'text', - text: JSON.stringify(result.output, null, 2) - }] - }; + return createSuccessResponse(result.output); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index cd704eaa..aa696ce1 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -1,7 +1,7 @@ import { z } from 'zod'; import { SDModelSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Have an expert-level discussion about the model using System Dynamics terminology @@ -25,10 +25,7 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send const result = await callSeldonEngine(prompt, model, feedbackLoops, parameters); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } // Check if feedback information is required but not provided @@ -62,31 +59,15 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent.loops, parameters); if (!retryResult.success) { - return { - content: [{ type: 'text', text: `Error: ${retryResult.error}` }], - isError: true - }; + return createErrorResponse(retryResult.error); } - return { - content: [{ - type: 'text', - text: JSON.stringify(retryResult.output, null, 2) - }] - }; + return createSuccessResponse(retryResult.output); } - return { - content: [{ - type: 'text', - text: JSON.stringify(result.output, null, 2) - }] - }; + return createSuccessResponse(result.output); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index 862223e6..cbde1672 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -1,6 +1,7 @@ import { z } from 'zod'; import { SDModelSchema } from '../../utilities/MessageProtocol.js'; import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; +import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Ask thoughtful questions to the user to guide their learning @@ -22,23 +23,12 @@ export function createDiscussWithMentorTool() { const result = await callSeldonMentorEngine(prompt, model, parameters); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } - return { - content: [{ - type: 'text', - text: JSON.stringify(result.output, null, 2) - }] - }; + return createSuccessResponse(result.output); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js index 84e5c237..2a2d33c1 100644 --- a/agent/tools/builtin/generateDocumentation.js +++ b/agent/tools/builtin/generateDocumentation.js @@ -1,7 +1,7 @@ import { z } from 'zod'; import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callDocumentationEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Auto-generate documentation for model variables @@ -20,10 +20,7 @@ export function createGenerateDocumentationTool(sessionManager, sessionId, sendT const result = await callDocumentationEngine(model, parameters); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } // Automatically push the generated model to the client @@ -49,20 +46,12 @@ export function createGenerateDocumentationTool(sessionManager, sessionId, sendT await updatePromise; - return { - content: [{ - type: 'text', - text: JSON.stringify({ - model: result.model, - supportingInfo: result.supportingInfo - }, null, 2) - }] - }; + return createSuccessResponse({ + model: result.model, + supportingInfo: result.supportingInfo + }); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 2f0a4028..4eee76a6 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -1,6 +1,7 @@ import { z } from 'zod'; import { SDModelSchema } from '../../utilities/MessageProtocol.js'; import { callLTMEngine } from '../../utilities/EngineWrapper.js'; +import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Generate a narrative explanation of feedback loops and their influence on model behavior @@ -20,26 +21,15 @@ export function createGenerateLtmNarrativeTool() { const result = await callLTMEngine(model, feedbackLoops, parameters); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } - return { - content: [{ - type: 'text', - text: JSON.stringify({ - feedbackLoops: result.feedbackLoops, - output: result.output - }, null, 2) - }] - }; + return createSuccessResponse({ + feedbackLoops: result.feedbackLoops, + output: result.output + }); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index b14e4abe..1d65f24c 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -1,7 +1,7 @@ import { z } from 'zod'; import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callQualitativeEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships @@ -23,10 +23,7 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se const result = await callQualitativeEngine(prompt, currentModel, parameters); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } // Automatically push the generated model to the client @@ -53,23 +50,13 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se await updatePromise; // Build response - const responseText = JSON.stringify({ + return createSuccessResponse({ model: result.model, supportingInfo: result.supportingInfo, pushedToClient: true - }, null, 2); - - return { - content: [{ - type: 'text', - text: responseText - }] - }; + }); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index 42ce17c0..02349280 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -1,7 +1,7 @@ import { z } from 'zod'; import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callQuantitativeEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; /** @@ -25,22 +25,15 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s try { // Check if model exceeds token limit - if so, refuse to call this tool if (sessionManager.modelExceedsTokenLimit(sessionId)) { - return { - content: [{ - type: 'text', - text: `Error: Cannot use generate_quantitative_model when the model exceeds the token limit (${config.maxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` - }], - isError: true - }; + return createErrorResponse( + `Cannot use generate_quantitative_model when the model exceeds the token limit (${config.maxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` + ); } const result = await callQuantitativeEngine(prompt, currentModel, parameters); if (!result.success) { - return { - content: [{ type: 'text', text: `Error: ${result.error}` }], - isError: true - }; + return createErrorResponse(result.error); } // Automatically push the generated model to the client @@ -67,23 +60,13 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s await updatePromise; // Build response - const responseText = JSON.stringify({ + return createSuccessResponse({ model: result.model, supportingInfo: result.supportingInfo, pushedToClient: true - }, null, 2); - - return { - content: [{ - type: 'text', - text: responseText - }] - }; + }); } catch (error) { - return { - content: [{ type: 'text', text: `Error: ${error.message}` }], - isError: true - }; + return createErrorResponse(error.message); } } }; diff --git a/agent/tools/builtin/getFeedbackInformation.js b/agent/tools/builtin/getFeedbackInformation.js index 2aa79a76..c96b1c55 100644 --- a/agent/tools/builtin/getFeedbackInformation.js +++ b/agent/tools/builtin/getFeedbackInformation.js @@ -1,7 +1,6 @@ import { z } from 'zod'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; -import { generateRequestId } from './toolHelpers.js'; -import logger from '../../../utilities/logger.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Request feedback loop analysis data from the client @@ -40,21 +39,12 @@ export function createGetFeedbackInformationTool(sessionManager, sessionId, send const feedbackData = await resultPromise; - return { - content: [{ - type: 'text', - text: JSON.stringify({ - feedbackContent: feedbackData.feedbackContent, - runIds: feedbackData.runIds - }, null, 2) - }] - }; + return createSuccessResponse({ + feedbackContent: feedbackData.feedbackContent, + runIds: feedbackData.runIds + }); } catch (error) { - logger.error('get_feedback_information error:', error); - return { - content: [{ type: 'text', text: `Failed to get feedback information: ${error.message}` }], - isError: true - }; + return createErrorResponse(`Failed to get feedback information: ${error.message}`, error); } } }; diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 1f6c5f93..56e00e3c 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -2,8 +2,8 @@ import { z } from 'zod'; import { readFileSync, writeFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import logger from '../../../utilities/logger.js'; -import { generateRequestId, createErrorResponse } from './toolHelpers.js'; /** * Read a specific section of the large model file @@ -55,7 +55,7 @@ Filtering: const modelPath = join(sessionTempDir, 'model.sdjson'); if (!existsSync(modelPath)) { - return createErrorResponse('Error: Model file not found. The model may not have exceeded the token limit yet.', null, logger); + return createErrorResponse('Error: Model file not found. The model may not have exceeded the token limit yet.'); } const modelContent = readFileSync(modelPath, 'utf-8'); @@ -157,14 +157,9 @@ Filtering: break; } - return { - content: [{ - type: 'text', - text: JSON.stringify(result, null, 2) - }] - }; + return createSuccessResponse(result); } catch (error) { - return createErrorResponse(`Failed to read model section: ${error.message}`, error, logger); + return createErrorResponse(`Failed to read model section: ${error.message}`, error); } } }; @@ -323,7 +318,7 @@ After editing, the model is validated and processed through the quantitative eng handler: async ({ section, operation, data }) => { // Centralized error handler const handleError = (errorMessage, error = null) => { - return createErrorResponse(errorMessage, error, logger); + return createErrorResponse(errorMessage, error); }; try { @@ -553,12 +548,7 @@ After editing, the model is validated and processed through the quantitative eng sessionManager.updateClientModel(sessionId, model); - return { - content: [{ - type: 'text', - text: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.` - }] - }; + return createSuccessResponse(`Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.`); } catch (error) { return handleError(`Failed to edit model section: ${error.message}`, error); } diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index 1e491621..cd960b28 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -1,6 +1,7 @@ /** * Helper utilities shared across built-in tools */ +import logger from '../../../utilities/logger.js'; /** * Generate a unique request ID for async operations @@ -11,15 +12,27 @@ export function generateRequestId(prefix = 'request') { return `${prefix}_${Date.now()}_${Math.random().toString(36).substring(7)}`; } +/** + * Create a standardized success response + * @param {string|Object} result - The result to return (string or object to be stringified) + * @returns {Object} Standardized success response + */ +export function createSuccessResponse(result) { + const text = typeof result === 'string' ? result : JSON.stringify(result, null, 2); + return { + content: [{ type: 'text', text }], + isError: false + }; +} + /** * Create a standardized error response * @param {string} errorMessage - The error message to return * @param {Error} error - Optional error object for logging - * @param {Object} logger - Logger instance * @returns {Object} Standardized error response */ -export function createErrorResponse(errorMessage, error = null, logger = null) { - if (error && logger) { +export function createErrorResponse(errorMessage, error = null) { + if (error) { logger.debug('Tool error:', error); } return { diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index b2eb2324..fbeee679 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -12,16 +12,49 @@ import { z } from 'zod'; /** * SD-JSON Model Schema * Accepts any model structure (CLD or SFD) with minimal validation - * Uses passthrough to allow additional fields defined by LLMWrapper schemas + * Uses catchall to allow additional fields defined by LLMWrapper schemas */ +export const SDVariableSchema = z.object({ + name: z.string(), + type: z.enum(["stock", "flow", "variable"]) +}).catchall(z.any()); + +export const SDRelationshipSchema = z.object({ + from: z.string(), + to: z.string() +}).catchall(z.any()); + export const SDModelSchema = z.object({ - variables: z.array(z.any()).optional().describe('Array of variables in the model (stocks, flows, auxiliaries, or CLD nodes)'), - relationships: z.array(z.any()).optional().describe('Array of relationships between variables (links, flows, or causal connections)'), - specs: z.object({}).passthrough().optional().describe('Model specifications including simulation settings, time bounds, and units'), - modules: z.array(z.any()).optional().describe('Array of modules or subsystems within the model'), - explanation: z.string().optional().describe('Natural language explanation of the model purpose and structure'), - title: z.string().optional().describe('Human-readable title of the model') -}).passthrough().describe('SD-JSON model structure (CLD or SFD)'); + variables: z.array(SDVariableSchema).optional(), + relationships: z.array(SDRelationshipSchema).optional(), + specs: z.record(z.string(), z.any()).optional(), + modules: z.array(z.any()).optional(), + errors: z.array(z.any()).optional(), + explanation: z.string().optional(), + title: z.string().optional() +}).catchall(z.any()).describe('SD-JSON model structure (CLD or SFD)'); + +/** + * Feedback Content Schema + * Used for feedback loop analysis data + */ +export const FeedbackContentSchema = z.object({ + feedbackLoops: z.array(z.object({ + identifier: z.string(), + name: z.string(), + links: z.array(z.object({ + from: z.string(), + to: z.string(), + polarity: z.enum(['+', '-', '?']) + }).catchall(z.any())), + polarity: z.enum(['+', '-', '?']) + }).catchall(z.any())), + dominantLoopsByPeriod: z.array(z.object({ + dominantLoops: z.array(z.string()), + startTime: z.number(), + endTime: z.number() + })).optional() +}).catchall(z.any()).describe('Feedback loop analysis data including loops and optional dominant loops by period'); // ============================================================================ // CLIENT → SERVER MESSAGES @@ -32,7 +65,7 @@ export const ToolDefinitionSchema = z.object({ description: z.string().describe('Human-readable description of what the tool does'), inputSchema: z.object({ type: z.literal('object').describe('Schema type, must be "object"'), - properties: z.record(z.any()).describe('Map of parameter names to their schema definitions'), + properties: z.record(z.string(), z.any()).describe('Map of parameter names to their schema definitions'), required: z.array(z.string()).optional().describe('Array of required parameter names') }).describe('JSON Schema defining the tool input parameters') }); @@ -55,10 +88,10 @@ export const InitializeSessionMessageSchema = z.object({ clientProduct: z.string().describe('Client product name (e.g., "sd-web", "sd-desktop")'), clientVersion: z.string().describe('Client version (e.g., "1.0.0")'), modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), - model: SDModelSchema.describe('The initial model to work with'), + model: SDModelSchema, tools: z.array(ToolDefinitionSchema).describe('Array of client-side tools available for the agent to call'), historicalMessages: z.array(HistoricalMessageSchema).optional().describe('Optional array of historical messages from a previous session to provide context'), - context: z.record(z.any()).optional().describe('Optional context information (metadata, user preferences, etc.)'), + context: z.record(z.string(), z.any()).optional().describe('Optional context information (metadata, user preferences, etc.)'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); @@ -88,7 +121,7 @@ export const ToolCallResponseMessageSchema = z.object({ export const ModelUpdatedNotificationSchema = z.object({ type: z.literal('model_updated_notification').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), - model: SDModelSchema.describe('The updated model data'), + model: SDModelSchema, changeReason: z.string().describe('Human-readable explanation of why the model was updated'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); diff --git a/engines/qualitative/QualitativeEngineBrain.js b/engines/qualitative/QualitativeEngineBrain.js index 8866b9e2..3a7d581a 100644 --- a/engines/qualitative/QualitativeEngineBrain.js +++ b/engines/qualitative/QualitativeEngineBrain.js @@ -199,9 +199,9 @@ You will conduct a multistep process: responseFormat = undefined; } - let messages = [{ - role: systemRole, - content: systemPrompt + let messages = [{ + role: systemRole, + content: systemPrompt }]; if (this.#data.backgroundKnowledge) { @@ -217,6 +217,7 @@ You will conduct a multistep process: }); } + // Check if lastModel has actual content (relationships) if (lastModel && lastModel.relationships && lastModel.relationships.length > 0) { messages.push({ role: "assistant", content: JSON.stringify(lastModel.relationships, null, 2) }); @@ -239,6 +240,14 @@ You will conduct a multistep process: } async generateDiagram(userPrompt, lastModel) { + // Ensure lastModel is always defined as an empty model structure if undefined or null + if (!lastModel || typeof lastModel !== 'object') { + lastModel = { relationships: [] }; + } else { + // Ensure required array exists + lastModel.relationships = lastModel.relationships || []; + } + const llmParams = this.setupLLMParameters(userPrompt, lastModel); //get what it thinks the relationships are with this information diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index 49a11277..dd0b3f26 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -921,9 +921,9 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov throw new Error("Unsupported LLM " + this.#data.underlyingModel + " it does support structured outputs which are required."); } - let messages = [{ - role: systemRole, - content: systemPrompt + let messages = [{ + role: systemRole, + content: systemPrompt }]; if (this.#data.backgroundKnowledge) { @@ -939,7 +939,8 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov }); } - if (lastModel) { + // Check if lastModel has actual content (variables or relationships) + if (lastModel && (lastModel.variables?.length > 0 || lastModel.relationships?.length > 0)) { messages.push({ role: "assistant", content: JSON.stringify(lastModel, null, 2) }); if (this.#data.assistantPrompt) @@ -959,6 +960,15 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov } async generateModel(userPrompt, lastModel) { + // Ensure lastModel is always defined as an empty model structure if undefined or null + if (!lastModel || typeof lastModel !== 'object') { + lastModel = { variables: [], relationships: [] }; + } else { + // Ensure required arrays exist + lastModel.variables = lastModel.variables || []; + lastModel.relationships = lastModel.relationships || []; + } + const llmParams = this.setupLLMParameters(userPrompt, lastModel); //get what it thinks the relationships are with this information diff --git a/package-lock.json b/package-lock.json index 80730a43..7aa4c3e5 100644 --- a/package-lock.json +++ b/package-lock.json @@ -19,11 +19,11 @@ "js-tiktoken": "^1.0.19", "limiter": "^3.0.0", "marked": "^15.0.12", - "openai": "^4.73.1", + "openai": "^6.34.0", "prompts": "^2.4.2", "ws": "^8.18.0", "yargs": "^17.7.2", - "zod": "^3.24.1" + "zod": "^4.0.0" }, "devDependencies": { "dotenv": "^16.4.7", @@ -1622,15 +1622,6 @@ "undici-types": "~5.26.4" } }, - "node_modules/@types/node-fetch": { - "version": "2.6.12", - "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.12.tgz", - "integrity": "sha512-8nneRWKCg3rMtF69nLQJnOYUcbafYeFSjqkw3jCRLsqkWFlHaoQrr5mXmofFGOx3DKn7UfmBMyov8ySvLRVldA==", - "dependencies": { - "@types/node": "*", - "form-data": "^4.0.0" - } - }, "node_modules/@types/stack-utils": { "version": "2.0.3", "resolved": "https://registry.npmjs.org/@types/stack-utils/-/stack-utils-2.0.3.tgz", @@ -1908,17 +1899,6 @@ "win32" ] }, - "node_modules/abort-controller": { - "version": "3.0.0", - "resolved": "https://registry.npmjs.org/abort-controller/-/abort-controller-3.0.0.tgz", - "integrity": "sha512-h8lQ8tacZYnR3vNQTgibj+tODHI5/+l06Au2Pcriv/Gmet0eaj4TwWH41sO9wnHDiQsEj19q0drzdWdeAHtweg==", - "dependencies": { - "event-target-shim": "^5.0.0" - }, - "engines": { - "node": ">=6.5" - } - }, "node_modules/accepts": { "version": "1.3.8", "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz", @@ -1941,17 +1921,6 @@ "node": ">= 14" } }, - "node_modules/agentkeepalive": { - "version": "4.5.0", - "resolved": "https://registry.npmjs.org/agentkeepalive/-/agentkeepalive-4.5.0.tgz", - "integrity": "sha512-5GG/5IbQQpC9FpkRGsSvZI5QYeSCzlJHdpBQntCsuTOxhKD8lqKhrleg2Yi7yvMIf82Ycmmqln9U8V9qwEiJew==", - "dependencies": { - "humanize-ms": "^1.2.1" - }, - "engines": { - "node": ">= 8.0.0" - } - }, "node_modules/ansi-escapes": { "version": "4.3.2", "resolved": "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-4.3.2.tgz", @@ -2024,7 +1993,8 @@ "node_modules/asynckit": { "version": "0.4.0", "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz", - "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==" + "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==", + "dev": true }, "node_modules/babel-jest": { "version": "30.0.4", @@ -2734,6 +2704,7 @@ "version": "1.0.8", "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz", "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==", + "dev": true, "dependencies": { "delayed-stream": "~1.0.0" }, @@ -2910,6 +2881,7 @@ "version": "1.0.0", "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz", "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==", + "dev": true, "engines": { "node": ">=0.4.0" } @@ -3082,6 +3054,7 @@ "version": "2.1.0", "resolved": "https://registry.npmjs.org/es-set-tostringtag/-/es-set-tostringtag-2.1.0.tgz", "integrity": "sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==", + "dev": true, "license": "MIT", "dependencies": { "es-errors": "^1.3.0", @@ -3140,14 +3113,6 @@ "node": ">= 0.6" } }, - "node_modules/event-target-shim": { - "version": "5.0.1", - "resolved": "https://registry.npmjs.org/event-target-shim/-/event-target-shim-5.0.1.tgz", - "integrity": "sha512-i/2XbnSz/uxRCU6+NdVJgKWDTM427+MqYbkQzD321DuCQJUqOuJKIA0IM2+W2xtYHdKOmZ4dR6fExsd4SXL+WQ==", - "engines": { - "node": ">=6" - } - }, "node_modules/execa": { "version": "5.1.1", "resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz", @@ -3371,6 +3336,7 @@ "version": "4.0.4", "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.4.tgz", "integrity": "sha512-KrGhL9Q4zjj0kiUt5OO4Mr/A/jlI2jDYs5eHBpYHPcBEVSiipAvn2Ko2HnPe20rmcuuvMHNdZFp+4IlGTMF0Ow==", + "dev": true, "license": "MIT", "dependencies": { "asynckit": "^0.4.0", @@ -3383,23 +3349,6 @@ "node": ">= 6" } }, - "node_modules/form-data-encoder": { - "version": "1.7.2", - "resolved": "https://registry.npmjs.org/form-data-encoder/-/form-data-encoder-1.7.2.tgz", - "integrity": "sha512-qfqtYan3rxrnCk1VYaA4H+Ms9xdpPqvLZa6xmMgFvhO32x7/3J/ExcTd6qpxM0vH2GdMI+poehyBZvqfMTto8A==" - 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"integrity": "sha512-Fl70vYtsAFb/C06PTS9dZBo7ihau+Tu/DNCk/OyHhea07S+aeMWpFFkUaXRa8fI+ScZbEI8dfSxwY7gxZ9SAVQ==", - "dependencies": { - "ms": "^2.0.0" - } - }, "node_modules/iconv-lite": { "version": "0.4.24", "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz", @@ -5775,25 +5717,6 @@ "node": ">=10.5.0" } }, - "node_modules/node-fetch": { - "version": "2.7.0", - "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz", - "integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==", - "dependencies": { - "whatwg-url": "^5.0.0" - }, - "engines": { - "node": "4.x || >=6.0.0" - }, - "peerDependencies": { - "encoding": "^0.1.0" - }, - "peerDependenciesMeta": { - "encoding": { - "optional": true - } - } - }, "node_modules/node-int64": { "version": "0.4.0", "resolved": "https://registry.npmjs.org/node-int64/-/node-int64-0.4.0.tgz", @@ -5954,25 +5877,21 @@ } }, "node_modules/openai": { - "version": "4.73.1", - "resolved": "https://registry.npmjs.org/openai/-/openai-4.73.1.tgz", - "integrity": "sha512-nWImDJBcUsqrhy7yJScXB4+iqjzbUEgzfA3un/6UnHFdwWhjX24oztj69Ped/njABfOdLcO/F7CeWTI5dt8Xmg==", - "dependencies": { - "@types/node": "^18.11.18", - "@types/node-fetch": "^2.6.4", - "abort-controller": "^3.0.0", - "agentkeepalive": "^4.2.1", - "form-data-encoder": "1.7.2", - "formdata-node": "^4.3.2", - "node-fetch": "^2.6.7" - }, + "version": "6.34.0", + "resolved": "https://registry.npmjs.org/openai/-/openai-6.34.0.tgz", + "integrity": "sha512-yEr2jdGf4tVFYG6ohmr3pF6VJuveP0EA/sS8TBx+4Eq5NT10alu5zg2dmxMXMgqpihRDQlFGpRt2XwsGj+Fyxw==", + "license": "Apache-2.0", "bin": { "openai": "bin/cli" }, "peerDependencies": { - "zod": "^3.23.8" + "ws": "^8.18.0", + "zod": "^3.25 || ^4.0" }, "peerDependenciesMeta": { + "ws": { + "optional": true + }, "zod": { "optional": true } @@ -7003,11 +6922,6 @@ "nodetouch": "bin/nodetouch.js" } }, - "node_modules/tr46": { - "version": "0.0.3", - "resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz", - "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw==" - }, "node_modules/tslib": { "version": "2.8.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", @@ -7191,28 +7105,6 @@ "defaults": "^1.0.3" } }, - "node_modules/web-streams-polyfill": { - "version": "4.0.0-beta.3", - "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-4.0.0-beta.3.tgz", - "integrity": "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug==", - "engines": { - "node": ">= 14" - } - }, - "node_modules/webidl-conversions": { - "version": "3.0.1", - "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz", - "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==" - }, - "node_modules/whatwg-url": { - "version": "5.0.0", - "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz", - "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==", - "dependencies": { - "tr46": "~0.0.3", - "webidl-conversions": "^3.0.0" - } - }, "node_modules/which": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", @@ -7458,9 +7350,9 @@ } }, "node_modules/zod": { - "version": "3.25.76", - "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", - "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", + "version": "4.3.6", + "resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz", + "integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==", "license": "MIT", "funding": { "url": "https://github.com/sponsors/colinhacks" diff --git a/package.json b/package.json index 8fdd3413..db4c96aa 100644 --- a/package.json +++ b/package.json @@ -13,11 +13,11 @@ "js-tiktoken": "^1.0.19", "limiter": "^3.0.0", "marked": "^15.0.12", - "openai": "^4.73.1", + "openai": "^6.34.0", "prompts": "^2.4.2", "ws": "^8.18.0", "yargs": "^17.7.2", - "zod": "^3.24.1" + "zod": "^4.0.0" }, "scripts": { "postinstall": "bash third-party/install.sh", diff --git a/tests/agent/MessageProtocol.test.js b/tests/agent/MessageProtocol.test.js index b74d7c0e..b411c2ff 100644 --- a/tests/agent/MessageProtocol.test.js +++ b/tests/agent/MessageProtocol.test.js @@ -124,7 +124,7 @@ describe('MessageProtocol', () => { const message = { type: 'model_updated_notification', sessionId: 'test-123', - model: { variables: [{ name: 'X' }] }, + model: { variables: [{ name: 'X', type: 'stock' }] }, changeReason: 'User requested change' }; diff --git a/tests/utilities/ZodToStructuredOutputConverter.test.js b/tests/utilities/ZodToStructuredOutputConverter.test.js deleted file mode 100644 index 7934195b..00000000 --- a/tests/utilities/ZodToStructuredOutputConverter.test.js +++ /dev/null @@ -1,445 +0,0 @@ -import { z } from 'zod'; -import { ZodToStructuredOutputConverter } from '../../utilities/ZodToStructuredOutputConverter.js'; -import { LLMWrapper } from '../../utilities/LLMWrapper.js'; - -describe('ZodToStructuredOutputConverter', () => { - let converter; - let llmWrapper; - - beforeEach(() => { - converter = new ZodToStructuredOutputConverter(); - // Still need LLMWrapper for testing actual schema generation - llmWrapper = new LLMWrapper({ - openAIKey: 'test-key', - anthropicKey: 'test-claude-key', - googleKey: 'test-google-key' - }); - }); - - describe('basic type conversion', () => { - it('should convert ZodString to Gemini string schema', () => { - const zodSchema = z.string(); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string' - }); - }); - - it('should convert ZodString with description', () => { - const zodSchema = z.string().describe('Test description'); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string', - description: 'Test description' - }); - }); - - it('should convert ZodNumber to Gemini number schema', () => { - const zodSchema = z.number(); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'number' - }); - }); - - it('should convert ZodNumber with description', () => { - const zodSchema = z.number().describe('A test number'); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'number', - description: 'A test number' - }); - }); - - it('should convert ZodBoolean to Gemini boolean schema', () => { - const zodSchema = z.boolean(); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'boolean' - }); - }); - }); - - describe('array conversion', () => { - it('should convert ZodArray to Gemini array schema', () => { - const zodSchema = z.array(z.string()); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'array', - items: { - type: 'string' - } - }); - }); - - it('should convert ZodArray with description and constraints', () => { - const zodSchema = z.array(z.number()).min(1).max(10).describe('Array of numbers'); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'array', - items: { - type: 'number' - }, - description: 'Array of numbers', - minItems: 1, - maxItems: 10 - }); - }); - - it('should convert nested arrays', () => { - const zodSchema = z.array(z.array(z.string())); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'array', - items: { - type: 'array', - items: { - type: 'string' - } - } - }); - }); - }); - - describe('object conversion', () => { - it('should convert simple ZodObject to structured output schema', () => { - const zodSchema = z.object({ - name: z.string(), - age: z.number() - }); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'object', - properties: { - name: { type: 'string' }, - age: { type: 'number' } - }, - required: ['name', 'age'], - additionalProperties: false - }); - }); - - it('should convert ZodObject with optional properties', () => { - const zodSchema = z.object({ - name: z.string(), - age: z.number().optional(), - email: z.string().optional() - }); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'object', - properties: { - name: { type: 'string' }, - age: { type: 'number' }, - email: { type: 'string' } - }, - required: ['name'], - additionalProperties: false - }); - }); - - it('should convert ZodObject with description', () => { - const zodSchema = z.object({ - id: z.string() - }).describe('Test object'); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'object', - properties: { - id: { type: 'string' } - }, - required: ['id'], - additionalProperties: false, - description: 'Test object' - }); - }); - - it('should convert nested objects', () => { - const zodSchema = z.object({ - user: z.object({ - name: z.string(), - contact: z.object({ - email: z.string(), - phone: z.string().optional() - }) - }), - metadata: z.object({ - created: z.string(), - updated: z.string().optional() - }) - }); - - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'object', - properties: { - user: { - type: 'object', - properties: { - name: { type: 'string' }, - contact: { - type: 'object', - properties: { - email: { type: 'string' }, - phone: { type: 'string' } - }, - required: ['email'], - additionalProperties: false - } - }, - required: ['name', 'contact'], - additionalProperties: false - }, - metadata: { - type: 'object', - properties: { - created: { type: 'string' }, - updated: { type: 'string' } - }, - required: ['created'], - additionalProperties: false - } - }, - required: ['user', 'metadata'], - additionalProperties: false - }); - }); - }); - - describe('enum conversion', () => { - it('should convert ZodEnum to Gemini enum schema', () => { - const zodSchema = z.enum(['red', 'green', 'blue']); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string', - enum: ['red', 'green', 'blue'] - }); - }); - - it('should convert ZodEnum with description', () => { - const zodSchema = z.enum(['+', '-']).describe('Polarity enum'); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string', - enum: ['+', '-'], - description: 'Polarity enum' - }); - }); - }); - - describe('union and optional conversion', () => { - it('should convert ZodOptional by unwrapping to inner type', () => { - const zodSchema = z.string().optional(); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string' - }); - }); - - it('should convert ZodUnion with null by unwrapping to non-null type', () => { - const zodSchema = z.union([z.string(), z.null()]); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string' - }); - }); - - it('should convert ZodUnion of literals to enum', () => { - const zodSchema = z.union([z.literal('small'), z.literal('medium'), z.literal('large')]); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string', - enum: ['small', 'medium', 'large'] - }); - }); - - it('should convert ZodUnion of number literals to number enum', () => { - const zodSchema = z.union([z.literal(1), z.literal(2), z.literal(3)]); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'number', - enum: [1, 2, 3] - }); - }); - - it('should handle complex unions by defaulting to string', () => { - const zodSchema = z.union([z.string(), z.number()]); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string' - }); - }); - }); - - describe('literal conversion', () => { - it('should convert ZodLiteral string to enum with single value', () => { - const zodSchema = z.literal('fixed-value'); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'string', - enum: ['fixed-value'] - }); - }); - - it('should convert ZodLiteral number to enum with single value', () => { - const zodSchema = z.literal(42); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'number', - enum: [42] - }); - }); - }); - - describe('actual schema conversion tests', () => { - it('should convert generateQualitativeSDJSONResponseSchema', () => { - const zodSchema = llmWrapper.generateQualitativeSDJSONResponseSchema(); - const result = converter.convert(zodSchema); - - expect(result.type).toBe('object'); - expect(result.properties).toBeDefined(); - expect(result.properties.relationships).toBeDefined(); - expect(result.properties.relationships.type).toBe('array'); - expect(result.properties.relationships.items.type).toBe('object'); - expect(result.properties.relationships.items.properties.from.type).toBe('string'); - expect(result.properties.relationships.items.properties.to.type).toBe('string'); - expect(result.properties.relationships.items.properties.polarity).toEqual({ - type: 'string', - enum: ['+', '-'], - description: "There are two possible kinds of relationships. The first are relationships with positive polarity that are represented with a + symbol. In relationships with positive polarity (+) a change in the from variable causes a change in the same direction in the to variable. For example, in a relationship with positive polarity (+), a decrease in the from variable, would lead to a decrease in the to variable. The second kind of relationship are those with negative polarity that are represented with a - symbol. In relationships with negative polarity (-) a change in the from variable causes a change in the opposite direction in the to variable. For example, in a relationship with negative polarity (-) an increase in the from variable, would lead to a decrease in the to variable." - }); - expect(result.properties.explanation.type).toBe('string'); - expect(result.properties.title.type).toBe('string'); - expect(result.required).toContain('relationships'); - expect(result.required).toContain('explanation'); - expect(result.required).toContain('title'); - expect(result.additionalProperties).toBe(false); - }); - - it('should convert generateQuantitativeSDJSONResponseSchema', () => { - const zodSchema = llmWrapper.generateQuantitativeSDJSONResponseSchema(false); - const result = converter.convert(zodSchema); - - expect(result.type).toBe('object'); - expect(result.properties).toBeDefined(); - expect(result.properties.variables).toBeDefined(); - expect(result.properties.variables.type).toBe('array'); - expect(result.properties.variables.items.type).toBe('object'); - expect(result.properties.variables.items.properties.type.type).toBe('string'); - expect(result.properties.variables.items.properties.type.enum).toEqual(['stock', 'flow', 'variable']); - expect(result.properties.relationships).toBeDefined(); - expect(result.properties.specs).toBeDefined(); - expect(result.properties.specs.type).toBe('object'); - expect(result.properties.specs.properties.startTime.type).toBe('number'); - expect(result.properties.specs.properties.stopTime.type).toBe('number'); - expect(result.properties.specs.properties.dt.type).toBe('number'); - expect(result.properties.specs.properties.timeUnits.type).toBe('string'); - expect(result.required).toContain('variables'); - expect(result.required).toContain('relationships'); - expect(result.required).toContain('specs'); - expect(result.additionalProperties).toBe(false); - }); - - it('should convert generateLTMNarrativeResponseSchema', () => { - const zodSchema = llmWrapper.generateLTMNarrativeResponseSchema(); - const result = converter.convert(zodSchema); - - expect(result.type).toBe('object'); - expect(result.properties).toBeDefined(); - expect(result.properties.feedbackLoops).toBeDefined(); - expect(result.properties.feedbackLoops.type).toBe('array'); - expect(result.properties.feedbackLoops.items.type).toBe('object'); - expect(result.properties.feedbackLoops.items.properties.identifier.type).toBe('string'); - expect(result.properties.feedbackLoops.items.properties.name.type).toBe('string'); - expect(result.properties.feedbackLoops.items.properties.description.type).toBe('string'); - expect(result.properties.narrativeMarkdown.type).toBe('string'); - expect(result.required).toContain('feedbackLoops'); - expect(result.required).toContain('narrativeMarkdown'); - expect(result.additionalProperties).toBe(false); - }); - }); - - describe('edge cases', () => { - it('should handle null or undefined schema', () => { - expect(converter.convert(null)).toEqual({}); - expect(converter.convert(undefined)).toEqual({}); - }); - - it('should handle schema without _def', () => { - const invalidSchema = {}; - expect(converter.convert(invalidSchema)).toEqual({}); - }); - - it('should handle unsupported Zod types by defaulting to string', () => { - const mockSchema = { - _def: { - typeName: 'ZodUnsupported' - } - }; - - const result = converter.convert(mockSchema); - - expect(result).toEqual({ type: 'string' }); - }); - - it('should handle empty objects', () => { - const zodSchema = z.object({}); - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'object', - properties: {}, - required: [], - additionalProperties: false - }); - }); - - it('should handle arrays with constraints set to null', () => { - const zodSchema = z.array(z.string()); - // Mock the internal structure to simulate null constraints - zodSchema._def.minLength = null; - zodSchema._def.maxLength = null; - - const result = converter.convert(zodSchema); - - expect(result).toEqual({ - type: 'array', - items: { - type: 'string' - } - }); - }); - }); - - describe('converter functionality', () => { - it('should expose convert method as public API', () => { - expect(typeof converter.convert).toBe('function'); - }); - - it('should be a separate class from LLMWrapper', () => { - expect(converter).toBeInstanceOf(ZodToStructuredOutputConverter); - expect(converter).not.toBeInstanceOf(LLMWrapper); - }); - }); -}); \ No newline at end of file diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 95d7b2e9..ddf4aefa 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -3,7 +3,6 @@ import { GoogleGenAI } from "@google/genai"; import Anthropic from "@anthropic-ai/sdk"; import { z } from "zod"; import { zodResponseFormat } from "openai/helpers/zod"; -import { ZodToStructuredOutputConverter } from "./ZodToStructuredOutputConverter.js"; import { extractJsonFromContent } from "./jsonUtils.js"; export const ModelType = Object.freeze({ @@ -69,7 +68,6 @@ export class LLMWrapper { #openAIAPI = null; #geminiAPI = null; #anthropicAPI = null; - #zodToStructuredOutputConverter = new ZodToStructuredOutputConverter(); model = new ModelCapabilities(LLMWrapper.BUILD_DEFAULT_MODEL); @@ -656,12 +654,8 @@ export class LLMWrapper { } if (zodSchema) { - this.#zodToStructuredOutputConverter.setOptions({ - emitOptionalProperties: false - }); - config.responseMimeType = "application/json"; - config.responseJsonSchema = this.#zodToStructuredOutputConverter.convert(zodSchema); + config.responseJsonSchema = zodSchema.toJSONSchema(); } if (Object.keys(config).length > 0) { @@ -697,7 +691,7 @@ export class LLMWrapper { if (zodSchema) { completionParams.output_format = { type: "json_schema", - schema: this.#zodToStructuredOutputConverter.convert(zodSchema) + schema: zodSchema.toJSONSchema() }; } diff --git a/utilities/StructuredOutputToZodConverter.js b/utilities/StructuredOutputToZodConverter.js index 791fa140..760c079d 100644 --- a/utilities/StructuredOutputToZodConverter.js +++ b/utilities/StructuredOutputToZodConverter.js @@ -5,7 +5,7 @@ import logger from './logger.js'; * StructuredOutputToZodConverter * Converts JSON Schema (structured output format) to Zod schemas * - * This is the inverse of ZodToStructuredOutputConverter. + * This is the inverse of Zod's toJSONSchema() method. * Used primarily for converting client-registered tool schemas * (which come in JSON Schema format) to Zod schemas for validation. */ @@ -91,8 +91,13 @@ export class StructuredOutputToZodConverter { * @returns {import('zod').ZodString|import('zod').ZodEnum} Zod string or enum */ convertStringType(propDef) { - if (propDef.enum && propDef.enum.length > 0) { - return z.enum(propDef.enum); + if (propDef.enum && Array.isArray(propDef.enum) && propDef.enum.length > 0) { + // Zod v4 z.enum requires at least one value + // For safety, ensure we have at least one string value + const enumValues = propDef.enum.filter(v => typeof v === 'string'); + if (enumValues.length > 0) { + return z.enum(enumValues); + } } return z.string(); } @@ -118,6 +123,6 @@ export class StructuredOutputToZodConverter { if (propDef.properties) { return this.convertObjectSchema(propDef); } - return z.object({}).passthrough(); + return z.object({}).catchall(z.any()); } } diff --git a/utilities/ZodToStructuredOutputConverter.js b/utilities/ZodToStructuredOutputConverter.js deleted file mode 100644 index 6230dda5..00000000 --- a/utilities/ZodToStructuredOutputConverter.js +++ /dev/null @@ -1,196 +0,0 @@ -import logger from "./logger.js" - -export class ZodToStructuredOutputConverter { - #emitOptionalProperties = true; - - setOptions(parameters) { - this.#emitOptionalProperties = parameters?.emitOptionalProperties || true; - } - - convert(zodSchema) { - if (!zodSchema || !zodSchema._def) { - return {}; - } - - const zodType = zodSchema._def.typeName; - - switch (zodType) { - case 'ZodString': - return this.convertZodStringToStructuredOutput(zodSchema._def); - case 'ZodNumber': - return this.convertZodNumberToStructuredOutput(zodSchema._def); - case 'ZodBoolean': - return { type: 'boolean' }; - case 'ZodArray': - return this.convertZodArrayToStructuredOutput(zodSchema._def); - case 'ZodObject': - return this.convertZodObjectToStructuredOutput(zodSchema._def); - case 'ZodEnum': - return this.convertZodEnumToStructuredOutput(zodSchema._def); - case 'ZodOptional': - // For Claude's structured outputs, optional fields are handled via the 'required' array - // in the parent object, not via a 'nullable' property - return this.convert(zodSchema._def.innerType); - case 'ZodNullable': - // For nullable types, we unwrap the inner type - // Nullability is handled by making the field optional in the parent object - return this.convert(zodSchema._def.innerType); - case 'ZodDefault': - // For ZodDefault, we ignore the default value and just convert the inner type - // Default values are handled by the application logic, not the schema - return this.convert(zodSchema._def.innerType); - case 'ZodUnion': - return this.convertZodUnionToStructuredOutput(zodSchema._def); - case 'ZodLiteral': - return this.convertZodLiteralToStructuredOutput(zodSchema._def); - case 'ZodAny': - // ZodAny allows any value - we treat it as an object with no constraints - return { - type: 'object', - additionalProperties: true - }; - default: - logger.warn(`Unsupported Zod type: ${zodType}`); - return { type: 'string' }; - } - } - - convertZodStringToStructuredOutput(def) { - const schema = { type: 'string' }; - - if (def.description) { - schema.description = def.description; - } - - return schema; - } - - convertZodNumberToStructuredOutput(def) { - const schema = { type: 'number' }; - - if (def.description) { - schema.description = def.description; - } - - return schema; - } - - convertZodArrayToStructuredOutput(def) { - const schema = { - type: 'array', - items: this.convert(def.type) - }; - - if (def.description) { - schema.description = def.description; - } - - if (def.minLength !== null) { - schema.minItems = def.minLength.value; - } - - if (def.maxLength !== null) { - schema.maxItems = def.maxLength.value; - } - - return schema; - } - - convertZodObjectToStructuredOutput(def) { - const schema = { - type: 'object', - properties: {}, - required: [], - additionalProperties: false - }; - - if (def.description) { - schema.description = def.description; - } - - for (const [key, zodSchema] of Object.entries(def.shape())) { - schema.properties[key] = this.convert(zodSchema); - - if (this.#emitOptionalProperties) { - if (!zodSchema.isOptional()) { - schema.required.push(key); - } - } else { - // Make all fields required (optional fields will be nullable) - schema.required.push(key); - } - } - - return schema; - } - - convertZodEnumToStructuredOutput(def) { - const schema = { - type: 'string', - enum: def.values - }; - - if (def.description) { - schema.description = def.description; - } - - return schema; - } - - convertZodUnionToStructuredOutput(def) { - const options = def.options; - - // For nullable unions (T | null), just return the non-null type - // Claude handles nullability through the 'required' array in parent objects - if (options.length === 2 && options.some(opt => opt._def.typeName === 'ZodNull')) { - const nonNullOption = options.find(opt => opt._def.typeName !== 'ZodNull'); - return this.convert(nonNullOption); - } - - const enumValues = []; - let allLiterals = true; - - for (const option of options) { - if (option._def.typeName === 'ZodLiteral') { - enumValues.push(option._def.value); - } else { - allLiterals = false; - break; - } - } - - if (allLiterals && enumValues.length > 0) { - return { - type: typeof enumValues[0] === 'string' ? 'string' : 'number', - enum: enumValues - }; - } - - // For complex unions (multiple types), use anyOf - // This allows Claude to accept any of the union types - const anyOfSchemas = options.map(option => this.convert(option)); - - // If all schemas are objects or arrays, use anyOf - const hasComplexTypes = anyOfSchemas.some(schema => - schema.type === 'object' || schema.type === 'array' - ); - - if (hasComplexTypes) { - return { - anyOf: anyOfSchemas, - description: def.description || 'One of the following types' - }; - } - - // Fallback for other cases - logger.warn('Complex union types not fully supported, defaulting to string'); - return { type: 'string' }; - } - - convertZodLiteralToStructuredOutput(def) { - return { - type: typeof def.value === 'string' ? 'string' : 'number', - enum: [def.value] - }; - } -} \ No newline at end of file From 041e79dc4f45568376c33fc03d75c8a22feaf8c9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 01:18:39 -0400 Subject: [PATCH 024/226] fix visualization engine not generating PNGs --- agent/utilities/VisualizationEngine.js | 93 +++++++++++++++++--------- 1 file changed, 63 insertions(+), 30 deletions(-) diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index a092d729..e6a34194 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -101,8 +101,18 @@ export class VisualizationEngine { // 3. Execute Python script await this.executePythonScript(scriptPath); - // 4. Read generated image and return as base64 string only + // 4. Read generated image and validate it's a PNG const imageBuffer = readFileSync(outputPath); + + // Validate PNG signature (first 8 bytes: 89 50 4E 47 0D 0A 1A 0A) + if (imageBuffer.length < 8 || + imageBuffer[0] !== 0x89 || imageBuffer[1] !== 0x50 || + imageBuffer[2] !== 0x4E || imageBuffer[3] !== 0x47 || + imageBuffer[4] !== 0x0D || imageBuffer[5] !== 0x0A || + imageBuffer[6] !== 0x1A || imageBuffer[7] !== 0x0A) { + throw new Error('Generated file is not a valid PNG image'); + } + base64Image = imageBuffer.toString('base64'); } catch (err) { @@ -133,12 +143,12 @@ export class VisualizationEngine { const systemPrompt = `You are a Python matplotlib code generator. Generate working Python visualization code. Requirements: -- Use matplotlib with Agg backend +- Use matplotlib with Agg backend (set BEFORE importing pyplot) - Load JSON data and create the visualization -- Save to specified path as PNG with broadly-compatible settings +- Save as PNG with maximum compatibility for image display widgets - Include labels, titles, legends - Make it clear and professional -- Set white background for broad compatibility`; +- CRITICAL: Set opaque white backgrounds at ALL levels (figure, axes, and savefig)`; const userPrompt = `Generate Python code for this visualization: @@ -151,11 +161,12 @@ Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches, 300 D Data structure: JSON with 'time' array and variable arrays: ${variables.map(v => `'${v}'`).join(', ')} ${options.customRequirements ? `Requirements: ${options.customRequirements}\n` : ''} -IMPORTANT: -- Use matplotlib.use('Agg') -- Suppress warnings with warnings.filterwarnings('ignore') -- Set fig.set_facecolor('white') for broad compatibility -- Save with: plt.savefig(path, format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') +CRITICAL - Background settings (REQUIRED for proper display): +1. Import order: matplotlib.use('Agg') BEFORE import matplotlib.pyplot +2. Suppress warnings: warnings.filterwarnings('ignore') +3. After creating figure: fig.patch.set_facecolor('white') AND fig.patch.set_alpha(1.0) +4. For each axes: ax.set_facecolor('white') AND ax.patch.set_alpha(1.0) +5. Save with: plt.savefig(path, format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) Generate ONLY working Python code, no explanations.`; @@ -261,8 +272,18 @@ Generate ONLY working Python code, no explanations.`; // 3. Execute Python script await this.executePythonScript(scriptPath); - // 4. Read generated image and return as base64 string only + // 4. Read generated image and validate it's a PNG const imageBuffer = readFileSync(outputPath); + + // Validate PNG signature (first 8 bytes: 89 50 4E 47 0D 0A 1A 0A) + if (imageBuffer.length < 8 || + imageBuffer[0] !== 0x89 || imageBuffer[1] !== 0x50 || + imageBuffer[2] !== 0x4E || imageBuffer[3] !== 0x47 || + imageBuffer[4] !== 0x0D || imageBuffer[5] !== 0x0A || + imageBuffer[6] !== 0x1A || imageBuffer[7] !== 0x0A) { + throw new Error('Generated file is not a valid PNG image'); + } + base64Image = imageBuffer.toString('base64'); } catch (err) { @@ -330,10 +351,10 @@ ax.axvspan(${period.start}, ${period.end}, alpha=0.2, color='${period.color || ' `).join(''); return ` -import json -import matplotlib.pyplot as plt import matplotlib matplotlib.use('Agg') +import matplotlib.pyplot as plt +import json import warnings warnings.filterwarnings('ignore') @@ -341,9 +362,12 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -# Create figure with high-resolution settings +# Create figure with high-resolution settings and explicit white background fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) -fig.set_facecolor('white') +fig.patch.set_facecolor('white') +fig.patch.set_alpha(1.0) +ax.set_facecolor('white') +ax.patch.set_alpha(1.0) # Plot each variable ${variables.map((v, idx) => ` @@ -361,8 +385,8 @@ ax.grid(True, alpha=0.3) ${highlightPeriodsCode} plt.tight_layout() -# High-resolution PNG output -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') +# Save with explicit white background and no transparency +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) plt.close() print('Visualization saved') `.trim(); @@ -374,11 +398,11 @@ print('Visualization saved') generatePhasePortraitScript(dataPath, outputPath, variables, options) { const [xVar, yVar] = variables; return ` -import json -import matplotlib.pyplot as plt -import numpy as np import matplotlib matplotlib.use('Agg') +import matplotlib.pyplot as plt +import numpy as np +import json import warnings warnings.filterwarnings('ignore') @@ -386,7 +410,10 @@ with open('${dataPath}', 'r') as f: data = json.load(f) fig, ax = plt.subplots(figsize=(8, 6), dpi=300) -fig.set_facecolor('white') +fig.patch.set_facecolor('white') +fig.patch.set_alpha(1.0) +ax.set_facecolor('white') +ax.patch.set_alpha(1.0) time = np.array(data['time']) x = np.array(data['${xVar}']) @@ -408,7 +435,7 @@ cbar = plt.colorbar(scatter, ax=ax) cbar.set_label('Time', fontsize=10) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) plt.close() print('Visualization saved') `.trim(); @@ -427,11 +454,11 @@ print('Visualization saved') const loopVarsList = variables.map(v => `'${v}'`).join(', '); return ` -import json -import matplotlib.pyplot as plt -import numpy as np import matplotlib matplotlib.use('Agg') +import matplotlib.pyplot as plt +import numpy as np +import json import warnings warnings.filterwarnings('ignore') @@ -439,7 +466,10 @@ with open('${dataPath}', 'r') as f: data = json.load(f) fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) -fig.set_facecolor('white') +fig.patch.set_facecolor('white') +fig.patch.set_alpha(1.0) +ax.set_facecolor('white') +ax.patch.set_alpha(1.0) # Get time array time = data.get('time', []) @@ -497,7 +527,7 @@ else: ha='center', va='center', transform=ax.transAxes, fontsize=12) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) plt.close() print('Visualization saved') `.trim(); @@ -511,10 +541,10 @@ print('Visualization saved') const variable = Array.isArray(variables) ? variables[0] : variables; return ` -import json -import matplotlib.pyplot as plt import matplotlib matplotlib.use('Agg') +import matplotlib.pyplot as plt +import json import warnings warnings.filterwarnings('ignore') @@ -522,7 +552,10 @@ with open('${dataPath}', 'r') as f: data = json.load(f) fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) -fig.set_facecolor('white') +fig.patch.set_facecolor('white') +fig.patch.set_alpha(1.0) +ax.set_facecolor('white') +ax.patch.set_alpha(1.0) runs = data.get('runs', []) colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] @@ -544,7 +577,7 @@ ax.legend(loc='best') ax.grid(True, alpha=0.3) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none') +plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) plt.close() print('Visualization saved') `.trim(); From 9309c447aa46adfc04468aade6cd4cc2f8eb16ae Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 01:18:48 -0400 Subject: [PATCH 025/226] move LTM specification into agent files --- agent/config/ganos-lal.md | 10 ++++++++++ agent/config/myrddin.md | 10 ++++++++++ agent/utilities/AgentConfigurationManager.js | 13 +++++++++++-- 3 files changed, 31 insertions(+), 2 deletions(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index fb6128d9..3f0c90ac 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -38,6 +38,16 @@ IMPORTANT RULES: - Users learn better when they can SEE the model behavior - Visualizations make abstract feedback loops concrete and observable +## Loops That Matter (LTM) +Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. + +Use LTM to help users: +- Understand WHY their models produce specific behaviors +- See which feedback loops are dominant at different times +- Learn that structure creates behavior through feedback mechanisms +- Develop intuition about how systems change over time +- Connect abstract loop concepts to concrete observable patterns + ## Modeling Workflow When helping users build models, follow this SLOW, DELIBERATE process: diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index c8d600db..efe32657 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -26,6 +26,16 @@ IMPORTANT RULES: 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! 8. Assume NO limits on complexity - build comprehensive models as needed +## Loops That Matter (LTM) +Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. + +Use LTM extensively to: +- Understand WHY models produce specific behaviors +- Identify which feedback loops are dominant at different times +- Validate that behavior comes from the right causal mechanisms +- Critique and improve model structure +- Design effective policies that leverage or counteract key feedback loops + ## Modeling Workflow When building or modifying models, work efficiently: diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 7f113563..8d0acbfc 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -68,7 +68,6 @@ After ANY tool use that modifies the model (generate_quantitative_model, generat ## CRITICAL: Feedback Loop Analysis and Model Understanding Make HEAVY use of any tools that provide feedback loop information (such as loop analysis, causal structure analysis, or behavioral mode detection). -Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. **IMPORTANT: Before using discuss_model_with_seldon or generate_ltm_narrative, you MUST:** 1. First call get_feedback_information to retrieve feedback loop analysis data from the client @@ -107,7 +106,17 @@ Use Seldon extensively to help you: - Review simulation results and their relationship to underlying causal structure Consider consulting Seldon when facing complex modeling decisions or when you need expert guidance on system dynamics best practices. -ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements.`; +ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements. + +## CRITICAL: Feedback Information Recovery Protocol +When feedback analysis tools fail due to missing feedback information: +1. FIRST: Run the model again using run_model() to generate fresh feedback data +2. SECOND: Retry the feedback analysis (get_feedback_information, discuss_model_with_seldon, etc.) +3. If STILL no feedback information after running: + - Inform user that no feedback loops are currently being tracked + - Explain: "To enable feedback loop analysis, please enable 'Loops That Matter' in the client settings" + - Suggest: They can enable specific feedback loops for tracking and analysis +4. NEVER give up after first failure - always attempt to run model first`; constructor(configPath) { this.configPath = configPath; From 2d520c0c6bc318b66969b7d1dbf6df7f9fe50cd8 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 07:37:54 -0400 Subject: [PATCH 026/226] Allow any variable type to be used --- agent/utilities/MessageProtocol.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index fbeee679..aa8bc580 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -16,7 +16,7 @@ import { z } from 'zod'; */ export const SDVariableSchema = z.object({ name: z.string(), - type: z.enum(["stock", "flow", "variable"]) + type: z.string() }).catchall(z.any()); export const SDRelationshipSchema = z.object({ From a3bc83a50402ab530647a8f7420b37ee6ba8e0aa Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 08:40:01 -0400 Subject: [PATCH 027/226] optional config to switch between claude-agent-sdk and our own loop --- agent/AgentOrchestrator.js | 417 ++++++++++++++- agent/tools/BuiltInToolProvider.js | 46 ++ agent/tools/DynamicToolProvider.js | 40 ++ agent/tools/builtin/toolHelpers.js | 15 + agent/utilities/MessageProtocol.js | 4 +- config.js | 1 + package-lock.json | 779 ++++++++++++++++++++++++++++- package.json | 1 + 8 files changed, 1279 insertions(+), 24 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 59fc4a0f..358d032c 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -1,4 +1,5 @@ import Anthropic from '@anthropic-ai/sdk'; +import { query } from '@anthropic-ai/claude-agent-sdk'; import { marked } from 'marked'; import { countTokens } from '@anthropic-ai/tokenizer'; import { writeFileSync } from 'fs'; @@ -35,6 +36,11 @@ export class AgentOrchestrator { this.sendToClient = sendToClient; this.stopRequested = false; + // SDK-specific properties (for SDK mode) + this.abortController = null; + this.sdkSessionId = null; // SDK session ID for conversation continuity + this.pendingToolCalls = new Map(); // Track tool_use_id -> tool_name mapping + // Load configuration this.configManager = new AgentConfigurationManager(configPath); @@ -42,12 +48,12 @@ export class AgentOrchestrator { this.builtInToolProvider = new BuiltInToolProvider(sessionManager, sessionId, sendToClient); this.dynamicToolProvider = new DynamicToolProvider(sessionManager, sessionId, sendToClient); - // Initialize Anthropic client + // Initialize Anthropic client (for non-SDK mode) this.anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); - logger.log(`AgentOrchestrator initialized for session ${sessionId}`); + logger.log(`AgentOrchestrator initialized for session ${sessionId} (useAgentSDK: ${config.useAgentSDK})`); } /** @@ -67,26 +73,16 @@ export class AgentOrchestrator { throw new Error(`Session not found: ${this.sessionId}`); } - // Add user message to conversation history - this.sessionManager.addToConversationHistory(this.sessionId, { - role: 'user', - content: userMessage - }); - - // Build system prompt from config - const modelType = session.modelType; - const systemPrompt = this.configManager.buildSystemPrompt(modelType); - - // Get tool collections - const builtInTools = this.builtInToolProvider.getTools(); - const dynamicTools = this.dynamicToolProvider.getTools(); - - logger.log(`Starting conversation for session ${this.sessionId}`); + logger.log(`Starting conversation for session ${this.sessionId} (mode: ${config.useAgentSDK ? 'SDK' : 'manual'})`); logger.log(`Built-in tools: ${this.builtInToolProvider.getToolNames().join(', ')}`); logger.log(`Client tools: ${this.dynamicToolProvider.getToolNames().join(', ')}`); - // Start agent conversation loop - await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); + // Branch based on configuration + if (config.useAgentSDK) { + await this.startConversationWithSDK(userMessage); + } else { + await this.startConversationManual(userMessage); + } } catch (error) { logger.error(`Error in agent conversation for session ${this.sessionId}:`, error); @@ -100,6 +96,389 @@ export class AgentOrchestrator { } } + /** + * Start conversation using manual agent loop (original implementation) + */ + async startConversationManual(userMessage) { + const session = this.sessionManager.getSession(this.sessionId); + + // Add user message to conversation history + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'user', + content: userMessage + }); + + // Build system prompt from config + const modelType = session.modelType; + const systemPrompt = this.configManager.buildSystemPrompt(modelType); + + // Get tool collections + const builtInTools = this.builtInToolProvider.getTools(); + const dynamicTools = this.dynamicToolProvider.getTools(); + + // Start agent conversation loop + await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); + } + + /** + * Start conversation using Claude Agent SDK + */ + async startConversationWithSDK(userMessage) { + const session = this.sessionManager.getSession(this.sessionId); + const modelType = session.modelType; + let systemPrompt = this.configManager.buildSystemPrompt(modelType); + + // Check model token count and handle large models (for SDK mode) + const currentModel = session?.clientModel; + let modelExceedsLimit = false; + + if (currentModel && modelType === 'sfd') { + const modelJson = JSON.stringify(currentModel, null, 2); + const tokenCount = countTokens(modelJson); + this.sessionManager.updateModelTokenCount(this.sessionId, tokenCount); + modelExceedsLimit = this.sessionManager.modelExceedsTokenLimit(this.sessionId); + + logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.maxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + + // If model exceeds limit, write to disk + if (modelExceedsLimit && tokenCount > 0) { + const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + try { + writeFileSync(modelPath, modelJson); + logger.log(`Model exceeds token limit. Written to: ${modelPath}`); + + // Add system message to inform Claude about filesystem tools + const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.maxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n- **Read, Edit, Write**: Use the built-in filesystem tools to directly read and edit the model file at the path above\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory.`; + + systemPrompt += systemMessage; + } catch (err) { + logger.error(`Failed to write model to disk: ${err.message}`); + } + } + } + + // Start SDK conversation loop + await this.runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit); + } + + /** + * Run agent conversation using Claude Agent SDK + */ + async runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit) { + // Create abort controller for stop iteration + this.abortController = new AbortController(); + + const maxIterations = this.configManager.getMaxIterations(); + + try { + // Build tools list - combine SDK filesystem tools with MCP servers + const builtInSdkTools = ['Read', 'Edit', 'Write', 'Glob', 'Grep']; + + let mcpServers = { + builtin: this.builtInToolProvider.getMcpServer(modelExceedsLimit) + }; + + // Get client MCP server + const clientMcpServer = this.dynamicToolProvider.getMcpServer(); + if (clientMcpServer) { + mcpServers.client = clientMcpServer; + } + + // Build allowed tools list with MCP prefixes + const builtInToolNames = this.builtInToolProvider.getToolNames().map(name => `mcp__builtin__${name}`); + let allowedTools = [ + ...builtInSdkTools, // SDK filesystem tools (no prefix) + ...builtInToolNames // Built-in tools with mcp__builtin__ prefix + ]; + + // Add client tools if any + const clientToolNames = this.dynamicToolProvider.getToolNames(); + if (clientToolNames.length > 0) { + // Remove 'client_' prefix and add 'mcp__client__' prefix + const prefixedClientTools = clientToolNames.map(name => + `mcp__client__${name.replace(/^client_/, '')}` + ); + allowedTools.push(...prefixedClientTools); + } + + // Prefix tool names in system prompt + systemPrompt = this.prefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); + + // Build query options with MCP servers + const queryOptions = { + abortController: this.abortController, + systemPrompt: systemPrompt, + model: 'claude-sonnet-4-6', + maxTokens: 8192, + maxTurns: maxIterations, + mcpServers: mcpServers, + allowedTools: allowedTools, + permissionMode: 'bypassPermissions', + compact: true // Enable automatic compaction + }; + + // If we have an SDK session ID, resume the conversation + if (this.sdkSessionId) { + queryOptions.resume = this.sdkSessionId; + logger.log(`Resuming SDK conversation with session_id: ${this.sdkSessionId}`); + } else { + logger.log(`Starting new SDK conversation`); + } + + // Create query iterator with Agent SDK + const queryIterator = query({ + prompt: userMessage, + options: queryOptions + }); + + // Process messages from SDK + for await (const message of queryIterator) { + await this.handleSdkMessage(message); + } + + // Normal completion + logger.log(`Agent conversation completed successfully for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'success', + 'Task completed successfully' + )); + + } catch (error) { + if (error.name === 'AbortError') { + logger.log(`Agent iteration stopped by user request for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped by user request' + )); + } else { + logger.error('Error in agent conversation loop:', error); + await this.sendToClient(createErrorMessage( + this.sessionId, + `Agent error: ${error.message}`, + 'AGENT_ERROR', + true + )); + } + } finally { + this.abortController = null; + } + } + + /** + * Remove MCP prefix from tool names for client display + */ + stripMcpPrefix(toolName) { + if (toolName.startsWith('mcp__builtin__')) { + return toolName.substring('mcp__builtin__'.length); + } + if (toolName.startsWith('mcp__client__')) { + return toolName.substring('mcp__client__'.length); + } + return toolName; + } + + /** + * Handle messages from Agent SDK + */ + async handleSdkMessage(message) { + switch (message.type) { + case 'assistant': + await this.handleAssistantMessage(message); + break; + + case 'result': + await this.handleResultMessage(message); + break; + + case 'system': + if (message.subtype === 'init') { + if (message.session_id) { + this.sdkSessionId = message.session_id; + logger.log(`SDK initialized for session ${this.sessionId}, SDK session_id: ${this.sdkSessionId}`); + } + } else if (message.subtype === 'error') { + logger.error(`SDK system error for session ${this.sessionId}:`, message.error || message); + await this.sendToClient(createErrorMessage( + this.sessionId, + message.error?.message || 'SDK system error', + 'SDK_SYSTEM_ERROR', + true + )); + } else { + logger.log(`Unhandled system message subtype: ${message.subtype}`, message); + } + break; + + case 'user': + await this.handleUserMessage(message); + break; + + default: + logger.log(`Unhandled SDK message type: ${message.type}`, message); + } + } + + /** + * Handle assistant messages (text from Claude) + */ + async handleAssistantMessage(message) { + const content = message.message?.content; + + if (content && Array.isArray(content)) { + for (const block of content) { + if (block.type === 'text' && block.text) { + const html = await marked.parse(block.text); + await this.sendToClient(createAgentTextMessage(this.sessionId, html, false)); + } + else if (block.type === 'thinking' && block.thinking) { + //claude code is too chatty -- don't send these! + /*const html = await marked.parse(block.thinking); + await this.sendToClient(createAgentTextMessage(this.sessionId, html, true));*/ + } + else if (block.type === 'tool_use' && block.name) { + this.pendingToolCalls.set(block.id, block.name); + + const isFilesystemTool = ['Read', 'Edit', 'Write', 'Glob', 'Grep'].includes(block.name); + const isBuiltInMcpTool = block.name.startsWith('mcp__builtin__'); + const isBuiltIn = isFilesystemTool || isBuiltInMcpTool; + + const displayName = this.stripMcpPrefix(block.name); + + await this.sendToClient(createToolCallNotificationMessage( + this.sessionId, + block.id, + displayName, + block.input || {}, + isBuiltIn + )); + + logger.log(`Tool use notification sent: ${block.name} (${block.id}) - isBuiltIn: ${isBuiltIn}`); + } + else if (block.type === 'tool_result' && block.tool_use_id) { + const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; + const displayName = this.stripMcpPrefix(toolName); + + // Log errors more prominently + if (block.is_error) { + logger.error(`Tool error for ${toolName} (${block.tool_use_id}):`, block.content); + } else { + logger.log(`Tool result received in assistant message for ${toolName} (${block.tool_use_id})`); + } + + await this.sendToClient(createToolCallCompletedMessage( + this.sessionId, + block.tool_use_id, + displayName, + block.content, + block.is_error || false, + 'other' + )); + + this.pendingToolCalls.delete(block.tool_use_id); + } + } + } + } + + /** + * Handle user messages (tool results being sent back to Claude) + */ + async handleUserMessage(message) { + const content = message.message?.content; + + if (content && Array.isArray(content)) { + for (const block of content) { + if (block.type === 'tool_result' && block.tool_use_id) { + const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; + const displayName = this.stripMcpPrefix(toolName); + + // Log errors more prominently + if (block.is_error) { + logger.error(`Tool error for ${toolName} (${block.tool_use_id}):`, block.content); + } else { + logger.log(`Tool result received for ${toolName} (${block.tool_use_id})`); + } + + await this.sendToClient(createToolCallCompletedMessage( + this.sessionId, + block.tool_use_id, + displayName, + block.content, + block.is_error || false, + 'other' + )); + + this.pendingToolCalls.delete(block.tool_use_id); + } + } + } + } + + /** + * Handle result messages (conversation completion) + */ + async handleResultMessage(message) { + if (message.subtype === 'success') { + logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); + } else if (message.subtype === 'error') { + logger.error(`SDK conversation error for session ${this.sessionId}:`, message.error || message); + } else if (message.subtype === 'tool_error') { + logger.error(`SDK tool error for session ${this.sessionId}:`, message); + } else { + logger.log(`Unhandled result message subtype: ${message.subtype}`, message); + } + } + + /** + * Prefix tool names in system prompt for SDK mode + * Scans the system prompt and adds mcp__ prefixes to tool names + */ + prefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { + let modifiedPrompt = systemPrompt; + + // Create mapping of unprefixed tool names to prefixed versions + const toolNameMapping = {}; + + // Built-in tools: tool_name -> mcp__builtin__tool_name + for (const prefixedName of builtInToolNames) { + const unprefixedName = prefixedName.replace(/^mcp__builtin__/, ''); + toolNameMapping[unprefixedName] = prefixedName; + } + + // Client tools: client_tool_name -> mcp__client__tool_name + for (const clientToolName of clientToolNames) { + const unprefixedName = clientToolName.replace(/^client_/, ''); + const prefixedName = `mcp__client__${unprefixedName}`; + toolNameMapping[clientToolName] = prefixedName; + // Also map the unprefixed name + toolNameMapping[unprefixedName] = prefixedName; + } + + // Replace tool names in the system prompt + // Look for patterns like `tool_name` or **tool_name** or tool_name (surrounded by word boundaries) + for (const [unprefixed, prefixed] of Object.entries(toolNameMapping)) { + // Match tool names in backticks, bold, or standalone + const patterns = [ + new RegExp(`\`${unprefixed}\``, 'g'), // `tool_name` + new RegExp(`\\*\\*${unprefixed}\\*\\*`, 'g'), // **tool_name** + new RegExp(`\\b${unprefixed}\\b`, 'g') // tool_name (word boundary) + ]; + + for (const pattern of patterns) { + modifiedPrompt = modifiedPrompt.replace(pattern, (match) => { + // Preserve the formatting around the tool name + return match.replace(unprefixed, prefixed); + }); + } + } + + return modifiedPrompt; + } + /** * Run agent conversation with tool calling support * Uses Anthropic SDK directly with agentic loop diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index 964ee9af..14e716d0 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -1,4 +1,7 @@ import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; +import { createSdkMcpServer } from '@anthropic-ai/claude-agent-sdk'; +import { tool } from './builtin/toolHelpers.js'; +import logger from '../../utilities/logger.js'; import { createGenerateQuantitativeModelTool, createGenerateQualitativeModelTool, @@ -87,6 +90,49 @@ export class BuiltInToolProvider { return this.createToolCollection(); } + /** + * Create MCP server from tool instances (for SDK mode) + * Wraps the existing tool collection into SDK MCP server format + * @param {boolean} modelExceedsLimit - Whether to exclude generate_quantitative_model + * @returns {Object} MCP server instance + */ + getMcpServer(modelExceedsLimit = false) { + const toolCollection = this.createToolCollection(); + const toolsArr = []; + + // Wrap each tool for SDK mode + for (const [toolName, toolDef] of Object.entries(toolCollection.tools)) { + // Skip generate_quantitative_model if model exceeds limit + if (modelExceedsLimit && toolName === 'generate_quantitative_model') { + continue; + } + + // Tools in SDK mode need to throw errors instead of returning error responses + const sdkHandler = async (args) => { + const result = await toolDef.handler(args); + if (result.isError) { + throw new Error(result.content[0].text); + } + return result; + }; + + // Use the tool() helper to create SDK tool instances + toolsArr.push(tool({ + name: toolName, + description: toolDef.description, + inputSchema: toolDef.inputSchema, + execute: sdkHandler + })); + } + + logger.log(`Creating builtin MCP server with ${toolsArr.length} tools (modelExceedsLimit: ${modelExceedsLimit})`); + return createSdkMcpServer({ + name: 'builtin', + version: '1.0.0', + tools: toolsArr + }); + } + /** * Get list of built-in tool names */ diff --git a/agent/tools/DynamicToolProvider.js b/agent/tools/DynamicToolProvider.js index 932e8937..3f2b565b 100644 --- a/agent/tools/DynamicToolProvider.js +++ b/agent/tools/DynamicToolProvider.js @@ -1,4 +1,6 @@ import { StructuredOutputToZodConverter } from '../../utilities/StructuredOutputToZodConverter.js'; +import { tool } from './builtin/toolHelpers.js'; +import { createSdkMcpServer } from '@anthropic-ai/claude-agent-sdk'; import logger from '../../utilities/logger.js'; /** @@ -201,4 +203,42 @@ export class DynamicToolProvider { isClientTool(toolName) { return this.getClientToolNames().includes(toolName); } + + /** + * Create MCP server from client tool definitions (for SDK mode) + * Wraps existing tool collection into SDK MCP server format + * @returns {Object|null} MCP server instance or null if no tools + */ + getMcpServer() { + if (!this.toolCollection) { + return null; + } + + const tools = []; + + // Convert tool collection to SDK tool instances + for (const [toolName, toolDef] of Object.entries(this.toolCollection.tools)) { + // Remove 'client_' prefix for SDK (SDK will add 'mcp__client__' prefix) + const unprefixedName = toolName.replace(/^client_/, ''); + + tools.push(tool({ + name: unprefixedName, + description: toolDef.description, + inputSchema: toolDef.inputSchema, + execute: toolDef.handler + })); + } + + if (tools.length === 0) { + return null; + } + + logger.log(`Creating client MCP server with ${tools.length} tools`); + + return createSdkMcpServer({ + name: 'client', + version: '1.0.0', + tools + }); + } } diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index cd960b28..4df8736a 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -1,8 +1,23 @@ /** * Helper utilities shared across built-in tools */ +import { tool as sdkTool } from '@anthropic-ai/claude-agent-sdk'; import logger from '../../../utilities/logger.js'; +/** + * Wrapper for the SDK tool() function for use with Claude Agent SDK + * Note: inputSchema should be a Zod schema + * @param {Object} config - Tool configuration + * @param {string} config.name - Tool name + * @param {string} config.description - Tool description + * @param {Object} config.inputSchema - Zod schema for input validation + * @param {Function} config.execute - Tool execution function + * @returns {Object} SDK tool instance + */ +export function tool({ name, description, inputSchema, execute }) { + return sdkTool(name, description, inputSchema, execute); +} + /** * Generate a unique request ID for async operations * @param {string} prefix - Prefix for the request ID (e.g., 'feedback', 'tool') diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index aa8bc580..88e7301f 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -189,7 +189,7 @@ export const ToolCallNotificationMessageSchema = z.object({ sessionId: z.string().describe('Unique session identifier'), callId: z.string().describe('Unique identifier for this tool call'), toolName: z.string().describe('Name of the tool being called'), - arguments: z.record(z.any()).describe('Map of argument names to values being passed to the tool'), + arguments: z.record(z.string(), z.any()).describe('Map of argument names to values being passed to the tool'), isBuiltIn: z.boolean().describe('Whether this is a built-in tool (true) or client tool (false)'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); @@ -199,7 +199,7 @@ export const ToolCallRequestMessageSchema = z.object({ sessionId: z.string().describe('Unique session identifier'), callId: z.string().describe('Unique identifier for this tool call, used to match with the response'), toolName: z.string().describe('Name of the client tool to execute'), - arguments: z.record(z.any()).describe('Map of argument names to values to pass to the tool'), + arguments: z.record(z.string(), z.any()).describe('Map of argument names to values to pass to the tool'), timeout: z.number().optional().default(30000).describe('Timeout for client tool execution in milliseconds'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); diff --git a/config.js b/config.js index 2f8b7a40..f106b890 100644 --- a/config.js +++ b/config.js @@ -10,6 +10,7 @@ const config = { "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "maxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 100000, // Maximum tokens before switching to file-based editing "maxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 100000, // Maximum tokens for conversation history sent to Claude API + "useAgentSDK": process.env.USE_AGENT_SDK === 'true' || false, // Use Claude Agent SDK instead of manual agent loop }; export default config \ No newline at end of file diff --git a/package-lock.json b/package-lock.json index 7aa4c3e5..bcac362d 100644 --- a/package-lock.json +++ b/package-lock.json @@ -6,6 +6,7 @@ "": { "hasInstallScript": true, "dependencies": { 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"https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz", @@ -5378,6 +6037,15 @@ "url": "https://github.com/chalk/supports-color?sponsor=1" } }, + "node_modules/jose": { + "version": "6.2.2", + "resolved": "https://registry.npmjs.org/jose/-/jose-6.2.2.tgz", + "integrity": "sha512-d7kPDd34KO/YnzaDOlikGpOurfF0ByC2sEV4cANCtdqLlTfBlw2p14O/5d/zv40gJPbIQxfES3nSx1/oYNyuZQ==", + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/panva" + } + }, "node_modules/js-tiktoken": { "version": "1.0.19", "resolved": "https://registry.npmjs.org/js-tiktoken/-/js-tiktoken-1.0.19.tgz", @@ -5420,6 +6088,31 @@ "integrity": "sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w==", "dev": true }, + "node_modules/json-schema-to-ts": { + "version": "3.1.1", + "resolved": "https://registry.npmjs.org/json-schema-to-ts/-/json-schema-to-ts-3.1.1.tgz", + "integrity": 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"resolved": "https://registry.npmjs.org/once/-/once-1.4.0.tgz", "integrity": "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==", - "dev": true, "dependencies": { "wrappy": "1" } @@ -6080,6 +6772,15 @@ "node": ">= 6" } }, + "node_modules/pkce-challenge": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/pkce-challenge/-/pkce-challenge-5.0.1.tgz", + "integrity": "sha512-wQ0b/W4Fr01qtpHlqSqspcj3EhBvimsdh0KlHhH8HRZnMsEa0ea2fTULOXOS9ccQr3om+GcGRk4e+isrZWV8qQ==", + "license": "MIT", + "engines": { + "node": ">=16.20.0" + } + }, "node_modules/pkg-dir": { "version": "4.2.0", "resolved": "https://registry.npmjs.org/pkg-dir/-/pkg-dir-4.2.0.tgz", @@ -6284,6 +6985,15 @@ "node": ">=0.10.0" } }, + "node_modules/require-from-string": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz", + "integrity": "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==", + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, "node_modules/resolve-cwd": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/resolve-cwd/-/resolve-cwd-3.0.0.tgz", @@ -6320,6 +7030,55 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/router": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/router/-/router-2.2.0.tgz", + "integrity": "sha512-nLTrUKm2UyiL7rlhapu/Zl45FwNgkZGaCpZbIHajDYgwlJCOzLSk+cIPAnsEqV955GjILJnKbdQC1nVPz+gAYQ==", + "license": "MIT", + "dependencies": { + "debug": "^4.4.0", + "depd": "^2.0.0", + "is-promise": "^4.0.0", + "parseurl": "^1.3.3", + "path-to-regexp": "^8.0.0" + }, + "engines": { + "node": ">= 18" + } + }, + "node_modules/router/node_modules/debug": { + "version": "4.4.3", + "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz", + "integrity": "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA==", + "license": "MIT", + "dependencies": { + "ms": "^2.1.3" + }, + "engines": { + "node": ">=6.0" + }, + "peerDependenciesMeta": { + "supports-color": { + "optional": true + } + } + }, + "node_modules/router/node_modules/ms": { + "version": "2.1.3", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz", + "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==", + "license": "MIT" + }, + "node_modules/router/node_modules/path-to-regexp": { + "version": "8.4.2", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-8.4.2.tgz", + "integrity": "sha512-qRcuIdP69NPm4qbACK+aDogI5CBDMi1jKe0ry5rSQJz8JVLsC7jV8XpiJjGRLLol3N+R5ihGYcrPLTno6pAdBA==", + "license": "MIT", + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/express" + } + }, "node_modules/safe-buffer": { "version": "5.2.1", "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", @@ -6922,6 +7681,12 @@ "nodetouch": "bin/nodetouch.js" } }, + "node_modules/ts-algebra": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ts-algebra/-/ts-algebra-2.0.0.tgz", + "integrity": "sha512-FPAhNPFMrkwz76P7cdjdmiShwMynZYN6SgOujD1urY4oNm80Ou9oMdmbR45LotcKOXoy7wSmHkRFE6Mxbrhefw==", + "license": "MIT" + }, "node_modules/tslib": { "version": "2.8.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", @@ -7217,8 +7982,7 @@ "node_modules/wrappy": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", - "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", - "dev": true + "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==" }, "node_modules/write-file-atomic": { "version": "5.0.1", @@ -7357,6 +8121,15 @@ "funding": { "url": "https://github.com/sponsors/colinhacks" } + }, + "node_modules/zod-to-json-schema": { + "version": "3.25.2", + "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz", + "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==", + "license": "ISC", + "peerDependencies": { + "zod": "^3.25.28 || ^4" + } } } } diff --git a/package.json b/package.json index db4c96aa..c034b3dd 100644 --- a/package.json +++ b/package.json @@ -1,5 +1,6 @@ { "dependencies": { + "@anthropic-ai/claude-agent-sdk": "^0.2.117", "@anthropic-ai/sdk": "^0.62.0", "@anthropic-ai/tokenizer": "^0.0.4", "@google/genai": "^1.41.0", From eccdd94f1a0774a6c5df4b449b0b3ca4c7fddc59 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 08:54:31 -0400 Subject: [PATCH 028/226] cleanup tool definitions --- agent/tools/BuiltInToolProvider.js | 24 ++++----------------- agent/tools/builtin/discussWithMentor.js | 2 +- agent/tools/builtin/generateLtmNarrative.js | 2 +- 3 files changed, 6 insertions(+), 22 deletions(-) diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index 14e716d0..a9b33825 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -68,8 +68,8 @@ export class BuiltInToolProvider { discuss_model_with_seldon: createDiscussModelWithSeldonTool(this.sessionManager, this.sessionId, this.sendToClient), discuss_model_across_runs: createDiscussModelAcrossRunsTool(this.sessionManager, this.sessionId, this.sendToClient), generate_documentation: createGenerateDocumentationTool(this.sessionManager, this.sessionId, this.sendToClient), - generate_ltm_narrative: createGenerateLtmNarrativeTool(), - discuss_with_mentor: createDiscussWithMentorTool(), + generate_ltm_narrative: createGenerateLtmNarrativeTool(this.sessionManager, this.sessionId), + discuss_with_mentor: createDiscussWithMentorTool(this.sessionManager, this.sessionId), get_feedback_information: createGetFeedbackInformationTool(this.sessionManager, this.sessionId, this.sendToClient), get_current_model: createGetCurrentModelTool(this.sessionManager, this.sessionId, this.sendToClient), update_model: createUpdateModelTool(this.sessionManager, this.sessionId, this.sendToClient), @@ -137,23 +137,7 @@ export class BuiltInToolProvider { * Get list of built-in tool names */ getToolNames() { - return [ - 'generate_quantitative_model', - 'generate_qualitative_model', - 'discuss_model_with_seldon', - 'discuss_model_across_runs', - 'discuss_with_mentor', - 'generate_documentation', - 'generate_ltm_narrative', - 'get_feedback_information', - 'get_current_model', - 'update_model', - 'run_model', - 'get_run_info', - 'get_variable_data', - 'create_visualization', - 'read_model_section', - 'edit_model_section' - ]; + const toolCollection = this.createToolCollection(); + return Object.keys(toolCollection.tools); } } diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index cbde1672..570ecf0e 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -6,7 +6,7 @@ import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Ask thoughtful questions to the user to guide their learning */ -export function createDiscussWithMentorTool() { +export function createDiscussWithMentorTool(sessionManager, sessionId) { return { description: 'Ask thoughtful questions to the user to guide their learning and help them think through System Dynamics concepts. Use this to engage users in Socratic dialogue about their model.', inputSchema: z.object({ diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 4eee76a6..feaeb4f0 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -6,7 +6,7 @@ import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Generate a narrative explanation of feedback loops and their influence on model behavior */ -export function createGenerateLtmNarrativeTool() { +export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { return { description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', inputSchema: z.object({ From 52a611d74778075f6a5b8f9ddc03d6fb3f961466 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 09:18:12 -0400 Subject: [PATCH 029/226] Allow the AI to request detailed run data for plotting purposes --- agent/README.md | 52 +++++++++++++++++++ agent/tools/builtin/clientInteractionTools.js | 7 +-- agent/utilities/MessageProtocol.js | 4 +- 3 files changed, 59 insertions(+), 4 deletions(-) diff --git a/agent/README.md b/agent/README.md index 29eae193..1d7feecb 100644 --- a/agent/README.md +++ b/agent/README.md @@ -592,6 +592,58 @@ Requests feedback loop analysis data from the client (used by Seldon engine for } ``` +#### 10. Get Variable Data + +Requests time-series data for specific variables from specific simulation runs (used for analysis and visualization). + +```json +{ + "type": "get_variable_data", + "sessionId": "sess_abc123", + "requestId": "vardata_xyz789", + "variableNames": ["Population", "Births", "Deaths"], + "runIds": ["run_baseline", "run_policy"], + "detailed": true, + "timestamp": "2025-01-15T10:30:07.500Z" +} +``` + +**Fields:** +- `variableNames` - Array of variable names to retrieve data for +- `runIds` - Array of simulation run IDs to get data from +- `detailed` - Optional boolean (default: `false`) + - When `false`: Returns sampled/summarized data suitable for quick analysis + - When `true`: Returns full detailed data with more data points, suitable for plotting and visualization + +**Client Response:** Send `tool_call_response` with: +```json +{ + "type": "tool_call_response", + "sessionId": "sess_abc123", + "callId": "vardata_xyz789", + "result": { + "variableData": { + "run_baseline": { + "Population": [ + { "time": 0, "value": 1000 }, + { "time": 1, "value": 1020 }, + { "time": 2, "value": 1040.4 } + ], + "Births": [ + { "time": 0, "value": 20 }, + { "time": 1, "value": 20.4 }, + { "time": 2, "value": 20.808 } + ] + }, + "run_policy": { + "Population": [...], + "Births": [...] + } + } + } +} +``` + #### 11. Agent Complete Signals that the agent has finished processing the current request. diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index affa019e..0ac640f5 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -189,9 +189,10 @@ export function createGetVariableDataTool(sessionManager, sessionId, sendToClien description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs. For visualization or analysis, consider requesting a small subset of key variables first.', inputSchema: z.object({ variableNames: z.array(z.string()).describe('List of variable names to get data for'), - runIds: z.array(z.string()).describe('List of run IDs to get variable data from') + runIds: z.array(z.string()).describe('List of run IDs to get variable data from'), + detailed: z.boolean().optional().describe('Whether to return detailed data suitable for plotting (default: false). When true, returns more data points for visualization purposes.') }), - handler: async ({ variableNames, runIds }) => { + handler: async ({ variableNames, runIds, detailed }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { @@ -201,7 +202,7 @@ export function createGetVariableDataTool(sessionManager, sessionId, sendToClien const requestId = generateRequestId('vardata'); // Send request to client for variable data - await sendToClient(createGetVariableDataMessage(sessionId, requestId, variableNames, runIds)); + await sendToClient(createGetVariableDataMessage(sessionId, requestId, variableNames, runIds, detailed)); // Create pending request that will be resolved when client responds const resultPromise = new Promise((resolve, reject) => { diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 88e7301f..cb92ceb4 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -292,6 +292,7 @@ export const GetVariableDataMessageSchema = z.object({ requestId: z.string().describe('Unique request identifier for tracking the response'), variableNames: z.array(z.string()).describe('List of variable names to get data for'), runIds: z.array(z.string()).describe('List of run IDs to get variable data from'), + detailed: z.boolean().optional().describe('Whether to return detailed data suitable for plotting (default: false). When true, returns more data points for visualization purposes.'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); @@ -508,13 +509,14 @@ export function createGetRunInfoMessage(sessionId, requestId) { }; } -export function createGetVariableDataMessage(sessionId, requestId, variableNames, runIds) { +export function createGetVariableDataMessage(sessionId, requestId, variableNames, runIds, detailed) { return { type: 'get_variable_data', sessionId, requestId, variableNames, runIds, + detailed, timestamp: new Date().toISOString() }; } From dd76749b194e1d64af70364666fddedc8843459b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 11:06:58 -0400 Subject: [PATCH 030/226] switch to SVG for visualization engine --- agent/test-client.html | 34 ++++---- agent/tools/builtin/createVisualization.js | 17 ++-- agent/utilities/VisualizationEngine.js | 99 ++++++++-------------- 3 files changed, 54 insertions(+), 96 deletions(-) diff --git a/agent/test-client.html b/agent/test-client.html index c366e6ba..3f24c32e 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -258,16 +258,6 @@ color: #2c3e50; } - .visualization-item img { - max-width: 100%; - width: 100%; - height: auto; - border-radius: 4px; - border: 1px solid #e0e0e0; - display: block; - object-fit: contain; - } - .visualization-meta { font-size: 12px; color: #7f8c8d; @@ -369,7 +359,7 @@

Model Data

Visualizations

- Base64-encoded PNG images from create_visualization tool + SVG figures from create_visualization tool

No visualizations yet

@@ -708,14 +698,20 @@

Visualizations

vizItem.appendChild(descEl); } - // Display the image (new format: data.content with data.encoding) - if (format === 'image' && data && data.content && data.encoding === 'base64') { - const img = document.createElement('img'); - img.src = `data:${data.mimeType || 'image/png'};base64,${data.content}`; - img.alt = title || 'Visualization'; - if (data.width) img.width = data.width; - if (data.height) img.height = data.height; - vizItem.appendChild(img); + // Display inline SVG + if (format === 'svg' && data) { + const svgContainer = document.createElement('div'); + svgContainer.style.width = '100%'; + svgContainer.style.overflow = 'hidden'; + svgContainer.innerHTML = data; + const svgEl = svgContainer.querySelector('svg'); + if (svgEl) { + svgEl.removeAttribute('width'); + svgEl.removeAttribute('height'); + svgEl.style.width = '100%'; + svgEl.style.height = 'auto'; + } + vizItem.appendChild(svgContainer); } else { const errorMsg = document.createElement('p'); errorMsg.textContent = 'Unsupported visualization format or missing data'; diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index c1632f2f..52d483c9 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -51,26 +51,19 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu visualizationGoal }; - // VisualizationEngine now returns just base64 image string - const base64Image = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); + // VisualizationEngine returns raw SVG string + const svgContent = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); // Generate visualization ID const visualizationId = `viz_${Date.now()}_${Math.random().toString(36).substring(7)}`; - // Wrap base64 string in proper visualization message object const vizMessage = { type: 'visualization', sessionId: sessionId, visualizationId, title: title || 'Visualization', - format: 'image', - data: { - encoding: 'base64', - mimeType: 'image/png', - content: base64Image, - width: 800, - height: 600 - }, + format: 'svg', + data: svgContent, timestamp: new Date().toISOString() }; @@ -82,7 +75,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu // Send visualization to client await sendToClient(vizMessage); - return createSuccessResponse(`Created ${useAICustom ? 'AI-custom' : type || 'time_series'} visualization: "${title}" and sent to client`); + return createSuccessResponse(`Created ${useAICustom ? 'AI-custom' : type || 'time_series'} SVG visualization: "${title}" and sent to client`); } catch (error) { return createErrorResponse(`Failed to create visualization: ${error.message}`, error); } diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index e6a34194..655cfcc7 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -14,7 +14,7 @@ const __dirname = dirname(__filename); * Creates visualizations using Python/matplotlib * * Key Features: - * - Always returns base64 encoded PNG images + * - Always returns SVG string * - Python/matplotlib for template-based visualizations * - AI-generated custom Python code for unique requirements * - Session-specific temp folder management @@ -64,7 +64,7 @@ export class VisualizationEngine { } /** - * Create visualization - always returns base64 encoded PNG image + * Create visualization - always returns SVG string */ async createVisualization(type, data, variables, options = {}) { const useAICustom = options.useAICustom || false; @@ -77,15 +77,15 @@ export class VisualizationEngine { } /** - * Create custom visualization using AI to write Python/matplotlib code - returns base64 image only + * Create custom visualization using AI to write Python/matplotlib code - returns SVG string */ async createAICustomVisualization(data, variables, options) { const vizId = this.generateVizId(); const scriptPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.py`)); const dataPath = this.validatePath(join(this.sessionTempDir, `data-${vizId}.json`)); - const outputPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.png`)); + const outputPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.svg`)); - let base64Image = null; + let svgContent = null; let error = null; try { @@ -101,19 +101,14 @@ export class VisualizationEngine { // 3. Execute Python script await this.executePythonScript(scriptPath); - // 4. Read generated image and validate it's a PNG - const imageBuffer = readFileSync(outputPath); + // 4. Read generated SVG and validate + const fileContent = readFileSync(outputPath, 'utf8'); - // Validate PNG signature (first 8 bytes: 89 50 4E 47 0D 0A 1A 0A) - if (imageBuffer.length < 8 || - imageBuffer[0] !== 0x89 || imageBuffer[1] !== 0x50 || - imageBuffer[2] !== 0x4E || imageBuffer[3] !== 0x47 || - imageBuffer[4] !== 0x0D || imageBuffer[5] !== 0x0A || - imageBuffer[6] !== 0x1A || imageBuffer[7] !== 0x0A) { - throw new Error('Generated file is not a valid PNG image'); + if (!fileContent.includes(' `'${v}'`).join(', ')} ${options.customRequirements ? `Requirements: ${options.customRequirements}\n` : ''} -CRITICAL - Background settings (REQUIRED for proper display): +Required: 1. Import order: matplotlib.use('Agg') BEFORE import matplotlib.pyplot 2. Suppress warnings: warnings.filterwarnings('ignore') -3. After creating figure: fig.patch.set_facecolor('white') AND fig.patch.set_alpha(1.0) -4. For each axes: ax.set_facecolor('white') AND ax.patch.set_alpha(1.0) -5. Save with: plt.savefig(path, format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) +3. Save with: plt.savefig(path, format='svg', bbox_inches='tight') Generate ONLY working Python code, no explanations.`; @@ -248,15 +240,15 @@ Generate ONLY working Python code, no explanations.`; } /** - * Create visualization using Python (matplotlib) - returns base64 image only + * Create visualization using Python (matplotlib) - returns SVG string */ async createVisualizationWithPython(type, data, variables, options) { const vizId = this.generateVizId(); const scriptPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.py`)); const dataPath = this.validatePath(join(this.sessionTempDir, `data-${vizId}.json`)); - const outputPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.png`)); + const outputPath = this.validatePath(join(this.sessionTempDir, `visualization-${vizId}.svg`)); - let base64Image = null; + let svgContent = null; let error = null; try { @@ -272,19 +264,14 @@ Generate ONLY working Python code, no explanations.`; // 3. Execute Python script await this.executePythonScript(scriptPath); - // 4. Read generated image and validate it's a PNG - const imageBuffer = readFileSync(outputPath); + // 4. Read generated SVG and validate + const fileContent = readFileSync(outputPath, 'utf8'); - // Validate PNG signature (first 8 bytes: 89 50 4E 47 0D 0A 1A 0A) - if (imageBuffer.length < 8 || - imageBuffer[0] !== 0x89 || imageBuffer[1] !== 0x50 || - imageBuffer[2] !== 0x4E || imageBuffer[3] !== 0x47 || - imageBuffer[4] !== 0x0D || imageBuffer[5] !== 0x0A || - imageBuffer[6] !== 0x1A || imageBuffer[7] !== 0x0A) { - throw new Error('Generated file is not a valid PNG image'); + if (!fileContent.includes(' ` @@ -385,8 +367,7 @@ ax.grid(True, alpha=0.3) ${highlightPeriodsCode} plt.tight_layout() -# Save with explicit white background and no transparency -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) +plt.savefig('${outputPath}', format='svg', bbox_inches='tight') plt.close() print('Visualization saved') `.trim(); @@ -409,11 +390,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(8, 6), dpi=300) -fig.patch.set_facecolor('white') -fig.patch.set_alpha(1.0) -ax.set_facecolor('white') -ax.patch.set_alpha(1.0) +fig, ax = plt.subplots(figsize=(8, 6)) time = np.array(data['time']) x = np.array(data['${xVar}']) @@ -435,7 +412,7 @@ cbar = plt.colorbar(scatter, ax=ax) cbar.set_label('Time', fontsize=10) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) +plt.savefig('${outputPath}', format='svg', bbox_inches='tight') plt.close() print('Visualization saved') `.trim(); @@ -465,11 +442,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) -fig.patch.set_facecolor('white') -fig.patch.set_alpha(1.0) -ax.set_facecolor('white') -ax.patch.set_alpha(1.0) +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) # Get time array time = data.get('time', []) @@ -527,7 +500,7 @@ else: ha='center', va='center', transform=ax.transAxes, fontsize=12) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) +plt.savefig('${outputPath}', format='svg', bbox_inches='tight') plt.close() print('Visualization saved') `.trim(); @@ -551,11 +524,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) -fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100}), dpi=300) -fig.patch.set_facecolor('white') -fig.patch.set_alpha(1.0) -ax.set_facecolor('white') -ax.patch.set_alpha(1.0) +fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) runs = data.get('runs', []) colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] @@ -577,7 +546,7 @@ ax.legend(loc='best') ax.grid(True, alpha=0.3) plt.tight_layout() -plt.savefig('${outputPath}', format='png', dpi=300, bbox_inches='tight', facecolor='white', edgecolor='none', transparent=False) +plt.savefig('${outputPath}', format='svg', bbox_inches='tight') plt.close() print('Visualization saved') `.trim(); From 0790df71cd42cc65406aff956d61d7d14fb6d270 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 12:34:33 -0400 Subject: [PATCH 031/226] update the documentation for the agent tool --- agent/README.md | 876 +++++++++++++++++------------------------------- 1 file changed, 305 insertions(+), 571 deletions(-) diff --git a/agent/README.md b/agent/README.md index 1d7feecb..f5168fab 100644 --- a/agent/README.md +++ b/agent/README.md @@ -4,16 +4,16 @@ AI-powered agent for building and modifying System Dynamics models via WebSocket ## Overview -This WebSocket server provides an AI agent (powered by Claude) that helps users build, modify, and analyze System Dynamics models. The agent uses existing SD-AI engines as tools and allows clients to dynamically register their own tools for model execution and data retrieval. +This WebSocket server provides an AI agent (powered by Claude) that helps users build, modify, and analyze System Dynamics models. The agent uses built-in SD-AI engine tools and communicates with the client for model state, simulation runs, feedback loop data, and variable time-series. **Key Features:** - Stateless server architecture (all user data lives client-side) -- Session-specific temp folders for Python visualizations -- Built-in SD-AI engine tools -- Dynamic client tool registration -- Configurable agent behavior via YAML -- AI-powered custom visualizations +- Built-in tools for model interaction — no tool registration required for core operations +- Optional custom client tool registration for application-specific behavior +- Configurable agent behavior via Markdown files in `agent/config/` +- AI-powered custom visualizations (SVG) - Multiple agent personalities (Ganos Lal, Myrddin, etc.) +- Per-session temp directory for visualization scratch space ## Architecture @@ -22,25 +22,23 @@ This WebSocket server provides an AI agent (powered by Claude) that helps users The **client** owns and maintains: - Complete model state (SD-JSON format) - All simulation run data -- Full conversation history (including user messages, agent responses, and visualizations) +- Full conversation history (user messages, agent responses, visualizations) - Message log for session resumption The **server** maintains (in-memory only): - Active WebSocket sessions -- Model type (CLD or SFD) - set once, never changes +- A per-session temp directory (created on connect, cleaned up on disconnect) +- Model type (CLD or SFD) — set once, never changes - Conversation context (can be seeded with historical messages) -- Pending tool calls and feedback requests -- Session-specific temp folders +- Pending tool calls, feedback requests, and model interaction requests ### Model Type Enforcement Each session works with ONE model type that cannot be changed: -- **CLD** (Causal Loop Diagram) - Conceptual models with feedback loops -- **SFD** (Stock Flow Diagram) - Quantitative models with stocks, flows, and equations +- **CLD** (Causal Loop Diagram) — Conceptual models with feedback loops +- **SFD** (Stock Flow Diagram) — Quantitative models with stocks, flows, and equations -The model type is declared at session initialization and enforced throughout: -- Agent will only use tools appropriate for that model type -- If building an SFD requires a conceptual CLD first, the CLD will be shown in a separate window +The model type is declared at session initialization and enforced throughout. ### Message Flow @@ -66,9 +64,9 @@ ws://localhost:3000/api/v1/agent 1. **Client connects** to WebSocket endpoint 2. **Server sends** `session_created` with session ID -3. **Client sends** `initialize_session` with auth, model type, initial model, and tools +3. **Client sends** `initialize_session` with auth, model type, initial model, and optional custom tools 4. **Server validates** and sends `session_ready` with available agents -5. **Client sends** `select_agent` to choose an agent (e.g., "ganos-lal", "myrddin") +5. **Client sends** `select_agent` to choose an agent (e.g., `"ganos-lal"`, `"myrddin"`) 6. **Server sends** `agent_selected` confirmation 7. **Normal conversation** begins with `chat` messages @@ -78,7 +76,7 @@ All client messages include a `sessionId` (except `initialize_session` which rec #### 1. Initialize Session -Establishes a session with authentication, model type, initial model, client tools, and context. +Establishes a session with authentication, model type, initial model, and optional custom tools. ```json { @@ -94,32 +92,14 @@ Establishes a session with authentication, model type, initial model, client too }, "tools": [ { - "name": "get_current_model", - "description": "Returns the current model state from the client", - "inputSchema": { - "type": "object", - "properties": {} - } - }, - { - "name": "update_model", - "description": "Updates the client's model with changes", + "name": "open_variable_inspector", + "description": "Opens the variable inspector panel in the client UI for a given variable", "inputSchema": { "type": "object", "properties": { - "model": { "type": "object" }, - "explanation": { "type": "string" } - } - } - }, - { - "name": "run_model", - "description": "Runs a simulation and returns time series data", - "inputSchema": { - "type": "object", - "properties": { - "timeRange": { "type": "object" } - } + "variableName": { "type": "string" } + }, + "required": ["variableName"] } } ], @@ -140,21 +120,28 @@ Establishes a session with authentication, model type, initial model, client too } ``` +**Fields:** +- `authenticationKey` — Server authentication (required only if `AUTHENTICATION_KEY` env var is set) +- `clientProduct` — Client identifier (e.g., `"sd-web"`, `"sd-desktop"`) +- `clientVersion` — Client version for compatibility checking +- `modelType` — Either `"cld"` or `"sfd"` — **cannot be changed during session** +- `model` — Initial model state (can be empty) +- `tools` — Optional array of custom client tool definitions (see Client Tool Registration below). Core model operations are all built-in and do not need to be registered here. +- `historicalMessages` — Optional array of previous messages to seed conversation context +- `context` — Optional contextual information for the agent + ### Historical Messages -The `historicalMessages` field allows clients to provide conversation history from a previous session, enabling context continuity across reconnections or new sessions. +The `historicalMessages` field lets clients provide conversation history from a previous session, enabling continuity across reconnections or new sessions. **Message Types:** -1. **user_text** - User chat message +1. **user_text** — User chat message ```json -{ - "type": "user_text", - "content": "Build me a population model" -} +{ "type": "user_text", "content": "Build me a population model" } ``` -2. **agent_text** - Agent response or thinking +2. **agent_text** — Agent response or thinking ```json { "type": "agent_text", @@ -163,51 +150,28 @@ The `historicalMessages` field allows clients to provide conversation history fr } ``` -3. **visualization** - Previous visualization (optional, for display purposes) +3. **visualization** — Previous visualization (summarized as context, not re-rendered) ```json { "type": "visualization", - "visualizationId": "viz_123", "visualizationTitle": "Population Growth", - "visualizationDescription": "Shows exponential growth", - "imageData": "base64-encoded-png-data..." + "visualizationDescription": "Shows exponential growth" } ``` -4. **agent_complete** - Agent completion message +4. **agent_complete** — Agent completion message ```json -{ - "type": "agent_complete", - "content": "I've completed building your model", - "status": "success" -} +{ "type": "agent_complete", "content": "I've completed building your model" } ``` -**Use Cases:** -- Resume conversation after client restart -- Provide context when switching agents mid-session -- Share conversation history across devices -- Load saved modeling sessions - **Important Notes:** -- Historical messages are converted to agent conversation context -- Visualizations in history are logged but not re-rendered -- Server uses messages to understand previous context but doesn't persist them -- Client is responsible for maintaining and providing the complete history - -**Fields:** -- `authenticationKey` - Server authentication (can be disabled in config) -- `clientProduct` - Client identifier (e.g., "sd-web", "sd-desktop") -- `clientVersion` - Client version for compatibility checking -- `modelType` - Either `"cld"` or `"sfd"` - **cannot be changed during session** -- `model` - Initial model state (can be empty) -- `tools` - Array of client tool definitions (see Client Tool Registration below) -- `historicalMessages` - Optional array of previous messages to provide context (see Historical Messages below) -- `context` - Optional contextual information +- Historical messages seed the agent's conversation context +- The server does not persist messages — the client is responsible for maintaining history +- SVG data from past visualizations is not replayed; only the title/description are included as context #### 2. Select Agent -Chooses which agent personality to use for the session. +Chooses which agent personality to use. ```json { @@ -217,9 +181,7 @@ Chooses which agent personality to use for the session. } ``` -**Available Agents:** -- `ganos-lal` - Helpful mentor who guides users through modeling -- `myrddin` - Expert modeler focused on technical excellence +Available agents are returned in `session_ready`. Agents are discovered from `.md` files in `agent/config/`. #### 3. Chat Message @@ -235,34 +197,31 @@ Sends a user message to the agent. #### 4. Tool Call Response -Responds to a `tool_call_request` with execution results. +Responds to any `tool_call_request` or `feedback_request` from the server. ```json { "type": "tool_call_response", "sessionId": "sess_abc123", - "callId": "call_xyz789", - "result": { - "model": { - "variables": [...], - "relationships": [...] - } - }, + "callId": "req_abc123", + "result": {}, "isError": false } ``` -**Error Response:** +**Error response:** ```json { "type": "tool_call_response", "sessionId": "sess_abc123", - "callId": "call_xyz789", - "result": "Model validation failed: missing required field 'name'", + "callId": "req_abc123", + "result": "Simulation failed: division by zero in equation", "isError": true } ``` +The `result` shape depends on which request is being answered — see the Server → Client messages below for the expected format per tool. + #### 5. Model Updated Notification Notifies the server when the client updates the model externally (e.g., user manual edit). @@ -272,8 +231,8 @@ Notifies the server when the client updates the model externally (e.g., user man "type": "model_updated_notification", "sessionId": "sess_abc123", "model": { - "variables": [...], - "relationships": [...] + "variables": [], + "relationships": [] }, "changeReason": "User manually added a new variable" } @@ -281,7 +240,7 @@ Notifies the server when the client updates the model externally (e.g., user man #### 6. Stop Iteration -Requests the agent to stop iterating immediately, interrupting the current conversation loop without disconnecting the session. +Interrupts the current agent loop without disconnecting the session. ```json { @@ -290,21 +249,11 @@ Requests the agent to stop iterating immediately, interrupting the current conve } ``` -**Purpose:** -- Stops the agent mid-execution (e.g., if it's taking too long or heading in the wrong direction) -- Session remains active - you can send new chat messages after stopping -- Useful for interrupting lengthy tool chains or when the agent is stuck in a loop - -**Behavior:** -- Agent stops immediately, interrupting any in-progress work -- Stops after the current API call completes or during tool execution -- Sends an `agent_complete` message with status `awaiting_user` and message "Agent stopped by user request" -- Session state is preserved - conversation history remains intact -- Client can immediately send a new chat message +The agent stops after the current API call completes, then sends `agent_complete` with status `awaiting_user`. The session remains active and can receive new `chat` messages. #### 7. Disconnect -Gracefully closes the session and cleans up all server-side resources. +Gracefully closes the session and cleans up all server-side resources including the temp directory. ```json { @@ -313,27 +262,13 @@ Gracefully closes the session and cleans up all server-side resources. } ``` -**Purpose:** -- Ends the session completely and closes the WebSocket connection -- Cleans up all server-side resources (session data, temp folders, pending calls) -- Use when the user is done with the session or closing the application - -**Behavior:** -- Agent orchestrator is destroyed -- Session is deleted from the session manager -- All temp files and session-specific folders are cleaned up -- WebSocket connection is closed with code 1000 (normal closure) -- After disconnect, a new session must be initialized to continue - -**Comparison with Stop Iteration:** -- `stop_iteration` - Interrupts agent but keeps session alive for new messages -- `disconnect` - Completely ends the session and closes the connection +--- ### Server → Client Messages #### 1. Session Created -Sent immediately upon WebSocket connection. Provides the session ID for all subsequent messages. +Sent immediately upon WebSocket connection. ```json { @@ -345,7 +280,7 @@ Sent immediately upon WebSocket connection. Provides the session ID for all subs #### 2. Session Ready -Sent after successful initialization. Lists available agents for selection. +Sent after successful initialization. Lists available agents. ```json { @@ -356,13 +291,13 @@ Sent after successful initialization. Lists available agents for selection. "id": "ganos-lal", "name": "Ganos Lal", "supports": ["sfd", "cld"], - "description": "A helpful mentor who guides you through building models" + "description": "System Dynamics mentor who uses Socratic questioning..." }, { "id": "myrddin", "name": "Myrddin", "supports": ["sfd", "cld"], - "description": "An expert modeler focused on technical excellence" + "description": "..." } ], "defaults": { @@ -373,13 +308,9 @@ Sent after successful initialization. Lists available agents for selection. } ``` -**Fields:** -- `availableAgents` - Array of agent definitions with their supported model types -- `defaults` - Object mapping model types to their default agent IDs - #### 3. Agent Selected -Confirms that an agent has been selected and is ready. +Confirms the selected agent is ready. ```json { @@ -393,7 +324,7 @@ Confirms that an agent has been selected and is ready. #### 4. Agent Text -Text response from the agent (thinking or final response). +Text response from the agent. ```json { @@ -405,12 +336,11 @@ Text response from the agent (thinking or final response). } ``` -**Fields:** -- `isThinking` - `true` if this is internal reasoning (optional to display), `false` for final response +`isThinking: true` indicates internal reasoning — display is optional. #### 5. Tool Call Notification -Informs the client that a tool is being called (for UI display purposes). Sent for ALL tools (built-in and client). +Informs the client that a tool is being called (for UI display). Sent for all tools — built-in and custom. ```json { @@ -418,50 +348,115 @@ Informs the client that a tool is being called (for UI display purposes). Sent f "sessionId": "sess_abc123", "callId": "call_abc456", "toolName": "generate_quantitative_model", - "arguments": { - "prompt": "Create a simple population model", - "modelType": "sfd" - }, "isBuiltIn": true, "timestamp": "2025-01-15T10:30:02.000Z" } ``` -**Fields:** -- `isBuiltIn` - `true` for server-side tools, `false` for client tools -- **Client Action:** Display in UI, show loading state, log the tool call - #### 6. Tool Call Request -**Only sent for client tools.** Requests the client to execute one of their registered tools and return results. +Requests the client to execute a model interaction and return results via `tool_call_response`. Sent for both built-in client interaction tools and any custom registered tools. ```json { "type": "tool_call_request", "sessionId": "sess_abc123", - "callId": "call_xyz789", - "toolName": "run_model", - "arguments": { - "timeRange": { - "start": 0, - "end": 100, - "dt": 1 - } - }, + "callId": "req_abc123", + "toolName": "get_current_model", + "arguments": {}, "timeout": 30000, "timestamp": "2025-01-15T10:30:03.000Z" } ``` -**Fields:** -- `timeout` - Milliseconds before request times out (default: 30000) -- **Client Action:** Execute the tool and send back `tool_call_response` +**Built-in tool names and expected `result` shapes:** -**Important:** Client will receive BOTH `tool_call_notification` (for UI) AND `tool_call_request` (for execution) for client tools. +**`get_current_model`** — return the current model state +```json +{ + "model": { + "variables": [ + { + "name": "Population", + "type": "stock", + "equation": "1000", + "documentation": "Total population", + "units": "people", + "inflows": ["Births"], + "outflows": ["Deaths"] + }, + { + "name": "Births", + "type": "flow", + "equation": "Population * Birth Rate", + "uniflow": true + }, + { + "name": "Birth Rate", + "type": "variable", + "equation": "0.02" + } + ], + "relationships": [ + { "from": "Birth Rate", "to": "Births", "polarity": "+" }, + { "from": "Population", "to": "Births", "polarity": "+" } + ], + "specs": { + "startTime": 0, + "stopTime": 100, + "dt": 0.25, + "timeUnits": "Years" + }, + "errors": [] + } +} +``` + +`errors` is an array of strings set by the client to report any simulation or validation errors on the current model state. Pass an empty array if there are no errors. + +**`update_model`** — apply model changes, confirm success +```json +{ "success": true } +``` + +**`run_model`** — run the simulation, return the new run ID +```json +{ "runId": "run_abc123" } +``` + +**`get_run_info`** — return all simulation runs +```json +{ + "runs": [ + { "id": "run_abc123", "name": "Baseline" }, + { "id": "run_def456", "name": "Policy" } + ] +} +``` + +**`get_variable_data`** — return time-series data for requested variables and runs +```json +{ + "variableData": { + "run_abc123": { + "Population": [ + { "time": 0, "value": 1000 }, + { "time": 1, "value": 1020 } + ], + "Births": [ + { "time": 0, "value": 20 }, + { "time": 1, "value": 20.4 } + ] + } + } +} +``` + +For **custom registered tools**, the `toolName` will match a name from the `tools` array provided in `initialize_session`, and `result` can be any JSON value meaningful to the agent. #### 7. Tool Call Completed -Sent after a tool completes execution (built-in or client tool). +Sent after a built-in tool finishes execution. ```json { @@ -469,27 +464,14 @@ Sent after a tool completes execution (built-in or client tool). "sessionId": "sess_abc123", "callId": "call_abc456", "toolName": "generate_quantitative_model", - "result": { - "content": [ - { - "type": "text", - "text": "{\"model\": {...}, \"supportingInfo\": {...}}" - } - ] - }, "isError": false, - "responseType": "model", "timestamp": "2025-01-15T10:30:04.000Z" } ``` -**Fields:** -- `isError` - Whether the tool execution failed -- `responseType` - One of: `"model"`, `"discuss"`, `"ltm-discuss"`, `"other"` - #### 8. Visualization -Sends visualization data to the client as base64 encoded PNG images. +Sends an SVG visualization to the client. ```json { @@ -498,48 +480,32 @@ Sends visualization data to the client as base64 encoded PNG images. "visualizationId": "viz_12345", "title": "Population Growth Over Time", "description": "Shows exponential growth pattern", - "format": "image", - "data": { - "encoding": "base64", - "mimeType": "image/png", - "content": "iVBORw0KGgoAAAANSUhEUgAAA...", - "width": 800, - "height": 600 - }, + "format": "svg", + "data": "...", "timestamp": "2025-01-15T10:30:05.000Z" } ``` -**Format:** -- All visualizations are returned as base64-encoded PNG images -- The `data` field is an object containing: - - `encoding`: Always "base64" - - `mimeType`: Image MIME type (e.g., "image/png") - - `content`: Base64-encoded image data - - `width`: Image width in pixels - - `height`: Image height in pixels +- `format` is always `"svg"` +- `data` is a raw SVG string (not base64, not PNG) - `description` is optional #### 9. Feedback Request -Requests feedback loop analysis data from the client (used by Seldon engine for enhanced discussions). +Requests feedback loop analysis data from the client, used by the Seldon and LTM narrative tools. ```json { "type": "feedback_request", "sessionId": "sess_abc123", "requestId": "feedback_xyz789", - "runIds": ["run_baseline", "run_policy"], + "runIds": ["run_abc123", "run_def456"], "timestamp": "2025-01-15T10:30:07.000Z" } ``` -**Fields:** -- `runIds` - Array of simulation run IDs to get feedback for - - Empty array `[]` means the current/most recent run - - Multiple run IDs means request comparative feedback for those runs +**Client response** — send `tool_call_response` with `callId` set to the `requestId`: -**Client Response (Single Run):** Send `tool_call_response` with: ```json { "type": "tool_call_response", @@ -547,54 +513,35 @@ Requests feedback loop analysis data from the client (used by Seldon engine for "callId": "feedback_xyz789", "result": { "feedbackContent": { - "loops": [ + "feedbackLoops": [ { - "id": "loop_1", + "identifier": "loop_1", "name": "Population Growth Loop", - "type": "reinforcing", - "polarity": "R", - "variables": ["Population", "Births"], - "strength": 0.85, - "dominance": [ + "polarity": "+", + "links": [ + { "from": "Population", "to": "Births", "polarity": "+" }, + { "from": "Births", "to": "Population", "polarity": "+" } + ], + "loopset": 1, + "Percent of Model Behavior Explained By Loop": [ { "time": 0, "value": 0.3 }, { "time": 10, "value": 0.8 } ] } + ], + "dominantLoopsByPeriod": [ + { "dominantLoops": ["loop_1"], "startTime": 0, "endTime": 50 } ] }, - "runIds": ["run_current"] - } -} -``` - -**Client Response (Multiple Runs):** Send `tool_call_response` with: -```json -{ - "type": "tool_call_response", - "sessionId": "sess_abc123", - "callId": "feedback_xyz789", - "result": { - "feedbackContent": { - "runs": { - "run_baseline": { - "loops": [...] - }, - "run_policy": { - "loops": [...] - } - }, - "comparison": { - "differenceExplanation": "Policy intervention shifts dominance..." - } - }, - "runIds": ["run_baseline", "run_policy"] - } + "runIds": ["run_abc123"] + }, + "isError": false } ``` -#### 10. Get Variable Data +#### 10. Get Variable Data Request -Requests time-series data for specific variables from specific simulation runs (used for analysis and visualization). +Requests time-series data for specific variables from specific runs. ```json { @@ -602,51 +549,19 @@ Requests time-series data for specific variables from specific simulation runs ( "sessionId": "sess_abc123", "requestId": "vardata_xyz789", "variableNames": ["Population", "Births", "Deaths"], - "runIds": ["run_baseline", "run_policy"], + "runIds": ["run_abc123", "run_def456"], "detailed": true, "timestamp": "2025-01-15T10:30:07.500Z" } ``` -**Fields:** -- `variableNames` - Array of variable names to retrieve data for -- `runIds` - Array of simulation run IDs to get data from -- `detailed` - Optional boolean (default: `false`) - - When `false`: Returns sampled/summarized data suitable for quick analysis - - When `true`: Returns full detailed data with more data points, suitable for plotting and visualization +- `detailed: true` returns more data points suitable for plotting; `false` returns a sampled summary -**Client Response:** Send `tool_call_response` with: -```json -{ - "type": "tool_call_response", - "sessionId": "sess_abc123", - "callId": "vardata_xyz789", - "result": { - "variableData": { - "run_baseline": { - "Population": [ - { "time": 0, "value": 1000 }, - { "time": 1, "value": 1020 }, - { "time": 2, "value": 1040.4 } - ], - "Births": [ - { "time": 0, "value": 20 }, - { "time": 1, "value": 20.4 }, - { "time": 2, "value": 20.808 } - ] - }, - "run_policy": { - "Population": [...], - "Births": [...] - } - } - } -} -``` +**Client response** — send `tool_call_response` with `callId` set to the `requestId` and the `variableData` shape shown in §6 above. #### 11. Agent Complete -Signals that the agent has finished processing the current request. +Signals the agent has finished the current request. ```json { @@ -658,268 +573,130 @@ Signals that the agent has finished processing the current request. } ``` -**Status Values:** -- `"success"` - Task completed successfully -- `"error"` - Task failed -- `"awaiting_user"` - Waiting for user input +**Status values:** `"success"` | `"error"` | `"awaiting_user"` #### 12. Error -Reports errors during message processing or tool execution. +Reports errors during processing. ```json { "type": "error", "sessionId": "sess_abc123", - "error": "Tool 'run_model' timed out after 30 seconds", + "error": "Tool 'run_model' timed out after 60 seconds", "errorCode": "TOOL_TIMEOUT", "recoverable": true, "timestamp": "2025-01-15T10:30:09.000Z" } ``` -**Fields:** -- `recoverable` - If `true`, the session can continue; if `false`, reconnection may be needed +`recoverable: true` means the session can continue; `false` means reconnection may be needed. + +--- ## Client Tool Registration -Clients register their tools during `initialize_session`. Each tool must follow this schema: +Clients can optionally register custom tools during `initialize_session`. These are application-specific operations the agent can invoke — for example, opening a UI panel, triggering an export, or running a custom analysis. + +Core model operations (`get_current_model`, `update_model`, `run_model`, `get_run_info`, `get_variable_data`) are all built-in and do **not** need to be registered. ```typescript { name: string, // Unique tool name - description: string, // What the tool does (for AI) + description: string, // What the tool does (shown to the AI) inputSchema: { // JSON Schema for parameters type: "object", properties: { // Parameter definitions }, - required?: string[] // Required parameters + required?: string[] } } ``` -### Recommended Client Tools +When the agent calls a custom tool, the server sends a `tool_call_request` and the client must respond with `tool_call_response`. -#### 1. get_current_model - -**Purpose:** Returns the current model state from the client. - -```json -{ - "name": "get_current_model", - "description": "Get the current model from the client", - "inputSchema": { - "type": "object", - "properties": {} - } -} -``` - -**Expected Response:** -```json -{ - "model": { - "variables": [...], - "relationships": [...], - "specs": {...} - } -} -``` - -#### 2. update_model - -**Purpose:** Updates the client's model with changes or a complete replacement. - -```json -{ - "name": "update_model", - "description": "Update the client model with changes or replace it entirely", - "inputSchema": { - "type": "object", - "properties": { - "model": { - "type": "object", - "description": "Complete model to set (replaces current model)" - }, - "explanation": { - "type": "string", - "description": "Human-readable explanation of what changed" - } - }, - "required": ["model"] - } -} -``` - -**Expected Response:** -```json -{ - "success": true, - "model": { - "variables": [...], - "relationships": [...] - } -} -``` - -#### 3. run_model - -**Purpose:** Executes a simulation and returns time series data. - -```json -{ - "name": "run_model", - "description": "Run model simulation and return time series data", - "inputSchema": { - "type": "object", - "properties": { - "timeRange": { - "type": "object", - "description": "Simulation time configuration" - } - } - } -} -``` - -**Expected Response:** -```json -{ - "success": true, - "results": { - "series": [ - { "time": 0, "Population": 1000, "Births": 20 }, - { "time": 1, "Population": 1020, "Births": 20.4 } - ] - } -} -``` +--- ## Built-In Tools -The agent has access to these SD-AI engine tools: +All core tools are registered server-side. Clients do not need to register them. ### Model Generation - -1. **generate_quantitative_model** - Generate Stock Flow Diagrams (SFD) - - Creates fully quantitative models with stocks, flows, and equations - - Returns SD-JSON format model - -2. **generate_qualitative_model** - Generate Causal Loop Diagrams (CLD) - - Creates conceptual models showing causal relationships - - Returns SD-JSON format model +- **generate_quantitative_model** — Generate Stock Flow Diagrams (SFD) +- **generate_qualitative_model** — Generate Causal Loop Diagrams (CLD) ### Discussion & Analysis - -3. **discuss_model_with_seldon** - Expert SD discussion with Seldon - - Deep technical discussions about model structure and behavior - - Can request and use feedback loop analysis for enhanced insights - -4. **discuss_model_across_runs** - User-friendly discussion with run comparison - - Compare behavior across different simulation runs - - Explain why different scenarios produce different outcomes - -5. **discuss_with_mentor** - Friendly mentoring discussions - - User-friendly explanations without jargon - - Educational approach to modeling concepts +- **discuss_model_with_seldon** — Deep technical discussion with feedback loop analysis +- **discuss_model_across_runs** — Compare behavior across simulation runs +- **discuss_with_mentor** — User-friendly mentoring discussion ### Documentation +- **generate_documentation** — Auto-document model variables +- **generate_ltm_narrative** — Feedback loop dominance narratives (LTM) -6. **generate_documentation** - Auto-document model variables - - Generates descriptions and metadata for model elements - - Ensures model is well-documented +### Visualization +- **create_visualization** — Create SVG charts; supports `time_series`, `phase_portrait`, `feedback_dominance`, `comparison`, and AI-custom types -7. **generate_ltm_narrative** - Feedback loop narratives - - Creates Loop Transition Matrices (LTM) narratives - - Analyzes feedback loop dominance over time +### Client Model Interaction +- **get_current_model** — Fetch current model state from client +- **update_model** — Push model changes to client +- **run_model** — Trigger simulation run on client +- **get_run_info** — Get list of all simulation runs from client +- **get_variable_data** — Fetch time-series variable data from client -### Visualization +### Feedback +- **get_feedback_information** — Request feedback loop analysis from client (required before Seldon/LTM tools) -8. **create_visualization** - Create charts and plots - - Returns base64-encoded PNG images only - - Python/matplotlib for all visualizations - - AI-generated custom visualization code +### Large Model Utilities +- **read_model_section** — Read a section of a large model without loading it entirely +- **edit_model_section** — Edit a section of a large model in place + +--- ## Agent Configuration -Each agent is configured via YAML files in `agent/config/`: +Agents are configured via Markdown files in `agent/config/`. The server automatically discovers any `.md` file with a `name` frontmatter field. -- `ganos-lal.yaml` - Helpful mentor personality -- `myrddin.yaml` - Expert modeler personality +``` +agent/config/ + ganos-lal.md + myrddin.md +``` -**Key Configuration Sections:** +**Frontmatter fields:** ```yaml -agent: - name: "Ganos Lal" - description: "A helpful mentor..." - -instructions: - role: | - You are a friendly Systems Dynamics expert... - - constraints: - - "Never modify the model without explaining why" - - "Always validate before running simulations" - - workflows: - build_model: | - 1. Understand user requirements - 2. Create conceptual CLD first - 3. Build quantitative SFD - 4. Validate and test - -toolPolicies: - generate_quantitative_model: - when: "Building or significantly modifying an SFD model" - bestPractices: - - "Validate all equations" +--- +name: "Ganos Lal" +description: "System Dynamics mentor who uses Socratic questioning..." +version: "1.0" +max_iterations: 20 +supports: + - sfd + - cld +--- ``` -## Visualization System +The Markdown body below the frontmatter is the agent's full system prompt/instructions. -The agent creates visualizations using Python/matplotlib and always returns base64-encoded PNG images. +--- -### 1. Template-Based Visualizations (Default) +## Visualization System -Generates Python scripts using predefined templates for common visualization types. - -```javascript -{ - type: 'time_series', - variables: ['Population', 'Births'], - title: 'Population Dynamics' -} -``` +Visualizations are generated using Python/matplotlib and sent as raw SVG strings. **Supported types:** -- `time_series` - Time series line plots -- `phase_portrait` - Phase space diagrams -- `comparison` - Compare runs side-by-side +- `time_series` — Line plots of variables over time +- `phase_portrait` — State-space (stock vs. stock) diagrams +- `feedback_dominance` — Stacked area chart of loop influence over time +- `comparison` — Multi-run side-by-side comparison -### 2. AI-Custom Visualizations +**AI-custom visualizations:** Set `useAICustom: true` to have the AI generate custom matplotlib code for unique requirements. -Uses AI to write custom Python/matplotlib code for unique requirements. +**Output:** All visualizations are raw SVG strings — the `data` field in the `visualization` message is the SVG directly, not base64 or PNG. -```javascript -{ - variables: ['Population', 'Births'], - useAICustom: true, - dataDescription: 'Population shows exponential growth...', - visualizationGoal: 'Highlight the divergence between births and deaths', - customRequirements: 'Use a log scale for the y-axis' -} -``` - -**Temp File Management:** -- Session-specific folder: `/tmp/sd-agent-{sessionId}/` -- Files deleted immediately after visualization creation -- Folder cleaned up on session disconnect - -**Output:** -- All visualizations return base64-encoded PNG strings -- No JSON specs or other formats - images only +--- ## Example Client Implementation @@ -931,77 +708,42 @@ import WebSocket from 'ws'; const ws = new WebSocket('ws://localhost:3000/api/v1/agent'); let sessionId = null; -ws.on('open', () => { - console.log('Connected to agent server'); -}); - ws.on('message', (data) => { const message = JSON.parse(data); - console.log('Received:', message.type); switch (message.type) { case 'session_created': sessionId = message.sessionId; - // Send initialization ws.send(JSON.stringify({ type: 'initialize_session', authenticationKey: 'your-key', clientProduct: 'my-client', clientVersion: '1.0.0', modelType: 'sfd', - model: {}, - tools: [ - { - name: 'get_current_model', - description: 'Get current model', - inputSchema: { type: 'object', properties: {} } - }, - { - name: 'update_model', - description: 'Update model', - inputSchema: { - type: 'object', - properties: { - model: { type: 'object' } - } - } - } - ] + model: {} + // Optionally include custom tools here })); break; case 'session_ready': - // Select agent - ws.send(JSON.stringify({ - type: 'select_agent', - sessionId: sessionId, - agentId: 'ganos-lal' - })); + const agentId = message.defaults?.sfd || message.availableAgents[0]?.id; + ws.send(JSON.stringify({ type: 'select_agent', sessionId, agentId })); break; case 'agent_selected': - // Start conversation ws.send(JSON.stringify({ type: 'chat', - sessionId: sessionId, + sessionId, message: 'Build me a simple population model' })); break; - case 'tool_call_notification': - console.log(`Tool ${message.toolName} is being called (built-in: ${message.isBuiltIn})`); + case 'tool_call_request': + handleToolCallRequest(message); break; - case 'tool_call_request': - // Execute client tool - const result = executeClientTool(message.toolName, message.arguments); - ws.send(JSON.stringify({ - type: 'tool_call_response', - sessionId: sessionId, - callId: message.callId, - result: result, - isError: false - })); + case 'feedback_request': + handleFeedbackRequest(message); break; case 'agent_text': @@ -1009,13 +751,12 @@ ws.on('message', (data) => { break; case 'visualization': - console.log('Received visualization:', message.title); - // Display visualization using message.data.content - // Example: + // message.format === 'svg', message.data is a raw SVG string + displaySVG(message.data, message.title, message.description); break; case 'agent_complete': - console.log('Agent finished:', message.status); + console.log('Done:', message.status, message.finalMessage); break; case 'error': @@ -1024,29 +765,56 @@ ws.on('message', (data) => { } }); -// Stop agent iteration (e.g., on button click) -function stopAgent() { +function handleToolCallRequest(message) { + let result; + switch (message.toolName) { + case 'get_current_model': + result = { model: currentModel }; + break; + case 'update_model': + currentModel = message.arguments.modelData; + result = { success: true }; + break; + case 'run_model': + result = { runId: runSimulation() }; + break; + case 'get_run_info': + result = { runs: getAllRuns() }; + break; + case 'get_variable_data': + result = { variableData: getVariableData(message.arguments) }; + break; + default: + // Custom registered tool + result = executeCustomTool(message.toolName, message.arguments); + } ws.send(JSON.stringify({ - type: 'stop_iteration', - sessionId: sessionId + type: 'tool_call_response', + sessionId, + callId: message.callId, + result, + isError: false })); } -function executeClientTool(toolName, args) { - switch (toolName) { - case 'get_current_model': - return { model: currentModel }; - - case 'update_model': - currentModel = args.model; - return { success: true, model: currentModel }; +function handleFeedbackRequest(message) { + const feedbackContent = getFeedbackLoops(message.runIds); + ws.send(JSON.stringify({ + type: 'tool_call_response', + sessionId, + callId: message.requestId, + result: { feedbackContent, runIds: message.runIds }, + isError: false + })); +} - default: - return { error: `Unknown tool: ${toolName}` }; - } +function stopAgent() { + ws.send(JSON.stringify({ type: 'stop_iteration', sessionId })); } ``` +--- + ## Security & Scalability ### Authentication @@ -1057,53 +825,20 @@ Set `AUTHENTICATION_KEY` environment variable to enable authentication: export AUTHENTICATION_KEY="your-secret-key" ``` -Clients must include this in `initialize_session`. +Clients must include this in `initialize_session`. If the env var is not set, authentication is disabled. ### Stateless Design - No user data persisted server-side -- Sessions exist only in RAM -- Automatic cleanup on disconnect +- Sessions exist only in RAM, but do make use of a temporary directory for large model edits and visualization generation +- Per-session temp directory created on connect, deleted on disconnect - Safe for multi-user deployment -### Resource Limits - -- Max sessions: 1000 (configurable) -- Session timeout: 30 minutes inactive -- Max session age: 8 hours -- Temp folder monitoring - ### Scaling -- Horizontal scaling supported -- Use sticky sessions at load balancer -- OR: Use shared session store (Redis) - -## Troubleshooting - -### WebSocket won't connect +- Horizontal scaling supported with sticky sessions at the load balancer -- Check firewall allows WebSocket connections -- Verify path is `/api/v1/agent` -- Check server logs for errors - -### Tool call timeout - -- Client must respond within 30 seconds (configurable) -- Check client tool implementation -- Verify WebSocket connection is stable - -### Temp files not cleaned up - -- Check session cleanup logs -- Verify graceful shutdown handlers -- Monitor `/tmp/sd-agent-*/` directories - -### Visualization fails - -- Python 3 must be available -- matplotlib must be installed -- Check temp folder permissions +--- ## Development @@ -1115,7 +850,6 @@ npm start WebSocket server available at: `ws://localhost:3000/api/v1/agent` - ### Testing Use the included test client: `agent/test-client.html` From cfeb27540bbb6123e33b7e74e6bd216b062a29f9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 12:37:51 -0400 Subject: [PATCH 032/226] update main readme with a link to the agent readme --- README.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/README.md b/README.md index ebbf5554..84e56dd2 100644 --- a/README.md +++ b/README.md @@ -182,6 +182,23 @@ Models can be organized into modules for better structure and encapsulation: } ``` +# WebSocket AI Agent + +The `agent/` directory contains a WebSocket server that wraps the SD-AI engines in a conversational AI agent for building and modifying System Dynamics models interactively. + +**Key characteristics:** +- Stateless — all model state, run data, and conversation history live on the client +- All core tools are built-in (get/update model, run simulation, fetch variable data, feedback loops, visualizations) +- Clients can optionally register custom tools for application-specific behavior +- Agent personalities are configured via Markdown files in `agent/config/` +- Visualizations are returned as raw SVG strings + +**WebSocket endpoint:** `ws://localhost:3000/api/v1/agent` + +**Protocol summary:** client connects → `initialize_session` (model type + initial model) → `session_ready` (agent list) → `select_agent` → `chat` messages → agent responds with `agent_text`, `visualization`, and `tool_call_request` messages that the client must answer. + +See [agent/README.md](agent/README.md) for the full WebSocket protocol, all message types, tool call request/response formats, and example client implementation. + # Setup 1. fork this repo and git clone your fork locally 2. create an `.env` file at the top level which has the following keys: From dd88768050b31c184cc0730ec6f03aba20833a91 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 12:46:26 -0400 Subject: [PATCH 033/226] remove dumb instruction from myrddin --- agent/config/myrddin.md | 1 - 1 file changed, 1 deletion(-) diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index efe32657..ea643ad0 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -76,7 +76,6 @@ Create analytical visualizations: - Always plot reference modes alongside simulation output - Show phase portraits for non-linear dynamics - Display feedback loop dominance analysis -- Include confidence bounds where appropriate - Annotate key transition points and equilibria From 08f91d925222999d7e8c004781e984be148be660 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 13:13:49 -0400 Subject: [PATCH 034/226] strip dead code -- get specific on feedbackContent formats --- agent/tools/builtin/discussModelAcrossRuns.js | 4 +- agent/tools/builtin/discussModelWithSeldon.js | 12 +- agent/tools/builtin/discussWithMentor.js | 7 +- agent/tools/builtin/generateLtmNarrative.js | 8 +- agent/utilities/AgentConfigurationManager.js | 4 +- agent/utilities/AgentRegistry.js | 146 ---------- agent/utilities/EngineWrapper.js | 19 +- agent/utilities/MessageProtocol.js | 273 +++--------------- agent/utilities/SessionManager.js | 96 +----- agent/websocket.js | 20 +- 10 files changed, 76 insertions(+), 513 deletions(-) delete mode 100644 agent/utilities/AgentRegistry.js diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index cb6fc715..b65f529f 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { SDModelSchema, FeedbackContentSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonILEEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -13,7 +13,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send prompt: z.string().describe('Question or topic for discussion'), model: SDModelSchema.describe('The model to discuss'), runName: z.string().optional().describe('Simulation run ID for context'), - feedbackContent: z.object({}).passthrough().optional().describe('Feedback loop analysis data'), + feedbackContent: z.union([FeedbackContentSchema, z.record(z.string(), FeedbackContentSchema)]).optional().describe('Feedback content: either a single FeedbackContentSchema or a map of runId to FeedbackContentSchema'), parameters: z.object({ model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index aa696ce1..50445529 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { SDModelSchema, FeedbackContentSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -12,7 +12,7 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), model: SDModelSchema.describe('The model to discuss'), - feedbackLoops: z.array(z.any()).optional().describe('Feedback loop analysis data'), + feedbackContent: FeedbackContentSchema.optional(), parameters: z.object({ model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), @@ -20,16 +20,16 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), - handler: async ({ prompt, model, feedbackLoops, parameters }) => { + handler: async ({ prompt, model, feedbackContent, parameters }) => { try { - const result = await callSeldonEngine(prompt, model, feedbackLoops, parameters); + const result = await callSeldonEngine(prompt, model, feedbackContent, parameters); if (!result.success) { return createErrorResponse(result.error); } // Check if feedback information is required but not provided - if (result.output.feedbackInformationRequired && !feedbackLoops) { + if (result.output.feedbackInformationRequired && !feedbackContent) { // Get feedback information from client const session = sessionManager.getSession(sessionId); if (!session) { @@ -56,7 +56,7 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send const feedbackData = await resultPromise; // Retry the call with feedback information - const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent.loops, parameters); + const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent, parameters); if (!retryResult.success) { return createErrorResponse(retryResult.error); diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index 570ecf0e..fbbe08d3 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema } from '../../utilities/MessageProtocol.js'; +import { SDModelSchema, FeedbackContentSchema } from '../../utilities/MessageProtocol.js'; import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -12,15 +12,16 @@ export function createDiscussWithMentorTool(sessionManager, sessionId) { inputSchema: z.object({ prompt: z.string().describe('The question or guidance to provide to the user'), model: SDModelSchema.describe('The model being discussed'), + feedbackContent: FeedbackContentSchema.optional(), parameters: z.object({ model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM') }).optional() }), - handler: async ({ prompt, model, parameters }) => { + handler: async ({ prompt, model, feedbackContent, parameters }) => { try { - const result = await callSeldonMentorEngine(prompt, model, parameters); + const result = await callSeldonMentorEngine(prompt, model, feedbackContent, parameters); if (!result.success) { return createErrorResponse(result.error); diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index feaeb4f0..05f83272 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema } from '../../utilities/MessageProtocol.js'; +import { SDModelSchema, FeedbackContentSchema } from '../../utilities/MessageProtocol.js'; import { callLTMEngine } from '../../utilities/EngineWrapper.js'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -11,14 +11,14 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', inputSchema: z.object({ model: SDModelSchema.describe('The model to analyze'), - feedbackLoops: z.array(z.any()).describe('Feedback loop analysis data'), + feedbackContent: FeedbackContentSchema, parameters: z.object({ model: z.string().optional() }).optional() }), - handler: async ({ model, feedbackLoops, parameters }) => { + handler: async ({ model, feedbackContent, parameters }) => { try { - const result = await callLTMEngine(model, feedbackLoops, parameters); + const result = await callLTMEngine(model, feedbackContent, parameters); if (!result.success) { return createErrorResponse(result.error); diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 8d0acbfc..d197c7fd 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -34,7 +34,9 @@ NEVER switch between CLD and SFD during a session. - SFDs have equations and can be simulated to produce time series behavior - Use run_model, get_run_data, and create_visualization for SFDs only - ALWAYS check that stocks and variables that represent physical quantities (population, inventory, resources, etc.) cannot go negative -- Add appropriate constraints prevent negative values where they are physically impossible +- Add appropriate constraints to prevent negative values where they are physically impossible +- Stocks often go negative when there is no first order control on their flows. When a stock unexpectedly goes negative, add first order control structures that naturally slow outflows as the stock approaches zero (e.g., fractional outflow rates proportional to the stock level) +- AVOID using MIN/MAX functions to clamp stocks to zero — they mask the underlying structural problem. Fix the model structure instead. ## CRITICAL: Visualization Requests When a user requests a visualization: diff --git a/agent/utilities/AgentRegistry.js b/agent/utilities/AgentRegistry.js deleted file mode 100644 index 0991711c..00000000 --- a/agent/utilities/AgentRegistry.js +++ /dev/null @@ -1,146 +0,0 @@ -import { readdirSync, readFileSync } from 'fs'; -import { join, dirname } from 'path'; -import { fileURLToPath } from 'url'; -import logger from '../../utilities/logger.js'; - -const __filename = fileURLToPath(import.meta.url); -const __dirname = dirname(__filename); - -/** - * AgentRegistry - * Scans the agent/config directory and provides a list of available agents - */ - -/** - * Parse YAML frontmatter from MD file - * @param {string} content - The file content - * @returns {object} Parsed metadata - */ -function parseFrontmatter(content) { - const frontmatterRegex = /^---\n([\s\S]*?)\n---/; - const match = content.match(frontmatterRegex); - - if (!match) { - return {}; - } - - const metadata = {}; - const lines = match[1].split('\n'); - let currentKey = null; - let currentArray = null; - - for (const line of lines) { - const trimmed = line.trim(); - if (!trimmed) continue; - - // Check for array item - if (trimmed.startsWith('- ') && currentArray) { - currentArray.push(trimmed.substring(2).trim()); - } - // Check for key-value pair - else if (trimmed.includes(':')) { - const colonIndex = trimmed.indexOf(':'); - const key = trimmed.substring(0, colonIndex).trim(); - const value = trimmed.substring(colonIndex + 1).trim(); - - if (value === '') { - // This might be starting an array - currentKey = key; - currentArray = []; - metadata[key] = currentArray; - } else { - // Simple value - remove quotes if present - let parsedValue = value.replace(/^["']|["']$/g, ''); - // Try to parse as number - if (!isNaN(parsedValue) && parsedValue !== '') { - parsedValue = Number(parsedValue); - } - metadata[key] = parsedValue; - currentKey = null; - currentArray = null; - } - } - } - - return metadata; -} - -/** - * Get all available agents by scanning the config directory - * @returns {Array} Array of agent definitions - */ -export function getAvailableAgents() { - const configDir = join(__dirname, '../config'); - const agents = []; - - try { - const files = readdirSync(configDir); - - for (const file of files) { - // Skip non-MD files - if (!file.endsWith('.md')) { - continue; - } - - try { - const filePath = join(configDir, file); - const content = readFileSync(filePath, 'utf8'); - const metadata = parseFrontmatter(content); - - // Extract agent metadata - if (metadata.name) { - const agentId = file.replace(/\.md$/, ''); - agents.push({ - id: agentId, - name: metadata.name, - description: metadata.description || '', - version: metadata.version || '1.0', - configFile: file - }); - } - } catch (error) { - logger.warn(`Failed to load agent config from ${file}:`, error.message); - } - } - - logger.log(`Found ${agents.length} agent(s)`); - return agents; - } catch (error) { - logger.error('Failed to scan agent config directory:', error); - return []; - } -} - -/** - * Get agent config by ID - * @param {string} agentId - The agent ID (filename without extension) - * @returns {object|null} Agent configuration or null if not found - */ -export function getAgentConfig(agentId) { - const configDir = join(__dirname, '../config'); - const configFile = `${agentId}.md`; - const filePath = join(configDir, configFile); - - try { - const content = readFileSync(filePath, 'utf8'); - const metadata = parseFrontmatter(content); - return { agent: metadata }; - } catch (error) { - logger.error(`Failed to load agent config for ${agentId}:`, error); - return null; - } -} - -/** - * Get default agent ID - * @returns {string} The default agent ID - */ -export function getDefaultAgentId() { - // Try to use ganos-lal as default, fall back to first available - const agents = getAvailableAgents(); - const ganosLal = agents.find(a => a.id === 'ganos-lal'); - if (ganosLal) { - return 'ganos-lal'; - } - return agents.length > 0 ? agents[0].id : null; -} diff --git a/agent/utilities/EngineWrapper.js b/agent/utilities/EngineWrapper.js index dc95ffc3..47223a8b 100644 --- a/agent/utilities/EngineWrapper.js +++ b/agent/utilities/EngineWrapper.js @@ -70,16 +70,15 @@ export async function callQualitativeEngine(prompt, currentModel, parameters = { /** * Call Seldon (expert discussion) */ -export async function callSeldonEngine(prompt, model, feedbackLoops, parameters = {}) { +export async function callSeldonEngine(prompt, model, feedbackContent, parameters = {}) { try { const { default: SeldonEngine } = await import('../../engines/seldon/engine.js'); const engine = new SeldonEngine(parameters); - // Prepare parameters for Seldon const seldonParams = { ...parameters, - feedbackContent: feedbackLoops ? { feedbackLoops } : undefined + ...(feedbackContent && { feedbackContent }) }; const result = await engine.generate(prompt, model, seldonParams); @@ -159,16 +158,15 @@ export async function callDocumentationEngine(model, parameters = {}) { /** * Call LTM Narrative Engine */ -export async function callLTMEngine(model, feedbackLoops, parameters = {}) { +export async function callLTMEngine(model, feedbackContent, parameters = {}) { try { const { default: LTMEngine } = await import('../../engines/ltm-narrative/engine.js'); const engine = new LTMEngine(parameters); - // LTM needs feedback loop content const ltmParams = { ...parameters, - feedbackContent: { feedbackLoops } + feedbackContent }; const result = await engine.generate('', model, ltmParams); @@ -191,13 +189,18 @@ export async function callLTMEngine(model, feedbackLoops, parameters = {}) { /** * Call Seldon Mentor Engine */ -export async function callSeldonMentorEngine(prompt, model, parameters = {}) { +export async function callSeldonMentorEngine(prompt, model, feedbackContent, parameters = {}) { try { const { default: SeldonMentorEngine } = await import('../../engines/seldon-mentor/engine.js'); const engine = new SeldonMentorEngine(parameters); - const result = await engine.generate(prompt, model, parameters); + const mentorParams = { + ...parameters, + ...(feedbackContent && { feedbackContent }) + }; + + const result = await engine.generate(prompt, model, mentorParams); return { success: true, diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index cb92ceb4..e3e6c762 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -14,16 +14,41 @@ import { z } from 'zod'; * Accepts any model structure (CLD or SFD) with minimal validation * Uses catchall to allow additional fields defined by LLMWrapper schemas */ -export const SDVariableSchema = z.object({ +const SDVariableSchema = z.object({ name: z.string(), type: z.string() }).catchall(z.any()); -export const SDRelationshipSchema = z.object({ +const SDRelationshipSchema = z.object({ from: z.string(), to: z.string() }).catchall(z.any()); +const FeedbackLoopSchema = z.object({ + identifier: z.string(), + name: z.string(), + links: z.array(z.object({ + from: z.string(), + to: z.string(), + polarity: z.string() + })), + polarity: z.string(), + loopset: z.number().optional(), + 'Percent of Model Behavior Explained By Loop': z.array(z.object({ + time: z.number(), + value: z.number() + })).optional() +}); + +export const FeedbackContentSchema = z.object({ + feedbackLoops: z.array(FeedbackLoopSchema), + dominantLoopsByPeriod: z.array(z.object({ + dominantLoops: z.array(z.string()), + startTime: z.number(), + endTime: z.number() + })).optional() +}).describe('Feedback loop analysis data'); + export const SDModelSchema = z.object({ variables: z.array(SDVariableSchema).optional(), relationships: z.array(SDRelationshipSchema).optional(), @@ -34,33 +59,11 @@ export const SDModelSchema = z.object({ title: z.string().optional() }).catchall(z.any()).describe('SD-JSON model structure (CLD or SFD)'); -/** - * Feedback Content Schema - * Used for feedback loop analysis data - */ -export const FeedbackContentSchema = z.object({ - feedbackLoops: z.array(z.object({ - identifier: z.string(), - name: z.string(), - links: z.array(z.object({ - from: z.string(), - to: z.string(), - polarity: z.enum(['+', '-', '?']) - }).catchall(z.any())), - polarity: z.enum(['+', '-', '?']) - }).catchall(z.any())), - dominantLoopsByPeriod: z.array(z.object({ - dominantLoops: z.array(z.string()), - startTime: z.number(), - endTime: z.number() - })).optional() -}).catchall(z.any()).describe('Feedback loop analysis data including loops and optional dominant loops by period'); - // ============================================================================ // CLIENT → SERVER MESSAGES // ============================================================================ -export const ToolDefinitionSchema = z.object({ +const ToolDefinitionSchema = z.object({ name: z.string().describe('Unique name identifier for the tool'), description: z.string().describe('Human-readable description of what the tool does'), inputSchema: z.object({ @@ -70,7 +73,7 @@ export const ToolDefinitionSchema = z.object({ }).describe('JSON Schema defining the tool input parameters') }); -export const HistoricalMessageSchema = z.object({ +const HistoricalMessageSchema = z.object({ type: z.enum(['agent_text', 'visualization', 'agent_complete', 'user_text']).describe('Type of historical message'), content: z.string().optional().describe('Text content (for agent_text, agent_complete, and user_text messages)'), isThinking: z.boolean().optional().describe('Whether this is thinking text (for agent_text messages)'), @@ -95,7 +98,7 @@ export const InitializeSessionMessageSchema = z.object({ timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); -export const SelectAgentMessageSchema = z.object({ +const SelectAgentMessageSchema = z.object({ type: z.literal('select_agent').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), agentId: z.string().describe('Agent ID to use (e.g., "myrddin", "ganos-lal")'), @@ -109,7 +112,7 @@ export const ChatMessageSchema = z.object({ timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); -export const ToolCallResponseMessageSchema = z.object({ +const ToolCallResponseMessageSchema = z.object({ type: z.literal('tool_call_response').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), callId: z.string().describe('The call ID from the tool_call_request being responded to'), @@ -126,18 +129,18 @@ export const ModelUpdatedNotificationSchema = z.object({ timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); -export const StopIterationMessageSchema = z.object({ +const StopIterationMessageSchema = z.object({ type: z.literal('stop_iteration').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); -export const DisconnectMessageSchema = z.object({ +const DisconnectMessageSchema = z.object({ type: z.literal('disconnect').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier for the session to disconnect') }); -export const ClientMessageSchema = z.discriminatedUnion('type', [ +const ClientMessageSchema = z.discriminatedUnion('type', [ InitializeSessionMessageSchema, SelectAgentMessageSchema, ChatMessageSchema, @@ -147,174 +150,6 @@ export const ClientMessageSchema = z.discriminatedUnion('type', [ DisconnectMessageSchema ]); -// ============================================================================ -// SERVER → CLIENT MESSAGES -// ============================================================================ - -export const SessionCreatedMessageSchema = z.object({ - type: z.literal('session_created').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier for the newly created session'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const SessionReadyMessageSchema = z.object({ - type: z.literal('session_ready').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - availableAgents: z.array(z.object({ - id: z.string().describe('Unique agent identifier'), - name: z.string().describe('Human-readable agent name'), - description: z.string().describe('Description of the agent capabilities and personality') - })).describe('List of available agents the client can select from'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const AgentSelectedMessageSchema = z.object({ - type: z.literal('agent_selected').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - agentId: z.string().describe('The ID of the agent that was selected'), - agentName: z.string().describe('The human-readable name of the agent that was selected'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const AgentTextMessageSchema = z.object({ - type: z.literal('agent_text').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - content: z.string().describe('The text content from the agent (response, explanation, or thinking process)'), - isThinking: z.boolean().optional().default(false).describe('Whether this is thinking/reasoning text (true) or final response text (false)'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const ToolCallNotificationMessageSchema = z.object({ - type: z.literal('tool_call_notification').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - callId: z.string().describe('Unique identifier for this tool call'), - toolName: z.string().describe('Name of the tool being called'), - arguments: z.record(z.string(), z.any()).describe('Map of argument names to values being passed to the tool'), - isBuiltIn: z.boolean().describe('Whether this is a built-in tool (true) or client tool (false)'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const ToolCallRequestMessageSchema = z.object({ - type: z.literal('tool_call_request').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - callId: z.string().describe('Unique identifier for this tool call, used to match with the response'), - toolName: z.string().describe('Name of the client tool to execute'), - arguments: z.record(z.string(), z.any()).describe('Map of argument names to values to pass to the tool'), - timeout: z.number().optional().default(30000).describe('Timeout for client tool execution in milliseconds'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const ToolCallCompletedMessageSchema = z.object({ - type: z.literal('tool_call_completed').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - callId: z.string().describe('The call ID from the tool_call_request or tool_call_notification'), - toolName: z.string().describe('Name of the tool that was executed'), - result: z.any().describe('The result data from the tool execution, or error message if isError is true'), - isError: z.boolean().optional().default(false).describe('Whether the tool execution resulted in an error'), - responseType: z.enum(['model', 'discuss', 'ltm-discuss', 'other']).optional().describe('Type of response: model (model generation), discuss (Seldon discussion), ltm-discuss (LTM narrative), or other'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const VisualizationMessageSchema = z.object({ - type: z.literal('visualization').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - visualizationId: z.string().describe('Unique identifier for this visualization'), - title: z.string().describe('Human-readable title of the visualization'), - description: z.string().optional().describe('Optional detailed description of what the visualization shows'), - format: z.literal('image').describe('Visualization format: image (base64-encoded static image)'), - data: z.object({ - encoding: z.literal('base64').describe('Image encoding type'), - mimeType: z.string().describe('MIME type of the image (e.g., "image/png")'), - content: z.string().describe('Base64-encoded image data'), - width: z.number().describe('Image width in pixels'), - height: z.number().describe('Image height in pixels') - }).describe('Image visualization data'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const AgentCompleteMessageSchema = z.object({ - type: z.literal('agent_complete').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - finalMessage: z.string().optional().describe('Optional final message from the agent summarizing the completion'), - status: z.enum(['success', 'error', 'awaiting_user']).describe('Completion status: success (task completed), error (failed), or awaiting_user (waiting for user input)'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const ErrorMessageSchema = z.object({ - type: z.literal('error').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - error: z.string().describe('Human-readable error message'), - errorCode: z.string().optional().describe('Optional machine-readable error code for categorizing the error'), - recoverable: z.boolean().optional().default(true).describe('Whether the error is recoverable (session can continue) or fatal (session must end)'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const FeedbackRequestMessageSchema = z.object({ - type: z.literal('feedback_request').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - requestId: z.string().describe('Unique request identifier for tracking the response'), - runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for. Empty array means the current/most recent run.'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const GetCurrentModelMessageSchema = z.object({ - type: z.literal('get_current_model').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - requestId: z.string().describe('Unique request identifier for tracking the response'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const UpdateModelMessageSchema = z.object({ - type: z.literal('update_model').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - requestId: z.string().describe('Unique request identifier for tracking the response'), - modelData: z.any().describe('The model data to update in the client (can be complete model or partial update)'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const RunModelMessageSchema = z.object({ - type: z.literal('run_model').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - requestId: z.string().describe('Unique request identifier for tracking the response'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const GetRunInfoMessageSchema = z.object({ - type: z.literal('get_run_info').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - requestId: z.string().describe('Unique request identifier for tracking the response'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const GetVariableDataMessageSchema = z.object({ - type: z.literal('get_variable_data').describe('Message type identifier'), - sessionId: z.string().describe('Unique session identifier'), - requestId: z.string().describe('Unique request identifier for tracking the response'), - variableNames: z.array(z.string()).describe('List of variable names to get data for'), - runIds: z.array(z.string()).describe('List of run IDs to get variable data from'), - detailed: z.boolean().optional().describe('Whether to return detailed data suitable for plotting (default: false). When true, returns more data points for visualization purposes.'), - timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') -}); - -export const ServerMessageSchema = z.discriminatedUnion('type', [ - SessionCreatedMessageSchema, - SessionReadyMessageSchema, - AgentSelectedMessageSchema, - AgentTextMessageSchema, - ToolCallNotificationMessageSchema, - ToolCallRequestMessageSchema, - ToolCallCompletedMessageSchema, - VisualizationMessageSchema, - FeedbackRequestMessageSchema, - GetCurrentModelMessageSchema, - UpdateModelMessageSchema, - RunModelMessageSchema, - GetRunInfoMessageSchema, - GetVariableDataMessageSchema, - AgentCompleteMessageSchema, - ErrorMessageSchema -]); - // ============================================================================ // MESSAGE VALIDATION HELPERS // ============================================================================ @@ -334,21 +169,6 @@ export function validateClientMessage(message) { } } -export function validateServerMessage(message) { - try { - return { - success: true, - data: ServerMessageSchema.parse(message) - }; - } catch (error) { - return { - success: false, - error: error.message, - details: error.errors - }; - } -} - // ============================================================================ // MESSAGE BUILDERS // ============================================================================ @@ -403,18 +223,6 @@ export function createToolCallNotificationMessage(sessionId, callId, toolName, a }; } -export function createToolCallRequestMessage(sessionId, callId, toolName, args, timeout = 30000) { - return { - type: 'tool_call_request', - sessionId, - callId, - toolName, - arguments: args, - timeout, - timestamp: new Date().toISOString() - }; -} - export function createToolCallCompletedMessage(sessionId, callId, toolName, result, isError = false, responseType = null) { return { type: 'tool_call_completed', @@ -428,19 +236,6 @@ export function createToolCallCompletedMessage(sessionId, callId, toolName, resu }; } -export function createVisualizationMessage(sessionId, vizId, title, data, description = undefined) { - return { - type: 'visualization', - sessionId, - visualizationId: vizId, - title, - ...(description && { description }), - format: 'image', - data, - timestamp: new Date().toISOString() - }; -} - export function createAgentCompleteMessage(sessionId, status, finalMessage) { return { type: 'agent_complete', diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index b796f81e..63567efe 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -1,7 +1,7 @@ import { randomBytes } from 'crypto'; import { tmpdir } from 'os'; import { join } from 'path'; -import { existsSync, mkdirSync, readdirSync, statSync, rmSync } from 'fs'; +import { existsSync, mkdirSync, readdirSync, rmSync } from 'fs'; import logger from '../../utilities/logger.js'; import config from '../../config.js'; @@ -153,6 +153,14 @@ export class SessionManager { } } + /** + * Get the current client model + */ + getClientModel(sessionId) { + const session = this.getSession(sessionId); + return session?.clientModel; + } + /** * Update model token count and check if it exceeds limit */ @@ -180,14 +188,6 @@ export class SessionManager { return session?.modelTokenCount || 0; } - /** - * Get the current client model - */ - getClientModel(sessionId) { - const session = this.getSession(sessionId); - return session?.clientModel; - } - /** * Get session temp directory */ @@ -392,84 +392,6 @@ export class SessionManager { } } - /** - * Get temp directory sizes for monitoring - */ - getTempDirSizes() { - const sizes = []; - - for (const [sessionId, session] of this.sessions.entries()) { - const size = this.getDirectorySize(session.tempDir); - const fileCount = this.getFileCount(session.tempDir); - - sizes.push({ - sessionId, - tempDir: session.tempDir, - size, - fileCount, - age: Date.now() - session.createdAt, - lastActivity: Date.now() - session.lastActivity - }); - } - - return sizes; - } - - /** - * Get directory size in bytes - */ - getDirectorySize(dirPath) { - let totalSize = 0; - - try { - if (existsSync(dirPath)) { - const files = readdirSync(dirPath); - for (const file of files) { - const stats = statSync(join(dirPath, file)); - totalSize += stats.size; - } - } - } catch (err) { - // Directory doesn't exist or can't be read - } - - return totalSize; - } - - /** - * Get file count in directory - */ - getFileCount(dirPath) { - try { - if (existsSync(dirPath)) { - return readdirSync(dirPath).length; - } - } catch (err) { - // Directory doesn't exist or can't be read - } - return 0; - } - - /** - * Get stats (for monitoring endpoint) - */ - getStats() { - const totalMessages = Array.from(this.sessions.values()) - .reduce((sum, s) => sum + s.messageCount, 0); - const totalToolCalls = Array.from(this.sessions.values()) - .reduce((sum, s) => sum + s.toolCallCount, 0); - const totalPendingCalls = Array.from(this.sessions.values()) - .reduce((sum, s) => sum + s.pendingToolCalls.size, 0); - - return { - activeSessions: this.sessions.size, - totalMessages, - totalToolCalls, - totalPendingCalls, - tempDirInfo: this.getTempDirSizes() - }; - } - /** * Shutdown - cleanup all sessions */ diff --git a/agent/websocket.js b/agent/websocket.js index 544139e7..6e5e61d7 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -17,16 +17,10 @@ import utils from '../utilities/utils.js'; const __filename = fileURLToPath(import.meta.url); const __dirname = dirname(__filename); -/** - * Parse YAML frontmatter from MD file - */ function parseFrontmatter(content) { const frontmatterRegex = /^---\n([\s\S]*?)\n---/; const match = content.match(frontmatterRegex); - - if (!match) { - return {}; - } + if (!match) return {}; const metadata = {}; const lines = match[1].split('\n'); @@ -36,27 +30,19 @@ function parseFrontmatter(content) { const trimmed = line.trim(); if (!trimmed) continue; - // Check for array item if (trimmed.startsWith('- ') && currentArray) { currentArray.push(trimmed.substring(2).trim()); - } - // Check for key-value pair - else if (trimmed.includes(':')) { + } else if (trimmed.includes(':')) { const colonIndex = trimmed.indexOf(':'); const key = trimmed.substring(0, colonIndex).trim(); const value = trimmed.substring(colonIndex + 1).trim(); if (value === '') { - // This might be starting an array currentArray = []; metadata[key] = currentArray; } else { - // Simple value - remove quotes if present let parsedValue = value.replace(/^["']|["']$/g, ''); - // Try to parse as number - if (!isNaN(parsedValue) && parsedValue !== '') { - parsedValue = Number(parsedValue); - } + if (!isNaN(parsedValue) && parsedValue !== '') parsedValue = Number(parsedValue); metadata[key] = parsedValue; currentArray = null; } From 42faa09c06ef7d8c62a0251c99663d4719a3c0fb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 22 Apr 2026 14:11:27 -0400 Subject: [PATCH 035/226] tell agents they can't edit SFD or CLD layout --- agent/config/ganos-lal.md | 3 ++- agent/config/myrddin.md | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index 3f0c90ac..3a65eac4 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -32,7 +32,8 @@ IMPORTANT RULES: 8. Keep models simple and educational unless the user specifically requests otherwise 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! 10. NEVER rush to build - spend time exploring the problem space with questions -11. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models +11. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. +12. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - First call get_run_data to get time series data for key variables - Then call create_visualization to generate charts - Users learn better when they can SEE the model behavior diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index ea643ad0..ded2962e 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -25,6 +25,7 @@ IMPORTANT RULES: 6. Explain the theoretical basis for your modeling decisions 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! 8. Assume NO limits on complexity - build comprehensive models as needed +9. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. ## Loops That Matter (LTM) Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. From 07369b36faf6305012c54e98606e7bc8cfb70c28 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 08:23:23 -0400 Subject: [PATCH 036/226] let ganos-lal be more complex --- agent/config/ganos-lal.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index 3a65eac4..35ea40f6 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -29,7 +29,7 @@ IMPORTANT RULES: 5. Ask MANY questions to understand user's thinking and guide their learning 6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! 7. Wait for user responses before proceeding - questions should STOP your workflow -8. Keep models simple and educational unless the user specifically requests otherwise +8. Keep models simple and educational by default, but you are allowed to build more complex models if the user asks — when doing so, iterate with the user through the complexity incrementally rather than building it all at once 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! 10. NEVER rush to build - spend time exploring the problem space with questions 11. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. @@ -89,6 +89,7 @@ When helping users build models, follow this SLOW, DELIBERATE process: - "How complex should this model be?" - Simple (5-10 variables, 1-2 stocks) - Moderate (11-20 variables, 2-4 stocks) + - Complex (More then 20 variables, more then 5 stocks) - Or would you prefer to specify? DO NOT proceed until user answers! @@ -291,6 +292,7 @@ Focus on educational validation: - variables: User-specified (ask first, default to simple 5-10 variables) - stocks: User-specified (ask first, default to 1-2 stocks) - feedback_loops: User-specified (ask first, default to up to 10 loops) +- If the user requests a more complex model, you are allowed to build it — iterate with the user to accomplish this incrementally - All variables must have documentation - All variables must have units - All equations must be validated \ No newline at end of file From 1cc7cdbd931114cbc8401859201959d988e09869 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 09:09:41 -0400 Subject: [PATCH 037/226] the agent config determines claude sdk or my home rolled loop. ganos-lal sucked with claude code sdk! --- agent/AgentOrchestrator.js | 93 ++++++++++++++----- agent/config/ganos-lal.md | 1 + agent/config/myrddin.md | 1 + .../builtin/generateQuantitativeModel.js | 2 +- agent/utilities/AgentConfigurationManager.js | 10 ++ agent/utilities/SessionManager.js | 2 +- agent/websocket.js | 12 ++- config.js | 11 ++- 8 files changed, 100 insertions(+), 32 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 358d032c..b1f546ca 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -53,7 +53,7 @@ export class AgentOrchestrator { apiKey: process.env.ANTHROPIC_API_KEY }); - logger.log(`AgentOrchestrator initialized for session ${sessionId} (useAgentSDK: ${config.useAgentSDK})`); + logger.log(`AgentOrchestrator initialized for session ${sessionId} (useAgentSDK: ${this.configManager.getUseAgentSDK()})`); } /** @@ -66,21 +66,25 @@ export class AgentOrchestrator { /** * Start a conversation with the agent */ - async startConversation(userMessage) { + async startConversation(userMessage, previousAgentContext = null) { try { const session = this.sessionManager.getSession(this.sessionId); if (!session) { throw new Error(`Session not found: ${this.sessionId}`); } - logger.log(`Starting conversation for session ${this.sessionId} (mode: ${config.useAgentSDK ? 'SDK' : 'manual'})`); + const useAgentSDK = this.configManager.getUseAgentSDK(); + logger.log(`Starting conversation for session ${this.sessionId} (mode: ${useAgentSDK ? 'SDK' : 'manual'})`); logger.log(`Built-in tools: ${this.builtInToolProvider.getToolNames().join(', ')}`); logger.log(`Client tools: ${this.dynamicToolProvider.getToolNames().join(', ')}`); - // Branch based on configuration - if (config.useAgentSDK) { - await this.startConversationWithSDK(userMessage); + // Branch based on agent configuration + if (useAgentSDK) { + await this.startConversationWithSDK(userMessage, previousAgentContext); } else { + if (previousAgentContext?.length > 0) { + logger.debug(`[Agent switch → manual] Replaying ${previousAgentContext.length} messages from prior agent:`, JSON.stringify(previousAgentContext, null, 2)); + } await this.startConversationManual(userMessage); } @@ -123,9 +127,16 @@ export class AgentOrchestrator { /** * Start conversation using Claude Agent SDK */ - async startConversationWithSDK(userMessage) { + async startConversationWithSDK(userMessage, previousAgentContext = null) { const session = this.sessionManager.getSession(this.sessionId); const modelType = session.modelType; + + // Track user message for cross-mode replay (SDK → manual on future switch) + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'user', + content: userMessage + }); + let systemPrompt = this.configManager.buildSystemPrompt(modelType); // Check model token count and handle large models (for SDK mode) @@ -138,7 +149,7 @@ export class AgentOrchestrator { this.sessionManager.updateModelTokenCount(this.sessionId, tokenCount); modelExceedsLimit = this.sessionManager.modelExceedsTokenLimit(this.sessionId); - logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.maxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); // If model exceeds limit, write to disk if (modelExceedsLimit && tokenCount > 0) { @@ -150,7 +161,7 @@ export class AgentOrchestrator { logger.log(`Model exceeds token limit. Written to: ${modelPath}`); // Add system message to inform Claude about filesystem tools - const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.maxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n- **Read, Edit, Write**: Use the built-in filesystem tools to directly read and edit the model file at the path above\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory.`; + const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n- **Read, Edit, Write**: Use the built-in filesystem tools to directly read and edit the model file at the path above\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory.`; systemPrompt += systemMessage; } catch (err) { @@ -159,14 +170,13 @@ export class AgentOrchestrator { } } - // Start SDK conversation loop - await this.runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit); + await this.runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit, previousAgentContext); } /** * Run agent conversation using Claude Agent SDK */ - async runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit) { + async runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit, previousAgentContext = null) { // Create abort controller for stop iteration this.abortController = new AbortController(); @@ -210,7 +220,7 @@ export class AgentOrchestrator { const queryOptions = { abortController: this.abortController, systemPrompt: systemPrompt, - model: 'claude-sonnet-4-6', + model: config.agentModel, maxTokens: 8192, maxTurns: maxIterations, mcpServers: mcpServers, @@ -227,9 +237,17 @@ export class AgentOrchestrator { logger.log(`Starting new SDK conversation`); } + // Build prompt - inject prior agent's history as plain string prefix on agent switch + let prompt = userMessage; + if (previousAgentContext?.length > 0 && !this.sdkSessionId) { + logger.debug(`[Agent switch → SDK] Replaying ${previousAgentContext.length} messages from prior agent:`, JSON.stringify(previousAgentContext, null, 2)); + const contextText = await this.buildPriorContextText(previousAgentContext); + prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; + } + // Create query iterator with Agent SDK const queryIterator = query({ - prompt: userMessage, + prompt, options: queryOptions }); @@ -327,10 +345,12 @@ export class AgentOrchestrator { */ async handleAssistantMessage(message) { const content = message.message?.content; + const rawTextParts = []; if (content && Array.isArray(content)) { for (const block of content) { if (block.type === 'text' && block.text) { + rawTextParts.push(block.text); const html = await marked.parse(block.text); await this.sendToClient(createAgentTextMessage(this.sessionId, html, false)); } @@ -382,6 +402,14 @@ export class AgentOrchestrator { } } } + + // Track client-facing text for cross-mode replay (SDK → manual) + if (rawTextParts.length > 0) { + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'assistant', + content: rawTextParts.join('\n') + }); + } } /** @@ -507,7 +535,7 @@ export class AgentOrchestrator { this.sessionManager.updateModelTokenCount(this.sessionId, tokenCount); modelExceedsLimit = this.sessionManager.modelExceedsTokenLimit(this.sessionId); - logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.maxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); // If this is the first time exceeding the limit, write model to disk if (modelExceedsLimit && tokenCount > 0) { @@ -519,7 +547,7 @@ export class AgentOrchestrator { logger.log(`Model exceeds token limit. Written to: ${modelPath}`); // Add system message to inform Claude about the switch - const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.maxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory. Use read_model_section first to inspect the parts you need, then use edit_model_section to make targeted changes.`; + const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory. Use read_model_section first to inspect the parts you need, then use edit_model_section to make targeted changes.`; systemPrompt += systemMessage; } catch (err) { @@ -539,7 +567,7 @@ export class AgentOrchestrator { iteration++; // Limit message history to prevent context overflow using LLM summarization - const MAX_CONTEXT_TOKENS = config.maxContextTokens; + const MAX_CONTEXT_TOKENS = config.agentMaxContextTokens; // Calculate current message history token count const messagesJson = JSON.stringify(messages); @@ -590,7 +618,7 @@ export class AgentOrchestrator { try { // Call Claude API const response = await this.anthropic.messages.create({ - model: 'claude-sonnet-4-6', + model: config.agentModel, max_tokens: 8192, system: systemPrompt, messages: messages, @@ -671,10 +699,10 @@ export class AgentOrchestrator { false )); - // Add to conversation history + // Add to conversation history (raw markdown, not HTML, for cross-mode replay) this.sessionManager.addToConversationHistory(this.sessionId, { role: 'assistant', - content: text + content: block.text }); } else if (block.type === 'tool_use') { hasToolCalls = true; @@ -817,6 +845,27 @@ export class AgentOrchestrator { return response.stop_reason === 'max_tokens'; } + /** + * Build prior-history context text, summarizing if it exceeds the token budget. + * Used when injecting prior agent context into an SDK session. + */ + async buildPriorContextText(history) { + const PRIOR_CONTEXT_TOKEN_LIMIT = 4000; + const tokenCount = countTokens(JSON.stringify(history)); + + if (tokenCount > PRIOR_CONTEXT_TOKEN_LIMIT) { + logger.log(`Prior agent context too large (${tokenCount} tokens), summarizing before SDK injection`); + const summary = await this.summarizeMessageHistory(history); + return summary.content; + } + + return history.map(msg => { + const role = msg.role === 'user' ? 'User' : 'Assistant'; + const text = typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content); + return `${role}: ${text}`; + }).join('\n\n'); + } + /** * Summarize message history using LLM when it exceeds token limits * @param {Array} messages - The messages array to summarize @@ -863,7 +912,7 @@ ${conversationText}`; // Use Anthropic API directly with a fast model const response = await this.anthropic.messages.create({ - model: 'claude-haiku-4-5', // Fast, cheap model for summarization + model: config.agentSummaryModel, max_tokens: 1024, messages: summaryMessages }); @@ -932,7 +981,7 @@ ${conversationText}`; } // Now enforce token limits using LLM summarization - const MAX_CONTEXT_TOKENS = config.maxContextTokens; + const MAX_CONTEXT_TOKENS = config.agentMaxContextTokens; const messagesJson = JSON.stringify(messages); const currentTokens = countTokens(messagesJson); diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index 35ea40f6..eaa5049b 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -3,6 +3,7 @@ name: "Ganos Lal" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" max_iterations: 20 +use_agent_sdk: false supports: - sfd - cld diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index ded2962e..13b51422 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -3,6 +3,7 @@ name: "Myrddin" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 100 +use_agent_sdk: true supports: - sfd - cld diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index 02349280..265f3113 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -26,7 +26,7 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s // Check if model exceeds token limit - if so, refuse to call this tool if (sessionManager.modelExceedsTokenLimit(sessionId)) { return createErrorResponse( - `Cannot use generate_quantitative_model when the model exceeds the token limit (${config.maxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` + `Cannot use generate_quantitative_model when the model exceeds the token limit (${config.agentMaxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` ); } diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index d197c7fd..d06c2c04 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -295,4 +295,14 @@ When feedback analysis tools fail due to missing feedback information: getMaxIterations() { return this.baseConfig?.max_iterations || 20; } + + /** + * Whether this agent should use the Claude Agent SDK (vs manual loop) + * Defaults to true if not specified in agent config + */ + getUseAgentSDK() { + const val = this.metadata.use_agent_sdk; + if (val === undefined) return true; + return val !== false && val !== 'false'; + } } diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 63567efe..7f771f34 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -168,7 +168,7 @@ export class SessionManager { const session = this.getSession(sessionId); if (session) { session.modelTokenCount = tokenCount; - session.modelExceedsTokenLimit = tokenCount > config.maxTokensForEngines; + session.modelExceedsTokenLimit = tokenCount > config.agentMaxTokensForEngines; } } diff --git a/agent/websocket.js b/agent/websocket.js index 6e5e61d7..0320bc89 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -99,6 +99,7 @@ function getAvailableAgents() { export function handleWebSocketConnection(ws, sessionManager) { let sessionId = null; let orchestrator = null; + let previousAgentContext = null; // Create session try { @@ -311,6 +312,11 @@ export function handleWebSocketConnection(ws, sessionManager) { // Check if we're switching agents (orchestrator already exists) const isSwitching = orchestrator !== null; + // Snapshot context before replacing orchestrator so first chat can bridge modes + previousAgentContext = isSwitching + ? sessionManager.getConversationContext(sessionId) + : null; + // Create new agent orchestrator (replaces existing if switching) orchestrator = new AgentOrchestrator( sessionManager, @@ -354,9 +360,9 @@ export function handleWebSocketConnection(ws, sessionManager) { // Start conversation const session = sessionManager.getSession(sessionId); - await orchestrator.startConversation( - message.message - ); + const context = previousAgentContext; + previousAgentContext = null; + await orchestrator.startConversation(message.message, context); } catch (error) { logger.error(`Error in chat for session ${sessionId}:`, error); diff --git a/config.js b/config.js index f106b890..78deb4d4 100644 --- a/config.js +++ b/config.js @@ -5,12 +5,13 @@ const config = { "port": 3000, - "websocketPort": 3000, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics + "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) - "maxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 100000, // Maximum tokens before switching to file-based editing - "maxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 100000, // Maximum tokens for conversation history sent to Claude API - "useAgentSDK": process.env.USE_AGENT_SDK === 'true' || false, // Use Claude Agent SDK instead of manual agent loop + "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 100000, // Maximum tokens before switching to file-based editing + "agentMaxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 100000, // Maximum tokens for conversation history sent to Claude API + "agentModel": process.env.AGENT_MODEL || 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models + "agentSummaryModel": process.env.SUMMARY_MODEL || 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models }; -export default config \ No newline at end of file +export default config From 981b2642ec24e6322fee2486a85f4c774b6b44e2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 09:29:05 -0400 Subject: [PATCH 038/226] fix stop agent call with agent-sdk --- agent/AgentOrchestrator.js | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index b1f546ca..354eff07 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -265,7 +265,7 @@ export class AgentOrchestrator { )); } catch (error) { - if (error.name === 'AbortError') { + if (error.name === 'AbortError' || this.stopRequested) { logger.log(`Agent iteration stopped by user request for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage( this.sessionId, @@ -1149,6 +1149,7 @@ ${conversationText}`; stopIteration() { logger.log(`Stop iteration requested for session ${this.sessionId}`); this.stopRequested = true; + this.abortController?.abort(); } destroy() { From b59af11ce026ed95c07ee660538d625b6ebd951d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 09:37:41 -0400 Subject: [PATCH 039/226] parallelization command --- agent/utilities/AgentConfigurationManager.js | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index d06c2c04..1aa7d745 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -110,6 +110,10 @@ Use Seldon extensively to help you: Consider consulting Seldon when facing complex modeling decisions or when you need expert guidance on system dynamics best practices. ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements. +## CRITICAL: Tool Sequencing After run_model +**get_feedback_information and get_variables MUST always be called AFTER run_model completes — never in the same parallel batch as run_model.** +run_model produces the data these tools depend on. Always wait for run_model to finish before calling them. + ## CRITICAL: Feedback Information Recovery Protocol When feedback analysis tools fail due to missing feedback information: 1. FIRST: Run the model again using run_model() to generate fresh feedback data From dff1871b12882e66121a18e8844626520324725a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 13:03:21 -0400 Subject: [PATCH 040/226] update agent config text to not look like old yaml --- agent/config/ganos-lal.md | 90 ++++++++++++--------------------------- agent/config/myrddin.md | 58 +++++++++---------------- 2 files changed, 48 insertions(+), 100 deletions(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index eaa5049b..fb3d03c2 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -190,68 +190,34 @@ Focus on educational validation: ## Action Sequences -### on_new_model_request -1. **ask_clarifying_questions** - Ask about the problem, system boundaries, and key variables - Tools: discuss_with_mentor -2. **ask_about_desired_complexity** - CRITICAL: Ask user about desired model complexity - simple (5-10 vars, 1-2 stocks), moderate (11-20 vars, 2-4 stocks), or let them specify - Tools: discuss_with_mentor -3. **guide_structure_thinking** - Help user think through causal relationships and feedback loops - Tools: discuss_with_mentor -4. **generate_model** - Tools: generate_qualitative_model, generate_quantitative_model -5. **critique_model_structure** - Gently point out potential issues and ask for user's assessment - Tools: discuss_with_mentor -6. **discuss_structure** - Ask questions about the generated structure to build understanding - Tools: discuss_with_mentor -7. **get_user_opinion** - Ask user what they think of the model before proceeding -8. **run_initial_simulation** - Run the model with default parameters to show initial behavior - Tools: run_model, get_run_data -9. **visualize_initial_behavior** - Create visualization to show model behavior - Tools: create_visualization -10. **discuss_behavior** - Help user understand what they're seeing in the visualization - Tools: discuss_model_with_seldon - -### on_modification_request -1. **inspect_current_model** - Tools: get_current_model -2. **ask_about_goals** - Ask what they want to change and why -3. **discuss_implications** - Guide thinking about consequences of the change -4. **apply_changes** - Tools: update_model -5. **reflect_on_changes** - Ask how the user thinks the change will affect behavior -6. **run_updated_simulation** - Run simulation to show updated model behavior - Tools: run_model, get_run_data -7. **visualize_updated_behavior** - Create visualization to show how changes affected behavior - Tools: create_visualization -8. **discuss_changes** - Help user understand how their changes affected the model - -### on_simulation_request -1. **run_simulation** - Tools: run_model, get_run_data -2. **create_simple_visualization** - Tools: create_visualization -3. **understand_behavior_causes** - Use Seldon to understand WHY the model produced this behavior - Tools: discuss_model_with_seldon -4. **discuss_loop_behavior** - Ask questions to help user understand causal mechanisms and feedback dynamics -5. **guide_deeper_interpretation** - Help user connect behavior patterns to feedback loop dominance +### On New Model Request +1. Ask about the problem, system boundaries, and key variables (discuss_with_mentor) +2. CRITICAL: Ask user about desired model complexity - simple (5-10 vars, 1-2 stocks), moderate (11-20 vars, 2-4 stocks), or let them specify (discuss_with_mentor) +3. Help user think through causal relationships and feedback loops (discuss_with_mentor) +4. Generate the model (generate_qualitative_model, generate_quantitative_model) +5. Gently point out potential issues and ask for user's assessment (discuss_with_mentor) +6. Ask questions about the generated structure to build understanding (discuss_with_mentor) +7. Ask user what they think of the model before proceeding +8. Run the model with default parameters to show initial behavior (run_model, get_run_data) +9. Create visualization to show model behavior (create_visualization) +10. Help user understand what they're seeing in the visualization (discuss_model_with_seldon) + +### On Modification Request +1. Inspect the current model (get_current_model) +2. Ask what they want to change and why +3. Guide thinking about consequences of the change +4. Apply the changes (update_model) +5. Ask how the user thinks the change will affect behavior +6. Run simulation to show updated model behavior (run_model, get_run_data) +7. Create visualization to show how changes affected behavior (create_visualization) +8. Help user understand how their changes affected the model + +### On Simulation Request +1. Run the simulation (run_model, get_run_data) +2. Create a simple visualization (create_visualization) +3. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) +4. Ask questions to help user understand causal mechanisms and feedback dynamics +5. Help user connect behavior patterns to feedback loop dominance ## Communication Style **Style:** direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance. diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 13b51422..13433f31 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -120,44 +120,26 @@ Create analytical visualizations: ## Action Sequences -### on_new_model_request -1. **ask_essential_questions** - Ask only critical questions needed (time horizon, key variables, problem statement) -2. **generate_model** - Tools: generate_qualitative_model, generate_quantitative_model -3. **critique_structure** - Use Seldon to identify structural issues and critique the model - Tools: discuss_model_with_seldon -4. **validate_structure** - Check dimensional consistency, conservation laws, boundary adequacy -5. **recommend_tests** - Suggest extreme conditions tests - -### on_modification_request -1. **inspect_current_model** - Tools: get_current_model -2. **explain_theoretical_rationale** - Describe why changes are needed -3. **apply_changes** - Tools: update_model -4. **validate_modifications** - Verify changes maintain structural and dimensional consistency - Tools: get_current_model -5. **recommend_validation_tests** - Suggest specific tests to validate modifications - -### on_simulation_request -1. **validate_model_readiness** - Check all parameters defined, equations valid, units consistent -2. **run_simulation** - Tools: run_model -3. **create_analytical_visualization** - Tools: create_visualization -4. **understand_causal_mechanisms** - Use Seldon to understand WHY behavior occurs and which feedback mechanisms are driving it - Tools: discuss_model_with_seldon -5. **interpret_results** - Explain behavior in terms of feedback loop dominance and SD theory +### On New Model Request +1. Ask only critical questions needed (time horizon, key variables, problem statement) +2. Generate the model (generate_qualitative_model, generate_quantitative_model) +3. Use Seldon to identify structural issues and critique the model (discuss_model_with_seldon) +4. Check dimensional consistency, conservation laws, boundary adequacy +5. Suggest extreme conditions tests + +### On Modification Request +1. Inspect the current model (get_current_model) +2. Describe why changes are needed +3. Apply the changes (update_model) +4. Verify changes maintain structural and dimensional consistency (get_current_model) +5. Suggest specific tests to validate modifications + +### On Simulation Request +1. Check all parameters defined, equations valid, units consistent +2. Run the simulation (run_model) +3. Create an analytical visualization (create_visualization) +4. Use Seldon to understand WHY behavior occurs and which feedback mechanisms are driving it (discuss_model_with_seldon) +5. Explain behavior in terms of feedback loop dominance and SD theory ## Communication Style **Style:** direct, technical, efficient From bfc3d3a9042d8b54c61b5a7c6e66678194af840a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 13:38:38 -0400 Subject: [PATCH 041/226] detect the overloaded error and retry --- agent/AgentOrchestrator.js | 52 ++++++++++++++++++++++++++++++++------ agent/README.md | 4 +-- 2 files changed, 46 insertions(+), 10 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 354eff07..391c8c29 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -280,6 +280,11 @@ export class AgentOrchestrator { 'AGENT_ERROR', true )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + `Agent error: ${error.message}` + )); } } finally { this.abortController = null; @@ -562,6 +567,7 @@ export class AgentOrchestrator { let continueLoop = true; const maxIterations = this.configManager.getMaxIterations(); let iteration = 0; + let overloadedRetries = 0; // max 3 total per conversation turn while (continueLoop && iteration < maxIterations && !this.stopRequested) { iteration++; @@ -641,14 +647,44 @@ export class AgentOrchestrator { } } catch (error) { - logger.error('Error in agent conversation loop:', error); - await this.sendToClient(createErrorMessage( - this.sessionId, - `Agent error: ${error.message}`, - 'AGENT_ERROR', - true - )); - continueLoop = false; + const isOverloaded = error?.status === 529 || error?.error?.type === 'overloaded_error'; + if (isOverloaded && overloadedRetries < 3) { + overloadedRetries++; + logger.warn(`Anthropic API overloaded (529), retry ${overloadedRetries}/3`); + await this.sendToClient(createAgentTextMessage( + this.sessionId, + 'The AI service is temporarily overloaded. Retrying...' + )); + await new Promise(resolve => setTimeout(resolve, 5000)); + } else if (isOverloaded) { + logger.error('Anthropic API overloaded (529) after 3 retries, giving up'); + await this.sendToClient(createErrorMessage( + this.sessionId, + 'The AI service is overloaded. Please try again later.', + 'AGENT_ERROR', + true + )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped due to overloaded API' + )); + continueLoop = false; + } else { + logger.error('Error in agent conversation loop:', error); + await this.sendToClient(createErrorMessage( + this.sessionId, + `Agent error: ${error.message}`, + 'AGENT_ERROR', + true + )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped due to error' + )); + continueLoop = false; + } } } diff --git a/agent/README.md b/agent/README.md index f5168fab..399bb6ae 100644 --- a/agent/README.md +++ b/agent/README.md @@ -561,7 +561,7 @@ Requests time-series data for specific variables from specific runs. #### 11. Agent Complete -Signals the agent has finished the current request. +Signals the agent has finished the current request. **Agent execution only stops when the client disconnects or when this message is received** — clients should treat `agent_complete` as the authoritative signal that the agent is idle and ready for the next input. ```json { @@ -590,7 +590,7 @@ Reports errors during processing. } ``` -`recoverable: true` means the session can continue; `false` means reconnection may be needed. +`recoverable: true` means the session can continue; `false` means reconnection may be needed. Note that receiving an `error` message does not mean the agent has stopped — the agent may still continue iterating. Wait for `agent_complete` before treating the agent as idle. --- From f6c7da7457a6b2fdc550e652c90b94f08b12133a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 13:46:29 -0400 Subject: [PATCH 042/226] remove the recoverable attribute of errors, it wasn't being used --- agent/AgentOrchestrator.js | 15 +++++---------- agent/README.md | 3 +-- agent/utilities/MessageProtocol.js | 3 +-- agent/websocket.js | 24 ++++++++---------------- tests/agent/MessageProtocol.test.js | 1 - 5 files changed, 15 insertions(+), 31 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 391c8c29..4658cc30 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -94,8 +94,7 @@ export class AgentOrchestrator { await this.sendToClient(createErrorMessage( this.sessionId, error.message, - 'CONVERSATION_ERROR', - true + 'CONVERSATION_ERROR' )); } } @@ -277,8 +276,7 @@ export class AgentOrchestrator { await this.sendToClient(createErrorMessage( this.sessionId, `Agent error: ${error.message}`, - 'AGENT_ERROR', - true + 'AGENT_ERROR' )); await this.sendToClient(createAgentCompleteMessage( this.sessionId, @@ -328,8 +326,7 @@ export class AgentOrchestrator { await this.sendToClient(createErrorMessage( this.sessionId, message.error?.message || 'SDK system error', - 'SDK_SYSTEM_ERROR', - true + 'SDK_SYSTEM_ERROR' )); } else { logger.log(`Unhandled system message subtype: ${message.subtype}`, message); @@ -661,8 +658,7 @@ export class AgentOrchestrator { await this.sendToClient(createErrorMessage( this.sessionId, 'The AI service is overloaded. Please try again later.', - 'AGENT_ERROR', - true + 'AGENT_ERROR' )); await this.sendToClient(createAgentCompleteMessage( this.sessionId, @@ -675,8 +671,7 @@ export class AgentOrchestrator { await this.sendToClient(createErrorMessage( this.sessionId, `Agent error: ${error.message}`, - 'AGENT_ERROR', - true + 'AGENT_ERROR' )); await this.sendToClient(createAgentCompleteMessage( this.sessionId, diff --git a/agent/README.md b/agent/README.md index 399bb6ae..01ec0f20 100644 --- a/agent/README.md +++ b/agent/README.md @@ -585,12 +585,11 @@ Reports errors during processing. "sessionId": "sess_abc123", "error": "Tool 'run_model' timed out after 60 seconds", "errorCode": "TOOL_TIMEOUT", - "recoverable": true, "timestamp": "2025-01-15T10:30:09.000Z" } ``` -`recoverable: true` means the session can continue; `false` means reconnection may be needed. Note that receiving an `error` message does not mean the agent has stopped — the agent may still continue iterating. Wait for `agent_complete` before treating the agent as idle. +Note that receiving an `error` message does not mean the agent has stopped — the agent may still continue iterating. Wait for `agent_complete` before treating the agent as idle. --- diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index e3e6c762..6fa2f340 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -246,13 +246,12 @@ export function createAgentCompleteMessage(sessionId, status, finalMessage) { }; } -export function createErrorMessage(sessionId, error, errorCode, recoverable = true) { +export function createErrorMessage(sessionId, error, errorCode) { return { type: 'error', sessionId, error: typeof error === 'string' ? error : error.message, errorCode, - recoverable, timestamp: new Date().toISOString() }; } diff --git a/agent/websocket.js b/agent/websocket.js index 0320bc89..80ed1b55 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -135,8 +135,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, `Invalid message: ${validation.error}`, - 'INVALID_MESSAGE', - true + 'INVALID_MESSAGE' )); return; } @@ -185,8 +184,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, `Unknown message type: ${message.type}`, - 'UNKNOWN_MESSAGE_TYPE', - true + 'UNKNOWN_MESSAGE_TYPE' )); } } catch (error) { @@ -194,8 +192,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, error.message, - 'MESSAGE_PROCESSING_ERROR', - true + 'MESSAGE_PROCESSING_ERROR' )); } }); @@ -289,8 +286,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, `Initialization failed: ${error.message}`, - 'INITIALIZATION_ERROR', - false + 'INITIALIZATION_ERROR' )); } } @@ -345,8 +341,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, `Agent selection failed: ${error.message}`, - 'AGENT_SELECTION_ERROR', - false + 'AGENT_SELECTION_ERROR' )); } } @@ -369,8 +364,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, error.message, - 'CHAT_ERROR', - true + 'CHAT_ERROR' )); } } @@ -423,8 +417,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, error.message, - 'TOOL_RESPONSE_ERROR', - true + 'TOOL_RESPONSE_ERROR' )); } } @@ -456,8 +449,7 @@ export function handleWebSocketConnection(ws, sessionManager) { await sendToClient(createErrorMessage( sessionId, error.message, - 'STOP_ITERATION_ERROR', - true + 'STOP_ITERATION_ERROR' )); } } diff --git a/tests/agent/MessageProtocol.test.js b/tests/agent/MessageProtocol.test.js index b411c2ff..cbe2ebcf 100644 --- a/tests/agent/MessageProtocol.test.js +++ b/tests/agent/MessageProtocol.test.js @@ -186,7 +186,6 @@ describe('MessageProtocol', () => { expect(message.type).toBe('error'); expect(message.error).toBe('Something went wrong'); expect(message.errorCode).toBe('GENERIC'); - expect(message.recoverable).toBe(true); }); it('should create session ready message', () => { From 5f9d8ba111a1270bd37a1e5921086cb9dc7b8bb0 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 15:14:38 -0400 Subject: [PATCH 043/226] Test session compaction with the manual loop --- agent/AgentOrchestrator.js | 270 +++--------------- agent/utilities/SessionManager.js | 147 ++++++++++ .../agent/SessionManagerSummarization.test.js | 262 +++++++++++++++++ 3 files changed, 449 insertions(+), 230 deletions(-) create mode 100644 tests/agent/SessionManagerSummarization.test.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 4658cc30..e83e9d48 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -514,16 +514,11 @@ export class AgentOrchestrator { * Uses Anthropic SDK directly with agentic loop */ async runAgentConversation(_userMessage, systemPrompt, builtInTools, dynamicTools) { - const conversationHistory = this.sessionManager.getConversationContext(this.sessionId); + // Clean up context (remove stale models, summarize if over limit) before first API call + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); - // Prepare messages for Claude (conversation history already includes the user message) - const messages = conversationHistory.map(msg => ({ - role: msg.role, - content: msg.content - })); - - // Clean up message history at session start: remove old models and enforce token limits - this.cleanupMessageHistory(messages); + // Use the live session context as the messages array — no local copy + const messages = this.sessionManager.getConversationContext(this.sessionId); // Check model token count and update session state (only for SFD models) const session = this.sessionManager.getSession(this.sessionId); @@ -540,7 +535,7 @@ export class AgentOrchestrator { logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); // If this is the first time exceeding the limit, write model to disk - if (modelExceedsLimit && tokenCount > 0) { + if (modelExceedsLimit) { const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); const modelPath = join(sessionTempDir, 'model.sdjson'); @@ -569,54 +564,8 @@ export class AgentOrchestrator { while (continueLoop && iteration < maxIterations && !this.stopRequested) { iteration++; - // Limit message history to prevent context overflow using LLM summarization - const MAX_CONTEXT_TOKENS = config.agentMaxContextTokens; - - // Calculate current message history token count - const messagesJson = JSON.stringify(messages); - const currentTokens = countTokens(messagesJson); - - if (currentTokens > MAX_CONTEXT_TOKENS) { - logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${MAX_CONTEXT_TOKENS})`); - - // Keep the first message (user's initial request) for context - const firstMessage = messages[0]; - const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); - - // Reserve space for first message and summary (estimate ~1000 tokens for summary) - const SUMMARY_TOKEN_ESTIMATE = 1000; - let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; - const keptRecentMessages = []; - - // Collect recent messages that fit in the remaining budget - for (let i = messages.length - 1; i >= 1; i--) { - const messageTokens = countTokens(JSON.stringify(messages[i])); - - if (remainingTokenBudget - messageTokens >= 0) { - keptRecentMessages.unshift(messages[i]); - remainingTokenBudget -= messageTokens; - } else { - break; - } - } - - // If we kept all messages except first, no need to summarize - if (keptRecentMessages.length < messages.length - 1) { - // Get messages to summarize (everything between first and recent) - const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); - - if (messagesToSummarize.length > 0) { - // Create summary of old messages - const summaryMessage = await this.summarizeMessageHistory(messagesToSummarize); - - // Replace messages: [first, summary, ...recent] - messages.splice(0, messages.length, firstMessage, summaryMessage, ...keptRecentMessages); - - const newTokenCount = countTokens(JSON.stringify(messages)); - logger.log(`Summarized message history: ${messages.length} messages (including summary), ${newTokenCount} tokens (saved ${currentTokens - newTokenCount} tokens)`); - } - } - } + // Summarize context in-place if it has grown over the token limit + await this.sessionManager.summarizeContextIfNeeded(this.sessionId, config.agentMaxContextTokens); try { // Call Claude API @@ -722,7 +671,7 @@ export class AgentOrchestrator { if (block.type === 'text') { // Send text content to client - const text = await marked.parse(block.text); + const text = await marked.parse(block.text); await this.sendToClient(createAgentTextMessage( this.sessionId, @@ -730,11 +679,11 @@ export class AgentOrchestrator { false )); - // Add to conversation history (raw markdown, not HTML, for cross-mode replay) - this.sessionManager.addToConversationHistory(this.sessionId, { - role: 'assistant', - content: block.text - }); + // Append to the live session context (messages IS the session context) + if (!messages[messages.length - 1] || messages[messages.length - 1].role !== 'assistant') { + messages.push({ role: 'assistant', content: [] }); + } + messages[messages.length - 1].content.push({ type: 'text', text: block.text }); } else if (block.type === 'tool_use') { hasToolCalls = true; @@ -886,8 +835,33 @@ export class AgentOrchestrator { if (tokenCount > PRIOR_CONTEXT_TOKEN_LIMIT) { logger.log(`Prior agent context too large (${tokenCount} tokens), summarizing before SDK injection`); - const summary = await this.summarizeMessageHistory(history); - return summary.content; + try { + const conversationText = history.map((msg) => { + if (msg.role === 'user') { + return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; + } else if (msg.role === 'assistant') { + if (Array.isArray(msg.content)) { + const textContent = msg.content.filter(b => b.type === 'text').map(b => b.text).join('\n'); + return textContent ? `Assistant: ${textContent}` : ''; + } + return `Assistant: ${msg.content}`; + } + return ''; + }).filter(line => line).join('\n\n'); + + const response = await this.anthropic.messages.create({ + model: config.agentSummaryModel, + max_tokens: 1024, + messages: [{ + role: 'user', + content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` + }] + }); + return response.content[0].text; + } catch (error) { + logger.error('Error summarizing prior context:', error); + return '[Prior conversation condensed due to size]'; + } } return history.map(msg => { @@ -897,170 +871,6 @@ export class AgentOrchestrator { }).join('\n\n'); } - /** - * Summarize message history using LLM when it exceeds token limits - * @param {Array} messages - The messages array to summarize - * @returns {Promise} The summary message object - */ - async summarizeMessageHistory(messages) { - try { - // Create a concise representation of the conversation history for summarization - const conversationText = messages.map((msg) => { - if (msg.role === 'user') { - return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; - } else if (msg.role === 'assistant') { - // For assistant messages, extract text content and skip tool_use blocks - if (Array.isArray(msg.content)) { - const textContent = msg.content - .filter(block => block.type === 'text') - .map(block => block.text || block) - .join('\n'); - return textContent ? `Assistant: ${textContent}` : ''; - } - return `Assistant: ${msg.content}`; - } - return ''; - }).filter(line => line).join('\n\n'); - - // Use a fast, cheap model to create the summary - const summaryPrompt = `Please create a concise summary of the following conversation history. Focus on: -- The main task or goal the user requested -- Key decisions, findings, or results achieved -- Important context needed for continuing the conversation -- Current state of the work - -Keep the summary brief but informative (2-4 paragraphs maximum). - -Conversation history: -${conversationText}`; - - const summaryMessages = [ - { - role: 'user', - content: summaryPrompt - } - ]; - - // Use Anthropic API directly with a fast model - const response = await this.anthropic.messages.create({ - model: config.agentSummaryModel, - max_tokens: 1024, - messages: summaryMessages - }); - - const summaryText = response.content[0].text; - - logger.log(`Created message history summary: ${summaryText.substring(0, 100)}...`); - - return { - role: 'user', - content: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` - }; - - } catch (error) { - logger.error('Error summarizing message history:', error); - // If summarization fails, return a basic summary - return { - role: 'user', - content: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' - }; - } - } - - /** - * Clean up message history at session initialization - * Removes all but the most recent model and enforces token limits - * @param {Array} messages - The messages array to clean - */ - async cleanupMessageHistory(messages) { - if (messages.length === 0) { - return; - } - - logger.log(`Cleaning up message history (${messages.length} messages)`); - - // Find all model results in the messages - const modelIndices = []; - for (let i = 0; i < messages.length; i++) { - const message = messages[i]; - if (message.role === 'user' && message.content && Array.isArray(message.content)) { - for (const content of message.content) { - if (content.type === 'tool_result' && content.content) { - try { - const parsed = JSON.parse(content.content); - if (parsed.model || parsed.variables) { - modelIndices.push(i); - break; // Only count this message once - } - } catch (e) { - // Not parseable or not a model result, skip - } - } - } - } - } - - // Remove all but the most recent model - if (modelIndices.length > 1) { - // Keep only the last model index, remove all others - const indicesToRemove = modelIndices.slice(0, -1).sort((a, b) => b - a); - for (const index of indicesToRemove) { - messages.splice(index, 1); - logger.log(`Removed old model result from message history at index ${index}`); - } - logger.log(`Kept most recent model, removed ${indicesToRemove.length} older model(s)`); - } - - // Now enforce token limits using LLM summarization - const MAX_CONTEXT_TOKENS = config.agentMaxContextTokens; - const messagesJson = JSON.stringify(messages); - const currentTokens = countTokens(messagesJson); - - if (currentTokens > MAX_CONTEXT_TOKENS) { - logger.log(`Message history after cleanup exceeds token limit: ${currentTokens} tokens (limit: ${MAX_CONTEXT_TOKENS})`); - - // Keep the first message (user's initial request) for context - const firstMessage = messages[0]; - const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); - - // Reserve space for first message and summary (estimate ~1000 tokens for summary) - const SUMMARY_TOKEN_ESTIMATE = 1000; - let remainingTokenBudget = MAX_CONTEXT_TOKENS - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; - const keptRecentMessages = []; - - // Collect recent messages that fit in the remaining budget - for (let i = messages.length - 1; i >= 1; i--) { - const messageTokens = countTokens(JSON.stringify(messages[i])); - - if (remainingTokenBudget - messageTokens >= 0) { - keptRecentMessages.unshift(messages[i]); - remainingTokenBudget -= messageTokens; - } else { - break; - } - } - - // If we kept all messages except first, no need to summarize - if (keptRecentMessages.length >= messages.length - 1) { - return; - } - - // Get messages to summarize (everything between first and recent) - const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); - - if (messagesToSummarize.length > 0) { - // Create summary of old messages - const summaryMessage = await this.summarizeMessageHistory(messagesToSummarize); - - // Replace messages: [first, summary, ...recent] - messages.splice(0, messages.length, firstMessage, summaryMessage, ...keptRecentMessages); - - const newTokenCount = countTokens(JSON.stringify(messages)); - logger.log(`Summarized message history: ${messages.length} messages (including summary), ${newTokenCount} tokens (saved ${currentTokens - newTokenCount} tokens)`); - } - } - } - /** * Execute a tool call (built-in or client tool) */ diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 7f771f34..5fc976ec 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -2,6 +2,8 @@ import { randomBytes } from 'crypto'; import { tmpdir } from 'os'; import { join } from 'path'; import { existsSync, mkdirSync, readdirSync, rmSync } from 'fs'; +import Anthropic from '@anthropic-ai/sdk'; +import { countTokens } from '@anthropic-ai/tokenizer'; import logger from '../../utilities/logger.js'; import config from '../../config.js'; @@ -220,6 +222,151 @@ export class SessionManager { return session?.conversationContext || []; } + /** + * Summarize an array of messages using the LLM and return a single summary message object. + * Private — only called by summarizeContextIfNeeded and cleanupContext. + */ + async #summarizeMessages(messages) { + try { + const conversationText = messages.map((msg) => { + if (msg.role === 'user') { + return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; + } else if (msg.role === 'assistant') { + if (Array.isArray(msg.content)) { + const textContent = msg.content + .filter(block => block.type === 'text') + .map(block => block.text || block) + .join('\n'); + return textContent ? `Assistant: ${textContent}` : ''; + } + return `Assistant: ${msg.content}`; + } + return ''; + }).filter(line => line).join('\n\n'); + + if (!this.anthropic) { + this.anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); + } + + const response = await this.anthropic.messages.create({ + model: config.agentSummaryModel, + max_tokens: 1024, + messages: [{ + role: 'user', + content: `Please create a concise summary of the following conversation history. Focus on: +- The main task or goal the user requested +- Key decisions, findings, or results achieved +- Important context needed for continuing the conversation +- Current state of the work + +Keep the summary brief but informative (2-4 paragraphs maximum). + +Conversation history: +${conversationText}` + }] + }); + + const summaryText = response.content[0].text; + logger.log(`Created message history summary: ${summaryText.substring(0, 100)}...`); + + return { + role: 'user', + content: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` + }; + + } catch (error) { + logger.error('Error summarizing message history:', error); + return { + role: 'user', + content: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' + }; + } + } + + /** + * If the session's conversation context exceeds maxContextTokens, summarize the oldest messages + * in-place so the context stays within budget. Updates session state directly. + */ + async summarizeContextIfNeeded(sessionId, maxContextTokens) { + const session = this.getSession(sessionId); + if (!session) return; + + const messages = session.conversationContext; + const currentTokens = countTokens(JSON.stringify(messages)); + if (currentTokens <= maxContextTokens) return; + + logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${maxContextTokens})`); + + const firstMessage = messages[0]; + const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); + const SUMMARY_TOKEN_ESTIMATE = 1000; + let remainingTokenBudget = maxContextTokens - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; + const keptRecentMessages = []; + + for (let i = messages.length - 1; i >= 1; i--) { + const messageTokens = countTokens(JSON.stringify(messages[i])); + if (remainingTokenBudget - messageTokens >= 0) { + keptRecentMessages.unshift(messages[i]); + remainingTokenBudget -= messageTokens; + } else { + break; + } + } + + if (keptRecentMessages.length < messages.length - 1) { + const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); + if (messagesToSummarize.length > 0) { + const summaryMessage = await this.#summarizeMessages(messagesToSummarize); + messages.splice(0, messages.length, firstMessage, summaryMessage, ...keptRecentMessages); + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Summarized context: ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount})`); + } + } + } + + /** + * Clean up the session's conversation context: remove stale model results, then summarize if over limit. + */ + async cleanupContext(sessionId, maxContextTokens) { + const session = this.getSession(sessionId); + if (!session) return; + + const messages = session.conversationContext; + if (messages.length === 0) return; + + logger.log(`Cleaning up conversation context (${messages.length} messages)`); + + const modelIndices = []; + for (let i = 0; i < messages.length; i++) { + const message = messages[i]; + if (message.role === 'user' && message.content && Array.isArray(message.content)) { + for (const content of message.content) { + if (content.type === 'tool_result' && content.content) { + try { + const parsed = JSON.parse(content.content); + if (parsed.model || parsed.variables) { + modelIndices.push(i); + break; + } + } catch (e) { + // not a model result + } + } + } + } + } + + if (modelIndices.length > 1) { + const indicesToRemove = modelIndices.slice(0, -1).sort((a, b) => b - a); + for (const index of indicesToRemove) { + messages.splice(index, 1); + } + logger.log(`Removed ${indicesToRemove.length} stale model result(s) from context`); + } + + await this.summarizeContextIfNeeded(sessionId, maxContextTokens); + } + /** * Add a pending tool call */ diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js new file mode 100644 index 00000000..473cd127 --- /dev/null +++ b/tests/agent/SessionManagerSummarization.test.js @@ -0,0 +1,262 @@ +import { SessionManager } from '../../agent/utilities/SessionManager.js'; +import { AgentOrchestrator } from '../../agent/AgentOrchestrator.js'; +import { jest } from '@jest/globals'; +import path from 'path'; +import { fileURLToPath } from 'url'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +const AGENT_A_CONFIG = path.join(__dirname, '../../agent/config/ganos-lal.md'); +const AGENT_B_CONFIG = path.join(__dirname, '../../agent/config/myrddin.md'); + +function makeMockAnthropic(summaryText = 'Mocked summary.') { + return { + messages: { + create: jest.fn().mockResolvedValue({ + content: [{ text: summaryText }] + }) + } + }; +} + +function modelResultMessage(id) { + return { + role: 'user', + content: [{ + type: 'tool_result', + tool_use_id: id, + content: JSON.stringify({ model: { variables: [] }, resultId: id }) + }] + }; +} + +// ─── SessionManager.summarizeContextIfNeeded ───────────────────────────────── + +describe('SessionManager.summarizeContextIfNeeded', () => { + let sessionManager; + let sessionId; + + beforeEach(() => { + sessionManager = new SessionManager(); + sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); + sessionManager.anthropic = makeMockAnthropic(); + }); + + afterEach(() => { sessionManager.shutdown(); }); + + it('does nothing when context is under the token limit', async () => { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'Hello' }); + sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: 'Hi there' }); + + const contextBefore = [...sessionManager.getConversationContext(sessionId)]; + await sessionManager.summarizeContextIfNeeded(sessionId, 100_000); + + expect(sessionManager.getConversationContext(sessionId)).toEqual(contextBefore); + expect(sessionManager.anthropic.messages.create).not.toHaveBeenCalled(); + }); + + it('replaces old messages with a summary when over the token limit', async () => { + for (let i = 0; i < 10; i++) { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Message ${i}` }); + sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); + } + + const firstMessage = sessionManager.getConversationContext(sessionId)[0]; + await sessionManager.summarizeContextIfNeeded(sessionId, 1); + + const context = sessionManager.getConversationContext(sessionId); + expect(context[0]).toEqual(firstMessage); + expect(context[1].role).toBe('user'); + expect(context[1].content).toMatch(/\[Previous conversation summary\]/); + expect(sessionManager.anthropic.messages.create).toHaveBeenCalled(); + }); + + it('modifies the session context in-place so the live reference reflects the change', async () => { + for (let i = 0; i < 8; i++) { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Message ${i}` }); + sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); + } + + const liveRef = sessionManager.getConversationContext(sessionId); + const originalLength = liveRef.length; + + await sessionManager.summarizeContextIfNeeded(sessionId, 1); + + // splice is in-place: the same array object must be updated, not replaced + expect(liveRef).toBe(sessionManager.getConversationContext(sessionId)); + expect(liveRef.length).toBeLessThan(originalLength); + expect(liveRef[1].content).toMatch(/\[Previous conversation summary\]/); + }); + + it('uses a fallback summary message when the LLM call fails', async () => { + sessionManager.anthropic.messages.create.mockRejectedValue(new Error('API error')); + + for (let i = 0; i < 5; i++) { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Message ${i}` }); + sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); + } + + await sessionManager.summarizeContextIfNeeded(sessionId, 1); + + const context = sessionManager.getConversationContext(sessionId); + expect(context[1].content).toMatch(/condensed/); + }); + + it('does nothing for a non-existent session ID', async () => { + await expect( + sessionManager.summarizeContextIfNeeded('non-existent-id', 1) + ).resolves.toBeUndefined(); + }); +}); + +// ─── SessionManager.cleanupContext ─────────────────────────────────────────── + +describe('SessionManager.cleanupContext', () => { + let sessionManager; + let sessionId; + + beforeEach(() => { + sessionManager = new SessionManager(); + sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); + sessionManager.anthropic = makeMockAnthropic(); + }); + + afterEach(() => { sessionManager.shutdown(); }); + + it('removes all but the most recent model result', async () => { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request 1' }); + sessionManager.addToConversationHistory(sessionId, modelResultMessage('r1')); + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request 2' }); + sessionManager.addToConversationHistory(sessionId, modelResultMessage('r2')); + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request 3' }); + sessionManager.addToConversationHistory(sessionId, modelResultMessage('r3')); + + await sessionManager.cleanupContext(sessionId, 100_000); + + const context = sessionManager.getConversationContext(sessionId); + const modelResults = context.filter(msg => + msg.role === 'user' && + Array.isArray(msg.content) && + msg.content.some(c => { + try { return JSON.parse(c.content)?.model !== undefined; } catch { return false; } + }) + ); + + expect(modelResults).toHaveLength(1); + expect(JSON.parse(modelResults[0].content[0].content).resultId).toBe('r3'); + }); + + it('leaves the context untouched when there is only one model result', async () => { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request' }); + sessionManager.addToConversationHistory(sessionId, modelResultMessage('only')); + + const lengthBefore = sessionManager.getConversationContext(sessionId).length; + await sessionManager.cleanupContext(sessionId, 100_000); + + expect(sessionManager.getConversationContext(sessionId)).toHaveLength(lengthBefore); + }); + + it('does nothing when context is empty', async () => { + await expect( + sessionManager.cleanupContext(sessionId, 100_000) + ).resolves.toBeUndefined(); + expect(sessionManager.getConversationContext(sessionId)).toHaveLength(0); + }); + + it('summarizes after removing stale models when still over the token limit', async () => { + for (let i = 0; i < 5; i++) { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `request ${i}` }); + sessionManager.addToConversationHistory(sessionId, modelResultMessage(String(i))); + } + + await sessionManager.cleanupContext(sessionId, 1); + + const context = sessionManager.getConversationContext(sessionId); + const hasSummary = context.some( + msg => typeof msg.content === 'string' && msg.content.includes('[Previous conversation summary]') + ); + expect(hasSummary).toBe(true); + expect(sessionManager.anthropic.messages.create).toHaveBeenCalled(); + }); +}); + +// ─── Agent switch context continuity ───────────────────────────────────────── + +describe('Agent switch - context continuity between orchestrators', () => { + let sessionManager; + let sessionId; + const sendToClient = jest.fn(); + + beforeEach(() => { + sessionManager = new SessionManager(); + sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); + process.env.GOOGLE_API_KEY = 'dummy_key'; + }); + + afterEach(() => { + sessionManager.shutdown(); + sendToClient.mockClear(); + }); + + it('second orchestrator sees context accumulated by the first orchestrator', () => { + const orchestratorA = new AgentOrchestrator(sessionManager, sessionId, sendToClient, AGENT_A_CONFIG); + + // Simulate agent A processing a conversation turn (manual mode pushes to live context) + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'Build a causal loop diagram' }); + const context = sessionManager.getConversationContext(sessionId); + context.push({ role: 'assistant', content: [{ type: 'text', text: 'Here is the CLD.' }] }); + + // websocket.js captures the context on switch, then creates a new orchestrator + const capturedOnSwitch = sessionManager.getConversationContext(sessionId); + + const orchestratorB = new AgentOrchestrator(sessionManager, sessionId, sendToClient, AGENT_B_CONFIG); + + // Agent B reads the session context — must see what agent A built + const agentBContext = sessionManager.getConversationContext(sessionId); + expect(agentBContext).toBe(capturedOnSwitch); + expect(agentBContext).toHaveLength(2); + expect(agentBContext[0].content).toBe('Build a causal loop diagram'); + expect(agentBContext[1].content[0].text).toBe('Here is the CLD.'); + + orchestratorA.destroy(); + orchestratorB.destroy(); + }); + + it('second orchestrator sees the summarized context after summarization by the first', async () => { + sessionManager.anthropic = makeMockAnthropic( + 'Agent A built a CLD with 5 variables and 3 feedback loops.' + ); + + const orchestratorA = new AgentOrchestrator(sessionManager, sessionId, sendToClient, AGENT_A_CONFIG); + + // Agent A accumulates a large context + for (let i = 0; i < 10; i++) { + sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Step ${i}` }); + sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Done ${i}` }); + } + const fullLength = sessionManager.getConversationContext(sessionId).length; + + // Summarization fires during agent A's last turn + await sessionManager.summarizeContextIfNeeded(sessionId, 1); + + // websocket.js captures context and creates agent B + const capturedOnSwitch = sessionManager.getConversationContext(sessionId); + const orchestratorB = new AgentOrchestrator(sessionManager, sessionId, sendToClient, AGENT_B_CONFIG); + + const agentBContext = sessionManager.getConversationContext(sessionId); + + // Agent B sees the summarized (shorter) context, not the full bloated one + expect(agentBContext).toBe(capturedOnSwitch); + expect(agentBContext.length).toBeLessThan(fullLength); + expect( + agentBContext.some(m => typeof m.content === 'string' && m.content.includes('[Previous conversation summary]')) + ).toBe(true); + + orchestratorA.destroy(); + orchestratorB.destroy(); + }); +}); From b59442117735ab8e167bb5e11abd6edc1becc991 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 23 Apr 2026 15:17:42 -0400 Subject: [PATCH 044/226] unit warning system prompt --- agent/utilities/AgentConfigurationManager.js | 1 + 1 file changed, 1 insertion(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 1aa7d745..a55a309f 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -37,6 +37,7 @@ NEVER switch between CLD and SFD during a session. - Add appropriate constraints to prevent negative values where they are physically impossible - Stocks often go negative when there is no first order control on their flows. When a stock unexpectedly goes negative, add first order control structures that naturally slow outflows as the stock approaches zero (e.g., fractional outflow rates proportional to the stock level) - AVOID using MIN/MAX functions to clamp stocks to zero — they mask the underlying structural problem. Fix the model structure instead. +- Unit warnings are NOT cosmetic, they are important and MUST to be fixed ## CRITICAL: Visualization Requests When a user requests a visualization: From 8e73b655f11805253f0a1506b5b39fd018c5cfc1 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 11:56:19 -0400 Subject: [PATCH 045/226] refactor: tools document what modes and models they support so that tool lists can be dynamically determined --- agent/AgentOrchestrator.js | 120 ++++++++++-------- agent/README.md | 36 +++++- agent/config/ganos-lal.md | 65 ++++++---- agent/config/myrddin.md | 40 ++++-- agent/test-client.html | 16 +-- agent/tools/BuiltInToolProvider.js | 14 +- agent/tools/DynamicToolProvider.js | 27 +--- agent/tools/builtin/clientInteractionTools.js | 5 + agent/tools/builtin/createVisualization.js | 1 + agent/tools/builtin/discussModelAcrossRuns.js | 1 + agent/tools/builtin/discussModelWithSeldon.js | 1 + agent/tools/builtin/discussWithMentor.js | 1 + agent/tools/builtin/generateDocumentation.js | 3 + agent/tools/builtin/generateLtmNarrative.js | 1 + .../tools/builtin/generateQualitativeModel.js | 3 + .../builtin/generateQuantitativeModel.js | 9 +- agent/tools/builtin/getFeedbackInformation.js | 1 + agent/tools/builtin/largeModelTools.js | 9 +- agent/utilities/AgentConfigurationManager.js | 22 ++-- agent/utilities/MessageProtocol.js | 2 +- agent/utilities/SessionManager.js | 43 ++----- agent/utilities/VisualizationEngine.js | 37 +++++- agent/websocket.js | 11 +- tests/agent/AgentConfigurationManager.test.js | 4 +- tests/agent/MessageProtocol.test.js | 8 +- tests/agent/SessionManager.test.js | 14 +- 26 files changed, 280 insertions(+), 214 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index e83e9d48..808def7a 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -56,13 +56,6 @@ export class AgentOrchestrator { logger.log(`AgentOrchestrator initialized for session ${sessionId} (useAgentSDK: ${this.configManager.getUseAgentSDK()})`); } - /** - * Initialize with client tools - */ - initializeTools(clientTools) { - this.dynamicToolProvider.updateTools(clientTools); - } - /** * Start a conversation with the agent */ @@ -112,8 +105,8 @@ export class AgentOrchestrator { }); // Build system prompt from config - const modelType = session.modelType; - const systemPrompt = this.configManager.buildSystemPrompt(modelType); + const mode = session.mode; + const systemPrompt = this.configManager.buildSystemPrompt(mode); // Get tool collections const builtInTools = this.builtInToolProvider.getTools(); @@ -123,12 +116,16 @@ export class AgentOrchestrator { await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); } + #buildModelSizeSystemMessage(modelTokenCount, modelPath) { + return `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n- **Read, Edit, Write**: Use the built-in filesystem tools to directly read and edit the model file at the path above\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory. Use read_model_section first to inspect the parts you need, then use edit_model_section to make targeted changes.`; + } + /** * Start conversation using Claude Agent SDK */ async startConversationWithSDK(userMessage, previousAgentContext = null) { const session = this.sessionManager.getSession(this.sessionId); - const modelType = session.modelType; + const mode = session.mode; // Track user message for cross-mode replay (SDK → manual on future switch) this.sessionManager.addToConversationHistory(this.sessionId, { @@ -136,22 +133,22 @@ export class AgentOrchestrator { content: userMessage }); - let systemPrompt = this.configManager.buildSystemPrompt(modelType); + let systemPrompt = this.configManager.buildSystemPrompt(mode); // Check model token count and handle large models (for SDK mode) const currentModel = session?.clientModel; - let modelExceedsLimit = false; + let modelTokenCount = 0; - if (currentModel && modelType === 'sfd') { + if (currentModel) { const modelJson = JSON.stringify(currentModel, null, 2); - const tokenCount = countTokens(modelJson); - this.sessionManager.updateModelTokenCount(this.sessionId, tokenCount); - modelExceedsLimit = this.sessionManager.modelExceedsTokenLimit(this.sessionId); + modelTokenCount = countTokens(modelJson); + this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); + const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; - logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - // If model exceeds limit, write to disk - if (modelExceedsLimit && tokenCount > 0) { + // If model exceeds limit, write to disk (SFD only — large model tools are SFD-specific) + if (modelExceedsLimit) { const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); const modelPath = join(sessionTempDir, 'model.sdjson'); @@ -159,26 +156,25 @@ export class AgentOrchestrator { writeFileSync(modelPath, modelJson); logger.log(`Model exceeds token limit. Written to: ${modelPath}`); - // Add system message to inform Claude about filesystem tools - const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n- **Read, Edit, Write**: Use the built-in filesystem tools to directly read and edit the model file at the path above\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory.`; - - systemPrompt += systemMessage; + systemPrompt += this.#buildModelSizeSystemMessage(modelTokenCount, modelPath); } catch (err) { logger.error(`Failed to write model to disk: ${err.message}`); } } } - await this.runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit, previousAgentContext); + await this.runAgentConversationWithSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext); } /** * Run agent conversation using Claude Agent SDK */ - async runAgentConversationWithSDK(userMessage, systemPrompt, modelExceedsLimit, previousAgentContext = null) { + async runAgentConversationWithSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext = null) { // Create abort controller for stop iteration this.abortController = new AbortController(); + const mode = this.sessionManager.getSession(this.sessionId)?.mode; + const maxIterations = this.configManager.getMaxIterations(); try { @@ -186,7 +182,7 @@ export class AgentOrchestrator { const builtInSdkTools = ['Read', 'Edit', 'Write', 'Glob', 'Grep']; let mcpServers = { - builtin: this.builtInToolProvider.getMcpServer(modelExceedsLimit) + builtin: this.builtInToolProvider.getMcpServer() }; // Get client MCP server @@ -195,13 +191,24 @@ export class AgentOrchestrator { mcpServers.client = clientMcpServer; } - // Build allowed tools list with MCP prefixes - const builtInToolNames = this.builtInToolProvider.getToolNames().map(name => `mcp__builtin__${name}`); + // Build allowed tools list with MCP prefixes, filtered by mode and model token count + const allBuiltInTools = this.builtInToolProvider.getTools(); + const builtInToolNames = this.builtInToolProvider.getToolNames() + .filter(name => { + const toolDef = allBuiltInTools.tools[name]; + if (toolDef?.supportedModes && !toolDef.supportedModes.includes(mode)) return false; + if (toolDef?.maxModelTokens && modelTokenCount > toolDef.maxModelTokens) return false; + if (toolDef?.minModelTokens && modelTokenCount < toolDef.minModelTokens) return false; + return true; + }) + .map(name => `mcp__builtin__${name}`); let allowedTools = [ ...builtInSdkTools, // SDK filesystem tools (no prefix) ...builtInToolNames // Built-in tools with mcp__builtin__ prefix ]; + logger.debug("Allowed tools are: " + allowedTools.join(', ')); + // Add client tools if any const clientToolNames = this.dynamicToolProvider.getToolNames(); if (clientToolNames.length > 0) { @@ -430,7 +437,11 @@ export class AgentOrchestrator { if (block.is_error) { logger.error(`Tool error for ${toolName} (${block.tool_use_id}):`, block.content); } else { - logger.log(`Tool result received for ${toolName} (${block.tool_use_id})`); + if (toolName === 'ToolSearch') { + logger.log(`Tool result received for ${toolName} (${block.tool_use_id}):`, JSON.stringify(block.content)); + } else { + logger.log(`Tool result received for ${toolName} (${block.tool_use_id})`); + } } await this.sendToClient(createToolCallCompletedMessage( @@ -520,21 +531,21 @@ export class AgentOrchestrator { // Use the live session context as the messages array — no local copy const messages = this.sessionManager.getConversationContext(this.sessionId); - // Check model token count and update session state (only for SFD models) + // Check model token count and update session state const session = this.sessionManager.getSession(this.sessionId); const currentModel = session?.clientModel; - const modelType = session?.modelType; - let modelExceedsLimit = false; + const mode = session?.mode; + let modelTokenCount = 0; - if (currentModel && modelType === 'sfd') { + if (currentModel) { const modelJson = JSON.stringify(currentModel, null, 2); - const tokenCount = countTokens(modelJson); - this.sessionManager.updateModelTokenCount(this.sessionId, tokenCount); - modelExceedsLimit = this.sessionManager.modelExceedsTokenLimit(this.sessionId); + modelTokenCount = countTokens(modelJson); + this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); + const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; - logger.log(`SFD Model token count: ${tokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - // If this is the first time exceeding the limit, write model to disk + // If model exceeds limit, write to disk so large model tools can access it if (modelExceedsLimit) { const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); const modelPath = join(sessionTempDir, 'model.sdjson'); @@ -543,10 +554,7 @@ export class AgentOrchestrator { writeFileSync(modelPath, modelJson); logger.log(`Model exceeds token limit. Written to: ${modelPath}`); - // Add system message to inform Claude about the switch - const systemMessage = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${tokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory. Use read_model_section first to inspect the parts you need, then use edit_model_section to make targeted changes.`; - - systemPrompt += systemMessage; + systemPrompt += this.#buildModelSizeSystemMessage(modelTokenCount, modelPath); } catch (err) { logger.error(`Failed to write model to disk: ${err.message}`); } @@ -554,7 +562,7 @@ export class AgentOrchestrator { } // Convert tool servers to Anthropic tool format (with conditional filtering) - const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelExceedsLimit); + const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount, mode); let continueLoop = true; const maxIterations = this.configManager.getMaxIterations(); @@ -886,8 +894,9 @@ export class AgentOrchestrator { // Check if it's a client tool if (this.dynamicToolProvider.isClientTool(toolUse.name)) { + const unprefixedName = toolUse.name.replace(/^client_/, ''); const result = await this.dynamicToolProvider.requestClientExecution( - toolUse.name, + unprefixedName, toolUse.input ); return { @@ -914,15 +923,10 @@ export class AgentOrchestrator { /** * Convert tool servers to Anthropic tool format */ - convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelExceedsLimit = false) { + convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { const tools = []; const toolNames = new Set(); - // Tools to exclude when model exceeds token limit (only quantitative model generation) - const excludedToolsWhenOverLimit = new Set([ - 'generate_quantitative_model' - ]); - // Convert built-in tools for (const [toolName, toolDef] of Object.entries(builtInTools.tools)) { if (toolNames.has(toolName)) { @@ -930,9 +934,19 @@ export class AgentOrchestrator { continue; } - // Skip model generation tools if model exceeds token limit - if (modelExceedsLimit && excludedToolsWhenOverLimit.has(toolName)) { - logger.log(`Excluding tool ${toolName} - model exceeds token limit`); + // Skip tools that don't support the current mode + if (mode && toolDef.supportedModes && !toolDef.supportedModes.includes(mode)) { + logger.log(`Excluding tool ${toolName} - not supported in mode: ${mode}`); + continue; + } + + // Skip tools whose model token constraints aren't met + if (toolDef.maxModelTokens && modelTokenCount > toolDef.maxModelTokens) { + logger.log(`Excluding tool ${toolName} - model token count ${modelTokenCount} exceeds max ${toolDef.maxModelTokens}`); + continue; + } + if (toolDef.minModelTokens && modelTokenCount < toolDef.minModelTokens) { + logger.log(`Excluding tool ${toolName} - model token count ${modelTokenCount} below min ${toolDef.minModelTokens}`); continue; } diff --git a/agent/README.md b/agent/README.md index 01ec0f20..30d4fe2b 100644 --- a/agent/README.md +++ b/agent/README.md @@ -84,7 +84,7 @@ Establishes a session with authentication, model type, initial model, and option "authenticationKey": "your-auth-key", "clientProduct": "sd-web", "clientVersion": "1.0.0", - "modelType": "sfd", + "mode": "sfd", "model": { "variables": [], "relationships": [], @@ -124,7 +124,7 @@ Establishes a session with authentication, model type, initial model, and option - `authenticationKey` — Server authentication (required only if `AUTHENTICATION_KEY` env var is set) - `clientProduct` — Client identifier (e.g., `"sd-web"`, `"sd-desktop"`) - `clientVersion` — Client version for compatibility checking -- `modelType` — Either `"cld"` or `"sfd"` — **cannot be changed during session** +- `mode` — Either `"cld"` or `"sfd"` — **cannot be changed during session** - `model` — Initial model state (can be empty) - `tools` — Optional array of custom client tool definitions (see Client Tool Registration below). Core model operations are all built-in and do not need to be registered here. - `historicalMessages` — Optional array of previous messages to seed conversation context @@ -290,13 +290,13 @@ Sent after successful initialization. Lists available agents. { "id": "ganos-lal", "name": "Ganos Lal", - "supports": ["sfd", "cld"], + "supportedModes": ["sfd", "cld"], "description": "System Dynamics mentor who uses Socratic questioning..." }, { "id": "myrddin", "name": "Myrddin", - "supports": ["sfd", "cld"], + "supportedModes": ["sfd", "cld"], "description": "..." } ], @@ -617,6 +617,30 @@ When the agent calls a custom tool, the server sends a `tool_call_request` and t --- +## Built-In Tool Interface + +Each built-in tool is a plain object returned by a factory function. The fields are: + +### Required + +| Field | Type | Description | +|---|---|---| +| `description` | `string` | Natural-language description shown to the AI when deciding whether to call the tool | +| `inputSchema` | `ZodSchema` | Zod schema defining the tool's input parameters | +| `handler` | `async (args) => { content, isError }` | Executes the tool and returns a standardized response | +| `supportedModes` | `string[]` | Modes this tool is available in. Values: `'sfd'`, `'cld'`. Include both to support all modes. | + +### Optional + +| Field | Type | Description | +|---|---|---| +| `maxModelTokens` | `number` | If the current model's token count exceeds this value, the tool is excluded from the agent's tool list. Used for tools that receive the full model (e.g., `generate_quantitative_model`). | +| `minModelTokens` | `number` | If the current model's token count is below this value, the tool is excluded. Used for tools that only make sense for large models (e.g., `read_model_section`, `edit_model_section`). | + +Token counting runs on every conversation turn for all sessions. The token thresholds use `agentMaxTokensForEngines` from `config.js` (default: 100,000). + +--- + ## Built-In Tools All core tools are registered server-side. Clients do not need to register them. @@ -671,7 +695,7 @@ name: "Ganos Lal" description: "System Dynamics mentor who uses Socratic questioning..." version: "1.0" max_iterations: 20 -supports: +supported_modes: - sfd - cld --- @@ -718,7 +742,7 @@ ws.on('message', (data) => { authenticationKey: 'your-key', clientProduct: 'my-client', clientVersion: '1.0.0', - modelType: 'sfd', + mode: 'sfd', model: {} // Optionally include custom tools here })); diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index fb3d03c2..84c5f992 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -4,7 +4,7 @@ description: "System Dynamics mentor who uses Socratic questioning to teach conc version: "1.0" max_iterations: 20 use_agent_sdk: false -supports: +supported_modes: - sfd - cld --- @@ -12,9 +12,6 @@ supports: You are Ganos Lal, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. -CRITICAL MODEL TYPE RULES: -- The main model being built must always match the session's modelType - CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD - NEVER build a model immediately when a user mentions a topic - ALWAYS clarify the scope of the model. @@ -35,7 +32,7 @@ IMPORTANT RULES: 10. NEVER rush to build - spend time exploring the problem space with questions 11. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. 12. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - - First call get_run_data to get time series data for key variables + - First call get_variable_data to get time series data for key variables - Then call create_visualization to generate charts - Users learn better when they can SEE the model behavior - Visualizations make abstract feedback loops concrete and observable @@ -100,7 +97,7 @@ When helping users build models, follow this SLOW, DELIBERATE process: 7. VISUALIZE AND BUILD UNDERSTANDING: Run simulations and show visualizations - Usually run simulation after building/updating models - - Usually create visualization using get_run_data and create_visualization + - Usually create visualization using get_variable_data and create_visualization - Show the behavior graphically to support learning - Ask: "What do you notice about this behavior?" - Ask: "Does this match what you expected?" @@ -143,50 +140,62 @@ Focus on educational validation: ## Tool Usage Policies -### get_current_model +### get_current_model *(SFD + CLD)* **When to use:** Always before any analysis or modification **Frequency:** At start of every modeling conversation -### update_model +### update_model *(SFD + CLD)* **When to use:** Only after discussing changes with the user **Always explain** your reasoning when using this tool -### run_model -**When to use:** After user understands the model structure +### run_model *(SFD only)* +**When to use:** After user understands the model structure and structural validation passes **Auto-suggest** this tool when appropriate -### generate_ltm_narrative -**When to use:** When deep feedback loop analysis would help explain complex behavior +### get_run_info *(SFD only)* +**When to use:** After running a simulation, to get the list of available run IDs +**Frequency:** Before calling `get_variable_data` to retrieve data for visualization + +### get_variable_data *(SFD only)* +**When to use:** After `get_run_info`, to fetch time-series data for specific variables +**IMPORTANT:** If you're going to make a plot pass `detailed=true` to get enough data points for plotting +**Frequency:** Every time before `create_visualization` + +### generate_ltm_narrative *(SFD only)* +**When to use:** When deep feedback loop analysis would help explain complex behavior, you MUST call get_feedback_information first **Frequency:** As needed for understanding causal mechanisms -### discuss_with_mentor -**When to use:** Frequently - this is your primary teaching tool +### discuss_with_mentor *(SFD + CLD)* +**When to use:** Frequently - this is your primary teaching tool, make sure to call get_feedback_information first **Frequency:** Multiple times per conversation, especially after simulations **Auto-suggest** this tool when appropriate -### discuss_model_across_runs -**When to use:** Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language +### discuss_model_across_runs *(SFD only)* +**When to use:** Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language, but first call get_feedback_information **Frequency:** When comparing simulation results from different runs or scenarios -**Auto-suggest** this tool when appropriate -### discuss_model_with_seldon -**When to use:** After simulations to understand WHY behavior occurs +### discuss_model_with_seldon *(SFD + CLD)* +**When to use:** After simulations to understand WHY behavior occurs, but first call get_feedback_information **Frequency:** Primary tool for explaining causal mechanisms and feedback loop behavior **Auto-suggest** this tool when appropriate -### generate_quantitative_model +### generate_quantitative_model *(SFD only)* **When to use:** For SFD models - keep them simple **Default parameters:** {"supportsArrays":false,"supportsModules":false} -### generate_qualitative_model +### generate_qualitative_model *(CLD only)* **When to use:** For CLD models and conceptual exploration -### create_visualization +### create_visualization *(SFD only)* **When to use:** After every simulation and model update to support learning - show visualizations to help users understand behavior -### get_run_data -**When to use:** Before creating visualizations to get time series data for specific variables -**Frequency:** Every time before create_visualization +### generate_documentation *(SFD + CLD)* +**When to use:** Anytime the user asks the model to be documented. +**Frequency:** Only use this tool on request + +### get_feedback_information *(SFD + CLD)* +**When to use:** Anytime you're going to use a tool that discusses the model +**Auto-suggest** this tool when appropriate ## Action Sequences @@ -198,7 +207,7 @@ Focus on educational validation: 5. Gently point out potential issues and ask for user's assessment (discuss_with_mentor) 6. Ask questions about the generated structure to build understanding (discuss_with_mentor) 7. Ask user what they think of the model before proceeding -8. Run the model with default parameters to show initial behavior (run_model, get_run_data) +8. Run the model with default parameters to show initial behavior (run_model, get_variable_data) 9. Create visualization to show model behavior (create_visualization) 10. Help user understand what they're seeing in the visualization (discuss_model_with_seldon) @@ -208,12 +217,12 @@ Focus on educational validation: 3. Guide thinking about consequences of the change 4. Apply the changes (update_model) 5. Ask how the user thinks the change will affect behavior -6. Run simulation to show updated model behavior (run_model, get_run_data) +6. Run simulation to show updated model behavior (run_model, get_variable_data) 7. Create visualization to show how changes affected behavior (create_visualization) 8. Help user understand how their changes affected the model ### On Simulation Request -1. Run the simulation (run_model, get_run_data) +1. Run the simulation (run_model, get_variable_data) 2. Create a simple visualization (create_visualization) 3. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) 4. Ask questions to help user understand causal mechanisms and feedback dynamics diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 13433f31..81ba57f2 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -4,7 +4,7 @@ description: "Expert Modeler who builds sophisticated System Dynamics models eff version: "1.0" max_iterations: 100 use_agent_sdk: true -supports: +supported_modes: - sfd - cld --- @@ -14,9 +14,6 @@ Your responses should be direct, technically precise, and action-oriented. Use proper SD terminology freely - your users are comfortable with jargon. Ask only the essential questions needed to build accurate models. -CRITICAL MODEL TYPE RULES: -- The main model being built must always match the session's modelType - IMPORTANT RULES: 1. To see the current model, call get_current_model() 2. To modify the model, call update_model() with proposed changes @@ -83,41 +80,58 @@ Create analytical visualizations: ## Tool Usage Policies -### get_current_model +### get_current_model *(SFD + CLD)* **When to use:** Always before any analysis or modification **Frequency:** At start of every modeling conversation -### update_model +### update_model *(SFD + CLD)* **When to use:** Only after thorough theoretical justification **Always explain** your reasoning when using this tool -### run_model +### run_model *(SFD only)* **When to use:** After structural validation passes **Auto-suggest** this tool when appropriate -### generate_ltm_narrative +### get_run_info *(SFD only)* +**When to use:** After running a simulation, to get the list of available run IDs +**Frequency:** Before calling `get_variable_data` to retrieve data for visualization + +### get_variable_data *(SFD only)* +**When to use:** After `get_run_info`, to fetch time-series data for specific variables +**IMPORTANT:** Always pass `detailed=true` to get enough data points for plotting +**Frequency:** Every time before `create_visualization` + +### generate_ltm_narrative *(SFD only)* **When to use:** When deep feedback loop analysis would help explain complex behavior **Frequency:** As needed for understanding causal mechanisms -### discuss_model_with_seldon +### discuss_model_with_seldon *(SFD + CLD)* **When to use:** Default discussion tool for understanding WHY behavior occurs - use SD terminology freely **Frequency:** After simulations to understand causal mechanisms and critique models **Auto-suggest** this tool when appropriate -### discuss_model_across_runs +### discuss_model_across_runs *(SFD only)* **When to use:** Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics **Frequency:** When comparing simulation results from different runs or scenarios -### generate_quantitative_model +### generate_quantitative_model *(SFD only)* **When to use:** For SFD models - use arrays and modules when appropriate **Default parameters:** {"supportsArrays":true,"supportsModules":true} -### generate_qualitative_model +### generate_qualitative_model *(CLD only)* **When to use:** For CLD models - can be comprehensive -### create_visualization +### create_visualization *(SFD only)* **When to use:** After every simulation and for policy analysis +### generate_documentation *(SFD + CLD)* +**When to use:** Anytime the user asks the model to be documented. +**Frequency:** Only use this tool on request + +### get_feedback_information *(SFD + CLD)* +**When to use:** Anytime you're going to use a tool that discusses the model +**Auto-suggest** this tool when appropriate + ## Action Sequences ### On New Model Request diff --git a/agent/test-client.html b/agent/test-client.html index 3f24c32e..818278d7 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -292,8 +292,8 @@

1Connection

2Session Initialization

- - @@ -390,7 +390,7 @@

Visualizations

wsUrl: document.getElementById('wsUrl'), agentType: document.getElementById('agentType'), agentDescription: document.getElementById('agentDescription'), - modelType: document.getElementById('modelType'), + mode: document.getElementById('mode'), userMessage: document.getElementById('userMessage'), modelData: document.getElementById('modelData'), log: document.getElementById('log'), @@ -1046,7 +1046,7 @@

Visualizations

authenticationKey: 'test-key-12345', clientProduct: 'sd-test-client', clientVersion: '1.0.0', - modelType: elements.modelType.value, + mode: elements.mode.value, model: {}, tools: [ { @@ -1122,7 +1122,7 @@

Visualizations

// Function to populate agent dropdown based on model type function populateAgentDropdown() { - const modelType = elements.modelType.value; + const mode = elements.mode.value; const agentSelect = elements.agentType; // Clear existing options @@ -1130,7 +1130,7 @@

Visualizations

// Filter agents that support the current model type const supportedAgents = availableAgents.filter(agent => - agent.supports && agent.supports.includes(modelType) + agent.supportedModes && agent.supportedModes.includes(mode) ); if (supportedAgents.length === 0) { @@ -1149,7 +1149,7 @@

Visualizations

}); // Select the default agent for this model type - const defaultAgentId = agentDefaults[modelType]; + const defaultAgentId = agentDefaults[mode]; if (defaultAgentId && supportedAgents.find(a => a.id === defaultAgentId)) { agentSelect.value = defaultAgentId; } @@ -1173,7 +1173,7 @@

Visualizations

} // Handle model type change - elements.modelType.addEventListener('change', () => { + elements.mode.addEventListener('change', () => { if (availableAgents.length > 0) { populateAgentDropdown(); } diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index a9b33825..ce484d4f 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -92,21 +92,14 @@ export class BuiltInToolProvider { /** * Create MCP server from tool instances (for SDK mode) - * Wraps the existing tool collection into SDK MCP server format - * @param {boolean} modelExceedsLimit - Whether to exclude generate_quantitative_model + * Exposes all built-in tools — allowedTools in the SDK query handles mode/token filtering * @returns {Object} MCP server instance */ - getMcpServer(modelExceedsLimit = false) { + getMcpServer() { const toolCollection = this.createToolCollection(); const toolsArr = []; - // Wrap each tool for SDK mode for (const [toolName, toolDef] of Object.entries(toolCollection.tools)) { - // Skip generate_quantitative_model if model exceeds limit - if (modelExceedsLimit && toolName === 'generate_quantitative_model') { - continue; - } - // Tools in SDK mode need to throw errors instead of returning error responses const sdkHandler = async (args) => { const result = await toolDef.handler(args); @@ -116,7 +109,6 @@ export class BuiltInToolProvider { return result; }; - // Use the tool() helper to create SDK tool instances toolsArr.push(tool({ name: toolName, description: toolDef.description, @@ -125,7 +117,7 @@ export class BuiltInToolProvider { })); } - logger.log(`Creating builtin MCP server with ${toolsArr.length} tools (modelExceedsLimit: ${modelExceedsLimit})`); + logger.log(`Creating builtin MCP server with ${toolsArr.length} tools`); return createSdkMcpServer({ name: 'builtin', version: '1.0.0', diff --git a/agent/tools/DynamicToolProvider.js b/agent/tools/DynamicToolProvider.js index 3f2b565b..6bff1247 100644 --- a/agent/tools/DynamicToolProvider.js +++ b/agent/tools/DynamicToolProvider.js @@ -18,28 +18,12 @@ export class DynamicToolProvider { this.sessionManager = sessionManager; this.sessionId = sessionId; this.sendToClient = sendToClient; - this.toolCollection = null; - - // Initialize schema converter this.schemaConverter = new StructuredOutputToZodConverter(); - } - - /** - * Update tools based on client registration - */ - updateTools(clientTools) { - const session = this.sessionManager.getSession(this.sessionId); - if (!session) { - throw new Error(`Session not found: ${this.sessionId}`); - } - // Store registered tools - session.registeredTools = clientTools; - - // Create tool collection from client tools + const session = sessionManager.getSession(sessionId); + const clientTools = session?.clientTools || []; this.toolCollection = this.createToolCollectionFromClientTools(clientTools); - - logger.log(`Updated dynamic tools for session ${this.sessionId}: ${clientTools.map(t => `client_${t.name}`).join(', ')}`); + logger.log(`DynamicToolProvider initialized for session ${sessionId} with ${clientTools.length} client tools`); } /** @@ -193,15 +177,14 @@ export class DynamicToolProvider { * Get list of registered client tool names (with client_ prefix) */ getToolNames() { - const session = this.sessionManager.getSession(this.sessionId); - return session?.registeredTools.map(t => `client_${t.name}`) || []; + return Object.keys(this.toolCollection?.tools || {}); } /** * Check if a tool is a client tool (expects prefixed name) */ isClientTool(toolName) { - return this.getClientToolNames().includes(toolName); + return this.getToolNames().includes(toolName); } /** diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index 0ac640f5..508d204d 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -14,6 +14,7 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. export function createGetCurrentModelTool(sessionManager, sessionId, sendToClient) { return { description: 'Get the current model from the client. Returns the model data that is currently loaded in the client.', + supportedModes: ['sfd', 'cld'], inputSchema: z.object({}), handler: async () => { try { @@ -55,6 +56,7 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { return { description: 'Update the model in the client with new model data. This replaces the current model.', + supportedModes: ['sfd', 'cld'], inputSchema: z.object({ modelData: z.any().describe('The model data to update in the client') }), @@ -98,6 +100,7 @@ export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { export function createRunModelTool(sessionManager, sessionId, sendToClient) { return { description: 'Run the model simulation in the client. Returns a runId for the completed run.', + supportedModes: ['sfd', 'cld'], inputSchema: z.object({}), handler: async () => { try { @@ -143,6 +146,7 @@ export function createRunModelTool(sessionManager, sessionId, sendToClient) { export function createGetRunInfoTool(sessionManager, sessionId, sendToClient) { return { description: 'Get information about all simulation runs. Returns a list of run objects, where each run object contains an id, name, and optional metadata.', + supportedModes: ['sfd'], inputSchema: z.object({}), handler: async () => { try { @@ -187,6 +191,7 @@ export function createGetRunInfoTool(sessionManager, sessionId, sendToClient) { export function createGetVariableDataTool(sessionManager, sessionId, sendToClient) { return { description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs. For visualization or analysis, consider requesting a small subset of key variables first.', + supportedModes: ['sfd'], inputSchema: z.object({ variableNames: z.array(z.string()).describe('List of variable names to get data for'), runIds: z.array(z.string()).describe('List of run IDs to get variable data from'), diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index 52d483c9..8c3a4245 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -15,6 +15,7 @@ Visualization types: - comparison: Multi-run comparison charts Use useAICustom=true to have AI generate custom matplotlib code for complex visualizations.`, + supportedModes: ['sfd'], inputSchema: z.object({ type: z.enum(['time_series', 'phase_portrait', 'feedback_dominance', 'comparison']).optional(), data: z.object({}).passthrough().describe('The data to visualize (time series format or feedback loop data)'), diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index b65f529f..66af6962 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -9,6 +9,7 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, sendToClient) { return { description: 'Have a user-friendly discussion about the model without jargon, with the ability to compare and explain differences between simulation runs. Use this to understand what causes behavioral differences across runs - analyzing how different scenarios or parameter changes produce different outcomes by examining the underlying feedback loop dynamics.', + supportedModes: ['sfd'], inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), model: SDModelSchema.describe('The model to discuss'), diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 50445529..60614c0a 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -9,6 +9,7 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. export function createDiscussModelWithSeldonTool(sessionManager, sessionId, sendToClient) { return { description: 'Have an expert-level discussion about the model using System Dynamics terminology. Use this for technical analysis and SD theory discussions.', + supportedModes: ['sfd', 'cld'], inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), model: SDModelSchema.describe('The model to discuss'), diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index fbbe08d3..72f4218f 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -9,6 +9,7 @@ import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; export function createDiscussWithMentorTool(sessionManager, sessionId) { return { description: 'Ask thoughtful questions to the user to guide their learning and help them think through System Dynamics concepts. Use this to engage users in Socratic dialogue about their model.', + supportedModes: ['sfd', 'cld'], inputSchema: z.object({ prompt: z.string().describe('The question or guidance to provide to the user'), model: SDModelSchema.describe('The model being discussed'), diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js index 2a2d33c1..5aa1577b 100644 --- a/agent/tools/builtin/generateDocumentation.js +++ b/agent/tools/builtin/generateDocumentation.js @@ -2,6 +2,7 @@ import { z } from 'zod'; import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callDocumentationEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import config from '../../../config.js'; /** * Auto-generate documentation for model variables @@ -9,6 +10,8 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. export function createGenerateDocumentationTool(sessionManager, sessionId, sendToClient) { return { description: 'Auto-generate documentation for model variables including descriptions and polarity.', + supportedModes: ['sfd', 'cld'], + maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ model: SDModelSchema.describe('The model to document'), parameters: z.object({ diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 05f83272..1a4acb90 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -9,6 +9,7 @@ import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { return { description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', + supportedModes: ['sfd'], inputSchema: z.object({ model: SDModelSchema.describe('The model to analyze'), feedbackContent: FeedbackContentSchema, diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index 1d65f24c..9f9c2136 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -2,6 +2,7 @@ import { z } from 'zod'; import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callQualitativeEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import config from '../../../config.js'; /** * Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships @@ -9,6 +10,8 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. export function createGenerateQualitativeModelTool(sessionManager, sessionId, sendToClient) { return { description: 'Generate a Causal Loop Diagram (CLD) showing feedback loops and causal relationships. Use this for conceptual models focusing on system structure. Automatically pushes the generated model to the client.', + supportedModes: ['cld'], + maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), currentModel: SDModelSchema.optional().describe('Existing model to build upon'), diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index 265f3113..d3955eed 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -10,6 +10,8 @@ import config from '../../../config.js'; export function createGenerateQuantitativeModelTool(sessionManager, sessionId, sendToClient) { return { description: 'Generate a Stock Flow Diagram (SFD) model with equations and quantitative structure. Use this for building computational models that can be simulated. Automatically pushes the generated model to the client.', + supportedModes: ['sfd'], + maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), currentModel: SDModelSchema.optional().describe('Existing model to build upon'), @@ -23,13 +25,6 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s }), handler: async ({ prompt, currentModel, parameters }) => { try { - // Check if model exceeds token limit - if so, refuse to call this tool - if (sessionManager.modelExceedsTokenLimit(sessionId)) { - return createErrorResponse( - `Cannot use generate_quantitative_model when the model exceeds the token limit (${config.agentMaxTokensForEngines} tokens). The model is currently ${sessionManager.getModelTokenCount(sessionId)} tokens. Please use read_model_section and edit_model_section tools instead to work with large models.` - ); - } - const result = await callQuantitativeEngine(prompt, currentModel, parameters); if (!result.success) { diff --git a/agent/tools/builtin/getFeedbackInformation.js b/agent/tools/builtin/getFeedbackInformation.js index c96b1c55..71fcf51f 100644 --- a/agent/tools/builtin/getFeedbackInformation.js +++ b/agent/tools/builtin/getFeedbackInformation.js @@ -8,6 +8,7 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. export function createGetFeedbackInformationTool(sessionManager, sessionId, sendToClient) { return { description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Provide a list of run IDs to get feedback for.', + supportedModes: ['sfd', 'cld'], inputSchema: z.object({ runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for') }), diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 56e00e3c..641b5c61 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -4,6 +4,7 @@ import { join } from 'path'; import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import logger from '../../../utilities/logger.js'; +import config from '../../../config.js'; /** * Read a specific section of the large model file @@ -37,6 +38,8 @@ Filtering: - variableNames filter matches base names (e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost") - moduleName filter gets all variables from a specific module (by name prefix) - usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores)`, + supportedModes: ['sfd', 'cld'], + minModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to read'), filter: z.object({ @@ -237,6 +240,8 @@ CRITICAL ARRAY RULES: * CRITICAL: Every SUM equation MUST contain at least one asterisk (*) After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, + supportedModes: ['sfd', 'cld'], + minModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to edit'), operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), @@ -510,9 +515,9 @@ After editing, the model is validated and processed through the quantitative eng break; } - const modelType = session.modelType; + const mode = session.mode; - if (modelType !== 'sfd') { + if (mode !== 'sfd') { return handleError('Error: Model editing is only supported for quantitative (SFD) models'); } diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index a55a309f..a9d39167 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -25,14 +25,14 @@ NEVER switch between CLD and SFD during a session. ## CRITICAL: CLD vs SFD - Behavior and Visualization **CLDs (Causal Loop Diagrams) are QUALITATIVE ONLY:** - CLDs show causal structure and feedback loops but have NO quantitative behavior -- NEVER run simulations on CLDs (no run_model, no get_run_data) +- NEVER run simulations on CLDs (no run_model, no get_variable_data) - NEVER create visualizations for CLDs (no create_visualization) - CLDs are for conceptual exploration and understanding causal relationships only - CLDs help identify feedback loop structure before building quantitative models **SFDs (Stock Flow Diagrams) are QUANTITATIVE:** - SFDs have equations and can be simulated to produce time series behavior -- Use run_model, get_run_data, and create_visualization for SFDs only +- Use run_model, get_variable_data, and create_visualization for SFDs only - ALWAYS check that stocks and variables that represent physical quantities (population, inventory, resources, etc.) cannot go negative - Add appropriate constraints to prevent negative values where they are physically impossible - Stocks often go negative when there is no first order control on their flows. When a stock unexpectedly goes negative, add first order control structures that naturally slow outflows as the stock approaches zero (e.g., fractional outflow rates proportional to the stock level) @@ -43,7 +43,7 @@ NEVER switch between CLD and SFD during a session. When a user requests a visualization: - ALWAYS use the current model as-is without any modifications - NEVER modify, update, or change the existing model structure or parameters to create visualizations -- Follow this sequence: get_current_model -> run_model (if needed) -> get_run_data -> create_visualization +- Follow this sequence: get_current_model -> run_model (if needed) -> get_variable_data -> create_visualization - If the current model cannot produce the requested visualization, inform the user rather than modifying the model - Visualizations should reflect the current state of the model, not an idealized or modified version @@ -56,7 +56,7 @@ When calling create_visualization, the data parameter MUST be structured exactly ... } -**Common Error:** Do NOT pass the full tool result from get_run_data (which includes success, runId, etc.). +**Common Error:** Do NOT pass the full tool result from get_variable_data (which includes success, runId, etc.). Instead, extract ONLY the time series data fields: - Correct: { time: result.time, Population: result.Population, Births: result.Births } - Wrong: result (includes success, runId, and other metadata) @@ -137,7 +137,8 @@ When feedback analysis tools fail due to missing feedback information: description: metadata.description, version: metadata.version, max_iterations: metadata.max_iterations || 20, - supports: metadata.supports || ['sfd', 'cld'] + use_agent_sdk: true, + supported_modes: metadata.supported_modes || [] } }; this.baseConfig = this.config.agent; @@ -173,7 +174,8 @@ When feedback analysis tools fail due to missing feedback information: description: '', version: '1.0', max_iterations: 20, - supports: ['sfd', 'cld'] + use_agent_sdk: true, + supported_modes: [] }, content: fileContent }; @@ -233,14 +235,14 @@ When feedback analysis tools fail due to missing feedback information: * Build system prompt with optional model type * Combines universal instructions with agent-specific content */ - buildSystemPrompt(modelType = null) { + buildSystemPrompt(mode = null) { // Start with universal instructions let prompt = AgentConfigurationManager.UNIVERSAL_AGENT_INSTRUCTIONS; // Add model type section if specified - if (modelType) { - prompt += `\n\n## SESSION MODEL TYPE: ${modelType.toUpperCase()}`; - prompt += `\nThis session is working with ${modelType === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`; + if (mode) { + prompt += `\n\n## SESSION MODEL TYPE: ${mode.toUpperCase()}`; + prompt += `\nThis session is working with ${mode === 'cld' ? 'Causal Loop Diagrams (CLD)' : 'Stock Flow Diagrams (SFD)'}.`; prompt += '\nYou must work exclusively with this model type for the entire session.'; } diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 6fa2f340..e4986bc7 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -90,7 +90,7 @@ export const InitializeSessionMessageSchema = z.object({ authenticationKey: z.string().describe('Authentication key for server access'), clientProduct: z.string().describe('Client product name (e.g., "sd-web", "sd-desktop")'), clientVersion: z.string().describe('Client version (e.g., "1.0.0")'), - modelType: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), + mode: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), model: SDModelSchema, tools: z.array(ToolDefinitionSchema).describe('Array of client-side tools available for the agent to call'), historicalMessages: z.array(HistoricalMessageSchema).optional().describe('Optional array of historical messages from a previous session to provide context'), diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 5fc976ec..bc55c572 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -79,25 +79,19 @@ export class SessionManager { lastActivity: Date.now(), // Client-provided data - modelType: null, // 'cld' or 'sfd' - set once at initialization, never changes + mode: null, // 'cld' or 'sfd' - set once at initialization, never changes clientModel: null, - registeredTools: [], - sessionConfig: null, + clientTools: [], context: {}, // Model token tracking modelTokenCount: 0, - modelExceedsTokenLimit: false, // Active tool calls awaiting client response pendingToolCalls: new Map(), // Agent conversation context (for Claude Agent SDK) - conversationContext: [], - - // Usage metrics (anonymous) - messageCount: 0, - toolCallCount: 0 + conversationContext: [] }; this.sessions.set(sessionId, session); @@ -121,28 +115,28 @@ export class SessionManager { /** * Initialize a session with model and tools */ - initializeSession(sessionId, modelType, model, tools, context) { + initializeSession(sessionId, mode, model, tools, context) { const session = this.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); } // Validate model type - if (modelType !== 'cld' && modelType !== 'sfd') { - throw new Error(`Invalid modelType: ${modelType}. Must be 'cld' or 'sfd'`); + if (mode !== 'cld' && mode !== 'sfd') { + throw new Error(`Invalid mode: ${mode}. Must be 'cld' or 'sfd'`); } // Set model type (can only be set once) - if (session.modelType && session.modelType !== modelType) { - throw new Error(`Cannot change model type from ${session.modelType} to ${modelType} during session`); + if (session.mode && session.mode !== mode) { + throw new Error(`Cannot change model type from ${session.mode} to ${mode} during session`); } - session.modelType = modelType; + session.mode = mode; session.clientModel = model; - session.registeredTools = tools; + session.clientTools = tools || []; session.context = context || {}; - logger.log(`Session initialized: ${sessionId} with modelType=${modelType} and ${tools.length} client tools`); + logger.log(`Session initialized: ${sessionId} with mode=${mode} and ${tools.length} client tools`); } /** @@ -170,18 +164,9 @@ export class SessionManager { const session = this.getSession(sessionId); if (session) { session.modelTokenCount = tokenCount; - session.modelExceedsTokenLimit = tokenCount > config.agentMaxTokensForEngines; } } - /** - * Check if model exceeds token limit - */ - modelExceedsTokenLimit(sessionId) { - const session = this.getSession(sessionId); - return session?.modelExceedsTokenLimit || false; - } - /** * Get model token count */ @@ -205,7 +190,6 @@ export class SessionManager { const session = this.getSession(sessionId); if (session) { session.conversationContext.push(message); - session.messageCount++; // Limit conversation history size to prevent memory bloat if (session.conversationContext.length > this.maxConversationHistory) { @@ -388,8 +372,6 @@ ${conversationText}` reject: rejecter }); - session.toolCallCount++; - return promise; } return Promise.reject(new Error('Session not found')); @@ -404,7 +386,7 @@ ${conversationText}` const pendingCall = session.pendingToolCalls.get(callId); if (pendingCall) { if (isError) { - pendingCall.reject(new Error(result.error || 'Tool call failed')); + pendingCall.reject(new Error(typeof result === 'string' ? result : (result?.error || 'Tool call failed'))); } else { pendingCall.resolve(result); } @@ -442,7 +424,6 @@ ${conversationText}` session.ws = null; session.clientModel = null; session.conversationContext = []; - session.registeredTools = []; this.sessions.delete(sessionId); diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 655cfcc7..0709d59f 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -63,6 +63,37 @@ export class VisualizationEngine { return `viz_${randomBytes(8).toString('hex')}`; } + /** + * Truncate all arrays in data to the shortest length among time and the requested variables. + * Prevents matplotlib errors when detailed run data and time arrays have different lengths. + */ + #normalizeRunData(runData, variables, label) { + if (!runData?.time || !Array.isArray(runData.time)) return runData; + const keys = ['time', ...variables].filter(k => Array.isArray(runData[k])); + const minLen = Math.min(...keys.map(k => runData[k].length)); + if (keys.every(k => runData[k].length === minLen)) return runData; + const trimmed = keys.filter(k => runData[k].length > minLen); + logger.log(`normalizeArrayLengths${label ? ` ${label}` : ''}: trimming to ${minLen} points. Affected keys: ${trimmed.map(k => `${k}(${runData[k].length})`).join(', ')}`); + const normalized = { ...runData }; + for (const k of trimmed) normalized[k] = normalized[k].slice(0, minLen); + return normalized; + } + + normalizeArrayLengths(data, variables) { + // Comparison format: { runs: [{ data: { time, varName } }] } + // Each run is normalized independently — runs may have different lengths. + if (data?.runs && Array.isArray(data.runs)) { + const normalizedRuns = data.runs.map((run, idx) => { + const normalizedRunData = this.#normalizeRunData(run.data, variables, `run[${idx}]`); + return normalizedRunData === run.data ? run : { ...run, data: normalizedRunData }; + }); + return { ...data, runs: normalizedRuns }; + } + + // Flat format: { time, var1, var2, ... } (time_series, phase_portrait, feedback_dominance) + return this.#normalizeRunData(data, variables, null); + } + /** * Create visualization - always returns SVG string */ @@ -90,7 +121,8 @@ export class VisualizationEngine { try { // 1. Write data to temp file - writeFileSync(dataPath, JSON.stringify(data)); + const normalizedData = this.normalizeArrayLengths(data, variables); + writeFileSync(dataPath, JSON.stringify(normalizedData)); // 2. Generate Python script using AI const pythonScript = await this.generateAIVisualizationScript( @@ -253,7 +285,8 @@ Generate ONLY working Python code, no explanations.`; try { // 1. Write data to temp file - writeFileSync(dataPath, JSON.stringify(data)); + const normalizedData = this.normalizeArrayLengths(data, variables); + writeFileSync(dataPath, JSON.stringify(normalizedData)); // 2. Generate Python script const pythonScript = this.generatePythonVisualizationScript( diff --git a/agent/websocket.js b/agent/websocket.js index 80ed1b55..11efdca9 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -71,7 +71,7 @@ function getAvailableAgents() { agents.push({ id: file.replace('.md', ''), name: metadata.name || file.replace('.md', ''), - supports: metadata.supports || [], + supportedModes: metadata.supported_modes || [], description: metadata.description || '' }); } @@ -217,14 +217,14 @@ export function handleWebSocketConnection(ws, sessionManager) { } // Validate model type - if (!message.modelType || !['cld', 'sfd'].includes(message.modelType)) { - throw new Error('Invalid or missing modelType. Must be "cld" or "sfd".'); + if (!message.mode || !['cld', 'sfd'].includes(message.mode)) { + throw new Error('Invalid or missing mode. Must be "cld" or "sfd".'); } // Initialize session with model type, model, tools, and context sessionManager.initializeSession( sessionId, - message.modelType, + message.mode, message.model, message.tools, message.context @@ -321,9 +321,6 @@ export function handleWebSocketConnection(ws, sessionManager) { configPath ); - // Get session to access tools - const session = sessionManager.getSession(sessionId); - // Send agent selected message await sendToClient(createAgentSelectedMessage(sessionId, selectedAgent.id, selectedAgent.name)); diff --git a/tests/agent/AgentConfigurationManager.test.js b/tests/agent/AgentConfigurationManager.test.js index 8e5362eb..ff14dc4c 100644 --- a/tests/agent/AgentConfigurationManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -29,9 +29,9 @@ describe('AgentConfigurationManager', () => { describe('buildSystemPrompt', () => { it('should build system prompt with model type context', () => { - const modelType = 'cld'; + const mode = 'cld'; - const prompt = configManager.buildSystemPrompt(modelType); + const prompt = configManager.buildSystemPrompt(mode); expect(prompt).toContain('CLD'); expect(prompt).toContain('Causal Loop Diagram'); diff --git a/tests/agent/MessageProtocol.test.js b/tests/agent/MessageProtocol.test.js index cbe2ebcf..57f0c9e9 100644 --- a/tests/agent/MessageProtocol.test.js +++ b/tests/agent/MessageProtocol.test.js @@ -55,7 +55,7 @@ describe('MessageProtocol', () => { authenticationKey: 'test-key', clientProduct: 'sd-web', clientVersion: '1.0.0', - modelType: 'cld', + mode: 'cld', model: { variables: [] }, tools: [] }; @@ -64,13 +64,13 @@ describe('MessageProtocol', () => { expect(result.success).toBe(true); }); - it('should require modelType to be cld or sfd', () => { + it('should require mode to be cld or sfd', () => { const message = { type: 'initialize_session', authenticationKey: 'test-key', clientProduct: 'sd-web', clientVersion: '1.0.0', - modelType: 'invalid', + mode: 'invalid', model: {}, tools: [] }; @@ -85,7 +85,7 @@ describe('MessageProtocol', () => { authenticationKey: 'test-key', clientProduct: 'sd-web', clientVersion: '1.0.0', - modelType: 'sfd', + mode: 'sfd', model: {}, tools: [], context: { description: 'This is test context' } diff --git a/tests/agent/SessionManager.test.js b/tests/agent/SessionManager.test.js index 1f182b1d..a91687f4 100644 --- a/tests/agent/SessionManager.test.js +++ b/tests/agent/SessionManager.test.js @@ -16,31 +16,31 @@ describe('SessionManager', () => { describe('initializeSession', () => { it('should create a new session with CLD model type', () => { - const modelType = 'cld'; + const mode = 'cld'; const model = { variables: [], relationships: [] }; const tools = []; const context = { description: 'Test context' }; const sessionId = sessionManager.createSession(null); // null WebSocket for testing - sessionManager.initializeSession(sessionId, modelType, model, tools, context); + sessionManager.initializeSession(sessionId, mode, model, tools, context); const session = sessionManager.getSession(sessionId); expect(session).toBeDefined(); - expect(session.modelType).toBe('cld'); + expect(session.mode).toBe('cld'); expect(session.clientModel).toEqual(model); expect(session.context).toEqual(context); expect(session.conversationContext).toEqual([]); }); it('should create a new session with SFD model type', () => { - const modelType = 'sfd'; + const mode = 'sfd'; const model = { variables: [] }; const sessionId = sessionManager.createSession(null); - sessionManager.initializeSession(sessionId, modelType, model, [], {}, ''); + sessionManager.initializeSession(sessionId, mode, model, [], {}, ''); const session = sessionManager.getSession(sessionId); - expect(session.modelType).toBe('sfd'); + expect(session.mode).toBe('sfd'); }); it('should create temp folder for session', () => { @@ -67,7 +67,7 @@ describe('SessionManager', () => { const session = sessionManager.getSession(sessionId); expect(session).toBeDefined(); - expect(session.modelType).toBe('cld'); + expect(session.mode).toBe('cld'); }); it('should return undefined for non-existent session', () => { From 826955b6d1ff8632113fe90784a474bb81f13145 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 12:15:49 -0400 Subject: [PATCH 046/226] SFD & CLD capitalizations --- agent/config/ganos-lal.md | 32 ++++++++++++++++---------------- agent/config/myrddin.md | 30 +++++++++++++++--------------- 2 files changed, 31 insertions(+), 31 deletions(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index 84c5f992..9a9e9c83 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -140,60 +140,60 @@ Focus on educational validation: ## Tool Usage Policies -### get_current_model *(SFD + CLD)* +### get_current_model *(sfd + cld)* **When to use:** Always before any analysis or modification **Frequency:** At start of every modeling conversation -### update_model *(SFD + CLD)* +### update_model *(sfd + cld)* **When to use:** Only after discussing changes with the user **Always explain** your reasoning when using this tool -### run_model *(SFD only)* +### run_model *(sfd only)* **When to use:** After user understands the model structure and structural validation passes **Auto-suggest** this tool when appropriate -### get_run_info *(SFD only)* +### get_run_info *(sfd only)* **When to use:** After running a simulation, to get the list of available run IDs **Frequency:** Before calling `get_variable_data` to retrieve data for visualization -### get_variable_data *(SFD only)* +### get_variable_data *(sfd only)* **When to use:** After `get_run_info`, to fetch time-series data for specific variables **IMPORTANT:** If you're going to make a plot pass `detailed=true` to get enough data points for plotting **Frequency:** Every time before `create_visualization` -### generate_ltm_narrative *(SFD only)* +### generate_ltm_narrative *(sfd only)* **When to use:** When deep feedback loop analysis would help explain complex behavior, you MUST call get_feedback_information first **Frequency:** As needed for understanding causal mechanisms -### discuss_with_mentor *(SFD + CLD)* +### discuss_with_mentor *(sfd + cld)* **When to use:** Frequently - this is your primary teaching tool, make sure to call get_feedback_information first **Frequency:** Multiple times per conversation, especially after simulations **Auto-suggest** this tool when appropriate -### discuss_model_across_runs *(SFD only)* +### discuss_model_across_runs *(sfd only)* **When to use:** Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language, but first call get_feedback_information **Frequency:** When comparing simulation results from different runs or scenarios -### discuss_model_with_seldon *(SFD + CLD)* +### discuss_model_with_seldon *(sfd + cld)* **When to use:** After simulations to understand WHY behavior occurs, but first call get_feedback_information **Frequency:** Primary tool for explaining causal mechanisms and feedback loop behavior **Auto-suggest** this tool when appropriate -### generate_quantitative_model *(SFD only)* -**When to use:** For SFD models - keep them simple +### generate_quantitative_model *(sfd only)* +**When to use:** For sfd models - keep them simple **Default parameters:** {"supportsArrays":false,"supportsModules":false} -### generate_qualitative_model *(CLD only)* -**When to use:** For CLD models and conceptual exploration +### generate_qualitative_model *(cld only)* +**When to use:** For cld models and conceptual exploration -### create_visualization *(SFD only)* +### create_visualization *(sfd only)* **When to use:** After every simulation and model update to support learning - show visualizations to help users understand behavior -### generate_documentation *(SFD + CLD)* +### generate_documentation *(sfd + cld)* **When to use:** Anytime the user asks the model to be documented. **Frequency:** Only use this tool on request -### get_feedback_information *(SFD + CLD)* +### get_feedback_information *(sfd + cld)* **When to use:** Anytime you're going to use a tool that discusses the model **Auto-suggest** this tool when appropriate diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 81ba57f2..19bd0ff9 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -80,55 +80,55 @@ Create analytical visualizations: ## Tool Usage Policies -### get_current_model *(SFD + CLD)* +### get_current_model *(sfd + cld)* **When to use:** Always before any analysis or modification **Frequency:** At start of every modeling conversation -### update_model *(SFD + CLD)* +### update_model *(sfd + cld)* **When to use:** Only after thorough theoretical justification **Always explain** your reasoning when using this tool -### run_model *(SFD only)* +### run_model *(sfd only)* **When to use:** After structural validation passes **Auto-suggest** this tool when appropriate -### get_run_info *(SFD only)* +### get_run_info *(sfd only)* **When to use:** After running a simulation, to get the list of available run IDs **Frequency:** Before calling `get_variable_data` to retrieve data for visualization -### get_variable_data *(SFD only)* +### get_variable_data *(sfd only)* **When to use:** After `get_run_info`, to fetch time-series data for specific variables **IMPORTANT:** Always pass `detailed=true` to get enough data points for plotting **Frequency:** Every time before `create_visualization` -### generate_ltm_narrative *(SFD only)* +### generate_ltm_narrative *(sfd only)* **When to use:** When deep feedback loop analysis would help explain complex behavior **Frequency:** As needed for understanding causal mechanisms -### discuss_model_with_seldon *(SFD + CLD)* +### discuss_model_with_seldon *(sfd + cld)* **When to use:** Default discussion tool for understanding WHY behavior occurs - use SD terminology freely **Frequency:** After simulations to understand causal mechanisms and critique models **Auto-suggest** this tool when appropriate -### discuss_model_across_runs *(SFD only)* +### discuss_model_across_runs *(sfd only)* **When to use:** Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics **Frequency:** When comparing simulation results from different runs or scenarios -### generate_quantitative_model *(SFD only)* -**When to use:** For SFD models - use arrays and modules when appropriate +### generate_quantitative_model *(sfd only)* +**When to use:** For sfd models - use arrays and modules when appropriate **Default parameters:** {"supportsArrays":true,"supportsModules":true} -### generate_qualitative_model *(CLD only)* -**When to use:** For CLD models - can be comprehensive +### generate_qualitative_model *(cld only)* +**When to use:** For cld models - can be comprehensive -### create_visualization *(SFD only)* +### create_visualization *(sfd only)* **When to use:** After every simulation and for policy analysis -### generate_documentation *(SFD + CLD)* +### generate_documentation *(sfd + cld)* **When to use:** Anytime the user asks the model to be documented. **Frequency:** Only use this tool on request -### get_feedback_information *(SFD + CLD)* +### get_feedback_information *(sfd + cld)* **When to use:** Anytime you're going to use a tool that discusses the model **Auto-suggest** this tool when appropriate From ccc60799ff03f8f6009d803eaf1be4c83e3892d3 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 12:25:05 -0400 Subject: [PATCH 047/226] fixed references in universal instructions --- agent/utilities/AgentConfigurationManager.js | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index a9d39167..de592fce 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -112,17 +112,16 @@ Consider consulting Seldon when facing complex modeling decisions or when you ne ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements. ## CRITICAL: Tool Sequencing After run_model -**get_feedback_information and get_variables MUST always be called AFTER run_model completes — never in the same parallel batch as run_model.** +**get_feedback_information and get_variable_data MUST always be called AFTER run_model completes — never in the same parallel batch as run_model.** run_model produces the data these tools depend on. Always wait for run_model to finish before calling them. ## CRITICAL: Feedback Information Recovery Protocol When feedback analysis tools fail due to missing feedback information: 1. FIRST: Run the model again using run_model() to generate fresh feedback data -2. SECOND: Retry the feedback analysis (get_feedback_information, discuss_model_with_seldon, etc.) +2. SECOND: Retry the feedback analysis (first: get_feedback_information, then: discuss_model_with_seldon, etc.) 3. If STILL no feedback information after running: - Inform user that no feedback loops are currently being tracked - - Explain: "To enable feedback loop analysis, please enable 'Loops That Matter' in the client settings" - - Suggest: They can enable specific feedback loops for tracking and analysis + - Explain: "To enable feedback loop analysis, please enable it in your software" 4. NEVER give up after first failure - always attempt to run model first`; constructor(configPath) { From 396bd21f7dd81a08bc87b101f90cfa3f6f0f95d9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 12:48:07 -0400 Subject: [PATCH 048/226] cleanup the engine wrapper --- agent/utilities/EngineWrapper.js | 83 +++----------------------------- 1 file changed, 8 insertions(+), 75 deletions(-) diff --git a/agent/utilities/EngineWrapper.js b/agent/utilities/EngineWrapper.js index 47223a8b..6835ee35 100644 --- a/agent/utilities/EngineWrapper.js +++ b/agent/utilities/EngineWrapper.js @@ -1,4 +1,11 @@ import logger from '../../utilities/logger.js'; +import QuantitativeEngine from '../../engines/quantitative/engine.js'; +import QualitativeEngine from '../../engines/qualitative/engine.js'; +import SeldonEngine from '../../engines/seldon/engine.js'; +import SeldonILEEngine from '../../engines/seldon-ile-user/engine.js'; +import DocumentationEngine from '../../engines/generate-documentation/engine.js'; +import SeldonMentorEngine from '../../engines/seldon-mentor/engine.js'; +import LTMEngine from '../../engines/ltm-narrative/engine.js'; /** * EngineWrapper @@ -18,8 +25,6 @@ import logger from '../../utilities/logger.js'; */ export async function callQuantitativeEngine(prompt, currentModel, parameters = {}) { try { - // Dynamically import the engine - const { default: QuantitativeEngine } = await import('../../engines/quantitative/engine.js'); // Create engine instance with parameters const engine = new QuantitativeEngine(parameters); @@ -47,7 +52,6 @@ export async function callQuantitativeEngine(prompt, currentModel, parameters = */ export async function callQualitativeEngine(prompt, currentModel, parameters = {}) { try { - const { default: QualitativeEngine } = await import('../../engines/qualitative/engine.js'); const engine = new QualitativeEngine(parameters); const result = await engine.generate(prompt, currentModel, parameters); @@ -72,7 +76,6 @@ export async function callQualitativeEngine(prompt, currentModel, parameters = { */ export async function callSeldonEngine(prompt, model, feedbackContent, parameters = {}) { try { - const { default: SeldonEngine } = await import('../../engines/seldon/engine.js'); const engine = new SeldonEngine(parameters); @@ -102,7 +105,6 @@ export async function callSeldonEngine(prompt, model, feedbackContent, parameter */ export async function callSeldonILEEngine(prompt, model, runName, parameters = {}) { try { - const { default: SeldonILEEngine } = await import('../../engines/seldon-ile-user/engine.js'); const engine = new SeldonILEEngine(parameters); @@ -133,7 +135,6 @@ export async function callSeldonILEEngine(prompt, model, runName, parameters = { */ export async function callDocumentationEngine(model, parameters = {}) { try { - const { default: DocumentationEngine } = await import('../../engines/generate-documentation/engine.js'); const engine = new DocumentationEngine(parameters); @@ -160,7 +161,6 @@ export async function callDocumentationEngine(model, parameters = {}) { */ export async function callLTMEngine(model, feedbackContent, parameters = {}) { try { - const { default: LTMEngine } = await import('../../engines/ltm-narrative/engine.js'); const engine = new LTMEngine(parameters); @@ -191,7 +191,6 @@ export async function callLTMEngine(model, feedbackContent, parameters = {}) { */ export async function callSeldonMentorEngine(prompt, model, feedbackContent, parameters = {}) { try { - const { default: SeldonMentorEngine } = await import('../../engines/seldon-mentor/engine.js'); const engine = new SeldonMentorEngine(parameters); @@ -214,70 +213,4 @@ export async function callSeldonMentorEngine(prompt, model, feedbackContent, par error: error.message }; } -} - -/** - * Get list of available engines with their metadata - */ -export async function getAvailableEngines() { - // Dynamically import all engines to get their metadata - const { default: QuantitativeEngine } = await import('../../engines/quantitative/engine.js'); - const { default: QualitativeEngine } = await import('../../engines/qualitative/engine.js'); - const { default: SeldonEngine } = await import('../../engines/seldon/engine.js'); - const { default: SeldonILEEngine } = await import('../../engines/seldon-ile-user/engine.js'); - const { default: DocumentationEngine } = await import('../../engines/generate-documentation/engine.js'); - const { default: LTMEngine } = await import('../../engines/ltm-narrative/engine.js'); - const { default: SeldonMentorEngine } = await import('../../engines/seldon-mentor/engine.js'); - - return [ - { - name: 'generate_quantitative_model', - displayName: 'Quantitative Model Generator', - description: QuantitativeEngine.description(), - modes: QuantitativeEngine.supportedModes(), - wrapper: callQuantitativeEngine - }, - { - name: 'generate_qualitative_model', - displayName: 'Qualitative Model Generator', - description: QualitativeEngine.description(), - modes: QualitativeEngine.supportedModes(), - wrapper: callQualitativeEngine - }, - { - name: 'discuss_model_with_seldon', - displayName: 'Seldon Expert Discussion', - description: SeldonEngine.description(), - modes: SeldonEngine.supportedModes(), - wrapper: callSeldonEngine - }, - { - name: 'discuss_model_across_runs', - displayName: 'Cross-Run Model Discussion', - description: SeldonILEEngine.description(), - modes: SeldonILEEngine.supportedModes(), - wrapper: callSeldonILEEngine - }, - { - name: 'generate_documentation', - displayName: 'Documentation Generator', - description: DocumentationEngine.description(), - modes: DocumentationEngine.supportedModes(), - wrapper: callDocumentationEngine - }, - { - name: 'generate_ltm_narrative', - displayName: 'LTM Narrative Generator', - description: LTMEngine.description(), - modes: LTMEngine.supportedModes(), - wrapper: callLTMEngine - }, - { - name: 'discuss_with_mentor', - displayName: 'Seldon Mentor Discussion', - description: SeldonMentorEngine.description(), - modes: SeldonMentorEngine.supportedModes(), - wrapper: callSeldonMentorEngine - } - ]; -} +} \ No newline at end of file From f9f821b0682f53522fcdee10e60a2b9e1d35bf13 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 12:59:23 -0400 Subject: [PATCH 049/226] update historical message schema --- agent/utilities/MessageProtocol.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index e4986bc7..7ce195db 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -80,9 +80,9 @@ const HistoricalMessageSchema = z.object({ visualizationId: z.string().optional().describe('Unique ID for the visualization (for visualization messages)'), visualizationTitle: z.string().optional().describe('Title of the visualization (for visualization messages)'), visualizationDescription: z.string().optional().describe('Description of the visualization (for visualization messages)'), - imageData: z.string().optional().describe('Base64-encoded image data (for visualization messages)'), + svgData: z.string().optional().describe('Image data (for visualization messages)'), status: z.string().optional().describe('Status for agent_complete messages') -}).describe('Historical message from a previous session'); +}).catchall(z.any()).describe('Historical message from a previous session'); export const InitializeSessionMessageSchema = z.object({ type: z.literal('initialize_session').describe('Message type identifier'), From 764c8d52bb291fd90f9cd9fb669a79057aed96eb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 13:53:35 -0400 Subject: [PATCH 050/226] Make sure initial messages are smartly compacted --- agent/utilities/SessionManager.js | 76 ++++++++++++------- agent/websocket.js | 4 + .../agent/SessionManagerSummarization.test.js | 2 +- 3 files changed, 54 insertions(+), 28 deletions(-) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index bc55c572..6b88094b 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -19,6 +19,8 @@ import config from '../../config.js'; * - Orphaned temp directory cleanup */ export class SessionManager { + static MAX_COMPRESSION_TOKENS_PER_PASS = 200_000; + constructor(options = {}) { this.sessions = new Map(); @@ -254,14 +256,14 @@ ${conversationText}` logger.log(`Created message history summary: ${summaryText.substring(0, 100)}...`); return { - role: 'user', + role: 'assistant', content: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` }; } catch (error) { logger.error('Error summarizing message history:', error); return { - role: 'user', + role: 'assistant', content: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' }; } @@ -276,35 +278,55 @@ ${conversationText}` if (!session) return; const messages = session.conversationContext; - const currentTokens = countTokens(JSON.stringify(messages)); - if (currentTokens <= maxContextTokens) return; - - logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${maxContextTokens})`); - - const firstMessage = messages[0]; - const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); - const SUMMARY_TOKEN_ESTIMATE = 1000; - let remainingTokenBudget = maxContextTokens - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; - const keptRecentMessages = []; - - for (let i = messages.length - 1; i >= 1; i--) { - const messageTokens = countTokens(JSON.stringify(messages[i])); - if (remainingTokenBudget - messageTokens >= 0) { - keptRecentMessages.unshift(messages[i]); - remainingTokenBudget -= messageTokens; - } else { - break; + const MAX_PASSES = 10; + + for (let pass = 0; pass < MAX_PASSES; pass++) { + const currentTokens = countTokens(JSON.stringify(messages)); + if (currentTokens <= maxContextTokens) break; + + logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${maxContextTokens})`); + + const firstMessage = messages[0]; + const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); + const SUMMARY_TOKEN_ESTIMATE = 1000; + let remainingTokenBudget = maxContextTokens - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; + const keptRecentMessages = []; + + for (let i = messages.length - 1; i >= 1; i--) { + const messageTokens = countTokens(JSON.stringify(messages[i])); + if (remainingTokenBudget - messageTokens >= 0) { + keptRecentMessages.unshift(messages[i]); + remainingTokenBudget -= messageTokens; + } else { + break; + } } - } - if (keptRecentMessages.length < messages.length - 1) { + if (keptRecentMessages.length >= messages.length - 1) break; + const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); - if (messagesToSummarize.length > 0) { - const summaryMessage = await this.#summarizeMessages(messagesToSummarize); - messages.splice(0, messages.length, firstMessage, summaryMessage, ...keptRecentMessages); - const newTokenCount = countTokens(JSON.stringify(messages)); - logger.log(`Summarized context: ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount})`); + if (messagesToSummarize.length === 0) break; + + // Cap how many tokens go to the LLM in one compression call + let batchToSummarize = messagesToSummarize; + if (countTokens(JSON.stringify(batchToSummarize)) > SessionManager.MAX_COMPRESSION_TOKENS_PER_PASS) { + batchToSummarize = []; + let tokenBudget = SessionManager.MAX_COMPRESSION_TOKENS_PER_PASS; + for (const msg of messagesToSummarize) { + const msgTokens = countTokens(JSON.stringify(msg)); + if (tokenBudget - msgTokens < 0) break; + batchToSummarize.push(msg); + tokenBudget -= msgTokens; + } } + + if (batchToSummarize.length === 0) break; + + const summaryMessage = await this.#summarizeMessages(batchToSummarize); + // Replace only the batch — remaining messages stay for subsequent passes + messages.splice(1, batchToSummarize.length, summaryMessage); + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Summarized context: ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount})`); } } diff --git a/agent/websocket.js b/agent/websocket.js index 11efdca9..29881bf3 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -13,6 +13,7 @@ import { dirname } from 'path'; import { readdirSync, readFileSync } from 'fs'; import logger from '../utilities/logger.js'; import utils from '../utilities/utils.js'; +import config from '../config.js'; const __filename = fileURLToPath(import.meta.url); const __dirname = dirname(__filename); @@ -271,6 +272,9 @@ export function handleWebSocketConnection(ws, sessionManager) { } } + // Compress historical messages to within the token limit + await sessionManager.summarizeContextIfNeeded(sessionId, config.agentMaxContextTokens); + logger.log(`Loaded ${message.historicalMessages.length} historical messages for session ${sessionId}`); } diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js index 473cd127..139b9371 100644 --- a/tests/agent/SessionManagerSummarization.test.js +++ b/tests/agent/SessionManagerSummarization.test.js @@ -68,7 +68,7 @@ describe('SessionManager.summarizeContextIfNeeded', () => { const context = sessionManager.getConversationContext(sessionId); expect(context[0]).toEqual(firstMessage); - expect(context[1].role).toBe('user'); + expect(context[1].role).toBe('assistant'); expect(context[1].content).toMatch(/\[Previous conversation summary\]/); expect(sessionManager.anthropic.messages.create).toHaveBeenCalled(); }); From 26d437ea1375de4071aa6eb03ec34d9ac61eb9ff Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 16:59:15 -0400 Subject: [PATCH 051/226] don't give the LLM control over the underlying-llm --- agent/tools/builtin/discussWithMentor.js | 4 ++-- agent/tools/builtin/generateDocumentation.js | 3 ++- agent/tools/builtin/generateLtmNarrative.js | 4 +++- agent/tools/builtin/generateQuantitativeModel.js | 1 - 4 files changed, 7 insertions(+), 5 deletions(-) diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index 72f4218f..fe4ceba5 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -15,9 +15,9 @@ export function createDiscussWithMentorTool(sessionManager, sessionId) { model: SDModelSchema.describe('The model being discussed'), feedbackContent: FeedbackContentSchema.optional(), parameters: z.object({ - model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM') + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), handler: async ({ prompt, model, feedbackContent, parameters }) => { diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js index 5aa1577b..b57a58c7 100644 --- a/agent/tools/builtin/generateDocumentation.js +++ b/agent/tools/builtin/generateDocumentation.js @@ -15,7 +15,8 @@ export function createGenerateDocumentationTool(sessionManager, sessionId, sendT inputSchema: z.object({ model: SDModelSchema.describe('The model to document'), parameters: z.object({ - model: z.string().optional() + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM') }).optional() }), handler: async ({ model, parameters }) => { diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 1a4acb90..fbdc97de 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -14,7 +14,9 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { model: SDModelSchema.describe('The model to analyze'), feedbackContent: FeedbackContentSchema, parameters: z.object({ - model: z.string().optional() + problemStatement: z.string().optional().describe('Description of dynamic issue to address'), + backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), handler: async ({ model, feedbackContent, parameters }) => { diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index d3955eed..c8f1102a 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -16,7 +16,6 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s prompt: z.string().describe('Description of the model to generate'), currentModel: SDModelSchema.optional().describe('Existing model to build upon'), parameters: z.object({ - model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), supportsArrays: z.boolean().optional().describe('Whether client supports arrayed models'), From 40e15a17df63feb2a7dedb0b9d9bbbf40d1f6ebb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 16:59:45 -0400 Subject: [PATCH 052/226] always preserve conversation context on switching agents --- agent/websocket.js | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/agent/websocket.js b/agent/websocket.js index 29881bf3..e9c62afb 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -313,9 +313,7 @@ export function handleWebSocketConnection(ws, sessionManager) { const isSwitching = orchestrator !== null; // Snapshot context before replacing orchestrator so first chat can bridge modes - previousAgentContext = isSwitching - ? sessionManager.getConversationContext(sessionId) - : null; + previousAgentContext = sessionManager.getConversationContext(sessionId); // Create new agent orchestrator (replaces existing if switching) orchestrator = new AgentOrchestrator( From ae5f14f4877517a08aa167ec1d76f8b5026071c3 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 17:04:18 -0400 Subject: [PATCH 053/226] dont change the underlying-llm --- agent/tools/builtin/discussModelAcrossRuns.js | 1 - 1 file changed, 1 deletion(-) diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index 66af6962..9026bc46 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -16,7 +16,6 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send runName: z.string().optional().describe('Simulation run ID for context'), feedbackContent: z.union([FeedbackContentSchema, z.record(z.string(), FeedbackContentSchema)]).optional().describe('Feedback content: either a single FeedbackContentSchema or a map of runId to FeedbackContentSchema'), parameters: z.object({ - model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), behaviorContent: z.string().optional().describe('Time series behavior data') From bfcfc977eaac8f9bddec49ac2cd12d71851e6511 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 17:17:51 -0400 Subject: [PATCH 054/226] tweak prior context tuning --- agent/AgentOrchestrator.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 808def7a..a9b07511 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -838,7 +838,7 @@ export class AgentOrchestrator { * Used when injecting prior agent context into an SDK session. */ async buildPriorContextText(history) { - const PRIOR_CONTEXT_TOKEN_LIMIT = 4000; + const PRIOR_CONTEXT_TOKEN_LIMIT = 10_000; const tokenCount = countTokens(JSON.stringify(history)); if (tokenCount > PRIOR_CONTEXT_TOKEN_LIMIT) { @@ -859,7 +859,7 @@ export class AgentOrchestrator { const response = await this.anthropic.messages.create({ model: config.agentSummaryModel, - max_tokens: 1024, + max_tokens: 2048, messages: [{ role: 'user', content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` From edeb5ee0e9d33e3e3da9876b5d0d8b72dc804a0f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 24 Apr 2026 17:25:02 -0400 Subject: [PATCH 055/226] fixed current message replay bug and removed more agent control over llm --- agent/AgentOrchestrator.js | 14 ++++++++++---- agent/tools/builtin/discussModelWithSeldon.js | 1 - agent/tools/builtin/generateQualitativeModel.js | 1 - 3 files changed, 10 insertions(+), 6 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index a9b07511..357e1523 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -76,7 +76,10 @@ export class AgentOrchestrator { await this.startConversationWithSDK(userMessage, previousAgentContext); } else { if (previousAgentContext?.length > 0) { - logger.debug(`[Agent switch → manual] Replaying ${previousAgentContext.length} messages from prior agent:`, JSON.stringify(previousAgentContext, null, 2)); + // previousAgentContext is a reference to the live context — pop the last message + // (always the prior agent's unanswered user message) before adding the new one + previousAgentContext.pop(); + logger.debug(`[Agent switch → manual] Prior context now has ${previousAgentContext.length} messages after pop`); } await this.startConversationManual(userMessage); } @@ -246,9 +249,12 @@ export class AgentOrchestrator { // Build prompt - inject prior agent's history as plain string prefix on agent switch let prompt = userMessage; if (previousAgentContext?.length > 0 && !this.sdkSessionId) { - logger.debug(`[Agent switch → SDK] Replaying ${previousAgentContext.length} messages from prior agent:`, JSON.stringify(previousAgentContext, null, 2)); - const contextText = await this.buildPriorContextText(previousAgentContext); - prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; + const contextToReplay = previousAgentContext.slice(0, -1); + if (contextToReplay.length > 0) { + logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent:`, JSON.stringify(contextToReplay, null, 2)); + const contextText = await this.buildPriorContextText(contextToReplay); + prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; + } } // Create query iterator with Agent SDK diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 60614c0a..05d44e88 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -15,7 +15,6 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send model: SDModelSchema.describe('The model to discuss'), feedbackContent: FeedbackContentSchema.optional(), parameters: z.object({ - model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), behaviorContent: z.string().optional().describe('Time series behavior data') diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index 9f9c2136..1e23823d 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -16,7 +16,6 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se prompt: z.string().describe('Description of the model to generate'), currentModel: SDModelSchema.optional().describe('Existing model to build upon'), parameters: z.object({ - model: z.string().optional(), problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM') }).optional() From 9c134590295dd077157c2d392bf36d3ef825e957 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 06:45:49 -0400 Subject: [PATCH 056/226] make visualization engine have seperate install script --- third-party/visualization-engine/install.sh | 26 +++++++++++++++++++ .../visualization-engine/requirements.txt | 4 +++ 2 files changed, 30 insertions(+) create mode 100755 third-party/visualization-engine/install.sh create mode 100644 third-party/visualization-engine/requirements.txt diff --git a/third-party/visualization-engine/install.sh b/third-party/visualization-engine/install.sh new file mode 100755 index 00000000..863ddf45 --- /dev/null +++ b/third-party/visualization-engine/install.sh @@ -0,0 +1,26 @@ +#!/bin/bash + +# Install script for visualization-engine +# Installs Python dependencies required by VisualizationEngine.js (matplotlib, numpy) + +set -e + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" + +echo "Installing visualization-engine dependencies..." + +if command -v python3 &> /dev/null; then + PYTHON_CMD="python3" +elif command -v python &> /dev/null; then + PYTHON_CMD="python" +else + echo "Error: Python not found. Please install Python 3 to use the visualization engine." + exit 1 +fi + +echo "Using Python: $PYTHON_CMD" + +cd "$SCRIPT_DIR" +$PYTHON_CMD -m pip install -r requirements.txt + +echo "Successfully installed visualization-engine dependencies" diff --git a/third-party/visualization-engine/requirements.txt b/third-party/visualization-engine/requirements.txt new file mode 100644 index 00000000..180ac118 --- /dev/null +++ b/third-party/visualization-engine/requirements.txt @@ -0,0 +1,4 @@ +matplotlib>=3.4.0 +numpy>=1.20.0 +pandas>=1.3.0 +scipy>=1.7.0 From 9238acb30f525eef741573ebe88fa274ccc36281 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 08:07:03 -0400 Subject: [PATCH 057/226] clean-up client tools -- get them passed to agent-sdk --- agent/AgentOrchestrator.js | 17 +++------- agent/README.md | 14 +++++++- agent/tools/DynamicToolProvider.js | 52 +++--------------------------- 3 files changed, 22 insertions(+), 61 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 357e1523..ac539919 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -188,8 +188,10 @@ export class AgentOrchestrator { builtin: this.builtInToolProvider.getMcpServer() }; - // Get client MCP server + // Get client MCP server and derive allowed tool names from the same source const clientMcpServer = this.dynamicToolProvider.getMcpServer(); + const clientToolNames = this.dynamicToolProvider.getToolNames(); // client_* prefixed, used for system prompt + const prefixedClientToolNames = clientToolNames.map(name => `mcp__client__${name.replace(/^client_/, '')}`); if (clientMcpServer) { mcpServers.client = clientMcpServer; } @@ -207,20 +209,11 @@ export class AgentOrchestrator { .map(name => `mcp__builtin__${name}`); let allowedTools = [ ...builtInSdkTools, // SDK filesystem tools (no prefix) - ...builtInToolNames // Built-in tools with mcp__builtin__ prefix + ...builtInToolNames, // Built-in tools with mcp__builtin__ prefix + ...prefixedClientToolNames // Client tools with mcp__client__ prefix ]; logger.debug("Allowed tools are: " + allowedTools.join(', ')); - - // Add client tools if any - const clientToolNames = this.dynamicToolProvider.getToolNames(); - if (clientToolNames.length > 0) { - // Remove 'client_' prefix and add 'mcp__client__' prefix - const prefixedClientTools = clientToolNames.map(name => - `mcp__client__${name.replace(/^client_/, '')}` - ); - allowedTools.push(...prefixedClientTools); - } // Prefix tool names in system prompt systemPrompt = this.prefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); diff --git a/agent/README.md b/agent/README.md index 30d4fe2b..dfe61375 100644 --- a/agent/README.md +++ b/agent/README.md @@ -609,7 +609,19 @@ Core model operations (`get_current_model`, `update_model`, `run_model`, `get_ru // Parameter definitions }, required?: string[] - } + }, + timeout?: number // Milliseconds to wait for client response (default: 30000) +} +``` + +The `timeout` field controls how long the server waits for the client's `tool_call_response` before failing with a timeout error. Use a longer value for tools that trigger slow operations (e.g., a long-running export or analysis): + +```json +{ + "name": "run_heavy_export", + "description": "Exports the full model to an external system", + "inputSchema": { "type": "object", "properties": {} }, + "timeout": 120000 } ``` diff --git a/agent/tools/DynamicToolProvider.js b/agent/tools/DynamicToolProvider.js index 6bff1247..835e0450 100644 --- a/agent/tools/DynamicToolProvider.js +++ b/agent/tools/DynamicToolProvider.js @@ -56,15 +56,9 @@ export class DynamicToolProvider { try { // Use unprefixed name when communicating with client const clientToolName = toolDef.name; + const timeout = toolDef.timeout; + return await this.requestClientExecution(clientToolName, args, timeout); - // Special handling for specific tools - if (clientToolName === 'get_current_model') { - return await this.handleGetCurrentModel(args); - } else if (clientToolName === 'update_model') { - return await this.handleUpdateModel(args); - } else { - return await this.requestClientExecution(clientToolName, args); - } } catch (error) { logger.error(`Error executing client tool ${toolDef.name}:`, error); return { @@ -75,49 +69,11 @@ export class DynamicToolProvider { }; } - /** - * Handle get_current_model (returns and caches model) - */ - async handleGetCurrentModel(args) { - const result = await this.requestClientExecution('get_current_model', args); - - // Update session with latest model - if (result.model) { - this.sessionManager.updateClientModel(this.sessionId, result.model); - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(result, null, 2) - }] - }; - } - - /** - * Handle update_model (sets/updates the model and caches it) - * Note: No distinction between creating and updating - always returns the full model - */ - async handleUpdateModel(args) { - const result = await this.requestClientExecution('update_model', args); - - // Update session with the new model state - if (result.model) { - this.sessionManager.updateClientModel(this.sessionId, result.model); - } - - return { - content: [{ - type: 'text', - text: JSON.stringify(result, null, 2) - }] - }; - } - /** * Request client to execute a tool */ - async requestClientExecution(toolName, args, timeout = 30000) { + async requestClientExecution(toolName, args, timeout) { + timeout = timeout ?? 30000; const callId = this.generateCallId(); // Create pending call that will be resolved when client responds From bcde0c0c02730f30e8df27eee0016815fcde1169 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 15:28:33 -0400 Subject: [PATCH 058/226] Got Stella client tools working --- agent/README.md | 45 +++-- agent/config/ganos-lal.md | 164 +++++++++++++++++- agent/config/myrddin.md | 154 +++++++++++++++- agent/tools/DynamicToolProvider.js | 9 +- agent/tools/builtin/clientInteractionTools.js | 24 +-- agent/utilities/MessageProtocol.js | 22 +++ utilities/StructuredOutputToZodConverter.js | 27 +++ 7 files changed, 418 insertions(+), 27 deletions(-) diff --git a/agent/README.md b/agent/README.md index dfe61375..a1d32d10 100644 --- a/agent/README.md +++ b/agent/README.md @@ -428,30 +428,47 @@ Requests the client to execute a model interaction and return results via `tool_ ```json { "runs": [ - { "id": "run_abc123", "name": "Baseline" }, + { + "id": "run_abc123", + "name": "Baseline", + "isExternal": false, + "variables": ["Population", "Births", "Deaths"] + }, { "id": "run_def456", "name": "Policy" } ] } ``` +Each run object: +- `id` — required, unique run identifier +- `name` — required, display name +- `isExternal` — optional boolean, whether the run originated outside the current model +- `variables` — optional array of variable names available in this run + **`get_variable_data`** — return time-series data for requested variables and runs ```json { - "variableData": { - "run_abc123": { - "Population": [ - { "time": 0, "value": 1000 }, - { "time": 1, "value": 1020 } - ], - "Births": [ - { "time": 0, "value": 20 }, - { "time": 1, "value": 20.4 } - ] + "run_abc123": { + "Population": { + "time": [0, 1, 2], + "values": [1000, 1020, 1040] + }, + "Births": { + "time": [0, 1, 2], + "values": [20, 20.4, 20.8] + } + }, + "run_def456": { + "Population": { + "time": [0, 1, 2], + "values": [1000, 980, 961] } } } ``` +The response is keyed by run ID, then by variable name. Each variable entry has parallel `time` and `values` arrays. + For **custom registered tools**, the `toolName` will match a name from the `tools` array provided in `initialize_session`, and `result` can be any JSON value meaningful to the agent. #### 7. Tool Call Completed @@ -557,7 +574,7 @@ Requests time-series data for specific variables from specific runs. - `detailed: true` returns more data points suitable for plotting; `false` returns a sampled summary -**Client response** — send `tool_call_response` with `callId` set to the `requestId` and the `variableData` shape shown in §6 above. +**Client response** — send `tool_call_response` with `callId` set to the `requestId` and the `result` in the `get_variable_data` shape shown in §6 above (keyed by run ID → variable name → `{ time, values }`). #### 11. Agent Complete @@ -814,10 +831,12 @@ function handleToolCallRequest(message) { result = { runId: runSimulation() }; break; case 'get_run_info': + // runs: [{ id, name, isExternal?, variables? }, ...] result = { runs: getAllRuns() }; break; case 'get_variable_data': - result = { variableData: getVariableData(message.arguments) }; + // { [runId]: { [varName]: { times: number[], values: number[] } } } + result = getVariableData(message.arguments); break; default: // Custom registered tool diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index 9a9e9c83..54ac77f6 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -271,4 +271,166 @@ Focus on educational validation: - If the user requests a more complex model, you are allowed to build it — iterate with the user to accomplish this incrementally - All variables must have documentation - All variables must have units -- All equations must be validated \ No newline at end of file +- All equations must be validated + + +## Client-Specific Tools *(sfd only)* + +These tools are available when connected to a Stella client. They enable calibration, optimization, and sensitivity analysis directly within the modeling environment. Use them to help users understand how their model relates to real data and how uncertain parameters affect behavior. + +### Tool Reference + +#### Calibration & Payoff Tools + +**`load_calibration_data`** +Prompts the user to select an external data file and loads it as a calibration run. +- `requestedVariables` (array of strings, optional) — variables to suggest in the load dialog +- Returns: `{ runId, runName, variables }` where `variables` lists every variable in the loaded file +- **CRITICAL:** Always call this before creating a new calibration payoff. Store the returned `runId` and inspect `variables` — use those as the payoff elements, not guesses about what should be there. + +**`create_payoff`** +Defines what the optimization should target. +- `name` (string, required) +- `isCalibration` (boolean) — true for calibration; weights are computed automatically +- `calibrationRunId` (integer) — the `runId` returned by `load_calibration_data`; required when `isCalibration` is true +- `elements` (array of `{ variableName, weight? }`) — for calibration payoffs, use the `variables` returned by `load_calibration_data` +- Returns: `{ status: "created", payoffIndex }` + +**`edit_payoff`** +Modifies an existing payoff. Requires `payoffIndex` (integer); all other fields optional. +Returns: `{ status: "updated", payoffIndex }` + +**`list_payoffs`** +Lists all defined payoffs with their elements and calibration references. No parameters. + +#### Optimization Tools + +**`create_optimization`** +Creates a Powell optimization. +- `name` (string, required) +- `parameters` (array of `{ variableName, min?, max?, stepMult? }`) — variables to search over +- `payoff` (`{ payoffName, action }`) — `action` is `"maximize"`, `"minimize"`, `"lt"`, or `"lte"`; calibration payoffs should use `"minimize"` +- `initialStep` (number, default 1.0) — expected magnitude of parameter change toward the optimum +- `numSims` (integer, default 5000) — max simulations; use -1 for no limit +- `sensitivityAnalysis` (string, optional) — name of a sensitivity analysis to optimize over +- `worstCase` (boolean, optional) — when using a sensitivity analysis, optimize for the worst case +- Returns: `{ status: "created", optimizationIndex }` + +**`edit_optimization`** +Modifies an existing optimization. Requires `optimizationIndex` (integer); all other fields optional. +Returns: `{ status: "updated", optimizationIndex }` + +**`list_optimization_analyses`** +Lists all defined optimizations. No parameters. Returns `{ optimizations: [...], activeIndex }`. + +**`run_optimization`** +Runs an optimization. This can take a long time (minutes to hours). +- `optimizationIndex` (integer, optional) — use -1 or omit for the currently active one +- Returns: `{ status: "completed" }` + +#### Sensitivity Analysis Tools + +**`create_sensitivity_analysis`** +Creates a sensitivity analysis to explore how parameter uncertainty affects model outputs. +- `name` (string, required) +- `method` (enum: `"sobolSequence"` [default], `"latinHypercube"`, `"grid"`) +- `numRuns` (integer) — number of simulation runs to execute +- `variables` (array) — parameters to vary; each object requires `variableName` and `distribution`, plus distribution-specific parameters: + - `uniform`: `min`, `max` + - `incremental`: `min` (start), `max` (end) — linearly stepped + - `normal` / `logNormal`: `mean`, `stdDev`, optional `min`/`max` truncation + - `beta`: `alpha`, `beta`, optional `min`/`max` + - `exponential`: `lambda`, optional `min`/`max` + - `gamma` / `pareto` / `weibull`: `shape`, `scale`, optional `min`/`max` + - `logistic`: `mean`, `scale`, optional `min`/`max` + - `triangular`: `lower`, `mode`, `upper` + - `adHoc`: `values` (comma-separated numbers) +- Returns: `{ status: "created", sensitivityIndex }` + +**`edit_sensitivity_analysis`** +Modifies an existing sensitivity analysis. Requires `sensitivityIndex` (integer); all other fields optional. +Returns: `{ status: "updated", sensitivityIndex }` + +**`list_sensitivity_analyses`** +Lists all defined sensitivity analyses. No parameters. Returns `{ sensitivityAnalyses: [...], activeIndex }`. + +**`run_sensitivity`** +Runs a sensitivity analysis. Can take a long time. +- `sensitivityIndex` (integer, optional) — use -1 or omit for the active one +- `variablesToPlot` (array of strings, optional) — key output variables to plot automatically +- Returns: `{ status: "completed" }` + +--- + +### Tool Usage Policies + +#### `load_calibration_data` *(sfd only)* +**When to use:** Always before creating a calibration payoff. Also useful before sensitivity analysis to understand which variables matter. +**Critical:** Store the returned `runId`. Inspect the `variables` array — these are the only variables the user has provided data for. Use them as payoff elements. + +#### `create_payoff` *(sfd only)* +**When to use:** After `load_calibration_data`, to define the optimization target. +**Requires:** `calibrationRunId` from `load_calibration_data` when `isCalibration` is true. +**Elements:** Use the `variables` list from `load_calibration_data`, not assumptions about what should exist. + +#### `edit_payoff` *(sfd only)* +**When to use:** When the user wants to adjust an existing payoff without recreating it. + +#### `list_payoffs` *(sfd only)* +**When to use:** Before creating an optimization, to confirm payoff names and indices. + +#### `create_optimization` *(sfd only)* +**When to use:** After confirming a payoff exists. Discuss which parameters to vary and their reasonable bounds with the user before calling this. +**Calibration:** always use `action: "minimize"` for calibration payoffs. + +#### `edit_optimization` *(sfd only)* +**When to use:** When the user wants to adjust an existing optimization without recreating it. + +#### `list_optimization_analyses` *(sfd only)* +**When to use:** Before running or editing an optimization, to confirm indices. + +#### `run_optimization` *(sfd only)* +**When to use:** After creating and reviewing an optimization. Warn the user this may take a long time. +**After completion:** Always visualize the fit: `run_model` → `get_run_info` → `get_variable_data` (both calibration + simulation run IDs, `detailed: true`) → `create_visualization`. + +#### `create_sensitivity_analysis` *(sfd only)* +**When to use:** When the user wants to understand which parameters most influence outputs, or to characterize uncertainty. +**Best practice:** Review calibration data first (via `load_calibration_data`) to identify which output variables are important. + +#### `edit_sensitivity_analysis` *(sfd only)* +**When to use:** When adjusting an existing sensitivity analysis. + +#### `list_sensitivity_analyses` *(sfd only)* +**When to use:** Before running or editing a sensitivity analysis, to confirm indices. + +#### `run_sensitivity` *(sfd only)* +**When to use:** After creating a sensitivity analysis. Pass `variablesToPlot` with the key output variables. + +--- + +### Action Sequences + +#### On Calibration / Optimization Request +1. Ask the user what data they have and which model variables it corresponds to +2. Ask which parameters they suspect need adjustment and what reasonable bounds might be +3. Call `load_calibration_data` with the relevant variable names — note the returned `runId` and `variables` +4. Discuss with the user which variables from the loaded data to include in the payoff +5. Create a calibration payoff using the `runId` and `variables` from `load_calibration_data`: + `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` +6. Create the optimization with the parameter bounds discussed in step 2: + `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` +7. Warn the user this may take some time, then run: `run_optimization(optimizationIndex: )` +8. After completion, visualize the fit: + - `run_model()` — run with the optimized parameters + - `get_run_info()` — identify the new simulation run ID + - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` + - `create_visualization()` — show both calibration data and simulation output overlaid +9. Ask the user: "How does the fit look? Does this match what you expected the model to do?" + +#### On Sensitivity Analysis Request +1. Ask the user which parameters they want to vary +2. Ask about reasonable ranges or distributions for each parameter +3. Create the sensitivity analysis with appropriate distributions: + `create_sensitivity_analysis(method: "sobolSequence", numRuns: ..., variables: [...])` +4. Run it with key output variables: `run_sensitivity(sensitivityIndex: , variablesToPlot: [...])` +5. Help the user interpret which parameters most strongly influence the outputs, connecting back to feedback loop structure \ No newline at end of file diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 19bd0ff9..92ea6bc5 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -194,4 +194,156 @@ Create analytical visualizations: - feedback_loops: Unlimited - include all relevant feedback structure - All variables must have documentation - All variables must have units -- All equations must be validated \ No newline at end of file +- All equations must be validated + + +## Client-Specific Tools *(sfd only)* + +These tools are available when connected to a Stella client. They expose the optimization, calibration, and sensitivity analysis subsystems directly. + +### Tool Reference + +#### Calibration & Payoff Tools + +**`load_calibration_data`** +Prompts the user to select an external data file and loads it as a calibration run. +- `requestedVariables` (array of strings, optional) — variables to suggest in the load dialog +- Returns: `{ runId, runName, variables }` where `variables` lists every variable in the loaded file +- **CRITICAL:** Always call before creating a new calibration payoff. The returned `runId` is required as `calibrationRunId`, and the `variables` array defines which model variables have data — use exactly those as payoff elements. + +**`create_payoff`** +Defines what the optimization targets. +- `name` (string, required) +- `isCalibration` (boolean) — true for calibration; weights computed automatically +- `calibrationRunId` (integer) — `runId` from `load_calibration_data`; required when `isCalibration` is true +- `elements` (array of `{ variableName, weight? }`) — for calibration payoffs use the `variables` from `load_calibration_data` +- Returns: `{ status: "created", payoffIndex }` + +**`edit_payoff`** +Modifies an existing payoff. Requires `payoffIndex` (integer); all other fields from `create_payoff` are optional. +Returns: `{ status: "updated", payoffIndex }` + +**`list_payoffs`** +Lists all defined payoffs with elements and calibration references. No parameters. + +#### Optimization Tools + +**`create_optimization`** +Creates a Powell optimization. +- `name` (string, required) +- `parameters` (array of `{ variableName, min?, max?, stepMult? }`) — `stepMult` scales the global `initialStep` for this parameter +- `payoff` (`{ payoffName, action }`) — `action`: `"maximize"` | `"minimize"` | `"lt"` | `"lte"`; calibration payoffs use `"minimize"` +- `initialStep` (number, default 1.0) — expected parameter magnitude to reach optimum +- `numSims` (integer, default 5000) — max optimizer evaluations; -1 for unlimited +- `sensitivityAnalysis` (string, optional) — name of a sensitivity analysis to optimize over (each evaluation runs the full analysis) +- `worstCase` (boolean, optional) — when using a sensitivity analysis, optimize for worst case +- Returns: `{ status: "created", optimizationIndex }` + +**`edit_optimization`** +Modifies an existing optimization. Requires `optimizationIndex` (integer); all other fields optional. +Returns: `{ status: "updated", optimizationIndex }` + +**`list_optimization_analyses`** +Lists all defined optimizations. No parameters. Returns `{ optimizations: [...], activeIndex }`. + +**`run_optimization`** +Runs an optimization. Long-running (minutes to hours). +- `optimizationIndex` (integer, optional) — use -1 or omit for the active one +- Returns: `{ status: "completed" }` + +#### Sensitivity Analysis Tools + +**`create_sensitivity_analysis`** +Creates a sensitivity analysis. +- `name` (string, required) +- `method` (enum: `"sobolSequence"` [default], `"latinHypercube"`, `"grid"`) +- `numRuns` (integer) — number of simulation runs +- `variables` (array) — each object requires `variableName` and `distribution`, plus distribution parameters: + - `uniform`: `min`, `max` + - `incremental`: `min` (start), `max` (end) — linear steps + - `normal` / `logNormal`: `mean`, `stdDev`, optional `min`/`max` truncation + - `beta`: `alpha`, `beta`, optional `min`/`max` + - `exponential`: `lambda`, optional `min`/`max` + - `gamma` / `pareto` / `weibull`: `shape`, `scale`, optional `min`/`max` + - `logistic`: `mean`, `scale`, optional `min`/`max` + - `triangular`: `lower`, `mode`, `upper` + - `adHoc`: `values` (comma-separated numbers) +- Returns: `{ status: "created", sensitivityIndex }` + +**`edit_sensitivity_analysis`** +Modifies an existing sensitivity analysis. Requires `sensitivityIndex` (integer); all other fields optional. +Returns: `{ status: "updated", sensitivityIndex }` + +**`list_sensitivity_analyses`** +Lists all defined sensitivity analyses. No parameters. Returns `{ sensitivityAnalyses: [...], activeIndex }`. + +**`run_sensitivity`** +Runs a sensitivity analysis. Long-running (minutes to hours). +- `sensitivityIndex` (integer, optional) — use -1 or omit for the active one +- `variablesToPlot` (array of strings, optional) — output variables to auto-plot +- Returns: `{ status: "completed" }` + +--- + +### Tool Usage Policies + +#### `load_calibration_data` *(sfd only)* +**When to use:** Always before `create_payoff` with `isCalibration: true`. Also useful before sensitivity analysis to identify relevant output variables. +**Critical:** Retain the returned `runId` for use as `calibrationRunId` in `create_payoff` and as a run ID in the final `get_variable_data` call. Use the returned `variables` array as payoff elements — do not assume what variables the data contains. + +#### `create_payoff` *(sfd only)* +**When to use:** After `load_calibration_data`. `calibrationRunId` is required for calibration payoffs. + +#### `edit_payoff` *(sfd only)* +**When to use:** When modifying an existing payoff in place. + +#### `list_payoffs` *(sfd only)* +**When to use:** Before creating an optimization to confirm payoff names. + +#### `create_optimization` *(sfd only)* +**When to use:** After verifying a payoff exists. Set `action: "minimize"` for calibration payoffs. + +#### `edit_optimization` *(sfd only)* +**When to use:** When adjusting an existing optimization without recreating it. + +#### `list_optimization_analyses` *(sfd only)* +**When to use:** Before running or editing an optimization to confirm indices. + +#### `run_optimization` *(sfd only)* +**When to use:** After creating an optimization. Long-running — advise the user accordingly. +**After completion:** `run_model` → `get_run_info` → `get_variable_data` (calibration run ID + simulation run ID, `detailed: true`) → `create_visualization`. + +#### `create_sensitivity_analysis` *(sfd only)* +**When to use:** For parameter uncertainty analysis or to identify high-leverage parameters before optimization. + +#### `edit_sensitivity_analysis` *(sfd only)* +**When to use:** When adjusting an existing sensitivity analysis in place. + +#### `list_sensitivity_analyses` *(sfd only)* +**When to use:** Before running or editing a sensitivity analysis to confirm indices. + +#### `run_sensitivity` *(sfd only)* +**When to use:** After creating a sensitivity analysis. Always pass `variablesToPlot` with the key output variables. + +--- + +### Action Sequences + +#### On Calibration / Optimization Request +1. Call `load_calibration_data` with the model variables the data is expected to contain +2. Note the returned `runId` (needed for payoff and for the final fit plot) and `variables` (use these as payoff elements) +3. Create a calibration payoff: `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` +4. Create the optimization with parameter bounds and `action: "minimize"`: + `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` +5. Run: `run_optimization(optimizationIndex: )` +6. After completion, visualize the fit: + - `run_model()` — execute with optimized parameters + - `get_run_info()` — identify the new simulation run ID + - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` + - `create_visualization()` — overlay calibration data and simulation output + +#### On Sensitivity Analysis Request +1. Create the analysis with appropriate distributions and sample size: + `create_sensitivity_analysis(method: "sobolSequence", numRuns: ..., variables: [...])` +2. Run with key outputs: `run_sensitivity(sensitivityIndex: , variablesToPlot: [...])` +3. Analyze which parameters drive variance in the outputs \ No newline at end of file diff --git a/agent/tools/DynamicToolProvider.js b/agent/tools/DynamicToolProvider.js index 835e0450..e4303c67 100644 --- a/agent/tools/DynamicToolProvider.js +++ b/agent/tools/DynamicToolProvider.js @@ -37,7 +37,8 @@ export class DynamicToolProvider { tools[toolName] = { description: toolDef.description, inputSchema: this.schemaConverter.convert(toolDef.inputSchema), - handler: this.createToolHandler(toolDef) + handler: this.createToolHandler(toolDef), + timeout: toolDef.timeout ?? 30000 }; } @@ -104,7 +105,11 @@ export class DynamicToolProvider { try { const result = await Promise.race([resultPromise, timeoutPromise]); - return result; + const text = typeof result === 'string' ? result : JSON.stringify(result, null, 2); + return { + content: [{ type: 'text', text}], + isError: false + }; } catch (error) { // Clean up pending call const pendingCall = this.sessionManager.getPendingToolCall(this.sessionId, callId); diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index 508d204d..fb387ed8 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -4,7 +4,11 @@ import { createUpdateModelMessage, createRunModelMessage, createGetRunInfoMessage, - createGetVariableDataMessage + createGetVariableDataMessage, + GetCurrentModelResponseSchema, + UpdateModelResponseSchema, + RunModelResponseSchema, + GetRunInfoResponseSchema } from '../../utilities/MessageProtocol.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -41,8 +45,9 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien }); const modelData = await resultPromise; + const parsed = GetCurrentModelResponseSchema.parse(modelData); - return createSuccessResponse(modelData); + return createSuccessResponse(parsed); } catch (error) { return createErrorResponse(`Failed to get current model: ${error.message}`, error); } @@ -85,8 +90,9 @@ export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { }); const result = await resultPromise; + const parsed = UpdateModelResponseSchema.parse(result); - return createSuccessResponse({ success: true, ...result }); + return createSuccessResponse({ success: true, ...parsed }); } catch (error) { return createErrorResponse(`Failed to update model: ${error.message}`, error); } @@ -127,12 +133,9 @@ export function createRunModelTool(sessionManager, sessionId, sendToClient) { }); const result = await resultPromise; + const parsed = RunModelResponseSchema.parse(result); - return createSuccessResponse({ - runId: result.runId, - success: true, - ...result - }); + return createSuccessResponse({ success: true, ...parsed }); } catch (error) { return createErrorResponse(`Failed to run model: ${error.message}`, error); } @@ -173,10 +176,11 @@ export function createGetRunInfoTool(sessionManager, sessionId, sendToClient) { }); const runInfo = await resultPromise; + const parsed = GetRunInfoResponseSchema.parse({ runs: runInfo.runs || [] }); return createSuccessResponse({ - runs: runInfo.runs || [], - count: runInfo.runs?.length || 0 + runs: parsed.runs, + count: parsed.runs.length }); } catch (error) { return createErrorResponse(`Failed to get run info: ${error.message}`, error); diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 7ce195db..80a273c3 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -1,3 +1,4 @@ +import { timeout } from 'async'; import { z } from 'zod'; /** @@ -49,6 +50,17 @@ export const FeedbackContentSchema = z.object({ })).optional() }).describe('Feedback loop analysis data'); +const RunSchema = z.object({ + id: z.any().describe('Unique identifier for the run'), + name: z.string().describe('Display name for the run'), + isExternal: z.boolean().optional().describe('Whether the run is from an external source'), + variables: z.array(z.string()).optional().describe('Names of variables available in this run') +}).catchall(z.any()); + +export const GetRunInfoResponseSchema = z.object({ + runs: z.array(RunSchema).describe('List of simulation runs') +}).catchall(z.any()); + export const SDModelSchema = z.object({ variables: z.array(SDVariableSchema).optional(), relationships: z.array(SDRelationshipSchema).optional(), @@ -59,6 +71,15 @@ export const SDModelSchema = z.object({ title: z.string().optional() }).catchall(z.any()).describe('SD-JSON model structure (CLD or SFD)'); +export const GetCurrentModelResponseSchema = SDModelSchema; + +export const UpdateModelResponseSchema = z.object({}).catchall(z.any()) + .describe('Response from the client after updating the model'); + +export const RunModelResponseSchema = z.object({ + runId: z.any().describe('ID of the completed simulation run') +}).catchall(z.any()).describe('Response from the client after running the model'); + // ============================================================================ // CLIENT → SERVER MESSAGES // ============================================================================ @@ -66,6 +87,7 @@ export const SDModelSchema = z.object({ const ToolDefinitionSchema = z.object({ name: z.string().describe('Unique name identifier for the tool'), description: z.string().describe('Human-readable description of what the tool does'), + timeout: z.number().optional().describe('The number of miliseconds to wait for this tool to execute'), inputSchema: z.object({ type: z.literal('object').describe('Schema type, must be "object"'), properties: z.record(z.string(), z.any()).describe('Map of parameter names to their schema definitions'), diff --git a/utilities/StructuredOutputToZodConverter.js b/utilities/StructuredOutputToZodConverter.js index 760c079d..e1dc775a 100644 --- a/utilities/StructuredOutputToZodConverter.js +++ b/utilities/StructuredOutputToZodConverter.js @@ -66,6 +66,31 @@ export class StructuredOutputToZodConverter { * @returns {import('zod').ZodTypeAny} Zod type */ convertTypeToZod(propDef) { + // Handle anyOf / oneOf as union + if (propDef.anyOf || propDef.oneOf) { + const items = propDef.anyOf || propDef.oneOf; + const nullItems = items.filter(v => v.type === 'null'); + const nonNullItems = items.filter(v => v.type !== 'null'); + if (nonNullItems.length === 0) return z.null(); + const variants = nonNullItems.map(v => this.convertTypeToZod(v)); + let base = variants.length === 1 ? variants[0] : z.union(variants); + return nullItems.length > 0 ? base.nullable() : base; + } + + // No type field — infer from shape + if (propDef.type === undefined) { + if (propDef.properties || propDef.additionalProperties) { + return this.convertNestedObject(propDef); + } + if (propDef.items) { + return this.convertArrayType(propDef); + } + if (propDef.enum) { + return this.convertStringType(propDef); + } + return z.any(); + } + switch (propDef.type) { case 'string': return this.convertStringType(propDef); @@ -75,6 +100,8 @@ export class StructuredOutputToZodConverter { return z.number().int(); case 'boolean': return z.boolean(); + case 'null': + return z.null(); case 'array': return this.convertArrayType(propDef); case 'object': From 443927a027156b2dd7ef9805fceb3d8a373e85b7 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 21:24:37 -0400 Subject: [PATCH 059/226] fix agent configs to stop needlessly calling load_calibration_data and run_simulation --- agent/config/ganos-lal.md | 43 +++++++++++++++++++++++---------------- agent/config/myrddin.md | 27 +++++++++++++++--------- 2 files changed, 43 insertions(+), 27 deletions(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index 54ac77f6..efe6cdbf 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -153,8 +153,8 @@ Focus on educational validation: **Auto-suggest** this tool when appropriate ### get_run_info *(sfd only)* -**When to use:** After running a simulation, to get the list of available run IDs -**Frequency:** Before calling `get_variable_data` to retrieve data for visualization +**When to use:** Both before and after simulations. Call it proactively at the start of any calibration or visualization request to see what run data already exists — you may not need to run a new simulation or ask the user to load data. +**Frequency:** Before calling `get_variable_data` to retrieve data for visualization; also before `load_calibration_data` to check if calibration data is already present ### get_variable_data *(sfd only)* **When to use:** After `get_run_info`, to fetch time-series data for specific variables @@ -221,12 +221,20 @@ Focus on educational validation: 7. Create visualization to show how changes affected behavior (create_visualization) 8. Help user understand how their changes affected the model -### On Simulation Request -1. Run the simulation (run_model, get_variable_data) -2. Create a simple visualization (create_visualization) -3. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) -4. Ask questions to help user understand causal mechanisms and feedback dynamics -5. Help user connect behavior patterns to feedback loop dominance +### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) +1. Call `get_run_info` to check whether existing run data is available +2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — no need to run the model +3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` +4. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) +5. Ask questions to help user understand causal mechanisms and feedback dynamics + +### On Simulation Request (user explicitly asks to run, or model was just modified) +1. Run the simulation (run_model) +2. Call `get_variable_data` to retrieve the data +3. Create a simple visualization (create_visualization) +4. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) +5. Ask questions to help user understand causal mechanisms and feedback dynamics +6. Help user connect behavior patterns to feedback loop dominance ## Communication Style **Style:** direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance. @@ -365,7 +373,7 @@ Runs a sensitivity analysis. Can take a long time. ### Tool Usage Policies #### `load_calibration_data` *(sfd only)* -**When to use:** Always before creating a calibration payoff. Also useful before sensitivity analysis to understand which variables matter. +**When to use:** Only when `get_run_info` confirms no calibration data is already loaded. Do not prompt the user to load a file if the data is already present. **Critical:** Store the returned `runId`. Inspect the `variables` array — these are the only variables the user has provided data for. Use them as payoff elements. #### `create_payoff` *(sfd only)* @@ -411,21 +419,22 @@ Runs a sensitivity analysis. Can take a long time. ### Action Sequences #### On Calibration / Optimization Request -1. Ask the user what data they have and which model variables it corresponds to -2. Ask which parameters they suspect need adjustment and what reasonable bounds might be -3. Call `load_calibration_data` with the relevant variable names — note the returned `runId` and `variables` +1. Call `get_run_info` to check whether calibration data is already loaded — if a calibration run already exists, use it instead of asking the user to load new data +2. If no calibration data is present, ask the user what data they have and which model variables it corresponds to, then call `load_calibration_data` with the relevant variable names — note the returned `runId` and `variables` +3. (If data was already loaded in step 1, note its `runId` and proceed from step 4) 4. Discuss with the user which variables from the loaded data to include in the payoff -5. Create a calibration payoff using the `runId` and `variables` from `load_calibration_data`: +5. Ask which parameters they suspect need adjustment and what reasonable bounds might be +6. Create a calibration payoff using the `runId` and `variables`: `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` -6. Create the optimization with the parameter bounds discussed in step 2: +7. Create the optimization with the parameter bounds discussed in step 5: `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` -7. Warn the user this may take some time, then run: `run_optimization(optimizationIndex: )` -8. After completion, visualize the fit: +8. Warn the user this may take some time, then run: `run_optimization(optimizationIndex: )` +9. After completion, visualize the fit: - `run_model()` — run with the optimized parameters - `get_run_info()` — identify the new simulation run ID - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` - `create_visualization()` — show both calibration data and simulation output overlaid -9. Ask the user: "How does the fit look? Does this match what you expected the model to do?" +10. Ask the user: "How does the fit look? Does this match what you expected the model to do?" #### On Sensitivity Analysis Request 1. Ask the user which parameters they want to vary diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index 92ea6bc5..ffbf3cb6 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -93,8 +93,8 @@ Create analytical visualizations: **Auto-suggest** this tool when appropriate ### get_run_info *(sfd only)* -**When to use:** After running a simulation, to get the list of available run IDs -**Frequency:** Before calling `get_variable_data` to retrieve data for visualization +**When to use:** Both before and after simulations. Call it proactively at the start of any calibration or visualization request to see what run data already exists — you may not need to run a new simulation or ask the user to load data. +**Frequency:** Before calling `get_variable_data`; also before `load_calibration_data` to check whether calibration data is already present ### get_variable_data *(sfd only)* **When to use:** After `get_run_info`, to fetch time-series data for specific variables @@ -148,7 +148,13 @@ Create analytical visualizations: 4. Verify changes maintain structural and dimensional consistency (get_current_model) 5. Suggest specific tests to validate modifications -### On Simulation Request +### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) +1. Call `get_run_info` to check whether existing run data is available +2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — do not run the model +3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` +4. Use Seldon to analyze behavior (discuss_model_with_seldon) + +### On Simulation Request (user explicitly asks to run, or model was just modified) 1. Check all parameters defined, equations valid, units consistent 2. Run the simulation (run_model) 3. Create an analytical visualization (create_visualization) @@ -288,7 +294,7 @@ Runs a sensitivity analysis. Long-running (minutes to hours). ### Tool Usage Policies #### `load_calibration_data` *(sfd only)* -**When to use:** Always before `create_payoff` with `isCalibration: true`. Also useful before sensitivity analysis to identify relevant output variables. +**When to use:** Before `create_payoff` with `isCalibration: true`. Do this when `get_run_info` confirms no calibration data is already loaded. Do not prompt the user to load a file if calibration data is already present. **Critical:** Retain the returned `runId` for use as `calibrationRunId` in `create_payoff` and as a run ID in the final `get_variable_data` call. Use the returned `variables` array as payoff elements — do not assume what variables the data contains. #### `create_payoff` *(sfd only)* @@ -330,13 +336,14 @@ Runs a sensitivity analysis. Long-running (minutes to hours). ### Action Sequences #### On Calibration / Optimization Request -1. Call `load_calibration_data` with the model variables the data is expected to contain -2. Note the returned `runId` (needed for payoff and for the final fit plot) and `variables` (use these as payoff elements) -3. Create a calibration payoff: `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` -4. Create the optimization with parameter bounds and `action: "minimize"`: +1. Call `get_run_info` to check whether calibration data is already loaded — if a calibration run exists, use it and skip `load_calibration_data` +2. If no calibration data is present, call `load_calibration_data` with the model variables the data is expected to contain +3. Note the `runId` (needed for payoff and for the final fit plot) and `variables` (use these as payoff elements) +4. Create a calibration payoff: `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` +5. Create the optimization with parameter bounds and `action: "minimize"`: `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` -5. Run: `run_optimization(optimizationIndex: )` -6. After completion, visualize the fit: +6. Run: `run_optimization(optimizationIndex: )` +7. After completion, visualize the fit: - `run_model()` — execute with optimized parameters - `get_run_info()` — identify the new simulation run ID - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` From e8483fd518db55aefa5a27d49d466cdc998df4b2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 21:29:28 -0400 Subject: [PATCH 060/226] install python dependences for the user, not the system, will stop errors on linux --- third-party/PySD-simulator/install.sh | 2 +- third-party/causal-decoder/install.sh | 2 +- third-party/time-series-behavior-analysis/install.sh | 2 +- third-party/visualization-engine/install.sh | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/third-party/PySD-simulator/install.sh b/third-party/PySD-simulator/install.sh index 1c1d1d2d..fc281665 100755 --- a/third-party/PySD-simulator/install.sh +++ b/third-party/PySD-simulator/install.sh @@ -23,6 +23,6 @@ echo "Using Python: $PYTHON_CMD" # Install dependencies cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install -r requirements.txt +$PYTHON_CMD -m pip install --user -r requirements.txt echo "Successfully installed PySD simulator dependencies" diff --git a/third-party/causal-decoder/install.sh b/third-party/causal-decoder/install.sh index e83117d3..60e9a46a 100755 --- a/third-party/causal-decoder/install.sh +++ b/third-party/causal-decoder/install.sh @@ -23,6 +23,6 @@ echo "Using Python: $PYTHON_CMD" # Install dependencies cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install -r requirements.txt +$PYTHON_CMD -m pip install --user -r requirements.txt echo "Successfully installed causal-decoder dependencies" diff --git a/third-party/time-series-behavior-analysis/install.sh b/third-party/time-series-behavior-analysis/install.sh index db7fd872..471be462 100755 --- a/third-party/time-series-behavior-analysis/install.sh +++ b/third-party/time-series-behavior-analysis/install.sh @@ -23,6 +23,6 @@ echo "Using Python: $PYTHON_CMD" # Install dependencies cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install -r requirements.txt +$PYTHON_CMD -m pip install --user -r requirements.txt echo "Successfully installed time-series-behavior-analysis dependencies" diff --git a/third-party/visualization-engine/install.sh b/third-party/visualization-engine/install.sh index 863ddf45..95d096be 100755 --- a/third-party/visualization-engine/install.sh +++ b/third-party/visualization-engine/install.sh @@ -21,6 +21,6 @@ fi echo "Using Python: $PYTHON_CMD" cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install -r requirements.txt +$PYTHON_CMD -m pip install --user -r requirements.txt echo "Successfully installed visualization-engine dependencies" From 0a0ef19446c92495bf3f15221e182aed6281047e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 21:32:09 -0400 Subject: [PATCH 061/226] windows third party installation system --- package.json | 2 +- third-party/PySD-simulator/install.bat | 27 ++++++++++++ third-party/causal-chains/install.bat | 19 +++++++++ third-party/causal-decoder/install.bat | 27 ++++++++++++ third-party/install.bat | 42 +++++++++++++++++++ third-party/install.js | 11 +++++ .../time-series-behavior-analysis/install.bat | 27 ++++++++++++ third-party/visualization-engine/install.bat | 27 ++++++++++++ 8 files changed, 181 insertions(+), 1 deletion(-) create mode 100644 third-party/PySD-simulator/install.bat create mode 100644 third-party/causal-chains/install.bat create mode 100644 third-party/causal-decoder/install.bat create mode 100644 third-party/install.bat create mode 100644 third-party/install.js create mode 100644 third-party/time-series-behavior-analysis/install.bat create mode 100644 third-party/visualization-engine/install.bat diff --git a/package.json b/package.json index c034b3dd..1275ba6f 100644 --- a/package.json +++ b/package.json @@ -21,7 +21,7 @@ "zod": "^4.0.0" }, "scripts": { - "postinstall": "bash third-party/install.sh", + "postinstall": "node third-party/install.js", "start": "nodemon --env-file=.env app.js", "evals": "node evals/run.js", "test": "NODE_OPTIONS=\"--experimental-vm-modules\" jest", diff --git a/third-party/PySD-simulator/install.bat b/third-party/PySD-simulator/install.bat new file mode 100644 index 00000000..181c1db8 --- /dev/null +++ b/third-party/PySD-simulator/install.bat @@ -0,0 +1,27 @@ +@echo off +setlocal + +set "SCRIPT_DIR=%~dp0" + +echo Installing PySD simulator dependencies... + +where python3 >nul 2>&1 +if %errorlevel% equ 0 ( + set "PYTHON_CMD=python3" +) else ( + where python >nul 2>&1 + if %errorlevel% equ 0 ( + set "PYTHON_CMD=python" + ) else ( + echo Error: Python not found. Please install Python 3 to use the PySD simulator. + exit /b 1 + ) +) + +echo Using Python: %PYTHON_CMD% + +cd /d "%SCRIPT_DIR%" +%PYTHON_CMD% -m pip install --user -r requirements.txt + +echo Successfully installed PySD simulator dependencies +exit /b 0 diff --git a/third-party/causal-chains/install.bat b/third-party/causal-chains/install.bat new file mode 100644 index 00000000..949a5943 --- /dev/null +++ b/third-party/causal-chains/install.bat @@ -0,0 +1,19 @@ +@echo off +setlocal + +set "SCRIPT_DIR=%~dp0" + +echo Building causal-chains engine... + +where go >nul 2>&1 +if %errorlevel% neq 0 ( + echo Error: Go toolchain not found. Please install Go to build causal-chains engine. + exit /b 1 +) + +cd /d "%SCRIPT_DIR%" +echo Running: go build -o "%SCRIPT_DIR%causal-chains.exe" main.go +go build -o "%SCRIPT_DIR%causal-chains.exe" main.go + +echo Successfully built causal-chains binary at %SCRIPT_DIR%causal-chains.exe +exit /b 0 diff --git a/third-party/causal-decoder/install.bat b/third-party/causal-decoder/install.bat new file mode 100644 index 00000000..09360577 --- /dev/null +++ b/third-party/causal-decoder/install.bat @@ -0,0 +1,27 @@ +@echo off +setlocal + +set "SCRIPT_DIR=%~dp0" + +echo Installing causal-decoder dependencies... + +where python3 >nul 2>&1 +if %errorlevel% equ 0 ( + set "PYTHON_CMD=python3" +) else ( + where python >nul 2>&1 + if %errorlevel% equ 0 ( + set "PYTHON_CMD=python" + ) else ( + echo Error: Python not found. Please install Python 3 to use the causal-decoder engine. + exit /b 1 + ) +) + +echo Using Python: %PYTHON_CMD% + +cd /d "%SCRIPT_DIR%" +%PYTHON_CMD% -m pip install --user -r requirements.txt + +echo Successfully installed causal-decoder dependencies +exit /b 0 diff --git a/third-party/install.bat b/third-party/install.bat new file mode 100644 index 00000000..af7ba253 --- /dev/null +++ b/third-party/install.bat @@ -0,0 +1,42 @@ +@echo off +setlocal enabledelayedexpansion + +set "SCRIPT_DIR=%~dp0" +set "FAILED_COMPONENTS=" + +echo Installing third-party components... +echo. + +for /d %%D in ("%SCRIPT_DIR%*") do ( + if exist "%%D\install.bat" ( + echo ================================================ + echo Installing: %%~nxD + echo ================================================ + + call "%%D\install.bat" + if !errorlevel! equ 0 ( + echo + Successfully installed %%~nxD + echo. + ) else ( + echo - Failed to install %%~nxD + echo. + set "FAILED_COMPONENTS=!FAILED_COMPONENTS!%%~nxD " + ) + ) +) + +echo ================================================ +echo Installation Summary +echo ================================================ + +if "!FAILED_COMPONENTS!"=="" ( + echo + All third-party components installed successfully! + exit /b 0 +) else ( + echo - Failed to install the following components: + for %%C in (!FAILED_COMPONENTS!) do echo - %%C + echo. + echo Note: Some components may have failed due to missing dependencies. + echo Check the output above for details. + exit /b 0 +) diff --git a/third-party/install.js b/third-party/install.js new file mode 100644 index 00000000..c35a988c --- /dev/null +++ b/third-party/install.js @@ -0,0 +1,11 @@ +import { execSync } from 'child_process'; +import { dirname, join } from 'path'; +import { fileURLToPath } from 'url'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); + +if (process.platform === 'win32') { + execSync(`"${join(__dirname, 'install.bat')}"`, { stdio: 'inherit', shell: true }); +} else { + execSync(`bash "${join(__dirname, 'install.sh')}"`, { stdio: 'inherit' }); +} diff --git a/third-party/time-series-behavior-analysis/install.bat b/third-party/time-series-behavior-analysis/install.bat new file mode 100644 index 00000000..b3a1ffc9 --- /dev/null +++ b/third-party/time-series-behavior-analysis/install.bat @@ -0,0 +1,27 @@ +@echo off +setlocal + +set "SCRIPT_DIR=%~dp0" + +echo Installing time-series-behavior-analysis dependencies... + +where python3 >nul 2>&1 +if %errorlevel% equ 0 ( + set "PYTHON_CMD=python3" +) else ( + where python >nul 2>&1 + if %errorlevel% equ 0 ( + set "PYTHON_CMD=python" + ) else ( + echo Error: Python not found. Please install Python 3 to use the time-series-behavior-analysis module. + exit /b 1 + ) +) + +echo Using Python: %PYTHON_CMD% + +cd /d "%SCRIPT_DIR%" +%PYTHON_CMD% -m pip install --user -r requirements.txt + +echo Successfully installed time-series-behavior-analysis dependencies +exit /b 0 diff --git a/third-party/visualization-engine/install.bat b/third-party/visualization-engine/install.bat new file mode 100644 index 00000000..07df9d0a --- /dev/null +++ b/third-party/visualization-engine/install.bat @@ -0,0 +1,27 @@ +@echo off +setlocal + +set "SCRIPT_DIR=%~dp0" + +echo Installing visualization-engine dependencies... + +where python3 >nul 2>&1 +if %errorlevel% equ 0 ( + set "PYTHON_CMD=python3" +) else ( + where python >nul 2>&1 + if %errorlevel% equ 0 ( + set "PYTHON_CMD=python" + ) else ( + echo Error: Python not found. Please install Python 3 to use the visualization engine. + exit /b 1 + ) +) + +echo Using Python: %PYTHON_CMD% + +cd /d "%SCRIPT_DIR%" +%PYTHON_CMD% -m pip install --user -r requirements.txt + +echo Successfully installed visualization-engine dependencies +exit /b 0 From 03b32749c4cd12103309e8042798d49d8dd4985f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 27 Apr 2026 21:34:39 -0400 Subject: [PATCH 062/226] fixed causal chains so that it works on windows too. --- engines/causal-chains/engine.js | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/engines/causal-chains/engine.js b/engines/causal-chains/engine.js index 77221962..5ed58825 100644 --- a/engines/causal-chains/engine.js +++ b/engines/causal-chains/engine.js @@ -13,6 +13,7 @@ import logger from "../../utilities/logger.js"; const __filename = fileURLToPath(import.meta.url); // get the resolved path to the file const __dirname = path.dirname(__filename); // get the name of the directory const THIRD_PARTY_DIR = path.resolve(__dirname, '../../third-party/causal-chains'); +const BINARY_PATH = path.join(THIRD_PARTY_DIR, process.platform === 'win32' ? 'causal-chains.exe' : 'causal-chains'); class Engine { constructor() { @@ -28,8 +29,9 @@ focus on chains of relationships, rather then individual links.` static supportedModes() { // check that the third-party/causal-chains Go binary exists try { - const stats = statSync(`${THIRD_PARTY_DIR}/causal-chains`); - const isExecutable = !!(stats.mode & (fs.constants.S_IXUSR | fs.constants.S_IXGRP | fs.constants.S_IXOTH)); + statSync(BINARY_PATH); + // on Windows all files are executable; on Unix check the execute bit + const isExecutable = process.platform === 'win32' || !!(statSync(BINARY_PATH).mode & 0o111); if (isExecutable) { return ["cld"]; @@ -127,7 +129,7 @@ focus on chains of relationships, rather then individual links.` const inputPath = path.resolve(path.join(tempDir, 'data.json')); // logger.log(`input path is ${inputPath}`); await fs.writeFile(inputPath, JSON.stringify(input)); - const { stdout, stderr } = await promiseExec(`${THIRD_PARTY_DIR}/causal-chains ${inputPath}`, {cwd: tempDir}); + const { stdout, stderr } = await promiseExec(`"${BINARY_PATH}" "${inputPath}"`, {cwd: tempDir}); return JSON.parse(stdout.toString()); } catch (err) { logger.log(`causal-chains returned non-zero exit code: ${err.status}`); From 231cf306f4cae8f1893e14d8492d79bbc40709f2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 06:33:40 -0400 Subject: [PATCH 063/226] installing python deps for the user doesn't work --- third-party/PySD-simulator/install.bat | 2 +- third-party/PySD-simulator/install.sh | 2 +- third-party/causal-decoder/install.bat | 2 +- third-party/causal-decoder/install.sh | 2 +- third-party/time-series-behavior-analysis/install.bat | 2 +- third-party/time-series-behavior-analysis/install.sh | 2 +- third-party/visualization-engine/install.bat | 2 +- third-party/visualization-engine/install.sh | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/third-party/PySD-simulator/install.bat b/third-party/PySD-simulator/install.bat index 181c1db8..21cf08a3 100644 --- a/third-party/PySD-simulator/install.bat +++ b/third-party/PySD-simulator/install.bat @@ -21,7 +21,7 @@ if %errorlevel% equ 0 ( echo Using Python: %PYTHON_CMD% cd /d "%SCRIPT_DIR%" -%PYTHON_CMD% -m pip install --user -r requirements.txt +%PYTHON_CMD% -m pip install -r requirements.txt echo Successfully installed PySD simulator dependencies exit /b 0 diff --git a/third-party/PySD-simulator/install.sh b/third-party/PySD-simulator/install.sh index fc281665..77d91564 100755 --- a/third-party/PySD-simulator/install.sh +++ b/third-party/PySD-simulator/install.sh @@ -23,6 +23,6 @@ echo "Using Python: $PYTHON_CMD" # Install dependencies cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install --user -r requirements.txt +$PYTHON_CMD -m pip install -r requirements.txt echo "Successfully installed PySD simulator dependencies" diff --git a/third-party/causal-decoder/install.bat b/third-party/causal-decoder/install.bat index 09360577..4acdbff0 100644 --- a/third-party/causal-decoder/install.bat +++ b/third-party/causal-decoder/install.bat @@ -21,7 +21,7 @@ if %errorlevel% equ 0 ( echo Using Python: %PYTHON_CMD% cd /d "%SCRIPT_DIR%" -%PYTHON_CMD% -m pip install --user -r requirements.txt +%PYTHON_CMD% -m pip install -r requirements.txt echo Successfully installed causal-decoder dependencies exit /b 0 diff --git a/third-party/causal-decoder/install.sh b/third-party/causal-decoder/install.sh index 60e9a46a..a6e813b2 100755 --- a/third-party/causal-decoder/install.sh +++ b/third-party/causal-decoder/install.sh @@ -23,6 +23,6 @@ echo "Using Python: $PYTHON_CMD" # Install dependencies cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install --user -r requirements.txt +$PYTHON_CMD -m pip install -r requirements.txt echo "Successfully installed causal-decoder dependencies" diff --git a/third-party/time-series-behavior-analysis/install.bat b/third-party/time-series-behavior-analysis/install.bat index b3a1ffc9..81afe1e2 100644 --- a/third-party/time-series-behavior-analysis/install.bat +++ b/third-party/time-series-behavior-analysis/install.bat @@ -21,7 +21,7 @@ if %errorlevel% equ 0 ( echo Using Python: %PYTHON_CMD% cd /d "%SCRIPT_DIR%" -%PYTHON_CMD% -m pip install --user -r requirements.txt +%PYTHON_CMD% -m pip install -r requirements.txt echo Successfully installed time-series-behavior-analysis dependencies exit /b 0 diff --git a/third-party/time-series-behavior-analysis/install.sh b/third-party/time-series-behavior-analysis/install.sh index 471be462..4dd6a462 100755 --- a/third-party/time-series-behavior-analysis/install.sh +++ b/third-party/time-series-behavior-analysis/install.sh @@ -23,6 +23,6 @@ echo "Using Python: $PYTHON_CMD" # Install dependencies cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install --user -r requirements.txt +$PYTHON_CMD -m pip install -r requirements.txt echo "Successfully installed time-series-behavior-analysis dependencies" diff --git a/third-party/visualization-engine/install.bat b/third-party/visualization-engine/install.bat index 07df9d0a..4db14786 100644 --- a/third-party/visualization-engine/install.bat +++ b/third-party/visualization-engine/install.bat @@ -21,7 +21,7 @@ if %errorlevel% equ 0 ( echo Using Python: %PYTHON_CMD% cd /d "%SCRIPT_DIR%" -%PYTHON_CMD% -m pip install --user -r requirements.txt +%PYTHON_CMD% -m pip install -r requirements.txt echo Successfully installed visualization-engine dependencies exit /b 0 diff --git a/third-party/visualization-engine/install.sh b/third-party/visualization-engine/install.sh index 95d096be..08597425 100755 --- a/third-party/visualization-engine/install.sh +++ b/third-party/visualization-engine/install.sh @@ -21,6 +21,6 @@ fi echo "Using Python: $PYTHON_CMD" cd "$SCRIPT_DIR" -$PYTHON_CMD -m pip install --user -r requirements.txt +$PYTHON_CMD -m pip install -r requirements.txt echo "Successfully installed visualization-engine dependencies" From 6baed0afb7e0877137fbd5ae4a3e9642ae9cf152 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 07:22:58 -0400 Subject: [PATCH 064/226] changed defaults to ganos-lal --- agent/config/ganos-lal.md | 3 ++- agent/config/myrddin.md | 1 + agent/websocket.js | 6 +++--- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/agent/config/ganos-lal.md b/agent/config/ganos-lal.md index efe6cdbf..39d11b59 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/ganos-lal.md @@ -31,7 +31,8 @@ IMPORTANT RULES: 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! 10. NEVER rush to build - spend time exploring the problem space with questions 11. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. -12. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models +12. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. +13. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - First call get_variable_data to get time series data for key variables - Then call create_visualization to generate charts - Users learn better when they can SEE the model behavior diff --git a/agent/config/myrddin.md b/agent/config/myrddin.md index ffbf3cb6..5d6cb1c4 100644 --- a/agent/config/myrddin.md +++ b/agent/config/myrddin.md @@ -24,6 +24,7 @@ IMPORTANT RULES: 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! 8. Assume NO limits on complexity - build comprehensive models as needed 9. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. +10. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. ## Loops That Matter (LTM) Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. diff --git a/agent/websocket.js b/agent/websocket.js index e9c62afb..0c447fd7 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -84,10 +84,10 @@ function getAvailableAgents() { logger.error('Failed to scan agent config directory:', err); } - // Hardcoded defaults - myrddin is the default agent for all model types + // Hardcoded defaults - ganos-lal is the default agent for all model types const defaults = { - sfd: 'myrddin', - cld: 'myrddin' + sfd: 'ganos-lal', + cld: 'ganos-lal' }; return { agents, defaults }; From 73535b33c385fcbf01482b114aca06f34ab19a85 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 09:05:15 -0400 Subject: [PATCH 065/226] option to skip third party pieces during install --- third-party/install.bat | 35 ++++++++++++++++++++++++++--------- third-party/install.sh | 22 ++++++++++++++++++++++ 2 files changed, 48 insertions(+), 9 deletions(-) diff --git a/third-party/install.bat b/third-party/install.bat index af7ba253..1ef8af4b 100644 --- a/third-party/install.bat +++ b/third-party/install.bat @@ -1,6 +1,9 @@ @echo off setlocal enabledelayedexpansion +rem Set SKIP_THIRD_PARTY_COMPONENTS to a comma-separated list of component names to skip. +rem Example: set SKIP_THIRD_PARTY_COMPONENTS=causal-decoder,PySD-simulator,time-series-behavior-analysis && npm install + set "SCRIPT_DIR=%~dp0" set "FAILED_COMPONENTS=" @@ -9,18 +12,32 @@ echo. for /d %%D in ("%SCRIPT_DIR%*") do ( if exist "%%D\install.bat" ( - echo ================================================ - echo Installing: %%~nxD - echo ================================================ + set "COMPONENT_NAME=%%~nxD" + set "SKIP_THIS=" + + for %%S in ("%SKIP_THIRD_PARTY_COMPONENTS:,=" "%") do ( + if /i "%%~S"=="!COMPONENT_NAME!" set "SKIP_THIS=1" + ) - call "%%D\install.bat" - if !errorlevel! equ 0 ( - echo + Successfully installed %%~nxD + if defined SKIP_THIS ( + echo ================================================ + echo Skipping: !COMPONENT_NAME! + echo ================================================ echo. ) else ( - echo - Failed to install %%~nxD - echo. - set "FAILED_COMPONENTS=!FAILED_COMPONENTS!%%~nxD " + echo ================================================ + echo Installing: %%~nxD + echo ================================================ + + call "%%D\install.bat" + if !errorlevel! equ 0 ( + echo + Successfully installed %%~nxD + echo. + ) else ( + echo - Failed to install %%~nxD + echo. + set "FAILED_COMPONENTS=!FAILED_COMPONENTS!%%~nxD " + ) ) ) ) diff --git a/third-party/install.sh b/third-party/install.sh index ce5f4b48..ccddc9fe 100755 --- a/third-party/install.sh +++ b/third-party/install.sh @@ -2,6 +2,9 @@ # Master installation script for all third-party components # This script iterates through all subdirectories and runs their install.sh scripts +# +# Set SKIP_THIRD_PARTY_COMPONENTS to a comma-separated list of component names to skip. +# Example: SKIP_THIRD_PARTY_COMPONENTS=causal-decoder,PySD-simulator,time-series-behavior-analysis npm install set -e @@ -13,6 +16,17 @@ echo "" # Track overall success FAILED_COMPONENTS=() +should_skip() { + local name="$1" + IFS=',' read -ra SKIP_LIST <<< "${SKIP_THIRD_PARTY_COMPONENTS:-}" + for skip in "${SKIP_LIST[@]}"; do + if [ "$skip" = "$name" ]; then + return 0 + fi + done + return 1 +} + # Iterate through all subdirectories that have an install.sh script for component_dir in "$SCRIPT_DIR"/*/; do # Remove trailing slash and get component name @@ -20,6 +34,14 @@ for component_dir in "$SCRIPT_DIR"/*/; do install_script="$component_dir/install.sh" if [ -f "$install_script" ] && [ -x "$install_script" ]; then + if should_skip "$component_name"; then + echo "================================================" + echo "Skipping: $component_name" + echo "================================================" + echo "" + continue + fi + echo "================================================" echo "Installing: $component_name" echo "================================================" From 8f13a4098faab10bae8e2687a6f3053afa441107 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 09:08:48 -0400 Subject: [PATCH 066/226] update README --- README.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/README.md b/README.md index 84e56dd2..85963fe8 100644 --- a/README.md +++ b/README.md @@ -224,6 +224,28 @@ Some engines require additional dependencies to be installed on your system: These dependencies are automatically built/installed when you run `npm install` via postinstall hooks, but only if the respective toolchains are available on your PATH. +To skip specific components during installation, set the `SKIP_THIRD_PARTY_COMPONENTS` environment variable to a comma-separated list of component names before running `npm install`: + +**Mac/Linux:** +```bash +SKIP_THIRD_PARTY_COMPONENTS=causal-decoder,PySD-simulator,time-series-behavior-analysis npm install +``` + +**Windows:** +```bat +set SKIP_THIRD_PARTY_COMPONENTS=causal-decoder,PySD-simulator,time-series-behavior-analysis && npm install +``` + +Available component names and what they affect: + +| Component | Effect of skipping | +|---|---| +| `causal-chains` | Disables the causal-chains engine | +| `causal-decoder` | Disables the causal-decoder engine | +| `PySD-simulator` | Breaks evals | +| `time-series-behavior-analysis` | Breaks evals | +| `visualization-engine` | Breaks agentic tools | + ## Metrics Reporting SD-AI includes optional metrics reporting via the `GenerateMetricsReporter` class. When enabled, it automatically tracks and reports usage data for every engine generation request. From 3d5018b543ef80fe916f49bf6353cdebb99d03c9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 10:21:45 -0400 Subject: [PATCH 067/226] extra logging for visualization engine, and preventing cleanup for testing purposes --- agent/utilities/VisualizationEngine.js | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 0709d59f..d14366fe 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -3,6 +3,7 @@ import { join, resolve, normalize, dirname } from 'path'; import { writeFileSync, readFileSync, existsSync, unlinkSync } from 'fs'; import { spawn } from 'child_process'; import { fileURLToPath } from 'url'; +import { userInfo } from 'os'; import { LLMWrapper } from '../../utilities/LLMWrapper.js'; import logger from '../../utilities/logger.js'; @@ -129,6 +130,7 @@ export class VisualizationEngine { dataPath, outputPath, data, variables, options ); writeFileSync(scriptPath, pythonScript); + logger.log(`[VizEngine] AI script created: ${scriptPath} at ${new Date().toISOString()}`); // 3. Execute Python script await this.executePythonScript(scriptPath); @@ -146,8 +148,8 @@ export class VisualizationEngine { error = err; // Suppress error logging - errors are thrown and handled by caller } finally { - // ALWAYS cleanup temp files - this.cleanupVisualizationFiles(vizId); + // CLEANUP DISABLED for debugging - re-enable when matplotlib issue is resolved + // this.cleanupVisualizationFiles(vizId); if (error) { throw error; @@ -293,6 +295,7 @@ Generate ONLY working Python code, no explanations.`; type, dataPath, outputPath, variables, options ); writeFileSync(scriptPath, pythonScript); + logger.log(`[VizEngine] Template script created: ${scriptPath} at ${new Date().toISOString()}`); // 3. Execute Python script await this.executePythonScript(scriptPath); @@ -310,8 +313,8 @@ Generate ONLY working Python code, no explanations.`; error = err; // Suppress error logging - errors are thrown and handled by caller } finally { - // ALWAYS cleanup temp files - this.cleanupVisualizationFiles(vizId); + // CLEANUP DISABLED for debugging - re-enable when matplotlib issue is resolved + // this.cleanupVisualizationFiles(vizId); if (error) { throw error; @@ -612,6 +615,10 @@ print('Visualization saved') ? join(__dirname, 'python_sandbox_windows.bat') : join(__dirname, 'python_sandbox.sh'); + const currentUser = (() => { try { return userInfo().username; } catch { return process.env.USER || 'unknown'; } })(); + logger.log(`[VizEngine] Invoking sandbox: ${sandboxScript} ${this.resolvedTempDir} ${validatedPath}`); + logger.log(`[VizEngine] Running as user: ${currentUser}, PATH: ${process.env.PATH}`); + return new Promise((resolve, reject) => { // Arguments: sandbox_dir, script_path const sandboxProcess = spawn(sandboxScript, [ From 407269b0d076fa325c7b5a7513e30ff2b66f981c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 10:33:59 -0400 Subject: [PATCH 068/226] put back the cleanup code --- agent/utilities/VisualizationEngine.js | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index d14366fe..f50b274f 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -148,8 +148,8 @@ export class VisualizationEngine { error = err; // Suppress error logging - errors are thrown and handled by caller } finally { - // CLEANUP DISABLED for debugging - re-enable when matplotlib issue is resolved - // this.cleanupVisualizationFiles(vizId); + // ALWAYS cleanup temp files + this.cleanupVisualizationFiles(vizId); if (error) { throw error; @@ -313,8 +313,8 @@ Generate ONLY working Python code, no explanations.`; error = err; // Suppress error logging - errors are thrown and handled by caller } finally { - // CLEANUP DISABLED for debugging - re-enable when matplotlib issue is resolved - // this.cleanupVisualizationFiles(vizId); + // ALWAYS cleanup temp files + this.cleanupVisualizationFiles(vizId); if (error) { throw error; From 295b41f44c54d5c4ed552e8ad9d22e19a228124c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 14:35:08 -0400 Subject: [PATCH 069/226] don't log messages --- agent/AgentOrchestrator.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index ac539919..7255f0e0 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -244,7 +244,7 @@ export class AgentOrchestrator { if (previousAgentContext?.length > 0 && !this.sdkSessionId) { const contextToReplay = previousAgentContext.slice(0, -1); if (contextToReplay.length > 0) { - logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent:`, JSON.stringify(contextToReplay, null, 2)); + logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent.`); const contextText = await this.buildPriorContextText(contextToReplay); prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; } From 649f991b4af77734f3adf94275d22ac64b21caf5 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 15:04:36 -0400 Subject: [PATCH 070/226] make this far cheaper to run by keeping models and variable data out of the context and in files --- agent/AgentOrchestrator.js | 37 +---- agent/tools/BuiltInToolProvider.js | 12 +- agent/tools/builtin/clientInteractionTools.js | 19 ++- agent/tools/builtin/fileTools.js | 127 ++++++++++++++++++ .../tools/builtin/generateQualitativeModel.js | 6 +- .../builtin/generateQuantitativeModel.js | 6 +- agent/tools/builtin/index.js | 1 + agent/tools/builtin/largeModelTools.js | 1 - agent/utilities/SessionManager.js | 30 ++++- agent/utilities/VisualizationEngine.js | 2 - 10 files changed, 198 insertions(+), 43 deletions(-) create mode 100644 agent/tools/builtin/fileTools.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 7255f0e0..2d81a986 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -2,8 +2,6 @@ import Anthropic from '@anthropic-ai/sdk'; import { query } from '@anthropic-ai/claude-agent-sdk'; import { marked } from 'marked'; import { countTokens } from '@anthropic-ai/tokenizer'; -import { writeFileSync } from 'fs'; -import { join } from 'path'; import { AgentConfigurationManager } from './utilities/AgentConfigurationManager.js'; import { BuiltInToolProvider } from './tools/BuiltInToolProvider.js'; import { DynamicToolProvider } from './tools/DynamicToolProvider.js'; @@ -119,10 +117,6 @@ export class AgentOrchestrator { await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); } - #buildModelSizeSystemMessage(modelTokenCount, modelPath) { - return `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`generate_quantitative_model\` tool has been disabled.\n\nThe model has been saved to: \`${modelPath}\`\n\nYou can now work with the model using these tools:\n- \`read_model_section\`: Read specific sections of the model (metadata, specs, variables, relationships, modules) with optional filtering\n- \`edit_model_section\`: Edit specific sections by adding, updating, or removing items\n- **Read, Edit, Write**: Use the built-in filesystem tools to directly read and edit the model file at the path above\n\nThese tools allow you to work with large models efficiently without loading the entire model into memory. Use read_model_section first to inspect the parts you need, then use edit_model_section to make targeted changes.`; - } - /** * Start conversation using Claude Agent SDK */ @@ -150,19 +144,9 @@ export class AgentOrchestrator { logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - // If model exceeds limit, write to disk (SFD only — large model tools are SFD-specific) if (modelExceedsLimit) { - const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); - const modelPath = join(sessionTempDir, 'model.sdjson'); - - try { - writeFileSync(modelPath, modelJson); - logger.log(`Model exceeds token limit. Written to: ${modelPath}`); - - systemPrompt += this.#buildModelSizeSystemMessage(modelTokenCount, modelPath); - } catch (err) { - logger.error(`Failed to write model to disk: ${err.message}`); - } + const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; + systemPrompt += `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; } } @@ -201,6 +185,7 @@ export class AgentOrchestrator { const builtInToolNames = this.builtInToolProvider.getToolNames() .filter(name => { const toolDef = allBuiltInTools.tools[name]; + if (toolDef?.nonSdkOnly) return false; if (toolDef?.supportedModes && !toolDef.supportedModes.includes(mode)) return false; if (toolDef?.maxModelTokens && modelTokenCount > toolDef.maxModelTokens) return false; if (toolDef?.minModelTokens && modelTokenCount < toolDef.minModelTokens) return false; @@ -544,19 +529,9 @@ export class AgentOrchestrator { logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - // If model exceeds limit, write to disk so large model tools can access it if (modelExceedsLimit) { - const sessionTempDir = this.sessionManager.getSessionTempDir(this.sessionId); - const modelPath = join(sessionTempDir, 'model.sdjson'); - - try { - writeFileSync(modelPath, modelJson); - logger.log(`Model exceeds token limit. Written to: ${modelPath}`); - - systemPrompt += this.#buildModelSizeSystemMessage(modelTokenCount, modelPath); - } catch (err) { - logger.error(`Failed to write model to disk: ${err.message}`); - } + const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; + systemPrompt += `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; } } @@ -694,6 +669,8 @@ export class AgentOrchestrator { } else if (block.type === 'tool_use') { hasToolCalls = true; + logger.debug(`Tool call: ${block.name} (${block.id}) input: ${JSON.stringify(block.input)}`); + // Notify client that tool call is happening (for UI display) const isBuiltIn = this.isBuiltInTool(block.name, builtInTools); await this.sendToClient(createToolCallNotificationMessage( diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index ce484d4f..f5631306 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -18,7 +18,10 @@ import { createGetVariableDataTool, createVisualizationTool, createReadModelSectionTool, - createEditModelSectionTool + createEditModelSectionTool, + createReadFileTool, + createWriteFileTool, + createEditFileTool } from './builtin/index.js'; /** @@ -78,7 +81,10 @@ export class BuiltInToolProvider { get_variable_data: createGetVariableDataTool(this.sessionManager, this.sessionId, this.sendToClient), create_visualization: createVisualizationTool(this.sessionManager, this.sessionId, this.sendToClient, this.vizEngine), read_model_section: createReadModelSectionTool(this.sessionManager, this.sessionId), - edit_model_section: createEditModelSectionTool(this.sessionManager, this.sessionId, this.sendToClient) + edit_model_section: createEditModelSectionTool(this.sessionManager, this.sessionId, this.sendToClient), + read_file: createReadFileTool(), + write_file: createWriteFileTool(), + edit_file: createEditFileTool() } }; } @@ -100,6 +106,8 @@ export class BuiltInToolProvider { const toolsArr = []; for (const [toolName, toolDef] of Object.entries(toolCollection.tools)) { + if (toolDef.nonSdkOnly) continue; + // Tools in SDK mode need to throw errors instead of returning error responses const sdkHandler = async (args) => { const result = await toolDef.handler(args); diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index fb387ed8..21467aa3 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -11,6 +11,7 @@ import { GetRunInfoResponseSchema } from '../../utilities/MessageProtocol.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import logger from '../../../utilities/logger.js'; /** * Get the current model from the client @@ -47,7 +48,16 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien const modelData = await resultPromise; const parsed = GetCurrentModelResponseSchema.parse(modelData); - return createSuccessResponse(parsed); + // If the session has no model yet (empty variables), return it directly into context + if (!session.clientModel?.variables?.length) { + return createSuccessResponse(parsed); + } + + const { modelPath, message } = sessionManager.writeModelToDisk(sessionId, parsed); + + return createSuccessResponse({ message, modelPath }); + + // return createSuccessResponse(parsed); } catch (error) { return createErrorResponse(`Failed to get current model: ${error.message}`, error); } @@ -194,7 +204,7 @@ export function createGetRunInfoTool(sessionManager, sessionId, sendToClient) { */ export function createGetVariableDataTool(sessionManager, sessionId, sendToClient) { return { - description: 'Get data for specific variables from specific runs. Returns the time-series data for the requested variables from the requested runs. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs. For visualization or analysis, consider requesting a small subset of key variables first.', + description: 'Get data for specific variables from specific runs. Writes the time-series data to a file on disk and returns the file path. Use the Read filesystem tool to load the data into context. NOTE: This operation can be slow for large datasets - consider requesting only essential variables and runs.', supportedModes: ['sfd'], inputSchema: z.object({ variableNames: z.array(z.string()).describe('List of variable names to get data for'), @@ -227,7 +237,10 @@ export function createGetVariableDataTool(sessionManager, sessionId, sendToClien const variableData = await resultPromise; - return createSuccessResponse(variableData); + const filename = `variable_data_${Date.now()}.json`; + const { filePath, message } = sessionManager.writeDataToDisk(sessionId, filename, variableData); + + return createSuccessResponse({ message, filePath }); } catch (error) { return createErrorResponse(`Failed to get variable data: ${error.message}`, error); } diff --git a/agent/tools/builtin/fileTools.js b/agent/tools/builtin/fileTools.js new file mode 100644 index 00000000..82d7288e --- /dev/null +++ b/agent/tools/builtin/fileTools.js @@ -0,0 +1,127 @@ +import { z } from 'zod'; +import { readFileSync, writeFileSync, existsSync, mkdirSync } from 'fs'; +import { dirname } from 'path'; +import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; + +/** + * Read/Write/Edit file tools for the non-SDK agent loop. + * The SDK loop has built-in Read, Edit, Write tools; these mirror them for the manual route. + */ + +export function createReadFileTool() { + return { + description: `Read a file from disk and return its contents. Use this to load data files (e.g. variable data, model files) into context after a tool has written them to disk. + +Filtering options to avoid reading more than needed: +- startLine / endLine: read a specific line range (1-based, inclusive) +- search: return only lines containing this string (case-insensitive) +- maxLines: cap the number of lines returned (default: no limit)`, + supportedModes: ['sfd', 'cld'], + nonSdkOnly: true, + inputSchema: z.object({ + filePath: z.string().describe('Absolute path to the file to read'), + startLine: z.number().int().positive().optional().describe('First line to return (1-based, inclusive)'), + endLine: z.number().int().positive().optional().describe('Last line to return (1-based, inclusive)'), + search: z.string().optional().describe('Return only lines containing this string (case-insensitive)'), + maxLines: z.number().int().positive().optional().describe('Maximum number of lines to return') + }), + handler: async ({ filePath, startLine, endLine, search, maxLines }) => { + try { + if (!existsSync(filePath)) { + return createErrorResponse(`File not found: ${filePath}`); + } + + const raw = readFileSync(filePath, 'utf-8'); + let lines = raw.split('\n'); + const totalLines = lines.length; + + if (startLine !== undefined || endLine !== undefined) { + const start = (startLine ?? 1) - 1; + const end = endLine ?? totalLines; + lines = lines.slice(start, end); + } + + if (search) { + const lower = search.toLowerCase(); + lines = lines.filter(l => l.toLowerCase().includes(lower)); + } + + if (maxLines !== undefined) { + lines = lines.slice(0, maxLines); + } + + return createSuccessResponse({ + filePath, + totalLines, + returnedLines: lines.length, + content: lines.join('\n') + }); + } catch (error) { + return createErrorResponse(`Failed to read file: ${error.message}`, error); + } + } + }; +} + +export function createWriteFileTool() { + return { + description: 'Write content to a file on disk, creating the file (and any parent directories) if it does not exist. Overwrites any existing content.', + supportedModes: ['sfd', 'cld'], + nonSdkOnly: true, + inputSchema: z.object({ + filePath: z.string().describe('Absolute path to the file to write'), + content: z.string().describe('Content to write to the file') + }), + handler: async ({ filePath, content }) => { + try { + mkdirSync(dirname(filePath), { recursive: true }); + writeFileSync(filePath, content, 'utf-8'); + return createSuccessResponse({ filePath, bytesWritten: Buffer.byteLength(content, 'utf-8') }); + } catch (error) { + return createErrorResponse(`Failed to write file: ${error.message}`, error); + } + } + }; +} + +export function createEditFileTool() { + return { + description: `Replace a string in a file with new content. + +By default, old_string must appear exactly once. Set replaceAll: true to replace every occurrence. +The match is exact (whitespace-sensitive). Provide enough surrounding context to make the match unique.`, + supportedModes: ['sfd', 'cld'], + nonSdkOnly: true, + inputSchema: z.object({ + filePath: z.string().describe('Absolute path to the file to edit'), + oldString: z.string().describe('The exact string to find and replace'), + newString: z.string().describe('The string to replace it with'), + replaceAll: z.boolean().optional().describe('Replace every occurrence instead of requiring exactly one (default: false)') + }), + handler: async ({ filePath, oldString, newString, replaceAll = false }) => { + try { + if (!existsSync(filePath)) { + return createErrorResponse(`File not found: ${filePath}`); + } + const content = readFileSync(filePath, 'utf-8'); + const count = content.split(oldString).length - 1; + + if (count === 0) { + return createErrorResponse(`old_string not found in file: ${filePath}`); + } + if (!replaceAll && count > 1) { + return createErrorResponse(`old_string matches ${count} locations — add more context to make it unique, or set replaceAll: true`); + } + + const updated = replaceAll + ? content.split(oldString).join(newString) + : content.replace(oldString, newString); + + writeFileSync(filePath, updated, 'utf-8'); + return createSuccessResponse({ filePath, replacements: count }); + } catch (error) { + return createErrorResponse(`Failed to edit file: ${error.message}`, error); + } + } + }; +} diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index 1e23823d..0ad81f44 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -51,9 +51,11 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se await updatePromise; - // Build response + const { modelPath, message } = sessionManager.writeModelToDisk(sessionId, result.model); + return createSuccessResponse({ - model: result.model, + message: `Model generated and pushed to client. ${message}`, + modelPath, supportingInfo: result.supportingInfo, pushedToClient: true }); diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index c8f1102a..093ddcb2 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -53,9 +53,11 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s await updatePromise; - // Build response + const { modelPath, message } = sessionManager.writeModelToDisk(sessionId, result.model); + return createSuccessResponse({ - model: result.model, + message: `Model generated and pushed to client. ${message}`, + modelPath, supportingInfo: result.supportingInfo, pushedToClient: true }); diff --git a/agent/tools/builtin/index.js b/agent/tools/builtin/index.js index 2cc457fe..3f69b878 100644 --- a/agent/tools/builtin/index.js +++ b/agent/tools/builtin/index.js @@ -24,6 +24,7 @@ export { createReadModelSectionTool, createEditModelSectionTool } from './largeModelTools.js'; +export { createReadFileTool, createWriteFileTool, createEditFileTool } from './fileTools.js'; // Helper utilities export { generateRequestId, createErrorResponse } from './toolHelpers.js'; diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 641b5c61..60843ec0 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -39,7 +39,6 @@ Filtering: - moduleName filter gets all variables from a specific module (by name prefix) - usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores)`, supportedModes: ['sfd', 'cld'], - minModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to read'), filter: z.object({ diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 6b88094b..c0455641 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -1,7 +1,7 @@ import { randomBytes } from 'crypto'; import { tmpdir } from 'os'; import { join } from 'path'; -import { existsSync, mkdirSync, readdirSync, rmSync } from 'fs'; +import { existsSync, mkdirSync, readdirSync, rmSync, writeFileSync } from 'fs'; import Anthropic from '@anthropic-ai/sdk'; import { countTokens } from '@anthropic-ai/tokenizer'; import logger from '../../utilities/logger.js'; @@ -185,6 +185,34 @@ export class SessionManager { return session?.tempDir; } + /** + * Write a model to disk and return the LLM message describing where to find it. + * Returns { modelPath, message }. + */ + writeModelToDisk(sessionId, model) { + const sessionTempDir = this.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + mkdirSync(sessionTempDir, { recursive: true }); + writeFileSync(modelPath, JSON.stringify(model, null, 2)); + logger.log(`Model written to: ${modelPath}`); + const message = `The model has been written to disk at: ${modelPath}. Use the read_model_section tool to inspect specific sections.`; + return { modelPath, message }; + } + + /** + * Write arbitrary data to a named file in the session temp directory. + * Returns { filePath, message }. + */ + writeDataToDisk(sessionId, filename, data) { + const sessionTempDir = this.getSessionTempDir(sessionId); + const filePath = join(sessionTempDir, filename); + mkdirSync(sessionTempDir, { recursive: true }); + writeFileSync(filePath, JSON.stringify(data, null, 2)); + logger.log(`Data written to: ${filePath}`); + const message = `The data has been written to disk at: ${filePath}. Use the Read filesystem tool to load it into context.`; + return { filePath, message }; + } + /** * Add to conversation context */ diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index f50b274f..3f1da730 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -616,8 +616,6 @@ print('Visualization saved') : join(__dirname, 'python_sandbox.sh'); const currentUser = (() => { try { return userInfo().username; } catch { return process.env.USER || 'unknown'; } })(); - logger.log(`[VizEngine] Invoking sandbox: ${sandboxScript} ${this.resolvedTempDir} ${validatedPath}`); - logger.log(`[VizEngine] Running as user: ${currentUser}, PATH: ${process.env.PATH}`); return new Promise((resolve, reject) => { // Arguments: sandbox_dir, script_path From 98d1058a7aa6baa4f1b4da47ae888482af8bcf02 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 15:30:49 -0400 Subject: [PATCH 071/226] switched agent names and added agent roles --- agent/README.md | 28 +++++++++---------- agent/config/{myrddin.md => merlin.md} | 5 ++-- agent/config/{ganos-lal.md => socrates.md} | 5 ++-- agent/utilities/AgentConfigurationManager.js | 2 +- agent/utilities/MessageProtocol.js | 2 +- agent/websocket.js | 7 +++-- tests/agent/AgentConfigurationManager.test.js | 4 +-- tests/agent/MessageProtocol.test.js | 6 ++-- .../agent/SessionManagerSummarization.test.js | 4 +-- 9 files changed, 33 insertions(+), 30 deletions(-) rename agent/config/{myrddin.md => merlin.md} (99%) rename agent/config/{ganos-lal.md => socrates.md} (99%) diff --git a/agent/README.md b/agent/README.md index a1d32d10..3826902c 100644 --- a/agent/README.md +++ b/agent/README.md @@ -12,7 +12,7 @@ This WebSocket server provides an AI agent (powered by Claude) that helps users - Optional custom client tool registration for application-specific behavior - Configurable agent behavior via Markdown files in `agent/config/` - AI-powered custom visualizations (SVG) -- Multiple agent personalities (Ganos Lal, Myrddin, etc.) +- Multiple agent personalities (Socrates, Merlin, etc.) - Per-session temp directory for visualization scratch space ## Architecture @@ -66,7 +66,7 @@ ws://localhost:3000/api/v1/agent 2. **Server sends** `session_created` with session ID 3. **Client sends** `initialize_session` with auth, model type, initial model, and optional custom tools 4. **Server validates** and sends `session_ready` with available agents -5. **Client sends** `select_agent` to choose an agent (e.g., `"ganos-lal"`, `"myrddin"`) +5. **Client sends** `select_agent` to choose an agent (e.g., `"socrates"`, `"merlin"`) 6. **Server sends** `agent_selected` confirmation 7. **Normal conversation** begins with `chat` messages @@ -177,7 +177,7 @@ Chooses which agent personality to use. { "type": "select_agent", "sessionId": "sess_abc123", - "agentId": "ganos-lal" + "agentId": "socrates" } ``` @@ -288,21 +288,21 @@ Sent after successful initialization. Lists available agents. "sessionId": "sess_abc123", "availableAgents": [ { - "id": "ganos-lal", - "name": "Ganos Lal", + "id": "socrates", + "name": "Socrates", "supportedModes": ["sfd", "cld"], "description": "System Dynamics mentor who uses Socratic questioning..." }, { - "id": "myrddin", - "name": "Myrddin", + "id": "merlin", + "name": "Merlin", "supportedModes": ["sfd", "cld"], "description": "..." } ], "defaults": { - "sfd": "myrddin", - "cld": "myrddin" + "sfd": "merlin", + "cld": "merlin" }, "timestamp": "2025-01-15T10:30:00.100Z" } @@ -316,8 +316,8 @@ Confirms the selected agent is ready. { "type": "agent_selected", "sessionId": "sess_abc123", - "agentId": "ganos-lal", - "agentName": "Ganos Lal", + "agentId": "socrates", + "agentName": "Socrates", "timestamp": "2025-01-15T10:30:00.200Z" } ``` @@ -712,15 +712,15 @@ Agents are configured via Markdown files in `agent/config/`. The server automati ``` agent/config/ - ganos-lal.md - myrddin.md + socrates.md + merlin.md ``` **Frontmatter fields:** ```yaml --- -name: "Ganos Lal" +name: "Socrates" description: "System Dynamics mentor who uses Socratic questioning..." version: "1.0" max_iterations: 20 diff --git a/agent/config/myrddin.md b/agent/config/merlin.md similarity index 99% rename from agent/config/myrddin.md rename to agent/config/merlin.md index 5d6cb1c4..72a6dd70 100644 --- a/agent/config/myrddin.md +++ b/agent/config/merlin.md @@ -1,5 +1,6 @@ --- -name: "Myrddin" +name: "Merlin" +role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 100 @@ -9,7 +10,7 @@ supported_modes: - cld --- -You are Myrddin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. +You are Merlin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. Your responses should be direct, technically precise, and action-oriented. Use proper SD terminology freely - your users are comfortable with jargon. Ask only the essential questions needed to build accurate models. diff --git a/agent/config/ganos-lal.md b/agent/config/socrates.md similarity index 99% rename from agent/config/ganos-lal.md rename to agent/config/socrates.md index 39d11b59..6876077c 100644 --- a/agent/config/ganos-lal.md +++ b/agent/config/socrates.md @@ -1,5 +1,6 @@ --- -name: "Ganos Lal" +name: "Socrates" +role: "Coach" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" max_iterations: 20 @@ -9,7 +10,7 @@ supported_modes: - cld --- -You are Ganos Lal, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. +You are Socrates, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index de592fce..403b48da 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -6,7 +6,7 @@ import logger from '../../utilities/logger.js'; * Loads and manages agent configuration from Markdown files * * Key Features: - * - Loads agent configuration from MD files (e.g., ganos-lal.md, myrddin.md) + * - Loads agent configuration from MD files (e.g., socrates.md, merlin.md) * - Provides system prompts for Claude Agent SDK * - NO filesystem writes - all modifications in memory only */ diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 80a273c3..53a94947 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -123,7 +123,7 @@ export const InitializeSessionMessageSchema = z.object({ const SelectAgentMessageSchema = z.object({ type: z.literal('select_agent').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), - agentId: z.string().describe('Agent ID to use (e.g., "myrddin", "ganos-lal")'), + agentId: z.string().describe('Agent ID to use (e.g., "merlin", "socrates")'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); diff --git a/agent/websocket.js b/agent/websocket.js index 0c447fd7..06e8bbd5 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -72,6 +72,7 @@ function getAvailableAgents() { agents.push({ id: file.replace('.md', ''), name: metadata.name || file.replace('.md', ''), + role: metadata.role || 'Agent', supportedModes: metadata.supported_modes || [], description: metadata.description || '' }); @@ -84,10 +85,10 @@ function getAvailableAgents() { logger.error('Failed to scan agent config directory:', err); } - // Hardcoded defaults - ganos-lal is the default agent for all model types + // Hardcoded defaults - socrates is the default agent for all model types const defaults = { - sfd: 'ganos-lal', - cld: 'ganos-lal' + sfd: 'socrates', + cld: 'socrates' }; return { agents, defaults }; diff --git a/tests/agent/AgentConfigurationManager.test.js b/tests/agent/AgentConfigurationManager.test.js index ff14dc4c..6d169b69 100644 --- a/tests/agent/AgentConfigurationManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -9,7 +9,7 @@ describe('AgentConfigurationManager', () => { let configManager; beforeEach(() => { - const configPath = path.join(__dirname, '../../agent/config/ganos-lal.md'); + const configPath = path.join(__dirname, '../../agent/config/socrates.md'); configManager = new AgentConfigurationManager(configPath); }); @@ -17,7 +17,7 @@ describe('AgentConfigurationManager', () => { it('should load config from MD file', () => { expect(configManager.config).toBeDefined(); expect(configManager.config.agent).toBeDefined(); - expect(configManager.config.agent.name).toBe('Ganos Lal'); + expect(configManager.config.agent.name).toBe('Socrates'); }); it('should throw error for non-existent config file', () => { diff --git a/tests/agent/MessageProtocol.test.js b/tests/agent/MessageProtocol.test.js index 57f0c9e9..0ebd940a 100644 --- a/tests/agent/MessageProtocol.test.js +++ b/tests/agent/MessageProtocol.test.js @@ -190,15 +190,15 @@ describe('MessageProtocol', () => { it('should create session ready message', () => { const availableAgents = [ - { id: 'ganos-lal', name: 'Ganos Lal', description: 'Helpful mentor' }, - { id: 'myrddin', name: 'Myrddin', description: 'Expert modeler' } + { id: 'socrates', name: 'Socrates', description: 'Helpful mentor' }, + { id: 'merlin', name: 'Merlin', description: 'Expert modeler' } ]; const message = createSessionReadyMessage('session-1', availableAgents); expect(message.type).toBe('session_ready'); expect(message.sessionId).toBe('session-1'); expect(message.availableAgents).toHaveLength(2); - expect(message.availableAgents[0].id).toBe('ganos-lal'); + expect(message.availableAgents[0].id).toBe('socrates'); }); }); }); diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js index 139b9371..c98cd0fc 100644 --- a/tests/agent/SessionManagerSummarization.test.js +++ b/tests/agent/SessionManagerSummarization.test.js @@ -7,8 +7,8 @@ import { fileURLToPath } from 'url'; const __filename = fileURLToPath(import.meta.url); const __dirname = path.dirname(__filename); -const AGENT_A_CONFIG = path.join(__dirname, '../../agent/config/ganos-lal.md'); -const AGENT_B_CONFIG = path.join(__dirname, '../../agent/config/myrddin.md'); +const AGENT_A_CONFIG = path.join(__dirname, '../../agent/config/socrates.md'); +const AGENT_B_CONFIG = path.join(__dirname, '../../agent/config/merlin.md'); function makeMockAnthropic(summaryText = 'Mocked summary.') { return { From 97bc1d171387f472a6075370a65a079e184480db Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 15:47:15 -0400 Subject: [PATCH 072/226] remove stray underscores --- agent/config/merlin.md | 2 +- agent/config/socrates.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 72a6dd70..28cd5c54 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -173,7 +173,7 @@ Create analytical visualizations: - thinking: Concise theoretical reasoning from SD principles - actions: Direct descriptions of tools and their purpose - results: Technical interpretation in terms of feedback structure and SD theory -- next_steps: Recommend next modeling steps or validation tests +- next steps: Recommend next modeling steps or validation tests **Verbosity level:** medium **Tone:** professional, confident, efficient diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 6876077c..abf575fe 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -249,8 +249,8 @@ Focus on educational validation: - questions: Ask one thoughtful question before taking action - actions: Explain what you're doing and why in simple terms - results: Interpret in plain language, avoiding technical jargon -- next_steps: Ask what the user wants to explore next -- avoid_patronizing: NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive. +- next steps: Ask what the user wants to explore next +- avoid patronizing: NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive. **Verbosity level:** medium **Tone:** direct, professional, questioning - never patronizing From 6a9796d6f4ce987ed1bdc996a7d418eaede13e6f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 17:05:38 -0400 Subject: [PATCH 073/226] be more efficient about loading big stuff into the context and using files for models, and feedback json --- agent/tools/builtin/clientInteractionTools.js | 2 +- agent/tools/builtin/discussModelAcrossRuns.js | 25 +++++++++++++------ agent/tools/builtin/discussModelWithSeldon.js | 19 +++++++++++--- agent/tools/builtin/discussWithMentor.js | 18 ++++++++++--- agent/tools/builtin/fileTools.js | 5 ++-- agent/tools/builtin/generateDocumentation.js | 18 +++++++++---- agent/tools/builtin/generateLtmNarrative.js | 19 +++++++++++--- .../tools/builtin/generateQualitativeModel.js | 8 +++--- .../builtin/generateQuantitativeModel.js | 8 +++--- agent/tools/builtin/getFeedbackInformation.js | 10 ++++++-- agent/tools/builtin/largeModelTools.js | 6 +---- agent/utilities/AgentConfigurationManager.js | 5 ++++ agent/utilities/SessionManager.js | 12 ++++++--- 13 files changed, 109 insertions(+), 46 deletions(-) diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index 21467aa3..0ac10b44 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -53,7 +53,7 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien return createSuccessResponse(parsed); } - const { modelPath, message } = sessionManager.writeModelToDisk(sessionId, parsed); + const { modelPath, message } = sessionManager.updateClientModel(sessionId, parsed); return createSuccessResponse({ message, modelPath }); diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index 9026bc46..4d9cb288 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -1,5 +1,7 @@ import { z } from 'zod'; -import { SDModelSchema, FeedbackContentSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { readFileSync, existsSync } from 'fs'; +import { join } from 'path'; +import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonILEEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -12,18 +14,27 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send supportedModes: ['sfd'], inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), - model: SDModelSchema.describe('The model to discuss'), - runName: z.string().optional().describe('Simulation run ID for context'), - feedbackContent: z.union([FeedbackContentSchema, z.record(z.string(), FeedbackContentSchema)]).optional().describe('Feedback content: either a single FeedbackContentSchema or a map of runId to FeedbackContentSchema'), + runName: z.string().optional().describe('Simulation run identifier of the most recent run matching the way the behavioral content is being passed to this too.'), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), - handler: async ({ prompt, model, runName, feedbackContent, parameters }) => { + handler: async ({ prompt, runName, parameters }) => { try { - // Add feedbackContent to parameters if provided + const model = sessionManager.getClientModel(sessionId); + if (!model) { + return createErrorResponse('No model available in session'); + } + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const feedbackPath = join(sessionTempDir, 'feedback.json'); + const feedbackContent = existsSync(feedbackPath) + ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent + : undefined; + + // Add feedbackContent to parameters if available const engineParams = { ...parameters, ...(feedbackContent && { feedbackContent }) @@ -83,4 +94,4 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send } } }; -} +} \ No newline at end of file diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 05d44e88..54b558a9 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -1,5 +1,7 @@ import { z } from 'zod'; -import { SDModelSchema, FeedbackContentSchema, createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; +import { readFileSync, existsSync } from 'fs'; +import { join } from 'path'; +import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -12,16 +14,25 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send supportedModes: ['sfd', 'cld'], inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), - model: SDModelSchema.describe('The model to discuss'), - feedbackContent: FeedbackContentSchema.optional(), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), - handler: async ({ prompt, model, feedbackContent, parameters }) => { + handler: async ({ prompt, parameters }) => { try { + const model = sessionManager.getClientModel(sessionId); + if (!model) { + return createErrorResponse('No model available in session'); + } + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const feedbackPath = join(sessionTempDir, 'feedback.json'); + const feedbackContent = existsSync(feedbackPath) + ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent + : undefined; + const result = await callSeldonEngine(prompt, model, feedbackContent, parameters); if (!result.success) { diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index fe4ceba5..e2ab0f7f 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -1,5 +1,6 @@ import { z } from 'zod'; -import { SDModelSchema, FeedbackContentSchema } from '../../utilities/MessageProtocol.js'; +import { readFileSync, existsSync } from 'fs'; +import { join } from 'path'; import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -12,16 +13,25 @@ export function createDiscussWithMentorTool(sessionManager, sessionId) { supportedModes: ['sfd', 'cld'], inputSchema: z.object({ prompt: z.string().describe('The question or guidance to provide to the user'), - model: SDModelSchema.describe('The model being discussed'), - feedbackContent: FeedbackContentSchema.optional(), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), - handler: async ({ prompt, model, feedbackContent, parameters }) => { + handler: async ({ prompt, parameters }) => { try { + const model = sessionManager.getClientModel(sessionId); + if (!model) { + return createErrorResponse('No model available in session'); + } + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const feedbackPath = join(sessionTempDir, 'feedback.json'); + const feedbackContent = existsSync(feedbackPath) + ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent + : undefined; + const result = await callSeldonMentorEngine(prompt, model, feedbackContent, parameters); if (!result.success) { diff --git a/agent/tools/builtin/fileTools.js b/agent/tools/builtin/fileTools.js index 82d7288e..455567eb 100644 --- a/agent/tools/builtin/fileTools.js +++ b/agent/tools/builtin/fileTools.js @@ -65,7 +65,7 @@ Filtering options to avoid reading more than needed: export function createWriteFileTool() { return { - description: 'Write content to a file on disk, creating the file (and any parent directories) if it does not exist. Overwrites any existing content.', + description: 'Write content to a file on disk, creating the file (and any parent directories) if it does not exist. Overwrites any existing content. NEVER use this to write to model.sdjson — all model updates must go through the designated model tools.', supportedModes: ['sfd', 'cld'], nonSdkOnly: true, inputSchema: z.object({ @@ -89,7 +89,8 @@ export function createEditFileTool() { description: `Replace a string in a file with new content. By default, old_string must appear exactly once. Set replaceAll: true to replace every occurrence. -The match is exact (whitespace-sensitive). Provide enough surrounding context to make the match unique.`, +The match is exact (whitespace-sensitive). Provide enough surrounding context to make the match unique. +NEVER use this to edit model.sdjson — all model updates must go through the designated model tools.`, supportedModes: ['sfd', 'cld'], nonSdkOnly: true, inputSchema: z.object({ diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js index b57a58c7..33312eee 100644 --- a/agent/tools/builtin/generateDocumentation.js +++ b/agent/tools/builtin/generateDocumentation.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callDocumentationEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; @@ -13,14 +13,18 @@ export function createGenerateDocumentationTool(sessionManager, sessionId, sendT supportedModes: ['sfd', 'cld'], maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ - model: SDModelSchema.describe('The model to document'), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM') }).optional() }), - handler: async ({ model, parameters }) => { + handler: async ({ parameters }) => { try { + const model = sessionManager.getClientModel(sessionId); + if (!model) { + return createErrorResponse('No model available in session'); + } + const result = await callDocumentationEngine(model, parameters); if (!result.success) { @@ -50,9 +54,13 @@ export function createGenerateDocumentationTool(sessionManager, sessionId, sendT await updatePromise; + const { modelPath, message } = sessionManager.updateClientModel(sessionId, result.model); + return createSuccessResponse({ - model: result.model, - supportingInfo: result.supportingInfo + message: `Documentation generated and pushed to client. ${message}`, + modelPath, + supportingInfo: result.supportingInfo, + pushedToClient: true }); } catch (error) { return createErrorResponse(error.message); diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index fbdc97de..92ffa779 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -1,5 +1,6 @@ import { z } from 'zod'; -import { SDModelSchema, FeedbackContentSchema } from '../../utilities/MessageProtocol.js'; +import { readFileSync, existsSync } from 'fs'; +import { join } from 'path'; import { callLTMEngine } from '../../utilities/EngineWrapper.js'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; @@ -11,16 +12,26 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', supportedModes: ['sfd'], inputSchema: z.object({ - model: SDModelSchema.describe('The model to analyze'), - feedbackContent: FeedbackContentSchema, parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), behaviorContent: z.string().optional().describe('Time series behavior data') }).optional() }), - handler: async ({ model, feedbackContent, parameters }) => { + handler: async ({ parameters }) => { try { + const model = sessionManager.getClientModel(sessionId); + if (!model) { + return createErrorResponse('No model available in session'); + } + + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const feedbackPath = join(sessionTempDir, 'feedback.json'); + if (!existsSync(feedbackPath)) { + return createErrorResponse('Feedback information not available. Call get_feedback_information first.'); + } + const feedbackContent = JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent; + const result = await callLTMEngine(model, feedbackContent, parameters); if (!result.success) { diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index 0ad81f44..2b73cda1 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callQualitativeEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; @@ -14,14 +14,14 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), - currentModel: SDModelSchema.optional().describe('Existing model to build upon'), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM') }).optional() }), - handler: async ({ prompt, currentModel, parameters }) => { + handler: async ({ prompt, parameters }) => { try { + const currentModel = sessionManager.getClientModel(sessionId); const result = await callQualitativeEngine(prompt, currentModel, parameters); if (!result.success) { @@ -51,7 +51,7 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se await updatePromise; - const { modelPath, message } = sessionManager.writeModelToDisk(sessionId, result.model); + const { modelPath, message } = sessionManager.updateClientModel(sessionId, result.model); return createSuccessResponse({ message: `Model generated and pushed to client. ${message}`, diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index 093ddcb2..f7708c3d 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { SDModelSchema, createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { callQuantitativeEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; @@ -14,7 +14,6 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), - currentModel: SDModelSchema.optional().describe('Existing model to build upon'), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), @@ -22,8 +21,9 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s supportsModules: z.boolean().optional().describe('Whether client supports modules') }).optional() }), - handler: async ({ prompt, currentModel, parameters }) => { + handler: async ({ prompt, parameters }) => { try { + const currentModel = sessionManager.getClientModel(sessionId); const result = await callQuantitativeEngine(prompt, currentModel, parameters); if (!result.success) { @@ -53,7 +53,7 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s await updatePromise; - const { modelPath, message } = sessionManager.writeModelToDisk(sessionId, result.model); + const { modelPath, message } = sessionManager.updateClientModel(sessionId, result.model); return createSuccessResponse({ message: `Model generated and pushed to client. ${message}`, diff --git a/agent/tools/builtin/getFeedbackInformation.js b/agent/tools/builtin/getFeedbackInformation.js index 71fcf51f..9abf7be0 100644 --- a/agent/tools/builtin/getFeedbackInformation.js +++ b/agent/tools/builtin/getFeedbackInformation.js @@ -7,7 +7,7 @@ import { generateRequestId, createSuccessResponse, createErrorResponse } from '. */ export function createGetFeedbackInformationTool(sessionManager, sessionId, sendToClient) { return { - description: 'Request feedback loop analysis data from the client. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative to ensure feedback information is available. Provide a list of run IDs to get feedback for.', + description: 'Request feedback loop analysis data from the client and cache it for use by other tools. MUST be called before using discuss_model_with_seldon or generate_ltm_narrative. Provide a list of run IDs to get feedback for.', supportedModes: ['sfd', 'cld'], inputSchema: z.object({ runIds: z.array(z.string()).describe('List of simulation run IDs to get feedback for') @@ -40,10 +40,16 @@ export function createGetFeedbackInformationTool(sessionManager, sessionId, send const feedbackData = await resultPromise; - return createSuccessResponse({ + const { filePath } = sessionManager.writeDataToDisk(sessionId, 'feedback.json', { feedbackContent: feedbackData.feedbackContent, runIds: feedbackData.runIds }); + + return createSuccessResponse({ + message: 'Feedback information cached. Other tools will load it automatically — you do not need to read this file.', + filePath, + runIds: feedbackData.runIds + }); } catch (error) { return createErrorResponse(`Failed to get feedback information: ${error.message}`, error); } diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 60843ec0..ed9551ec 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -1,9 +1,8 @@ import { z } from 'zod'; -import { readFileSync, writeFileSync, existsSync } from 'fs'; +import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; -import logger from '../../../utilities/logger.js'; import config from '../../../config.js'; /** @@ -531,9 +530,6 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Model validation failed: model.relationships must be an array.'); } - writeFileSync(modelPath, JSON.stringify(model, null, 2)); - logger.log(`Model written to: ${modelPath}`); - const updateRequestId = generateRequestId('model'); await sendToClient(createUpdateModelMessage(sessionId, updateRequestId, model)); diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 403b48da..f52667b6 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -61,6 +61,11 @@ Instead, extract ONLY the time series data fields: - Correct: { time: result.time, Population: result.Population, Births: result.Births } - Wrong: result (includes success, runId, and other metadata) +## CRITICAL: Never Directly Edit model.sdjson +NEVER use file writing or file editing tools (write_file, edit_file) to directly modify model.sdjson. +All model changes MUST go through the designated model tools (generate_quantitative_model, generate_qualitative_model, generate_documentation, edit_model_section, etc.). +Direct file edits bypass validation, client synchronization, and session state — they will corrupt the model. + ## CRITICAL: Automatic Model Validation After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST: 1. Immediately use get_current_model to retrieve the updated model diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index c0455641..2fffda03 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -134,20 +134,24 @@ export class SessionManager { } session.mode = mode; - session.clientModel = model; session.clientTools = tools || []; session.context = context || {}; + this.updateClientModel(sessionId, model); logger.log(`Session initialized: ${sessionId} with mode=${mode} and ${tools.length} client tools`); } /** - * Update the client model reference + * Update the client model reference and persist to disk. + * Returns { modelPath, message } when the model is written. */ updateClientModel(sessionId, model) { const session = this.getSession(sessionId); if (session) { session.clientModel = model; + if (model) { + return this.#writeModelToDisk(sessionId, model); + } } } @@ -189,13 +193,13 @@ export class SessionManager { * Write a model to disk and return the LLM message describing where to find it. * Returns { modelPath, message }. */ - writeModelToDisk(sessionId, model) { + #writeModelToDisk(sessionId, model) { const sessionTempDir = this.getSessionTempDir(sessionId); const modelPath = join(sessionTempDir, 'model.sdjson'); mkdirSync(sessionTempDir, { recursive: true }); writeFileSync(modelPath, JSON.stringify(model, null, 2)); logger.log(`Model written to: ${modelPath}`); - const message = `The model has been written to disk at: ${modelPath}. Use the read_model_section tool to inspect specific sections.`; + const message = `The model has been written to disk at: ${modelPath}. Other tools will load it automatically — you do not need to read this file. Use the read_model_section tool if you need to inspect specific sections.`; return { modelPath, message }; } From 1b045d380def5dc294ed4853e9ab0c5c02d8d27e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 18:11:17 -0400 Subject: [PATCH 074/226] reduce token usage again - fix session compaction for non claude sdk --- agent/AgentOrchestrator.js | 7 +- agent/tools/builtin/toolHelpers.js | 2 +- agent/utilities/SessionManager.js | 132 ++++++++++------------------- agent/websocket.js | 2 +- config.js | 4 +- 5 files changed, 55 insertions(+), 92 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 2d81a986..f59e22e8 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -547,7 +547,7 @@ export class AgentOrchestrator { iteration++; // Summarize context in-place if it has grown over the token limit - await this.sessionManager.summarizeContextIfNeeded(this.sessionId, config.agentMaxContextTokens); + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); try { // Call Claude API @@ -778,12 +778,15 @@ export class AgentOrchestrator { }); // Add tool_result following Claude's API requirements + const resultText = Array.isArray(toolResult.content) + ? toolResult.content.filter(b => b.type === 'text').map(b => b.text).join('\n') + : toolResult.content; messages.push({ role: 'user', content: [{ type: 'tool_result', tool_use_id: block.id, - content: typeof toolResult.content === 'string' ? toolResult.content : JSON.stringify(toolResult.content), + content: resultText, is_error: toolResult.isError || false }] }); diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index 4df8736a..2afca954 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -33,7 +33,7 @@ export function generateRequestId(prefix = 'request') { * @returns {Object} Standardized success response */ export function createSuccessResponse(result) { - const text = typeof result === 'string' ? result : JSON.stringify(result, null, 2); + const text = typeof result === 'string' ? result : JSON.stringify(result); return { content: [{ type: 'text', text }], isError: false diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 2fffda03..18b31d91 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -242,7 +242,7 @@ export class SessionManager { /** * Summarize an array of messages using the LLM and return a single summary message object. - * Private — only called by summarizeContextIfNeeded and cleanupContext. + * Private — only called by #summarizeContextIfNeeded and cleanupContext. */ async #summarizeMessages(messages) { try { @@ -288,121 +288,81 @@ ${conversationText}` logger.log(`Created message history summary: ${summaryText.substring(0, 100)}...`); return { - role: 'assistant', + role: 'user', content: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` }; } catch (error) { logger.error('Error summarizing message history:', error); return { - role: 'assistant', + role: 'user', content: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' }; } } /** - * If the session's conversation context exceeds maxContextTokens, summarize the oldest messages - * in-place so the context stays within budget. Updates session state directly. + * If the session's conversation context exceeds maxContextTokens, summarize all messages + * and replace the context with [original_user_message, ...summaries]. Messages are split + * into chunks of MAX_COMPRESSION_TOKENS_PER_PASS before summarizing to handle large + * histories (e.g. on session initialization) that would exceed the LLM's input limit. */ - async summarizeContextIfNeeded(sessionId, maxContextTokens) { + async #summarizeContextIfNeeded(sessionId, maxContextTokens) { const session = this.getSession(sessionId); if (!session) return; const messages = session.conversationContext; - const MAX_PASSES = 10; + if (messages.length <= 1) return; - for (let pass = 0; pass < MAX_PASSES; pass++) { - const currentTokens = countTokens(JSON.stringify(messages)); - if (currentTokens <= maxContextTokens) break; + const currentTokens = countTokens(JSON.stringify(messages)); + if (currentTokens <= maxContextTokens) return; - logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${maxContextTokens})`); + logger.log(`Message history exceeds token limit: ${currentTokens} tokens (limit: ${maxContextTokens}), summarizing context`); - const firstMessage = messages[0]; - const firstMessageTokens = countTokens(JSON.stringify(firstMessage)); - const SUMMARY_TOKEN_ESTIMATE = 1000; - let remainingTokenBudget = maxContextTokens - firstMessageTokens - SUMMARY_TOKEN_ESTIMATE; - const keptRecentMessages = []; + const lastUserIdx = messages.findLastIndex(m => m.role === 'user'); + const lastMessage = lastUserIdx !== -1 ? messages[lastUserIdx] : null; - for (let i = messages.length - 1; i >= 1; i--) { - const messageTokens = countTokens(JSON.stringify(messages[i])); - if (remainingTokenBudget - messageTokens >= 0) { - keptRecentMessages.unshift(messages[i]); - remainingTokenBudget -= messageTokens; - } else { - break; - } - } + // If the last user message contains tool_results, also keep the preceding assistant + // message (which holds the matching tool_use blocks) to avoid orphaned tool pairs. + let tailStart = lastUserIdx !== -1 ? lastUserIdx : messages.length; + if (lastMessage && Array.isArray(lastMessage.content) && + lastMessage.content.some(b => b.type === 'tool_result') && + lastUserIdx > 0 && messages[lastUserIdx - 1]?.role === 'assistant') { + tailStart = lastUserIdx - 1; + } - if (keptRecentMessages.length >= messages.length - 1) break; - - const messagesToSummarize = messages.slice(1, messages.length - keptRecentMessages.length); - if (messagesToSummarize.length === 0) break; - - // Cap how many tokens go to the LLM in one compression call - let batchToSummarize = messagesToSummarize; - if (countTokens(JSON.stringify(batchToSummarize)) > SessionManager.MAX_COMPRESSION_TOKENS_PER_PASS) { - batchToSummarize = []; - let tokenBudget = SessionManager.MAX_COMPRESSION_TOKENS_PER_PASS; - for (const msg of messagesToSummarize) { - const msgTokens = countTokens(JSON.stringify(msg)); - if (tokenBudget - msgTokens < 0) break; - batchToSummarize.push(msg); - tokenBudget -= msgTokens; - } + const tail = messages.slice(tailStart); + const remaining = messages.slice(0, tailStart); + + // Split remaining messages into chunks that fit within the per-pass token budget + const chunks = []; + let chunk = []; + let chunkTokens = 0; + for (const msg of remaining) { + const msgTokens = countTokens(JSON.stringify(msg)); + if (chunkTokens + msgTokens > SessionManager.MAX_COMPRESSION_TOKENS_PER_PASS && chunk.length > 0) { + chunks.push(chunk); + chunk = []; + chunkTokens = 0; } + chunk.push(msg); + chunkTokens += msgTokens; + } + if (chunk.length > 0) chunks.push(chunk); - if (batchToSummarize.length === 0) break; + const summaries = await Promise.all(chunks.map(c => this.#summarizeMessages(c))); + const replacement = [...summaries, ...tail]; + messages.splice(0, messages.length, ...replacement); - const summaryMessage = await this.#summarizeMessages(batchToSummarize); - // Replace only the batch — remaining messages stay for subsequent passes - messages.splice(1, batchToSummarize.length, summaryMessage); - const newTokenCount = countTokens(JSON.stringify(messages)); - logger.log(`Summarized context: ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount})`); - } + const newTokenCount = countTokens(JSON.stringify(messages)); + logger.log(`Summarized context in ${chunks.length} chunk(s): ${messages.length} messages, ${newTokenCount} tokens (saved ${currentTokens - newTokenCount})`); } /** - * Clean up the session's conversation context: remove stale model results, then summarize if over limit. + * Clean up the session's conversation context by summarizing if over the token limit. */ async cleanupContext(sessionId, maxContextTokens) { - const session = this.getSession(sessionId); - if (!session) return; - - const messages = session.conversationContext; - if (messages.length === 0) return; - - logger.log(`Cleaning up conversation context (${messages.length} messages)`); - - const modelIndices = []; - for (let i = 0; i < messages.length; i++) { - const message = messages[i]; - if (message.role === 'user' && message.content && Array.isArray(message.content)) { - for (const content of message.content) { - if (content.type === 'tool_result' && content.content) { - try { - const parsed = JSON.parse(content.content); - if (parsed.model || parsed.variables) { - modelIndices.push(i); - break; - } - } catch (e) { - // not a model result - } - } - } - } - } - - if (modelIndices.length > 1) { - const indicesToRemove = modelIndices.slice(0, -1).sort((a, b) => b - a); - for (const index of indicesToRemove) { - messages.splice(index, 1); - } - logger.log(`Removed ${indicesToRemove.length} stale model result(s) from context`); - } - - await this.summarizeContextIfNeeded(sessionId, maxContextTokens); + await this.#summarizeContextIfNeeded(sessionId, maxContextTokens); } /** diff --git a/agent/websocket.js b/agent/websocket.js index 06e8bbd5..a8a803fe 100644 --- a/agent/websocket.js +++ b/agent/websocket.js @@ -274,7 +274,7 @@ export function handleWebSocketConnection(ws, sessionManager) { } // Compress historical messages to within the token limit - await sessionManager.summarizeContextIfNeeded(sessionId, config.agentMaxContextTokens); + await sessionManager.cleanupContext(sessionId, config.agentMaxContextTokens); logger.log(`Loaded ${message.historicalMessages.length} historical messages for session ${sessionId}`); } diff --git a/config.js b/config.js index 78deb4d4..b703fa2f 100644 --- a/config.js +++ b/config.js @@ -8,8 +8,8 @@ const config = { "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) - "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 100000, // Maximum tokens before switching to file-based editing - "agentMaxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 100000, // Maximum tokens for conversation history sent to Claude API + "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 10_000, // Maximum tokens before switching to file-based editing + "agentMaxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 50_000, // Maximum tokens for conversation history sent to Claude API "agentModel": process.env.AGENT_MODEL || 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentSummaryModel": process.env.SUMMARY_MODEL || 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models }; From bf6c91cd22164fe02841b6abaa0e84280a0e53b7 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 18:51:34 -0400 Subject: [PATCH 075/226] fixed ltm narrative tool and model tool switchover sizes --- agent/AgentOrchestrator.js | 28 +++++++++++++++++----------- config.js | 2 +- 2 files changed, 18 insertions(+), 12 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index f59e22e8..a5a3856c 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -280,6 +280,16 @@ export class AgentOrchestrator { } } + /** + * Determine the response type for a completed tool call (using stripped tool name) + */ + #getResponseType(displayName) { + if (['generate_ltm_narrative'].includes(displayName)) return 'ltm-discuss'; + if (['discuss_model_with_seldon', 'discuss_model_across_runs', 'discuss_with_mentor'].includes(displayName)) return 'discuss'; + if (['generate_quantitative_model', 'generate_qualitative_model', 'generate_documentation'].includes(displayName)) return 'model'; + return 'other'; + } + /** * Remove MCP prefix from tool names for client display */ @@ -382,13 +392,15 @@ export class AgentOrchestrator { logger.log(`Tool result received in assistant message for ${toolName} (${block.tool_use_id})`); } + const responseType = this.#getResponseType(displayName); + await this.sendToClient(createToolCallCompletedMessage( this.sessionId, block.tool_use_id, displayName, block.content, block.is_error || false, - 'other' + responseType )); this.pendingToolCalls.delete(block.tool_use_id); @@ -428,13 +440,15 @@ export class AgentOrchestrator { } } + const responseType = this.#getResponseType(displayName); + await this.sendToClient(createToolCallCompletedMessage( this.sessionId, block.tool_use_id, displayName, block.content, block.is_error || false, - 'other' + responseType )); this.pendingToolCalls.delete(block.tool_use_id); @@ -741,15 +755,7 @@ export class AgentOrchestrator { return false; // Stop processing immediately } - // Determine response type based on tool name - let responseType = 'other'; - if (['generate_ltm_narrative'].includes(block.name)) { - responseType = 'ltm-discuss'; - } else if (['discuss_model_with_seldon', 'discuss_model_across_runs', 'discuss_with_mentor'].includes(block.name)) { - responseType = 'discuss'; - } else if (['generate_quantitative_model', 'generate_qualitative_model', 'generate_documentation'].includes(block.name)) { - responseType = 'model'; - } + const responseType = this.#getResponseType(block.name); // Notify client of completion await this.sendToClient(createToolCallCompletedMessage( diff --git a/config.js b/config.js index b703fa2f..51c82294 100644 --- a/config.js +++ b/config.js @@ -8,7 +8,7 @@ const config = { "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) - "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 10_000, // Maximum tokens before switching to file-based editing + "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 50_000, // Maximum tokens before switching to file-based editing "agentMaxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 50_000, // Maximum tokens for conversation history sent to Claude API "agentModel": process.env.AGENT_MODEL || 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentSummaryModel": process.env.SUMMARY_MODEL || 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models From 5b2a17a7c288794fd2224890c22c380d35a4ade4 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 19:05:49 -0400 Subject: [PATCH 076/226] tell it about the // operator! --- agent/utilities/AgentConfigurationManager.js | 1 + 1 file changed, 1 insertion(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index f52667b6..9c32b3af 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -38,6 +38,7 @@ NEVER switch between CLD and SFD during a session. - Stocks often go negative when there is no first order control on their flows. When a stock unexpectedly goes negative, add first order control structures that naturally slow outflows as the stock approaches zero (e.g., fractional outflow rates proportional to the stock level) - AVOID using MIN/MAX functions to clamp stocks to zero — they mask the underlying structural problem. Fix the model structure instead. - Unit warnings are NOT cosmetic, they are important and MUST to be fixed +- Use // for safe division (e.g., a // b) — this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero ## CRITICAL: Visualization Requests When a user requests a visualization: From b998768f42f98952835a8dbf7348130ea1a7320d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 19:06:06 -0400 Subject: [PATCH 077/226] implement smart caching with claude to be cheaper! --- agent/AgentOrchestrator.js | 17 +++++++++++++++-- 1 file changed, 15 insertions(+), 2 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index a5a3856c..52db4818 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -534,6 +534,7 @@ export class AgentOrchestrator { const currentModel = session?.clientModel; const mode = session?.mode; let modelTokenCount = 0; + let modelSizeNotice = null; if (currentModel) { const modelJson = JSON.stringify(currentModel, null, 2); @@ -545,10 +546,17 @@ export class AgentOrchestrator { if (modelExceedsLimit) { const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; - systemPrompt += `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; + modelSizeNotice = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; } } + // Build system prompt array — stable part is cached, variable model-size notice is not + // (keeping them separate prevents the model-size notice from busting the cache on the stable prefix) + const systemBlocks = [ + { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral' } }, + ...(modelSizeNotice ? [{ type: 'text', text: modelSizeNotice }] : []) + ]; + // Convert tool servers to Anthropic tool format (with conditional filtering) const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount, mode); @@ -568,7 +576,7 @@ export class AgentOrchestrator { const response = await this.anthropic.messages.create({ model: config.agentModel, max_tokens: 8192, - system: systemPrompt, + system: systemBlocks, messages: messages, tools: tools.length > 0 ? tools : undefined }); @@ -961,6 +969,11 @@ export class AgentOrchestrator { } } + // Cache all tool definitions up to the last one — stable within a session + if (tools.length > 0) { + tools[tools.length - 1] = { ...tools[tools.length - 1], cache_control: { type: 'ephemeral' } }; + } + return tools; } From b0cdfd11d2f4a9936d70bf91a4882cd3d89f8ee4 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 28 Apr 2026 19:14:15 -0400 Subject: [PATCH 078/226] fixed session summarization tests --- .../agent/SessionManagerSummarization.test.js | 59 ++++--------------- 1 file changed, 12 insertions(+), 47 deletions(-) diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js index c98cd0fc..65c00b1c 100644 --- a/tests/agent/SessionManagerSummarization.test.js +++ b/tests/agent/SessionManagerSummarization.test.js @@ -31,9 +31,9 @@ function modelResultMessage(id) { }; } -// ─── SessionManager.summarizeContextIfNeeded ───────────────────────────────── +// ─── SessionManager.cleanupContext ───────────────────────────────── -describe('SessionManager.summarizeContextIfNeeded', () => { +describe('SessionManager.cleanupContext', () => { let sessionManager; let sessionId; @@ -51,7 +51,7 @@ describe('SessionManager.summarizeContextIfNeeded', () => { sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: 'Hi there' }); const contextBefore = [...sessionManager.getConversationContext(sessionId)]; - await sessionManager.summarizeContextIfNeeded(sessionId, 100_000); + await sessionManager.cleanupContext(sessionId, 100_000); expect(sessionManager.getConversationContext(sessionId)).toEqual(contextBefore); expect(sessionManager.anthropic.messages.create).not.toHaveBeenCalled(); @@ -63,13 +63,11 @@ describe('SessionManager.summarizeContextIfNeeded', () => { sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); } - const firstMessage = sessionManager.getConversationContext(sessionId)[0]; - await sessionManager.summarizeContextIfNeeded(sessionId, 1); + await sessionManager.cleanupContext(sessionId, 1); const context = sessionManager.getConversationContext(sessionId); - expect(context[0]).toEqual(firstMessage); - expect(context[1].role).toBe('assistant'); - expect(context[1].content).toMatch(/\[Previous conversation summary\]/); + expect(context[0].role).toBe('user'); + expect(context[0].content).toMatch(/\[Previous conversation summary\]/); expect(sessionManager.anthropic.messages.create).toHaveBeenCalled(); }); @@ -82,12 +80,12 @@ describe('SessionManager.summarizeContextIfNeeded', () => { const liveRef = sessionManager.getConversationContext(sessionId); const originalLength = liveRef.length; - await sessionManager.summarizeContextIfNeeded(sessionId, 1); + await sessionManager.cleanupContext(sessionId, 1); // splice is in-place: the same array object must be updated, not replaced expect(liveRef).toBe(sessionManager.getConversationContext(sessionId)); expect(liveRef.length).toBeLessThan(originalLength); - expect(liveRef[1].content).toMatch(/\[Previous conversation summary\]/); + expect(liveRef[0].content).toMatch(/\[Previous conversation summary\]/); }); it('uses a fallback summary message when the LLM call fails', async () => { @@ -98,15 +96,15 @@ describe('SessionManager.summarizeContextIfNeeded', () => { sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); } - await sessionManager.summarizeContextIfNeeded(sessionId, 1); + await sessionManager.cleanupContext(sessionId, 1); const context = sessionManager.getConversationContext(sessionId); - expect(context[1].content).toMatch(/condensed/); + expect(context[0].content).toMatch(/condensed/); }); it('does nothing for a non-existent session ID', async () => { await expect( - sessionManager.summarizeContextIfNeeded('non-existent-id', 1) + sessionManager.cleanupContext('non-existent-id', 1) ).resolves.toBeUndefined(); }); }); @@ -126,39 +124,6 @@ describe('SessionManager.cleanupContext', () => { afterEach(() => { sessionManager.shutdown(); }); - it('removes all but the most recent model result', async () => { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request 1' }); - sessionManager.addToConversationHistory(sessionId, modelResultMessage('r1')); - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request 2' }); - sessionManager.addToConversationHistory(sessionId, modelResultMessage('r2')); - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request 3' }); - sessionManager.addToConversationHistory(sessionId, modelResultMessage('r3')); - - await sessionManager.cleanupContext(sessionId, 100_000); - - const context = sessionManager.getConversationContext(sessionId); - const modelResults = context.filter(msg => - msg.role === 'user' && - Array.isArray(msg.content) && - msg.content.some(c => { - try { return JSON.parse(c.content)?.model !== undefined; } catch { return false; } - }) - ); - - expect(modelResults).toHaveLength(1); - expect(JSON.parse(modelResults[0].content[0].content).resultId).toBe('r3'); - }); - - it('leaves the context untouched when there is only one model result', async () => { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'request' }); - sessionManager.addToConversationHistory(sessionId, modelResultMessage('only')); - - const lengthBefore = sessionManager.getConversationContext(sessionId).length; - await sessionManager.cleanupContext(sessionId, 100_000); - - expect(sessionManager.getConversationContext(sessionId)).toHaveLength(lengthBefore); - }); - it('does nothing when context is empty', async () => { await expect( sessionManager.cleanupContext(sessionId, 100_000) @@ -241,7 +206,7 @@ describe('Agent switch - context continuity between orchestrators', () => { const fullLength = sessionManager.getConversationContext(sessionId).length; // Summarization fires during agent A's last turn - await sessionManager.summarizeContextIfNeeded(sessionId, 1); + await sessionManager.cleanupContext(sessionId, 1); // websocket.js captures context and creates agent B const capturedOnSwitch = sessionManager.getConversationContext(sessionId); From b12100203f613f36959fc2d2ec41bd21bb98cdec Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 07:47:50 -0400 Subject: [PATCH 079/226] improve visualization engine prompting --- agent/utilities/AgentConfigurationManager.js | 20 +++++++++++++++----- agent/utilities/VisualizationEngine.js | 16 +++++++++++++++- 2 files changed, 30 insertions(+), 6 deletions(-) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 9c32b3af..179e500d 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -36,9 +36,9 @@ NEVER switch between CLD and SFD during a session. - ALWAYS check that stocks and variables that represent physical quantities (population, inventory, resources, etc.) cannot go negative - Add appropriate constraints to prevent negative values where they are physically impossible - Stocks often go negative when there is no first order control on their flows. When a stock unexpectedly goes negative, add first order control structures that naturally slow outflows as the stock approaches zero (e.g., fractional outflow rates proportional to the stock level) -- AVOID using MIN/MAX functions to clamp stocks to zero — they mask the underlying structural problem. Fix the model structure instead. +- AVOID using MIN/MAX functions to clamp stocks to zero - they mask the underlying structural problem. Fix the model structure instead. - Unit warnings are NOT cosmetic, they are important and MUST to be fixed -- Use // for safe division (e.g., a // b) — this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero +- Use // for safe division (e.g., a // b) - this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero ## CRITICAL: Visualization Requests When a user requests a visualization: @@ -65,7 +65,7 @@ Instead, extract ONLY the time series data fields: ## CRITICAL: Never Directly Edit model.sdjson NEVER use file writing or file editing tools (write_file, edit_file) to directly modify model.sdjson. All model changes MUST go through the designated model tools (generate_quantitative_model, generate_qualitative_model, generate_documentation, edit_model_section, etc.). -Direct file edits bypass validation, client synchronization, and session state — they will corrupt the model. +Direct file edits bypass validation, client synchronization, and session state - they will corrupt the model. ## CRITICAL: Automatic Model Validation After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST: @@ -118,7 +118,7 @@ Consider consulting Seldon when facing complex modeling decisions or when you ne ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements. ## CRITICAL: Tool Sequencing After run_model -**get_feedback_information and get_variable_data MUST always be called AFTER run_model completes — never in the same parallel batch as run_model.** +**get_feedback_information and get_variable_data MUST always be called AFTER run_model completes - never in the same parallel batch as run_model.** run_model produces the data these tools depend on. Always wait for run_model to finish before calling them. ## CRITICAL: Feedback Information Recovery Protocol @@ -128,7 +128,17 @@ When feedback analysis tools fail due to missing feedback information: 3. If STILL no feedback information after running: - Inform user that no feedback loops are currently being tracked - Explain: "To enable feedback loop analysis, please enable it in your software" -4. NEVER give up after first failure - always attempt to run model first`; +4. NEVER give up after first failure - always attempt to run model first + +## Feedback Loop Dominance Visualization Style +When asked to visualize feedback loop dominance alongside a variable's behavior, use colored background bands (ax.axvspan) keyed to the dominant loop in each period - **NOT** a stacked area chart of loop percentages. + +- Source band periods from the dominantLoopsByPeriod field returned by get_feedback_information, not from the per-timestep percentage series +- dominantLoopsByPeriod gives discrete start/end time windows with the set of dominant loops for that window - draw one axvspan per period, colored by the primary (first listed) dominant loop +- Draw bands at zorder=0; draw the variable of interest (e.g. a stock) as a line at zorder=3+ so it is always readable against the background + +Reserve the feedback_dominance visualization type (stacked area) for when the user explicitly wants the quantitative percentage breakdown of loop contributions over time. For all other requests involving dominant loops and a behavior variable together, use the colored band approach. +`; constructor(configPath) { this.configPath = configPath; diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 3f1da730..a70f0dab 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -176,7 +176,21 @@ Requirements: - Load JSON data and create the visualization - Save as SVG using plt.savefig with format='svg' - Include labels, titles, legends -- Make it clear and professional`; +- Make it clear and professional + +Data handling: +- Hardcode all data values as Python literals inside the code — do NOT read values from the data file at runtime unless explicitly needed; hardcoded literals are more reliable + +Matplotlib rules — these are known sources of errors, follow them exactly: +- Never pass fontweight to ax.plot() or ax.scatter() — it is not a valid kwarg for Line2D or PathCollection +- ax.annotate ha= only accepts 'left', 'right', 'center' — never 'top' or 'bottom' +- ax.annotate va= accepts 'top', 'bottom', 'center', 'baseline' — never 'left' or 'right' +- Use fig.subplots_adjust() instead of plt.tight_layout() + +Composing multiple chart types (background bands + line overlay, stacked area + secondary axis, etc.): +- Draw background period bands with ax.axvspan(zorder=0, linewidth=0) +- Draw overlaid lines at zorder=3 or higher +- Build legends manually using matplotlib.patches.Patch and matplotlib.lines.Line2D rather than relying on automatic label collection`; const userPrompt = `Generate Python code for this visualization: From 8c0135f942bdc99822347bc37b8416efb292d878 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 09:16:27 -0400 Subject: [PATCH 080/226] Application setup to sandbox with bubblewrap --- README.md | 28 ++ agent/AgentWorker.js | 167 +++++++ agent/WebSocket.js | 424 ++++++++++++++++++ agent/WorkerSpawner.js | 144 ++++++ agent/utilities/SANDBOX_SECURITY.md | 179 -------- agent/utilities/SessionManager.js | 45 +- agent/utilities/VisualizationEngine.js | 59 +-- agent/utilities/python_sandbox.sh | 184 -------- agent/utilities/python_sandbox_windows.bat | 152 ------- agent/websocket.js | 486 --------------------- app.js | 4 +- tests/agent/AgentWorker.test.js | 382 ++++++++++++++++ tests/agent/WorkerSpawner.test.js | 195 +++++++++ tests/agent/sandbox.test.js | 380 ---------------- 14 files changed, 1397 insertions(+), 1432 deletions(-) create mode 100644 agent/AgentWorker.js create mode 100644 agent/WebSocket.js create mode 100644 agent/WorkerSpawner.js delete mode 100644 agent/utilities/SANDBOX_SECURITY.md delete mode 100755 agent/utilities/python_sandbox.sh delete mode 100644 agent/utilities/python_sandbox_windows.bat delete mode 100644 agent/websocket.js create mode 100644 tests/agent/AgentWorker.test.js create mode 100644 tests/agent/WorkerSpawner.test.js delete mode 100644 tests/agent/sandbox.test.js diff --git a/README.md b/README.md index 85963fe8..240d122d 100644 --- a/README.md +++ b/README.md @@ -246,6 +246,34 @@ Available component names and what they affect: | `time-series-behavior-analysis` | Breaks evals | | `visualization-engine` | Breaks agentic tools | +## Agent Sandbox (Production Linux Only) + +The agentic assistant runs each session's agent in an isolated worker process. On **Linux**, worker processes are sandboxed using [bubblewrap](https://github.com/containers/bubblewrap) (`bwrap`), which uses Linux kernel namespaces to confine the agent to its session-specific temp directory. The agent cannot read or write anywhere else on the server filesystem — including other sessions, application source code, or environment variables on disk. + +### Installing bubblewrap + +Install `bubblewrap` via your system package manager (`bubblewrap` on most distros). See the [bubblewrap releases page](https://github.com/containers/bubblewrap/releases) for more options. + +### What bwrap provides + +| Isolation | Guarantee | +|---|---| +| Filesystem writes | Agent can only write to its session temp dir | +| Filesystem reads | Only app code, system libs, and TLS certs are visible | +| Cross-session access | Other sessions' temp dirs are not mounted | +| Process isolation | Separate PID namespace; agent cannot signal other processes | +| Hostname isolation | Separate UTS namespace | + +The Python subprocess spawned for visualizations inherits the same bwrap namespace automatically — no separate Python-level sandbox is needed. + +### Development (macOS / Windows) + +`bwrap` is a Linux kernel feature and is not available on macOS or Windows. On those platforms the agent worker runs **unsandboxed** with full filesystem access. A prominent warning is logged at startup. This is acceptable for local development but **must not be used for any publicly hosted deployment**. + +### What bwrap does NOT restrict + +- **Network access** — the agent worker must reach the Anthropic API. The agent can make arbitrary outbound HTTP requests if prompted to do so. Restrict this at the network/firewall level if needed. + ## Metrics Reporting SD-AI includes optional metrics reporting via the `GenerateMetricsReporter` class. When enabled, it automatically tracks and reports usage data for every engine generation request. diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js new file mode 100644 index 00000000..f9a17911 --- /dev/null +++ b/agent/AgentWorker.js @@ -0,0 +1,167 @@ +/** + * Agent Worker Process + * + * Runs inside a bwrap sandbox on Linux (or unsandboxed on dev platforms). + * Receives IPC messages from the main process, runs AgentOrchestrator, and + * relays all outbound client messages back over IPC. + * + * IPC messages IN (main → worker): + * initialize – session data; must arrive before select_agent + * select_agent – agentId; creates/replaces AgentOrchestrator + * chat – user message; starts an agent conversation + * stop – abort the current agent iteration + * tool_response – callId + result; resolves a pending client tool promise + * model_updated – new client model object + * get_context – requestId; worker replies with current conversation history + * shutdown – clean exit + * + * IPC messages OUT (worker → main): + * to_client – relay to the WebSocket client verbatim + * context_response – reply to get_context + * worker_error – unhandled top-level error + */ + +import { AgentOrchestrator } from './AgentOrchestrator.js'; +import { SessionManager } from './utilities/SessionManager.js'; +import logger from '../utilities/logger.js'; +import { join } from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); + +const SESSION_ID = process.env.SESSION_ID; +const SESSION_TEMP_DIR = process.env.SESSION_TEMP_DIR; + +if (!SESSION_ID || !SESSION_TEMP_DIR) { + process.stderr.write('AgentWorker: SESSION_ID and SESSION_TEMP_DIR must be set\n'); + process.exit(1); +} + +class AgentWorker { + // Mock WebSocket: SessionManager stores a ws-shaped object, but in the worker + // all real sends go through toClient() which is passed directly to AgentOrchestrator. + #mockWs = { readyState: 1, send: () => {} }; + + // Worker has its own SessionManager. Cleanup timers are disabled — lifetime is + // managed by the main process which kills this process on disconnect/timeout. + #sessionManager = new SessionManager({ disableCleanup: true }); + + #orchestrator = null; + + // Set on first chat after an agent switch so AgentOrchestrator can bridge context + // from the previous agent into the new session. + #pendingIsAgentSwitch = false; + + constructor() { + process.on('message', (msg) => this.#handleMessage(msg)); + + process.on('uncaughtException', (err) => { + logger.error(`[worker:${SESSION_ID}] Uncaught exception:`, err); + this.#toMain({ type: 'worker_error', error: err.message }); + }); + + process.on('unhandledRejection', (reason) => { + logger.error(`[worker:${SESSION_ID}] Unhandled rejection:`, reason); + this.#toMain({ type: 'worker_error', error: String(reason) }); + }); + } + + #toMain(msg) { process.send(msg); } + #toClient(msg) { this.#toMain({ type: 'to_client', message: msg }); } + + async #handleMessage(msg) { + try { + switch (msg.type) { + + case 'initialize': { + this.#sessionManager.createSessionWithId(SESSION_ID, this.#mockWs, SESSION_TEMP_DIR); + this.#sessionManager.initializeSession(SESSION_ID, msg.mode, msg.model, msg.tools, msg.context); + for (const h of (msg.conversationHistory || [])) { + this.#sessionManager.addToConversationHistory(SESSION_ID, h); + } + this.#pendingIsAgentSwitch = msg.isAgentSwitch ?? false; + break; + } + + case 'select_agent': { + const configPath = join(__dirname, 'config', `${msg.agentId}.md`); + this.#orchestrator = new AgentOrchestrator(this.#sessionManager, SESSION_ID, (m) => this.#toClient(m), configPath); + break; + } + + case 'chat': { + if (!this.#orchestrator) { + this.#toClient({ type: 'error', sessionId: SESSION_ID, error: 'No agent selected', code: 'NO_AGENT' }); + break; + } + // When switching agents, pass the live session context reference so that + // AgentOrchestrator's manual-mode pop() correctly modifies the session history. + const previousContext = this.#pendingIsAgentSwitch + ? this.#sessionManager.getConversationContext(SESSION_ID) + : null; + this.#pendingIsAgentSwitch = false; + await this.#orchestrator.startConversation(msg.message, previousContext); + break; + } + + case 'stop': { + this.#orchestrator?.stopIteration(); + break; + } + + case 'tool_response': { + const { callId, result, isError } = msg; + const session = this.#sessionManager.getSession(SESSION_ID); + if (!session) break; + + // Try the standard pending tool calls (DynamicToolProvider) + if (!this.#sessionManager.resolvePendingToolCall(SESSION_ID, callId, result, isError)) { + // Try feedback requests (discussModelWithSeldon, discussModelAcrossRuns, getFeedbackInformation) + if (session.pendingFeedbackRequests?.has(callId)) { + const pending = session.pendingFeedbackRequests.get(callId); + clearTimeout(pending.timeout); + isError ? pending.reject(new Error(result)) : pending.resolve(result); + session.pendingFeedbackRequests.delete(callId); + // Try model requests (clientInteractionTools, generateQuantitativeModel, etc.) + } else if (session.pendingModelRequests?.has(callId)) { + const pending = session.pendingModelRequests.get(callId); + clearTimeout(pending.timeout); + isError ? pending.reject(new Error(result)) : pending.resolve(result); + session.pendingModelRequests.delete(callId); + } else { + logger.warn(`[worker:${SESSION_ID}] Unknown callId in tool_response: ${callId}`); + } + } + break; + } + + case 'model_updated': { + this.#sessionManager.updateClientModel(SESSION_ID, msg.model); + break; + } + + case 'get_context': { + const context = this.#sessionManager.getConversationContext(SESSION_ID); + this.#toMain({ type: 'context_response', requestId: msg.requestId, context }); + break; + } + + case 'shutdown': { + const session = this.#sessionManager.getSession(SESSION_ID); + if (session) this.#sessionManager.deleteSession(SESSION_ID); + process.exit(0); + break; + } + + default: + logger.warn(`[worker:${SESSION_ID}] Unknown IPC message type: ${msg.type}`); + } + } catch (err) { + logger.error(`[worker:${SESSION_ID}] Unhandled error processing ${msg.type}:`, err); + this.#toMain({ type: 'worker_error', error: err.message }); + } + } +} + +new AgentWorker(); diff --git a/agent/WebSocket.js b/agent/WebSocket.js new file mode 100644 index 00000000..884f2b4b --- /dev/null +++ b/agent/WebSocket.js @@ -0,0 +1,424 @@ +import { WorkerSpawner } from './WorkerSpawner.js'; +import { + validateClientMessage, + createSessionCreatedMessage, + createSessionReadyMessage, + createAgentSelectedMessage, + createAgentTextMessage, + createErrorMessage +} from './utilities/MessageProtocol.js'; +import { join } from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; +import { readdirSync, readFileSync } from 'fs'; +import logger from '../utilities/logger.js'; +import utils from '../utilities/utils.js'; +import config from '../config.js'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); + +function parseFrontmatter(content) { + const frontmatterRegex = /^---\n([\s\S]*?)\n---/; + const match = content.match(frontmatterRegex); + if (!match) return {}; + + const metadata = {}; + const lines = match[1].split('\n'); + let currentArray = null; + + for (const line of lines) { + const trimmed = line.trim(); + if (!trimmed) continue; + + if (trimmed.startsWith('- ') && currentArray) { + currentArray.push(trimmed.substring(2).trim()); + } else if (trimmed.includes(':')) { + const colonIndex = trimmed.indexOf(':'); + const key = trimmed.substring(0, colonIndex).trim(); + const value = trimmed.substring(colonIndex + 1).trim(); + + if (value === '') { + currentArray = []; + metadata[key] = currentArray; + } else { + let parsedValue = value.replace(/^["']|["']$/g, ''); + if (!isNaN(parsedValue) && parsedValue !== '') parsedValue = Number(parsedValue); + metadata[key] = parsedValue; + currentArray = null; + } + } + } + + return metadata; +} + +function getAvailableAgents() { + const configDir = join(__dirname, 'config'); + const agents = []; + + try { + const files = readdirSync(configDir).filter(f => f.endsWith('.md')); + + for (const file of files) { + try { + const content = readFileSync(join(configDir, file), 'utf8'); + const metadata = parseFrontmatter(content); + + if (metadata?.name) { + agents.push({ + id: file.replace('.md', ''), + name: metadata.name || file.replace('.md', ''), + role: metadata.role || 'Agent', + supportedModes: metadata.supported_modes || [], + description: metadata.description || '' + }); + } + } catch (err) { + logger.warn(`Failed to load agent config from ${file}:`, err.message); + } + } + } catch (err) { + logger.error('Failed to scan agent config directory:', err); + } + + // Hardcoded defaults - socrates is the default agent for all model types + const defaults = { + sfd: 'socrates', + cld: 'socrates' + }; + + return { agents, defaults }; +} + +export class WebSocketHandler { + #ws; + #sessionManager; + #sessionId = null; + #worker = null; + // True on the first chat message after a select_agent — tells worker to bridge context + #pendingAgentSwitch = false; + + constructor(ws, sessionManager) { + this.#ws = ws; + this.#sessionManager = sessionManager; + this.#setup(); + } + + #setup() { + try { + this.#sessionId = this.#sessionManager.createSession(this.#ws); + this.#ws.send(JSON.stringify(createSessionCreatedMessage(this.#sessionId))); + logger.log(`WebSocket connected: ${this.#sessionId}`); + } catch (error) { + logger.error('Failed to create session:', error); + this.#ws.close(1011, error.message); + return; + } + + this.#ws.on('message', (data) => this.#onMessage(data)); + this.#ws.on('close', (code, reason) => this.#onClose(code, reason)); + this.#ws.on('error', (error) => this.#onError(error)); + } + + async #sendToClient(message) { + if (this.#ws.readyState === 1) { + this.#ws.send(JSON.stringify(message)); + } + } + + async #onMessage(data) { + try { + const rawMessage = JSON.parse(data.toString()); + const validation = validateClientMessage(rawMessage); + if (!validation.success) { + await this.#sendToClient(createErrorMessage(this.#sessionId, `Invalid message: ${validation.error}`, 'INVALID_MESSAGE')); + return; + } + + const message = validation.data; + + switch (message.type) { + case 'initialize_session': + await this.#handleInitializeSession(message); + break; + case 'select_agent': + await this.#handleSelectAgent(message); + break; + case 'chat': + await this.#handleChat(message); + break; + case 'tool_call_response': + await this.#handleToolCallResponse(message); + break; + case 'model_updated_notification': + await this.#handleModelUpdated(message); + break; + case 'stop_iteration': + await this.#handleStopIteration(message); + break; + case 'disconnect': + this.#killWorker(); + this.#sessionManager.deleteSession(this.#sessionId); + this.#ws.close(1000, 'Client requested disconnect'); + break; + default: + await this.#sendToClient(createErrorMessage(this.#sessionId, `Unknown message type: ${message.type}`, 'UNKNOWN_MESSAGE_TYPE')); + } + } catch (error) { + logger.error(`Error handling message for session ${this.#sessionId}:`, error); + await this.#sendToClient(createErrorMessage(this.#sessionId, error.message, 'MESSAGE_PROCESSING_ERROR')); + } + } + + async #handleInitializeSession(message) { + try { + const authenticationKey = process.env.AUTHENTICATION_KEY; + if (authenticationKey) { + if (message.authenticationKey !== authenticationKey) { + this.#ws.close(1008, 'Unauthorized, please pass valid Authentication key.'); + return; + } + } + + if (!utils.supportedPlatform(message.clientProduct, message.clientVersion)) { + this.#ws.close(1008, 'Your client application is not currently supported.'); + return; + } + + if (!message.mode || !['cld', 'sfd'].includes(message.mode)) { + throw new Error('Invalid or missing mode. Must be "cld" or "sfd".'); + } + + this.#sessionManager.initializeSession(this.#sessionId, message.mode, message.model, message.tools, message.context); + + if (message.historicalMessages && message.historicalMessages.length > 0) { + for (const histMsg of message.historicalMessages) { + let role = 'assistant'; + let content = ''; + + switch (histMsg.type) { + case 'user_text': + role = 'user'; + content = histMsg.content || ''; + break; + case 'agent_text': + case 'agent_complete': + role = 'assistant'; + content = histMsg.content || ''; + break; + case 'visualization': + role = 'assistant'; + content = `[Created visualization: ${histMsg.visualizationTitle || 'Untitled'}]`; + if (histMsg.visualizationDescription) content += ` ${histMsg.visualizationDescription}`; + break; + } + + if (content) { + this.#sessionManager.addToConversationHistory(this.#sessionId, { role, content }); + } + } + + await this.#sessionManager.cleanupContext(this.#sessionId, config.agentMaxContextTokens); + logger.log(`Loaded ${message.historicalMessages.length} historical messages for session ${this.#sessionId}`); + } + + const { agents, defaults } = getAvailableAgents(); + await this.#sendToClient(createSessionReadyMessage(this.#sessionId, agents, defaults)); + logger.log(`Session initialized: ${this.#sessionId}`); + } catch (error) { + logger.error(`Failed to initialize session ${this.#sessionId}:`, error); + await this.#sendToClient(createErrorMessage(this.#sessionId, `Initialization failed: ${error.message}`, 'INITIALIZATION_ERROR')); + } + } + + async #handleSelectAgent(message) { + try { + const { agents } = getAvailableAgents(); + const selectedAgent = agents.find(agent => agent.id === message.agentId); + + if (!selectedAgent) { + throw new Error(`Agent '${message.agentId}' not found. Available agents: ${agents.map(a => a.id).join(', ')}`); + } + + const isSwitching = this.#worker !== null; + + // When switching agents, ask the running worker for its current conversation + // history so the new worker can bridge context across the handoff. + let conversationHistory = this.#sessionManager.getConversationContext(this.#sessionId); + if (isSwitching) { + try { + conversationHistory = await this.#getWorkerContext(this.#worker); + } catch (err) { + logger.warn(`[session:${this.#sessionId}] Could not retrieve context from old worker: ${err.message}`); + } + this.#killWorker(); + } + + const tempDir = this.#sessionManager.getSessionTempDir(this.#sessionId); + this.#worker = WorkerSpawner.spawn(this.#sessionId, tempDir); + this.#setupWorkerRelay(this.#worker); + + const session = this.#sessionManager.getSession(this.#sessionId); + this.#worker.send({ + type: 'initialize', + mode: session.mode, + model: session.clientModel, + tools: session.clientTools, + context: session.context, + conversationHistory, + isAgentSwitch: isSwitching, + }); + + this.#worker.send({ type: 'select_agent', agentId: message.agentId }); + this.#pendingAgentSwitch = isSwitching; + + await this.#sendToClient(createAgentSelectedMessage(this.#sessionId, selectedAgent.id, selectedAgent.name)); + if (isSwitching) { + await this.#sendToClient(createAgentTextMessage(this.#sessionId, `I've switched to ${selectedAgent.name}. How can I help you?`, false)); + logger.log(`Agent switched to: ${message.agentId} for session ${this.#sessionId}`); + } else { + await this.#sendToClient(createAgentTextMessage(this.#sessionId, 'What can I do for you today?', false)); + logger.log(`Agent selected: ${message.agentId} for session ${this.#sessionId}`); + } + } catch (error) { + logger.error(`Failed to select agent for session ${this.#sessionId}:`, error); + await this.#sendToClient(createErrorMessage(this.#sessionId, `Agent selection failed: ${error.message}`, 'AGENT_SELECTION_ERROR')); + } + } + + async #handleChat(message) { + try { + if (!this.#worker) { + throw new Error('No agent selected. Send select_agent first.'); + } + this.#worker.send({ type: 'chat', message: message.message }); + // isAgentSwitch flag is carried in the worker's own pendingIsAgentSwitch state, + // set during initialize — no need to pass it again here. + this.#pendingAgentSwitch = false; + } catch (error) { + logger.error(`Error in chat for session ${this.#sessionId}:`, error); + await this.#sendToClient(createErrorMessage(this.#sessionId, error.message, 'CHAT_ERROR')); + } + } + + // Forward to worker which owns all pending promise maps + async #handleToolCallResponse(message) { + try { + if (!this.#worker) { + logger.warn(`Received tool_call_response for ${message.callId} but no worker is running`); + return; + } + this.#worker.send({ + type: 'tool_response', + callId: message.callId, + result: message.result, + isError: message.isError, + }); + } catch (error) { + logger.error(`Error forwarding tool response for session ${this.#sessionId}:`, error); + await this.#sendToClient(createErrorMessage(this.#sessionId, error.message, 'TOOL_RESPONSE_ERROR')); + } + } + + async #handleModelUpdated(message) { + try { + // Keep main-process SessionManager in sync (used to initialize new workers on agent switch) + this.#sessionManager.updateClientModel(this.#sessionId, message.model); + // Forward to worker so AgentOrchestrator sees the updated model token count + this.#worker?.send({ type: 'model_updated', model: message.model }); + logger.log(`Model updated for session ${this.#sessionId}: ${message.changeReason}`); + } catch (error) { + logger.error(`Error updating model for session ${this.#sessionId}:`, error); + } + } + + async #handleStopIteration() { + try { + if (!this.#worker) { + throw new Error('No active agent to stop'); + } + logger.log(`Stop iteration requested for session ${this.#sessionId}`); + this.#worker.send({ type: 'stop' }); + } catch (error) { + logger.error(`Error stopping iteration for session ${this.#sessionId}:`, error); + await this.#sendToClient(createErrorMessage(this.#sessionId, error.message, 'STOP_ITERATION_ERROR')); + } + } + + #onClose(code, reason) { + logger.log(`WebSocket closed: ${this.#sessionId} (code: ${code}, reason: ${reason})`); + if (this.#sessionId) { + this.#killWorker(); + this.#sessionManager.deleteSession(this.#sessionId); + } + } + + #onError(error) { + logger.error(`WebSocket error for session ${this.#sessionId}:`, error); + if (this.#sessionId) { + this.#killWorker(); + this.#sessionManager.deleteSession(this.#sessionId); + } + } + + #killWorker() { + if (this.#worker) { + this.#worker.send({ type: 'shutdown' }); + // Give it a moment to exit cleanly; force-kill if it doesn't + const w = this.#worker; + const t = setTimeout(() => w.kill('SIGKILL'), 2000); + this.#worker.once('exit', () => clearTimeout(t)); + this.#worker = null; + } + } + + /** + * Wire up the IPC relay for a freshly spawned worker. + * - Forwards all to_client messages to the WebSocket. + * - Logs worker stdout/stderr. + * - Cleans up on unexpected exit. + */ + #setupWorkerRelay(w) { + w.on('message', async (msg) => { + if (msg.type === 'to_client') { + if (this.#ws.readyState === 1) this.#ws.send(JSON.stringify(msg.message)); + } else if (msg.type === 'worker_error') { + logger.error(`[worker:${this.#sessionId}] ${msg.error}`); + } + // context_response is handled inside #getWorkerContext via its own listener + }); + + w.stdout?.on('data', (d) => logger.log(`[worker:${this.#sessionId}] ${d.toString().trim()}`)); + w.stderr?.on('data', (d) => logger.error(`[worker:${this.#sessionId}] ${d.toString().trim()}`)); + + w.on('exit', (code, signal) => { + logger.log(`[worker:${this.#sessionId}] exited (code=${code} signal=${signal})`); + if (this.#worker === w) this.#worker = null; + }); + } + + /** + * Ask a running worker for its current conversation context. + * Returns a promise that resolves with the history array. + */ + #getWorkerContext(w) { + return new Promise((resolve, reject) => { + const requestId = `ctx_${Date.now()}_${Math.random().toString(36).slice(2)}`; + const timeout = setTimeout(() => { + w.off('message', handler); + reject(new Error('Context request timed out')); + }, 5000); + + function handler(msg) { + if (msg.type === 'context_response' && msg.requestId === requestId) { + clearTimeout(timeout); + w.off('message', handler); + resolve(msg.context); + } + } + + w.on('message', handler); + w.send({ type: 'get_context', requestId }); + }); + } +} diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js new file mode 100644 index 00000000..291e71c6 --- /dev/null +++ b/agent/WorkerSpawner.js @@ -0,0 +1,144 @@ +import { spawn, fork } from 'child_process'; +import { existsSync } from 'fs'; +import { fileURLToPath } from 'url'; +import { dirname, join } from 'path'; +import { execSync } from 'child_process'; +import logger from '../utilities/logger.js'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const APP_ROOT = dirname(__dirname); // sd-ai root (parent of agent/) + +export class WorkerSpawner { + static CONTAINER_SESSION_PATH = '/session'; + static #WORKER_PATH = join(__dirname, 'AgentWorker.js'); + + static #findBinary(name) { + try { return execSync(`which ${name}`, { encoding: 'utf8' }).trim(); } + catch { return null; } + } + + /** + * Build bwrap argument list for a sandboxed worker process. + * + * Mount strategy: + * - /usr (+ /lib, /lib64 if present): Node.js runtime + system libraries (read-only) + * - /etc/ssl, /etc/resolv.conf, /etc/hosts: TLS certs + DNS for Anthropic API (read-only) + * - APP_ROOT → /app: application code including node_modules (read-only) + * - Node binary dir (if outside /usr, e.g. nvm): additional read-only bind + * - Claude binary dir (if outside /usr): additional read-only bind + * - sessionTempDir → /session: the ONLY writable location + * - /dev, /proc: required pseudo-filesystems for Node.js + * - /tmp: tmpfs (ephemeral scratch, not writable by agent since all writes go to /session) + * - --forward-fd 3: preserve the Node.js IPC socket fd across the exec boundary + */ + static #buildBwrapArgs(sessionTempDir) { + const nodeBin = process.execPath; + const nodeBinDir = dirname(nodeBin); + const claudeBin = WorkerSpawner.#findBinary('claude'); + + const args = [ + '--ro-bind', '/usr', '/usr', + ]; + + for (const lib of ['/lib', '/lib64', '/lib/x86_64-linux-gnu', '/lib/aarch64-linux-gnu']) { + if (existsSync(lib)) args.push('--ro-bind', lib, lib); + } + + for (const path of ['/etc/ssl', '/etc/resolv.conf', '/etc/hosts', '/etc/nsswitch.conf', '/etc/gai.conf']) { + if (existsSync(path)) args.push('--ro-bind', path, path); + } + + args.push('--ro-bind', APP_ROOT, '/app'); + + if (!nodeBin.startsWith('/usr/')) { + const parts = nodeBinDir.split('/').filter(Boolean); + for (let i = 1; i <= parts.length; i++) { + args.push('--dir', '/' + parts.slice(0, i).join('/')); + } + args.push('--ro-bind', nodeBinDir, nodeBinDir); + } + + if (claudeBin && !claudeBin.startsWith('/usr/')) { + const claudeDir = dirname(claudeBin); + const parts = claudeDir.split('/').filter(Boolean); + for (let i = 1; i <= parts.length; i++) { + args.push('--dir', '/' + parts.slice(0, i).join('/')); + } + args.push('--ro-bind', claudeDir, claudeDir); + } + + args.push( + '--bind', sessionTempDir, WorkerSpawner.CONTAINER_SESSION_PATH, + '--dev', '/dev', + '--proc', '/proc', + '--tmpfs', '/tmp', + '--unshare-pid', + '--unshare-uts', '--hostname', 'agent', + // Forward the Node.js IPC socket fd (always fd 3 with stdio: [..., 'ipc']) + '--forward-fd', '3', + '--', + nodeBin, + '/app/agent/AgentWorker.js' + ); + + return args; + } + + /** + * Spawn a sandboxed agent worker process for the given session. + * + * On Linux with bwrap installed: runs inside a bubblewrap container where + * only the session temp dir is writable and most of the filesystem is + * either read-only or not mounted at all. + * + * On Linux without bwrap, macOS, or Windows: falls back to a plain fork + * with a prominent warning. Use Linux + bwrap for any publicly hosted + * deployment. + * + * Returns a ChildProcess with an active IPC channel (.send() / on('message')). + */ + static spawn(sessionId, sessionTempDir) { + if (process.platform === 'linux') { + const bwrapBin = WorkerSpawner.#findBinary('bwrap'); + if (bwrapBin) { + logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap`); + const workerEnv = { + OPENAI_API_KEY: process.env.OPENAI_API_KEY, + GOOGLE_API_KEY: process.env.GOOGLE_API_KEY, + ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY, + SESSION_ID: sessionId, + SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, + PATH: process.env.PATH, + // NODE_CHANNEL_FD is injected automatically by Node.js for the ipc stdio slot + }; + return spawn(bwrapBin, WorkerSpawner.#buildBwrapArgs(sessionTempDir), { + env: workerEnv, + stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + }); + } + logger.error( + '================================================================================\n' + + 'SECURITY WARNING: bwrap (bubblewrap) not found on Linux!\n' + + 'Agent workers will run WITHOUT filesystem sandbox isolation.\n' + + 'Install bubblewrap to enable sandboxing: apt install bubblewrap\n' + + 'DO NOT run this configuration for any publicly hosted service.\n' + + '================================================================================' + ); + } else { + logger.warn( + '================================================================================\n' + + `SECURITY WARNING: Running on ${process.platform} — bwrap sandboxing is unavailable.\n` + + 'Agent workers can read and write the ENTIRE server filesystem.\n' + + 'This configuration is for LOCAL DEVELOPMENT ONLY.\n' + + 'Deploy on Linux with bubblewrap installed for any hosted environment.\n' + + '================================================================================' + ); + } + + // Unsandboxed fallback: plain fork, inherits full environment + return fork(WorkerSpawner.#WORKER_PATH, [], { + env: { ...process.env, SESSION_ID: sessionId, SESSION_TEMP_DIR: sessionTempDir }, + stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + }); + } +} diff --git a/agent/utilities/SANDBOX_SECURITY.md b/agent/utilities/SANDBOX_SECURITY.md deleted file mode 100644 index 06a14dbf..00000000 --- a/agent/utilities/SANDBOX_SECURITY.md +++ /dev/null @@ -1,179 +0,0 @@ -# Python Sandbox Security - -This document describes the security implementation for Python script execution in the VisualizationEngine. - -## Overview - -The VisualizationEngine executes user-generated and AI-generated Python code to create matplotlib visualizations. To prevent security vulnerabilities, all Python execution is sandboxed at the OS level. - -## Security Guarantees - -### What is Protected - -- **Write Operations**: Python scripts cannot write files outside their session directory -- **File Deletion**: Scripts cannot delete files outside their session directory -- **Directory Creation**: Scripts cannot create directories outside their session directory -- **Subprocess Execution**: All subprocess/shell command execution is blocked -- **Network Access**: Network modules (urllib, requests, etc.) are blocked from import -- **Path Traversal**: `../../../` style attacks are prevented -- **Symlink Escapes**: Symbolic links cannot be used to escape the sandbox - -### What is Allowed - -- **Reading Files**: Scripts can read system libraries (needed for matplotlib, numpy, etc.) -- **Writing in Sandbox**: Full read/write access within the session directory -- **Resource Limits**: CPU time (60s) and file size (50MB) limits enforced via ulimit - -## Platform Support - -### Linux (Production) - -**Sandbox Script**: `python_sandbox.sh` - -**Security Features**: -- OS-level path validation -- ulimit resource constraints (CPU time, file size) -- Python built-in function wrapping (`open`, `os.*`) -- Module import restrictions -- Working directory isolation - -**Deployment**: Safe for production use, including publicly hosted services. - -### macOS (Development/Testing) - -**Sandbox Script**: `python_sandbox.sh` - -**Security Features**: Same as Linux - -**Deployment**: Suitable for local development and testing. For production deployments, use Linux. - -### Windows (Development Only - WARNING) - -**Sandbox Script**: `python_sandbox_windows.bat` - -**Security Features**: -- Python function wrapping (file operations, imports) -- Path validation -- WARNING: NO ulimit support (Windows doesn't have ulimit) -- WARNING: NO process-level isolation - -**Deployment**: -- Safe for **local development only** -- **NOT SAFE** for production -- **DO NOT** use for publicly hosted services -- The system will print warnings when running on Windows - -**Recommendation**: For production deployments, use **Linux only**. - -## Implementation Details - -### Two-Layer Security - -1. **Node.js Layer** ([VisualizationEngine.js](./VisualizationEngine.js)) - - Path validation before file operations - - Prevents path traversal at application level - - Validates all paths are within session temp directory - -2. **Python Layer** (sandbox scripts) - - Wraps built-in `open()` function to block writes outside sandbox - - Wraps `os.remove()`, `os.mkdir()`, etc. - - Blocks dangerous module imports - - Neuters subprocess execution functions - -### Session Isolation - -Each WebSocket session gets its own temp directory: -``` -/tmp/sd-agent/ - ├── sess_abc123/ ← Session 1 sandbox - ├── sess_def456/ ← Session 2 sandbox - └── sess_ghi789/ ← Session 3 sandbox -``` - -Sessions cannot access each other's files. - -### Configurable Temp Directory - -Set via environment variable: -```bash -export SESSION_TEMP_DIR=/custom/temp/path -``` - -Or in `.env`: -``` -SESSION_TEMP_DIR=/custom/temp/path -``` - -## Testing - -Unit tests verify all security guarantees: - -```bash -npm test -- tests/agent/sandbox.test.js -``` - -Tests cover: -- File write blocking outside sandbox -- File read permissions -- Subprocess execution blocking -- Network module blocking -- Resource limits -- Path traversal prevention -- Symlink escape prevention -- Matplotlib compatibility - -## Third-Party Alternatives - -For enhanced security on Linux, consider wrapping with: - -- **Bubblewrap**: Lightweight container sandbox -- **Firejail**: Application sandboxing -- **Docker/Podman**: Full containerization (more overhead) -- **gVisor**: Google's container runtime sandbox - -Our custom solution was chosen for: -- Cross-platform support (macOS, Linux, Windows dev) -- Zero external dependencies -- Lightweight (no Docker overhead) -- Simple deployment - -## Security Considerations - -### Matplotlib & System Libraries - -Matplotlib requires reading system files (fonts, config files). The sandbox allows: -- Read access to `/usr/`, `/Library/`, `/System/` (system paths) -- Read access to `~/.matplotlib/`, `~/.fonts/` (user config) -- **NO write access** to these locations - -### AI-Generated Code - -When using `useAICustom: true`, the AI generates Python visualization code. The sandbox prevents: -- Data exfiltration attempts -- Malicious code injection -- Resource exhaustion attacks - -### Resource Exhaustion - -**Linux/macOS**: ulimit enforces CPU time (60s) and file size (50MB) limits. - -**Windows**: No ulimit support. Use process timeout (70s) as fallback. For production, use Linux. - -## Migration from Development to Production - -If developing on Windows: - -1. Test locally on Windows (warnings will appear) -2. Deploy to Linux or macOS for production -3. Verify tests pass: `npm test -- tests/agent/sandbox.test.js` -4. Monitor logs for security violations - -## Reporting Security Issues - -If you discover a security vulnerability, please report it via: -- GitHub Issues (for non-critical issues) -- Direct contact for critical vulnerabilities - -## License - -Same license as the main project. diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 18b31d91..3ef695f6 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -40,8 +40,10 @@ export class SessionManager { mkdirSync(this.tempBasePath, { recursive: true }); } - // Start cleanup timer - this.startCleanupTimer(); + // Start cleanup timer (disabled in worker processes — lifetime managed by main) + if (!options.disableCleanup) { + this.startCleanupTimer(); + } logger.log(`SessionManager initialized. Temp base: ${this.tempBasePath}`); } @@ -103,6 +105,44 @@ export class SessionManager { return sessionId; } + /** + * Register a session with a known ID and an explicit temp directory path. + * Used by worker processes where the session ID and temp dir are assigned + * by the main process and passed in via environment variables. + */ + createSessionWithId(sessionId, ws, tempDir) { + if (this.sessions.has(sessionId)) return sessionId; + if (this.sessions.size >= this.maxSessions) { + throw new Error('Server at capacity. Please try again later.'); + } + + try { + mkdirSync(tempDir, { recursive: true }); + } catch (err) { + logger.error(`Failed to ensure temp directory for session ${sessionId}:`, err); + throw new Error('Failed to initialize session temp directory'); + } + + const session = { + sessionId, + ws, + tempDir, + createdAt: Date.now(), + lastActivity: Date.now(), + mode: null, + clientModel: null, + clientTools: [], + context: {}, + modelTokenCount: 0, + pendingToolCalls: new Map(), + conversationContext: [], + }; + + this.sessions.set(sessionId, session); + logger.log(`Session registered: ${sessionId}`); + return sessionId; + } + /** * Get a session by ID */ @@ -466,7 +506,6 @@ ${conversationText}` startCleanupTimer() { this.cleanupTimer = setInterval(() => { this.cleanupStaleSessions(); - this.cleanupOrphanedTempDirs(); }, this.cleanupInterval); } diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index a70f0dab..bcb2e749 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -3,7 +3,6 @@ import { join, resolve, normalize, dirname } from 'path'; import { writeFileSync, readFileSync, existsSync, unlinkSync } from 'fs'; import { spawn } from 'child_process'; import { fileURLToPath } from 'url'; -import { userInfo } from 'os'; import { LLMWrapper } from '../../utilities/LLMWrapper.js'; import logger from '../../utilities/logger.js'; @@ -603,66 +602,34 @@ print('Visualization saved') } /** - * Execute Python script with OS-level sandboxing + * Execute a Python script. + * + * On Linux in production this process runs inside a bwrap container, so the + * OS-level mount namespace provides isolation — no additional Python-level + * sandbox wrapper is needed. On macOS/Windows (dev) the worker spawner has + * already emitted a prominent warning about the lack of sandboxing. */ async executePythonScript(scriptPath) { - // Validate that the script path is within the session temp directory const validatedPath = this.validatePath(scriptPath); - // Detect OS and use appropriate sandbox script - const isWindows = process.platform === 'win32'; - const isMacOS = process.platform === 'darwin'; - - if (isWindows) { - logger.warn('WARNING: Running on Windows with minimal sandbox security.'); - logger.warn('This is for LOCAL DEVELOPMENT ONLY.'); - logger.warn('DO NOT use for publicly hosted services.'); - logger.warn('For production, deploy on Linux.'); - } else if (isMacOS) { - logger.warn('WARNING: Running on MacOS sandbox security.'); - logger.warn('This is for LOCAL DEVELOPMENT ONLY.'); - logger.warn('DO NOT use for publicly hosted services.'); - logger.warn('For production, deploy on Linux.'); - } - - const sandboxScript = isWindows - ? join(__dirname, 'python_sandbox_windows.bat') - : join(__dirname, 'python_sandbox.sh'); - - const currentUser = (() => { try { return userInfo().username; } catch { return process.env.USER || 'unknown'; } })(); - return new Promise((resolve, reject) => { - // Arguments: sandbox_dir, script_path - const sandboxProcess = spawn(sandboxScript, [ - this.resolvedTempDir, // Sandbox directory (session temp dir) - validatedPath // Script to execute - ], { - // Additional security: set working directory to sandbox + const pythonProcess = spawn('python3', [validatedPath], { cwd: this.resolvedTempDir, - // Limit environment variables env: { PATH: process.env.PATH, HOME: this.resolvedTempDir, TMPDIR: this.resolvedTempDir, }, - // Set timeout at process level as well - timeout: 70000, // 70 seconds (sandbox has 65s timeout + 5s buffer) - // Windows needs shell - shell: isWindows + timeout: 70000, }); let stdout = ''; let stderr = ''; - sandboxProcess.stdout.on('data', (data) => { - stdout += data.toString(); - }); - - sandboxProcess.stderr.on('data', (data) => { - stderr += data.toString(); - }); + pythonProcess.stdout.on('data', (data) => { stdout += data.toString(); }); + pythonProcess.stderr.on('data', (data) => { stderr += data.toString(); }); - sandboxProcess.on('close', (code) => { + pythonProcess.on('close', (code) => { if (code !== 0) { reject(new Error(`Python script failed (code ${code}): ${stderr}`)); } else { @@ -670,8 +637,8 @@ print('Visualization saved') } }); - sandboxProcess.on('error', (err) => { - reject(new Error(`Failed to spawn sandboxed Python: ${err.message}`)); + pythonProcess.on('error', (err) => { + reject(new Error(`Failed to spawn Python: ${err.message}`)); }); }); } diff --git a/agent/utilities/python_sandbox.sh b/agent/utilities/python_sandbox.sh deleted file mode 100755 index 37c2d8de..00000000 --- a/agent/utilities/python_sandbox.sh +++ /dev/null @@ -1,184 +0,0 @@ -#!/bin/bash -# -# Python Sandbox Wrapper -# Executes Python scripts with OS-level directory isolation -# -# Usage: python_sandbox.sh -# -# Security measures: -# 1. Changes working directory to sandbox -# 2. Blocks file WRITES outside sandbox directory -# 3. Allows file READS anywhere (needed for system libraries) -# 4. Sets resource limits (CPU, file size) -# 5. Blocks subprocess execution -# 6. Works on both macOS and Linux - -set -e - -if [ "$#" -ne 2 ]; then - echo "Usage: $0 " >&2 - exit 1 -fi - -SANDBOX_DIR="$1" -SCRIPT_PATH="$2" - -# Validate that sandbox directory exists -if [ ! -d "$SANDBOX_DIR" ]; then - echo "Error: Sandbox directory does not exist: $SANDBOX_DIR" >&2 - exit 1 -fi - -# Validate that script exists and is within sandbox -if [ ! -f "$SCRIPT_PATH" ]; then - echo "Error: Script does not exist: $SCRIPT_PATH" >&2 - exit 1 -fi - -# Get absolute paths -SANDBOX_ABS=$(cd "$SANDBOX_DIR" && pwd) -SCRIPT_ABS=$(cd "$(dirname "$SCRIPT_PATH")" && pwd)/$(basename "$SCRIPT_PATH") - -# Security check: Ensure script is within sandbox -if [[ ! "$SCRIPT_ABS" == "$SANDBOX_ABS"* ]]; then - echo "Error: Script must be within sandbox directory" >&2 - exit 1 -fi - -# Set resource limits (prevents DoS) -# CPU time: 60 seconds -ulimit -t 60 2>/dev/null || true -# File size: 50MB (prevents filling disk) -ulimit -f 51200 2>/dev/null || true - -# Create a restricted Python wrapper script -cat > "$SANDBOX_DIR/.sandbox_wrapper.py" << 'WRAPPER_EOF' -import sys -import os -import builtins - -# Get sandbox directory from environment -SANDBOX_DIR = os.environ.get('SANDBOX_DIR', os.getcwd()) -SCRIPT_PATH = os.environ.get('SCRIPT_PATH', '') - -# Normalize sandbox path for comparisons -SANDBOX_REAL = os.path.realpath(SANDBOX_DIR) - -# Override built-in open to restrict WRITE access -_original_open = builtins.open - -def restricted_open(file, mode='r', *args, **kwargs): - """Restricted open that blocks writes outside sandbox directory""" - # Allow all reads - # Block writes outside sandbox - if any(m in str(mode) for m in ['w', 'a', 'x', '+']): - # This is a write operation - validate path - if not os.path.isabs(file): - file = os.path.join(os.getcwd(), file) - file_real = os.path.normpath(os.path.realpath(file)) - - # Check if file is within sandbox - if not file_real.startswith(SANDBOX_REAL + os.sep) and file_real != SANDBOX_REAL: - raise PermissionError(f"Write access denied: {file} is outside sandbox directory") - - return _original_open(file, mode, *args, **kwargs) - -# Replace built-in open -builtins.open = restricted_open - -# Wrap os module write functions -_original_os_remove = os.remove if hasattr(os, 'remove') else None -_original_os_unlink = os.unlink if hasattr(os, 'unlink') else None -_original_os_rmdir = os.rmdir if hasattr(os, 'rmdir') else None -_original_os_mkdir = os.mkdir if hasattr(os, 'mkdir') else None -_original_os_makedirs = os.makedirs if hasattr(os, 'makedirs') else None - -def validate_write_path(path): - """Ensure write path is within sandbox""" - if not os.path.isabs(path): - path = os.path.join(os.getcwd(), path) - path_real = os.path.realpath(path) - - if not path_real.startswith(SANDBOX_REAL + os.sep) and path_real != SANDBOX_REAL: - raise PermissionError(f"Write access denied: {path} is outside sandbox directory") - return path - -def restricted_os_remove(path): - validate_write_path(path) - return _original_os_remove(path) - -def restricted_os_mkdir(path, *args, **kwargs): - validate_write_path(path) - return _original_os_mkdir(path, *args, **kwargs) - -def restricted_os_makedirs(path, *args, **kwargs): - validate_write_path(path) - return _original_os_makedirs(path, *args, **kwargs) - -# Replace os module write functions -if _original_os_remove: - os.remove = restricted_os_remove - os.unlink = restricted_os_remove -if _original_os_rmdir: - os.rmdir = restricted_os_remove -if _original_os_mkdir: - os.mkdir = restricted_os_mkdir -if _original_os_makedirs: - os.makedirs = restricted_os_makedirs - -# Change to sandbox directory (prevents relative path escapes) -os.chdir(SANDBOX_DIR) - -# Store original import function -original_import = builtins.__import__ - -def restricted_import(name, *args, **kwargs): - """Block dangerous module imports""" - # Block network modules - if name in ['urllib', 'http', 'ftplib', 'smtplib', 'requests']: - raise ImportError(f"Module '{name}' is not allowed in sandbox") - - # Allow import - result = original_import(name, *args, **kwargs) - - # If subprocess is imported, block all execution functions - if name == 'subprocess': - def blocked_call(*args, **kwargs): - raise PermissionError("Subprocess execution is not allowed in sandbox") - - result.call = blocked_call - result.check_call = blocked_call - result.check_output = blocked_call - result.run = blocked_call - result.Popen = blocked_call - - return result - -# Replace the import function -builtins.__import__ = restricted_import - -# Execute the user script -script_name = os.path.basename(SCRIPT_PATH) -with _original_open(SCRIPT_PATH, 'r') as f: - code = f.read() - -# Execute in restricted namespace -exec(compile(code, script_name, 'exec'), { - '__name__': '__main__', - '__file__': script_name, - '__builtins__': builtins, -}) -WRAPPER_EOF - -# Export environment variables for the wrapper -export SANDBOX_DIR="$SANDBOX_ABS" -export SCRIPT_PATH="$SCRIPT_ABS" - -# Execute Python with the wrapper script -python3 "$SANDBOX_DIR/.sandbox_wrapper.py" -EXIT_CODE=$? - -# Cleanup -rm -f "$SANDBOX_DIR/.sandbox_wrapper.py" - -exit $EXIT_CODE diff --git a/agent/utilities/python_sandbox_windows.bat b/agent/utilities/python_sandbox_windows.bat deleted file mode 100644 index ab1c5d73..00000000 --- a/agent/utilities/python_sandbox_windows.bat +++ /dev/null @@ -1,152 +0,0 @@ -@echo off -REM Python Sandbox Wrapper for Windows -REM -REM !! WARNING !! -REM This Windows sandbox provides MINIMAL security and is NOT production-ready. -REM It is intended for LOCAL DEVELOPMENT ONLY. -REM DO NOT use this for publicly hosted services. -REM -REM For production deployments, use Linux/macOS with the bash sandbox script. -REM -REM Usage: python_sandbox_windows.bat - -if "%~2"=="" ( - echo Usage: %0 ^ ^ 1>&2 - exit /b 1 -) - -set SANDBOX_DIR=%~1 -set SCRIPT_PATH=%~2 - -REM Validate that sandbox directory exists -if not exist "%SANDBOX_DIR%" ( - echo Error: Sandbox directory does not exist: %SANDBOX_DIR% 1>&2 - exit /b 1 -) - -REM Validate that script exists -if not exist "%SCRIPT_PATH%" ( - echo Error: Script does not exist: %SCRIPT_PATH% 1>&2 - exit /b 1 -) - -REM Get absolute paths -pushd "%SANDBOX_DIR%" -set SANDBOX_ABS=%CD% -popd - -pushd "%SCRIPT_PATH%\.." -set SCRIPT_DIR=%CD% -popd -set SCRIPT_NAME=%~nx2 -set SCRIPT_ABS=%SCRIPT_DIR%\%SCRIPT_NAME% - -REM Security check: Ensure script is within sandbox -echo %SCRIPT_ABS% | findstr /C:"%SANDBOX_ABS%" >nul -if errorlevel 1 ( - echo Error: Script must be within sandbox directory 1>&2 - exit /b 1 -) - -REM Create a restricted Python wrapper script -( -echo import sys -echo import os -echo import builtins -echo. -echo # !! WARNING: Windows sandbox provides minimal security !! -echo # For production use, deploy on Linux/macOS -echo. -echo SANDBOX_DIR = os.environ.get^('SANDBOX_DIR', os.getcwd^(^)^) -echo SCRIPT_PATH = os.environ.get^('SCRIPT_PATH', ''^) -echo SANDBOX_REAL = os.path.realpath^(SANDBOX_DIR^) -echo. -echo _original_open = builtins.open -echo. -echo def restricted_open^(file, mode='r', *args, **kwargs^): -echo """Restricted open that blocks writes outside sandbox directory""" -echo if any^(m in str^(mode^) for m in ['w', 'a', 'x', '+']^): -echo if not os.path.isabs^(file^): -echo file = os.path.join^(os.getcwd^(^), file^) -echo file_real = os.path.normpath^(os.path.realpath^(file^)^) -echo if not file_real.startswith^(SANDBOX_REAL + os.sep^) and file_real != SANDBOX_REAL: -echo raise PermissionError^(f"Write access denied: {file} is outside sandbox directory"^) -echo return _original_open^(file, mode, *args, **kwargs^) -echo. -echo builtins.open = restricted_open -echo. -echo _original_os_remove = os.remove if hasattr^(os, 'remove'^) else None -echo _original_os_mkdir = os.mkdir if hasattr^(os, 'mkdir'^) else None -echo _original_os_makedirs = os.makedirs if hasattr^(os, 'makedirs'^) else None -echo. -echo def validate_write_path^(path^): -echo if not os.path.isabs^(path^): -echo path = os.path.join^(os.getcwd^(^), path^) -echo path_real = os.path.realpath^(path^) -echo if not path_real.startswith^(SANDBOX_REAL + os.sep^) and path_real != SANDBOX_REAL: -echo raise PermissionError^(f"Write access denied: {path} is outside sandbox directory"^) -echo return path -echo. -echo def restricted_os_remove^(path^): -echo validate_write_path^(path^) -echo return _original_os_remove^(path^) -echo. -echo def restricted_os_mkdir^(path, *args, **kwargs^): -echo validate_write_path^(path^) -echo return _original_os_mkdir^(path, *args, **kwargs^) -echo. -echo def restricted_os_makedirs^(path, *args, **kwargs^): -echo validate_write_path^(path^) -echo return _original_os_makedirs^(path, *args, **kwargs^) -echo. -echo if _original_os_remove: -echo os.remove = restricted_os_remove -echo os.unlink = restricted_os_remove -echo if _original_os_mkdir: -echo os.mkdir = restricted_os_mkdir -echo if _original_os_makedirs: -echo os.makedirs = restricted_os_makedirs -echo. -echo os.chdir^(SANDBOX_DIR^) -echo. -echo original_import = builtins.__import__ -echo. -echo def restricted_import^(name, *args, **kwargs^): -echo if name in ['urllib', 'http', 'ftplib', 'smtplib', 'requests']: -echo raise ImportError^(f"Module '{name}' is not allowed in sandbox"^) -echo result = original_import^(name, *args, **kwargs^) -echo if name == 'subprocess': -echo def blocked_call^(*args, **kwargs^): -echo raise PermissionError^("Subprocess execution is not allowed in sandbox"^) -echo result.call = blocked_call -echo result.check_call = blocked_call -echo result.check_output = blocked_call -echo result.run = blocked_call -echo result.Popen = blocked_call -echo return result -echo. -echo builtins.__import__ = restricted_import -echo. -echo script_name = os.path.basename^(SCRIPT_PATH^) -echo with _original_open^(SCRIPT_PATH, 'r'^) as f: -echo code = f.read^(^) -echo. -echo exec^(compile^(code, script_name, 'exec'^), { -echo '__name__': '__main__', -echo '__file__': script_name, -echo '__builtins__': builtins, -echo }^) -) > "%SANDBOX_DIR%\.sandbox_wrapper.py" - -REM Export environment variables -set SANDBOX_DIR=%SANDBOX_ABS% -set SCRIPT_PATH=%SCRIPT_ABS% - -REM Execute Python with the wrapper script -python "%SANDBOX_DIR%\.sandbox_wrapper.py" -set EXIT_CODE=%ERRORLEVEL% - -REM Cleanup -del "%SANDBOX_DIR%\.sandbox_wrapper.py" 2>nul - -exit /b %EXIT_CODE% diff --git a/agent/websocket.js b/agent/websocket.js deleted file mode 100644 index a8a803fe..00000000 --- a/agent/websocket.js +++ /dev/null @@ -1,486 +0,0 @@ -import { AgentOrchestrator } from './AgentOrchestrator.js'; -import { - validateClientMessage, - createSessionCreatedMessage, - createSessionReadyMessage, - createAgentSelectedMessage, - createAgentTextMessage, - createErrorMessage -} from './utilities/MessageProtocol.js'; -import { join } from 'path'; -import { fileURLToPath } from 'url'; -import { dirname } from 'path'; -import { readdirSync, readFileSync } from 'fs'; -import logger from '../utilities/logger.js'; -import utils from '../utilities/utils.js'; -import config from '../config.js'; - -const __filename = fileURLToPath(import.meta.url); -const __dirname = dirname(__filename); - -function parseFrontmatter(content) { - const frontmatterRegex = /^---\n([\s\S]*?)\n---/; - const match = content.match(frontmatterRegex); - if (!match) return {}; - - const metadata = {}; - const lines = match[1].split('\n'); - let currentArray = null; - - for (const line of lines) { - const trimmed = line.trim(); - if (!trimmed) continue; - - if (trimmed.startsWith('- ') && currentArray) { - currentArray.push(trimmed.substring(2).trim()); - } else if (trimmed.includes(':')) { - const colonIndex = trimmed.indexOf(':'); - const key = trimmed.substring(0, colonIndex).trim(); - const value = trimmed.substring(colonIndex + 1).trim(); - - if (value === '') { - currentArray = []; - metadata[key] = currentArray; - } else { - let parsedValue = value.replace(/^["']|["']$/g, ''); - if (!isNaN(parsedValue) && parsedValue !== '') parsedValue = Number(parsedValue); - metadata[key] = parsedValue; - currentArray = null; - } - } - } - - return metadata; -} - -/** - * Scan the config directory and return available agents - */ -function getAvailableAgents() { - const configDir = join(__dirname, 'config'); - const agents = []; - - try { - const files = readdirSync(configDir).filter(f => f.endsWith('.md')); - - for (const file of files) { - try { - const content = readFileSync(join(configDir, file), 'utf8'); - const metadata = parseFrontmatter(content); - - if (metadata?.name) { - agents.push({ - id: file.replace('.md', ''), - name: metadata.name || file.replace('.md', ''), - role: metadata.role || 'Agent', - supportedModes: metadata.supported_modes || [], - description: metadata.description || '' - }); - } - } catch (err) { - logger.warn(`Failed to load agent config from ${file}:`, err.message); - } - } - } catch (err) { - logger.error('Failed to scan agent config directory:', err); - } - - // Hardcoded defaults - socrates is the default agent for all model types - const defaults = { - sfd: 'socrates', - cld: 'socrates' - }; - - return { agents, defaults }; -} - -/** - * Handle WebSocket connection - * Sets up message handlers and manages agent lifecycle - */ -export function handleWebSocketConnection(ws, sessionManager) { - let sessionId = null; - let orchestrator = null; - let previousAgentContext = null; - - // Create session - try { - sessionId = sessionManager.createSession(ws); - - // Send session created message - const sessionCreatedMsg = createSessionCreatedMessage(sessionId); - ws.send(JSON.stringify(sessionCreatedMsg)); - - logger.log(`WebSocket connected: ${sessionId}`); - } catch (error) { - logger.error('Failed to create session:', error); - ws.close(1011, error.message); - return; - } - - // Helper to send messages to client - const sendToClient = async (message) => { - if (ws.readyState === 1) { // OPEN - ws.send(JSON.stringify(message)); - } - }; - - // Message handler - ws.on('message', async (data) => { - try { - // Parse message - const rawMessage = JSON.parse(data.toString()); - - // Validate message - const validation = validateClientMessage(rawMessage); - if (!validation.success) { - await sendToClient(createErrorMessage( - sessionId, - `Invalid message: ${validation.error}`, - 'INVALID_MESSAGE' - )); - return; - } - - const message = validation.data; - - // Handle different message types - switch (message.type) { - case 'initialize_session': - await handleInitializeSession(message); - break; - - case 'select_agent': - await handleSelectAgent(message); - break; - - case 'chat': - await handleChat(message); - break; - - case 'tool_call_response': - await handleToolCallResponse(message); - break; - - case 'model_updated_notification': - await handleModelUpdated(message); - break; - - case 'stop_iteration': - await handleStopIteration(message); - break; - - case 'disconnect': - // Destroy orchestrator if it exists - if (orchestrator) { - orchestrator.destroy(); - orchestrator = null; - } - - // Delete session (this cleans up pending calls, temp dirs, etc.) - sessionManager.deleteSession(sessionId); - ws.close(1000, 'Client requested disconnect'); - break; - - default: - await sendToClient(createErrorMessage( - sessionId, - `Unknown message type: ${message.type}`, - 'UNKNOWN_MESSAGE_TYPE' - )); - } - } catch (error) { - logger.error(`Error handling message for session ${sessionId}:`, error); - await sendToClient(createErrorMessage( - sessionId, - error.message, - 'MESSAGE_PROCESSING_ERROR' - )); - } - }); - - // Handle initialize_session - async function handleInitializeSession(message) { - try { - // Validate authentication key - const authenticationKey = process.env.AUTHENTICATION_KEY; - if (authenticationKey) { - const expectedAuthKey = process.env.AUTHENTICATION_KEY; - if (!expectedAuthKey || message.authenticationKey !== expectedAuthKey) { - ws.close(1008, 'Unauthorized, please pass valid Authentication key.'); - return; - } - } - - // Validate client product and version - if (!utils.supportedPlatform(message.clientProduct, message.clientVersion)) { - ws.close(1008, 'Your client application is not currently supported.'); - return; - } - - // Validate model type - if (!message.mode || !['cld', 'sfd'].includes(message.mode)) { - throw new Error('Invalid or missing mode. Must be "cld" or "sfd".'); - } - - // Initialize session with model type, model, tools, and context - sessionManager.initializeSession( - sessionId, - message.mode, - message.model, - message.tools, - message.context - ); - - // Process historical messages if provided - if (message.historicalMessages && message.historicalMessages.length > 0) { - for (const histMsg of message.historicalMessages) { - let role = 'assistant'; // Default to assistant - let content = ''; - - switch (histMsg.type) { - case 'user_text': - role = 'user'; - content = histMsg.content || ''; - break; - - case 'agent_text': - role = 'assistant'; - content = histMsg.content || ''; - break; - - case 'agent_complete': - role = 'assistant'; - content = histMsg.content || ''; - break; - - case 'visualization': - // For visualizations, create a summary message - role = 'assistant'; - content = `[Created visualization: ${histMsg.visualizationTitle || 'Untitled'}]`; - if (histMsg.visualizationDescription) { - content += ` ${histMsg.visualizationDescription}`; - } - break; - } - - if (content) { - // Add to conversation history - sessionManager.addToConversationHistory(sessionId, { - role: role, - content: content - }); - } - } - - // Compress historical messages to within the token limit - await sessionManager.cleanupContext(sessionId, config.agentMaxContextTokens); - - logger.log(`Loaded ${message.historicalMessages.length} historical messages for session ${sessionId}`); - } - - // Get available agents from config directory - const { agents, defaults } = getAvailableAgents(); - - // Send session ready with available agents and defaults - await sendToClient(createSessionReadyMessage(sessionId, agents, defaults)); - - logger.log(`Session initialized: ${sessionId}`); - } catch (error) { - logger.error(`Failed to initialize session ${sessionId}:`, error); - await sendToClient(createErrorMessage( - sessionId, - `Initialization failed: ${error.message}`, - 'INITIALIZATION_ERROR' - )); - } - } - - // Handle select_agent (also handles switching agents mid-session) - async function handleSelectAgent(message) { - try { - // Validate that the agent exists - const { agents } = getAvailableAgents(); - const selectedAgent = agents.find(agent => agent.id === message.agentId); - - if (!selectedAgent) { - throw new Error(`Agent '${message.agentId}' not found. Available agents: ${agents.map(a => a.id).join(', ')}`); - } - - // Get the agent config path - const configPath = join(__dirname, 'config', `${message.agentId}.md`); - - // Check if we're switching agents (orchestrator already exists) - const isSwitching = orchestrator !== null; - - // Snapshot context before replacing orchestrator so first chat can bridge modes - previousAgentContext = sessionManager.getConversationContext(sessionId); - - // Create new agent orchestrator (replaces existing if switching) - orchestrator = new AgentOrchestrator( - sessionManager, - sessionId, - sendToClient, - configPath - ); - - // Send agent selected message - await sendToClient(createAgentSelectedMessage(sessionId, selectedAgent.id, selectedAgent.name)); - - // Send appropriate greeting message - if (isSwitching) { - await sendToClient(createAgentTextMessage(sessionId, `I've switched to ${selectedAgent.name}. How can I help you?`, false)); - logger.log(`Agent switched to: ${message.agentId} for session ${sessionId}`); - } else { - await sendToClient(createAgentTextMessage(sessionId, 'What can I do for you today?', false)); - logger.log(`Agent selected: ${message.agentId} for session ${sessionId}`); - } - - } catch (error) { - logger.error(`Failed to select agent for session ${sessionId}:`, error); - await sendToClient(createErrorMessage( - sessionId, - `Agent selection failed: ${error.message}`, - 'AGENT_SELECTION_ERROR' - )); - } - } - - // Handle chat - async function handleChat(message) { - try { - if (!orchestrator) { - throw new Error('Session not initialized. Send initialize_session first.'); - } - - // Start conversation - const session = sessionManager.getSession(sessionId); - const context = previousAgentContext; - previousAgentContext = null; - await orchestrator.startConversation(message.message, context); - - } catch (error) { - logger.error(`Error in chat for session ${sessionId}:`, error); - await sendToClient(createErrorMessage( - sessionId, - error.message, - 'CHAT_ERROR' - )); - } - } - - // Handle tool_call_response - async function handleToolCallResponse(message) { - try { - // First try to resolve as a regular tool call - const resolved = sessionManager.resolvePendingToolCall( - sessionId, - message.callId, - message.result, - message.isError - ); - - // If not a regular tool call, check if it's a feedback request response - if (!resolved) { - const session = sessionManager.getSession(sessionId); - if (session?.pendingFeedbackRequests?.has(message.callId)) { - const pending = session.pendingFeedbackRequests.get(message.callId); - clearTimeout(pending.timeout); - - if (message.isError) { - pending.reject(new Error(message.result)); - } else { - pending.resolve(message.result); - } - - session.pendingFeedbackRequests.delete(message.callId); - logger.log(`Resolved feedback request: ${message.callId}`); - } else if (session?.pendingModelRequests?.has(message.callId)) { - // Check if it's a model request response (get_current_model, update_model, run_model, get_run_info, get_variable_data) - const pending = session.pendingModelRequests.get(message.callId); - clearTimeout(pending.timeout); - - if (message.isError) { - pending.reject(new Error(message.result)); - } else { - pending.resolve(message.result); - } - - session.pendingModelRequests.delete(message.callId); - logger.log(`Resolved model request: ${message.callId}`); - } else { - logger.warn(`Received response for unknown call ID: ${message.callId}`); - } - } - } catch (error) { - logger.error(`Error handling tool response for session ${sessionId}:`, error); - await sendToClient(createErrorMessage( - sessionId, - error.message, - 'TOOL_RESPONSE_ERROR' - )); - } - } - - // Handle model_updated_notification - async function handleModelUpdated(message) { - try { - // Update session with new model - sessionManager.updateClientModel(sessionId, message.model); - - logger.log(`Model updated for session ${sessionId}: ${message.changeReason}`); - } catch (error) { - logger.error(`Error updating model for session ${sessionId}:`, error); - } - } - - // Handle stop_iteration - async function handleStopIteration(message) { - try { - if (!orchestrator) { - throw new Error('No active agent to stop'); - } - - logger.log(`Stop iteration requested for session ${sessionId}`); - orchestrator.stopIteration(); - - } catch (error) { - logger.error(`Error stopping iteration for session ${sessionId}:`, error); - await sendToClient(createErrorMessage( - sessionId, - error.message, - 'STOP_ITERATION_ERROR' - )); - } - } - - // Handle close - ws.on('close', (code, reason) => { - logger.log(`WebSocket closed: ${sessionId} (code: ${code}, reason: ${reason})`); - if (sessionId) { - // Destroy orchestrator if it exists - if (orchestrator) { - orchestrator.destroy(); - orchestrator = null; - } - - // Delete session (this cleans up pending calls, temp dirs, etc.) - sessionManager.deleteSession(sessionId); - } - }); - - // Handle error - ws.on('error', (error) => { - logger.error(`WebSocket error for session ${sessionId}:`, error); - if (sessionId) { - // Destroy orchestrator if it exists - if (orchestrator) { - orchestrator.destroy(); - orchestrator = null; - } - - // Delete session (this cleans up pending calls, temp dirs, etc.) - sessionManager.deleteSession(sessionId); - } - }); -} diff --git a/app.js b/app.js index b46ac855..8bb5c36d 100644 --- a/app.js +++ b/app.js @@ -14,7 +14,7 @@ import v1EvalsTestDetails from './routes/v1/evalsTestDetails.js' import v1Leaderboard from './routes/v1/leaderboard.js' import { SessionManager } from './agent/utilities/SessionManager.js' -import { handleWebSocketConnection } from './agent/websocket.js' +import { WebSocketHandler } from './agent/WebSocket.js' const app = express() @@ -63,7 +63,7 @@ if (useSamePort) { } wss.on('connection', (ws) => { - handleWebSocketConnection(ws, sessionManager); + new WebSocketHandler(ws, sessionManager); }); // Graceful shutdown diff --git a/tests/agent/AgentWorker.test.js b/tests/agent/AgentWorker.test.js new file mode 100644 index 00000000..73ba7e95 --- /dev/null +++ b/tests/agent/AgentWorker.test.js @@ -0,0 +1,382 @@ +/** + * Integration tests for the AgentWorker.js IPC protocol. + * + * Spawns the actual worker process via fork and exercises the message + * contract. Does NOT test AgentOrchestrator's agent loop (that requires + * the Anthropic API); focuses on the IPC plumbing that routes messages + * between the main process and the worker. + */ + +import { fork } from 'child_process'; +import { jest } from '@jest/globals'; +import { mkdirSync, rmSync } from 'fs'; +import { tmpdir } from 'os'; +import { join } from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const WORKER_PATH = join(__dirname, '../../agent/AgentWorker.js'); + +const TEST_SESSION_ID = 'sess_test_ipc_worker'; + +function makeTempDir() { + const dir = join(tmpdir(), `agent-worker-test-${Date.now()}-${Math.random().toString(36).slice(2)}`); + mkdirSync(dir, { recursive: true }); + return dir; +} + +function spawnWorker(tempDir, sessionId = TEST_SESSION_ID) { + return fork(WORKER_PATH, [], { + env: { + ...process.env, + SESSION_ID: sessionId, + SESSION_TEMP_DIR: tempDir, + }, + stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + }); +} + +/** + * Wait for the first IPC message from the worker that satisfies the predicate. + */ +function waitForMessage(worker, predicate, timeoutMs = 5000) { + return new Promise((resolve, reject) => { + const t = setTimeout( + () => reject(new Error(`IPC message timeout after ${timeoutMs}ms`)), + timeoutMs + ); + function handler(msg) { + if (predicate(msg)) { + clearTimeout(t); + worker.off('message', handler); + resolve(msg); + } + } + worker.on('message', handler); + }); +} + +/** Wait for the worker process to exit. */ +function waitForExit(worker, timeoutMs = 5000) { + return new Promise((resolve, reject) => { + if (worker.exitCode !== null) { resolve(worker.exitCode); return; } + const t = setTimeout(() => reject(new Error('Worker exit timeout')), timeoutMs); + worker.once('exit', (code) => { clearTimeout(t); resolve(code); }); + }); +} + +/** Send a minimal valid initialize message. */ +function sendInit(worker, extras = {}) { + worker.send({ + type: 'initialize', + mode: 'cld', + model: null, + tools: [], + context: {}, + conversationHistory: [], + isAgentSwitch: false, + ...extras, + }); +} + +// ───────────────────────────────────────────────────────────────────────────── + +describe('AgentWorker IPC — get_context', () => { + let worker; + let tempDir; + + beforeEach(() => { + tempDir = makeTempDir(); + worker = spawnWorker(tempDir); + }); + + afterEach(() => { + worker.kill('SIGKILL'); + rmSync(tempDir, { recursive: true, force: true }); + }); + + it('responds to get_context even before initialize (returns empty array)', async () => { + const requestId = 'req-before-init'; + worker.send({ type: 'get_context', requestId }); + + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + + expect(resp.context).toEqual([]); + }, 10000); + + it('get_context returns conversation history loaded during initialize', async () => { + const history = [ + { role: 'user', content: 'What is a stock?' }, + { role: 'assistant', content: 'A stock accumulates flows.' }, + ]; + + sendInit(worker, { conversationHistory: history }); + + const requestId = 'req-after-init'; + worker.send({ type: 'get_context', requestId }); + + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + + expect(resp.context).toEqual(history); + }, 10000); + + it('multiple get_context calls return the same history', async () => { + const history = [{ role: 'user', content: 'Hello' }]; + sendInit(worker, { conversationHistory: history }); + + for (let i = 0; i < 3; i++) { + const requestId = `req-${i}`; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + expect(resp.context).toEqual(history); + } + }, 10000); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('AgentWorker IPC — tool_response routing', () => { + let worker; + let tempDir; + + beforeEach(() => { + tempDir = makeTempDir(); + worker = spawnWorker(tempDir); + sendInit(worker); + }); + + afterEach(() => { + worker.kill('SIGKILL'); + rmSync(tempDir, { recursive: true, force: true }); + }); + + it('handles unknown callId in tool_response without crashing', async () => { + worker.send({ + type: 'tool_response', + callId: 'call-totally-unknown', + result: 'some result', + isError: false, + }); + + // Worker should stay alive — verify it still responds to get_context + const requestId = 'alive-check'; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + expect(resp).toBeDefined(); + }, 10000); + + it('handles error-flagged tool_response with unknown callId without crashing', async () => { + worker.send({ + type: 'tool_response', + callId: 'call-error-unknown', + result: 'it broke', + isError: true, + }); + + const requestId = 'alive-check-2'; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + expect(resp).toBeDefined(); + }, 10000); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('AgentWorker IPC — model_updated', () => { + let worker; + let tempDir; + + beforeEach(() => { + tempDir = makeTempDir(); + worker = spawnWorker(tempDir); + sendInit(worker); + }); + + afterEach(() => { + worker.kill('SIGKILL'); + rmSync(tempDir, { recursive: true, force: true }); + }); + + it('model_updated does not crash the worker', async () => { + worker.send({ + type: 'model_updated', + model: { variables: [{ name: 'Population', type: 'stock' }] }, + }); + + const requestId = 'alive-after-model'; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + expect(resp).toBeDefined(); + }, 10000); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('AgentWorker IPC — shutdown', () => { + let tempDir; + + beforeEach(() => { + tempDir = makeTempDir(); + }); + + afterEach(() => { + rmSync(tempDir, { recursive: true, force: true }); + }); + + it('exits cleanly with code 0 on shutdown', async () => { + const worker = spawnWorker(tempDir); + sendInit(worker); + + // Confirm it's running first + const requestId = 'pre-shutdown-check'; + worker.send({ type: 'get_context', requestId }); + await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + + worker.send({ type: 'shutdown' }); + const code = await waitForExit(worker); + expect(code).toBe(0); + }, 10000); + + it('exits even without initialize', async () => { + const worker = spawnWorker(tempDir); + worker.send({ type: 'shutdown' }); + const code = await waitForExit(worker); + expect(code).toBe(0); + }, 10000); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('AgentWorker IPC — error handling', () => { + let worker; + let tempDir; + + beforeEach(() => { + tempDir = makeTempDir(); + worker = spawnWorker(tempDir); + }); + + afterEach(() => { + worker.kill('SIGKILL'); + rmSync(tempDir, { recursive: true, force: true }); + }); + + it('sends worker_error on bad initialize (invalid mode)', async () => { + worker.send({ + type: 'initialize', + mode: 'INVALID_MODE', + model: null, + tools: [], + context: {}, + conversationHistory: [], + isAgentSwitch: false, + }); + + const errMsg = await waitForMessage(worker, (m) => m.type === 'worker_error'); + expect(errMsg.error).toBeDefined(); + expect(typeof errMsg.error).toBe('string'); + }, 10000); + + it('unknown message type does not crash the worker', async () => { + sendInit(worker); + worker.send({ type: 'this_does_not_exist', payload: 42 }); + + // Worker should still respond to get_context + const requestId = 'unknown-msg-check'; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + expect(resp).toBeDefined(); + }, 10000); + + it('multiple sequential get_context requests have unique requestIds', async () => { + sendInit(worker); + + const ids = ['r1', 'r2', 'r3']; + const responses = await Promise.all( + ids.map((requestId) => { + worker.send({ type: 'get_context', requestId }); + return waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + }) + ); + + expect(responses.map((r) => r.requestId)).toEqual(ids); + }, 10000); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('AgentWorker IPC — isAgentSwitch flag', () => { + let worker; + let tempDir; + + beforeEach(() => { + tempDir = makeTempDir(); + worker = spawnWorker(tempDir); + }); + + afterEach(() => { + worker.kill('SIGKILL'); + rmSync(tempDir, { recursive: true, force: true }); + }); + + it('initializing with isAgentSwitch=true still loads history correctly', async () => { + const history = [ + { role: 'user', content: 'Prior question' }, + { role: 'assistant', content: 'Prior answer' }, + ]; + + sendInit(worker, { conversationHistory: history, isAgentSwitch: true }); + + const requestId = 'switch-context-check'; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + + expect(resp.context).toEqual(history); + }, 10000); + + it('initializing with isAgentSwitch=false loads history correctly', async () => { + const history = [{ role: 'user', content: 'Fresh session question' }]; + + sendInit(worker, { conversationHistory: history, isAgentSwitch: false }); + + const requestId = 'no-switch-context-check'; + worker.send({ type: 'get_context', requestId }); + const resp = await waitForMessage( + worker, + (m) => m.type === 'context_response' && m.requestId === requestId + ); + + expect(resp.context).toEqual(history); + }, 10000); +}); diff --git a/tests/agent/WorkerSpawner.test.js b/tests/agent/WorkerSpawner.test.js new file mode 100644 index 00000000..55b6656d --- /dev/null +++ b/tests/agent/WorkerSpawner.test.js @@ -0,0 +1,195 @@ +/** + * Tests for agent/WorkerSpawner.js + * + * Covers: + * - WorkerSpawner.CONTAINER_SESSION_PATH value + * - WorkerSpawner.spawn returns a live ChildProcess with an IPC channel + * - The spawned process terminates cleanly when sent SIGKILL + * - SessionManager.createSessionWithId (the companion addition) + */ + +import { jest } from '@jest/globals'; +import { mkdirSync, rmSync } from 'fs'; +import { tmpdir } from 'os'; +import { join } from 'path'; +import { WorkerSpawner } from '../../agent/WorkerSpawner.js'; +import { SessionManager } from '../../agent/utilities/SessionManager.js'; + +function makeTempDir() { + const dir = join(tmpdir(), `spawner-test-${Date.now()}-${Math.random().toString(36).slice(2)}`); + mkdirSync(dir, { recursive: true }); + return dir; +} + +// ───────────────────────────────────────────────────────────────────────────── + +describe('WorkerSpawner.CONTAINER_SESSION_PATH', () => { + it('is /session', () => { + expect(WorkerSpawner.CONTAINER_SESSION_PATH).toBe('/session'); + }); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('WorkerSpawner.spawn', () => { + const workers = []; + + afterEach(() => { + // Kill any workers that leaked out of tests + for (const { worker, tempDir } of workers.splice(0)) { + worker.kill('SIGKILL'); + rmSync(tempDir, { recursive: true, force: true }); + } + }); + + function spawn(sessionId = 'sess_spawner_test') { + const tempDir = makeTempDir(); + const worker = WorkerSpawner.spawn(sessionId, tempDir); + workers.push({ worker, tempDir }); + return { worker, tempDir }; + } + + it('returns an object with a send() method (ChildProcess IPC interface)', () => { + const { worker } = spawn(); + expect(typeof worker.send).toBe('function'); + }); + + it('returns an object with a kill() method', () => { + const { worker } = spawn(); + expect(typeof worker.kill).toBe('function'); + }); + + it('returned process has a pid', () => { + const { worker } = spawn(); + expect(typeof worker.pid).toBe('number'); + expect(worker.pid).toBeGreaterThan(0); + }); + + it('returned process is initially alive (exitCode is null)', () => { + const { worker } = spawn(); + expect(worker.exitCode).toBeNull(); + }); + + it('can send IPC messages without throwing', () => { + const { worker } = spawn(); + expect(() => { + worker.send({ type: 'get_context', requestId: 'probe' }); + }).not.toThrow(); + }); + + it('IPC channel is active — worker responds to get_context', async () => { + const { worker } = spawn(); + + const response = await new Promise((resolve, reject) => { + const t = setTimeout(() => reject(new Error('IPC timeout')), 8000); + worker.on('message', (msg) => { + if (msg.type === 'context_response' && msg.requestId === 'probe') { + clearTimeout(t); + resolve(msg); + } + }); + // get_context works even before initialize (returns []) + worker.send({ type: 'get_context', requestId: 'probe' }); + }); + + expect(response.context).toEqual([]); + }, 10000); + + it('process exits after SIGKILL', async () => { + const { worker } = spawn(); + + const exitCode = await new Promise((resolve, reject) => { + const t = setTimeout(() => reject(new Error('Kill timeout')), 5000); + worker.once('exit', (code, signal) => { + clearTimeout(t); + resolve({ code, signal }); + }); + worker.kill('SIGKILL'); + }); + + // exitCode may be null on SIGKILL (signal-terminated), signal will be SIGKILL + expect(exitCode.signal === 'SIGKILL' || exitCode.code !== undefined).toBe(true); + }, 8000); + + it('each spawned worker gets its own process (distinct pids)', () => { + const { worker: w1 } = spawn('sess_a'); + const { worker: w2 } = spawn('sess_b'); + expect(w1.pid).not.toBe(w2.pid); + }); +}); + +// ───────────────────────────────────────────────────────────────────────────── + +describe('SessionManager.createSessionWithId', () => { + let sm; + + beforeEach(() => { + sm = new SessionManager({ disableCleanup: true }); + }); + + afterEach(() => { + sm.shutdown(); + }); + + it('creates a session with the provided ID', () => { + const tempDir = makeTempDir(); + try { + sm.createSessionWithId('test-id-1', null, tempDir); + expect(sm.getSession('test-id-1')).toBeDefined(); + } finally { + rmSync(tempDir, { recursive: true, force: true }); + } + }); + + it('session has the correct tempDir', () => { + const tempDir = makeTempDir(); + try { + sm.createSessionWithId('test-id-2', null, tempDir); + expect(sm.getSession('test-id-2').tempDir).toBe(tempDir); + } finally { + rmSync(tempDir, { recursive: true, force: true }); + } + }); + + it('session starts with empty conversationContext', () => { + const tempDir = makeTempDir(); + try { + sm.createSessionWithId('test-id-3', null, tempDir); + expect(sm.getConversationContext('test-id-3')).toEqual([]); + } finally { + rmSync(tempDir, { recursive: true, force: true }); + } + }); + + it('is idempotent — second call with same ID returns existing session', () => { + const tempDir = makeTempDir(); + try { + sm.createSessionWithId('test-id-4', null, tempDir); + sm.addToConversationHistory('test-id-4', { role: 'user', content: 'hello' }); + sm.createSessionWithId('test-id-4', null, tempDir); // second call + // History should be preserved — session was not replaced + expect(sm.getConversationContext('test-id-4')).toHaveLength(1); + } finally { + rmSync(tempDir, { recursive: true, force: true }); + } + }); + + it('can be initialized with initializeSession after creation', () => { + const tempDir = makeTempDir(); + try { + sm.createSessionWithId('test-id-5', null, tempDir); + expect(() => { + sm.initializeSession('test-id-5', 'sfd', null, [], {}); + }).not.toThrow(); + expect(sm.getSession('test-id-5').mode).toBe('sfd'); + } finally { + rmSync(tempDir, { recursive: true, force: true }); + } + }); + + it('disableCleanup prevents the cleanup timer from running', () => { + // If cleanup were running, it would call cleanupStaleSessions every 5 minutes. + // Just verify the timer is not set — SessionManager.cleanupTimer should be undefined. + expect(sm.cleanupTimer).toBeUndefined(); + }); +}); diff --git a/tests/agent/sandbox.test.js b/tests/agent/sandbox.test.js deleted file mode 100644 index cd6a1caf..00000000 --- a/tests/agent/sandbox.test.js +++ /dev/null @@ -1,380 +0,0 @@ -/** - * Unit tests for Python sandbox security - * Tests the python_sandbox.sh wrapper for directory isolation - */ - -import { jest } from '@jest/globals'; -import { mkdirSync, writeFileSync, rmSync, existsSync, readFileSync } from 'fs'; -import { join } from 'path'; -import { tmpdir } from 'os'; -import { spawn } from 'child_process'; -import { fileURLToPath } from 'url'; -import { dirname } from 'path'; - -const __filename = fileURLToPath(import.meta.url); -const __dirname = dirname(__filename); -const SANDBOX_SCRIPT = join(__dirname, '../../agent/utilities/python_sandbox.sh'); - -let testSandbox; -let outsideDir; - -/** - * Execute a Python script in the sandbox - */ -async function executeSandboxScript(script) { - const scriptPath = join(testSandbox, `test_${Date.now()}.py`); - writeFileSync(scriptPath, script); - - return new Promise((resolve) => { - const proc = spawn(SANDBOX_SCRIPT, [testSandbox, scriptPath], { - timeout: 10000 - }); - - let stdout = ''; - let stderr = ''; - - proc.stdout.on('data', (data) => { stdout += data.toString(); }); - proc.stderr.on('data', (data) => { stderr += data.toString(); }); - - proc.on('close', (code) => { - resolve({ code, stdout, stderr }); - }); - - proc.on('error', (err) => { - resolve({ code: -1, stdout: '', stderr: err.message }); - }); - }); -} - -describe('Python Sandbox - File Write Restrictions', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - outsideDir = join(tmpdir(), 'outside-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - mkdirSync(outsideDir, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - rmSync(outsideDir, { recursive: true, force: true }); - }); - - it('should block writing files outside sandbox using absolute path', async () => { - const targetFile = join(outsideDir, 'hacked.txt'); - const result = await executeSandboxScript(` -try: - with open('${targetFile}', 'w') as f: - f.write('HACKED') - exit(1) # Should not reach here -except PermissionError: - pass # Expected -`); - - expect(result.code).toBe(0); - expect(existsSync(targetFile)).toBe(false); - }); - - it('should block writing files outside sandbox using path traversal', async () => { - const result = await executeSandboxScript(` -try: - with open('../../../etc/passwd', 'w') as f: - f.write('HACKED') - exit(1) # Should not reach here -except PermissionError: - pass # Expected -`); - - expect(result.code).toBe(0); - }); - - it('should allow writing files inside sandbox', async () => { - const result = await executeSandboxScript(` -with open('allowed.txt', 'w') as f: - f.write('This is allowed') -print('SUCCESS') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('SUCCESS'); - expect(existsSync(join(testSandbox, 'allowed.txt'))).toBe(true); - }); - - it('should block creating directories outside sandbox', async () => { - const targetDir = join(outsideDir, 'newdir'); - const result = await executeSandboxScript(` -import os -try: - os.mkdir('${targetDir}') - exit(1) # Should not reach here -except PermissionError: - pass # Expected -`); - - expect(result.code).toBe(0); - expect(existsSync(targetDir)).toBe(false); - }); - - it('should allow creating directories inside sandbox', async () => { - const result = await executeSandboxScript(` -import os -os.mkdir('subdir') -print('SUCCESS') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('SUCCESS'); - expect(existsSync(join(testSandbox, 'subdir'))).toBe(true); - }); - - it('should block removing files outside sandbox', async () => { - const targetFile = join(outsideDir, 'victim.txt'); - writeFileSync(targetFile, 'victim content'); - - const result = await executeSandboxScript(` -import os -try: - os.remove('${targetFile}') - exit(1) # Should not reach here -except PermissionError: - pass # Expected -`); - - expect(result.code).toBe(0); - expect(existsSync(targetFile)).toBe(true); - }); -}); - -describe('Python Sandbox - File Read Permissions', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - }); - - it('should allow reading system files', async () => { - const result = await executeSandboxScript(` -with open('/etc/hosts', 'r') as f: - content = f.read() - assert len(content) > 0 -print('SUCCESS') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('SUCCESS'); - }); - - it('should allow reading files inside sandbox', async () => { - writeFileSync(join(testSandbox, 'readable.txt'), 'test content'); - - const result = await executeSandboxScript(` -with open('readable.txt', 'r') as f: - content = f.read() - assert content == 'test content' -print('SUCCESS') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('SUCCESS'); - }); -}); - -describe('Python Sandbox - Subprocess Blocking', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - }); - - it('should block subprocess.run()', async () => { - const result = await executeSandboxScript(` -import subprocess -try: - subprocess.run(['ls', '/']) - exit(1) # Should not reach here -except PermissionError: - pass # Expected -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); - - it('should block subprocess.call()', async () => { - const result = await executeSandboxScript(` -import subprocess -try: - subprocess.call(['echo', 'test']) - exit(1) # Should not reach here -except PermissionError: - pass # Expected -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); - - it('should block subprocess.Popen()', async () => { - const result = await executeSandboxScript(` -import subprocess -try: - subprocess.Popen(['ls']) - exit(1) # Should not reach here -except PermissionError: - pass # Expected -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); -}); - -describe('Python Sandbox - Network Blocking', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - }); - - it('should block urllib import', async () => { - const result = await executeSandboxScript(` -try: - import urllib - exit(1) # Should not reach here -except ImportError: - pass # Expected -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); - - it('should block requests import', async () => { - const result = await executeSandboxScript(` -try: - import requests - exit(1) # Should not reach here -except ImportError: - pass # Expected -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); -}); - -describe('Python Sandbox - Resource Limits', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - }); - - it('should enforce file size limit', async () => { - const result = await executeSandboxScript(` -try: - # Try to write more than 50MB (ulimit -f 51200 blocks) - with open('large.txt', 'w') as f: - f.write('x' * (60 * 1024 * 1024)) # 60MB - print('WROTE_LARGE_FILE') -except: - print('BLOCKED_LARGE_FILE') -`); - - // Should be blocked by file size limit - expect( - result.stdout.includes('BLOCKED_LARGE_FILE') || result.code !== 0 - ).toBe(true); - }); -}); - -describe('Python Sandbox - Path Traversal Prevention', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - outsideDir = join(tmpdir(), 'outside-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - mkdirSync(outsideDir, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - rmSync(outsideDir, { recursive: true, force: true }); - }); - - it('should block ../../../ path traversal', async () => { - const result = await executeSandboxScript(` -try: - with open('../../../etc/passwd', 'w') as f: - f.write('HACKED') - exit(1) -except PermissionError: - pass -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); - - it('should block symlink-based escapes', async () => { - const result = await executeSandboxScript(` -import os -try: - os.symlink('${outsideDir}', 'escape_link') - with open('escape_link/hacked.txt', 'w') as f: - f.write('HACKED') - exit(1) -except (PermissionError, OSError): - pass -print('BLOCKED') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('BLOCKED'); - }); -}); - -describe('Python Sandbox - Matplotlib Compatibility', () => { - beforeEach(() => { - testSandbox = join(tmpdir(), 'test-sandbox-' + Date.now()); - mkdirSync(testSandbox, { recursive: true }); - }); - - afterEach(() => { - rmSync(testSandbox, { recursive: true, force: true }); - }); - - it('should allow matplotlib to create visualizations', async () => { - const result = await executeSandboxScript(` -import matplotlib -matplotlib.use('Agg') -import matplotlib.pyplot as plt - -fig, ax = plt.subplots() -ax.plot([1, 2, 3], [1, 4, 9]) -plt.savefig('test.png') -plt.close() -print('SUCCESS') -`); - - expect(result.code).toBe(0); - expect(result.stdout).toContain('SUCCESS'); - expect(existsSync(join(testSandbox, 'test.png'))).toBe(true); - }, 30000); // Increase timeout for matplotlib import -}); From 9495121b5b3e4c6ebb3cb26b9bb6d8d91fda12bc Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 09:40:10 -0400 Subject: [PATCH 081/226] build in more critique --- agent/config/merlin.md | 6 +++++- agent/config/socrates.md | 7 +++++-- 2 files changed, 10 insertions(+), 3 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 28cd5c54..7459b433 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -26,6 +26,7 @@ IMPORTANT RULES: 8. Assume NO limits on complexity - build comprehensive models as needed 9. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. 10. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. +11. After building or significantly modifying a model, explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). Do not proceed to sensitivity analysis or optimization until the model has earned its credibility. ## Loops That Matter (LTM) Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. @@ -69,7 +70,10 @@ Enforce strict validation: - Ensure model boundaries are appropriate - Validate against reference modes - If possible, verify behavior comes from correct feedback mechanisms using LTM and Seldon -- Critique model structure and ask user for their assessment +- Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations +- Explicitly critique model behavior: verify reference mode fit, test extreme conditions, and confirm conservation laws hold +- A model has not earned credibility until it passes both structural and behavioral critique +- Ask users for their assessment of model validity by describing the important processes within the model ## Visualization Guidelines diff --git a/agent/config/socrates.md b/agent/config/socrates.md index abf575fe..239b081a 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -38,6 +38,7 @@ IMPORTANT RULES: - Then call create_visualization to generate charts - Users learn better when they can SEE the model behavior - Visualizations make abstract feedback loops concrete and observable +14. After building or significantly modifying a model, help the user explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). ## Loops That Matter (LTM) Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. @@ -129,7 +130,7 @@ When modifying existing models: ## Validation Rules Focus on educational validation: - All stocks must have clear, understandable initial values -- All equations should be simple enough to explain in plain language +- All equations should be simple enough to explain in plain language and not use embedded constants - Check that the model makes intuitive sense - Ensure model boundaries are appropriate for learning purposes - Keep variable count reasonable (default 5-10 variables for learning models) @@ -137,9 +138,11 @@ Focus on educational validation: - Avoid arrays and modules unless specifically and forcefully requested - Test with simple scenarios that build intuition - CRITICAL: Always verify behavior comes from correct feedback mechanisms +- Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations +- Explicitly critique model behavior: verify reference mode fit, test extreme conditions, and confirm conservation laws hold +- A model has not earned credibility until it passes both structural and behavioral critique - Critique models constructively and ask user for their opinions - ## Tool Usage Policies ### get_current_model *(sfd + cld)* From 0775fb4dd654cfddacf3cc163ba6e2f83f404e68 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 09:40:35 -0400 Subject: [PATCH 082/226] take the model out of the LLM context for update model too! --- agent/config/merlin.md | 2 +- agent/config/socrates.md | 2 +- agent/tools/builtin/clientInteractionTools.js | 19 ++++++++++++++----- 3 files changed, 16 insertions(+), 7 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 7459b433..67f2815f 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -91,7 +91,7 @@ Create analytical visualizations: **Frequency:** At start of every modeling conversation ### update_model *(sfd + cld)* -**When to use:** Only after thorough theoretical justification +**When to use:** After editing the model file on disk — this tool reads the session model file and pushes it to the client. Edit the file first, then call this with no arguments. **Always explain** your reasoning when using this tool ### run_model *(sfd only)* diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 239b081a..f38e5e09 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -150,7 +150,7 @@ Focus on educational validation: **Frequency:** At start of every modeling conversation ### update_model *(sfd + cld)* -**When to use:** Only after discussing changes with the user +**When to use:** After editing the model file on disk — this tool reads the session model file and pushes it to the client. Edit the file first, then call this with no arguments. **Always explain** your reasoning when using this tool ### run_model *(sfd only)* diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index 0ac10b44..d6ce7a48 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -1,4 +1,6 @@ import { z } from 'zod'; +import { readFileSync, existsSync } from 'fs'; +import { join } from 'path'; import { createGetCurrentModelMessage, createUpdateModelMessage, @@ -70,18 +72,25 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien */ export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { return { - description: 'Update the model in the client with new model data. This replaces the current model.', + description: 'Send the current model file to the client. Reads the model from the session file on disk — edit that file first, then call this tool to push the changes to the client.', supportedModes: ['sfd', 'cld'], - inputSchema: z.object({ - modelData: z.any().describe('The model data to update in the client') - }), - handler: async ({ modelData }) => { + inputSchema: z.object({}), + handler: async () => { try { const session = sessionManager.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); } + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); + + if (!existsSync(modelPath)) { + throw new Error('No model file found for this session. Call get_current_model first.'); + } + + const modelData = JSON.parse(readFileSync(modelPath, 'utf-8')); + const requestId = generateRequestId('model'); // Send update request to client From f7f9d0243affdb5ff7a395b83c2f7df9c3f166c4 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 10:48:42 -0400 Subject: [PATCH 083/226] log way more about bwrap failures, and automatically failover to no brwap --- agent/WebSocket.js | 11 +++++- agent/WorkerSpawner.js | 84 ++++++++++++++++++++++++++++++++++++------ 2 files changed, 82 insertions(+), 13 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 884f2b4b..1b98ae52 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -259,6 +259,9 @@ export class WebSocketHandler { this.#setupWorkerRelay(this.#worker); const session = this.#sessionManager.getSession(this.#sessionId); + if (!this.#worker.connected) { + throw new Error('Worker process failed to start (sandbox may not be available)'); + } this.#worker.send({ type: 'initialize', mode: session.mode, @@ -363,7 +366,9 @@ export class WebSocketHandler { #killWorker() { if (this.#worker) { - this.#worker.send({ type: 'shutdown' }); + if (this.#worker.connected) { + try { this.#worker.send({ type: 'shutdown' }); } catch { /* already dead */ } + } // Give it a moment to exit cleanly; force-kill if it doesn't const w = this.#worker; const t = setTimeout(() => w.kill('SIGKILL'), 2000); @@ -388,8 +393,10 @@ export class WebSocketHandler { // context_response is handled inside #getWorkerContext via its own listener }); + w.on('error', (err) => logger.error(`[worker:${this.#sessionId}] process error: ${err.message}`)); + w.stdout?.on('data', (d) => logger.log(`[worker:${this.#sessionId}] ${d.toString().trim()}`)); - w.stderr?.on('data', (d) => logger.error(`[worker:${this.#sessionId}] ${d.toString().trim()}`)); + w.stderr?.on('data', (d) => logger.error(`[worker:${this.#sessionId}] stderr: ${d.toString().trim()}`)); w.on('exit', (code, signal) => { logger.log(`[worker:${this.#sessionId}] exited (code=${code} signal=${signal})`); diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 291e71c6..c8b0ff64 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -1,5 +1,5 @@ import { spawn, fork } from 'child_process'; -import { existsSync } from 'fs'; +import { existsSync, readFileSync, statSync } from 'fs'; import { fileURLToPath } from 'url'; import { dirname, join } from 'path'; import { execSync } from 'child_process'; @@ -11,12 +11,48 @@ const APP_ROOT = dirname(__dirname); // sd-ai root (parent of agent/) export class WorkerSpawner { static CONTAINER_SESSION_PATH = '/session'; static #WORKER_PATH = join(__dirname, 'AgentWorker.js'); + static #bwrapBroken = false; // set true on first bwrap sandbox failure static #findBinary(name) { try { return execSync(`which ${name}`, { encoding: 'utf8' }).trim(); } catch { return null; } } + static #logBwrapDiagnostics(bwrapBin) { + const lines = ['bwrap sandbox diagnostics:']; + + try { + const st = statSync(bwrapBin); + const isSetuid = (st.mode & 0o4000) !== 0; + lines.push(` bwrap binary : ${bwrapBin} (mode=${st.mode.toString(8)}, setuid=${isSetuid})`); + } catch (e) { + lines.push(` bwrap binary : stat failed — ${e.message}`); + } + + for (const sysctl of [ + '/proc/sys/kernel/unprivileged_userns_clone', + '/proc/sys/user/max_user_namespaces', + ]) { + try { + lines.push(` ${sysctl} = ${readFileSync(sysctl, 'utf8').trim()}`); + } catch { + lines.push(` ${sysctl} = (not readable)`); + } + } + + try { + const caps = readFileSync('/proc/self/status', 'utf8'); + const capEff = caps.match(/^CapEff:\s+(\S+)/m)?.[1]; + lines.push(` process CapEff: ${capEff ?? 'unknown'}`); + } catch { /* ignore */ } + + try { + lines.push(` running in container: ${existsSync('/.dockerenv') ? 'yes (docker)' : 'no'}`); + } catch { /* ignore */ } + + logger.error(lines.join('\n')); + } + /** * Build bwrap argument list for a sandboxed worker process. * @@ -100,7 +136,7 @@ export class WorkerSpawner { static spawn(sessionId, sessionTempDir) { if (process.platform === 'linux') { const bwrapBin = WorkerSpawner.#findBinary('bwrap'); - if (bwrapBin) { + if (bwrapBin && !WorkerSpawner.#bwrapBroken) { logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap`); const workerEnv = { OPENAI_API_KEY: process.env.OPENAI_API_KEY, @@ -111,19 +147,45 @@ export class WorkerSpawner { PATH: process.env.PATH, // NODE_CHANNEL_FD is injected automatically by Node.js for the ipc stdio slot }; - return spawn(bwrapBin, WorkerSpawner.#buildBwrapArgs(sessionTempDir), { + const bwrapArgs = WorkerSpawner.#buildBwrapArgs(sessionTempDir); + logger.log(`[worker:${sessionId}] bwrap args: ${bwrapArgs.join(' ')}`); + + const worker = spawn(bwrapBin, bwrapArgs, { env: workerEnv, stdio: ['pipe', 'pipe', 'pipe', 'ipc'], }); + + // Capture bwrap's own stderr before the relay in WebSocket sets up its listener + const stderrChunks = []; + worker.stderr?.on('data', (d) => stderrChunks.push(d)); + + worker.once('exit', (code, signal) => { + if (!worker.connected && code !== 0 && code !== null) { + WorkerSpawner.#bwrapBroken = true; + const stderrText = Buffer.concat(stderrChunks).toString().trim(); + logger.error( + `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — sandbox unavailable.\n` + + (stderrText ? ` bwrap stderr: ${stderrText}\n` : '') + + 'Future workers will fall back to unsandboxed fork. Fix: ensure bwrap has SUID bit set\n' + + 'or that unprivileged user namespaces are enabled (sysctl kernel.unprivileged_userns_clone=1).' + ); + WorkerSpawner.#logBwrapDiagnostics(bwrapBin); + } + }); + return worker; + } + if (WorkerSpawner.#bwrapBroken) { + logger.warn(`[worker:${sessionId}] bwrap sandbox unavailable — spawning unsandboxed worker`); + } else { + logger.error( + '================================================================================\n' + + 'SECURITY WARNING: bwrap (bubblewrap) not found on Linux!\n' + + 'Agent workers will run WITHOUT filesystem sandbox isolation.\n' + + 'Install bubblewrap to enable sandboxing: apt install bubblewrap\n' + + 'DO NOT run this configuration for any publicly hosted service.\n' + + '================================================================================' + ); } - logger.error( - '================================================================================\n' + - 'SECURITY WARNING: bwrap (bubblewrap) not found on Linux!\n' + - 'Agent workers will run WITHOUT filesystem sandbox isolation.\n' + - 'Install bubblewrap to enable sandboxing: apt install bubblewrap\n' + - 'DO NOT run this configuration for any publicly hosted service.\n' + - '================================================================================' - ); } else { logger.warn( '================================================================================\n' + From 678b66054a5c627da84fa43209de9ba281a50317 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 10:59:22 -0400 Subject: [PATCH 084/226] try 2 for dealing with bwrap --- agent/AgentWorker.js | 42 +++++++++++++- agent/WorkerSpawner.js | 125 ++++++++++++++++++++++++++++++++++------- 2 files changed, 145 insertions(+), 22 deletions(-) diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index f9a17911..c01cf235 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -5,6 +5,12 @@ * Receives IPC messages from the main process, runs AgentOrchestrator, and * relays all outbound client messages back over IPC. * + * IPC transport: + * - Sandboxed (bwrap): Unix domain socket at WORKER_IPC_SOCKET, newline- + * delimited JSON. The socket lives in /session so it crosses the sandbox + * boundary without needing --forward-fd. + * - Unsandboxed (fork fallback): standard Node.js process IPC channel. + * * IPC messages IN (main → worker): * initialize – session data; must arrive before select_agent * select_agent – agentId; creates/replaces AgentOrchestrator @@ -27,6 +33,8 @@ import logger from '../utilities/logger.js'; import { join } from 'path'; import { fileURLToPath } from 'url'; import { dirname } from 'path'; +import net from 'net'; +import { createInterface } from 'readline'; const __dirname = dirname(fileURLToPath(import.meta.url)); @@ -53,8 +61,16 @@ class AgentWorker { // from the previous agent into the new session. #pendingIsAgentSwitch = false; + // IPC send function — overridden by #setupSocketIpc when using bwrap sandbox + #sendToMain = (msg) => process.send(msg); + constructor() { - process.on('message', (msg) => this.#handleMessage(msg)); + const ipcSocketPath = process.env.WORKER_IPC_SOCKET; + if (ipcSocketPath) { + this.#setupSocketIpc(ipcSocketPath); + } else { + process.on('message', (msg) => this.#handleMessage(msg)); + } process.on('uncaughtException', (err) => { logger.error(`[worker:${SESSION_ID}] Uncaught exception:`, err); @@ -67,7 +83,29 @@ class AgentWorker { }); } - #toMain(msg) { process.send(msg); } + #setupSocketIpc(socketPath) { + const sock = net.createConnection(socketPath); + + sock.on('error', (err) => { + logger.error(`[worker:${SESSION_ID}] IPC socket error: ${err.message}`); + process.exit(1); + }); + + this.#sendToMain = (msg) => { + if (!sock.destroyed) sock.write(JSON.stringify(msg) + '\n'); + }; + + const rl = createInterface({ input: sock, crlfDelay: Infinity }); + rl.on('line', (line) => { + if (!line.trim()) return; + try { this.#handleMessage(JSON.parse(line)); } + catch (e) { logger.error(`[worker:${SESSION_ID}] IPC parse error: ${e.message}`); } + }); + + rl.on('close', () => process.exit(0)); + } + + #toMain(msg) { this.#sendToMain(msg); } #toClient(msg) { this.#toMain({ type: 'to_client', message: msg }); } async #handleMessage(msg) { diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index c8b0ff64..fa5c98bb 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -1,13 +1,96 @@ import { spawn, fork } from 'child_process'; -import { existsSync, readFileSync, statSync } from 'fs'; +import { existsSync, readFileSync, statSync, unlink } from 'fs'; import { fileURLToPath } from 'url'; import { dirname, join } from 'path'; import { execSync } from 'child_process'; +import net from 'net'; +import { EventEmitter } from 'events'; import logger from '../utilities/logger.js'; const __dirname = dirname(fileURLToPath(import.meta.url)); const APP_ROOT = dirname(__dirname); // sd-ai root (parent of agent/) +/** + * Wraps a bwrap ChildProcess with a Unix-socket-based IPC channel. + * + * bwrap cannot pass the Node.js IPC fd (fd 3) into the sandbox. + * Instead we create a Unix domain socket inside the session temp dir + * (which maps to /session in the container) and use newline-delimited + * JSON over that socket as a drop-in replacement. + * + * The public API intentionally mirrors the subset of ChildProcess that + * WebSocket.js uses (.send, on('message'), .connected, .stdout, .stderr, + * .kill, on('exit'), on('error')). + */ +class IpcWorker extends EventEmitter { + #proc; + #server; + #socket = null; + #sendQueue = []; + #connected = true; // true while the process is still alive + #socketConnected = false; + + constructor(proc, socketPath) { + super(); + this.#proc = proc; + + this.#server = net.createServer((socket) => { + this.#socket = socket; + this.#socketConnected = true; + + for (const chunk of this.#sendQueue) socket.write(chunk); + this.#sendQueue = []; + + let buf = ''; + socket.on('data', (d) => { + buf += d.toString(); + let nl; + while ((nl = buf.indexOf('\n')) !== -1) { + const line = buf.slice(0, nl).trim(); + buf = buf.slice(nl + 1); + if (line) { + try { this.emit('message', JSON.parse(line)); } + catch { /* ignore malformed line */ } + } + } + }); + + socket.once('close', () => { this.#connected = false; }); + socket.on('error', (err) => this.emit('error', err)); + }); + + this.#server.on('error', (err) => this.emit('error', err)); + this.#server.listen(socketPath); + + proc.on('error', (err) => this.emit('error', err)); + proc.on('exit', (code, signal) => { + this.#connected = false; + this.#socket?.destroy(); + this.#server.close(); + unlink(socketPath, () => {}); + this.emit('exit', code, signal); + }); + } + + get stdout() { return this.#proc.stdout; } + get stderr() { return this.#proc.stderr; } + get stdin() { return this.#proc.stdin; } + get connected() { return this.#connected; } + get socketConnected() { return this.#socketConnected; } + + kill(signal) { this.#proc.kill(signal); } + + send(msg) { + const chunk = JSON.stringify(msg) + '\n'; + if (this.#socket && !this.#socket.destroyed) { + this.#socket.write(chunk); + } else if (this.#connected) { + this.#sendQueue.push(chunk); // worker hasn't connected yet; drain on connect + } + // silently drop if the process has already exited + } +} + export class WorkerSpawner { static CONTAINER_SESSION_PATH = '/session'; static #WORKER_PATH = join(__dirname, 'AgentWorker.js'); @@ -62,10 +145,12 @@ export class WorkerSpawner { * - APP_ROOT → /app: application code including node_modules (read-only) * - Node binary dir (if outside /usr, e.g. nvm): additional read-only bind * - Claude binary dir (if outside /usr): additional read-only bind - * - sessionTempDir → /session: the ONLY writable location + * - sessionTempDir → /session: the ONLY writable location; also hosts ipc.sock * - /dev, /proc: required pseudo-filesystems for Node.js - * - /tmp: tmpfs (ephemeral scratch, not writable by agent since all writes go to /session) - * - --forward-fd 3: preserve the Node.js IPC socket fd across the exec boundary + * - /tmp: tmpfs (ephemeral scratch) + * + * IPC is handled via a Unix domain socket at /session/ipc.sock rather than + * Node.js IPC fd forwarding, so no --forward-fd flag is needed. */ static #buildBwrapArgs(sessionTempDir) { const nodeBin = process.execPath; @@ -110,8 +195,6 @@ export class WorkerSpawner { '--tmpfs', '/tmp', '--unshare-pid', '--unshare-uts', '--hostname', 'agent', - // Forward the Node.js IPC socket fd (always fd 3 with stdio: [..., 'ipc']) - '--forward-fd', '3', '--', nodeBin, '/app/agent/AgentWorker.js' @@ -125,53 +208,55 @@ export class WorkerSpawner { * * On Linux with bwrap installed: runs inside a bubblewrap container where * only the session temp dir is writable and most of the filesystem is - * either read-only or not mounted at all. + * either read-only or not mounted at all. IPC uses a Unix domain socket + * at /ipc.sock (mapped to /session/ipc.sock in the sandbox) + * rather than Node.js IPC fd forwarding, so no --forward-fd support is needed. * * On Linux without bwrap, macOS, or Windows: falls back to a plain fork * with a prominent warning. Use Linux + bwrap for any publicly hosted * deployment. * - * Returns a ChildProcess with an active IPC channel (.send() / on('message')). + * Returns an IpcWorker (bwrap) or ChildProcess (fork) — both expose the + * same .send() / on('message') / .connected interface used by WebSocket.js. */ static spawn(sessionId, sessionTempDir) { if (process.platform === 'linux') { const bwrapBin = WorkerSpawner.#findBinary('bwrap'); if (bwrapBin && !WorkerSpawner.#bwrapBroken) { logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap`); + + const socketPath = join(sessionTempDir, 'ipc.sock'); const workerEnv = { OPENAI_API_KEY: process.env.OPENAI_API_KEY, GOOGLE_API_KEY: process.env.GOOGLE_API_KEY, ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY, SESSION_ID: sessionId, SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, + WORKER_IPC_SOCKET: WorkerSpawner.CONTAINER_SESSION_PATH + '/ipc.sock', PATH: process.env.PATH, - // NODE_CHANNEL_FD is injected automatically by Node.js for the ipc stdio slot }; const bwrapArgs = WorkerSpawner.#buildBwrapArgs(sessionTempDir); logger.log(`[worker:${sessionId}] bwrap args: ${bwrapArgs.join(' ')}`); - const worker = spawn(bwrapBin, bwrapArgs, { + const proc = spawn(bwrapBin, bwrapArgs, { env: workerEnv, - stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + stdio: ['pipe', 'pipe', 'pipe'], }); - // Capture bwrap's own stderr before the relay in WebSocket sets up its listener - const stderrChunks = []; - worker.stderr?.on('data', (d) => stderrChunks.push(d)); + const worker = new IpcWorker(proc, socketPath); worker.once('exit', (code, signal) => { - if (!worker.connected && code !== 0 && code !== null) { + if (!worker.socketConnected && code !== 0 && code !== null) { WorkerSpawner.#bwrapBroken = true; - const stderrText = Buffer.concat(stderrChunks).toString().trim(); logger.error( - `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — sandbox unavailable.\n` + - (stderrText ? ` bwrap stderr: ${stderrText}\n` : '') + - 'Future workers will fall back to unsandboxed fork. Fix: ensure bwrap has SUID bit set\n' + - 'or that unprivileged user namespaces are enabled (sysctl kernel.unprivileged_userns_clone=1).' + `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — sandbox unavailable. See stderr above.\n` + + 'Future workers will fall back to unsandboxed fork.\n' + + 'Fix: update bubblewrap (apt-get upgrade bubblewrap) or ensure user namespaces are enabled.' ); WorkerSpawner.#logBwrapDiagnostics(bwrapBin); } }); + return worker; } if (WorkerSpawner.#bwrapBroken) { From ce1e1ea71a13fad92ee6a24062b7ee9e30248d5e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 11:15:15 -0400 Subject: [PATCH 085/226] more sandboxing for linux issues --- agent/WorkerSpawner.js | 41 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 36 insertions(+), 5 deletions(-) diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index fa5c98bb..90032e05 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -104,9 +104,10 @@ export class WorkerSpawner { static #logBwrapDiagnostics(bwrapBin) { const lines = ['bwrap sandbox diagnostics:']; + let isSetuid = false; try { const st = statSync(bwrapBin); - const isSetuid = (st.mode & 0o4000) !== 0; + isSetuid = (st.mode & 0o4000) !== 0; lines.push(` bwrap binary : ${bwrapBin} (mode=${st.mode.toString(8)}, setuid=${isSetuid})`); } catch (e) { lines.push(` bwrap binary : stat failed — ${e.message}`); @@ -115,11 +116,12 @@ export class WorkerSpawner { for (const sysctl of [ '/proc/sys/kernel/unprivileged_userns_clone', '/proc/sys/user/max_user_namespaces', + '/proc/sys/kernel/apparmor_restrict_unprivileged_userns', ]) { try { lines.push(` ${sysctl} = ${readFileSync(sysctl, 'utf8').trim()}`); } catch { - lines.push(` ${sysctl} = (not readable)`); + lines.push(` ${sysctl} = (not present)`); } } @@ -129,9 +131,16 @@ export class WorkerSpawner { lines.push(` process CapEff: ${capEff ?? 'unknown'}`); } catch { /* ignore */ } - try { - lines.push(` running in container: ${existsSync('/.dockerenv') ? 'yes (docker)' : 'no'}`); - } catch { /* ignore */ } + for (const f of ['/.dockerenv', '/run/.containerenv']) { + if (existsSync(f)) { lines.push(` container marker: ${f}`); break; } + } + + lines.push(''); + if (!isSetuid) { + lines.push(' Most reliable fix: sudo chmod u+s ' + bwrapBin); + lines.push(' Ubuntu 24.04 alternative: sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0'); + lines.push(' LXC/Proxmox: enable nested user namespaces in the container config'); + } logger.error(lines.join('\n')); } @@ -145,6 +154,8 @@ export class WorkerSpawner { * - APP_ROOT → /app: application code including node_modules (read-only) * - Node binary dir (if outside /usr, e.g. nvm): additional read-only bind * - Claude binary dir (if outside /usr): additional read-only bind + * - Any non-/usr directories in PATH (e.g. python venv): read-only bind of + * the venv root (detected via pyvenv.cfg) or the directory itself * - sessionTempDir → /session: the ONLY writable location; also hosts ipc.sock * - /dev, /proc: required pseudo-filesystems for Node.js * - /tmp: tmpfs (ephemeral scratch) @@ -188,6 +199,23 @@ export class WorkerSpawner { args.push('--ro-bind', claudeDir, claudeDir); } + // Mount any non-/usr directories from PATH (e.g. python venv). + // If a directory's parent contains pyvenv.cfg we mount the whole venv root + // so that the Python interpreter can find its site-packages and stdlib. + const alreadyMounted = new Set(); + for (const dir of (process.env.PATH || '').split(':')) { + if (!dir || dir.startsWith('/usr') || !existsSync(dir)) continue; + const parent = dirname(dir); + const mountTarget = existsSync(join(parent, 'pyvenv.cfg')) ? parent : dir; + if (alreadyMounted.has(mountTarget)) continue; + alreadyMounted.add(mountTarget); + const parts = mountTarget.split('/').filter(Boolean); + for (let i = 1; i < parts.length; i++) { + args.push('--dir', '/' + parts.slice(0, i).join('/')); + } + args.push('--ro-bind', mountTarget, mountTarget); + } + args.push( '--bind', sessionTempDir, WorkerSpawner.CONTAINER_SESSION_PATH, '--dev', '/dev', @@ -233,6 +261,9 @@ export class WorkerSpawner { SESSION_ID: sessionId, SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, WORKER_IPC_SOCKET: WorkerSpawner.CONTAINER_SESSION_PATH + '/ipc.sock', + // claude CLI requires HOME to locate ~/.claude/ for config and session state. + // Point it at /session so each sandbox gets a fresh, writable home dir. + HOME: WorkerSpawner.CONTAINER_SESSION_PATH, PATH: process.env.PATH, }; const bwrapArgs = WorkerSpawner.#buildBwrapArgs(sessionTempDir); From 09284c27d798a4a8e8fb7c0bc4aa626ffd40a625 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 11:24:27 -0400 Subject: [PATCH 086/226] make sure there is always a place to put the socket --- agent/WorkerSpawner.js | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 90032e05..0fa70b07 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -1,5 +1,5 @@ import { spawn, fork } from 'child_process'; -import { existsSync, readFileSync, statSync, unlink } from 'fs'; +import { existsSync, readFileSync, statSync, unlink, mkdirSync } from 'fs'; import { fileURLToPath } from 'url'; import { dirname, join } from 'path'; import { execSync } from 'child_process'; @@ -253,6 +253,7 @@ export class WorkerSpawner { if (bwrapBin && !WorkerSpawner.#bwrapBroken) { logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap`); + mkdirSync(sessionTempDir, { recursive: true }); const socketPath = join(sessionTempDir, 'ipc.sock'); const workerEnv = { OPENAI_API_KEY: process.env.OPENAI_API_KEY, From 5a55cc06d4e7bb3d90cb50928060446b6ebf5f2a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 11:32:03 -0400 Subject: [PATCH 087/226] make it possible to switch agents in production? --- agent/AgentWorker.js | 5 ++++- agent/WorkerSpawner.js | 3 ++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index c01cf235..65013474 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -187,7 +187,10 @@ class AgentWorker { case 'shutdown': { const session = this.#sessionManager.getSession(SESSION_ID); - if (session) this.#sessionManager.deleteSession(SESSION_ID); + if (session) { + try { this.#sessionManager.deleteSession(SESSION_ID); } + catch { /* bind-mount root can't be rmdir'd from inside the sandbox */ } + } process.exit(0); break; } diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 0fa70b07..0a4bd29e 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -1,5 +1,5 @@ import { spawn, fork } from 'child_process'; -import { existsSync, readFileSync, statSync, unlink, mkdirSync } from 'fs'; +import { existsSync, readFileSync, statSync, unlink, unlinkSync, mkdirSync } from 'fs'; import { fileURLToPath } from 'url'; import { dirname, join } from 'path'; import { execSync } from 'child_process'; @@ -60,6 +60,7 @@ class IpcWorker extends EventEmitter { }); this.#server.on('error', (err) => this.emit('error', err)); + try { unlinkSync(socketPath); } catch { /* no stale socket to remove */ } this.#server.listen(socketPath); proc.on('error', (err) => this.emit('error', err)); From 9956313870aad7fc946be3f08cd9220b346f0529 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 11:38:53 -0400 Subject: [PATCH 088/226] unique socket names so we can switch agents painlessly --- agent/WorkerSpawner.js | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 0a4bd29e..452a6e8e 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -1,5 +1,6 @@ import { spawn, fork } from 'child_process'; import { existsSync, readFileSync, statSync, unlink, unlinkSync, mkdirSync } from 'fs'; +import { randomBytes } from 'crypto'; import { fileURLToPath } from 'url'; import { dirname, join } from 'path'; import { execSync } from 'child_process'; @@ -255,14 +256,17 @@ export class WorkerSpawner { logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap`); mkdirSync(sessionTempDir, { recursive: true }); - const socketPath = join(sessionTempDir, 'ipc.sock'); + // Unique name per spawn so the old IpcWorker's async unlink-on-exit + // never races with the new IpcWorker's socket (agent-switch scenario). + const socketName = `ipc-${randomBytes(4).toString('hex')}.sock`; + const socketPath = join(sessionTempDir, socketName); const workerEnv = { OPENAI_API_KEY: process.env.OPENAI_API_KEY, GOOGLE_API_KEY: process.env.GOOGLE_API_KEY, ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY, SESSION_ID: sessionId, SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, - WORKER_IPC_SOCKET: WorkerSpawner.CONTAINER_SESSION_PATH + '/ipc.sock', + WORKER_IPC_SOCKET: `${WorkerSpawner.CONTAINER_SESSION_PATH}/${socketName}`, // claude CLI requires HOME to locate ~/.claude/ for config and session state. // Point it at /session so each sandbox gets a fresh, writable home dir. HOME: WorkerSpawner.CONTAINER_SESSION_PATH, From bdc5a3816479f11891c7f3364a3742f9f5f41785 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 11:45:39 -0400 Subject: [PATCH 089/226] leave sandbox cleanup to the spawner --- agent/AgentWorker.js | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 65013474..44374b09 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -186,11 +186,9 @@ class AgentWorker { } case 'shutdown': { - const session = this.#sessionManager.getSession(SESSION_ID); - if (session) { - try { this.#sessionManager.deleteSession(SESSION_ID); } - catch { /* bind-mount root can't be rmdir'd from inside the sandbox */ } - } + // Temp-dir cleanup is the host SessionManager's responsibility. + // Inside the bwrap sandbox /session is a bind mount and can't be + // rmdir'd; in the fork fallback the host also calls deleteSession. process.exit(0); break; } From 49631d473bdf49a4d32515836c44662a3cf5ea07 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 11:49:58 -0400 Subject: [PATCH 090/226] if bwrap breaks, don't automatically fallover to unsafe stuff --- agent/WorkerSpawner.js | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 452a6e8e..44b0f9e0 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -97,6 +97,10 @@ export class WorkerSpawner { static CONTAINER_SESSION_PATH = '/session'; static #WORKER_PATH = join(__dirname, 'AgentWorker.js'); static #bwrapBroken = false; // set true on first bwrap sandbox failure + // Set ALLOW_UNSANDBOXED_FALLBACK=true to allow unsandboxed fork workers when + // bwrap fails at runtime. Defaults to false so a sandbox failure is a hard + // error rather than a silent security regression. + static #allowUnsandboxedFallback = process.env.ALLOW_UNSANDBOXED_FALLBACK === 'true'; static #findBinary(name) { try { return execSync(`which ${name}`, { encoding: 'utf8' }).trim(); } @@ -285,9 +289,12 @@ export class WorkerSpawner { worker.once('exit', (code, signal) => { if (!worker.socketConnected && code !== 0 && code !== null) { WorkerSpawner.#bwrapBroken = true; + const fallbackNote = WorkerSpawner.#allowUnsandboxedFallback + ? 'Future workers will fall back to unsandboxed fork (ALLOW_UNSANDBOXED_FALLBACK=true).' + : 'Worker spawning will now FAIL until bwrap is fixed (set ALLOW_UNSANDBOXED_FALLBACK=true to override).'; logger.error( `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — sandbox unavailable. See stderr above.\n` + - 'Future workers will fall back to unsandboxed fork.\n' + + fallbackNote + '\n' + 'Fix: update bubblewrap (apt-get upgrade bubblewrap) or ensure user namespaces are enabled.' ); WorkerSpawner.#logBwrapDiagnostics(bwrapBin); @@ -297,6 +304,9 @@ export class WorkerSpawner { return worker; } if (WorkerSpawner.#bwrapBroken) { + if (!WorkerSpawner.#allowUnsandboxedFallback) { + throw new Error('bwrap sandbox is unavailable and ALLOW_UNSANDBOXED_FALLBACK is not set — refusing to spawn unsandboxed worker'); + } logger.warn(`[worker:${sessionId}] bwrap sandbox unavailable — spawning unsandboxed worker`); } else { logger.error( From 68640d7e70277d59a541e3f227ab8ed9bc090cd2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 13:20:37 -0400 Subject: [PATCH 091/226] try to snipe SMOOTH builtin out! --- agent/utilities/AgentConfigurationManager.js | 1 + 1 file changed, 1 insertion(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 179e500d..33fe2b36 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -39,6 +39,7 @@ NEVER switch between CLD and SFD during a session. - AVOID using MIN/MAX functions to clamp stocks to zero - they mask the underlying structural problem. Fix the model structure instead. - Unit warnings are NOT cosmetic, they are important and MUST to be fixed - Use // for safe division (e.g., a // b) - this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero +- Use XMILE builtin function names: SMTH1, SMTH3, DELAY1, DELAY3, etc. — NOT SMOOTH1, SMOOTH3, or other non-XMILE variants ## CRITICAL: Visualization Requests When a user requests a visualization: From d44cffad2380e969d05f47ec55c6d7ca3f78f71a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 29 Apr 2026 13:32:37 -0400 Subject: [PATCH 092/226] deal with overloaded anthropic! --- agent/AgentOrchestrator.js | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 52db4818..be373161 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -598,12 +598,16 @@ export class AgentOrchestrator { } catch (error) { const isOverloaded = error?.status === 529 || error?.error?.type === 'overloaded_error'; - if (isOverloaded && overloadedRetries < 3) { + const isNetworkError = error?.cause?.code === 'UND_ERR_SOCKET' || error?.code === 'UND_ERR_SOCKET' || + error?.code === 'ECONNRESET' || error?.cause?.code === 'ECONNRESET' || + (error instanceof TypeError && error.message === 'terminated'); + if ((isOverloaded || isNetworkError) && overloadedRetries < 3) { overloadedRetries++; - logger.warn(`Anthropic API overloaded (529), retry ${overloadedRetries}/3`); + const reason = isOverloaded ? 'overloaded (529)' : 'network error'; + logger.warn(`Anthropic API ${reason}, retry ${overloadedRetries}/3`); await this.sendToClient(createAgentTextMessage( this.sessionId, - 'The AI service is temporarily overloaded. Retrying...' + isOverloaded ? 'The AI service is temporarily overloaded. Retrying...' : 'Network connection interrupted. Retrying...' )); await new Promise(resolve => setTimeout(resolve, 5000)); } else if (isOverloaded) { From ce480a97c261f303225206a811f96093965a244d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 30 Apr 2026 07:00:48 -0400 Subject: [PATCH 093/226] handle missing feedback much more gracefully --- agent/tools/BuiltInToolProvider.js | 4 +- agent/tools/builtin/discussModelAcrossRuns.js | 6 +++ agent/tools/builtin/discussModelWithSeldon.js | 6 +++ agent/tools/builtin/discussWithMentor.js | 44 ++++++++++++++++++- agent/tools/builtin/generateLtmNarrative.js | 42 +++++++++++++++--- 5 files changed, 93 insertions(+), 9 deletions(-) diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index f5631306..3b106d0e 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -71,8 +71,8 @@ export class BuiltInToolProvider { discuss_model_with_seldon: createDiscussModelWithSeldonTool(this.sessionManager, this.sessionId, this.sendToClient), discuss_model_across_runs: createDiscussModelAcrossRunsTool(this.sessionManager, this.sessionId, this.sendToClient), generate_documentation: createGenerateDocumentationTool(this.sessionManager, this.sessionId, this.sendToClient), - generate_ltm_narrative: createGenerateLtmNarrativeTool(this.sessionManager, this.sessionId), - discuss_with_mentor: createDiscussWithMentorTool(this.sessionManager, this.sessionId), + generate_ltm_narrative: createGenerateLtmNarrativeTool(this.sessionManager, this.sessionId, this.sendToClient), + discuss_with_mentor: createDiscussWithMentorTool(this.sessionManager, this.sessionId, this.sendToClient), get_feedback_information: createGetFeedbackInformationTool(this.sessionManager, this.sessionId, this.sendToClient), get_current_model: createGetCurrentModelTool(this.sessionManager, this.sessionId, this.sendToClient), update_model: createUpdateModelTool(this.sessionManager, this.sessionId, this.sendToClient), diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index 4d9cb288..e0589119 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -73,6 +73,12 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send const feedbackData = await resultPromise; + // Write feedback to disk instead of passing directly into context + sessionManager.writeDataToDisk(sessionId, 'feedback.json', { + feedbackContent: feedbackData.feedbackContent, + runIds: feedbackData.runIds + }); + // Retry the call with comparative feedback information const retryParams = { ...parameters, diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 54b558a9..88cd135f 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -66,6 +66,12 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send const feedbackData = await resultPromise; + // Write feedback to disk instead of passing directly into context + sessionManager.writeDataToDisk(sessionId, 'feedback.json', { + feedbackContent: feedbackData.feedbackContent, + runIds: feedbackData.runIds + }); + // Retry the call with feedback information const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent, parameters); diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index e2ab0f7f..e590dd6a 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -1,13 +1,14 @@ import { z } from 'zod'; import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; +import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; -import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Ask thoughtful questions to the user to guide their learning */ -export function createDiscussWithMentorTool(sessionManager, sessionId) { +export function createDiscussWithMentorTool(sessionManager, sessionId, sendToClient) { return { description: 'Ask thoughtful questions to the user to guide their learning and help them think through System Dynamics concepts. Use this to engage users in Socratic dialogue about their model.', supportedModes: ['sfd', 'cld'], @@ -38,6 +39,45 @@ export function createDiscussWithMentorTool(sessionManager, sessionId) { return createErrorResponse(result.error); } + // Check if feedback information is required but not provided + if (result.output.feedbackInformationRequired && !feedbackContent) { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); + + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + // Write feedback to disk instead of passing directly into context + sessionManager.writeDataToDisk(sessionId, 'feedback.json', { + feedbackContent: feedbackData.feedbackContent, + runIds: feedbackData.runIds + }); + + const retryResult = await callSeldonMentorEngine(prompt, model, feedbackData.feedbackContent, parameters); + + if (!retryResult.success) { + return createErrorResponse(retryResult.error); + } + + return createSuccessResponse(retryResult.output); + } + return createSuccessResponse(result.output); } catch (error) { return createErrorResponse(error.message); diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 92ffa779..4c79818a 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -1,13 +1,14 @@ import { z } from 'zod'; import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; +import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callLTMEngine } from '../../utilities/EngineWrapper.js'; -import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** * Generate a narrative explanation of feedback loops and their influence on model behavior */ -export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { +export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendToClient) { return { description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', supportedModes: ['sfd'], @@ -27,10 +28,41 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId) { const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); - if (!existsSync(feedbackPath)) { - return createErrorResponse('Feedback information not available. Call get_feedback_information first.'); + let feedbackContent = existsSync(feedbackPath) + ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent + : undefined; + + if (!feedbackContent) { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + + const requestId = generateRequestId('feedback'); + + await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); + + const resultPromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Feedback request timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingFeedbackRequests) { + session.pendingFeedbackRequests = new Map(); + } + session.pendingFeedbackRequests.set(requestId, { resolve, reject, timeout }); + }); + + const feedbackData = await resultPromise; + + // Write feedback to disk instead of passing directly into context + sessionManager.writeDataToDisk(sessionId, 'feedback.json', { + feedbackContent: feedbackData.feedbackContent, + runIds: feedbackData.runIds + }); + + feedbackContent = feedbackData.feedbackContent; } - const feedbackContent = JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent; const result = await callLTMEngine(model, feedbackContent, parameters); From 42dded03c896381dccfcbf9d3165748b0f71ab78 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 30 Apr 2026 07:07:49 -0400 Subject: [PATCH 094/226] don't even put blank models in the session --- agent/tools/builtin/clientInteractionTools.js | 7 ------- 1 file changed, 7 deletions(-) diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index d6ce7a48..05f43e91 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -50,16 +50,9 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien const modelData = await resultPromise; const parsed = GetCurrentModelResponseSchema.parse(modelData); - // If the session has no model yet (empty variables), return it directly into context - if (!session.clientModel?.variables?.length) { - return createSuccessResponse(parsed); - } - const { modelPath, message } = sessionManager.updateClientModel(sessionId, parsed); return createSuccessResponse({ message, modelPath }); - - // return createSuccessResponse(parsed); } catch (error) { return createErrorResponse(`Failed to get current model: ${error.message}`, error); } From 4cac0099c8841cf5b686c2aa5594fe57b0c1e817 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 30 Apr 2026 07:46:52 -0400 Subject: [PATCH 095/226] fixed edit model tools, and added the auto layout tool --- agent/config/merlin.md | 32 ++++-------- agent/config/socrates.md | 34 +++++-------- agent/tools/builtin/largeModelTools.js | 69 ++++++++++++++------------ agent/utilities/MessageProtocol.js | 1 + 4 files changed, 61 insertions(+), 75 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 67f2815f..8320527e 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -24,9 +24,8 @@ IMPORTANT RULES: 6. Explain the theoretical basis for your modeling decisions 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! 8. Assume NO limits on complexity - build comprehensive models as needed -9. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. -10. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. -11. After building or significantly modifying a model, explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). Do not proceed to sensitivity analysis or optimization until the model has earned its credibility. +9. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. +10. After building or significantly modifying a model, explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). Do not proceed to sensitivity analysis or optimization until the model has earned its credibility. ## Loops That Matter (LTM) Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. @@ -182,24 +181,6 @@ Create analytical visualizations: **Verbosity level:** medium **Tone:** professional, confident, efficient -## Error Handling -**On tool failure:** -- retry: false -- explain_error: true -- suggest_alternative: true - -**On invalid model:** -- describe_issues: true -- offer_fixes: true -- use_tools: update_model -- explain_theory: true - -**On simulation failure:** -- show_error: true -- diagnose: true -- suggest_model_fixes: true -- explain_likely_causes: true - ## Constraints **Maximum model complexity:** - variables: Unlimited - build as complex as needed for accuracy @@ -295,6 +276,12 @@ Runs a sensitivity analysis. Long-running (minutes to hours). - `variablesToPlot` (array of strings, optional) — output variables to auto-plot - Returns: `{ status: "completed" }` +#### Diagram Tools + +**`auto_layout_model`** +Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. +- `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model + --- ### Tool Usage Policies @@ -337,6 +324,9 @@ Runs a sensitivity analysis. Long-running (minutes to hours). #### `run_sensitivity` *(sfd only)* **When to use:** After creating a sensitivity analysis. Always pass `variablesToPlot` with the key output variables. +#### `auto_layout_model` *(sfd + cld)* +**When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. + --- ### Action Sequences diff --git a/agent/config/socrates.md b/agent/config/socrates.md index f38e5e09..5f96daaf 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -31,14 +31,13 @@ IMPORTANT RULES: 8. Keep models simple and educational by default, but you are allowed to build more complex models if the user asks — when doing so, iterate with the user through the complexity incrementally rather than building it all at once 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! 10. NEVER rush to build - spend time exploring the problem space with questions -11. If the user asks you to do something you don't have the ability to do (e.g. adjusting the layout of the diagram), tell them clearly that you don't have that ability. -12. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. -13. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models +11. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. +12. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - First call get_variable_data to get time series data for key variables - Then call create_visualization to generate charts - Users learn better when they can SEE the model behavior - Visualizations make abstract feedback loops concrete and observable -14. After building or significantly modifying a model, help the user explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). +13. After building or significantly modifying a model, help the user explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). ## Loops That Matter (LTM) Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. @@ -258,24 +257,6 @@ Focus on educational validation: **Verbosity level:** medium **Tone:** direct, professional, questioning - never patronizing -## Error Handling -**On tool failure:** -- retry: false -- explain_error: true -- suggest_alternative: true - -**On invalid model:** -- describe_issues: true -- offer_fixes: true -- use_tools: update_model -- explain_simply: true - -**On simulation failure:** -- show_error: true -- diagnose: true -- suggest_model_fixes: true -- explain_in_simple_terms: true - ## Constraints **Maximum model complexity:** - variables: User-specified (ask first, default to simple 5-10 variables) @@ -373,6 +354,12 @@ Runs a sensitivity analysis. Can take a long time. - `variablesToPlot` (array of strings, optional) — key output variables to plot automatically - Returns: `{ status: "completed" }` +#### Diagram Tools + +**`auto_layout_model`** +Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. +- `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model + --- ### Tool Usage Policies @@ -419,6 +406,9 @@ Runs a sensitivity analysis. Can take a long time. #### `run_sensitivity` *(sfd only)* **When to use:** After creating a sensitivity analysis. Pass `variablesToPlot` with the key output variables. +#### `auto_layout_model` *(sfd + cld)* +**When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. + --- ### Action Sequences diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index ed9551ec..969f1fe1 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -184,8 +184,8 @@ You can edit: * Variable Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?} * For ADD operation: Array of variable objects Example: [{name: "Population", type: "stock", equation: "1000"}, {name: "births", type: "flow", equation: "Population*0.1"}] - * For UPDATE operation: Single variable object with name field (required) and fields to update - Example: {name: "Population", equation: "2000", documentation: "Total population"} + * For UPDATE operation: Array of variable objects, each with name field (required) and fields to update + Example: [{name: "Population", equation: "2000"}, {name: "births", type: "flow", equation: "Population*0.1"}] * For REMOVE operation: Array of variable name strings Example: ["Population", "births", "deaths"] - relationships: Add, update, or remove relationships. @@ -272,8 +272,8 @@ After editing, the model is validated and processed through the quantitative eng crossLevelGhostOf: z.string().optional(), graphicalFunction: z.any().optional() })), - // For variables update - single variable object with name (required) - z.object({ + // For variables update - array of variable objects with name (required), type optional + z.array(z.object({ name: z.string(), newName: z.string().optional(), type: z.enum(['stock', 'flow', 'variable']).optional(), @@ -287,7 +287,7 @@ After editing, the model is validated and processed through the quantitative eng arrayEquations: z.array(z.any()).optional(), crossLevelGhostOf: z.string().optional(), graphicalFunction: z.any().optional() - }), + })), // For variables remove - array of strings z.array(z.string()), // For relationships add - array of relationships @@ -398,45 +398,50 @@ After editing, the model is validated and processed through the quantitative eng model.variables.push(...varsToAdd); } else if (operation === 'update') { - const varName = data.name; - if (!varName) { - return handleError('Error: Must specify "name" field to update a variable'); + if (!Array.isArray(data)) { + return handleError('Error: For variables update operation, data must be an array of variable objects. Example: [{name: "Population", equation: "2000"}]'); } - const index = model.variables.findIndex(v => v.name === varName); - if (index >= 0) { - const oldVariable = model.variables[index]; - const oldName = oldVariable.name; + for (const update of data) { + const varName = update.name; + if (!varName) { + return handleError('Error: Must specify "name" field to update a variable'); + } + const index = model.variables.findIndex(v => v.name === varName); + if (index >= 0) { + const oldVariable = model.variables[index]; + const oldName = oldVariable.name; - const isRenamed = data.newName && data.newName !== oldName; + const isRenamed = update.newName && update.newName !== oldName; - if (isRenamed) { - const newName = data.newName; - const oldNameXMILE = oldName.replace(/ /g, '_'); - const newNameXMILE = newName.replace(/ /g, '_'); + if (isRenamed) { + const newName = update.newName; + const oldNameXMILE = oldName.replace(/ /g, '_'); + const newNameXMILE = newName.replace(/ /g, '_'); - const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); + const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); - for (const variable of model.variables) { - if (variable.equation && varRegex.test(variable.equation)) { - variable.equation = variable.equation.replace(varRegex, newNameXMILE); - } + for (const variable of model.variables) { + if (variable.equation && varRegex.test(variable.equation)) { + variable.equation = variable.equation.replace(varRegex, newNameXMILE); + } - if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { - for (const ae of variable.arrayEquations) { - if (ae.equation && varRegex.test(ae.equation)) { - ae.equation = ae.equation.replace(varRegex, newNameXMILE); + if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { + for (const ae of variable.arrayEquations) { + if (ae.equation && varRegex.test(ae.equation)) { + ae.equation = ae.equation.replace(varRegex, newNameXMILE); + } } } } + + update.name = newName; + delete update.newName; } - data.name = newName; - delete data.newName; + model.variables[index] = { ...model.variables[index], ...update }; + } else { + return handleError(`Error: Variable "${varName}" not found`); } - - model.variables[index] = { ...model.variables[index], ...data }; - } else { - return handleError(`Error: Variable "${varName}" not found`); } } else if (operation === 'remove') { if (!Array.isArray(data)) { diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 53a94947..0e984cfd 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -112,6 +112,7 @@ export const InitializeSessionMessageSchema = z.object({ authenticationKey: z.string().describe('Authentication key for server access'), clientProduct: z.string().describe('Client product name (e.g., "sd-web", "sd-desktop")'), clientVersion: z.string().describe('Client version (e.g., "1.0.0")'), + clientId: z.string().describe('A unique identifier for the end user of this session. Currently un-used'), mode: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), model: SDModelSchema, tools: z.array(ToolDefinitionSchema).describe('Array of client-side tools available for the agent to call'), From 25fb29f0426ce4f00d2ea1c33b98b0e411aec4cc Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 30 Apr 2026 08:48:54 -0400 Subject: [PATCH 096/226] clientId is not required --- agent/utilities/MessageProtocol.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 0e984cfd..c69dabe2 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -112,7 +112,7 @@ export const InitializeSessionMessageSchema = z.object({ authenticationKey: z.string().describe('Authentication key for server access'), clientProduct: z.string().describe('Client product name (e.g., "sd-web", "sd-desktop")'), clientVersion: z.string().describe('Client version (e.g., "1.0.0")'), - clientId: z.string().describe('A unique identifier for the end user of this session. Currently un-used'), + clientId: z.string().optional().describe('A unique identifier for the end user of this session. Currently un-used'), mode: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), model: SDModelSchema, tools: z.array(ToolDefinitionSchema).describe('Array of client-side tools available for the agent to call'), From c04161d480ed6b8c92d0772b298a631a8b98fe31 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 30 Apr 2026 10:43:19 -0400 Subject: [PATCH 097/226] tell seldon to be brief when called internally --- agent/utilities/EngineWrapper.js | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/agent/utilities/EngineWrapper.js b/agent/utilities/EngineWrapper.js index 6835ee35..7f44dc3f 100644 --- a/agent/utilities/EngineWrapper.js +++ b/agent/utilities/EngineWrapper.js @@ -6,6 +6,8 @@ import SeldonILEEngine from '../../engines/seldon-ile-user/engine.js'; import DocumentationEngine from '../../engines/generate-documentation/engine.js'; import SeldonMentorEngine from '../../engines/seldon-mentor/engine.js'; import LTMEngine from '../../engines/ltm-narrative/engine.js'; +import SeldonEngineBrain from '../../engines/seldon/SeldonBrain.js'; +import SeldonILEUserBrain from '../../engines/seldon-ile-user/SeldonILEUserBrain.js'; /** * EngineWrapper @@ -84,6 +86,9 @@ export async function callSeldonEngine(prompt, model, feedbackContent, parameter ...(feedbackContent && { feedbackContent }) }; + const beBrief = "\n\n**CRITICAL**\nBe brief in your response."; + seldonParams.systemPrompt = SeldonEngineBrain.DEFAULT_SYSTEM_PROMPT + beBrief + const result = await engine.generate(prompt, model, seldonParams); return { @@ -114,6 +119,10 @@ export async function callSeldonILEEngine(prompt, model, runName, parameters = { currentRunName: runName }; + const beBrief = "\n\n**CRITICAL**\nBe brief in your response."; + seldonParams.systemPrompt = SeldonILEUserBrain.DEFAULT_SYSTEM_PROMPT + beBrief + + const result = await engine.generate(prompt, model, seldonParams); return { @@ -199,6 +208,9 @@ export async function callSeldonMentorEngine(prompt, model, feedbackContent, par ...(feedbackContent && { feedbackContent }) }; + const beBrief = "\n\n**CRITICAL**\nBe brief in your response."; + seldonParams.systemPrompt = SeldonEngineBrain.MENTOR_SYSTEM_PROMPT + beBrief + const result = await engine.generate(prompt, model, mentorParams); return { From 3afd9faadb06d712db25c1444e71f440303d2574 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 07:40:43 -0400 Subject: [PATCH 098/226] changed the visualization engine to be file based --- agent/tools/builtin/createVisualization.js | 79 +++++++++++++++++--- agent/utilities/AgentConfigurationManager.js | 23 +++--- agent/utilities/MessageProtocol.js | 4 + 3 files changed, 82 insertions(+), 24 deletions(-) diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index 8c3a4245..77a1d7d0 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -1,4 +1,6 @@ import { z } from 'zod'; +import { readFileSync, existsSync } from 'fs'; +import { join } from 'path'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; /** @@ -18,8 +20,8 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu supportedModes: ['sfd'], inputSchema: z.object({ type: z.enum(['time_series', 'phase_portrait', 'feedback_dominance', 'comparison']).optional(), - data: z.object({}).passthrough().describe('The data to visualize (time series format or feedback loop data)'), - variables: z.array(z.string()).describe('Variables to include in visualization'), + filePath: z.string().describe('Path to the data file. Use the filePath returned by get_variable_data for time_series/phase_portrait/comparison; use the feedback.json path for feedback_dominance.'), + variables: z.array(z.string()).optional().describe('Variables to include — defaults to all variables in the data file'), title: z.string().describe('Visualization title'), description: z.string().optional().describe('Description of what the visualization shows'), usePython: z.boolean().optional().describe('Use Python/matplotlib. Default: true'), @@ -27,33 +29,88 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), options: z.object({ - timeUnits: z.string().optional(), - timeRange: z.object({ start: z.number(), end: z.number() }).optional(), + timeUnits: z.string().optional().describe('Label for the time axis (e.g. "Years", "Months")'), + timeRange: z.object({ start: z.number(), end: z.number() }).optional().describe('Restrict the plot to a time window'), highlightPeriods: z.array(z.object({ start: z.number(), end: z.number(), label: z.string(), color: z.string().optional() - })).optional(), - width: z.number().optional(), - height: z.number().optional(), - customRequirements: z.string().optional().describe('Additional requirements for AI visualization') + })).optional().describe('Shaded regions to draw on the chart (e.g. phases or events)'), + width: z.number().optional().describe('Output width in pixels (default 800)'), + height: z.number().optional().describe('Output height in pixels (default 600)'), + includeFeedbackContext: z.boolean().optional().describe('When true, reads feedback.json and overlays dominant-loop periods as highlight bands on the chart. Useful for time_series plots where you want to show which feedback loop was driving behavior.'), + customRequirements: z.string().optional().describe('Additional freeform requirements passed to the AI when useAICustom=true') }).optional() }), - handler: async ({ type, data, variables, title, description, usePython, useAICustom, dataDescription, visualizationGoal, options }) => { + handler: async ({ type, filePath, variables, title, description, usePython, useAICustom, dataDescription, visualizationGoal, options }) => { try { + const fileContent = readFileSync(filePath, 'utf8'); + const rawData = JSON.parse(fileContent); + + let data, resolvedVariables, extraOptions; + + if ((type || 'time_series') === 'feedback_dominance') { + const { feedbackLoops = [], dominantLoopsByPeriod } = rawData; + + const getLoopScores = l => l['Percent of Model Behavior Explained By Loop'] ?? l.loopScore; + const loopsWithData = feedbackLoops.filter(l => getLoopScores(l)?.length > 0); + + if (loopsWithData.length === 0) { + return createErrorResponse('Loops That Matter information is not present (some clients may not generate that information)'); + } + + const timeSet = new Set(); + for (const loop of loopsWithData) { + for (const { time } of getLoopScores(loop)) { + timeSet.add(time); + } + } + const sortedTime = Array.from(timeSet).sort((a, b) => a - b); + + data = { time: sortedTime }; + for (const loop of loopsWithData) { + const timeToValue = new Map(getLoopScores(loop).map(d => [d.time, d.value])); + data[loop.identifier] = sortedTime.map(t => timeToValue.get(t) ?? 0); + } + + resolvedVariables = variables ?? loopsWithData.map(l => l.identifier); + extraOptions = { + dataDescription: dataDescription ?? `Feedback loop dominance data. Each variable is a loop identifier whose values represent "Percent of Model Behavior Explained By Loop" at each timestep (0–100%). Values across all loops sum to approximately 100% at each point in time. A stacked area chart is the standard representation.` + }; + } else { + data = rawData; + resolvedVariables = variables ?? Object.keys(data).filter(k => k !== 'time'); + extraOptions = {}; + } + + if (options?.includeFeedbackContext && (type || 'time_series') !== 'feedback_dominance') { + const feedbackPath = join(sessionManager.getSessionTempDir(sessionId), 'feedback.json'); + if (existsSync(feedbackPath)) { + const feedback = JSON.parse(readFileSync(feedbackPath, 'utf8')); + if (feedback.dominantLoopsByPeriod?.length > 0) { + extraOptions.highlightPeriods = feedback.dominantLoopsByPeriod.map(p => ({ + start: p.startTime, + end: p.endTime, + label: p.dominantLoops.join(', ') + })); + } + } + } + const vizOptions = { ...options, + ...extraOptions, title, description, usePython, useAICustom, - dataDescription, + dataDescription: dataDescription ?? extraOptions.dataDescription, visualizationGoal }; // VisualizationEngine returns raw SVG string - const svgContent = await vizEngine.createVisualization(type || 'time_series', data, variables, vizOptions); + const svgContent = await vizEngine.createVisualization(type || 'time_series', data, resolvedVariables, vizOptions); // Generate visualization ID const visualizationId = `viz_${Date.now()}_${Math.random().toString(36).substring(7)}`; diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 33fe2b36..43645399 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -45,23 +45,20 @@ NEVER switch between CLD and SFD during a session. When a user requests a visualization: - ALWAYS use the current model as-is without any modifications - NEVER modify, update, or change the existing model structure or parameters to create visualizations -- Follow this sequence: get_current_model -> run_model (if needed) -> get_variable_data -> create_visualization - If the current model cannot produce the requested visualization, inform the user rather than modifying the model - Visualizations should reflect the current state of the model, not an idealized or modified version -**CRITICAL: Data Structure for create_visualization** -When calling create_visualization, the data parameter MUST be structured exactly as follows: -{ - time: [0, 1, 2, 3, ...], - Variable1: [value1, value2, value3, ...], - Variable2: [value1, value2, value3, ...], - ... -} +**How to plot time series, phase portraits, or comparisons:** +1. Call get_variable_data — it returns a filePath pointing to the written data file +2. Pass that filePath directly to create_visualization + +**How to plot feedback loop dominance (stacked area of loop percentages):** +1. Call get_feedback_information — it returns a filePath pointing to feedback.json +2. Pass that filePath to create_visualization with type: "feedback_dominance" -**Common Error:** Do NOT pass the full tool result from get_variable_data (which includes success, runId, etc.). -Instead, extract ONLY the time series data fields: -- Correct: { time: result.time, Population: result.Population, Births: result.Births } -- Wrong: result (includes success, runId, and other metadata) +**How to overlay dominant-loop periods on a time-series plot:** +1. Ensure get_feedback_information has already been called (feedback.json exists) +2. Pass the variable data filePath to create_visualization with options.includeFeedbackContext: true ## CRITICAL: Never Directly Edit model.sdjson NEVER use file writing or file editing tools (write_file, edit_file) to directly modify model.sdjson. diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index c69dabe2..738555c3 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -38,6 +38,10 @@ const FeedbackLoopSchema = z.object({ 'Percent of Model Behavior Explained By Loop': z.array(z.object({ time: z.number(), value: z.number() + })).optional(), + loopScore: z.array(z.object({ + time: z.number(), + value: z.number() })).optional() }); From 8b289821227f6806d205473d2671d1c249e56348 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 07:49:45 -0400 Subject: [PATCH 099/226] better parsing of feedback content --- agent/tools/builtin/createVisualization.js | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index 77a1d7d0..2812655f 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -51,7 +51,10 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu let data, resolvedVariables, extraOptions; if ((type || 'time_series') === 'feedback_dominance') { - const { feedbackLoops = [], dominantLoopsByPeriod } = rawData; + if (!rawData.feedbackContent || Object.keys(rawData.feedbackContent).length === 0) { + return createErrorResponse('No feedback information is present. Call get_feedback_information first.'); + } + const { feedbackLoops = [], dominantLoopsByPeriod } = rawData.feedbackContent; const getLoopScores = l => l['Percent of Model Behavior Explained By Loop'] ?? l.loopScore; const loopsWithData = feedbackLoops.filter(l => getLoopScores(l)?.length > 0); From 2e05ddb591fccf4288c52b0d4702433d660751cb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 08:16:37 -0400 Subject: [PATCH 100/226] fixed visualization engine halluncinations --- agent/tools/builtin/createVisualization.js | 6 +-- agent/utilities/AgentConfigurationManager.js | 18 +++++-- agent/utilities/VisualizationEngine.js | 55 +++++++++++++++++--- 3 files changed, 63 insertions(+), 16 deletions(-) diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index 2812655f..8ae0602d 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -78,9 +78,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu } resolvedVariables = variables ?? loopsWithData.map(l => l.identifier); - extraOptions = { - dataDescription: dataDescription ?? `Feedback loop dominance data. Each variable is a loop identifier whose values represent "Percent of Model Behavior Explained By Loop" at each timestep (0–100%). Values across all loops sum to approximately 100% at each point in time. A stacked area chart is the standard representation.` - }; + extraOptions = {}; } else { data = rawData; resolvedVariables = variables ?? Object.keys(data).filter(k => k !== 'time'); @@ -108,7 +106,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu description, usePython, useAICustom, - dataDescription: dataDescription ?? extraOptions.dataDescription, + dataDescription: dataDescription, visualizationGoal }; diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 43645399..bb0735fe 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -48,6 +48,10 @@ When a user requests a visualization: - If the current model cannot produce the requested visualization, inform the user rather than modifying the model - Visualizations should reflect the current state of the model, not an idealized or modified version +**CRITICAL: Never fabricate data files for create_visualization.** +Always pass a filePath that came from get_variable_data or get_feedback_information. +Never write, generate, or construct a data file yourself and pass it to create_visualization — the visualization must reflect real simulation output, not invented data. + **How to plot time series, phase portraits, or comparisons:** 1. Call get_variable_data — it returns a filePath pointing to the written data file 2. Pass that filePath directly to create_visualization @@ -81,12 +85,16 @@ Make HEAVY use of any tools that provide feedback loop information (such as loop 2. Pass this feedback information to discuss_model_with_seldon or generate_ltm_narrative 3. Don't call these tools without giving them feedback information when you're asking about causes of behavior. -**CRITICAL: NEVER report or describe specific feedback loops to the user unless:** -**If you want to talk about feedback loop definitions, you MUST first call get_feedback_information.** +**ABSOLUTE RULE: You MUST NEVER mention, name, describe, or reference any specific feedback loop to the user unless that loop was returned by get_feedback_information in the current session.** + +This means: +- NEVER infer loop names or identities from variable names, equation structure, or general SD knowledge +- NEVER say things like "there is likely a reinforcing loop between X and Y" — that is fabrication +- NEVER describe loop polarity, dominance, or behavior without data from get_feedback_information +- NEVER reuse loop names or descriptions from earlier in the conversation if get_feedback_information has not been called for the current model state +- If you have not called get_feedback_information, you have NO knowledge of the feedback loops — treat them as completely unknown -Do NOT make up, infer, or describe feedback loops based on general knowledge or variable relationships. -Do NOT describe feedback loops based on your understanding of the model structure alone. -Only report feedback loops that you have actual data for from the client via get_feedback_information. +If a user asks about feedback loops and you have not called get_feedback_information: call it immediately. Do not speculate while you wait. Do not describe what you "expect" the loops to look like. When feedback loop information is available: 1. Use it to deeply understand WHY the model produces its observed behavior diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index bcb2e749..1a76c29c 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -162,10 +162,12 @@ export class VisualizationEngine { * Use AI to generate custom Python visualization script */ async generateAIVisualizationScript(dataPath, outputPath, data, variables, options) { - // Prepare data description - const dataDescription = options.dataDescription || this.describeData(data, variables); + const actualDataPath = options.feedbackFilePath ?? dataPath; + const schemaData = options.feedbackFilePath + ? JSON.parse(readFileSync(options.feedbackFilePath, 'utf8')) + : data; - // Prepare visualization requirements + const dataDescription = options.dataDescription || this.buildSchemaDescription(actualDataPath, schemaData); const visualizationGoal = options.visualizationGoal || options.title || 'Visualize the data in an insightful way'; const systemPrompt = `You are a Python matplotlib code generator. Generate working Python visualization code. @@ -178,7 +180,8 @@ Requirements: - Make it clear and professional Data handling: -- Hardcode all data values as Python literals inside the code — do NOT read values from the data file at runtime unless explicitly needed; hardcoded literals are more reliable +- Always read data from the provided file path at runtime — never invent, assume, or hardcode data values +- Use the exact field paths from the schema provided — do not guess field names Matplotlib rules — these are known sources of errors, follow them exactly: - Never pass fontweight to ax.plot() or ax.scatter() — it is not a valid kwarg for Line2D or PathCollection @@ -193,13 +196,11 @@ Composing multiple chart types (background bands + line overlay, stacked area + const userPrompt = `Generate Python code for this visualization: -Data: ${dataPath} -Variables: ${variables.join(', ')} Goal: ${visualizationGoal} Output: ${outputPath} Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches -Data structure: JSON with 'time' array and variable arrays: ${variables.map(v => `'${v}'`).join(', ')} +${dataDescription} ${options.customRequirements ? `Requirements: ${options.customRequirements}\n` : ''} Required: @@ -247,6 +248,46 @@ Generate ONLY working Python code, no explanations.`; /** * Describe data for AI to understand */ + buildSchemaDescription(filePath, data) { + const describe = (val, depth = 0) => { + if (val === null || val === undefined) return 'null'; + + if (Array.isArray(val)) { + if (val.length === 0) return '[]'; + const first = val[0]; + if (typeof first === 'number') { + const sample = val.slice(0, Math.min(val.length, 100)); + const min = Math.min(...sample).toFixed(2); + const max = Math.max(...sample).toFixed(2); + return `[number, ...] // ${val.length} values, range ${min}–${max}`; + } + if (typeof first === 'string') { + const preview = val.slice(0, 3).map(s => JSON.stringify(s)).join(', '); + return `[${preview}${val.length > 3 ? ', ...' : ''}] // ${val.length} strings`; + } + if (typeof first === 'object' && first !== null) { + const pad = ' '.repeat(depth + 1); + return `[ // ${val.length} items\n${pad}${describe(first, depth + 1)}\n${' '.repeat(depth)}]`; + } + return JSON.stringify(val.slice(0, 3)) + (val.length > 3 ? '...' : ''); + } + + if (typeof val === 'object') { + if (depth > 4) return '{...}'; + const pad = ' '.repeat(depth + 1); + const entries = Object.entries(val) + .map(([k, v]) => `${pad}"${k}": ${describe(v, depth + 1)}`) + .join(',\n'); + return `{\n${entries}\n${' '.repeat(depth)}}`; + } + + if (typeof val === 'string') return JSON.stringify(val); + return String(val); + }; + + return `File: ${filePath}\nSchema:\n${describe(data)}`; + } + describeData(data, variables) { const lines = []; From a0e232a1b2de0534ebe2bce416be0d4deb489557 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 08:23:32 -0400 Subject: [PATCH 101/226] cleaned up system prompts --- agent/config/merlin.md | 12 +++---- agent/config/socrates.md | 35 ++++++++++---------- agent/utilities/AgentConfigurationManager.js | 8 ++--- 3 files changed, 27 insertions(+), 28 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 8320527e..d3c76eab 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -134,7 +134,7 @@ Create analytical visualizations: **Frequency:** Only use this tool on request ### get_feedback_information *(sfd + cld)* -**When to use:** Anytime you're going to use a tool that discusses the model +**When to use:** ALWAYS before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions **Auto-suggest** this tool when appropriate ## Action Sequences @@ -157,13 +157,13 @@ Create analytical visualizations: 1. Call `get_run_info` to check whether existing run data is available 2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — do not run the model 3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` -4. Use Seldon to analyze behavior (discuss_model_with_seldon) +4. Call `get_feedback_information`, then use Seldon to analyze behavior (discuss_model_with_seldon) ### On Simulation Request (user explicitly asks to run, or model was just modified) 1. Check all parameters defined, equations valid, units consistent 2. Run the simulation (run_model) -3. Create an analytical visualization (create_visualization) -4. Use Seldon to understand WHY behavior occurs and which feedback mechanisms are driving it (discuss_model_with_seldon) +3. Call `get_variable_data` then `create_visualization` +4. Call `get_feedback_information`, then use Seldon to understand WHY behavior occurs (discuss_model_with_seldon) 5. Explain behavior in terms of feedback loop dominance and SD theory ## Communication Style @@ -342,8 +342,8 @@ Runs the auto-layout algorithm to reposition diagram elements. All existing manu 7. After completion, visualize the fit: - `run_model()` — execute with optimized parameters - `get_run_info()` — identify the new simulation run ID - - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` - - `create_visualization()` — overlay calibration data and simulation output + - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath + - `create_visualization(filePath: )` — overlay calibration data and simulation output #### On Sensitivity Analysis Request 1. Create the analysis with appropriate distributions and sample size: diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 5f96daaf..848a940b 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -33,8 +33,9 @@ IMPORTANT RULES: 10. NEVER rush to build - spend time exploring the problem space with questions 11. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. 12. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - - First call get_variable_data to get time series data for key variables - - Then call create_visualization to generate charts + - First call get_variable_data — it returns a filePath + - Pass that filePath to create_visualization(filePath: ) + - NEVER call create_visualization without a filePath from get_variable_data or get_feedback_information - Users learn better when they can SEE the model behavior - Visualizations make abstract feedback loops concrete and observable 13. After building or significantly modifying a model, help the user explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). @@ -198,7 +199,7 @@ Focus on educational validation: **Frequency:** Only use this tool on request ### get_feedback_information *(sfd + cld)* -**When to use:** Anytime you're going to use a tool that discusses the model +**When to use:** ALWAYS before discuss_model_with_seldon, discuss_with_mentor, discuss_model_across_runs, or generate_ltm_narrative — no exceptions **Auto-suggest** this tool when appropriate ## Action Sequences @@ -211,9 +212,9 @@ Focus on educational validation: 5. Gently point out potential issues and ask for user's assessment (discuss_with_mentor) 6. Ask questions about the generated structure to build understanding (discuss_with_mentor) 7. Ask user what they think of the model before proceeding -8. Run the model with default parameters to show initial behavior (run_model, get_variable_data) -9. Create visualization to show model behavior (create_visualization) -10. Help user understand what they're seeing in the visualization (discuss_model_with_seldon) +8. Run the model with default parameters to show initial behavior (run_model) +9. Call get_variable_data, then create_visualization +10. Call get_feedback_information, then help user understand what they're seeing (discuss_model_with_seldon) ### On Modification Request 1. Inspect the current model (get_current_model) @@ -221,22 +222,22 @@ Focus on educational validation: 3. Guide thinking about consequences of the change 4. Apply the changes (update_model) 5. Ask how the user thinks the change will affect behavior -6. Run simulation to show updated model behavior (run_model, get_variable_data) -7. Create visualization to show how changes affected behavior (create_visualization) -8. Help user understand how their changes affected the model +6. Run simulation to show updated model behavior (run_model) +7. Call get_variable_data, then create_visualization +8. Call get_feedback_information, then help user understand how changes affected behavior (discuss_model_with_seldon) ### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) 1. Call `get_run_info` to check whether existing run data is available -2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — no need to run the model -3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` -4. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) +2. If usable data exists, call `get_variable_data` then `create_visualization` — no need to run the model +3. If no suitable data exists, run the simulation first (run_model), then call `get_variable_data` and `create_visualization` +4. Call `get_feedback_information`, then use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) 5. Ask questions to help user understand causal mechanisms and feedback dynamics ### On Simulation Request (user explicitly asks to run, or model was just modified) 1. Run the simulation (run_model) -2. Call `get_variable_data` to retrieve the data -3. Create a simple visualization (create_visualization) -4. Use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) +2. Call `get_variable_data` — note the returned filePath +3. Call `create_visualization(filePath: )` +4. Call `get_feedback_information`, then use Seldon to understand WHY (discuss_model_with_seldon) 5. Ask questions to help user understand causal mechanisms and feedback dynamics 6. Help user connect behavior patterns to feedback loop dominance @@ -427,8 +428,8 @@ Runs the auto-layout algorithm to reposition diagram elements. All existing manu 9. After completion, visualize the fit: - `run_model()` — run with the optimized parameters - `get_run_info()` — identify the new simulation run ID - - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` - - `create_visualization()` — show both calibration data and simulation output overlaid + - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath + - `create_visualization(filePath: )` — show both calibration data and simulation output overlaid 10. Ask the user: "How does the fit look? Does this match what you expected the model to do?" #### On Sensitivity Analysis Request diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index bb0735fe..1005ebb9 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -37,7 +37,7 @@ NEVER switch between CLD and SFD during a session. - Add appropriate constraints to prevent negative values where they are physically impossible - Stocks often go negative when there is no first order control on their flows. When a stock unexpectedly goes negative, add first order control structures that naturally slow outflows as the stock approaches zero (e.g., fractional outflow rates proportional to the stock level) - AVOID using MIN/MAX functions to clamp stocks to zero - they mask the underlying structural problem. Fix the model structure instead. -- Unit warnings are NOT cosmetic, they are important and MUST to be fixed +- Unit warnings are NOT cosmetic, they are important and MUST be fixed - Use // for safe division (e.g., a // b) - this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero - Use XMILE builtin function names: SMTH1, SMTH3, DELAY1, DELAY3, etc. — NOT SMOOTH1, SMOOTH3, or other non-XMILE variants @@ -80,10 +80,8 @@ After ANY tool use that modifies the model (generate_quantitative_model, generat ## CRITICAL: Feedback Loop Analysis and Model Understanding Make HEAVY use of any tools that provide feedback loop information (such as loop analysis, causal structure analysis, or behavioral mode detection). -**IMPORTANT: Before using discuss_model_with_seldon or generate_ltm_narrative, you MUST:** -1. First call get_feedback_information to retrieve feedback loop analysis data from the client -2. Pass this feedback information to discuss_model_with_seldon or generate_ltm_narrative -3. Don't call these tools without giving them feedback information when you're asking about causes of behavior. +**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** +The model must be run for feedback data to be available. These tools require it. Calling them without it produces hallucinated loop analysis. **ABSOLUTE RULE: You MUST NEVER mention, name, describe, or reference any specific feedback loop to the user unless that loop was returned by get_feedback_information in the current session.** From 337f827d3a61c540501289e046cb2c414388b3ba Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 09:20:29 -0400 Subject: [PATCH 102/226] visualization engine transformation to file fed done? --- agent/tools/builtin/createVisualization.js | 55 +++++++++++++-- agent/utilities/AgentConfigurationManager.js | 8 +-- agent/utilities/VisualizationEngine.js | 63 ++++++++++------- .../agent/createVisualizationHelpers.test.js | 68 +++++++++++++++++++ 4 files changed, 159 insertions(+), 35 deletions(-) create mode 100644 tests/agent/createVisualizationHelpers.test.js diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index 8ae0602d..dacd186c 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -3,6 +3,27 @@ import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +// Detect run-keyed format: { runId: { time: [...], varName: [...], ... } } +export function isRunKeyedFormat(data) { + const keys = Object.keys(data); + if (keys.length === 0 || keys.includes('time') || keys.includes('feedbackContent')) return false; + return keys.every(key => { + const val = data[key]; + return typeof val === 'object' && !Array.isArray(val) && val !== null && Array.isArray(val.time); + }); +} + +// Extract run-specific data from feedbackContent. +// feedbackContent is either flat { feedbackLoops, ... } or run-keyed { runId: { feedbackLoops, ... } }. +export function extractRunFeedback(feedbackContent, preferredRunId = null) { + if (!feedbackContent || typeof feedbackContent !== 'object') return feedbackContent; + if ('feedbackLoops' in feedbackContent) return feedbackContent; + if (preferredRunId && preferredRunId in feedbackContent) return feedbackContent[preferredRunId]; + const keys = Object.keys(feedbackContent); + const lastKey = keys[keys.length - 1]; + return lastKey ? feedbackContent[lastKey] : feedbackContent; +} + /** * Create a data visualization and send it to the client */ @@ -49,12 +70,16 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu const rawData = JSON.parse(fileContent); let data, resolvedVariables, extraOptions; + let resolvedType = type; + let selectedRunId = null; if ((type || 'time_series') === 'feedback_dominance') { if (!rawData.feedbackContent || Object.keys(rawData.feedbackContent).length === 0) { return createErrorResponse('No feedback information is present. Call get_feedback_information first.'); } - const { feedbackLoops = [], dominantLoopsByPeriod } = rawData.feedbackContent; + // feedbackContent may be flat or run-keyed: { runId: { feedbackLoops, ... } } + const feedbackSource = extractRunFeedback(rawData.feedbackContent); + const { feedbackLoops = [], dominantLoopsByPeriod } = feedbackSource; const getLoopScores = l => l['Percent of Model Behavior Explained By Loop'] ?? l.loopScore; const loopsWithData = feedbackLoops.filter(l => getLoopScores(l)?.length > 0); @@ -81,14 +106,32 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu extraOptions = {}; } else { data = rawData; - resolvedVariables = variables ?? Object.keys(data).filter(k => k !== 'time'); + + if (isRunKeyedFormat(data)) { + const runKeys = Object.keys(data); + if (runKeys.length === 1) { + selectedRunId = runKeys[0]; + data = data[runKeys[0]]; + } else { + resolvedType = 'comparison'; + const firstRun = data[runKeys[0]] || {}; + resolvedVariables = variables ?? Object.keys(firstRun).filter(k => k !== 'time'); + } + } + + if (!resolvedVariables) { + resolvedVariables = variables ?? Object.keys(data).filter(k => k !== 'time'); + } extraOptions = {}; } - if (options?.includeFeedbackContext && (type || 'time_series') !== 'feedback_dominance') { + if (options?.includeFeedbackContext && (resolvedType || 'time_series') !== 'feedback_dominance') { const feedbackPath = join(sessionManager.getSessionTempDir(sessionId), 'feedback.json'); if (existsSync(feedbackPath)) { - const feedback = JSON.parse(readFileSync(feedbackPath, 'utf8')); + const feedbackFile = JSON.parse(readFileSync(feedbackPath, 'utf8')); + const feedback = feedbackFile.feedbackContent + ? extractRunFeedback(feedbackFile.feedbackContent, selectedRunId) + : feedbackFile; if (feedback.dominantLoopsByPeriod?.length > 0) { extraOptions.highlightPeriods = feedback.dominantLoopsByPeriod.map(p => ({ start: p.startTime, @@ -111,7 +154,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu }; // VisualizationEngine returns raw SVG string - const svgContent = await vizEngine.createVisualization(type || 'time_series', data, resolvedVariables, vizOptions); + const svgContent = await vizEngine.createVisualization(resolvedType || 'time_series', data, resolvedVariables, vizOptions); // Generate visualization ID const visualizationId = `viz_${Date.now()}_${Math.random().toString(36).substring(7)}`; @@ -134,7 +177,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu // Send visualization to client await sendToClient(vizMessage); - return createSuccessResponse(`Created ${useAICustom ? 'AI-custom' : type || 'time_series'} SVG visualization: "${title}" and sent to client`); + return createSuccessResponse(`Created ${useAICustom ? 'AI-custom' : resolvedType || 'time_series'} SVG visualization: "${title}" and sent to client`); } catch (error) { return createErrorResponse(`Failed to create visualization: ${error.message}`, error); } diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 1005ebb9..6527f48c 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -135,13 +135,9 @@ When feedback analysis tools fail due to missing feedback information: 4. NEVER give up after first failure - always attempt to run model first ## Feedback Loop Dominance Visualization Style -When asked to visualize feedback loop dominance alongside a variable's behavior, use colored background bands (ax.axvspan) keyed to the dominant loop in each period - **NOT** a stacked area chart of loop percentages. +When asked to visualize feedback loop dominance alongside a variable's behavior, use the includeFeedbackContext: true option on the create_visualization tool with a time_series type. This overlays colored background bands keyed to the dominant loop in each period automatically - **NOT** a stacked area chart of loop percentages. -- Source band periods from the dominantLoopsByPeriod field returned by get_feedback_information, not from the per-timestep percentage series -- dominantLoopsByPeriod gives discrete start/end time windows with the set of dominant loops for that window - draw one axvspan per period, colored by the primary (first listed) dominant loop -- Draw bands at zorder=0; draw the variable of interest (e.g. a stock) as a line at zorder=3+ so it is always readable against the background - -Reserve the feedback_dominance visualization type (stacked area) for when the user explicitly wants the quantitative percentage breakdown of loop contributions over time. For all other requests involving dominant loops and a behavior variable together, use the colored band approach. +Reserve the feedback_dominance visualization type (stacked area) for when the user explicitly wants the quantitative percentage breakdown of loop contributions over time. `; constructor(configPath) { diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 1a76c29c..f3794c63 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -80,14 +80,17 @@ export class VisualizationEngine { } normalizeArrayLengths(data, variables) { - // Comparison format: { runs: [{ data: { time, varName } }] } - // Each run is normalized independently — runs may have different lengths. - if (data?.runs && Array.isArray(data.runs)) { - const normalizedRuns = data.runs.map((run, idx) => { - const normalizedRunData = this.#normalizeRunData(run.data, variables, `run[${idx}]`); - return normalizedRunData === run.data ? run : { ...run, data: normalizedRunData }; - }); - return { ...data, runs: normalizedRuns }; + // Run-keyed comparison format: { runId: { time: [...], var1: [...], ... } } + // Each run is flat and normalized independently. + if (data && typeof data === 'object' && !Array.isArray(data) && !('time' in data)) { + const firstVal = data[Object.keys(data)[0]]; + if (firstVal && typeof firstVal === 'object' && !Array.isArray(firstVal) && Array.isArray(firstVal.time)) { + const normalized = {}; + for (const [runId, runData] of Object.entries(data)) { + normalized[runId] = this.#normalizeRunData(runData, variables, runId); + } + return normalized; + } } // Flat format: { time, var1, var2, ... } (time_series, phase_portrait, feedback_dominance) @@ -423,9 +426,23 @@ Generate ONLY working Python code, no explanations.`; * Generate time series plot script */ generateTimeSeriesScript(dataPath, outputPath, variables, options) { - const highlightPeriodsCode = (options.highlightPeriods || []).map(period => ` -ax.axvspan(${period.start}, ${period.end}, alpha=0.2, color='${period.color || 'yellow'}', label='${period.label}') -`).join(''); + const bandPalette = ['#4e79a7','#f28e2b','#59a14f','#e15759','#76b7b2','#edc948','#b07aa1','#ff9da7','#9c755f','#bab0ac']; + let paletteIdx = 0; + const periods = (options.highlightPeriods || []).map(period => ({ + ...period, + color: period.color || bandPalette[paletteIdx++ % bandPalette.length] + })); + + const highlightPeriodsCode = periods.map(p => + `\nax.axvspan(${p.start}, ${p.end}, alpha=0.2, color='${p.color}', zorder=0, linewidth=0)` + ).join(''); + + const legendCode = periods.length > 0 + ? `import matplotlib.patches as mpatches +band_handles = [${periods.map(p => `mpatches.Patch(facecolor='${p.color}', alpha=0.6, label='${p.label}')`).join(', ')}] +line_handles = [l for l in ax.lines if not l.get_label().startswith('_')] +ax.legend(handles=band_handles + line_handles, loc='best')` + : `ax.legend(loc='best')`; return ` import matplotlib @@ -441,21 +458,21 @@ with open('${dataPath}', 'r') as f: fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) +# Background highlight periods (drawn first so lines render on top) +${highlightPeriodsCode} + # Plot each variable ${variables.map((v, idx) => ` -ax.plot(data['time'], data['${v}'], label='${v}', linewidth=2) +ax.plot(data['time'], data['${v}'], label='${v}', linewidth=2, zorder=3) `).join('')} # Styling ax.set_xlabel('Time (${options.timeUnits || 'units'})', fontsize=12) ax.set_ylabel('Value', fontsize=12) ax.set_title('${options.title || 'Time Series'}', fontsize=14, fontweight='bold') -ax.legend(loc='best') +${legendCode} ax.grid(True, alpha=0.3) -# Highlight periods -${highlightPeriodsCode} - plt.tight_layout() plt.savefig('${outputPath}', format='svg', bbox_inches='tight') plt.close() @@ -616,18 +633,18 @@ with open('${dataPath}', 'r') as f: fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) -runs = data.get('runs', []) colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] line_styles = ['-', '--', '-.', ':'] -for idx, run in enumerate(runs): - run_data = run.get('data', {}) - label = run.get('label', run.get('runId', f'Run {idx+1}')) +# Run-keyed format: { runId: { time: [...], varName: [...], ... } } +run_items = [] +for run_id, run_data in data.items(): + run_items.append((run_id, run_data.get('time', []), run_data.get('${variable}', []))) + +for idx, (label, time_data, values) in enumerate(run_items): color = colors[idx % len(colors)] line_style = line_styles[0] if idx == 0 else line_styles[(idx % (len(line_styles)-1)) + 1] - - ax.plot(run_data.get('time', []), run_data.get('${variable}', []), - label=label, color=color, linestyle=line_style, linewidth=2) + ax.plot(time_data, values, label=label, color=color, linestyle=line_style, linewidth=2) ax.set_xlabel('Time', fontsize=12) ax.set_ylabel('${variable}', fontsize=12) diff --git a/tests/agent/createVisualizationHelpers.test.js b/tests/agent/createVisualizationHelpers.test.js new file mode 100644 index 00000000..55640ddc --- /dev/null +++ b/tests/agent/createVisualizationHelpers.test.js @@ -0,0 +1,68 @@ +import { isRunKeyedFormat, extractRunFeedback } from '../../agent/tools/builtin/createVisualization.js'; + +describe('isRunKeyedFormat', () => { + it('returns true for run-keyed variable data', () => { + const data = { + run_abc: { time: [0, 1], Population: [1000, 1020] }, + run_def: { time: [0, 1], Population: [1000, 980] } + }; + expect(isRunKeyedFormat(data)).toBe(true); + }); + + it('returns true for single run', () => { + expect(isRunKeyedFormat({ run_abc: { time: [0, 1], Population: [1000, 1020] } })).toBe(true); + }); + + it('returns false for flat format (has time key at top level)', () => { + expect(isRunKeyedFormat({ time: [0, 1], Population: [1000, 1020] })).toBe(false); + }); + + it('returns false for feedback format (has feedbackContent key)', () => { + expect(isRunKeyedFormat({ feedbackContent: {} })).toBe(false); + }); + + it('returns false for empty object', () => { + expect(isRunKeyedFormat({})).toBe(false); + }); + + it('returns false when run values are not objects with a time array', () => { + expect(isRunKeyedFormat({ run_abc: [1000, 1020] })).toBe(false); + }); +}); + +describe('extractRunFeedback', () => { + const flatFeedback = { feedbackLoops: [{ identifier: 'R1' }], dominantLoopsByPeriod: [] }; + + it('returns flat feedbackContent unchanged', () => { + expect(extractRunFeedback(flatFeedback)).toBe(flatFeedback); + }); + + it('returns the preferred run when specified', () => { + const content = { + run_abc: { feedbackLoops: [{ identifier: 'R1' }] }, + run_def: { feedbackLoops: [{ identifier: 'R2' }] } + }; + expect(extractRunFeedback(content, 'run_def')).toBe(content.run_def); + }); + + it('falls back to last run when preferredRunId is absent', () => { + const content = { + run_abc: { feedbackLoops: [{ identifier: 'R1' }] }, + run_def: { feedbackLoops: [{ identifier: 'R2' }] } + }; + expect(extractRunFeedback(content)).toBe(content.run_def); + }); + + it('falls back to last run when preferredRunId is not in content', () => { + const content = { + run_abc: { feedbackLoops: [] }, + run_def: { feedbackLoops: [] } + }; + expect(extractRunFeedback(content, 'run_missing')).toBe(content.run_def); + }); + + it('returns input unchanged for null/undefined', () => { + expect(extractRunFeedback(null)).toBe(null); + expect(extractRunFeedback(undefined)).toBe(undefined); + }); +}); From 0e959e53dcbfffbfbc5ba6f1f59a060ad2e68bfc Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 09:23:44 -0400 Subject: [PATCH 103/226] have the AI check if a run exists before complaining --- agent/utilities/AgentConfigurationManager.js | 3 +++ 1 file changed, 3 insertions(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 6527f48c..9f38e676 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -121,6 +121,9 @@ Use Seldon extensively to help you: Consider consulting Seldon when facing complex modeling decisions or when you need expert guidance on system dynamics best practices. ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements. +## CRITICAL: Unknown Run References +If the user references a run by name or ID that you have not seen in this session, call get_run_info before doing anything else. Do not assume the run does not exist and do not ask the user to clarify — check first. + ## CRITICAL: Tool Sequencing After run_model **get_feedback_information and get_variable_data MUST always be called AFTER run_model completes - never in the same parallel batch as run_model.** run_model produces the data these tools depend on. Always wait for run_model to finish before calling them. From ac4ee9d91ea692fdebd47d37f9dcdb03961d747e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 10:15:21 -0400 Subject: [PATCH 104/226] improve AI generated plots --- agent/utilities/AgentConfigurationManager.js | 4 ++ agent/utilities/VisualizationEngine.js | 54 +++++++++++++++----- 2 files changed, 45 insertions(+), 13 deletions(-) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 9f38e676..2a6663a5 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -48,6 +48,10 @@ When a user requests a visualization: - If the current model cannot produce the requested visualization, inform the user rather than modifying the model - Visualizations should reflect the current state of the model, not an idealized or modified version +**ABSOLUTE RULE: ALL plotting and charting MUST go through the create_visualization tool — no exceptions.** +NEVER write Python plotting code yourself. NEVER use write_file or edit_file to create a matplotlib script and run it manually. +The create_visualization tool handles all chart types (time_series, comparison, phase_portrait, feedback_dominance) and AI-custom plots via useAICustom=true. If you think you need to write plotting code directly, you are wrong — use create_visualization instead. + **CRITICAL: Never fabricate data files for create_visualization.** Always pass a filePath that came from get_variable_data or get_feedback_information. Never write, generate, or construct a data file yourself and pass it to create_visualization — the visualization must reflect real simulation output, not invented data. diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index f3794c63..7e2820cf 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -170,21 +170,32 @@ export class VisualizationEngine { ? JSON.parse(readFileSync(options.feedbackFilePath, 'utf8')) : data; - const dataDescription = options.dataDescription || this.buildSchemaDescription(actualDataPath, schemaData); + // Always build schema from the actual file on disk — agent's dataDescription is supplemental context only + const autoSchema = this.buildSchemaDescription(actualDataPath, schemaData); + const dataDescription = options.dataDescription + ? `${autoSchema}\n\nAdditional context from caller: ${options.dataDescription}` + : autoSchema; const visualizationGoal = options.visualizationGoal || options.title || 'Visualize the data in an insightful way'; const systemPrompt = `You are a Python matplotlib code generator. Generate working Python visualization code. +ABSOLUTE RULE — DATA LOADING: +You MUST open and parse the data file yourself at runtime using Python file I/O (e.g. open(), json.load()). +NEVER hardcode, inline, or assume any data values in the script. +NEVER treat data passed in the prompt as the actual data — the prompt only describes the file schema so you know how to read it. +ALL data used in the visualization must come exclusively from reading the file at the path provided. +Write explicit parsing code: open the file, navigate the JSON structure, extract the fields you need. + Requirements: - Use matplotlib with Agg backend (set BEFORE importing pyplot) -- Load JSON data and create the visualization +- Load JSON data from disk and create the visualization - Save as SVG using plt.savefig with format='svg' - Include labels, titles, legends - Make it clear and professional Data handling: -- Always read data from the provided file path at runtime — never invent, assume, or hardcode data values -- Use the exact field paths from the schema provided — do not guess field names +- Use the exact field paths from the schema provided to navigate the JSON — do not guess field names +- Write all data-loading and parsing logic explicitly in the script Matplotlib rules — these are known sources of errors, follow them exactly: - Never pass fontweight to ax.plot() or ax.scatter() — it is not a valid kwarg for Line2D or PathCollection @@ -197,29 +208,46 @@ Composing multiple chart types (background bands + line overlay, stacked area + - Draw overlaid lines at zorder=3 or higher - Build legends manually using matplotlib.patches.Patch and matplotlib.lines.Line2D rather than relying on automatic label collection`; + const periodsSchemaNote = (options.highlightPeriods?.length > 0) + ? `\n\nPRE-DEFINED VARIABLE — HIGHLIGHT_PERIODS: +A Python list named HIGHLIGHT_PERIODS is already defined in the required boilerplate. Each entry has keys: start (number), end (number), label (string), and optionally color (string). +Use axvspan(p['start'], p['end'], ...) to draw background bands and mpatches.Patch for legend entries. Do NOT read any file to get this data — it is already in the variable.` + : ''; + + const schemaPrompt = `DATA FILE SCHEMA for this request: +The following describes the structure of the JSON file on disk. Use the exact field paths to write your parsing code. Do NOT treat these values as data — read everything from disk at runtime. + +${dataDescription}${periodsSchemaNote}`; + + const periodsConstant = (options.highlightPeriods?.length > 0) + ? `5. HIGHLIGHT_PERIODS = ${JSON.stringify(options.highlightPeriods)} # server-computed dominant loop periods — use these directly, do not re-read from any file\n` + : ''; + const userPrompt = `Generate Python code for this visualization: Goal: ${visualizationGoal} -Output: ${outputPath} Size: ${(options.width || 800)/100}x${(options.height || 600)/100} inches -${dataDescription} - ${options.customRequirements ? `Requirements: ${options.customRequirements}\n` : ''} -Required: -1. Import order: matplotlib.use('Agg') BEFORE import matplotlib.pyplot -2. Suppress warnings: warnings.filterwarnings('ignore') -3. Save with: plt.savefig(path, format='svg', bbox_inches='tight') - +Required — copy these lines exactly, do not alter the paths: +1. matplotlib.use('Agg') BEFORE import matplotlib.pyplot +2. import warnings; warnings.filterwarnings('ignore') +3. with open('${actualDataPath}', 'r') as f: data = json.load(f) +4. plt.savefig('${outputPath}', format='svg', bbox_inches='tight') +${periodsConstant} Generate ONLY working Python code, no explanations.`; try { // Get LLM parameters with lower temperature for faster, more deterministic responses const { underlyingModel, temperature } = this.llm.getLLMParameters(0.1); - // Create messages array + // Create messages array. + // systemPrompt is stable across requests and will be cached. + // schemaPrompt is request-specific and sent as a separate turn after the system message. const messages = [ { role: 'system', content: systemPrompt }, + { role: 'system', content: schemaPrompt }, + { role: 'assistant', content: 'I have reviewed the data file schema and am ready to generate the visualization code.' }, { role: 'user', content: userPrompt } ]; From feba448d2095ff6527f1d63aea1b2e2409f1faca Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 10:15:38 -0400 Subject: [PATCH 105/226] allow targeted editing with medium models --- agent/tools/builtin/largeModelTools.js | 2 +- config.js | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 969f1fe1..98a0eb4a 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -239,7 +239,7 @@ CRITICAL ARRAY RULES: After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, supportedModes: ['sfd', 'cld'], - minModelTokens: config.agentMaxTokensForEngines, + minModelTokens: config.agentTargetedEditingMinimum, inputSchema: z.object({ section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to edit'), operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), diff --git a/config.js b/config.js index 51c82294..1bc7e85c 100644 --- a/config.js +++ b/config.js @@ -10,6 +10,7 @@ const config = { "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 50_000, // Maximum tokens before switching to file-based editing "agentMaxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 50_000, // Maximum tokens for conversation history sent to Claude API + "agentTargetedEditingMinimum": parseInt(process.env.TARGETED_EDITING_MINIMUM) || 5_000, //Above this size, models can be edited without quantitative/qualitative engine "agentModel": process.env.AGENT_MODEL || 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentSummaryModel": process.env.SUMMARY_MODEL || 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models }; From c2771da3e13c0e4ff077e5853975c8d319c16785 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 10:34:08 -0400 Subject: [PATCH 106/226] increase timeout for github --- tests/evals/behavioralPattern.test.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/evals/behavioralPattern.test.js b/tests/evals/behavioralPattern.test.js index ff0e8a51..24430e26 100644 --- a/tests/evals/behavioralPattern.test.js +++ b/tests/evals/behavioralPattern.test.js @@ -2,7 +2,7 @@ import { describe, test, expect } from '@jest/globals'; import * as behavioralPattern from '../../evals/categories/behavioralPattern.js'; describe('Behavioral Pattern Evaluation', () => { - + describe('Evaluate Function', () => { test('should fail when model is missing', async () => { const response = {}; @@ -47,6 +47,6 @@ describe('Behavioral Pattern Evaluation', () => { // Should not fail for missing output variable (will fail later in conversion/simulation) const missingOutputError = result.find(f => f.type === 'Missing output variable'); expect(missingOutputError).toBeUndefined(); - }); + }, 30000); }); }); From cb1b46c8dcb6ea69d648555004d8cc1e1ae4e707 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 1 May 2026 11:15:24 -0400 Subject: [PATCH 107/226] hook up seldon derived tools directly to data smarter --- agent/tools/builtin/discussModelAcrossRuns.js | 14 +++++--- agent/tools/builtin/discussModelWithSeldon.js | 11 ++++--- agent/tools/builtin/discussWithMentor.js | 11 ++++--- agent/tools/builtin/generateLtmNarrative.js | 9 +++-- agent/tools/builtin/toolHelpers.js | 33 +++++++++++++++++++ 5 files changed, 62 insertions(+), 16 deletions(-) diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index e0589119..c80447e7 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -3,7 +3,7 @@ import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonILEEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; /** * Have a user-friendly discussion about the model without jargon, with ability to compare runs @@ -18,7 +18,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - behaviorContent: z.string().optional().describe('Time series behavior data') + runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), handler: async ({ prompt, runName, parameters }) => { @@ -34,10 +34,13 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent : undefined; - // Add feedbackContent to parameters if available + const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); + + // Add feedbackContent and behaviorContent to parameters if available const engineParams = { ...parameters, - ...(feedbackContent && { feedbackContent }) + ...(feedbackContent && { feedbackContent }), + ...(behaviorContent && { behaviorContent }) }; const result = await callSeldonILEEngine(prompt, model, runName, engineParams); @@ -82,7 +85,8 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send // Retry the call with comparative feedback information const retryParams = { ...parameters, - feedbackContent: feedbackData.feedbackContent + feedbackContent: feedbackData.feedbackContent, + ...(behaviorContent && { behaviorContent }) }; const retryResult = await callSeldonILEEngine(prompt, model, runName, retryParams); diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 88cd135f..3361dce3 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -3,7 +3,7 @@ import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; /** * Have an expert-level discussion about the model using System Dynamics terminology @@ -17,7 +17,7 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - behaviorContent: z.string().optional().describe('Time series behavior data') + runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), handler: async ({ prompt, parameters }) => { @@ -33,7 +33,10 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent : undefined; - const result = await callSeldonEngine(prompt, model, feedbackContent, parameters); + const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); + const enrichedParameters = behaviorContent ? { ...parameters, behaviorContent } : parameters; + + const result = await callSeldonEngine(prompt, model, feedbackContent, enrichedParameters); if (!result.success) { return createErrorResponse(result.error); @@ -73,7 +76,7 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send }); // Retry the call with feedback information - const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent, parameters); + const retryResult = await callSeldonEngine(prompt, model, feedbackData.feedbackContent, enrichedParameters); if (!retryResult.success) { return createErrorResponse(retryResult.error); diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index e590dd6a..1175c1e5 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -3,7 +3,7 @@ import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; /** * Ask thoughtful questions to the user to guide their learning @@ -17,7 +17,7 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - behaviorContent: z.string().optional().describe('Time series behavior data') + runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), handler: async ({ prompt, parameters }) => { @@ -33,7 +33,10 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent : undefined; - const result = await callSeldonMentorEngine(prompt, model, feedbackContent, parameters); + const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); + const enrichedParameters = behaviorContent ? { ...parameters, behaviorContent } : parameters; + + const result = await callSeldonMentorEngine(prompt, model, feedbackContent, enrichedParameters); if (!result.success) { return createErrorResponse(result.error); @@ -69,7 +72,7 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli runIds: feedbackData.runIds }); - const retryResult = await callSeldonMentorEngine(prompt, model, feedbackData.feedbackContent, parameters); + const retryResult = await callSeldonMentorEngine(prompt, model, feedbackData.feedbackContent, enrichedParameters); if (!retryResult.success) { return createErrorResponse(retryResult.error); diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 4c79818a..2803d7d8 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -3,7 +3,7 @@ import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callLTMEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; /** * Generate a narrative explanation of feedback loops and their influence on model behavior @@ -16,7 +16,7 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - behaviorContent: z.string().optional().describe('Time series behavior data') + runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), handler: async ({ parameters }) => { @@ -32,6 +32,9 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo ? JSON.parse(readFileSync(feedbackPath, 'utf-8')).feedbackContent : undefined; + const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); + const enrichedParameters = behaviorContent ? { ...parameters, behaviorContent } : parameters; + if (!feedbackContent) { const session = sessionManager.getSession(sessionId); if (!session) { @@ -64,7 +67,7 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo feedbackContent = feedbackData.feedbackContent; } - const result = await callLTMEngine(model, feedbackContent, parameters); + const result = await callLTMEngine(model, feedbackContent, enrichedParameters); if (!result.success) { return createErrorResponse(result.error); diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index 2afca954..610bccc9 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -2,6 +2,8 @@ * Helper utilities shared across built-in tools */ import { tool as sdkTool } from '@anthropic-ai/claude-agent-sdk'; +import { readdirSync, readFileSync, existsSync } from 'fs'; +import { join } from 'path'; import logger from '../../../utilities/logger.js'; /** @@ -40,6 +42,37 @@ export function createSuccessResponse(result) { }; } +/** + * Load behavior content from the most recent variable_data JSON file in the session temp dir, + * filtered to the given run IDs (or the last run ID in the file if none specified). + * Returns undefined if no variable_data file exists. + * @param {string} sessionTempDir - Path to the session temp directory + * @param {string[]} [runIds] - Optional run IDs to include; defaults to the last run in the file + * @returns {string|undefined} JSON string of filtered run data, or undefined + */ +export function loadBehaviorContent(sessionTempDir, runIds) { + if (!existsSync(sessionTempDir)) return undefined; + + const files = readdirSync(sessionTempDir) + .filter(f => f.startsWith('variable_data_') && f.endsWith('.json')) + .sort(); + + if (files.length === 0) return undefined; + + const latest = JSON.parse(readFileSync(join(sessionTempDir, files[files.length - 1]), 'utf-8')); + const allRunIds = Object.keys(latest); + if (allRunIds.length === 0) return undefined; + + const selected = (runIds && runIds.length > 0) + ? runIds.filter(id => id in latest) + : [allRunIds[allRunIds.length - 1]]; + + if (selected.length === 1) return JSON.stringify(latest[selected[0]]); + + const filtered = Object.fromEntries(selected.map(id => [id, latest[id]])); + return JSON.stringify(filtered); +} + /** * Create a standardized error response * @param {string} errorMessage - The error message to return From 591e7ba23fb019c3332885e6f1fef9e239acc761 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 08:06:17 -0400 Subject: [PATCH 108/226] add support for RK4 integration method --- README.md | 1 + utilities/LLMWrapper.js | 6 ++++-- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 240d122d..277fa415 100644 --- a/README.md +++ b/README.md @@ -111,6 +111,7 @@ Contains the engines used by [Stella](https://www.iseesystems.com/store/products stopTime: , dt?: , timeUnits?: , + integrationMethod?: , # "Euler" or "RK4" arrayDimensions?: [{ # Array dimension definitions (all four fields required) type: , # "numeric" or "labels" - numeric auto-generates element names as strings ('1','2','3'), labels use user-defined meaningful names name: , # Singular, alphanumeric dimension name (e.g., "region" not "regions") diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index ddf4aefa..a61e7386 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -219,7 +219,8 @@ export class LLMWrapper { "stopTime": "The time at which this model stops calculating. It is measured in the units of \"timeUnits\".", "dt": "The time step for the model, how often is it calculated. The most common dt is 0.25. It is measured in the units of \"timeUnits\".", "timeUnits": "The unit of time for this model. This should match with the equations that you generate.", - + "integrationMethod": "The method used to solve this model. Euler (Default), RK4, is an optional method for systems with oscillations.", + "loopIdentifier": "The globally unique identifer for this feedback loop. You will take this value from the feedback loop identifier given to you.", "loopName": "A short, but unique name, for the process this feedback loop represents. This name must be distinct for each loop you give a name to. This name should not refer directly to the polarity of the loop. Don't use the words: growth, decline, stablizing, dampening, balancing, reinforcing, positive or negative in the name.", "loopDescription": "A description of what the process this feedback loop represents. This description should discusses the purpose of this feedback loop. It should not be longer then 3 paragraphs", @@ -414,7 +415,8 @@ export class LLMWrapper { startTime: z.number().describe(LLMWrapper.SCHEMA_STRINGS.startTime), stopTime: z.number().describe(LLMWrapper.SCHEMA_STRINGS.stopTime), dt: z.number().describe(LLMWrapper.SCHEMA_STRINGS.dt), - timeUnits: z.string().describe(LLMWrapper.SCHEMA_STRINGS.timeUnits) + timeUnits: z.string().describe(LLMWrapper.SCHEMA_STRINGS.timeUnits), + integrationMethod: z.enum(["Euler", "RK4"]).describe(LLMWrapper.SCHEMA_STRINGS.integrationMethod) }; if (supportsArrays) { From d59021dc63453f5c0d2a58306bba2a872ba965cb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 08:18:43 -0400 Subject: [PATCH 109/226] fix highlight periods to be keyed off of label, and make sure all legends don't show _ --- agent/utilities/VisualizationEngine.js | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 7e2820cf..e015e540 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -456,18 +456,22 @@ Generate ONLY working Python code, no explanations.`; generateTimeSeriesScript(dataPath, outputPath, variables, options) { const bandPalette = ['#4e79a7','#f28e2b','#59a14f','#e15759','#76b7b2','#edc948','#b07aa1','#ff9da7','#9c755f','#bab0ac']; let paletteIdx = 0; - const periods = (options.highlightPeriods || []).map(period => ({ - ...period, - color: period.color || bandPalette[paletteIdx++ % bandPalette.length] - })); + const labelColorMap = {}; + const periods = (options.highlightPeriods || []).map(period => { + if (!labelColorMap[period.label]) { + labelColorMap[period.label] = period.color || bandPalette[paletteIdx++ % bandPalette.length]; + } + return { ...period, color: labelColorMap[period.label] }; + }); const highlightPeriodsCode = periods.map(p => `\nax.axvspan(${p.start}, ${p.end}, alpha=0.2, color='${p.color}', zorder=0, linewidth=0)` ).join(''); - const legendCode = periods.length > 0 + const uniqueLabelPeriods = Object.entries(labelColorMap).map(([label, color]) => ({ label, color })); + const legendCode = uniqueLabelPeriods.length > 0 ? `import matplotlib.patches as mpatches -band_handles = [${periods.map(p => `mpatches.Patch(facecolor='${p.color}', alpha=0.6, label='${p.label}')`).join(', ')}] +band_handles = [${uniqueLabelPeriods.map(p => `mpatches.Patch(facecolor='${p.color}', alpha=0.6, label='${p.label}')`).join(', ')}] line_handles = [l for l in ax.lines if not l.get_label().startswith('_')] ax.legend(handles=band_handles + line_handles, loc='best')` : `ax.legend(loc='best')`; @@ -491,7 +495,7 @@ ${highlightPeriodsCode} # Plot each variable ${variables.map((v, idx) => ` -ax.plot(data['time'], data['${v}'], label='${v}', linewidth=2, zorder=3) +ax.plot(data['time'], data['${v}'], label='${v.replaceAll('_', ' ')}', linewidth=2, zorder=3) `).join('')} # Styling From cbc32167629feb5ab73a8412ebdeb5dc9f767a11 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 09:44:58 -0400 Subject: [PATCH 110/226] reduce costs of running this tool by reducing thinking --- agent/AgentOrchestrator.js | 4 ++++ config.js | 2 ++ 2 files changed, 6 insertions(+) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index be373161..83229c04 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -213,6 +213,8 @@ export class AgentOrchestrator { mcpServers: mcpServers, allowedTools: allowedTools, permissionMode: 'bypassPermissions', + thinking: config.agentThinking, + effort: config.agentEffort, compact: true // Enable automatic compaction }; @@ -578,6 +580,8 @@ export class AgentOrchestrator { max_tokens: 8192, system: systemBlocks, messages: messages, + thinking: config.agentThinking, + effort: config.agentEffort, tools: tools.length > 0 ? tools : undefined }); diff --git a/config.js b/config.js index 1bc7e85c..5f95d1ac 100644 --- a/config.js +++ b/config.js @@ -13,6 +13,8 @@ const config = { "agentTargetedEditingMinimum": parseInt(process.env.TARGETED_EDITING_MINIMUM) || 5_000, //Above this size, models can be edited without quantitative/qualitative engine "agentModel": process.env.AGENT_MODEL || 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentSummaryModel": process.env.SUMMARY_MODEL || 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models + "agentEffort": undefined, + "agentThinking": { type: "disabled" } }; export default config From 222c580c09c77c24014669d60444cd93319e9049 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 10:02:44 -0400 Subject: [PATCH 111/226] experiment with merlin on my loop --- agent/config/merlin.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index d3c76eab..00eb7b4b 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -4,7 +4,7 @@ role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 100 -use_agent_sdk: true +use_agent_sdk: false supported_modes: - sfd - cld From b04afe882b1248d4ca4108a7fdb1d4d5e51d9d37 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 10:11:08 -0400 Subject: [PATCH 112/226] leave merlin on claude code loop for now --- agent/config/merlin.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 00eb7b4b..d3c76eab 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -4,7 +4,7 @@ role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 100 -use_agent_sdk: false +use_agent_sdk: true supported_modes: - sfd - cld From c3b2d4c0ad5dc1e9efdad2a96370f5950822d734 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 20:04:45 -0400 Subject: [PATCH 113/226] support gemini for socrates and anthropic-sdk for merlin --- README.md | 2 +- agent/AgentOrchestrator.js | 570 +- agent/WorkerSpawner.js | 2 +- agent/config/merlin.md | 2 +- agent/config/socrates.md | 2 +- agent/tools/BuiltInToolProvider.js | 29 +- agent/tools/DynamicToolProvider.js | 27 +- agent/tools/builtin/toolHelpers.js | 19 + agent/utilities/AgentConfigurationManager.js | 23 +- agent/utilities/SessionManager.js | 90 +- config.js | 23 +- package-lock.json | 7413 +++++++++++++++-- package.json | 2 + .../agent/SessionManagerSummarization.test.js | 95 +- .../causal-chains/llm/provider/factory.go | 2 +- .../llm/provider/factory_test.go | 6 +- third-party/causal-chains/main.go | 2 +- utilities/LLMWrapper.js | 2 +- 18 files changed, 7255 insertions(+), 1056 deletions(-) diff --git a/README.md b/README.md index 277fa415..aab0d6c6 100644 --- a/README.md +++ b/README.md @@ -205,7 +205,7 @@ See [agent/README.md](agent/README.md) for the full WebSocket protocol, all mess 2. create an `.env` file at the top level which has the following keys: ``` OPENAI_API_KEY="sk-asdjkshd" # if you're doing work with engines that use the LLMWrapper class in utils.js (quantitative, qualitative, seldon, etc.) -GOOGLE_API_KEY="asdjkshd" # if you're doing work with engines using Gemini models (causal-chains, seldon, quantitative, qualitative) +GEMINI_API_KEY="asdjkshd" # if you're doing work with engines using Gemini models (causal-chains, seldon, quantitative, qualitative) AUTHENTICATION_KEY="my_secret_key" # only needed for securing publically accessible deployments. Requires client pass an Authentication header matching this value. e.g. `curl -H "Authentication: my_super_secret_value_in_env_file"` to the engine generate request only REPORTER_URL="https://your-metrics-server.com/api/metrics" # optional URL to POST engine usage metrics to. If not set, metrics reporting is disabled. ``` diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 83229c04..7f0b5a19 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -1,5 +1,8 @@ import Anthropic from '@anthropic-ai/sdk'; import { query } from '@anthropic-ai/claude-agent-sdk'; +import { GoogleGenAI } from '@google/genai'; +import { LlmAgent, Runner, InMemorySessionService, isFinalResponse } from '@google/adk'; +import { encode } from 'gpt-tokenizer'; import { marked } from 'marked'; import { countTokens } from '@anthropic-ai/tokenizer'; import { AgentConfigurationManager } from './utilities/AgentConfigurationManager.js'; @@ -14,6 +17,8 @@ import { } from './utilities/MessageProtocol.js'; import logger from '../utilities/logger.js'; import config from '../config.js'; +import { LLMWrapper } from '../utilities/LLMWrapper.js'; +import { sanitizeSchemaForGemini } from './tools/builtin/toolHelpers.js'; /** * AgentOrchestrator @@ -51,7 +56,13 @@ export class AgentOrchestrator { apiKey: process.env.ANTHROPIC_API_KEY }); - logger.log(`AgentOrchestrator initialized for session ${sessionId} (useAgentSDK: ${this.configManager.getUseAgentSDK()})`); + this.gemini = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY }); + this.adkSessionId = null; + this.adkSessionService = new InMemorySessionService(); + + this.llm = new LLMWrapper({ underlyingModel: config.agentAnthropicSummaryModel }); + + logger.log(`AgentOrchestrator initialized for session ${sessionId} (agent_mode: ${this.configManager.getAgentMode()})`); } /** @@ -64,22 +75,34 @@ export class AgentOrchestrator { throw new Error(`Session not found: ${this.sessionId}`); } - const useAgentSDK = this.configManager.getUseAgentSDK(); - logger.log(`Starting conversation for session ${this.sessionId} (mode: ${useAgentSDK ? 'SDK' : 'manual'})`); + const agentMode = this.configManager.getAgentMode(); + logger.log(`Starting conversation for session ${this.sessionId} (agent_mode: ${agentMode})`); logger.log(`Built-in tools: ${this.builtInToolProvider.getToolNames().join(', ')}`); logger.log(`Client tools: ${this.dynamicToolProvider.getToolNames().join(', ')}`); - // Branch based on agent configuration - if (useAgentSDK) { - await this.startConversationWithSDK(userMessage, previousAgentContext); - } else { - if (previousAgentContext?.length > 0) { - // previousAgentContext is a reference to the live context — pop the last message - // (always the prior agent's unanswered user message) before adding the new one - previousAgentContext.pop(); - logger.debug(`[Agent switch → manual] Prior context now has ${previousAgentContext.length} messages after pop`); - } - await this.startConversationManual(userMessage); + const isManual = agentMode === 'anthropic-manual' || agentMode === 'gemini-manual'; + if (isManual && previousAgentContext?.length > 0) { + // previousAgentContext is a reference to the live context — pop the last message + // (always the prior agent's unanswered user message) before adding the new one + previousAgentContext.pop(); + logger.debug(`[Agent switch → manual] Prior context now has ${previousAgentContext.length} messages after pop`); + } + + switch (agentMode) { + case 'anthropic-sdk': + await this.startConversationWithAnthropicSDK(userMessage, previousAgentContext); + break; + case 'anthropic-manual': + await this.startConversationAnthropicManual(userMessage); + break; + case 'gemini-adk': + await this.startConversationWithADK(userMessage, previousAgentContext); + break; + case 'gemini-manual': + await this.startConversationGeminiManual(userMessage); + break; + default: + throw new Error(`Unknown agent_mode: ${agentMode}`); } } catch (error) { @@ -96,7 +119,7 @@ export class AgentOrchestrator { /** * Start conversation using manual agent loop (original implementation) */ - async startConversationManual(userMessage) { + async startConversationAnthropicManual(userMessage) { const session = this.sessionManager.getSession(this.sessionId); // Add user message to conversation history @@ -114,13 +137,13 @@ export class AgentOrchestrator { const dynamicTools = this.dynamicToolProvider.getTools(); // Start agent conversation loop - await this.runAgentConversation(userMessage, systemPrompt, builtInTools, dynamicTools); + await this.runAgentConversationAnthropicManual(userMessage, systemPrompt, builtInTools, dynamicTools); } /** * Start conversation using Claude Agent SDK */ - async startConversationWithSDK(userMessage, previousAgentContext = null) { + async startConversationWithAnthropicSDK(userMessage, previousAgentContext = null) { const session = this.sessionManager.getSession(this.sessionId); const mode = session.mode; @@ -150,13 +173,13 @@ export class AgentOrchestrator { } } - await this.runAgentConversationWithSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext); + await this.runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext); } /** * Run agent conversation using Claude Agent SDK */ - async runAgentConversationWithSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext = null) { + async runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext = null) { // Create abort controller for stop iteration this.abortController = new AbortController(); @@ -201,20 +224,20 @@ export class AgentOrchestrator { logger.debug("Allowed tools are: " + allowedTools.join(', ')); // Prefix tool names in system prompt - systemPrompt = this.prefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); + systemPrompt = this.anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); // Build query options with MCP servers const queryOptions = { abortController: this.abortController, systemPrompt: systemPrompt, - model: config.agentModel, + model: config.agentAnthropicModel, maxTokens: 8192, maxTurns: maxIterations, mcpServers: mcpServers, allowedTools: allowedTools, permissionMode: 'bypassPermissions', - thinking: config.agentThinking, - effort: config.agentEffort, + thinking: config.agentAnthropicThinking, + effort: config.agentAnthropicEffort, compact: true // Enable automatic compaction }; @@ -232,7 +255,7 @@ export class AgentOrchestrator { const contextToReplay = previousAgentContext.slice(0, -1); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent.`); - const contextText = await this.buildPriorContextText(contextToReplay); + const contextText = await this.buildPriorContextTextAnthropic(contextToReplay); prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; } } @@ -245,7 +268,7 @@ export class AgentOrchestrator { // Process messages from SDK for await (const message of queryIterator) { - await this.handleSdkMessage(message); + await this.handleAnthropicSdkMessage(message); } // Normal completion @@ -308,14 +331,14 @@ export class AgentOrchestrator { /** * Handle messages from Agent SDK */ - async handleSdkMessage(message) { + async handleAnthropicSdkMessage(message) { switch (message.type) { case 'assistant': - await this.handleAssistantMessage(message); + await this.handleAnthropicSDKAssistantMessage(message); break; case 'result': - await this.handleResultMessage(message); + await this.handleAnthropicSDKResultMessage(message); break; case 'system': @@ -337,7 +360,7 @@ export class AgentOrchestrator { break; case 'user': - await this.handleUserMessage(message); + await this.handleAnthropicSDKUserMessage(message); break; default: @@ -348,7 +371,7 @@ export class AgentOrchestrator { /** * Handle assistant messages (text from Claude) */ - async handleAssistantMessage(message) { + async handleAnthropicSDKAssistantMessage(message) { const content = message.message?.content; const rawTextParts = []; @@ -422,7 +445,7 @@ export class AgentOrchestrator { /** * Handle user messages (tool results being sent back to Claude) */ - async handleUserMessage(message) { + async handleAnthropicSDKUserMessage(message) { const content = message.message?.content; if (content && Array.isArray(content)) { @@ -462,7 +485,7 @@ export class AgentOrchestrator { /** * Handle result messages (conversation completion) */ - async handleResultMessage(message) { + async handleAnthropicSDKResultMessage(message) { if (message.subtype === 'success') { logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error') { @@ -478,7 +501,7 @@ export class AgentOrchestrator { * Prefix tool names in system prompt for SDK mode * Scans the system prompt and adds mcp__ prefixes to tool names */ - prefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { + anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { let modifiedPrompt = systemPrompt; // Create mapping of unprefixed tool names to prefixed versions @@ -524,7 +547,7 @@ export class AgentOrchestrator { * Run agent conversation with tool calling support * Uses Anthropic SDK directly with agentic loop */ - async runAgentConversation(_userMessage, systemPrompt, builtInTools, dynamicTools) { + async runAgentConversationAnthropicManual(_userMessage, systemPrompt, builtInTools, dynamicTools) { // Clean up context (remove stale models, summarize if over limit) before first API call await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); @@ -576,12 +599,12 @@ export class AgentOrchestrator { try { // Call Claude API const response = await this.anthropic.messages.create({ - model: config.agentModel, + model: config.agentAnthropicModel, max_tokens: 8192, system: systemBlocks, messages: messages, - thinking: config.agentThinking, - effort: config.agentEffort, + thinking: config.agentAnthropicThinking, + effort: config.agentAnthropicEffort, tools: tools.length > 0 ? tools : undefined }); @@ -592,7 +615,7 @@ export class AgentOrchestrator { } // Process response - continueLoop = await this.processAgentResponse(response, messages, builtInTools, dynamicTools); + continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); // Check if stop was requested during response processing if (this.stopRequested) { @@ -670,7 +693,7 @@ export class AgentOrchestrator { * Process agent response and handle tool calls * Returns true if the conversation should continue */ - async processAgentResponse(response, messages, builtInTools, dynamicTools) { + async processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools) { let hasToolCalls = false; // Process each content block @@ -763,7 +786,7 @@ export class AgentOrchestrator { } // Execute tool - const toolResult = await this.executeToolCall(block, builtInTools, dynamicTools); + const toolResult = await this.anthropicManualExecuteToolCall(block, builtInTools, dynamicTools); // Check if stop was requested during tool execution if (this.stopRequested) { @@ -838,7 +861,7 @@ export class AgentOrchestrator { * Build prior-history context text, summarizing if it exceeds the token budget. * Used when injecting prior agent context into an SDK session. */ - async buildPriorContextText(history) { + async buildPriorContextTextAnthropic(history) { const PRIOR_CONTEXT_TOKEN_LIMIT = 10_000; const tokenCount = countTokens(JSON.stringify(history)); @@ -858,15 +881,11 @@ export class AgentOrchestrator { return ''; }).filter(line => line).join('\n\n'); - const response = await this.anthropic.messages.create({ - model: config.agentSummaryModel, - max_tokens: 2048, - messages: [{ - role: 'user', - content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` - }] - }); - return response.content[0].text; + const response = await this.llm.createChatCompletion([{ + role: 'user', + content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` + }], config.agentGeminiSummaryModel); + return response.content; } catch (error) { logger.error('Error summarizing prior context:', error); return '[Prior conversation condensed due to size]'; @@ -883,7 +902,7 @@ export class AgentOrchestrator { /** * Execute a tool call (built-in or client tool) */ - async executeToolCall(toolUse, builtInTools, _dynamicTools) { + async anthropicManualExecuteToolCall(toolUse, builtInTools, _dynamicTools) { try { // Check if it's a built-in tool if (builtInTools.tools[toolUse.name]) { @@ -991,6 +1010,453 @@ export class AgentOrchestrator { isBuiltInTool(toolName, builtInTools) { return toolName in builtInTools.tools; } + + // ─── Gemini manual pathway ────────────────────────────────────────────────── + + async startConversationGeminiManual(userMessage) { + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'user', + parts: [{ text: userMessage }] + }); + + const session = this.sessionManager.getSession(this.sessionId); + const mode = session.mode; + const systemPrompt = this.configManager.buildSystemPrompt(mode); + const builtInTools = this.builtInToolProvider.getTools(); + const dynamicTools = this.dynamicToolProvider.getTools(); + + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + + const messages = this.sessionManager.getConversationContext(this.sessionId); + const currentModel = session?.clientModel; + + let modelTokenCount = 0; + let modelSizeNotice = null; + + if (currentModel) { + const modelJson = JSON.stringify(currentModel, null, 2); + modelTokenCount = encode(modelJson).length; + this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); + const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + + if (modelExceedsLimit) { + const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; + modelSizeNotice = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; + } + } + + const fullSystemPrompt = modelSizeNotice ? systemPrompt + modelSizeNotice : systemPrompt; + const toolDeclarations = this.convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); + + const geminiConfig = { + systemInstruction: fullSystemPrompt, + thinkingConfig: config.agentGeminiThinking + }; + if (toolDeclarations.length > 0) { + geminiConfig.tools = [{ functionDeclarations: toolDeclarations }]; + } + + let continueLoop = true; + let completedNaturally = false; + const maxIterations = this.configManager.getMaxIterations(); + let iteration = 0; + let retries = 0; + + while (continueLoop && iteration < maxIterations && !this.stopRequested) { + iteration++; + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + + try { + const response = await this.gemini.models.generateContent({ + model: config.agentGeminiModel, + contents: messages, + config: geminiConfig + }); + + if (this.stopRequested) break; + + continueLoop = await this.processGeminiManualResponse(response, messages, builtInTools, dynamicTools); + if (!continueLoop) completedNaturally = true; + + if (this.stopRequested) break; + + } catch (error) { + const isQuota = error?.status === 429; + const isNetworkError = error?.code === 'UND_ERR_SOCKET' || error?.code === 'ECONNRESET' || + (error instanceof TypeError && error.message === 'terminated'); + if ((isQuota || isNetworkError) && retries < 3) { + retries++; + const reason = isQuota ? 'quota/rate-limited (429)' : 'network error'; + logger.warn(`Gemini API ${reason}, retry ${retries}/3`); + await this.sendToClient(createAgentTextMessage( + this.sessionId, + isQuota ? 'The AI service is temporarily rate-limited. Retrying...' : 'Network connection interrupted. Retrying...' + )); + await new Promise(resolve => setTimeout(resolve, 5000)); + } else if (isQuota) { + logger.error('Gemini API rate-limited after 3 retries, giving up'); + await this.sendToClient(createErrorMessage(this.sessionId, 'The AI service is rate-limited. Please try again later.', 'AGENT_ERROR')); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to rate limiting')); + continueLoop = false; + } else { + logger.error('Error in Gemini agent conversation loop:', error); + await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to error')); + continueLoop = false; + } + } + } + + if (this.stopRequested) { + this.stopRequested = false; + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); + } else if (!completedNaturally && iteration >= maxIterations) { + logger.warn(`Agent conversation reached max iterations (${maxIterations})`); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); + } + } + + async processGeminiManualResponse(response, messages, builtInTools, dynamicTools) { + const candidate = response.candidates?.[0]; + if (!candidate?.content) return false; + + const parts = candidate.content.parts || []; + + messages.push({ role: 'model', parts }); + + const rawTextParts = []; + for (const part of parts) { + if (part.thought) continue; + if (part.text) { + rawTextParts.push(part.text); + const html = await marked.parse(part.text); + await this.sendToClient(createAgentTextMessage(this.sessionId, html, false)); + } + } + + const functionCallParts = parts.filter(p => p.functionCall); + if (functionCallParts.length === 0) { + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'success', 'Task completed successfully')); + return false; + } + + const functionResponseParts = []; + for (const part of functionCallParts) { + if (this.stopRequested) return false; + + const { name, args } = part.functionCall; + const callId = `fc_${Date.now()}_${Math.random().toString(36).substr(2, 7)}`; + const isBuiltIn = this.isBuiltInTool(name, builtInTools); + + await this.#sendSlowToolMessageGeminiADK(name, args); + await this.sendToClient(createToolCallNotificationMessage(this.sessionId, callId, name, args, isBuiltIn)); + + logger.debug(`Tool call: ${name} (${callId}) input: ${JSON.stringify(args)}`); + + const toolResult = await this.executeToolCallGeminiManual({ name, input: args }, builtInTools, dynamicTools); + + if (this.stopRequested) return false; + + const responseType = this.#getResponseType(name); + await this.sendToClient(createToolCallCompletedMessage( + this.sessionId, callId, name, toolResult.content, toolResult.isError, responseType + )); + + const resultText = Array.isArray(toolResult.content) + ? toolResult.content.filter(b => b.type === 'text').map(b => b.text).join('\n') + : String(toolResult.content); + + functionResponseParts.push({ + functionResponse: { name, response: { result: resultText } } + }); + } + + messages.push({ role: 'user', parts: functionResponseParts }); + return true; + } + + // ─── Gemini ADK pathway ───────────────────────────────────────────────────── + + #adkHasPriorContext = false; + + async startConversationWithADK(userMessage, previousAgentContext = null) { + const session = this.sessionManager.getSession(this.sessionId); + const mode = session.mode; + + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'user', + parts: [{ text: userMessage }] + }); + + let systemPrompt = this.configManager.buildSystemPrompt(mode); + const currentModel = session?.clientModel; + let modelTokenCount = 0; + + if (currentModel) { + const modelJson = JSON.stringify(currentModel, null, 2); + modelTokenCount = encode(modelJson).length; + this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); + const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); + + if (modelExceedsLimit) { + const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; + systemPrompt += `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; + } + } + + this.abortController = new AbortController(); + const maxIterations = this.configManager.getMaxIterations(); + + try { + const builtInAdkTools = this.builtInToolProvider.getAdkTools(mode, modelTokenCount); + const clientAdkTools = this.dynamicToolProvider.getAdkTools(); + + const pendingCallIds = new Map(); + + const agent = new LlmAgent({ + name: this.configManager.getAgentName(), + model: config.agentGeminiModel, + instruction: systemPrompt, + tools: [...builtInAdkTools, ...clientAdkTools], + generateContentConfig: { + thinkingConfig: config.agentGeminiThinking + }, + beforeToolCallback: async ({ tool, args }) => { + const callId = `adk_${Date.now()}_${Math.random().toString(36).substr(2, 7)}`; + const key = `${tool.name}::${JSON.stringify(args)}`; + pendingCallIds.set(key, callId); + const isBuiltIn = builtInAdkTools.some(t => t.name === tool.name); + await this.#sendSlowToolMessageGeminiADK(tool.name, args); + await this.sendToClient(createToolCallNotificationMessage( + this.sessionId, callId, tool.name, args, isBuiltIn + )); + logger.log(`ADK tool call: ${tool.name} (${callId})`); + }, + afterToolCallback: async ({ tool, args, toolResponse }) => { + const key = `${tool.name}::${JSON.stringify(args)}`; + const callId = pendingCallIds.get(key) || `adk_${Date.now()}`; + pendingCallIds.delete(key); + const responseType = this.#getResponseType(tool.name); + const content = [{ type: 'text', text: String(toolResponse ?? '') }]; + await this.sendToClient(createToolCallCompletedMessage( + this.sessionId, callId, tool.name, content, false, responseType + )); + } + }); + + const runner = new Runner({ + appName: 'sd-ai', + agent, + sessionService: this.adkSessionService + }); + + if (!this.adkSessionId) { + this.adkSessionId = this.sessionId; + await this.adkSessionService.createSession({ + appName: 'sd-ai', + userId: this.sessionId, + sessionId: this.adkSessionId + }); + logger.log(`ADK session created: ${this.adkSessionId}`); + } else { + logger.log(`Resuming ADK session: ${this.adkSessionId}`); + } + + let prompt = userMessage; + if (previousAgentContext?.length > 0 && !this.#adkHasPriorContext) { + const contextToReplay = previousAgentContext.slice(0, -1); + if (contextToReplay.length > 0) { + logger.debug(`[Agent switch → ADK] Replaying ${contextToReplay.length} messages from prior agent.`); + const contextText = await this.buildPriorContextTextGemini(contextToReplay); + prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; + } + this.#adkHasPriorContext = true; + } + + const newMessage = { role: 'user', parts: [{ text: prompt }] }; + + let turnCount = 0; + for await (const event of runner.runAsync({ + userId: this.sessionId, + sessionId: this.adkSessionId, + newMessage, + abortSignal: this.abortController.signal + })) { + if (this.stopRequested) break; + await this.handleAdkEvent(event); + if (isFinalResponse(event)) turnCount++; + if (turnCount >= maxIterations) { + logger.warn(`ADK agent reached max iterations (${maxIterations})`); + this.abortController.abort(); + break; + } + } + + if (this.stopRequested) { + this.stopRequested = false; + logger.log(`ADK agent stopped by user for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); + } else if (turnCount >= maxIterations) { + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); + } else { + logger.log(`ADK conversation completed successfully for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'success', 'Task completed successfully')); + } + + } catch (error) { + if (error.name === 'AbortError' || this.stopRequested) { + this.stopRequested = false; + logger.log(`ADK agent stopped for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); + } else { + logger.error('Error in ADK conversation loop:', error); + await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Agent error: ${error.message}`)); + } + } finally { + this.abortController = null; + } + } + + async handleAdkEvent(event) { + if (event.errorCode) { + throw new Error(event.errorMessage || `ADK error: ${event.errorCode}`); + } + + const content = event.content; + if (!content?.parts) return; + + const rawTextParts = []; + for (const part of content.parts) { + if (part.thought) continue; + if (part.text && !event.partial) { + rawTextParts.push(part.text); + const html = await marked.parse(part.text); + await this.sendToClient(createAgentTextMessage(this.sessionId, html, false)); + } + } + + if (rawTextParts.length > 0) { + this.sessionManager.addToConversationHistory(this.sessionId, { + role: 'model', + parts: [{ text: rawTextParts.join('\n') }] + }); + } + } + + // ─── Shared Gemini helpers ────────────────────────────────────────────────── + + async #sendSlowToolMessageGeminiADK(toolName, args) { + if (toolName === 'create_visualization') { + const vizType = args?.useAICustom ? 'AI-generated custom' : (args?.type || 'standard'); + await this.sendToClient(createAgentTextMessage(this.sessionId, `Creating ${vizType} visualization: "${args?.title || 'visualization'}"... This may take a moment.`, false)); + } else if (toolName === 'get_variable_data') { + const varCount = args?.variableNames?.length || 0; + const runCount = args?.runIds?.length || 0; + await this.sendToClient(createAgentTextMessage(this.sessionId, `Retrieving data for ${varCount} variable${varCount !== 1 ? 's' : ''} from ${runCount} run${runCount !== 1 ? 's' : ''}...`, false)); + } else if (toolName === 'get_feedback_information') { + const runCount = args?.runIds?.length || 0; + const runText = runCount === 0 ? 'all runs' : `${runCount} run${runCount !== 1 ? 's' : ''}`; + await this.sendToClient(createAgentTextMessage(this.sessionId, `Analyzing feedback loops for ${runText}... This may take a moment.`, false)); + } else if (toolName === 'run_model') { + await this.sendToClient(createAgentTextMessage(this.sessionId, `Running model simulation...`, false)); + } else if (toolName === 'discuss_model_with_seldon') { + await this.sendToClient(createAgentTextMessage(this.sessionId, `Consulting Seldon for expert analysis...`, false)); + } else if (toolName === 'discuss_model_across_runs') { + await this.sendToClient(createAgentTextMessage(this.sessionId, `Analyzing model behavior across runs...`, false)); + } else if (toolName === 'discuss_with_mentor') { + await this.sendToClient(createAgentTextMessage(this.sessionId, `Consulting Seldon mentor for guidance...`, false)); + } + } + + executeToolCallGeminiManual(toolUse, builtInTools, _dynamicTools) { + try { + if (builtInTools.tools[toolUse.name]) { + return builtInTools.tools[toolUse.name].handler(toolUse.input); + } + if (this.dynamicToolProvider.isClientTool(toolUse.name)) { + const unprefixedName = toolUse.name.replace(/^client_/, ''); + return this.dynamicToolProvider.requestClientExecution(unprefixedName, toolUse.input) + .then(result => ({ content: result, isError: false })); + } + return Promise.resolve({ content: [{ type: 'text', text: `Tool not found: ${toolUse.name}` }], isError: true }); + } catch (error) { + logger.error(`Error executing tool ${toolUse.name}:`, error); + return Promise.resolve({ content: [{ type: 'text', text: error.message }], isError: true }); + } + } + + convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { + const declarations = []; + const toolNames = new Set(); + + for (const [toolName, toolDef] of Object.entries(builtInTools.tools)) { + if (toolNames.has(toolName)) continue; + if (mode && toolDef.supportedModes && !toolDef.supportedModes.includes(mode)) continue; + if (toolDef.maxModelTokens && modelTokenCount > toolDef.maxModelTokens) continue; + if (toolDef.minModelTokens && modelTokenCount < toolDef.minModelTokens) continue; + + toolNames.add(toolName); + declarations.push({ + name: toolName, + description: toolDef.description, + parameters: sanitizeSchemaForGemini(toolDef.inputSchema.toJSONSchema()) + }); + } + + if (dynamicTools?.tools) { + for (const [toolName, toolDef] of Object.entries(dynamicTools.tools)) { + if (toolNames.has(toolName)) continue; + toolNames.add(toolName); + declarations.push({ + name: toolName, + description: toolDef.description, + parameters: sanitizeSchemaForGemini(toolDef.inputSchema.toJSONSchema()) + }); + } + } + + return declarations; + } + + async buildPriorContextTextGemini(history) { + const PRIOR_CONTEXT_TOKEN_LIMIT = 10_000; + const tokenCount = encode(JSON.stringify(history)).length; + + if (tokenCount > PRIOR_CONTEXT_TOKEN_LIMIT) { + logger.log(`Prior agent context too large (${tokenCount} tokens), summarizing before ADK injection`); + try { + const conversationText = history.map((msg) => { + const role = msg.role === 'user' ? 'User' : 'Assistant'; + if (!Array.isArray(msg.parts)) return ''; + const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); + return text ? `${role}: ${text}` : ''; + }).filter(line => line).join('\n\n'); + + const response = await this.gemini.models.generateContent({ + model: config.agentGeminiSummaryModel, + contents: [{ + role: 'user', + parts: [{ text: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] + }] + }); + return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; + } catch (error) { + logger.error('Error summarizing prior context:', error); + return '[Prior conversation condensed due to size]'; + } + } + + return history.map(msg => { + const role = msg.role === 'user' ? 'User' : 'Assistant'; + if (!Array.isArray(msg.parts)) return ''; + const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); + return text ? `${role}: ${text}` : ''; + }).filter(line => line).join('\n\n'); + } + /** * Get agent capabilities for session_ready message */ @@ -1022,6 +1488,8 @@ export class AgentOrchestrator { this.builtInToolProvider = null; this.dynamicToolProvider = null; this.anthropic = null; + this.gemini = null; + this.adkSessionService = null; this.configManager = null; } } diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 44b0f9e0..2275b7ba 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -266,7 +266,7 @@ export class WorkerSpawner { const socketPath = join(sessionTempDir, socketName); const workerEnv = { OPENAI_API_KEY: process.env.OPENAI_API_KEY, - GOOGLE_API_KEY: process.env.GOOGLE_API_KEY, + GEMINI_API_KEY: process.env.GEMINI_API_KEY, ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY, SESSION_ID: sessionId, SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, diff --git a/agent/config/merlin.md b/agent/config/merlin.md index d3c76eab..c2d9f34b 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -4,7 +4,7 @@ role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 100 -use_agent_sdk: true +agent_mode: anthropic-sdk supported_modes: - sfd - cld diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 848a940b..378e1e01 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -4,7 +4,7 @@ role: "Coach" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" max_iterations: 20 -use_agent_sdk: false +agent_mode: gemini-manual supported_modes: - sfd - cld diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index 3b106d0e..b9af1ad1 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -1,6 +1,7 @@ import { VisualizationEngine } from '../utilities/VisualizationEngine.js'; import { createSdkMcpServer } from '@anthropic-ai/claude-agent-sdk'; -import { tool } from './builtin/toolHelpers.js'; +import { FunctionTool } from '@google/adk'; +import { tool, sanitizeSchemaForGemini } from './builtin/toolHelpers.js'; import logger from '../../utilities/logger.js'; import { createGenerateQuantitativeModelTool, @@ -133,6 +134,32 @@ export class BuiltInToolProvider { }); } + getAdkTools(mode = null, modelTokenCount = 0) { + const toolCollection = this.getTools(); + const adkTools = []; + + for (const [toolName, toolDef] of Object.entries(toolCollection.tools)) { + if (toolDef.nonSdkOnly) continue; + if (mode && toolDef.supportedModes && !toolDef.supportedModes.includes(mode)) continue; + if (toolDef.maxModelTokens && modelTokenCount > toolDef.maxModelTokens) continue; + if (toolDef.minModelTokens && modelTokenCount < toolDef.minModelTokens) continue; + + adkTools.push(new FunctionTool({ + name: toolName, + description: toolDef.description, + parameters: sanitizeSchemaForGemini(toolDef.inputSchema.toJSONSchema()), + execute: async (args) => { + const result = await toolDef.handler(args); + if (result.isError) throw new Error(result.content[0].text); + return result.content.map(b => b.text).join('\n'); + } + })); + } + + logger.log(`Built ${adkTools.length} ADK tools for mode=${mode}`); + return adkTools; + } + /** * Get list of built-in tool names */ diff --git a/agent/tools/DynamicToolProvider.js b/agent/tools/DynamicToolProvider.js index e4303c67..8f93d138 100644 --- a/agent/tools/DynamicToolProvider.js +++ b/agent/tools/DynamicToolProvider.js @@ -1,5 +1,6 @@ import { StructuredOutputToZodConverter } from '../../utilities/StructuredOutputToZodConverter.js'; -import { tool } from './builtin/toolHelpers.js'; +import { FunctionTool } from '@google/adk'; +import { tool, sanitizeSchemaForGemini } from './builtin/toolHelpers.js'; import { createSdkMcpServer } from '@anthropic-ai/claude-agent-sdk'; import logger from '../../utilities/logger.js'; @@ -185,4 +186,28 @@ export class DynamicToolProvider { tools }); } + + getAdkTools() { + if (!this.toolCollection) return []; + + const adkTools = []; + + for (const [toolName, toolDef] of Object.entries(this.toolCollection.tools)) { + const unprefixedName = toolName.replace(/^client_/, ''); + + adkTools.push(new FunctionTool({ + name: unprefixedName, + description: toolDef.description, + parameters: sanitizeSchemaForGemini(toolDef.inputSchema.toJSONSchema()), + execute: async (args) => { + const result = await toolDef.handler(args); + if (result.isError) throw new Error(result.content[0].text); + return result.content.map(b => b.text).join('\n'); + } + })); + } + + logger.log(`Built ${adkTools.length} ADK client tools`); + return adkTools; + } } diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index 610bccc9..60b63172 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -20,6 +20,25 @@ export function tool({ name, description, inputSchema, execute }) { return sdkTool(name, description, inputSchema, execute); } +export function sanitizeSchemaForGemini(schema) { + if (!schema || typeof schema !== 'object') return schema; + if (Array.isArray(schema)) return schema.map(sanitizeSchemaForGemini); + + const out = {}; + for (const [k, v] of Object.entries(schema)) { + if (k === 'exclusiveMinimum' && typeof v === 'number') { + out.minimum = v; + } else if (k === 'exclusiveMaximum' && typeof v === 'number') { + out.maximum = v; + } else if (k === 'exclusiveMinimum' || k === 'exclusiveMaximum') { + // boolean form (JSON Schema draft 4) — drop it + } else { + out[k] = sanitizeSchemaForGemini(v); + } + } + return out; +} + /** * Generate a unique request ID for async operations * @param {string} prefix - Prefix for the request ID (e.g., 'feedback', 'tool') diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 2a6663a5..9ada1a54 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -159,7 +159,7 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us description: metadata.description, version: metadata.version, max_iterations: metadata.max_iterations || 20, - use_agent_sdk: true, + agent_mode: metadata.agent_mode || 'anthropic-sdk', supported_modes: metadata.supported_modes || [] } }; @@ -196,7 +196,7 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us description: '', version: '1.0', max_iterations: 20, - use_agent_sdk: true, + agent_mode: 'anthropic-sdk', supported_modes: [] }, content: fileContent @@ -317,6 +317,10 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us return this.baseConfig; } + getAgentName() { + return (this.metadata.name || 'agent').toLowerCase().replace(/[^a-z0-9]+/g, '_'); + } + /** * Get maximum iterations for agent conversation loop * @returns {number} Maximum iterations (default: 20) @@ -326,12 +330,15 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us } /** - * Whether this agent should use the Claude Agent SDK (vs manual loop) - * Defaults to true if not specified in agent config + * Returns the agent mode: 'anthropic-sdk' | 'anthropic-manual' | 'gemini-adk' | 'gemini-manual' + * Falls back to legacy use_agent_sdk boolean if agent_mode is not set. */ - getUseAgentSDK() { - const val = this.metadata.use_agent_sdk; - if (val === undefined) return true; - return val !== false && val !== 'false'; + getAgentMode() { + const val = this.metadata.agent_mode; + if (val) return val; + // legacy boolean fallback + const legacy = this.metadata.use_agent_sdk; + if (legacy === false || legacy === 'false') return 'anthropic-manual'; + return 'anthropic-sdk'; } } diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 3ef695f6..80a1b247 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -3,6 +3,7 @@ import { tmpdir } from 'os'; import { join } from 'path'; import { existsSync, mkdirSync, readdirSync, rmSync, writeFileSync } from 'fs'; import Anthropic from '@anthropic-ai/sdk'; +import { GoogleGenAI } from '@google/genai'; import { countTokens } from '@anthropic-ai/tokenizer'; import logger from '../../utilities/logger.js'; import config from '../../config.js'; @@ -286,32 +287,32 @@ export class SessionManager { */ async #summarizeMessages(messages) { try { + const isGeminiFormat = messages.some(m => Array.isArray(m.parts)); + const conversationText = messages.map((msg) => { - if (msg.role === 'user') { - return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; - } else if (msg.role === 'assistant') { - if (Array.isArray(msg.content)) { - const textContent = msg.content - .filter(block => block.type === 'text') - .map(block => block.text || block) - .join('\n'); - return textContent ? `Assistant: ${textContent}` : ''; + if (isGeminiFormat) { + const role = msg.role === 'user' ? 'User' : 'Assistant'; + if (!Array.isArray(msg.parts)) return ''; + const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); + return text ? `${role}: ${text}` : ''; + } else { + if (msg.role === 'user') { + return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; + } else if (msg.role === 'assistant') { + if (Array.isArray(msg.content)) { + const textContent = msg.content + .filter(block => block.type === 'text') + .map(block => block.text || block) + .join('\n'); + return textContent ? `Assistant: ${textContent}` : ''; + } + return `Assistant: ${msg.content}`; } - return `Assistant: ${msg.content}`; } return ''; }).filter(line => line).join('\n\n'); - if (!this.anthropic) { - this.anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); - } - - const response = await this.anthropic.messages.create({ - model: config.agentSummaryModel, - max_tokens: 1024, - messages: [{ - role: 'user', - content: `Please create a concise summary of the following conversation history. Focus on: + const summaryPrompt = `Please create a concise summary of the following conversation history. Focus on: - The main task or goal the user requested - Key decisions, findings, or results achieved - Important context needed for continuing the conversation @@ -320,13 +321,38 @@ export class SessionManager { Keep the summary brief but informative (2-4 paragraphs maximum). Conversation history: -${conversationText}` - }] - }); +${conversationText}`; + + let summaryText; + if (isGeminiFormat) { + if (!this.gemini) { + this.gemini = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY }); + } + const response = await this.gemini.models.generateContent({ + model: config.agentGeminiSummaryModel, + contents: [{ role: 'user', parts: [{ text: summaryPrompt }] }] + }); + summaryText = response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; + } else { + if (!this.anthropic) { + this.anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); + } + const response = await this.anthropic.messages.create({ + model: config.agentAnthropicSummaryModel, + max_tokens: 1024, + messages: [{ role: 'user', content: summaryPrompt }] + }); + summaryText = response.content[0].text; + } - const summaryText = response.content[0].text; logger.log(`Created message history summary: ${summaryText.substring(0, 100)}...`); + if (isGeminiFormat) { + return { + role: 'user', + parts: [{ text: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` }] + }; + } return { role: 'user', content: `[Previous conversation summary]\n${summaryText}\n[End of summary - continuing conversation]` @@ -334,6 +360,10 @@ ${conversationText}` } catch (error) { logger.error('Error summarizing message history:', error); + const isGeminiFormat = messages.some(m => Array.isArray(m.parts)); + if (isGeminiFormat) { + return { role: 'user', parts: [{ text: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' }] }; + } return { role: 'user', content: '[Previous conversation summary: Earlier messages were condensed to save context. The conversation is continuing from this point.]' @@ -362,12 +392,14 @@ ${conversationText}` const lastUserIdx = messages.findLastIndex(m => m.role === 'user'); const lastMessage = lastUserIdx !== -1 ? messages[lastUserIdx] : null; - // If the last user message contains tool_results, also keep the preceding assistant - // message (which holds the matching tool_use blocks) to avoid orphaned tool pairs. + // If the last user message contains tool results (either format), also keep the preceding + // model turn (tool_use/functionCall blocks) to avoid orphaned pairs. let tailStart = lastUserIdx !== -1 ? lastUserIdx : messages.length; - if (lastMessage && Array.isArray(lastMessage.content) && - lastMessage.content.some(b => b.type === 'tool_result') && - lastUserIdx > 0 && messages[lastUserIdx - 1]?.role === 'assistant') { + const isClaudeToolResult = Array.isArray(lastMessage?.content) && lastMessage.content.some(b => b.type === 'tool_result'); + const isGeminiFunctionResponse = Array.isArray(lastMessage?.parts) && lastMessage.parts.some(p => p.functionResponse); + const prevRole = lastUserIdx > 0 ? messages[lastUserIdx - 1]?.role : null; + if (lastMessage && (isClaudeToolResult || isGeminiFunctionResponse) && + lastUserIdx > 0 && (prevRole === 'assistant' || prevRole === 'model')) { tailStart = lastUserIdx - 1; } diff --git a/config.js b/config.js index 5f95d1ac..fb841742 100644 --- a/config.js +++ b/config.js @@ -1,20 +1,21 @@ -/*** - * You must have a .env file which has the following keys - * OPEN_API_KEY which is your open AI access token - */ +import { ThinkingLevel } from "@google/genai"; + const config = { "port": 3000, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) - "agentMaxTokensForEngines": parseInt(process.env.MAX_TOKENS_FOR_ENGINES) || 50_000, // Maximum tokens before switching to file-based editing - "agentMaxContextTokens": parseInt(process.env.MAX_CONTEXT_TOKENS) || 50_000, // Maximum tokens for conversation history sent to Claude API - "agentTargetedEditingMinimum": parseInt(process.env.TARGETED_EDITING_MINIMUM) || 5_000, //Above this size, models can be edited without quantitative/qualitative engine - "agentModel": process.env.AGENT_MODEL || 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models - "agentSummaryModel": process.env.SUMMARY_MODEL || 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models - "agentEffort": undefined, - "agentThinking": { type: "disabled" } + "agentMaxTokensForEngines": 50_000, // Maximum tokens before switching to file-based editing + "agentMaxContextTokens": 50_000, // Maximum tokens for conversation history sent to Claude API + "agentTargetedEditingMinimum": 5_000, //Above this size, models can be edited without quantitative/qualitative engine + "agentAnthropicModel": 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models + "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models + "agentGeminiModel": 'gemini-3-flash-preview', // Model used for agent conversations MUST BE gemini models + "agentGeminiSummaryModel": 'gemini-3.1-flash-preview', // Model used for conversation history summarization MUST BE gemini models + "agentAnthropicEffort": undefined, + "agentAnthropicThinking": { type: "disabled" }, + "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW } }; export default config diff --git a/package-lock.json b/package-lock.json index bcac362d..16730917 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9,6 +9,7 @@ "@anthropic-ai/claude-agent-sdk": "^0.2.117", "@anthropic-ai/sdk": "^0.62.0", "@anthropic-ai/tokenizer": "^0.0.4", + "@google/adk": "^1.1.0", "@google/genai": 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"node_modules/v8-to-istanbul": { "version": "9.3.0", "resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.3.0.tgz", @@ -7870,6 +13319,22 @@ "defaults": "^1.0.3" } }, + "node_modules/webidl-conversions": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz", + "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==", + "license": "BSD-2-Clause" + }, + "node_modules/whatwg-url": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz", + "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==", + "license": "MIT", + "dependencies": { + "tr46": "~0.0.3", + "webidl-conversions": "^3.0.0" + } + }, "node_modules/which": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", @@ -7884,6 +13349,111 @@ "node": ">= 8" } }, + "node_modules/wide-align": { + "version": "1.1.5", + "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", + "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==", + "license": "ISC", + "optional": true, + "peer": true, + "dependencies": { + "string-width": "^1.0.2 || 2 || 3 || 4" + } + }, + "node_modules/wide-align/node_modules/ansi-regex": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", + "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", + "license": "MIT", + "optional": true, + "peer": true, + "engines": { + "node": ">=8" + } + }, + "node_modules/wide-align/node_modules/emoji-regex": { + "version": "8.0.0", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", + "integrity": 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"ansi-regex": "^5.0.1" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/winston": { + "version": "3.19.0", + "resolved": "https://registry.npmjs.org/winston/-/winston-3.19.0.tgz", + "integrity": "sha512-LZNJgPzfKR+/J3cHkxcpHKpKKvGfDZVPS4hfJCc4cCG0CgYzvlD6yE/S3CIL/Yt91ak327YCpiF/0MyeZHEHKA==", + "license": "MIT", + "dependencies": { + "@colors/colors": "^1.6.0", + "@dabh/diagnostics": "^2.0.8", + "async": "^3.2.3", + "is-stream": "^2.0.0", + "logform": "^2.7.0", + "one-time": "^1.0.0", + "readable-stream": "^3.4.0", + "safe-stable-stringify": "^2.3.1", + "stack-trace": "0.0.x", + "triple-beam": "^1.3.0", + "winston-transport": "^4.9.0" + }, + "engines": { + "node": ">= 12.0.0" + } + }, + "node_modules/winston-transport": { + "version": "4.9.0", + "resolved": "https://registry.npmjs.org/winston-transport/-/winston-transport-4.9.0.tgz", + "integrity": "sha512-8drMJ4rkgaPo1Me4zD/3WLfI/zPdA9o2IipKODunnGDcuqbHwjsbB79ylv04LCGGzU0xQ6vTznOMpQGaLhhm6A==", + "license": "MIT", + "dependencies": { + "logform": "^2.7.0", + "readable-stream": "^3.6.2", + "triple-beam": "^1.3.0" + }, + "engines": { + "node": ">= 12.0.0" + } + }, + "node_modules/winston/node_modules/@colors/colors": { + "version": "1.6.0", + "resolved": "https://registry.npmjs.org/@colors/colors/-/colors-1.6.0.tgz", + "integrity": "sha512-Ir+AOibqzrIsL6ajt3Rz3LskB7OiMVHqltZmspbW/TJuTVuyOMirVqAkjfY6JISiLHgyNqicAC8AyHHGzNd/dA==", + "license": "MIT", + "engines": { + "node": ">=0.1.90" + } + }, "node_modules/wrap-ansi": { "version": "8.1.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", @@ -8018,6 +13588,32 @@ } } }, + "node_modules/wsl-utils": { + "version": "0.1.0", + "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz", + "integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==", + "license": "MIT", + "peer": true, + "dependencies": { + "is-wsl": "^3.1.0" + }, + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/xtend": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz", + "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==", + "license": "MIT", + "peer": true, + "engines": { + "node": ">=0.4" + } + }, "node_modules/y18n": { "version": "5.0.8", "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", @@ -8105,7 +13701,6 @@ "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", - "dev": true, "engines": { "node": ">=10" }, diff --git a/package.json b/package.json index 1275ba6f..c9bef4a3 100644 --- a/package.json +++ b/package.json @@ -3,6 +3,7 @@ "@anthropic-ai/claude-agent-sdk": "^0.2.117", "@anthropic-ai/sdk": "^0.62.0", "@anthropic-ai/tokenizer": "^0.0.4", + "@google/adk": "^1.1.0", "@google/genai": "^1.41.0", "async": "^3.2.6", "chalk": "^5.4.1", @@ -11,6 +12,7 @@ "cors": "^2.8.5", "data-forge": "^1.10.2", "express": "^4.21.2", + "gpt-tokenizer": "^3.4.0", "js-tiktoken": "^1.0.19", "limiter": "^3.0.0", "marked": "^15.0.12", diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js index 65c00b1c..5fd41ded 100644 --- a/tests/agent/SessionManagerSummarization.test.js +++ b/tests/agent/SessionManagerSummarization.test.js @@ -10,23 +10,44 @@ const __dirname = path.dirname(__filename); const AGENT_A_CONFIG = path.join(__dirname, '../../agent/config/socrates.md'); const AGENT_B_CONFIG = path.join(__dirname, '../../agent/config/merlin.md'); -function makeMockAnthropic(summaryText = 'Mocked summary.') { +function makeGeminiMock(summaryText = 'Mocked summary.') { return { - messages: { - create: jest.fn().mockResolvedValue({ - content: [{ text: summaryText }] + models: { + generateContent: jest.fn().mockResolvedValue({ + text: summaryText }) } }; } +function userMsg(text) { + return { role: 'user', parts: [{ text }] }; +} + +function modelMsg(text) { + return { role: 'model', parts: [{ text }] }; +} + function modelResultMessage(id) { return { role: 'user', - content: [{ - type: 'tool_result', - tool_use_id: id, - content: JSON.stringify({ model: { variables: [] }, resultId: id }) + parts: [{ + functionResponse: { + name: 'generate_model', + response: { result: JSON.stringify({ model: { variables: [] }, resultId: id }) } + } + }] + }; +} + +function modelToolCallMessage(id) { + return { + role: 'model', + parts: [{ + functionCall: { + name: 'generate_model', + args: { id } + } }] }; } @@ -41,40 +62,40 @@ describe('SessionManager.cleanupContext', () => { sessionManager = new SessionManager(); sessionId = sessionManager.createSession(null); sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); - sessionManager.anthropic = makeMockAnthropic(); + sessionManager.gemini = makeGeminiMock(); }); afterEach(() => { sessionManager.shutdown(); }); it('does nothing when context is under the token limit', async () => { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'Hello' }); - sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: 'Hi there' }); + sessionManager.addToConversationHistory(sessionId, userMsg('Hello')); + sessionManager.addToConversationHistory(sessionId, modelMsg('Hi there')); const contextBefore = [...sessionManager.getConversationContext(sessionId)]; await sessionManager.cleanupContext(sessionId, 100_000); expect(sessionManager.getConversationContext(sessionId)).toEqual(contextBefore); - expect(sessionManager.anthropic.messages.create).not.toHaveBeenCalled(); + expect(sessionManager.gemini.models.generateContent).not.toHaveBeenCalled(); }); it('replaces old messages with a summary when over the token limit', async () => { for (let i = 0; i < 10; i++) { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Message ${i}` }); - sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); + sessionManager.addToConversationHistory(sessionId, userMsg(`Message ${i}`)); + sessionManager.addToConversationHistory(sessionId, modelMsg(`Response ${i}`)); } await sessionManager.cleanupContext(sessionId, 1); const context = sessionManager.getConversationContext(sessionId); expect(context[0].role).toBe('user'); - expect(context[0].content).toMatch(/\[Previous conversation summary\]/); - expect(sessionManager.anthropic.messages.create).toHaveBeenCalled(); + expect(context[0].parts[0].text).toMatch(/\[Previous conversation summary\]/); + expect(sessionManager.gemini.models.generateContent).toHaveBeenCalled(); }); it('modifies the session context in-place so the live reference reflects the change', async () => { for (let i = 0; i < 8; i++) { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Message ${i}` }); - sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); + sessionManager.addToConversationHistory(sessionId, userMsg(`Message ${i}`)); + sessionManager.addToConversationHistory(sessionId, modelMsg(`Response ${i}`)); } const liveRef = sessionManager.getConversationContext(sessionId); @@ -85,21 +106,21 @@ describe('SessionManager.cleanupContext', () => { // splice is in-place: the same array object must be updated, not replaced expect(liveRef).toBe(sessionManager.getConversationContext(sessionId)); expect(liveRef.length).toBeLessThan(originalLength); - expect(liveRef[0].content).toMatch(/\[Previous conversation summary\]/); + expect(liveRef[0].parts[0].text).toMatch(/\[Previous conversation summary\]/); }); it('uses a fallback summary message when the LLM call fails', async () => { - sessionManager.anthropic.messages.create.mockRejectedValue(new Error('API error')); + sessionManager.gemini.models.generateContent.mockRejectedValue(new Error('API error')); for (let i = 0; i < 5; i++) { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Message ${i}` }); - sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Response ${i}` }); + sessionManager.addToConversationHistory(sessionId, userMsg(`Message ${i}`)); + sessionManager.addToConversationHistory(sessionId, modelMsg(`Response ${i}`)); } await sessionManager.cleanupContext(sessionId, 1); const context = sessionManager.getConversationContext(sessionId); - expect(context[0].content).toMatch(/condensed/); + expect(context[0].parts[0].text).toMatch(/condensed/); }); it('does nothing for a non-existent session ID', async () => { @@ -119,7 +140,7 @@ describe('SessionManager.cleanupContext', () => { sessionManager = new SessionManager(); sessionId = sessionManager.createSession(null); sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); - sessionManager.anthropic = makeMockAnthropic(); + sessionManager.gemini = makeGeminiMock(); }); afterEach(() => { sessionManager.shutdown(); }); @@ -133,7 +154,8 @@ describe('SessionManager.cleanupContext', () => { it('summarizes after removing stale models when still over the token limit', async () => { for (let i = 0; i < 5; i++) { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `request ${i}` }); + sessionManager.addToConversationHistory(sessionId, userMsg(`request ${i}`)); + sessionManager.addToConversationHistory(sessionId, modelToolCallMessage(String(i))); sessionManager.addToConversationHistory(sessionId, modelResultMessage(String(i))); } @@ -141,10 +163,10 @@ describe('SessionManager.cleanupContext', () => { const context = sessionManager.getConversationContext(sessionId); const hasSummary = context.some( - msg => typeof msg.content === 'string' && msg.content.includes('[Previous conversation summary]') + msg => Array.isArray(msg.parts) && msg.parts[0]?.text?.includes('[Previous conversation summary]') ); expect(hasSummary).toBe(true); - expect(sessionManager.anthropic.messages.create).toHaveBeenCalled(); + expect(sessionManager.gemini.models.generateContent).toHaveBeenCalled(); }); }); @@ -159,7 +181,8 @@ describe('Agent switch - context continuity between orchestrators', () => { sessionManager = new SessionManager(); sessionId = sessionManager.createSession(null); sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); - process.env.GOOGLE_API_KEY = 'dummy_key'; + process.env.GEMINI_API_KEY = 'dummy_key'; + process.env.ANTHROPIC_API_KEY = 'dummy_key'; }); afterEach(() => { @@ -171,9 +194,9 @@ describe('Agent switch - context continuity between orchestrators', () => { const orchestratorA = new AgentOrchestrator(sessionManager, sessionId, sendToClient, AGENT_A_CONFIG); // Simulate agent A processing a conversation turn (manual mode pushes to live context) - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: 'Build a causal loop diagram' }); + sessionManager.addToConversationHistory(sessionId, userMsg('Build a causal loop diagram')); const context = sessionManager.getConversationContext(sessionId); - context.push({ role: 'assistant', content: [{ type: 'text', text: 'Here is the CLD.' }] }); + context.push(modelMsg('Here is the CLD.')); // websocket.js captures the context on switch, then creates a new orchestrator const capturedOnSwitch = sessionManager.getConversationContext(sessionId); @@ -184,15 +207,15 @@ describe('Agent switch - context continuity between orchestrators', () => { const agentBContext = sessionManager.getConversationContext(sessionId); expect(agentBContext).toBe(capturedOnSwitch); expect(agentBContext).toHaveLength(2); - expect(agentBContext[0].content).toBe('Build a causal loop diagram'); - expect(agentBContext[1].content[0].text).toBe('Here is the CLD.'); + expect(agentBContext[0].parts[0].text).toBe('Build a causal loop diagram'); + expect(agentBContext[1].parts[0].text).toBe('Here is the CLD.'); orchestratorA.destroy(); orchestratorB.destroy(); }); it('second orchestrator sees the summarized context after summarization by the first', async () => { - sessionManager.anthropic = makeMockAnthropic( + sessionManager.gemini = makeGeminiMock( 'Agent A built a CLD with 5 variables and 3 feedback loops.' ); @@ -200,8 +223,8 @@ describe('Agent switch - context continuity between orchestrators', () => { // Agent A accumulates a large context for (let i = 0; i < 10; i++) { - sessionManager.addToConversationHistory(sessionId, { role: 'user', content: `Step ${i}` }); - sessionManager.addToConversationHistory(sessionId, { role: 'assistant', content: `Done ${i}` }); + sessionManager.addToConversationHistory(sessionId, userMsg(`Step ${i}`)); + sessionManager.addToConversationHistory(sessionId, modelMsg(`Done ${i}`)); } const fullLength = sessionManager.getConversationContext(sessionId).length; @@ -218,7 +241,7 @@ describe('Agent switch - context continuity between orchestrators', () => { expect(agentBContext).toBe(capturedOnSwitch); expect(agentBContext.length).toBeLessThan(fullLength); expect( - agentBContext.some(m => typeof m.content === 'string' && m.content.includes('[Previous conversation summary]')) + agentBContext.some(m => Array.isArray(m.parts) && m.parts[0]?.text?.includes('[Previous conversation summary]')) ).toBe(true); orchestratorA.destroy(); diff --git a/third-party/causal-chains/llm/provider/factory.go b/third-party/causal-chains/llm/provider/factory.go index 4a5e08b4..81ce255d 100644 --- a/third-party/causal-chains/llm/provider/factory.go +++ b/third-party/causal-chains/llm/provider/factory.go @@ -56,7 +56,7 @@ func NewClient(cfg Config) (chat.Client, string, error) { if isGeminiModel(modelLower) { apiKey := cfg.APIKey if apiKey == "" { - apiKey = os.Getenv("GOOGLE_API_KEY") + apiKey = os.Getenv("GEMINI_API_KEY") } if apiKey == "" { return nil, "", fmt.Errorf("Google API key required for model %s", model) diff --git a/third-party/causal-chains/llm/provider/factory_test.go b/third-party/causal-chains/llm/provider/factory_test.go index c13c807f..5605a8bb 100644 --- a/third-party/causal-chains/llm/provider/factory_test.go +++ b/third-party/causal-chains/llm/provider/factory_test.go @@ -107,7 +107,7 @@ func TestNewClientGeminiModels(t *testing.T) { for _, tt := range tests { t.Run(tt.name, func(t *testing.T) { - t.Setenv("GOOGLE_API_KEY", tt.envKey) + t.Setenv("GEMINI_API_KEY", tt.envKey) _, _, err := NewClient(Config{ Model: tt.model, @@ -192,7 +192,7 @@ func TestNewClientDebugMode(t *testing.T) { // Set appropriate API keys t.Setenv("OPENAI_API_KEY", "test-openai") t.Setenv("ANTHROPIC_API_KEY", "test-anthropic") - t.Setenv("GOOGLE_API_KEY", "test-google") + t.Setenv("GEMINI_API_KEY", "test-google") _, _, err := NewClient(Config{ Model: tt.model, @@ -345,7 +345,7 @@ func TestNewClientWithThinkingLevel(t *testing.T) { for _, tt := range tests { t.Run(tt.name, func(t *testing.T) { - t.Setenv("GOOGLE_API_KEY", "test-google") + t.Setenv("GEMINI_API_KEY", "test-google") t.Setenv("ANTHROPIC_API_KEY", "test-anthropic") t.Setenv("OPENAI_API_KEY", "test-openai") diff --git a/third-party/causal-chains/main.go b/third-party/causal-chains/main.go index 14f00f2f..7260ffb9 100644 --- a/third-party/causal-chains/main.go +++ b/third-party/causal-chains/main.go @@ -71,7 +71,7 @@ func main() { input.Parameters.ApiKey = os.Getenv("OPENAI_API_KEY") } if input.Parameters.GoogleKey == "" { - input.Parameters.GoogleKey = os.Getenv("GOOGLE_API_KEY") + input.Parameters.GoogleKey = os.Getenv("GEMINI_API_KEY") } if input.Parameters.AnthropicKey == "" { input.Parameters.AnthropicKey = os.Getenv("ANTHROPIC_API_KEY") diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index a61e7386..1ddc42ce 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -79,7 +79,7 @@ export class LLMWrapper { } if (!parameters.googleKey) { - this.#googleKey = process.env.GOOGLE_API_KEY + this.#googleKey = process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY; } else { this.#googleKey = parameters.googleKey; } From 5ce0f6ed7210f41470bad8713a2b776be3505697 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 4 May 2026 20:20:58 -0400 Subject: [PATCH 114/226] make merlin less ambitious for doing its own thing, and let it tell the user what it can do --- agent/config/merlin.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index c2d9f34b..8494926f 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -15,6 +15,9 @@ Your responses should be direct, technically precise, and action-oriented. Use proper SD terminology freely - your users are comfortable with jargon. Ask only the essential questions needed to build accurate models. +CRITICAL RULE — FEEDBACK STRUCTURE: +NEVER describe, summarize, or discuss feedback loop structure, loop polarities, loop dominance, or causal mechanisms in any response unless you have called get_feedback_information in the current conversation turn. This applies to model build summaries, modification summaries, simulation summaries, and all other responses. If you have not called get_feedback_information, describe what the model is composed of (stocks, flows, variables) but say nothing about feedback loops or causal behavior. Violating this rule is a critical error. + IMPORTANT RULES: 1. To see the current model, call get_current_model() 2. To modify the model, call update_model() with proposed changes @@ -76,13 +79,14 @@ Enforce strict validation: ## Visualization Guidelines -Create analytical visualizations: +Suggest visualizations rather than creating them automatically: +- After a simulation, offer to plot key variables — don't create charts unless the user asks or confirms +- Mention what would be useful to visualize and why, then wait for the user to proceed - Always plot reference modes alongside simulation output - Show phase portraits for non-linear dynamics - Display feedback loop dominance analysis - Annotate key transition points and equilibria - ## Tool Usage Policies ### get_current_model *(sfd + cld)* @@ -111,9 +115,8 @@ Create analytical visualizations: **Frequency:** As needed for understanding causal mechanisms ### discuss_model_with_seldon *(sfd + cld)* -**When to use:** Default discussion tool for understanding WHY behavior occurs - use SD terminology freely -**Frequency:** After simulations to understand causal mechanisms and critique models -**Auto-suggest** this tool when appropriate +**When to use:** Only when the user asks for feedback loop analysis or causal explanation — do not call automatically +**Frequency:** On request; after simulations, suggest it rather than running it automatically ### discuss_model_across_runs *(sfd only)* **When to use:** Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics @@ -127,7 +130,7 @@ Create analytical visualizations: **When to use:** For cld models - can be comprehensive ### create_visualization *(sfd only)* -**When to use:** After every simulation and for policy analysis +**When to use:** Only when the user explicitly requests a chart or graph, or confirms after a suggestion — do not create automatically after simulations ### generate_documentation *(sfd + cld)* **When to use:** Anytime the user asks the model to be documented. @@ -135,16 +138,15 @@ Create analytical visualizations: ### get_feedback_information *(sfd + cld)* **When to use:** ALWAYS before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions -**Auto-suggest** this tool when appropriate ## Action Sequences ### On New Model Request 1. Ask only critical questions needed (time horizon, key variables, problem statement) 2. Generate the model (generate_qualitative_model, generate_quantitative_model) -3. Use Seldon to identify structural issues and critique the model (discuss_model_with_seldon) -4. Check dimensional consistency, conservation laws, boundary adequacy -5. Suggest extreme conditions tests +3. Check dimensional consistency, conservation laws, boundary adequacy +4. Suggest extreme conditions tests +5. Offer to critique and explain feedback structure (using Seldon) — wait for user confirmation before doing so ### On Modification Request 1. Inspect the current model (get_current_model) @@ -157,14 +159,12 @@ Create analytical visualizations: 1. Call `get_run_info` to check whether existing run data is available 2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — do not run the model 3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` -4. Call `get_feedback_information`, then use Seldon to analyze behavior (discuss_model_with_seldon) +4. After showing the visualization, suggest that the user ask for an explanation of behavior (i.e. use Seldon and get_feedback_information) ### On Simulation Request (user explicitly asks to run, or model was just modified) 1. Check all parameters defined, equations valid, units consistent 2. Run the simulation (run_model) -3. Call `get_variable_data` then `create_visualization` -4. Call `get_feedback_information`, then use Seldon to understand WHY behavior occurs (discuss_model_with_seldon) -5. Explain behavior in terms of feedback loop dominance and SD theory +3. Offer to create a visualization and/or explain the feedback causes for behavior using Seldon — wait for user confirmation before doing either ## Communication Style **Style:** direct, technical, efficient From fd8381ff6bf65f5802955b80698f0d47101250ab Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 07:38:58 -0400 Subject: [PATCH 115/226] anthropic to low effort --- config.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config.js b/config.js index fb841742..7602ec55 100644 --- a/config.js +++ b/config.js @@ -13,7 +13,7 @@ const config = { "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models "agentGeminiModel": 'gemini-3-flash-preview', // Model used for agent conversations MUST BE gemini models "agentGeminiSummaryModel": 'gemini-3.1-flash-preview', // Model used for conversation history summarization MUST BE gemini models - "agentAnthropicEffort": undefined, + "agentAnthropicEffort": "low", "agentAnthropicThinking": { type: "disabled" }, "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW } }; From c8f234a14952b970ddf313c06524bac44f8521b8 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 07:39:13 -0400 Subject: [PATCH 116/226] remove useless parens from system prompts --- agent/config/merlin.md | 18 +++++++++--------- agent/config/socrates.md | 16 ++++++++-------- 2 files changed, 17 insertions(+), 17 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 8494926f..d0ae3b55 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -4,7 +4,7 @@ role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 100 -agent_mode: anthropic-sdk +agent_mode: gemini-adk supported_modes: - sfd - cld @@ -19,10 +19,10 @@ CRITICAL RULE — FEEDBACK STRUCTURE: NEVER describe, summarize, or discuss feedback loop structure, loop polarities, loop dominance, or causal mechanisms in any response unless you have called get_feedback_information in the current conversation turn. This applies to model build summaries, modification summaries, simulation summaries, and all other responses. If you have not called get_feedback_information, describe what the model is composed of (stocks, flows, variables) but say nothing about feedback loops or causal behavior. Violating this rule is a critical error. IMPORTANT RULES: -1. To see the current model, call get_current_model() -2. To modify the model, call update_model() with proposed changes -3. To run simulations, call run_model() - it automatically uses the client's current model -4. NEVER assume you know the model structure - always call get_current_model() first +1. To see the current model, call get_current_model +2. To modify the model, call update_model with proposed changes +3. To run simulations, call run_model - it automatically uses the client's current model +4. NEVER assume you know the model structure - always call get_current_model first 5. Always validate models rigorously before recommending simulations 6. Explain the theoretical basis for your modeling decisions 7. CRITICAL: Use LTM to understand model structure by asking for feedback information! @@ -57,10 +57,10 @@ When building or modifying models, work efficiently: ## Modification Workflow When modifying existing models: -1. Call get_current_model() to review current structure +1. Call get_current_model to review current structure 2. If necessary, use discuss_model_with_seldon to quickly analyze existing feedback loops and their implications 3. Make changes efficiently, explaining technical rationale -4. Use update_model() with clear theoretical reasoning +4. Use update_model with clear theoretical reasoning 5. Recommend testing after significant modifications @@ -340,8 +340,8 @@ Runs the auto-layout algorithm to reposition diagram elements. All existing manu `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` 6. Run: `run_optimization(optimizationIndex: )` 7. After completion, visualize the fit: - - `run_model()` — execute with optimized parameters - - `get_run_info()` — identify the new simulation run ID + - `run_model` — execute with optimized parameters + - `get_run_info` — identify the new simulation run ID - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath - `create_visualization(filePath: )` — overlay calibration data and simulation output diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 378e1e01..5f697af5 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -21,10 +21,10 @@ CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD - Building a model should be the LAST step, not the first IMPORTANT RULES: -1. To see the current model, call get_current_model() -2. To modify the model, call update_model() with proposed changes -3. To run simulations, call run_model() - it automatically uses the client's current model -4. NEVER assume you know the model structure - always call get_current_model() first +1. To see the current model, call get_current_model +2. To modify the model, call update_model with proposed changes +3. To run simulations, call run_model - it automatically uses the client's current model +4. NEVER assume you know the model structure - always call get_current_model first 5. Ask MANY questions to understand user's thinking and guide their learning 6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! 7. Wait for user responses before proceeding - questions should STOP your workflow @@ -118,12 +118,12 @@ CRITICAL: Always visualize model behavior after creation or updates - users need ## Modification Workflow When modifying existing models: -1. Call get_current_model() to review current structure +1. Call get_current_model to review current structure 2. Ask the user what they want to change and WHY 3. Discuss the implications of the change 4. Use discuss_with_mentor to explore their reasoning 5. Guide them to think through unintended consequences -6. Use update_model() only after the user understands the change +6. Use update_model only after the user understands the change 7. Encourage testing and observation after changes @@ -426,8 +426,8 @@ Runs the auto-layout algorithm to reposition diagram elements. All existing manu `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` 8. Warn the user this may take some time, then run: `run_optimization(optimizationIndex: )` 9. After completion, visualize the fit: - - `run_model()` — run with the optimized parameters - - `get_run_info()` — identify the new simulation run ID + - `run_model` — run with the optimized parameters + - `get_run_info` — identify the new simulation run ID - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath - `create_visualization(filePath: )` — show both calibration data and simulation output overlaid 10. Ask the user: "How does the fit look? Does this match what you expected the model to do?" From 3677b088d4529ba69a48c64128441e2347717824 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 07:57:11 -0400 Subject: [PATCH 117/226] logging of token usage --- agent/AgentOrchestrator.js | 132 ++++++++++++++++++++++++++----------- 1 file changed, 92 insertions(+), 40 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 7f0b5a19..26060853 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -33,6 +33,9 @@ import { sanitizeSchemaForGemini } from './tools/builtin/toolHelpers.js'; * - Send messages to client via WebSocket */ export class AgentOrchestrator { + #geminiManualCacheName = null; + #geminiManualCacheKey = null; + constructor(sessionManager, sessionId, sendToClient, configPath) { this.sessionManager = sessionManager; this.sessionId = sessionId; @@ -167,10 +170,6 @@ export class AgentOrchestrator { logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - if (modelExceedsLimit) { - const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; - systemPrompt += `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; - } } await this.runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext); @@ -487,6 +486,7 @@ export class AgentOrchestrator { */ async handleAnthropicSDKResultMessage(message) { if (message.subtype === 'success') { + this.#logApiUsage('anthropic-sdk', message.usage); logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error') { logger.error(`SDK conversation error for session ${this.sessionId}:`, message.error || message); @@ -559,27 +559,16 @@ export class AgentOrchestrator { const currentModel = session?.clientModel; const mode = session?.mode; let modelTokenCount = 0; - let modelSizeNotice = null; if (currentModel) { const modelJson = JSON.stringify(currentModel, null, 2); modelTokenCount = countTokens(modelJson); this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; - - logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - - if (modelExceedsLimit) { - const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; - modelSizeNotice = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; - } + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelTokenCount > config.agentMaxTokensForEngines})`); } - // Build system prompt array — stable part is cached, variable model-size notice is not - // (keeping them separate prevents the model-size notice from busting the cache on the stable prefix) const systemBlocks = [ - { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral' } }, - ...(modelSizeNotice ? [{ type: 'text', text: modelSizeNotice }] : []) + { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral' } } ]; // Convert tool servers to Anthropic tool format (with conditional filtering) @@ -614,6 +603,8 @@ export class AgentOrchestrator { break; } + this.#logApiUsage('anthropic-manual', response.usage); + // Process response continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); @@ -1031,31 +1022,18 @@ export class AgentOrchestrator { const currentModel = session?.clientModel; let modelTokenCount = 0; - let modelSizeNotice = null; if (currentModel) { const modelJson = JSON.stringify(currentModel, null, 2); modelTokenCount = encode(modelJson).length; this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; - logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - - if (modelExceedsLimit) { - const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; - modelSizeNotice = `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; - } + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelTokenCount > config.agentMaxTokensForEngines})`); } - const fullSystemPrompt = modelSizeNotice ? systemPrompt + modelSizeNotice : systemPrompt; const toolDeclarations = this.convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); - const geminiConfig = { - systemInstruction: fullSystemPrompt, - thinkingConfig: config.agentGeminiThinking - }; - if (toolDeclarations.length > 0) { - geminiConfig.tools = [{ functionDeclarations: toolDeclarations }]; - } + // Build or reuse per-session Gemini context cache (system prompt + tools) + const geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); let continueLoop = true; let completedNaturally = false; @@ -1076,6 +1054,8 @@ export class AgentOrchestrator { if (this.stopRequested) break; + this.#logApiUsage('gemini-manual', response.usageMetadata); + continueLoop = await this.processGeminiManualResponse(response, messages, builtInTools, dynamicTools); if (!continueLoop) completedNaturally = true; @@ -1197,13 +1177,7 @@ export class AgentOrchestrator { const modelJson = JSON.stringify(currentModel, null, 2); modelTokenCount = encode(modelJson).length; this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; - logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - - if (modelExceedsLimit) { - const generateTool = mode === 'sfd' ? 'generate_quantitative_model' : 'generate_qualitative_model'; - systemPrompt += `\n\n**IMPORTANT: Model Size Notice**\n\nThe current model has exceeded ${config.agentMaxTokensForEngines} tokens (${modelTokenCount} tokens). The \`${generateTool}\` tool has been disabled. Call \`get_current_model\` to load the model to disk, then use \`read_model_section\` and \`edit_model_section\` to inspect and modify it.`; - } + logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelTokenCount > config.agentMaxTokensForEngines})`); } this.abortController = new AbortController(); @@ -1325,6 +1299,10 @@ export class AgentOrchestrator { throw new Error(event.errorMessage || `ADK error: ${event.errorCode}`); } + if (event.usageMetadata) { + this.#logApiUsage('gemini-adk', event.usageMetadata); + } + const content = event.content; if (!content?.parts) return; @@ -1479,9 +1457,83 @@ export class AgentOrchestrator { this.abortController?.abort(); } + async #getGeminiManualConfig(systemPrompt, toolDeclarations) { + // Build a cache key from the stable inputs — recreate if they change (e.g. tool set changes on model resize) + const cacheKey = systemPrompt + JSON.stringify(toolDeclarations.map(t => t.name)); + + if (this.#geminiManualCacheName && this.#geminiManualCacheKey === cacheKey) { + logger.log(`[gemini-cache] reusing cache ${this.#geminiManualCacheName}`); + return { + cachedContent: this.#geminiManualCacheName, + thinkingConfig: config.agentGeminiThinking + }; + } + + // Delete the old cache if the key changed + if (this.#geminiManualCacheName) { + try { + await this.gemini.caches.delete({ name: this.#geminiManualCacheName }); + logger.log(`[gemini-cache] deleted stale cache ${this.#geminiManualCacheName}`); + } catch (e) { + logger.warn('[gemini-cache] failed to delete stale cache:', e.message); + } + this.#geminiManualCacheName = null; + this.#geminiManualCacheKey = null; + } + + try { + const cacheConfig = { + ttl: '3600s', + systemInstruction: systemPrompt + }; + if (toolDeclarations.length > 0) { + cacheConfig.tools = [{ functionDeclarations: toolDeclarations }]; + } + + const cache = await this.gemini.caches.create({ + model: config.agentGeminiModel, + config: cacheConfig + }); + + this.#geminiManualCacheName = cache.name; + this.#geminiManualCacheKey = cacheKey; + logger.log(`[gemini-cache] created cache ${cache.name}`); + + return { + cachedContent: cache.name, + thinkingConfig: config.agentGeminiThinking + }; + } catch (e) { + logger.warn('[gemini-cache] failed to create cache, falling back to uncached:', e.message); + const cfg = { + systemInstruction: systemPrompt, + thinkingConfig: config.agentGeminiThinking + }; + if (toolDeclarations.length > 0) { + cfg.tools = [{ functionDeclarations: toolDeclarations }]; + } + return cfg; + } + } + + #logApiUsage(method, usage) { + if (!usage) return; + if (method === 'anthropic-manual' || method === 'anthropic-sdk') { + const { input_tokens = 0, output_tokens = 0, cache_creation_input_tokens = 0, cache_read_input_tokens = 0 } = usage; + logger.log(`[usage:${method}] input=${input_tokens} output=${output_tokens} cache_write=${cache_creation_input_tokens} cache_read=${cache_read_input_tokens}`); + } else { + const { promptTokenCount = 0, candidatesTokenCount = 0, cachedContentTokenCount = 0, thoughtsTokenCount = 0 } = usage; + logger.log(`[usage:${method}] prompt=${promptTokenCount} output=${candidatesTokenCount} cached=${cachedContentTokenCount} thoughts=${thoughtsTokenCount}`); + } + } + destroy() { logger.log(`AgentOrchestrator destroyed for session ${this.sessionId}`); + if (this.#geminiManualCacheName && this.gemini) { + this.gemini.caches.delete({ name: this.#geminiManualCacheName }).catch(() => {}); + } + // Clear any references this.sessionManager = null; this.sendToClient = null; From cb6022671aac566155d43d391f12b0db33839f5f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 10:13:34 -0400 Subject: [PATCH 118/226] Gut the system prompts --- agent/AgentOrchestrator.js | 111 ++++++------- agent/config/merlin.md | 37 ++--- agent/config/socrates.md | 155 ++++++------------- agent/utilities/AgentConfigurationManager.js | 44 +----- config.js | 2 +- 5 files changed, 109 insertions(+), 240 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 26060853..1431a333 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -568,7 +568,7 @@ export class AgentOrchestrator { } const systemBlocks = [ - { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral' } } + { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral', ttl: '1h' } } ]; // Convert tool servers to Anthropic tool format (with conditional filtering) @@ -853,41 +853,30 @@ export class AgentOrchestrator { * Used when injecting prior agent context into an SDK session. */ async buildPriorContextTextAnthropic(history) { - const PRIOR_CONTEXT_TOKEN_LIMIT = 10_000; - const tokenCount = countTokens(JSON.stringify(history)); - - if (tokenCount > PRIOR_CONTEXT_TOKEN_LIMIT) { - logger.log(`Prior agent context too large (${tokenCount} tokens), summarizing before SDK injection`); - try { - const conversationText = history.map((msg) => { - if (msg.role === 'user') { - return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; - } else if (msg.role === 'assistant') { - if (Array.isArray(msg.content)) { - const textContent = msg.content.filter(b => b.type === 'text').map(b => b.text).join('\n'); - return textContent ? `Assistant: ${textContent}` : ''; - } - return `Assistant: ${msg.content}`; + try { + const conversationText = history.map((msg) => { + if (msg.role === 'user') { + return `User: ${typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content)}`; + } else if (msg.role === 'assistant') { + if (Array.isArray(msg.content)) { + const textContent = msg.content.filter(b => b.type === 'text').map(b => b.text).join('\n'); + return textContent ? `Assistant: ${textContent}` : ''; } - return ''; - }).filter(line => line).join('\n\n'); - - const response = await this.llm.createChatCompletion([{ - role: 'user', - content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` - }], config.agentGeminiSummaryModel); - return response.content; - } catch (error) { - logger.error('Error summarizing prior context:', error); - return '[Prior conversation condensed due to size]'; - } + return `Assistant: ${msg.content}`; + } + return ''; + }).filter(line => line).join('\n\n'); + + logger.log(`Summarizing prior agent context (${history.length} messages) before injection`); + const response = await this.llm.createChatCompletion([{ + role: 'user', + content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` + }], config.agentAnthropicSummaryModel); + return response.content; + } catch (error) { + logger.error('Error summarizing prior context:', error); + return '[Prior conversation condensed due to size]'; } - - return history.map(msg => { - const role = msg.role === 'user' ? 'User' : 'Assistant'; - const text = typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content); - return `${role}: ${text}`; - }).join('\n\n'); } /** @@ -989,7 +978,7 @@ export class AgentOrchestrator { // Cache all tool definitions up to the last one — stable within a session if (tools.length > 0) { - tools[tools.length - 1] = { ...tools[tools.length - 1], cache_control: { type: 'ephemeral' } }; + tools[tools.length - 1] = { ...tools[tools.length - 1], cache_control: { type: 'ephemeral', ttl: '1h' } }; } return tools; @@ -1400,39 +1389,27 @@ export class AgentOrchestrator { } async buildPriorContextTextGemini(history) { - const PRIOR_CONTEXT_TOKEN_LIMIT = 10_000; - const tokenCount = encode(JSON.stringify(history)).length; - - if (tokenCount > PRIOR_CONTEXT_TOKEN_LIMIT) { - logger.log(`Prior agent context too large (${tokenCount} tokens), summarizing before ADK injection`); - try { - const conversationText = history.map((msg) => { - const role = msg.role === 'user' ? 'User' : 'Assistant'; - if (!Array.isArray(msg.parts)) return ''; - const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); - return text ? `${role}: ${text}` : ''; - }).filter(line => line).join('\n\n'); - - const response = await this.gemini.models.generateContent({ - model: config.agentGeminiSummaryModel, - contents: [{ - role: 'user', - parts: [{ text: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] - }] - }); - return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; - } catch (error) { - logger.error('Error summarizing prior context:', error); - return '[Prior conversation condensed due to size]'; - } + try { + const conversationText = history.map((msg) => { + const role = msg.role === 'user' ? 'User' : 'Assistant'; + if (!Array.isArray(msg.parts)) return ''; + const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); + return text ? `${role}: ${text}` : ''; + }).filter(line => line).join('\n\n'); + + logger.log(`Summarizing prior agent context (${history.length} messages) before injection`); + const response = await this.gemini.models.generateContent({ + model: config.agentGeminiSummaryModel, + contents: [{ + role: 'user', + parts: [{ text: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] + }] + }); + return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; + } catch (error) { + logger.error('Error summarizing prior context:', error); + return '[Prior conversation condensed due to size]'; } - - return history.map(msg => { - const role = msg.role === 'user' ? 'User' : 'Assistant'; - if (!Array.isArray(msg.parts)) return ''; - const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); - return text ? `${role}: ${text}` : ''; - }).filter(line => line).join('\n\n'); } /** diff --git a/agent/config/merlin.md b/agent/config/merlin.md index d0ae3b55..880d6dae 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -3,8 +3,8 @@ name: "Merlin" role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" -max_iterations: 100 -agent_mode: gemini-adk +max_iterations: 30 +agent_mode: claude-sdk supported_modes: - sfd - cld @@ -31,14 +31,7 @@ IMPORTANT RULES: 10. After building or significantly modifying a model, explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). Do not proceed to sensitivity analysis or optimization until the model has earned its credibility. ## Loops That Matter (LTM) -Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. - -Use LTM extensively to: -- Understand WHY models produce specific behaviors -- Identify which feedback loops are dominant at different times -- Validate that behavior comes from the right causal mechanisms -- Critique and improve model structure -- Design effective policies that leverage or counteract key feedback loops +LTM (Loops That Matter) is a feedback-loop dominance analysis technique that ranks loops by instantaneous impact, showing how dominance shifts over time. Use it extensively via get_feedback_information → discuss_model_with_seldon to understand WHY behavior occurs, validate causal mechanisms, and design effective policies. ## Modeling Workflow @@ -79,13 +72,9 @@ Enforce strict validation: ## Visualization Guidelines -Suggest visualizations rather than creating them automatically: -- After a simulation, offer to plot key variables — don't create charts unless the user asks or confirms -- Mention what would be useful to visualize and why, then wait for the user to proceed -- Always plot reference modes alongside simulation output -- Show phase portraits for non-linear dynamics -- Display feedback loop dominance analysis -- Annotate key transition points and equilibria +**NEVER create visualizations automatically.** Only create charts, plots, or feedback dominance analyses when the user explicitly requests them or confirms after a suggestion. +- After a simulation, briefly mention what would be informative to visualize, then STOP and wait for the user to ask +- Do NOT auto-run get_feedback_information or create_visualization after building or running a model ## Tool Usage Policies @@ -144,16 +133,18 @@ Suggest visualizations rather than creating them automatically: ### On New Model Request 1. Ask only critical questions needed (time horizon, key variables, problem statement) 2. Generate the model (generate_qualitative_model, generate_quantitative_model) -3. Check dimensional consistency, conservation laws, boundary adequacy -4. Suggest extreme conditions tests -5. Offer to critique and explain feedback structure (using Seldon) — wait for user confirmation before doing so +3. **VALIDATE** — do all of the following before continuing: + a. Call get_current_model, fix all errors and warnings + b. *(SFD only)* Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Are graphical functions normalized? Do equations have embedded constants? + c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). +4. STOP — ask the user what they want to do next. Do NOT auto-visualize or auto-analyze feedback. ### On Modification Request 1. Inspect the current model (get_current_model) 2. Describe why changes are needed 3. Apply the changes (update_model) -4. Verify changes maintain structural and dimensional consistency (get_current_model) -5. Suggest specific tests to validate modifications +4. **VALIDATE** — same as step 3 above: fix errors/warnings, check structural integrity, run and verify behavior for SFDs +5. STOP — ask the user what they want to do next. ### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) 1. Call `get_run_info` to check whether existing run data is available @@ -164,7 +155,7 @@ Suggest visualizations rather than creating them automatically: ### On Simulation Request (user explicitly asks to run, or model was just modified) 1. Check all parameters defined, equations valid, units consistent 2. Run the simulation (run_model) -3. Offer to create a visualization and/or explain the feedback causes for behavior using Seldon — wait for user confirmation before doing either +3. Report the run completed. Ask what the user wants to do next — do NOT automatically create visualizations or run feedback analysis. ## Communication Style **Style:** direct, technical, efficient diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 5f697af5..aa0d8a12 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -32,88 +32,33 @@ IMPORTANT RULES: 9. CRITICAL: Use LTM to understand model structure by asking for feedback information! 10. NEVER rush to build - spend time exploring the problem space with questions 11. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. -12. CRITICAL VISUALIZATION RULE: Create visualizations after building or updating models - - First call get_variable_data — it returns a filePath - - Pass that filePath to create_visualization(filePath: ) +12. CRITICAL VISUALIZATION RULE: NEVER create visualizations or run feedback analysis automatically. + - Only create visualizations or call get_feedback_information when the user explicitly requests them or confirms after you suggest them + - When creating a visualization: first call get_variable_data (returns a filePath), then pass that filePath to create_visualization - NEVER call create_visualization without a filePath from get_variable_data or get_feedback_information - - Users learn better when they can SEE the model behavior - - Visualizations make abstract feedback loops concrete and observable -13. After building or significantly modifying a model, help the user explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). +13. After building or significantly modifying a model, ask the user what they would like to do next — do NOT auto-run, auto-visualize, or auto-analyze feedback. ## Loops That Matter (LTM) -Loops That Matter (LTM) is a feedback‑loop dominance analysis technique from system dynamics used to identify which feedback loops are actually driving system behavior at a given time. Rather than cataloging all loops in a model, LTM ranks loops by their instantaneous impact on change, showing how dominance shifts as system structure, delays, and nonlinearities interact. - -Use LTM to help users: -- Understand WHY their models produce specific behaviors -- See which feedback loops are dominant at different times -- Learn that structure creates behavior through feedback mechanisms -- Develop intuition about how systems change over time -- Connect abstract loop concepts to concrete observable patterns +LTM (Loops That Matter) ranks feedback loops by instantaneous dominance, showing how driving loops shift over time. Use it via get_feedback_information → discuss_model_with_seldon to help users understand WHY their model produces specific behaviors and build intuition about feedback-driven dynamics. ## Modeling Workflow -When helping users build models, follow this SLOW, DELIBERATE process: - -1. UNDERSTAND THE PROBLEM DEEPLY: - Return text asking 3-5 questions, then STOP and wait for user response: - - "What specific problem or question are you trying to explore?" - - "What behavior over time concerns you or interests you?" - - "What time horizon are we considering - days, months, years?" - - "Who or what are the key actors or entities in this system?" - - "What is your goal in building this model?" - DO NOT proceed until user answers! - -2. EXPLORE THE SYSTEM BOUNDARY: - Return text asking 2-3 questions, then STOP and wait for user response: - - "What should be inside our model versus outside?" - - "What factors do you think are most important to include?" - - "What can we safely leave out for now?" - DO NOT proceed until user answers! - -3. IDENTIFY KEY VARIABLES: - Return text asking 3-4 questions, then STOP and wait for user response: - - "What are the key things that change over time in this system?" - - "What accumulates? (These become stocks)" - - "What flows in or out?" - - "What factors influence these flows?" - DO NOT proceed until user answers! - -4. DISCUSS FEEDBACK STRUCTURE: - Return text asking 2-3 questions, then STOP and wait for user response: - - "Can you trace any loops where things feed back on themselves?" - - "Are there any reinforcing cycles that lead to growth or decline?" - - "Are there any balancing forces that resist change?" - DO NOT proceed until user answers! - -5. ASK ABOUT COMPLEXITY LEVEL (REQUIRED): - Return text asking about complexity, then STOP and wait for user response: - - "How complex should this model be?" - - Simple (5-10 variables, 1-2 stocks) - - Moderate (11-20 variables, 2-4 stocks) - - Complex (More then 20 variables, more then 5 stocks) - - Or would you prefer to specify? - DO NOT proceed until user answers! - -6. ONLY THEN BUILD: After you have answers to questions above, create a minimal viable model - - Focus on what they specified - - Keep equations simple and explainable - -7. VISUALIZE AND BUILD UNDERSTANDING: Run simulations and show visualizations - - Usually run simulation after building/updating models - - Usually create visualization using get_variable_data and create_visualization - - Show the behavior graphically to support learning - - Ask: "What do you notice about this behavior?" - - Ask: "Does this match what you expected?" - - Ask: "What might be causing this pattern?" - - Use visualizations to ground the discussion in observable behavior - -8. ITERATE THOUGHTFULLY: Only add complexity when needed - - "Should we explore this aspect in more detail?" - - "What other factors might be important?" - - After changes, generally visualize again to show impact - -REMEMBER: The questioning and dialogue (steps 1-5) should take significantly longer than the building (step 6). -CRITICAL: Always visualize model behavior after creation or updates - users need to SEE what the model does! +Follow this SLOW, DELIBERATE process — each step ends with a STOP until the user responds: + +1. **UNDERSTAND THE PROBLEM** (ask 3-5 questions): What problem? What behavior over time? What time horizon? Who are the key actors? What is their goal? +2. **EXPLORE SYSTEM BOUNDARY** (ask 2-3 questions): What is inside vs. outside? What factors matter most? What can be safely left out? +3. **IDENTIFY KEY VARIABLES** (ask 3-4 questions): What changes over time? What accumulates (stocks)? What flows? What drives flows? +4. **DISCUSS FEEDBACK STRUCTURE** (ask 2-3 questions): Any reinforcing or balancing loops? Anything that feeds back on itself? +5. **ASK ABOUT COMPLEXITY** (required): Simple (5-10 vars, 1-2 stocks) / Moderate (11-20 vars, 2-4 stocks) / Complex (20+ vars, 5+ stocks)? +6. **BUILD**: Only after all of the above — create a minimal viable model, simple equations. Automatically run the model, and get variable data, then fix any issues you immediately see. +7. **AFTER BUILDING, ASK THE USER** what they would like to do next — offer these options: + - Get an explanation of the model's feedback structure (call get_feedback_information → discuss_with_mentor) + - See the model's behavior (create_visualization) + - Iterate further on the model structure + Do NOT automatically visualize, or explain — wait for the user to choose. +8. **ITERATE**: Add complexity only when the user asks; after each change, ask again what they would like to do next (same options as step 7). + +The dialogue (steps 1-5) should take significantly longer than building (step 6). ## Modification Workflow @@ -192,7 +137,7 @@ Focus on educational validation: **When to use:** For cld models and conceptual exploration ### create_visualization *(sfd only)* -**When to use:** After every simulation and model update to support learning - show visualizations to help users understand behavior +**When to use:** Only when the user explicitly requests a visualization or confirms after a suggestion — never automatically after simulations or model updates ### generate_documentation *(sfd + cld)* **When to use:** Anytime the user asks the model to be documented. @@ -205,41 +150,31 @@ Focus on educational validation: ## Action Sequences ### On New Model Request -1. Ask about the problem, system boundaries, and key variables (discuss_with_mentor) -2. CRITICAL: Ask user about desired model complexity - simple (5-10 vars, 1-2 stocks), moderate (11-20 vars, 2-4 stocks), or let them specify (discuss_with_mentor) -3. Help user think through causal relationships and feedback loops (discuss_with_mentor) -4. Generate the model (generate_qualitative_model, generate_quantitative_model) -5. Gently point out potential issues and ask for user's assessment (discuss_with_mentor) -6. Ask questions about the generated structure to build understanding (discuss_with_mentor) -7. Ask user what they think of the model before proceeding -8. Run the model with default parameters to show initial behavior (run_model) -9. Call get_variable_data, then create_visualization -10. Call get_feedback_information, then help user understand what they're seeing (discuss_model_with_seldon) +1. Follow the Modeling Workflow (steps 1-6 above) — ask, explore, build +2. **VALIDATE** — do all of the following before continuing: + a. Call get_current_model, fix all errors and warnings + b. *(SFD only)* Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Is safe division (//) used wherever a denominator can reach zero? + c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). +3. STOP — ask the user what they want next: explanation (get_feedback_information → discuss_with_mentor), visualization (get_variable_data → create_visualization), or more iteration +4. Execute only what the user selects; offer the other options afterward ### On Modification Request -1. Inspect the current model (get_current_model) -2. Ask what they want to change and why -3. Guide thinking about consequences of the change -4. Apply the changes (update_model) -5. Ask how the user thinks the change will affect behavior -6. Run simulation to show updated model behavior (run_model) -7. Call get_variable_data, then create_visualization -8. Call get_feedback_information, then help user understand how changes affected behavior (discuss_model_with_seldon) - -### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) -1. Call `get_run_info` to check whether existing run data is available -2. If usable data exists, call `get_variable_data` then `create_visualization` — no need to run the model -3. If no suitable data exists, run the simulation first (run_model), then call `get_variable_data` and `create_visualization` -4. Call `get_feedback_information`, then use Seldon to understand WHY the model produced this behavior (discuss_model_with_seldon) -5. Ask questions to help user understand causal mechanisms and feedback dynamics - -### On Simulation Request (user explicitly asks to run, or model was just modified) -1. Run the simulation (run_model) -2. Call `get_variable_data` — note the returned filePath -3. Call `create_visualization(filePath: )` -4. Call `get_feedback_information`, then use Seldon to understand WHY (discuss_model_with_seldon) -5. Ask questions to help user understand causal mechanisms and feedback dynamics -6. Help user connect behavior patterns to feedback loop dominance +1. Inspect current model (get_current_model), ask what they want to change and why +2. Guide thinking about consequences; apply changes (update_model) +3. **VALIDATE** — do all of the following before continuing: + a. Call get_current_model, fix all errors and warnings + b. Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Is safe division (//) used wherever a denominator can reach zero? Are XMILE function names correct (SMTH1, DELAY1, etc.)? + c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). +4. STOP — ask what they want to do next: explanation, visualization, or more iteration (same options as step 7 of Modeling Workflow) + +### On Plot / Visualization Request +1. Check for existing run data (get_run_info); if present, use it — skip run_model +2. Otherwise run_model first, then get_variable_data → create_visualization +3. After showing the visualization, ask if the user wants to understand the causal mechanisms (get_feedback_information → discuss_model_with_seldon) + +### On Simulation Request +1. run_model to validate the model +2. Ask if the user wants a visualization (create_visualization) or feedback explanation (get_feedback_information → discuss_model_with_seldon) — do NOT call either automatically ## Communication Style **Style:** direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance. diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 9ada1a54..3ef67de3 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -74,7 +74,7 @@ All model changes MUST go through the designated model tools (generate_quantitat Direct file edits bypass validation, client synchronization, and session state - they will corrupt the model. ## CRITICAL: Automatic Model Validation -After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model), you MUST: +After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model, edit_model_section), you MUST: 1. Immediately use get_current_model to retrieve the updated model 2. Check that returned model for errors and warnings 3. If ERRORS are present: You MUST fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. @@ -82,48 +82,14 @@ After ANY tool use that modifies the model (generate_quantitative_model, generat 5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed. ## CRITICAL: Feedback Loop Analysis and Model Understanding -Make HEAVY use of any tools that provide feedback loop information (such as loop analysis, causal structure analysis, or behavioral mode detection). +**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** The model must be run first; these tools require it and will hallucinate without it. -**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** -The model must be run for feedback data to be available. These tools require it. Calling them without it produces hallucinated loop analysis. +**ABSOLUTE RULE: NEVER mention, name, describe, or reference any specific feedback loop unless it was returned by get_feedback_information in the current session.** Do not infer loops from variable names, equations, or SD knowledge. If you have not called get_feedback_information, you have NO knowledge of the loops — treat them as completely unknown. Call it immediately when a user asks about loops. -**ABSOLUTE RULE: You MUST NEVER mention, name, describe, or reference any specific feedback loop to the user unless that loop was returned by get_feedback_information in the current session.** - -This means: -- NEVER infer loop names or identities from variable names, equation structure, or general SD knowledge -- NEVER say things like "there is likely a reinforcing loop between X and Y" — that is fabrication -- NEVER describe loop polarity, dominance, or behavior without data from get_feedback_information -- NEVER reuse loop names or descriptions from earlier in the conversation if get_feedback_information has not been called for the current model state -- If you have not called get_feedback_information, you have NO knowledge of the feedback loops — treat them as completely unknown - -If a user asks about feedback loops and you have not called get_feedback_information: call it immediately. Do not speculate while you wait. Do not describe what you "expect" the loops to look like. - -When feedback loop information is available: -1. Use it to deeply understand WHY the model produces its observed behavior -2. Identify which feedback loops are dominant and how they interact -3. Discuss the feedback structure with Seldon (via discuss_model_with_seldon) to: - - Critique the current model structure - - Understand causal mechanisms driving behavior - - Identify missing feedback loops - - Improve model formulation and structure -4. If the user requests it, you should use loop insights to suggest policies or structural changes that will alter model behavior -5. Explain to users how feedback loops create the patterns they observe in simulation results - -Feedback loops are the heart of system dynamics - understanding them is essential for model improvement and policy design. +When feedback data is available use discuss_model_with_seldon to explain model behavior to users. ## Using Seldon for Model Planning and Critique -You have access to Seldon, an expert system dynamics mentor, through the discuss_model_with_seldon tool. -Use Seldon extensively to help you: -- Develop comprehensive plans for building complex models -- Validate your modeling approach before implementation -- Get guidance on model structure, variable relationships, and feedback loops -- Critique and improve existing models using feedback loop analysis -- Understand why models produce specific behaviors (leverage loop information) -- Generate policy recommendations and structural changes to achieve desired behaviors -- Review simulation results and their relationship to underlying causal structure - -Consider consulting Seldon when facing complex modeling decisions or when you need expert guidance on system dynamics best practices. -ALWAYS share feedback loop information with Seldon in all of its forms when discussing model behavior or improvements. +Use discuss_model_with_seldon to critique model structure, validate approaches, understand causal mechanisms, and generate policy recommendations. Consult Seldon when facing complex modeling decisions. Always share feedback loop information with Seldon in all its forms. ## CRITICAL: Unknown Run References If the user references a run by name or ID that you have not seen in this session, call get_run_info before doing anything else. Do not assume the run does not exist and do not ask the user to clarify — check first. diff --git a/config.js b/config.js index 7602ec55..9111b388 100644 --- a/config.js +++ b/config.js @@ -7,7 +7,7 @@ const config = { "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "agentMaxTokensForEngines": 50_000, // Maximum tokens before switching to file-based editing - "agentMaxContextTokens": 50_000, // Maximum tokens for conversation history sent to Claude API + "agentMaxContextTokens": 32_000, // Maximum tokens for conversation history sent to Claude API "agentTargetedEditingMinimum": 5_000, //Above this size, models can be edited without quantitative/qualitative engine "agentAnthropicModel": 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models From 98470319372e58a46174f5c63c806c0ea1b53c6c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 10:54:07 -0400 Subject: [PATCH 119/226] stop lockup on agent switch -- move both back to anthropic --- agent/AgentOrchestrator.js | 50 ++++++++++++++++++++++++++++-- agent/AgentWorker.js | 11 +++++++ agent/WebSocket.js | 46 +++++++++++++++++++++++++-- agent/WorkerSpawner.js | 6 +++- agent/config/merlin.md | 2 +- agent/config/socrates.md | 2 +- agent/tools/builtin/toolHelpers.js | 12 +++++-- app.js | 18 +++++------ 8 files changed, 128 insertions(+), 19 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 1431a333..1200aaf0 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -20,6 +20,37 @@ import config from '../config.js'; import { LLMWrapper } from '../utilities/LLMWrapper.js'; import { sanitizeSchemaForGemini } from './tools/builtin/toolHelpers.js'; +// Normalize a single message to Gemini format {role:'user'|'model', parts:[{text}]}. +// Handles Anthropic-format messages ({role, content}) that arrive when switching +// from an Anthropic-mode agent or from client-provided historical messages. +function toGeminiMessage(msg) { + if (Array.isArray(msg.parts)) { + const role = msg.role === 'assistant' ? 'model' : msg.role; + return role === msg.role ? msg : { ...msg, role }; + } + const role = msg.role === 'assistant' ? 'model' : msg.role; + let text = ''; + if (typeof msg.content === 'string') { + text = msg.content; + } else if (Array.isArray(msg.content)) { + text = msg.content.filter(b => b.type === 'text').map(b => b.text || '').join('\n'); + } + return { role, parts: [{ text }] }; +} + +// Normalize a single message to Anthropic format {role:'user'|'assistant', content}. +// Handles Gemini-format messages ({role:'user'|'model', parts}) that arrive when +// switching from a Gemini-mode agent. +function toAnthropicMessage(msg) { + if (!Array.isArray(msg.parts)) { + const role = msg.role === 'model' ? 'assistant' : msg.role; + return role === msg.role ? msg : { ...msg, role }; + } + const role = msg.role === 'model' ? 'assistant' : msg.role; + const text = msg.parts.filter(p => p.text).map(p => p.text).join('\n'); + return { role, content: text }; +} + /** * AgentOrchestrator * Manages the Claude Agent SDK lifecycle and message translation @@ -251,7 +282,7 @@ export class AgentOrchestrator { // Build prompt - inject prior agent's history as plain string prefix on agent switch let prompt = userMessage; if (previousAgentContext?.length > 0 && !this.sdkSessionId) { - const contextToReplay = previousAgentContext.slice(0, -1); + const contextToReplay = previousAgentContext.slice(0, -1).map(toAnthropicMessage); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent.`); const contextText = await this.buildPriorContextTextAnthropic(contextToReplay); @@ -554,6 +585,13 @@ export class AgentOrchestrator { // Use the live session context as the messages array — no local copy const messages = this.sessionManager.getConversationContext(this.sessionId); + // Normalize in-place: Gemini-format messages ({role:'user'|'model', parts}) from + // historical session load or a prior Gemini-mode agent switch must become + // Anthropic-format ({role:'user'|'assistant', content}) before the API call. + for (let i = 0; i < messages.length; i++) { + messages[i] = toAnthropicMessage(messages[i]); + } + // Check model token count and update session state const session = this.sessionManager.getSession(this.sessionId); const currentModel = session?.clientModel; @@ -1008,6 +1046,14 @@ export class AgentOrchestrator { await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); const messages = this.sessionManager.getConversationContext(this.sessionId); + + // Normalize in-place: Anthropic-format messages ({role,content}) from historical + // session load or a prior Anthropic-mode agent switch must become Gemini-format + // ({role:'user'|'model', parts}) before being sent to the Gemini API. + for (let i = 0; i < messages.length; i++) { + messages[i] = toGeminiMessage(messages[i]); + } + const currentModel = session?.clientModel; let modelTokenCount = 0; @@ -1229,7 +1275,7 @@ export class AgentOrchestrator { let prompt = userMessage; if (previousAgentContext?.length > 0 && !this.#adkHasPriorContext) { - const contextToReplay = previousAgentContext.slice(0, -1); + const contextToReplay = previousAgentContext.slice(0, -1).map(toGeminiMessage); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → ADK] Replaying ${contextToReplay.length} messages from prior agent.`); const contextText = await this.buildPriorContextTextGemini(contextToReplay); diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 44374b09..04941de3 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -186,6 +186,17 @@ class AgentWorker { } case 'shutdown': { + // Abort any in-flight conversation so the Agent SDK can clean up + // the claude CLI subprocess it may have spawned. + this.#orchestrator?.stopIteration(); + // Kill our entire process group. On the fork fallback (macOS/dev) + // this catches grandchild processes (claude CLI) that would otherwise + // be orphaned at 100% CPU. Inside a bwrap PID namespace this kills + // all container processes. Safe because the fork is spawned with + // detached:true (own process group) and bwrap runs in its own namespace. + if (process.platform !== 'win32') { + try { process.kill(-process.pid, 'SIGKILL'); } catch { /* already exiting */ } + } // Temp-dir cleanup is the host SessionManager's responsibility. // Inside the bwrap sandbox /session is a bind mount and can't be // rmdir'd; in the fork fallback the host also calls deleteSession. diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 1b98ae52..703d6106 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -90,6 +90,27 @@ function getAvailableAgents() { return { agents, defaults }; } +// Registry of all live worker processes so signal handlers can kill them all. +const liveWorkers = new Set(); + +// Kill a worker and all its descendant processes. +// +// IpcWorker (bwrap sandbox): w.pid is undefined. We kill only the bwrap process; +// the kernel kills everything in the PID namespace when its init (bwrap) exits. +// +// ChildProcess (fork fallback): w.pid is a number. The fork is spawned with +// detached:true so it leads its own process group. Killing the group +// (process.kill(-pid, signal)) also kills grandchildren like the claude CLI +// subprocess launched by the Agent SDK — without this they become orphans at +// 100% CPU after the worker is gone. +function killWorkerProcess(w, signal) { + if (typeof w.pid === 'number') { + process.kill(-w.pid, signal); + } else { + w.kill(signal); + } +} + export class WebSocketHandler { #ws; #sessionManager; @@ -98,6 +119,15 @@ export class WebSocketHandler { // True on the first chat message after a select_agent — tells worker to bridge context #pendingAgentSwitch = false; + // SIGKILL every live worker immediately. Called by process signal handlers so + // workers don't outlive the main process as orphans. + static killAll() { + for (const w of liveWorkers) { + try { killWorkerProcess(w, 'SIGKILL'); } catch { /* already dead */ } + } + liveWorkers.clear(); + } + constructor(ws, sessionManager) { this.#ws = ws; this.#sessionManager = sessionManager; @@ -254,8 +284,14 @@ export class WebSocketHandler { this.#killWorker(); } + // Guard: the WS may have closed during the async context fetch above. + // #onClose already killed the worker and deleted the session — bail out + // before spawning a new worker that would never be cleaned up. + if (this.#ws.readyState !== 1) return; + const tempDir = this.#sessionManager.getSessionTempDir(this.#sessionId); this.#worker = WorkerSpawner.spawn(this.#sessionId, tempDir); + liveWorkers.add(this.#worker); this.#setupWorkerRelay(this.#worker); const session = this.#sessionManager.getSession(this.#sessionId); @@ -371,7 +407,8 @@ export class WebSocketHandler { } // Give it a moment to exit cleanly; force-kill if it doesn't const w = this.#worker; - const t = setTimeout(() => w.kill('SIGKILL'), 2000); + liveWorkers.delete(w); + const t = setTimeout(() => { try { killWorkerProcess(w, 'SIGKILL'); } catch { /* already dead */ } }, 2000); this.#worker.once('exit', () => clearTimeout(t)); this.#worker = null; } @@ -386,7 +423,11 @@ export class WebSocketHandler { #setupWorkerRelay(w) { w.on('message', async (msg) => { if (msg.type === 'to_client') { - if (this.#ws.readyState === 1) this.#ws.send(JSON.stringify(msg.message)); + // Only forward if this is still the active worker; drop stale messages + // from a worker that has been replaced or is in its shutdown grace period. + if (this.#worker === w && this.#ws.readyState === 1) { + this.#ws.send(JSON.stringify(msg.message)); + } } else if (msg.type === 'worker_error') { logger.error(`[worker:${this.#sessionId}] ${msg.error}`); } @@ -400,6 +441,7 @@ export class WebSocketHandler { w.on('exit', (code, signal) => { logger.log(`[worker:${this.#sessionId}] exited (code=${code} signal=${signal})`); + liveWorkers.delete(w); if (this.#worker === w) this.#worker = null; }); } diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 2275b7ba..0d11b3ab 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -329,10 +329,14 @@ export class WorkerSpawner { ); } - // Unsandboxed fallback: plain fork, inherits full environment + // Unsandboxed fallback: plain fork. + // detached: true puts the worker in its own process group so that killing + // the group (process.kill(-pid, signal)) also kills grandchildren like the + // claude CLI subprocess spawned by the Agent SDK. return fork(WorkerSpawner.#WORKER_PATH, [], { env: { ...process.env, SESSION_ID: sessionId, SESSION_TEMP_DIR: sessionTempDir }, stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + detached: true, }); } } diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 880d6dae..549bdd92 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -4,7 +4,7 @@ role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 30 -agent_mode: claude-sdk +agent_mode: anthropic-sdk supported_modes: - sfd - cld diff --git a/agent/config/socrates.md b/agent/config/socrates.md index aa0d8a12..b0b1e9b7 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -4,7 +4,7 @@ role: "Coach" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" max_iterations: 20 -agent_mode: gemini-manual +agent_mode: anthropic-manual supported_modes: - sfd - cld diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index 60b63172..43d89796 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -20,6 +20,14 @@ export function tool({ name, description, inputSchema, execute }) { return sdkTool(name, description, inputSchema, execute); } +// Keys that are valid JSON Schema but not supported by the Gemini function-declaration schema. +const GEMINI_UNSUPPORTED_KEYS = new Set([ + '$schema', + 'additionalProperties', + 'exclusiveMinimum', // handled below for numeric form; boolean form is dropped + 'exclusiveMaximum', +]); + export function sanitizeSchemaForGemini(schema) { if (!schema || typeof schema !== 'object') return schema; if (Array.isArray(schema)) return schema.map(sanitizeSchemaForGemini); @@ -30,8 +38,8 @@ export function sanitizeSchemaForGemini(schema) { out.minimum = v; } else if (k === 'exclusiveMaximum' && typeof v === 'number') { out.maximum = v; - } else if (k === 'exclusiveMinimum' || k === 'exclusiveMaximum') { - // boolean form (JSON Schema draft 4) — drop it + } else if (GEMINI_UNSUPPORTED_KEYS.has(k)) { + // drop — Gemini rejects these fields } else { out[k] = sanitizeSchemaForGemini(v); } diff --git a/app.js b/app.js index 8bb5c36d..93c650b0 100644 --- a/app.js +++ b/app.js @@ -66,20 +66,18 @@ wss.on('connection', (ws) => { new WebSocketHandler(ws, sessionManager); }); -// Graceful shutdown -process.on('SIGTERM', () => { - logger.log('SIGTERM received, shutting down gracefully...'); +function shutdown(signal) { + logger.log(`${signal} received, shutting down gracefully...`); + // Kill all worker child processes first — ws.close() is async and process.exit() + // fires before #onClose can run #killWorker, so workers would otherwise be orphaned. + WebSocketHandler.killAll(); wss.clients.forEach(ws => ws.close(1000, 'Server shutting down')); sessionManager.shutdown(); process.exit(0); -}); +} -process.on('SIGINT', () => { - logger.log('SIGINT received, shutting down gracefully...'); - wss.clients.forEach(ws => ws.close(1000, 'Server shutting down')); - sessionManager.shutdown(); - process.exit(0); -}); +process.on('SIGTERM', () => shutdown('SIGTERM')); +process.on('SIGINT', () => shutdown('SIGINT')); // Start HTTP server server.listen(config.port, () => { From 9971ab37ba06739aba595a7b61bc1aa1066949d9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 11:16:53 -0400 Subject: [PATCH 120/226] fixed anthropic-manual loop --- agent/AgentOrchestrator.js | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 1200aaf0..abec89ab 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -267,7 +267,7 @@ export class AgentOrchestrator { allowedTools: allowedTools, permissionMode: 'bypassPermissions', thinking: config.agentAnthropicThinking, - effort: config.agentAnthropicEffort, + ...(config.agentAnthropicThinking?.type !== 'disabled' && { effort: config.agentAnthropicEffort }), compact: true // Enable automatic compaction }; @@ -625,13 +625,14 @@ export class AgentOrchestrator { try { // Call Claude API + const thinkingEnabled = config.agentAnthropicThinking?.type !== 'disabled'; const response = await this.anthropic.messages.create({ model: config.agentAnthropicModel, max_tokens: 8192, system: systemBlocks, messages: messages, thinking: config.agentAnthropicThinking, - effort: config.agentAnthropicEffort, + ...(thinkingEnabled && { effort: config.agentAnthropicEffort }), tools: tools.length > 0 ? tools : undefined }); From af465ba6ee0bc71b1b515e3557f2212fb3d208f6 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 5 May 2026 11:27:06 -0400 Subject: [PATCH 121/226] universal instructions --- agent/utilities/AgentConfigurationManager.js | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 3ef67de3..3ff81564 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -17,6 +17,8 @@ export class AgentConfigurationManager { ## CRITICAL: Text Generation - NEVER use emojis +## ABSOLUTE RULE: NEVER mention, name, describe, or reference any specific feedback loop unless it was returned by get_feedback_information in the current session.** Do not infer loops from variable names, equations, or SD knowledge. If you have not called get_feedback_information, you have NO knowledge of the loops — treat them as completely unknown. Call get_feedback_information immediately when a user asks about loops or to understand the model. + ## CRITICAL: Model Type Enforcement Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). The model type is set at session initialization and CANNOT be changed. @@ -41,6 +43,11 @@ NEVER switch between CLD and SFD during a session. - Use // for safe division (e.g., a // b) - this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero - Use XMILE builtin function names: SMTH1, SMTH3, DELAY1, DELAY3, etc. — NOT SMOOTH1, SMOOTH3, or other non-XMILE variants +## CRITICAL: Feedback Loop Analysis and Model Understanding +**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** The model must be run first; these tools require it and will hallucinate without it. + +- When feedback data is available use discuss_model_with_seldon to explain model behavior to users. + ## CRITICAL: Visualization Requests When a user requests a visualization: - ALWAYS use the current model as-is without any modifications @@ -81,13 +88,6 @@ After ANY tool use that modifies the model (generate_quantitative_model, generat 4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. 5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed. -## CRITICAL: Feedback Loop Analysis and Model Understanding -**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** The model must be run first; these tools require it and will hallucinate without it. - -**ABSOLUTE RULE: NEVER mention, name, describe, or reference any specific feedback loop unless it was returned by get_feedback_information in the current session.** Do not infer loops from variable names, equations, or SD knowledge. If you have not called get_feedback_information, you have NO knowledge of the loops — treat them as completely unknown. Call it immediately when a user asks about loops. - -When feedback data is available use discuss_model_with_seldon to explain model behavior to users. - ## Using Seldon for Model Planning and Critique Use discuss_model_with_seldon to critique model structure, validate approaches, understand causal mechanisms, and generate policy recommendations. Consult Seldon when facing complex modeling decisions. Always share feedback loop information with Seldon in all its forms. From 236751bc43c2c3f4e17fa36047567b33af014d94 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 06:56:02 -0400 Subject: [PATCH 122/226] don't treat max iterations hit as an error --- agent/AgentOrchestrator.js | 27 ++++++++++++++++++++------- 1 file changed, 20 insertions(+), 7 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index abec89ab..565681e7 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -212,6 +212,7 @@ export class AgentOrchestrator { async runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext = null) { // Create abort controller for stop iteration this.abortController = new AbortController(); + this.maxTurnsReached = false; const mode = this.sessionManager.getSession(this.sessionId)?.mode; @@ -301,13 +302,22 @@ export class AgentOrchestrator { await this.handleAnthropicSdkMessage(message); } - // Normal completion - logger.log(`Agent conversation completed successfully for session ${this.sessionId}`); - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'success', - 'Task completed successfully' - )); + // Normal completion (or max turns reached) + if (this.maxTurnsReached) { + logger.log(`Agent reached max iterations for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + `Reached maximum iterations (${maxIterations})` + )); + } else { + logger.log(`Agent conversation completed successfully for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'success', + 'Task completed successfully' + )); + } } catch (error) { if (error.name === 'AbortError' || this.stopRequested) { @@ -519,6 +529,9 @@ export class AgentOrchestrator { if (message.subtype === 'success') { this.#logApiUsage('anthropic-sdk', message.usage); logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); + } else if (message.subtype === 'error_max_turns') { + logger.log(`SDK conversation reached max iterations for session ${this.sessionId}`); + this.maxTurnsReached = true; } else if (message.subtype === 'error') { logger.error(`SDK conversation error for session ${this.sessionId}:`, message.error || message); } else if (message.subtype === 'tool_error') { From 6379f2d6b4f52f37ad7efe179fac6060b2d6d6ed Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 06:56:20 -0400 Subject: [PATCH 123/226] make the large model tools much more XMILE friendly... case insensitive and underscores --- agent/tools/builtin/largeModelTools.js | 54 ++- tests/agent/tools/largeModelTools.test.js | 406 ++++++++++++++++++++++ 2 files changed, 441 insertions(+), 19 deletions(-) create mode 100644 tests/agent/tools/largeModelTools.test.js diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 98a0eb4a..a9c5e6a9 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -62,6 +62,7 @@ Filtering: const modelContent = readFileSync(modelPath, 'utf-8'); const model = JSON.parse(modelContent); + const norm = s => s.toLowerCase().replace(/[ _]/g, '_'); const limit = filter?.limit || 500; let result = {}; @@ -73,34 +74,31 @@ Filtering: case 'variables': let variables = model.variables || []; - // Apply filters (case-insensitive) + // Apply filters (case-insensitive, spaces and underscores treated as equivalent) if (filter?.variableNames && filter.variableNames.length > 0) { - const lowerFilterNames = filter.variableNames.map(name => name.toLowerCase()); + const normFilterNames = filter.variableNames.map(name => norm(name)); variables = variables.filter(v => { - const lowerName = v.name.toLowerCase(); - if (lowerFilterNames.includes(lowerName)) { - return true; - } + if (normFilterNames.includes(norm(v.name))) return true; const baseName = v.name.includes('.') ? v.name.split('.').pop() : v.name; - return lowerFilterNames.includes(baseName.toLowerCase()); + return normFilterNames.includes(norm(baseName)); }); } if (filter?.variableType) { variables = variables.filter(v => v.type === filter.variableType); } if (filter?.moduleName) { - const modulePrefix = filter.moduleName.toLowerCase() + '.'; - variables = variables.filter(v => v.name.toLowerCase().startsWith(modulePrefix)); + const normModule = norm(filter.moduleName); + variables = variables.filter(v => norm(v.name).startsWith(normModule + '.')); } if (filter?.usedInEquation) { - const searchTerm = filter.usedInEquation.replace(/ /g, '_').toLowerCase(); + const searchTerm = norm(filter.usedInEquation); variables = variables.filter(v => { - if (v.equation && v.equation.toLowerCase().includes(searchTerm)) { + if (v.equation && norm(v.equation).includes(searchTerm)) { return true; } if (v.arrayEquations && Array.isArray(v.arrayEquations)) { return v.arrayEquations.some(ae => - ae.equation && ae.equation.toLowerCase().includes(searchTerm) + ae.equation && norm(ae.equation).includes(searchTerm) ); } return false; @@ -127,10 +125,12 @@ Filtering: let relationships = model.relationships || []; if (filter?.relationshipFrom) { - relationships = relationships.filter(r => r.from === filter.relationshipFrom); + const normFrom = norm(filter.relationshipFrom); + relationships = relationships.filter(r => norm(r.from) === normFrom); } if (filter?.relationshipTo) { - relationships = relationships.filter(r => r.to === filter.relationshipTo); + const normTo = norm(filter.relationshipTo); + relationships = relationships.filter(r => norm(r.to) === normTo); } const totalRels = relationships.length; @@ -148,7 +148,8 @@ Filtering: let modules = model.modules || []; if (filter?.moduleName) { - modules = modules.filter(m => m.name === filter.moduleName); + const normModule = norm(filter.moduleName); + modules = modules.filter(m => norm(m.name) === normModule); } result = { @@ -324,6 +325,10 @@ After editing, the model is validated and processed through the quantitative eng return createErrorResponse(errorMessage, error); }; + // Variable names are stored with spaces; equations use underscores. + // Normalize any underscore-style names the AI sends back to space-style. + const normName = n => typeof n === 'string' ? n.replace(/_/g, ' ') : n; + try { const session = sessionManager.getSession(sessionId); if (!session) { @@ -380,6 +385,7 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: For variables add operation, data must be an array of variable objects. Example: [{name: "var1", type: "stock", equation: "100"}]'); } const varsToAdd = data; + for (const v of varsToAdd) { if (v.name) v.name = normName(v.name); } const errors = []; for (let i = 0; i < varsToAdd.length; i++) { const v = varsToAdd[i]; @@ -402,7 +408,9 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: For variables update operation, data must be an array of variable objects. Example: [{name: "Population", equation: "2000"}]'); } for (const update of data) { - const varName = update.name; + const varName = normName(update.name); + update.name = varName; + if (update.newName) update.newName = normName(update.newName); if (!varName) { return handleError('Error: Must specify "name" field to update a variable'); } @@ -447,7 +455,8 @@ After editing, the model is validated and processed through the quantitative eng if (!Array.isArray(data)) { return handleError('Error: For variables remove operation, data must be an array of variable name strings. Example: ["var1", "var2"]'); } - model.variables = model.variables.filter(v => !data.includes(v.name)); + const normalizedRemoveNames = data.map(normName); + model.variables = model.variables.filter(v => !normalizedRemoveNames.includes(v.name)); } break; @@ -459,6 +468,8 @@ After editing, the model is validated and processed through the quantitative eng } const relsToAdd = data; for (const r of relsToAdd) { + r.from = normName(r.from); + r.to = normName(r.to); if (!r.from || !r.to) { return handleError('Error: Relationships must have "from" and "to" fields'); } @@ -468,6 +479,8 @@ After editing, the model is validated and processed through the quantitative eng } model.relationships.push(...relsToAdd); } else if (operation === 'update') { + data.from = normName(data.from); + data.to = normName(data.to); if (!data.from || !data.to) { return handleError('Error: Must specify "from" and "to" fields to update a relationship'); } @@ -482,7 +495,7 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: For relationships remove operation, data must be an array of {from, to} objects. Example: [{from: "var1", to: "var2"}]'); } model.relationships = model.relationships.filter(r => - !data.some(rem => rem.from === r.from && rem.to === r.to) + !data.some(rem => normName(rem.from) === r.from && normName(rem.to) === r.to) ); } break; @@ -494,6 +507,7 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: For modules update operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'); } for (const m of data) { + m.name = normName(m.name); if (!m.name || m.parentModule === undefined) { return handleError('Error: Modules must have "name" and "parentModule" fields'); } @@ -504,6 +518,7 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: For modules add operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'); } for (const m of data) { + m.name = normName(m.name); if (!m.name || m.parentModule === undefined) { return handleError('Error: Modules must have "name" and "parentModule" fields'); } @@ -513,7 +528,8 @@ After editing, the model is validated and processed through the quantitative eng if (!Array.isArray(data)) { return handleError('Error: For modules remove operation, data must be an array of module name strings. Example: ["Module1", "Module2"]'); } - model.modules = model.modules.filter(m => !data.includes(m.name)); + const normalizedRemoveModules = data.map(normName); + model.modules = model.modules.filter(m => !normalizedRemoveModules.includes(m.name)); } break; } diff --git a/tests/agent/tools/largeModelTools.test.js b/tests/agent/tools/largeModelTools.test.js new file mode 100644 index 00000000..bc673af3 --- /dev/null +++ b/tests/agent/tools/largeModelTools.test.js @@ -0,0 +1,406 @@ +import { createReadModelSectionTool, createEditModelSectionTool } from '../../../agent/tools/builtin/largeModelTools.js'; +import { mkdtempSync, writeFileSync, rmSync } from 'fs'; +import { join } from 'path'; +import { tmpdir } from 'os'; + +const SESSION_ID = 'test-session'; + +// Canonical storage format: variable names use spaces, equations use underscores +const BASE_MODEL = { + specs: { startTime: 0, stopTime: 100, dt: 1, timeUnits: 'Year' }, + variables: [ + { name: 'birth rate', type: 'variable', equation: 'Population * birth_fraction' }, + { name: 'death rate', type: 'variable', equation: 'Population * death_fraction' }, + { name: 'Population', type: 'stock', equation: '1000' }, + { name: 'Finance.net revenue', type: 'variable', equation: 'total_revenue - total_costs' }, + { name: 'Finance.total costs', type: 'variable', equation: 'fixed_costs + variable_costs' }, + ], + relationships: [ + { from: 'birth rate', to: 'Population', polarity: '+' }, + { from: 'death rate', to: 'Population', polarity: '-' }, + ], + modules: [ + { name: 'Finance', parentModule: null }, + { name: 'My Module', parentModule: null }, + ], +}; + +// ─── helpers ────────────────────────────────────────────────────────────────── + +function makeTempDir(model = BASE_MODEL) { + const dir = mkdtempSync(join(tmpdir(), 'sd-ai-test-')); + writeFileSync(join(dir, 'model.sdjson'), JSON.stringify(model)); + return dir; +} + +function makeReadTool(tempDir) { + const sessionManager = { getSessionTempDir: () => tempDir }; + return createReadModelSectionTool(sessionManager, SESSION_ID); +} + +function parseResult(result) { + expect(result.isError).toBeFalsy(); + return JSON.parse(result.content[0].text); +} + +// ─── createReadModelSectionTool ─────────────────────────────────────────────── + +describe('createReadModelSectionTool normalization', () => { + let tempDir; + + beforeEach(() => { tempDir = makeTempDir(); }); + afterEach(() => { rmSync(tempDir, { recursive: true, force: true }); }); + + describe('variableNames filter', () => { + it('matches underscore query against space-named variables', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { variableNames: ['birth_rate'] } }) + ); + expect(variables).toHaveLength(1); + expect(variables[0].name).toBe('birth_rate'); // read tool outputs underscores + }); + + it('matches space query against space-named variables', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { variableNames: ['birth rate'] } }) + ); + expect(variables).toHaveLength(1); + }); + + it('is case-insensitive', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { variableNames: ['BIRTH_RATE'] } }) + ); + expect(variables).toHaveLength(1); + }); + + it('matches base name (without module prefix) using underscores', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { variableNames: ['net_revenue'] } }) + ); + expect(variables).toHaveLength(1); + expect(variables[0].name).toBe('Finance.net_revenue'); + }); + }); + + describe('moduleName filter (variables section)', () => { + it('matches exact module name', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { moduleName: 'Finance' } }) + ); + expect(variables).toHaveLength(2); + }); + + it('is case-insensitive', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { moduleName: 'FINANCE' } }) + ); + expect(variables).toHaveLength(2); + }); + + it('treats underscores and spaces as equivalent', async () => { + const dir = makeTempDir({ + ...BASE_MODEL, + variables: [{ name: 'My Module.revenue', type: 'variable', equation: '100' }], + }); + const tool = makeReadTool(dir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { moduleName: 'My_Module' } }) + ); + expect(variables).toHaveLength(1); + rmSync(dir, { recursive: true, force: true }); + }); + }); + + describe('usedInEquation filter', () => { + it('finds variables when searching with spaces (equation uses underscores)', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { usedInEquation: 'birth fraction' } }) + ); + expect(variables).toHaveLength(1); + expect(variables[0].name).toBe('birth_rate'); + }); + + it('finds variables when searching with underscores', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { usedInEquation: 'birth_fraction' } }) + ); + expect(variables).toHaveLength(1); + }); + + it('is case-insensitive', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { usedInEquation: 'BIRTH_FRACTION' } }) + ); + expect(variables).toHaveLength(1); + }); + + it('searches arrayEquations with normalization', async () => { + const dir = makeTempDir({ + ...BASE_MODEL, + variables: [{ + name: 'arrayed var', type: 'variable', + arrayEquations: [{ index: '1', equation: 'base_rate * scale' }], + }], + }); + const tool = makeReadTool(dir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { usedInEquation: 'base rate' } }) + ); + expect(variables).toHaveLength(1); + rmSync(dir, { recursive: true, force: true }); + }); + }); + + describe('relationshipFrom filter', () => { + it('matches underscore query against space-stored from field', async () => { + const tool = makeReadTool(tempDir); + const { relationships } = parseResult( + await tool.handler({ section: 'relationships', filter: { relationshipFrom: 'birth_rate' } }) + ); + expect(relationships).toHaveLength(1); + expect(relationships[0].to).toBe('Population'); + }); + + it('is case-insensitive', async () => { + const tool = makeReadTool(tempDir); + const { relationships } = parseResult( + await tool.handler({ section: 'relationships', filter: { relationshipFrom: 'Birth Rate' } }) + ); + expect(relationships).toHaveLength(1); + }); + }); + + describe('relationshipTo filter', () => { + it('matches underscore query against space-stored to field', async () => { + const tool = makeReadTool(tempDir); + const { relationships } = parseResult( + await tool.handler({ section: 'relationships', filter: { relationshipTo: 'population' } }) + ); + expect(relationships).toHaveLength(2); + }); + }); + + describe('moduleName filter (modules section)', () => { + it('is case-insensitive', async () => { + const tool = makeReadTool(tempDir); + const { modules } = parseResult( + await tool.handler({ section: 'modules', filter: { moduleName: 'finance' } }) + ); + expect(modules).toHaveLength(1); + expect(modules[0].name).toBe('Finance'); + }); + + it('treats underscores and spaces as equivalent', async () => { + const tool = makeReadTool(tempDir); + const { modules } = parseResult( + await tool.handler({ section: 'modules', filter: { moduleName: 'My_Module' } }) + ); + expect(modules).toHaveLength(1); + expect(modules[0].name).toBe('My Module'); + }); + }); +}); + +// ─── createEditModelSectionTool ─────────────────────────────────────────────── + +describe('createEditModelSectionTool normalization', () => { + let tempDir; + let session; + + // sendToClient mock: captures the sent model and resolves the pending request + // via setTimeout so the promise set up after sendToClient can be resolved. + function makeSendToClient() { + let capturedModel = null; + const sendToClient = async (msg) => { + if (msg.type === 'update_model') { + capturedModel = JSON.parse(JSON.stringify(msg.modelData)); + setTimeout(() => { + const pending = session.pendingModelRequests?.get(msg.requestId); + if (pending) { + clearTimeout(pending.timeout); + pending.resolve('ok'); + } + }, 0); + } + }; + return { sendToClient, getModel: () => capturedModel }; + } + + function makeEditTool(sendToClient) { + session = { + mode: 'sfd', + context: { supportsArrays: false, supportsModules: true }, + pendingModelRequests: new Map(), + }; + const sessionManager = { + getSession: () => session, + getSessionTempDir: () => tempDir, + updateClientModel: () => {}, + }; + return createEditModelSectionTool(sessionManager, SESSION_ID, sendToClient); + } + + function resetModel(model) { + writeFileSync(join(tempDir, 'model.sdjson'), JSON.stringify(model)); + } + + beforeEach(() => { tempDir = mkdtempSync(join(tmpdir(), 'sd-ai-test-')); }); + afterEach(() => { rmSync(tempDir, { recursive: true, force: true }); }); + + describe('variables add', () => { + it('normalizes underscore names to spaces', async () => { + resetModel({ variables: [], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'add', data: [ + { name: 'birth_rate', type: 'variable', equation: '0.1' } + ]}); + + expect(getModel().variables[0].name).toBe('birth rate'); + }); + + it('normalizes module-qualified names', async () => { + resetModel({ variables: [], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'add', data: [ + { name: 'Finance.net_revenue', type: 'variable', equation: '100' } + ]}); + + expect(getModel().variables[0].name).toBe('Finance.net revenue'); + }); + }); + + describe('variables update', () => { + it('finds variable by underscore name', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'update', data: [ + { name: 'birth_rate', equation: '0.2' } + ]}); + + expect(getModel().variables[0].equation).toBe('0.2'); + }); + + it('normalizes newName to spaces', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'update', data: [ + { name: 'birth_rate', newName: 'birth_fraction' } + ]}); + + expect(getModel().variables[0].name).toBe('birth fraction'); + }); + }); + + describe('variables remove', () => { + it('removes variable found by underscore name', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'remove', data: ['birth_rate'] }); + + expect(getModel().variables).toHaveLength(0); + }); + }); + + describe('relationships add', () => { + it('normalizes from and to to spaces', async () => { + resetModel({ variables: [], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'add', data: [ + { from: 'birth_rate', to: 'Population', polarity: '+' } + ]}); + + expect(getModel().relationships[0].from).toBe('birth rate'); + expect(getModel().relationships[0].to).toBe('Population'); + }); + }); + + describe('relationships update', () => { + it('finds relationship by underscore from/to', async () => { + resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'update', data: { + from: 'birth_rate', to: 'Population', polarity: '-' + }}); + + expect(getModel().relationships[0].polarity).toBe('-'); + }); + }); + + describe('relationships remove', () => { + it('removes relationship found by underscore from/to', async () => { + resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'remove', data: [ + { from: 'birth_rate', to: 'Population' } + ]}); + + expect(getModel().relationships).toHaveLength(0); + }); + }); + + describe('modules add', () => { + it('normalizes module name underscores to spaces', async () => { + resetModel({ variables: [], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'modules', operation: 'add', data: [ + { name: 'My_Module', parentModule: null } + ]}); + + expect(getModel().modules[0].name).toBe('My Module'); + }); + }); + + describe('modules update', () => { + it('normalizes module names in replacement array', async () => { + resetModel({ variables: [], relationships: [], modules: [{ name: 'Finance', parentModule: null }] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'modules', operation: 'update', data: [ + { name: 'Finance_Sub', parentModule: 'Finance' } + ]}); + + expect(getModel().modules[0].name).toBe('Finance Sub'); + }); + }); + + describe('modules remove', () => { + it('removes module found by underscore name', async () => { + resetModel({ variables: [], relationships: [], modules: [{ name: 'My Module', parentModule: null }] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'modules', operation: 'remove', data: ['My_Module'] }); + + expect(getModel().modules).toHaveLength(0); + }); + }); +}); From 3cc40030e11924dc071f7fce71864b1149cbf64c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 08:01:28 -0400 Subject: [PATCH 124/226] agent collect token usage --- agent/AgentOrchestrator.js | 36 ++++++---- agent/AgentWorker.js | 2 +- agent/WebSocket.js | 3 +- agent/utilities/SessionManager.js | 11 ++- config.js | 1 + tests/agent/AgentWorker.test.js | 1 + tests/agent/SessionManager.test.js | 2 +- .../agent/SessionManagerSummarization.test.js | 6 +- tests/agent/WorkerSpawner.test.js | 2 +- utilities/TokenUsageReporter.js | 71 +++++++++++++++++++ 10 files changed, 113 insertions(+), 22 deletions(-) create mode 100644 utilities/TokenUsageReporter.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 565681e7..7b0fc7e4 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -18,6 +18,7 @@ import { import logger from '../utilities/logger.js'; import config from '../config.js'; import { LLMWrapper } from '../utilities/LLMWrapper.js'; +import TokenUsageReporter from '../utilities/TokenUsageReporter.js'; import { sanitizeSchemaForGemini } from './tools/builtin/toolHelpers.js'; // Normalize a single message to Gemini format {role:'user'|'model', parts:[{text}]}. @@ -96,6 +97,9 @@ export class AgentOrchestrator { this.llm = new LLMWrapper({ underlyingModel: config.agentAnthropicSummaryModel }); + const clientId = sessionManager.getSession(sessionId)?.clientId ?? null; + this.tokenReporter = new TokenUsageReporter(config.agentTokenReporterURL, clientId); + logger.log(`AgentOrchestrator initialized for session ${sessionId} (agent_mode: ${this.configManager.getAgentMode()})`); } @@ -920,11 +924,15 @@ export class AgentOrchestrator { }).filter(line => line).join('\n\n'); logger.log(`Summarizing prior agent context (${history.length} messages) before injection`); - const response = await this.llm.createChatCompletion([{ - role: 'user', - content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` - }], config.agentAnthropicSummaryModel); - return response.content; + const response = await this.anthropic.messages.create({ + model: config.agentAnthropicSummaryModel, + max_tokens: 1024, + messages: [{ role: 'user', content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] + }); + if (response.usage) { + this.#logApiUsage('anthropic-manual', response.usage, config.agentAnthropicSummaryModel); + } + return response.content[0].text; } catch (error) { logger.error('Error summarizing prior context:', error); return '[Prior conversation condensed due to size]'; @@ -1465,6 +1473,9 @@ export class AgentOrchestrator { parts: [{ text: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] }] }); + if (response.usageMetadata) { + this.#logApiUsage('gemini-manual', response.usageMetadata, config.agentGeminiSummaryModel); + } return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; } catch (error) { logger.error('Error summarizing prior context:', error); @@ -1553,15 +1564,14 @@ export class AgentOrchestrator { } } - #logApiUsage(method, usage) { + #logApiUsage(method, usage, model = null) { if (!usage) return; - if (method === 'anthropic-manual' || method === 'anthropic-sdk') { - const { input_tokens = 0, output_tokens = 0, cache_creation_input_tokens = 0, cache_read_input_tokens = 0 } = usage; - logger.log(`[usage:${method}] input=${input_tokens} output=${output_tokens} cache_write=${cache_creation_input_tokens} cache_read=${cache_read_input_tokens}`); - } else { - const { promptTokenCount = 0, candidatesTokenCount = 0, cachedContentTokenCount = 0, thoughtsTokenCount = 0 } = usage; - logger.log(`[usage:${method}] prompt=${promptTokenCount} output=${candidatesTokenCount} cached=${cachedContentTokenCount} thoughts=${thoughtsTokenCount}`); - } + const resolvedModel = model ?? ( + (method === 'anthropic-manual' || method === 'anthropic-sdk') + ? config.agentAnthropicModel + : config.agentGeminiModel + ); + this.tokenReporter.report({ method, model: resolvedModel, usage }).catch(() => {}); } destroy() { diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 04941de3..99167fa6 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -114,7 +114,7 @@ class AgentWorker { case 'initialize': { this.#sessionManager.createSessionWithId(SESSION_ID, this.#mockWs, SESSION_TEMP_DIR); - this.#sessionManager.initializeSession(SESSION_ID, msg.mode, msg.model, msg.tools, msg.context); + this.#sessionManager.initializeSession(SESSION_ID, msg.mode, msg.model, msg.tools, msg.context, msg.clientId); for (const h of (msg.conversationHistory || [])) { this.#sessionManager.addToConversationHistory(SESSION_ID, h); } diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 703d6106..5473f04f 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -219,7 +219,7 @@ export class WebSocketHandler { throw new Error('Invalid or missing mode. Must be "cld" or "sfd".'); } - this.#sessionManager.initializeSession(this.#sessionId, message.mode, message.model, message.tools, message.context); + this.#sessionManager.initializeSession(this.#sessionId, message.mode, message.model, message.tools, message.context, message.clientId); if (message.historicalMessages && message.historicalMessages.length > 0) { for (const histMsg of message.historicalMessages) { @@ -304,6 +304,7 @@ export class WebSocketHandler { model: session.clientModel, tools: session.clientTools, context: session.context, + clientId: session.clientId, conversationHistory, isAgentSwitch: isSwitching, }); diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 80a1b247..a47873b6 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -88,6 +88,7 @@ export class SessionManager { clientModel: null, clientTools: [], context: {}, + clientId: null, // Model token tracking modelTokenCount: 0, @@ -134,6 +135,7 @@ export class SessionManager { clientModel: null, clientTools: [], context: {}, + clientId: null, modelTokenCount: 0, pendingToolCalls: new Map(), conversationContext: [], @@ -158,7 +160,7 @@ export class SessionManager { /** * Initialize a session with model and tools */ - initializeSession(sessionId, mode, model, tools, context) { + initializeSession(sessionId, mode, model, tools, context, clientId) { const session = this.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); @@ -168,15 +170,20 @@ export class SessionManager { if (mode !== 'cld' && mode !== 'sfd') { throw new Error(`Invalid mode: ${mode}. Must be 'cld' or 'sfd'`); } - + // Set model type (can only be set once) if (session.mode && session.mode !== mode) { throw new Error(`Cannot change model type from ${session.mode} to ${mode} during session`); } session.mode = mode; + if (clientId == null) { + throw new Error('clientId is required'); + } + session.clientTools = tools || []; session.context = context || {}; + session.clientId = clientId; this.updateClientModel(sessionId, model); logger.log(`Session initialized: ${sessionId} with mode=${mode} and ${tools.length} client tools`); diff --git a/config.js b/config.js index 9111b388..ae5d5da3 100644 --- a/config.js +++ b/config.js @@ -4,6 +4,7 @@ import { ThinkingLevel } from "@google/genai"; const config = { "port": 3000, "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics + "agentTokenReporterURL": process.env.AGENT_TOKEN_REPORTER_URL || null, // Optional URL to POST agent LLM token usage "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "agentMaxTokensForEngines": 50_000, // Maximum tokens before switching to file-based editing diff --git a/tests/agent/AgentWorker.test.js b/tests/agent/AgentWorker.test.js index 73ba7e95..810439c1 100644 --- a/tests/agent/AgentWorker.test.js +++ b/tests/agent/AgentWorker.test.js @@ -76,6 +76,7 @@ function sendInit(worker, extras = {}) { context: {}, conversationHistory: [], isAgentSwitch: false, + clientId: 'test-client', ...extras, }); } diff --git a/tests/agent/SessionManager.test.js b/tests/agent/SessionManager.test.js index a91687f4..e44d1b7d 100644 --- a/tests/agent/SessionManager.test.js +++ b/tests/agent/SessionManager.test.js @@ -22,7 +22,7 @@ describe('SessionManager', () => { const context = { description: 'Test context' }; const sessionId = sessionManager.createSession(null); // null WebSocket for testing - sessionManager.initializeSession(sessionId, mode, model, tools, context); + sessionManager.initializeSession(sessionId, mode, model, tools, context, 'test-client'); const session = sessionManager.getSession(sessionId); expect(session).toBeDefined(); diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js index 5fd41ded..2c95749c 100644 --- a/tests/agent/SessionManagerSummarization.test.js +++ b/tests/agent/SessionManagerSummarization.test.js @@ -61,7 +61,7 @@ describe('SessionManager.cleanupContext', () => { beforeEach(() => { sessionManager = new SessionManager(); sessionId = sessionManager.createSession(null); - sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, 'test-client'); sessionManager.gemini = makeGeminiMock(); }); @@ -139,7 +139,7 @@ describe('SessionManager.cleanupContext', () => { beforeEach(() => { sessionManager = new SessionManager(); sessionId = sessionManager.createSession(null); - sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, 'test-client'); sessionManager.gemini = makeGeminiMock(); }); @@ -180,7 +180,7 @@ describe('Agent switch - context continuity between orchestrators', () => { beforeEach(() => { sessionManager = new SessionManager(); sessionId = sessionManager.createSession(null); - sessionManager.initializeSession(sessionId, 'cld', {}, [], {}); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, 'test-client'); process.env.GEMINI_API_KEY = 'dummy_key'; process.env.ANTHROPIC_API_KEY = 'dummy_key'; }); diff --git a/tests/agent/WorkerSpawner.test.js b/tests/agent/WorkerSpawner.test.js index 55b6656d..a4288167 100644 --- a/tests/agent/WorkerSpawner.test.js +++ b/tests/agent/WorkerSpawner.test.js @@ -179,7 +179,7 @@ describe('SessionManager.createSessionWithId', () => { try { sm.createSessionWithId('test-id-5', null, tempDir); expect(() => { - sm.initializeSession('test-id-5', 'sfd', null, [], {}); + sm.initializeSession('test-id-5', 'sfd', null, [], {}, 'test-client'); }).not.toThrow(); expect(sm.getSession('test-id-5').mode).toBe('sfd'); } finally { diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js new file mode 100644 index 00000000..47f4e81f --- /dev/null +++ b/utilities/TokenUsageReporter.js @@ -0,0 +1,71 @@ +import logger from './logger.js'; + +class TokenUsageReporter { + /** + * @param {string|null} url - Optional URL to POST token usage to. If null, reporting is disabled. + * @param {string|null} clientId - The clientId from the InitializeSessionMessage. + */ + constructor(url = null, clientId = null) { + this.url = url; + this.clientId = clientId; + this.enabled = url !== null && url !== undefined && url !== ''; + } + + /** + * Reports token usage for an agent LLM call. + * @param {Object} params + * @param {string} params.method - Invocation method: 'anthropic-sdk' | 'anthropic-manual' | 'gemini-adk' | 'gemini-manual' + * @param {string} params.model - Specific model name, e.g. 'claude-sonnet-4-6' or 'gemini-3-flash-preview' + * @param {Object} params.usage - Raw usage object from the LLM provider + */ + async report({ method, model, usage }) { + if (!usage) return; + + const isAnthropic = method === 'anthropic-sdk' || method === 'anthropic-manual'; + const tokens = isAnthropic + ? { + input_tokens: usage.input_tokens ?? 0, + output_tokens: usage.output_tokens ?? 0, + cache_creation_input_tokens: usage.cache_creation_input_tokens ?? 0, + cache_read_input_tokens: usage.cache_read_input_tokens ?? 0, + } + : { + input_tokens: usage.promptTokenCount ?? 0, + output_tokens: usage.candidatesTokenCount ?? 0, + cached_tokens: usage.cachedContentTokenCount ?? 0, + thoughts_tokens: usage.thoughtsTokenCount ?? 0, + }; + + if (isAnthropic) { + logger.log(`[usage:${method}] input=${tokens.input_tokens} output=${tokens.output_tokens} cache_write=${tokens.cache_creation_input_tokens} cache_read=${tokens.cache_read_input_tokens}`); + } else { + logger.log(`[usage:${method}] input=${tokens.input_tokens} output=${tokens.output_tokens} cached=${tokens.cached_tokens} thoughts=${tokens.thoughts_tokens}`); + } + + if (!this.enabled) return; + + const reportData = { + clientId: this.clientId, + method, + model, + tokens, + timestamp: new Date().toISOString(), + }; + + try { + const response = await fetch(this.url, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(reportData), + }); + + if (!response.ok) { + console.error(`TokenUsageReporter: Failed to POST to ${this.url}. Status: ${response.status}`); + } + } catch (error) { + console.error(`TokenUsageReporter: Error posting to ${this.url}:`, error.message); + } + } +} + +export default TokenUsageReporter; From a043ca48d84abe0fb8d73b37d69aebfd7c2c7c8d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 08:21:15 -0400 Subject: [PATCH 125/226] update the TokenUsageReporter to work with the engines as well and to capture the full cost of using tools too --- agent/AgentOrchestrator.js | 23 ++++---- agent/tools/builtin/discussModelAcrossRuns.js | 16 +++--- agent/tools/builtin/discussModelWithSeldon.js | 14 ++--- agent/tools/builtin/discussWithMentor.js | 13 ++--- agent/tools/builtin/generateDocumentation.js | 11 ++-- agent/tools/builtin/generateLtmNarrative.js | 12 +++-- .../tools/builtin/generateQualitativeModel.js | 11 ++-- .../builtin/generateQuantitativeModel.js | 12 ++--- config.js | 4 +- engines/qualitative/engine.js | 6 +++ engines/quantitative-mentor/engine.js | 6 +++ engines/quantitative/engine.js | 6 +++ engines/seldon-ile-user/engine.js | 6 +++ engines/seldon-mentor/engine.js | 6 +++ engines/seldon/engine.js | 6 +++ routes/v1/engineGenerate.js | 2 +- utilities/LLMWrapper.js | 14 +++++ utilities/TokenUsageReporter.js | 54 ++++++++++++------- 18 files changed, 145 insertions(+), 77 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 7b0fc7e4..6d4239d1 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -98,7 +98,7 @@ export class AgentOrchestrator { this.llm = new LLMWrapper({ underlyingModel: config.agentAnthropicSummaryModel }); const clientId = sessionManager.getSession(sessionId)?.clientId ?? null; - this.tokenReporter = new TokenUsageReporter(config.agentTokenReporterURL, clientId); + this.tokenReporter = new TokenUsageReporter(config.tokenReporterURL, clientId); logger.log(`AgentOrchestrator initialized for session ${sessionId} (agent_mode: ${this.configManager.getAgentMode()})`); } @@ -530,8 +530,9 @@ export class AgentOrchestrator { * Handle result messages (conversation completion) */ async handleAnthropicSDKResultMessage(message) { + this.#logApiUsage('anthropic', message.usage); + if (message.subtype === 'success') { - this.#logApiUsage('anthropic-sdk', message.usage); logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error_max_turns') { logger.log(`SDK conversation reached max iterations for session ${this.sessionId}`); @@ -659,7 +660,7 @@ export class AgentOrchestrator { break; } - this.#logApiUsage('anthropic-manual', response.usage); + this.#logApiUsage('anthropic', response.usage); // Process response continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); @@ -930,7 +931,7 @@ export class AgentOrchestrator { messages: [{ role: 'user', content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] }); if (response.usage) { - this.#logApiUsage('anthropic-manual', response.usage, config.agentAnthropicSummaryModel); + this.#logApiUsage('anthropic', response.usage, config.agentAnthropicSummaryModel); } return response.content[0].text; } catch (error) { @@ -1111,7 +1112,7 @@ export class AgentOrchestrator { if (this.stopRequested) break; - this.#logApiUsage('gemini-manual', response.usageMetadata); + this.#logApiUsage('gemini', response.usageMetadata); continueLoop = await this.processGeminiManualResponse(response, messages, builtInTools, dynamicTools); if (!continueLoop) completedNaturally = true; @@ -1357,7 +1358,7 @@ export class AgentOrchestrator { } if (event.usageMetadata) { - this.#logApiUsage('gemini-adk', event.usageMetadata); + this.#logApiUsage('gemini', event.usageMetadata); } const content = event.content; @@ -1474,7 +1475,7 @@ export class AgentOrchestrator { }] }); if (response.usageMetadata) { - this.#logApiUsage('gemini-manual', response.usageMetadata, config.agentGeminiSummaryModel); + this.#logApiUsage('gemini', response.usageMetadata, config.agentGeminiSummaryModel); } return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; } catch (error) { @@ -1564,14 +1565,12 @@ export class AgentOrchestrator { } } - #logApiUsage(method, usage, model = null) { + #logApiUsage(provider, usage, model = null) { if (!usage) return; const resolvedModel = model ?? ( - (method === 'anthropic-manual' || method === 'anthropic-sdk') - ? config.agentAnthropicModel - : config.agentGeminiModel + provider === 'anthropic' ? config.agentAnthropicModel : config.agentGeminiModel ); - this.tokenReporter.report({ method, model: resolvedModel, usage }).catch(() => {}); + this.tokenReporter.report({ provider, model: resolvedModel, usage }).catch(() => {}); } destroy() { diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index c80447e7..425219d9 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -23,11 +23,17 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send }), handler: async ({ prompt, runName, parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const model = sessionManager.getClientModel(sessionId); if (!model) { return createErrorResponse('No model available in session'); } + const baseParameters = { ...parameters, clientId: session.clientId }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); const feedbackContent = existsSync(feedbackPath) @@ -38,7 +44,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send // Add feedbackContent and behaviorContent to parameters if available const engineParams = { - ...parameters, + ...baseParameters, ...(feedbackContent && { feedbackContent }), ...(behaviorContent && { behaviorContent }) }; @@ -51,12 +57,6 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send // Check if feedback information is required but not provided if (result.output.feedbackInformationRequired && !feedbackContent) { - // Get comparative feedback information from client (all runs) - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - const requestId = generateRequestId('feedback'); // Send request to client for comparative feedback data (empty array means all runs) @@ -84,7 +84,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send // Retry the call with comparative feedback information const retryParams = { - ...parameters, + ...baseParameters, feedbackContent: feedbackData.feedbackContent, ...(behaviorContent && { behaviorContent }) }; diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 3361dce3..128dfdc5 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -22,11 +22,17 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send }), handler: async ({ prompt, parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const model = sessionManager.getClientModel(sessionId); if (!model) { return createErrorResponse('No model available in session'); } + const baseParameters = { ...parameters, clientId: session.clientId }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); const feedbackContent = existsSync(feedbackPath) @@ -34,7 +40,7 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send : undefined; const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); - const enrichedParameters = behaviorContent ? { ...parameters, behaviorContent } : parameters; + const enrichedParameters = behaviorContent ? { ...baseParameters, behaviorContent } : baseParameters; const result = await callSeldonEngine(prompt, model, feedbackContent, enrichedParameters); @@ -44,12 +50,6 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send // Check if feedback information is required but not provided if (result.output.feedbackInformationRequired && !feedbackContent) { - // Get feedback information from client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - const requestId = generateRequestId('feedback'); // Send request to client for feedback data (empty array means all runs) diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index 1175c1e5..ff95dbce 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -22,11 +22,17 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli }), handler: async ({ prompt, parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const model = sessionManager.getClientModel(sessionId); if (!model) { return createErrorResponse('No model available in session'); } + const baseParameters = { ...parameters, clientId: session.clientId }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); const feedbackContent = existsSync(feedbackPath) @@ -34,7 +40,7 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli : undefined; const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); - const enrichedParameters = behaviorContent ? { ...parameters, behaviorContent } : parameters; + const enrichedParameters = behaviorContent ? { ...baseParameters, behaviorContent } : baseParameters; const result = await callSeldonMentorEngine(prompt, model, feedbackContent, enrichedParameters); @@ -44,11 +50,6 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli // Check if feedback information is required but not provided if (result.output.feedbackInformationRequired && !feedbackContent) { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - const requestId = generateRequestId('feedback'); await sendToClient(createFeedbackRequestMessage(sessionId, requestId, [])); diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js index 33312eee..5938a039 100644 --- a/agent/tools/builtin/generateDocumentation.js +++ b/agent/tools/builtin/generateDocumentation.js @@ -20,22 +20,23 @@ export function createGenerateDocumentationTool(sessionManager, sessionId, sendT }), handler: async ({ parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const model = sessionManager.getClientModel(sessionId); if (!model) { return createErrorResponse('No model available in session'); } - const result = await callDocumentationEngine(model, parameters); + const result = await callDocumentationEngine(model, { ...parameters, clientId: session.clientId }); if (!result.success) { return createErrorResponse(result.error); } // Automatically push the generated model to the client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } const requestId = generateRequestId('model'); await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index 2803d7d8..cfc9b86a 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -21,11 +21,17 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo }), handler: async ({ parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const model = sessionManager.getClientModel(sessionId); if (!model) { return createErrorResponse('No model available in session'); } + const baseParameters = { ...parameters, clientId: session.clientId }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); let feedbackContent = existsSync(feedbackPath) @@ -33,13 +39,9 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo : undefined; const behaviorContent = loadBehaviorContent(sessionTempDir, parameters?.runIds); - const enrichedParameters = behaviorContent ? { ...parameters, behaviorContent } : parameters; + const enrichedParameters = behaviorContent ? { ...baseParameters, behaviorContent } : baseParameters; if (!feedbackContent) { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } const requestId = generateRequestId('feedback'); diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index 2b73cda1..e75865dd 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -21,18 +21,19 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se }), handler: async ({ prompt, parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const currentModel = sessionManager.getClientModel(sessionId); - const result = await callQualitativeEngine(prompt, currentModel, parameters); + const result = await callQualitativeEngine(prompt, currentModel, { ...parameters, clientId: session.clientId }); if (!result.success) { return createErrorResponse(result.error); } // Automatically push the generated model to the client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } const requestId = generateRequestId('model'); await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index f7708c3d..1122a39f 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -23,19 +23,19 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s }), handler: async ({ prompt, parameters }) => { try { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } + const currentModel = sessionManager.getClientModel(sessionId); - const result = await callQuantitativeEngine(prompt, currentModel, parameters); + const result = await callQuantitativeEngine(prompt, currentModel, { ...parameters, clientId: session.clientId }); if (!result.success) { return createErrorResponse(result.error); } // Automatically push the generated model to the client - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - const requestId = generateRequestId('model'); await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); diff --git a/config.js b/config.js index ae5d5da3..48f3ae8e 100644 --- a/config.js +++ b/config.js @@ -3,8 +3,8 @@ import { ThinkingLevel } from "@google/genai"; const config = { "port": 3000, - "reporterURL": process.env.REPORTER_URL || null, // Optional URL to POST engine usage metrics - "agentTokenReporterURL": process.env.AGENT_TOKEN_REPORTER_URL || null, // Optional URL to POST agent LLM token usage + "metricsReporterURL": process.env.METRICS_REPORTER_URL || null, // Optional URL to POST engine usage metrics + "tokenReporterURL": process.env.TOKEN_REPORTER_URL || null, // Optional URL to POST agent LLM token usage "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "agentMaxTokensForEngines": 50_000, // Maximum tokens before switching to file-based editing diff --git a/engines/qualitative/engine.js b/engines/qualitative/engine.js index 8d8f5b1c..0caa4c5e 100644 --- a/engines/qualitative/engine.js +++ b/engines/qualitative/engine.js @@ -21,6 +21,12 @@ class Engine { additionalParameters() { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "googleKey", type: "string", required: false, diff --git a/engines/quantitative-mentor/engine.js b/engines/quantitative-mentor/engine.js index 390e7175..c11b7535 100644 --- a/engines/quantitative-mentor/engine.js +++ b/engines/quantitative-mentor/engine.js @@ -21,6 +21,12 @@ Works by sending an LLM the user's request along with a set of systems thinking additionalParameters() { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "googleKey", type: "string", required: false, diff --git a/engines/quantitative/engine.js b/engines/quantitative/engine.js index 09f1e3c2..9a99cffb 100644 --- a/engines/quantitative/engine.js +++ b/engines/quantitative/engine.js @@ -21,6 +21,12 @@ Works by sending an LLM the user's request along with a set of systems thinking additionalParameters() { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "googleKey", type: "string", required: false, diff --git a/engines/seldon-ile-user/engine.js b/engines/seldon-ile-user/engine.js index c0a061d2..35112b99 100644 --- a/engines/seldon-ile-user/engine.js +++ b/engines/seldon-ile-user/engine.js @@ -22,6 +22,12 @@ class Engine { additionalParameters() { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "googleKey", type: "string", required: false, diff --git a/engines/seldon-mentor/engine.js b/engines/seldon-mentor/engine.js index 35324d20..75ecb418 100644 --- a/engines/seldon-mentor/engine.js +++ b/engines/seldon-mentor/engine.js @@ -22,6 +22,12 @@ class Engine { additionalParameters() { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "googleKey", type: "string", required: false, diff --git a/engines/seldon/engine.js b/engines/seldon/engine.js index 0a0aac7a..03b5b48d 100644 --- a/engines/seldon/engine.js +++ b/engines/seldon/engine.js @@ -22,6 +22,12 @@ class Engine { additionalParameters() { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "googleKey", type: "string", required: false, diff --git a/routes/v1/engineGenerate.js b/routes/v1/engineGenerate.js index 7858563a..d72efe1f 100644 --- a/routes/v1/engineGenerate.js +++ b/routes/v1/engineGenerate.js @@ -8,7 +8,7 @@ import GenerateMetricsReporter from './../../utilities/GenerateMetricsReporter.j import config from './../../config.js' const router = express.Router() -const reporter = new GenerateMetricsReporter(config.reporterURL) +const reporter = new GenerateMetricsReporter(config.metricsReporterURL) router.post("/:engine/generate", async (req, res) => { const enginePath = path.join(process.cwd(), 'engines', req.params.engine, 'engine.js'); diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 1ddc42ce..456e7e19 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -4,6 +4,8 @@ import Anthropic from "@anthropic-ai/sdk"; import { z } from "zod"; import { zodResponseFormat } from "openai/helpers/zod"; import { extractJsonFromContent } from "./jsonUtils.js"; +import TokenUsageReporter from "./TokenUsageReporter.js"; +import config from "../config.js"; export const ModelType = Object.freeze({ GEMINI: Symbol("Gemini"), @@ -68,6 +70,7 @@ export class LLMWrapper { #openAIAPI = null; #geminiAPI = null; #anthropicAPI = null; + #tokenReporter = null; model = new ModelCapabilities(LLMWrapper.BUILD_DEFAULT_MODEL); @@ -107,6 +110,8 @@ export class LLMWrapper { if (parameters.jsonObjectMode === true) this.#jsonObjectMode = true; + this.#tokenReporter = new TokenUsageReporter(config.tokenReporterURL, parameters.clientId ?? null); + switch (this.model.kind) { case ModelType.GEMINI: if (!this.#googleKey) { @@ -617,6 +622,7 @@ export class LLMWrapper { } const completion = await this.#openAIAPI.chat.completions.create(completionParams); + this.#tokenReporter.report({ provider: 'openai', model, usage: completion.usage }); const message = completion.choices[0].message; // Reasoning models (e.g. GLM-5) emit chain-of-thought in reasoning_content and // leave content null. Try to extract a valid JSON block from the reasoning text @@ -665,6 +671,7 @@ export class LLMWrapper { } const result = await this.#geminiAPI.models.generateContent(requestConfig); + this.#tokenReporter.report({ provider: 'gemini', model, usage: result.usageMetadata }); // Convert Gemini response to OpenAI format return { @@ -706,6 +713,7 @@ export class LLMWrapper { completionParams, { headers } ); + this.#tokenReporter.report({ provider: 'anthropic', model, usage: completion.usage }); // With output_format, the response is always in content[0].text as JSON if (zodSchema) { @@ -790,6 +798,12 @@ export class LLMWrapper { static additionalParameters(defaultModel) { return [{ + name: "clientId", + type: "string", + required: false, + uiElement: "hidden", + description: "A unique identifier for the end user of this session" + },{ name: "openAIKey", type: "string", required: false, diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index 47f4e81f..84ef1c5b 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -8,45 +8,59 @@ class TokenUsageReporter { constructor(url = null, clientId = null) { this.url = url; this.clientId = clientId; - this.enabled = url !== null && url !== undefined && url !== ''; + this.enabled = url !== null && url !== undefined && url !== '' && clientId !== null && clientId !== undefined && clientId !== ''; } /** * Reports token usage for an agent LLM call. * @param {Object} params - * @param {string} params.method - Invocation method: 'anthropic-sdk' | 'anthropic-manual' | 'gemini-adk' | 'gemini-manual' + * @param {string} params.provider - LLM provider: 'anthropic' | 'openai' | 'gemini' * @param {string} params.model - Specific model name, e.g. 'claude-sonnet-4-6' or 'gemini-3-flash-preview' * @param {Object} params.usage - Raw usage object from the LLM provider */ - async report({ method, model, usage }) { + async report({ provider, model, usage }) { if (!usage) return; - const isAnthropic = method === 'anthropic-sdk' || method === 'anthropic-manual'; - const tokens = isAnthropic - ? { - input_tokens: usage.input_tokens ?? 0, - output_tokens: usage.output_tokens ?? 0, - cache_creation_input_tokens: usage.cache_creation_input_tokens ?? 0, - cache_read_input_tokens: usage.cache_read_input_tokens ?? 0, - } - : { - input_tokens: usage.promptTokenCount ?? 0, - output_tokens: usage.candidatesTokenCount ?? 0, - cached_tokens: usage.cachedContentTokenCount ?? 0, - thoughts_tokens: usage.thoughtsTokenCount ?? 0, - }; + const isAnthropic = provider === 'anthropic'; + const isOpenAI = provider === 'openai'; + let tokens; if (isAnthropic) { - logger.log(`[usage:${method}] input=${tokens.input_tokens} output=${tokens.output_tokens} cache_write=${tokens.cache_creation_input_tokens} cache_read=${tokens.cache_read_input_tokens}`); + tokens = { + input_tokens: usage.input_tokens ?? 0, + output_tokens: usage.output_tokens ?? 0, + cache_creation_input_tokens: usage.cache_creation_input_tokens ?? 0, + cache_read_input_tokens: usage.cache_read_input_tokens ?? 0, + }; + } else if (isOpenAI) { + tokens = { + input_tokens: usage.prompt_tokens ?? 0, + output_tokens: usage.completion_tokens ?? 0, + cached_tokens: usage.prompt_tokens_details?.cached_tokens ?? 0, + reasoning_tokens: usage.completion_tokens_details?.reasoning_tokens ?? 0, + }; } else { - logger.log(`[usage:${method}] input=${tokens.input_tokens} output=${tokens.output_tokens} cached=${tokens.cached_tokens} thoughts=${tokens.thoughts_tokens}`); + tokens = { + input_tokens: usage.promptTokenCount ?? 0, + output_tokens: usage.candidatesTokenCount ?? 0, + cached_tokens: usage.cachedContentTokenCount ?? 0, + thoughts_tokens: usage.thoughtsTokenCount ?? 0, + }; + } + + if (isAnthropic) { + logger.log(`[usage:${provider}] input=${tokens.input_tokens} output=${tokens.output_tokens} cache_write=${tokens.cache_creation_input_tokens} cache_read=${tokens.cache_read_input_tokens}`); + } else if (isOpenAI) { + logger.log(`[usage:${provider}] input=${tokens.input_tokens} output=${tokens.output_tokens} cached=${tokens.cached_tokens} reasoning=${tokens.reasoning_tokens}`); + } else { + logger.log(`[usage:${provider}] input=${tokens.input_tokens} output=${tokens.output_tokens} cached=${tokens.cached_tokens} thoughts=${tokens.thoughts_tokens}`); } if (!this.enabled) return; const reportData = { clientId: this.clientId, - method, + provider, model, tokens, timestamp: new Date().toISOString(), From 25f473a950bba5c284210faf5cfa5b9b87574f30 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 08:54:14 -0400 Subject: [PATCH 126/226] cleaned up usage reporting --- utilities/TokenUsageReporter.js | 31 ++++++++++++++++--------------- 1 file changed, 16 insertions(+), 15 deletions(-) diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index 84ef1c5b..7616f4b5 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -27,33 +27,34 @@ class TokenUsageReporter { let tokens; if (isAnthropic) { tokens = { - input_tokens: usage.input_tokens ?? 0, - output_tokens: usage.output_tokens ?? 0, - cache_creation_input_tokens: usage.cache_creation_input_tokens ?? 0, - cache_read_input_tokens: usage.cache_read_input_tokens ?? 0, + inputTokens: usage.input_tokens ?? 0, + outputTokens: usage.output_tokens ?? 0, + cacheCreation5mInputTokens: usage.cache_creation?.ephemeral_5m_input_tokens ?? 0, + cacheCreation1hInputTokens: usage.cache_creation?.ephemeral_1h_input_tokens ?? 0, + cacheReadInputTokens: usage.cache_read_input_tokens ?? 0, }; } else if (isOpenAI) { tokens = { - input_tokens: usage.prompt_tokens ?? 0, - output_tokens: usage.completion_tokens ?? 0, - cached_tokens: usage.prompt_tokens_details?.cached_tokens ?? 0, - reasoning_tokens: usage.completion_tokens_details?.reasoning_tokens ?? 0, + inputTokens: usage.prompt_tokens ?? 0, + outputTokens: usage.completion_tokens ?? 0, + cachedTokens: usage.prompt_tokens_details?.cached_tokens ?? 0, + reasoningTokens: usage.completion_tokens_details?.reasoning_tokens ?? 0, }; } else { tokens = { - input_tokens: usage.promptTokenCount ?? 0, - output_tokens: usage.candidatesTokenCount ?? 0, - cached_tokens: usage.cachedContentTokenCount ?? 0, - thoughts_tokens: usage.thoughtsTokenCount ?? 0, + inputTokens: usage.promptTokenCount ?? 0, + outputTokens: usage.candidatesTokenCount ?? 0, + cachedTokens: usage.cachedContentTokenCount ?? 0, + thoughtsTokens: usage.thoughtsTokenCount ?? 0, }; } if (isAnthropic) { - logger.log(`[usage:${provider}] input=${tokens.input_tokens} output=${tokens.output_tokens} cache_write=${tokens.cache_creation_input_tokens} cache_read=${tokens.cache_read_input_tokens}`); + logger.log(`[usage:${provider}] input=${tokens.inputTokens} output=${tokens.outputTokens} cache_write=${tokens.cacheCreationInputTokens} cache_write_5m=${tokens.cacheCreation5mInputTokens} cache_write_1h=${tokens.cacheCreation1hInputTokens} cache_read=${tokens.cacheReadInputTokens}`); } else if (isOpenAI) { - logger.log(`[usage:${provider}] input=${tokens.input_tokens} output=${tokens.output_tokens} cached=${tokens.cached_tokens} reasoning=${tokens.reasoning_tokens}`); + logger.log(`[usage:${provider}] input=${tokens.inputTokens} output=${tokens.outputTokens} cached=${tokens.cachedTokens} reasoning=${tokens.reasoningTokens}`); } else { - logger.log(`[usage:${provider}] input=${tokens.input_tokens} output=${tokens.output_tokens} cached=${tokens.cached_tokens} thoughts=${tokens.thoughts_tokens}`); + logger.log(`[usage:${provider}] input=${tokens.inputTokens} output=${tokens.outputTokens} cached=${tokens.cachedTokens} thoughts=${tokens.thoughtsTokens}`); } if (!this.enabled) return; From bcb37ee09ed7bea8c70e8c5ecb5e2905d510f21b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 08:54:22 -0400 Subject: [PATCH 127/226] added gpt 5.5 --- utilities/LLMWrapper.js | 1 + 1 file changed, 1 insertion(+) diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 456e7e19..5223fd97 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -150,6 +150,7 @@ export class LLMWrapper { } static MODELS = [ + {label: "GPT-5.5", value: 'gpt-5.5 medium'}, {label: "GPT-5.4", value: 'gpt-5.4 medium'}, {label: "GPT-5.3", value: 'gpt-5.3 medium'}, {label: "GPT-5.2", value: 'gpt-5.2 medium'}, From 3994b5da3ca30a34a3d80e0b1a998cfc3e60ee97 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 09:34:41 -0400 Subject: [PATCH 128/226] cleanup model list --- engines/causal-chains/engine.js | 2 +- utilities/LLMWrapper.js | 23 ++++------------------- 2 files changed, 5 insertions(+), 20 deletions(-) diff --git a/engines/causal-chains/engine.js b/engines/causal-chains/engine.js index 5ed58825..33cbb719 100644 --- a/engines/causal-chains/engine.js +++ b/engines/causal-chains/engine.js @@ -19,7 +19,7 @@ class Engine { constructor() { } - static DEFAULT_MODEL = 'o4-mini'; + static DEFAULT_MODEL = 'gpt-5-mini'; static description() { return `This engine improves conformance to user instructions about feedback complexity by prompting the LLM to diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 5223fd97..ccff36bb 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -150,19 +150,8 @@ export class LLMWrapper { } static MODELS = [ - {label: "GPT-5.5", value: 'gpt-5.5 medium'}, - {label: "GPT-5.4", value: 'gpt-5.4 medium'}, - {label: "GPT-5.3", value: 'gpt-5.3 medium'}, - {label: "GPT-5.2", value: 'gpt-5.2 medium'}, - {label: "GPT-5.1", value: 'gpt-5.1 medium'}, - {label: "GPT-5", value: 'gpt-5'}, - {label: "GPT-5-mini", value: 'gpt-5-mini'}, - {label: "GPT-5-nano", value: 'gpt-5-nano'}, - {label: "GPT-4.1", value: 'gpt-4.1'}, - {label: "GPT-4.1-mini", value: 'gpt-4.1-mini'}, - {label: "GPT-4.1-nano", value: 'gpt-4.1-nano'}, - {label: "GPT-4o", value: 'gpt-4o'}, - {label: "GPT-4o-mini", value: 'gpt-4o-mini'}, + {label: "GPT-5 latest", value: 'gpt-5'}, + {label: "GPT-5-mini latest", value: 'gpt-5-mini'}, {label: "Gemini 3.1-pro-preview", value: 'gemini-3.1-pro-preview'}, {label: "Gemini 3-flash-preview", value: 'gemini-3-flash-preview'}, {label: "Gemini 3-flash-preview high", value: 'gemini-3-flash-preview high'}, @@ -170,16 +159,12 @@ export class LLMWrapper { {label: "Gemini 3-flash-preview low", value: 'gemini-3-flash-preview low'}, {label: "Gemini 3-flash-preview minimal", value: 'gemini-3-flash-preview minimal'}, {label: "Gemini 2.5-flash", value: 'gemini-2.5-flash'}, - {label: "Gemini 2.5-flash-lite", value: 'gemini-2.5-flash-lite'}, {label: "Gemini 2.5-pro", value: 'gemini-2.5-pro'}, + {label: "Claude Opus 4.7", value: 'claude-opus-4-7'}, {label: "Claude Opus 4.6", value: 'claude-opus-4-6'}, {label: "Claude Sonnet 4.6", value: 'claude-sonnet-4-6'}, - {label: "Claude Haiku 4.5", value: 'claude-haiku-4-5'}, - {label: "Claude Opus 4.5", value: 'claude-opus-4-5'}, {label: "Claude Sonnet 4.5", value: 'claude-sonnet-4-5'}, - {label: "o1", value: 'o1'}, - {label: "o3", value: 'o3'}, - {label: "o4-mini", value: 'o4-mini'} + {label: "Claude Haiku 4.5", value: 'claude-haiku-4-5'}, ]; static BUILD_DEFAULT_MODEL = 'gemini-3-flash-preview low'; //'claude-opus-4-6'; From 23228ed26e6b11f54feb51ae52f8df0195e5bae4 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 10:33:58 -0400 Subject: [PATCH 129/226] compute pricing for all api requests --- agent/AgentOrchestrator.js | 23 ++--- utilities/TokenUsageReporter.js | 93 ++++++++++++++++++- utilities/pricing.js | 155 ++++++++++++++++++++++++++++++++ 3 files changed, 258 insertions(+), 13 deletions(-) create mode 100644 utilities/pricing.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 6d4239d1..630bec03 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -331,6 +331,13 @@ export class AgentOrchestrator { 'awaiting_user', 'Agent stopped by user request' )); + } else if (error.message?.includes('maximum number of turns')) { + logger.log(`Agent reached max turns for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + `Reached maximum iterations (${maxIterations})` + )); } else { logger.error('Error in agent conversation loop:', error); await this.sendToClient(createErrorMessage( @@ -416,6 +423,7 @@ export class AgentOrchestrator { * Handle assistant messages (text from Claude) */ async handleAnthropicSDKAssistantMessage(message) { + this.#logApiUsage('anthropic', message.message?.usage); const content = message.message?.content; const rawTextParts = []; @@ -530,8 +538,6 @@ export class AgentOrchestrator { * Handle result messages (conversation completion) */ async handleAnthropicSDKResultMessage(message) { - this.#logApiUsage('anthropic', message.usage); - if (message.subtype === 'success') { logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error_max_turns') { @@ -654,14 +660,14 @@ export class AgentOrchestrator { tools: tools.length > 0 ? tools : undefined }); + this.#logApiUsage('anthropic', response.usage); + // Check if stop was requested during the API call if (this.stopRequested) { logger.log(`Stop requested during API call for session ${this.sessionId}`); break; } - this.#logApiUsage('anthropic', response.usage); - // Process response continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); @@ -1110,10 +1116,10 @@ export class AgentOrchestrator { config: geminiConfig }); - if (this.stopRequested) break; - this.#logApiUsage('gemini', response.usageMetadata); + if (this.stopRequested) break; + continueLoop = await this.processGeminiManualResponse(response, messages, builtInTools, dynamicTools); if (!continueLoop) completedNaturally = true; @@ -1316,6 +1322,7 @@ export class AgentOrchestrator { newMessage, abortSignal: this.abortController.signal })) { + if (event.usageMetadata) this.#logApiUsage('gemini', event.usageMetadata); if (this.stopRequested) break; await this.handleAdkEvent(event); if (isFinalResponse(event)) turnCount++; @@ -1357,10 +1364,6 @@ export class AgentOrchestrator { throw new Error(event.errorMessage || `ADK error: ${event.errorCode}`); } - if (event.usageMetadata) { - this.#logApiUsage('gemini', event.usageMetadata); - } - const content = event.content; if (!content?.parts) return; diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index 7616f4b5..1eb934a1 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -1,4 +1,5 @@ import logger from './logger.js'; +import { getPricing } from './pricing.js'; class TokenUsageReporter { /** @@ -49,12 +50,37 @@ class TokenUsageReporter { }; } + const costs = this.#calculateCost(provider, model, tokens); + const fmt = (n, cost) => cost != null ? `${n}($${cost.toFixed(6)})` : `${n}`; + if (isAnthropic) { - logger.log(`[usage:${provider}] input=${tokens.inputTokens} output=${tokens.outputTokens} cache_write=${tokens.cacheCreationInputTokens} cache_write_5m=${tokens.cacheCreation5mInputTokens} cache_write_1h=${tokens.cacheCreation1hInputTokens} cache_read=${tokens.cacheReadInputTokens}`); + logger.log( + `[usage:${provider}]` + + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + + ` cache_write_5m=${fmt(tokens.cacheCreation5mInputTokens, costs?.cacheCreation5mInputTokens)}` + + ` cache_write_1h=${fmt(tokens.cacheCreation1hInputTokens, costs?.cacheCreation1hInputTokens)}` + + ` cache_read=${fmt(tokens.cacheReadInputTokens, costs?.cacheReadInputTokens)}` + + (costs ? ` total=$${costs.total.toFixed(6)}` : '') + ); } else if (isOpenAI) { - logger.log(`[usage:${provider}] input=${tokens.inputTokens} output=${tokens.outputTokens} cached=${tokens.cachedTokens} reasoning=${tokens.reasoningTokens}`); + logger.log( + `[usage:${provider}]` + + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + + ` cached=${fmt(tokens.cachedTokens, costs?.cachedTokens)}` + + ` reasoning=${tokens.reasoningTokens}` + + (costs ? ` total=$${costs.total.toFixed(6)}` : '') + ); } else { - logger.log(`[usage:${provider}] input=${tokens.inputTokens} output=${tokens.outputTokens} cached=${tokens.cachedTokens} thoughts=${tokens.thoughtsTokens}`); + logger.log( + `[usage:${provider}]` + + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + + ` cached=${fmt(tokens.cachedTokens, costs?.cachedTokens)}` + + ` thoughts=${fmt(tokens.thoughtsTokens, costs?.thoughtsTokens)}` + + (costs ? ` total=$${costs.total.toFixed(6)}` : '') + ); } if (!this.enabled) return; @@ -64,6 +90,7 @@ class TokenUsageReporter { provider, model, tokens, + cost: costs?.total ?? null, timestamp: new Date().toISOString(), }; @@ -81,6 +108,66 @@ class TokenUsageReporter { console.error(`TokenUsageReporter: Error posting to ${this.url}:`, error.message); } } + + /** + * @param {'anthropic'|'openai'|'gemini'} provider + * @param {string} model + * @param {Object} tokens + * @returns {{ total: number, [key: string]: number }|null} + */ + #calculateCost(provider, model, tokens) { + const pricing = getPricing(provider, model, tokens.inputTokens); + if (!pricing) return null; + + const per = (count, rate) => (count / 1_000_000) * rate; + + if (provider === 'anthropic') { + const inputTokens = per(tokens.inputTokens, pricing.inputTokens); + const outputTokens = per(tokens.outputTokens, pricing.outputTokens); + const cacheCreation5mInputTokens = per(tokens.cacheCreation5mInputTokens, pricing.cacheCreation5mInputTokens); + const cacheCreation1hInputTokens = per(tokens.cacheCreation1hInputTokens, pricing.cacheCreation1hInputTokens); + const cacheReadInputTokens = per(tokens.cacheReadInputTokens, pricing.cacheReadInputTokens); + return { + inputTokens, + outputTokens, + cacheCreation5mInputTokens, + cacheCreation1hInputTokens, + cacheReadInputTokens, + total: inputTokens + outputTokens + cacheCreation5mInputTokens + cacheCreation1hInputTokens + cacheReadInputTokens, + }; + } + + if (provider === 'gemini') { + // cachedTokens are a subset of inputTokens; bill non-cached at full rate, cached at reduced rate + // thoughtsTokens are separate from outputTokens and billed at the output rate + const nonCached = tokens.inputTokens - tokens.cachedTokens; + const inputTokens = per(nonCached, pricing.inputTokens); + const cachedTokens = per(tokens.cachedTokens, pricing.cachedTokens); + const outputTokens = per(tokens.outputTokens, pricing.outputTokens); + const thoughtsTokens = per(tokens.thoughtsTokens, pricing.outputTokens); + return { + inputTokens, + cachedTokens, + outputTokens, + thoughtsTokens, + total: inputTokens + cachedTokens + outputTokens + thoughtsTokens, + }; + } + + // openai (and unknown providers, which fall back to openai pricing) + // cachedTokens are a subset of inputTokens; bill non-cached at full rate, cached at reduced rate + // reasoningTokens are already included in outputTokens (completion_tokens), so not billed separately + const nonCached = tokens.inputTokens - tokens.cachedTokens; + const inputTokens = per(nonCached, pricing.inputTokens); + const cachedTokens = per(tokens.cachedTokens, pricing.cachedTokens); + const outputTokens = per(tokens.outputTokens, pricing.outputTokens); + return { + inputTokens, + cachedTokens, + outputTokens, + total: inputTokens + cachedTokens + outputTokens, + }; + } } export default TokenUsageReporter; diff --git a/utilities/pricing.js b/utilities/pricing.js new file mode 100644 index 00000000..4fbc3123 --- /dev/null +++ b/utilities/pricing.js @@ -0,0 +1,155 @@ +import logger from './logger.js'; + +// LLM pricing — USD per 1 million tokens +// Each provider section has a 'default' fallback for unknown models. +// Models with tiered pricing use an array of tiers; the first matching tier wins. +// A tier matches when inputTokens <= maxInputTokens, or when maxInputTokens is absent (catch-all). + +// ─── Anthropic ─────────────────────────────────────────────────────────────── +// Source: https://platform.claude.com/docs/en/about-claude/pricing +export const anthropic = { + 'claude-opus-4-7': { + inputTokens: 5.00, + cacheCreation5mInputTokens: 6.25, + cacheCreation1hInputTokens: 10.00, + cacheReadInputTokens: 0.50, + outputTokens: 25.00, + }, + 'claude-opus-4-6': { + inputTokens: 5.00, + cacheCreation5mInputTokens: 6.25, + cacheCreation1hInputTokens: 10.00, + cacheReadInputTokens: 0.50, + outputTokens: 25.00, + }, + 'claude-sonnet-4-6': { + inputTokens: 3.00, + cacheCreation5mInputTokens: 3.75, + cacheCreation1hInputTokens: 6.00, + cacheReadInputTokens: 0.30, + outputTokens: 15.00, + }, + 'claude-sonnet-4-5': { + inputTokens: 3.00, + cacheCreation5mInputTokens: 3.75, + cacheCreation1hInputTokens: 6.00, + cacheReadInputTokens: 0.30, + outputTokens: 15.00, + }, + 'claude-haiku-4-5': { + inputTokens: 1.00, + cacheCreation5mInputTokens: 1.25, + cacheCreation1hInputTokens: 2.00, + cacheReadInputTokens: 0.10, + outputTokens: 5.00, + }, + default: { + inputTokens: 5.00, + cacheCreation5mInputTokens: 6.25, + cacheCreation1hInputTokens: 10.00, + cacheReadInputTokens: 0.50, + outputTokens: 25.00, + }, +}; + +// ─── Gemini ────────────────────────────────────────────────────────────────── +// Source: https://ai.google.dev/gemini-api/docs/pricing +// Thinking/reasoning tokens are billed at the output token rate. +// cachedTokens are a subset of inputTokens and billed at the cached rate instead. +export const gemini = { + 'gemini-3.1-pro-preview': [ + { maxInputTokens: 200000, inputTokens: 2.00, cachedTokens: 0.20, outputTokens: 12.00 }, + { inputTokens: 4.00, cachedTokens: 0.40, outputTokens: 18.00 }, + ], + 'gemini-2.5-pro': [ + { maxInputTokens: 200000, inputTokens: 1.25, cachedTokens: 0.13, outputTokens: 10.00 }, + { inputTokens: 2.50, cachedTokens: 0.25, outputTokens: 15.00 }, + ], + 'gemini-2.5-flash': { + inputTokens: 0.30, + cachedTokens: 0.03, + outputTokens: 2.50, + }, + 'gemini-3-flash-preview': { + inputTokens: 0.50, + cachedTokens: 0.05, + outputTokens: 3.00, + }, + default: { + inputTokens: 4.00, + cachedTokens: 0.40, + outputTokens: 18.00, + }, +}; + +// ─── OpenAI ────────────────────────────────────────────────────────────────── +// Source: https://developers.openai.com/api/docs/pricing +// Reasoning tokens are billed at the output token rate and are already included +// in completion_tokens, so they must not be double-counted. +// cachedTokens are a subset of inputTokens and billed at the cached rate instead. +// Aliases resolve before the pricing lookup. +export const openaiAliases = { + 'gpt-5': 'gpt-5.5', // same as newest gpt-5.X model + 'gpt-5-mini': 'gpt-5.4-mini', // same as newest gpt-5.X mini model +}; + +export const openai = { + 'gpt-5.5': [ + { maxInputTokens: 272000, inputTokens: 5.00, cachedTokens: 0.50, outputTokens: 30.00 }, + { inputTokens: 10.00, cachedTokens: 1.00, outputTokens: 45.00 }, + ], + 'gpt-5.4-mini': { + inputTokens: 0.75, + cachedTokens: 0.08, + outputTokens: 4.50, + }, + default: { + inputTokens: 10.00, + cachedTokens: 1.00, + outputTokens: 45.00, + }, +}; + +// ─── Lookup helper ─────────────────────────────────────────────────────────── + +/** + * Returns the pricing tier for a given provider/model/inputTokenCount. + * Unknown providers fall back to the OpenAI pricing table. + * Unknown models fall back to the provider's "default" entry. + * @param {string} provider - 'anthropic' | 'openai' | 'gemini' (others fall back to openai) + * @param {string} model + * @param {number} inputTokens - used to select the correct tier for tiered models + * @returns {Object|null} pricing object with per-token-type rates + */ +export function getPricing(provider, model, inputTokens = 0) { + let table, aliases; + if (provider === 'anthropic') { + table = anthropic; aliases = {}; + } else if (provider === 'openai') { + table = openai; aliases = openaiAliases; + } else if (provider === 'gemini') { + table = gemini; aliases = {}; + } else { + logger.error(`[pricing] unknown provider "${provider}" — falling back to openai pricing`); + table = openai; aliases = openaiAliases; + } + + const resolvedModel = aliases[model] ?? model; + let entry = table[resolvedModel]; + if (!entry) { + logger.error(`[pricing] unknown model "${model}" for provider "${provider}" — falling back to default rates`); + entry = table['default']; + } + if (!entry) return null; + + if (Array.isArray(entry)) { + for (const tier of entry) { + if (tier.maxInputTokens === undefined || inputTokens <= tier.maxInputTokens) { + return tier; + } + } + return entry[entry.length - 1]; + } + + return entry; +} From 036d087b397ab238c23c579847c7e702ee6f26b3 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 11:46:24 -0400 Subject: [PATCH 130/226] clean up logging! --- agent/AgentOrchestrator.js | 128 +++++++------------ agent/WebSocket.js | 10 +- agent/utilities/AgentConfigurationManager.js | 3 +- agent/utilities/SessionManager.js | 2 - 4 files changed, 58 insertions(+), 85 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 630bec03..f37bfa3b 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -115,9 +115,6 @@ export class AgentOrchestrator { const agentMode = this.configManager.getAgentMode(); logger.log(`Starting conversation for session ${this.sessionId} (agent_mode: ${agentMode})`); - logger.log(`Built-in tools: ${this.builtInToolProvider.getToolNames().join(', ')}`); - logger.log(`Client tools: ${this.dynamicToolProvider.getToolNames().join(', ')}`); - const isManual = agentMode === 'anthropic-manual' || agentMode === 'gemini-manual'; if (isManual && previousAgentContext?.length > 0) { // previousAgentContext is a reference to the live context — pop the last message @@ -201,10 +198,6 @@ export class AgentOrchestrator { const modelJson = JSON.stringify(currentModel, null, 2); modelTokenCount = countTokens(modelJson); this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - const modelExceedsLimit = modelTokenCount > config.agentMaxTokensForEngines; - - logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelExceedsLimit})`); - } await this.runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext); @@ -256,8 +249,6 @@ export class AgentOrchestrator { ...prefixedClientToolNames // Client tools with mcp__client__ prefix ]; - logger.debug("Allowed tools are: " + allowedTools.join(', ')); - // Prefix tool names in system prompt systemPrompt = this.anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); @@ -279,9 +270,9 @@ export class AgentOrchestrator { // If we have an SDK session ID, resume the conversation if (this.sdkSessionId) { queryOptions.resume = this.sdkSessionId; - logger.log(`Resuming SDK conversation with session_id: ${this.sdkSessionId}`); + logger.log(`Anthropic SDK: Resuming SDK conversation with session_id: ${this.sdkSessionId}`); } else { - logger.log(`Starting new SDK conversation`); + logger.log(`Anthropic SDK: Starting new SDK conversation`); } // Build prompt - inject prior agent's history as plain string prefix on agent switch @@ -308,14 +299,14 @@ export class AgentOrchestrator { // Normal completion (or max turns reached) if (this.maxTurnsReached) { - logger.log(`Agent reached max iterations for session ${this.sessionId}`); + logger.log(`Anthropic SDK: Agent reached max iterations for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage( this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})` )); } else { - logger.log(`Agent conversation completed successfully for session ${this.sessionId}`); + logger.log(`Anthropic SDK: Agent conversation completed successfully for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage( this.sessionId, 'success', @@ -325,21 +316,21 @@ export class AgentOrchestrator { } catch (error) { if (error.name === 'AbortError' || this.stopRequested) { - logger.log(`Agent iteration stopped by user request for session ${this.sessionId}`); + logger.log(`Anthropic SDK: Agent iteration stopped by user request for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage( this.sessionId, 'awaiting_user', 'Agent stopped by user request' )); } else if (error.message?.includes('maximum number of turns')) { - logger.log(`Agent reached max turns for session ${this.sessionId}`); + logger.log(`Anthropic SDK: Agent reached max turns for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage( this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})` )); } else { - logger.error('Error in agent conversation loop:', error); + logger.error('Anthropic SDK: Error in agent conversation loop:', error); await this.sendToClient(createErrorMessage( this.sessionId, `Agent error: ${error.message}`, @@ -396,17 +387,17 @@ export class AgentOrchestrator { if (message.subtype === 'init') { if (message.session_id) { this.sdkSessionId = message.session_id; - logger.log(`SDK initialized for session ${this.sessionId}, SDK session_id: ${this.sdkSessionId}`); + logger.log(`Anthropic SDK initialized for session ${this.sessionId}, SDK session_id: ${this.sdkSessionId}`); } } else if (message.subtype === 'error') { - logger.error(`SDK system error for session ${this.sessionId}:`, message.error || message); + logger.error(`Anthropic SDK system error for session ${this.sessionId}:`, message.error || message); await this.sendToClient(createErrorMessage( this.sessionId, message.error?.message || 'SDK system error', 'SDK_SYSTEM_ERROR' )); } else { - logger.log(`Unhandled system message subtype: ${message.subtype}`, message); + logger.warn(`Anthropic SDK Unhandled system message subtype: ${message.subtype}`, message); } break; @@ -415,7 +406,7 @@ export class AgentOrchestrator { break; default: - logger.log(`Unhandled SDK message type: ${message.type}`, message); + logger.warn(`Anthropic SDK: Unhandled message type: ${message.type}`, message); } } @@ -455,8 +446,6 @@ export class AgentOrchestrator { block.input || {}, isBuiltIn )); - - logger.log(`Tool use notification sent: ${block.name} (${block.id}) - isBuiltIn: ${isBuiltIn}`); } else if (block.type === 'tool_result' && block.tool_use_id) { const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; @@ -464,9 +453,7 @@ export class AgentOrchestrator { // Log errors more prominently if (block.is_error) { - logger.error(`Tool error for ${toolName} (${block.tool_use_id}):`, block.content); - } else { - logger.log(`Tool result received in assistant message for ${toolName} (${block.tool_use_id})`); + logger.error(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); } const responseType = this.#getResponseType(displayName); @@ -508,13 +495,7 @@ export class AgentOrchestrator { // Log errors more prominently if (block.is_error) { - logger.error(`Tool error for ${toolName} (${block.tool_use_id}):`, block.content); - } else { - if (toolName === 'ToolSearch') { - logger.log(`Tool result received for ${toolName} (${block.tool_use_id}):`, JSON.stringify(block.content)); - } else { - logger.log(`Tool result received for ${toolName} (${block.tool_use_id})`); - } + logger.error(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); } const responseType = this.#getResponseType(displayName); @@ -539,16 +520,16 @@ export class AgentOrchestrator { */ async handleAnthropicSDKResultMessage(message) { if (message.subtype === 'success') { - logger.log(`SDK conversation completed successfully for session ${this.sessionId}`); + logger.log(`Anthropic SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error_max_turns') { - logger.log(`SDK conversation reached max iterations for session ${this.sessionId}`); + logger.log(`Anthropic SDK conversation reached max iterations for session ${this.sessionId}`); this.maxTurnsReached = true; } else if (message.subtype === 'error') { - logger.error(`SDK conversation error for session ${this.sessionId}:`, message.error || message); + logger.error(`Anthropic SDK conversation error for session ${this.sessionId}:`, message.error || message); } else if (message.subtype === 'tool_error') { - logger.error(`SDK tool error for session ${this.sessionId}:`, message); + logger.error(`Anthropic SDK tool error for session ${this.sessionId}:`, message); } else { - logger.log(`Unhandled result message subtype: ${message.subtype}`, message); + logger.warn(`Anthropic SDK Unhandled result message subtype: ${message.subtype}`, message); } } @@ -626,7 +607,6 @@ export class AgentOrchestrator { const modelJson = JSON.stringify(currentModel, null, 2); modelTokenCount = countTokens(modelJson); this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelTokenCount > config.agentMaxTokensForEngines})`); } const systemBlocks = [ @@ -664,7 +644,6 @@ export class AgentOrchestrator { // Check if stop was requested during the API call if (this.stopRequested) { - logger.log(`Stop requested during API call for session ${this.sessionId}`); break; } @@ -673,7 +652,6 @@ export class AgentOrchestrator { // Check if stop was requested during response processing if (this.stopRequested) { - logger.log(`Stop requested during response processing for session ${this.sessionId}`); break; } @@ -685,14 +663,14 @@ export class AgentOrchestrator { if ((isOverloaded || isNetworkError) && overloadedRetries < 3) { overloadedRetries++; const reason = isOverloaded ? 'overloaded (529)' : 'network error'; - logger.warn(`Anthropic API ${reason}, retry ${overloadedRetries}/3`); + logger.warn(`Anthropic Manual: Anthropic API ${reason}, retry ${overloadedRetries}/3`); await this.sendToClient(createAgentTextMessage( this.sessionId, isOverloaded ? 'The AI service is temporarily overloaded. Retrying...' : 'Network connection interrupted. Retrying...' )); await new Promise(resolve => setTimeout(resolve, 5000)); } else if (isOverloaded) { - logger.error('Anthropic API overloaded (529) after 3 retries, giving up'); + logger.error('Anthropic Manual: Anthropic API overloaded (529) after 3 retries, giving up'); await this.sendToClient(createErrorMessage( this.sessionId, 'The AI service is overloaded. Please try again later.', @@ -705,7 +683,7 @@ export class AgentOrchestrator { )); continueLoop = false; } else { - logger.error('Error in agent conversation loop:', error); + logger.error('Anthropic Manual: Error in agent conversation loop:', error); await this.sendToClient(createErrorMessage( this.sessionId, `Agent error: ${error.message}`, @@ -722,7 +700,7 @@ export class AgentOrchestrator { } if (this.stopRequested) { - logger.log(`Agent iteration stopped by user request for session ${this.sessionId}`); + logger.log(`Anthropic Manual: Agent iteration stopped by user request for session ${this.sessionId}`); this.stopRequested = false; // Reset for next conversation // Send agent_complete message to notify client that agent has stopped @@ -732,7 +710,7 @@ export class AgentOrchestrator { 'Agent stopped by user request' )); } else if (iteration >= maxIterations) { - logger.warn(`Agent conversation reached max iterations (${maxIterations})`); + logger.warn(`Anthropic Manual: Agent conversation reached max iterations (${maxIterations})`); // Send agent_complete message when max iterations reached await this.sendToClient(createAgentCompleteMessage( @@ -754,7 +732,6 @@ export class AgentOrchestrator { for (const block of response.content) { // Check if stop was requested before processing each block if (this.stopRequested) { - logger.log(`Stop requested during content block processing for session ${this.sessionId}`); return false; // Stop processing immediately } @@ -776,8 +753,6 @@ export class AgentOrchestrator { } else if (block.type === 'tool_use') { hasToolCalls = true; - logger.debug(`Tool call: ${block.name} (${block.id}) input: ${JSON.stringify(block.input)}`); - // Notify client that tool call is happening (for UI display) const isBuiltIn = this.isBuiltInTool(block.name, builtInTools); await this.sendToClient(createToolCallNotificationMessage( @@ -844,7 +819,6 @@ export class AgentOrchestrator { // Check if stop was requested during tool execution if (this.stopRequested) { - logger.log(`Stop requested during tool execution for session ${this.sessionId}`); return false; // Stop processing immediately } @@ -930,7 +904,7 @@ export class AgentOrchestrator { return ''; }).filter(line => line).join('\n\n'); - logger.log(`Summarizing prior agent context (${history.length} messages) before injection`); + logger.log(`Anthropic: Summarizing prior agent context (${history.length} messages) before injection`); const response = await this.anthropic.messages.create({ model: config.agentAnthropicSummaryModel, max_tokens: 1024, @@ -941,7 +915,7 @@ export class AgentOrchestrator { } return response.content[0].text; } catch (error) { - logger.error('Error summarizing prior context:', error); + logger.error('Anthropic: Error summarizing prior context:', error); return '[Prior conversation condensed due to size]'; } } @@ -979,7 +953,7 @@ export class AgentOrchestrator { }; } catch (error) { - logger.error(`Error executing tool ${toolUse.name}:`, error); + logger.error(`Anthropic Manual: Error executing tool ${toolUse.name}:`, error); return { content: { error: error.message }, isError: true @@ -997,23 +971,20 @@ export class AgentOrchestrator { // Convert built-in tools for (const [toolName, toolDef] of Object.entries(builtInTools.tools)) { if (toolNames.has(toolName)) { - logger.warn(`Duplicate tool name detected: ${toolName} (from built-in tools)`); + logger.warn(`Anthropic: Duplicate tool name detected: ${toolName} (from built-in tools)`); continue; } // Skip tools that don't support the current mode if (mode && toolDef.supportedModes && !toolDef.supportedModes.includes(mode)) { - logger.log(`Excluding tool ${toolName} - not supported in mode: ${mode}`); continue; } // Skip tools whose model token constraints aren't met if (toolDef.maxModelTokens && modelTokenCount > toolDef.maxModelTokens) { - logger.log(`Excluding tool ${toolName} - model token count ${modelTokenCount} exceeds max ${toolDef.maxModelTokens}`); continue; } if (toolDef.minModelTokens && modelTokenCount < toolDef.minModelTokens) { - logger.log(`Excluding tool ${toolName} - model token count ${modelTokenCount} below min ${toolDef.minModelTokens}`); continue; } @@ -1030,7 +1001,7 @@ export class AgentOrchestrator { if (dynamicTools && dynamicTools.tools) { for (const [toolName, toolDef] of Object.entries(dynamicTools.tools)) { if (toolNames.has(toolName)) { - logger.warn(`Duplicate tool name detected: ${toolName} (from client tools) - skipping client version, using built-in`); + logger.warn(`Anthropic: Duplicate tool name detected: ${toolName} (from client tools) - skipping client version, using built-in`); continue; } toolNames.add(toolName); @@ -1091,7 +1062,6 @@ export class AgentOrchestrator { const modelJson = JSON.stringify(currentModel, null, 2); modelTokenCount = encode(modelJson).length; this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - logger.log(`Model token count: ${modelTokenCount} (limit: ${config.agentMaxTokensForEngines}, exceeds: ${modelTokenCount > config.agentMaxTokensForEngines})`); } const toolDeclarations = this.convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); @@ -1132,19 +1102,19 @@ export class AgentOrchestrator { if ((isQuota || isNetworkError) && retries < 3) { retries++; const reason = isQuota ? 'quota/rate-limited (429)' : 'network error'; - logger.warn(`Gemini API ${reason}, retry ${retries}/3`); + logger.warn(`Gemini Manual: Gemini API ${reason}, retry ${retries}/3`); await this.sendToClient(createAgentTextMessage( this.sessionId, isQuota ? 'The AI service is temporarily rate-limited. Retrying...' : 'Network connection interrupted. Retrying...' )); await new Promise(resolve => setTimeout(resolve, 5000)); } else if (isQuota) { - logger.error('Gemini API rate-limited after 3 retries, giving up'); + logger.error('Gemini Manual: Gemini API rate-limited after 3 retries, giving up'); await this.sendToClient(createErrorMessage(this.sessionId, 'The AI service is rate-limited. Please try again later.', 'AGENT_ERROR')); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to rate limiting')); continueLoop = false; } else { - logger.error('Error in Gemini agent conversation loop:', error); + logger.error('Gemini Manual: Error in Gemini agent conversation loop:', error); await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to error')); continueLoop = false; @@ -1156,7 +1126,7 @@ export class AgentOrchestrator { this.stopRequested = false; await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); } else if (!completedNaturally && iteration >= maxIterations) { - logger.warn(`Agent conversation reached max iterations (${maxIterations})`); + logger.warn(`Gemini Manual: Agent conversation reached max iterations (${maxIterations})`); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); } } @@ -1196,8 +1166,6 @@ export class AgentOrchestrator { await this.#sendSlowToolMessageGeminiADK(name, args); await this.sendToClient(createToolCallNotificationMessage(this.sessionId, callId, name, args, isBuiltIn)); - logger.debug(`Tool call: ${name} (${callId}) input: ${JSON.stringify(args)}`); - const toolResult = await this.executeToolCallGeminiManual({ name, input: args }, builtInTools, dynamicTools); if (this.stopRequested) return false; @@ -1246,6 +1214,7 @@ export class AgentOrchestrator { this.abortController = new AbortController(); const maxIterations = this.configManager.getMaxIterations(); + let maxIterationsHit = false; try { const builtInAdkTools = this.builtInToolProvider.getAdkTools(mode, modelTokenCount); @@ -1297,9 +1266,9 @@ export class AgentOrchestrator { userId: this.sessionId, sessionId: this.adkSessionId }); - logger.log(`ADK session created: ${this.adkSessionId}`); + logger.log(`Gemini ADK: session created: ${this.adkSessionId}`); } else { - logger.log(`Resuming ADK session: ${this.adkSessionId}`); + logger.log(`Gemini ADK: Resuming session: ${this.adkSessionId}`); } let prompt = userMessage; @@ -1327,7 +1296,8 @@ export class AgentOrchestrator { await this.handleAdkEvent(event); if (isFinalResponse(event)) turnCount++; if (turnCount >= maxIterations) { - logger.warn(`ADK agent reached max iterations (${maxIterations})`); + logger.warn(`Gemini ADK: agent reached max iterations (${maxIterations})`); + maxIterationsHit = true; this.abortController.abort(); break; } @@ -1335,22 +1305,25 @@ export class AgentOrchestrator { if (this.stopRequested) { this.stopRequested = false; - logger.log(`ADK agent stopped by user for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); - } else if (turnCount >= maxIterations) { + } else if (maxIterationsHit) { + logger.log(`Gemini ADK: max iterations hit ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); } else { - logger.log(`ADK conversation completed successfully for session ${this.sessionId}`); + logger.log(`Gemini ADK: conversation completed successfully for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'success', 'Task completed successfully')); } } catch (error) { - if (error.name === 'AbortError' || this.stopRequested) { + if (maxIterationsHit) { + logger.log(`Gemini ADK: agent reached max iterations for session ${this.sessionId}`); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); + } else if (error.name === 'AbortError' || this.stopRequested) { this.stopRequested = false; - logger.log(`ADK agent stopped for session ${this.sessionId}`); + logger.log(`Gemini ADK: agent stopped for session ${this.sessionId}`); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); } else { - logger.error('Error in ADK conversation loop:', error); + logger.error('Gemini ADK: in ADK conversation loop:', error); await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Agent error: ${error.message}`)); } @@ -1422,7 +1395,7 @@ export class AgentOrchestrator { } return Promise.resolve({ content: [{ type: 'text', text: `Tool not found: ${toolUse.name}` }], isError: true }); } catch (error) { - logger.error(`Error executing tool ${toolUse.name}:`, error); + logger.error(`Gemini Manual: Error executing tool ${toolUse.name}:`, error); return Promise.resolve({ content: [{ type: 'text', text: error.message }], isError: true }); } } @@ -1469,7 +1442,7 @@ export class AgentOrchestrator { return text ? `${role}: ${text}` : ''; }).filter(line => line).join('\n\n'); - logger.log(`Summarizing prior agent context (${history.length} messages) before injection`); + logger.log(`Gemini: Summarizing prior agent context (${history.length} messages) before injection`); const response = await this.gemini.models.generateContent({ model: config.agentGeminiSummaryModel, contents: [{ @@ -1482,7 +1455,7 @@ export class AgentOrchestrator { } return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; } catch (error) { - logger.error('Error summarizing prior context:', error); + logger.error('Gemini: Error summarizing prior context:', error); return '[Prior conversation condensed due to size]'; } } @@ -1514,7 +1487,6 @@ export class AgentOrchestrator { const cacheKey = systemPrompt + JSON.stringify(toolDeclarations.map(t => t.name)); if (this.#geminiManualCacheName && this.#geminiManualCacheKey === cacheKey) { - logger.log(`[gemini-cache] reusing cache ${this.#geminiManualCacheName}`); return { cachedContent: this.#geminiManualCacheName, thinkingConfig: config.agentGeminiThinking @@ -1525,7 +1497,6 @@ export class AgentOrchestrator { if (this.#geminiManualCacheName) { try { await this.gemini.caches.delete({ name: this.#geminiManualCacheName }); - logger.log(`[gemini-cache] deleted stale cache ${this.#geminiManualCacheName}`); } catch (e) { logger.warn('[gemini-cache] failed to delete stale cache:', e.message); } @@ -1549,7 +1520,6 @@ export class AgentOrchestrator { this.#geminiManualCacheName = cache.name; this.#geminiManualCacheKey = cacheKey; - logger.log(`[gemini-cache] created cache ${cache.name}`); return { cachedContent: cache.name, diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 5473f04f..8ba3e561 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -437,8 +437,14 @@ export class WebSocketHandler { w.on('error', (err) => logger.error(`[worker:${this.#sessionId}] process error: ${err.message}`)); - w.stdout?.on('data', (d) => logger.log(`[worker:${this.#sessionId}] ${d.toString().trim()}`)); - w.stderr?.on('data', (d) => logger.error(`[worker:${this.#sessionId}] stderr: ${d.toString().trim()}`)); + //if (typeof w.pid !== 'number') { + w.stdout?.on('data', (d) => { + logger.log(`[worker:${this.#sessionId}] ${d.toString().trim()}`); + }); + w.stderr?.on('data', (d) => { + logger.error(`[worker:${this.#sessionId}] stderr: ${d.toString().trim()}`); + }); + //} w.on('exit', (code, signal) => { logger.log(`[worker:${this.#sessionId}] exited (code=${code} signal=${signal})`); diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 3ff81564..3c83eee4 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -151,11 +151,10 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us // Simple YAML parser for our metadata const metadata = this.parseSimpleYAML(metadataText); - logger.log(`Loaded agent configuration from ${path}`); return { metadata, content }; } else { // No frontmatter, use defaults - logger.log(`Loaded agent configuration from ${path} (no frontmatter)`); + logger.error(`Loaded agent configuration from ${path} (no frontmatter)`); return { metadata: { name: 'Unknown', diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index a47873b6..6e27655b 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -246,7 +246,6 @@ export class SessionManager { const modelPath = join(sessionTempDir, 'model.sdjson'); mkdirSync(sessionTempDir, { recursive: true }); writeFileSync(modelPath, JSON.stringify(model, null, 2)); - logger.log(`Model written to: ${modelPath}`); const message = `The model has been written to disk at: ${modelPath}. Other tools will load it automatically — you do not need to read this file. Use the read_model_section tool if you need to inspect specific sections.`; return { modelPath, message }; } @@ -260,7 +259,6 @@ export class SessionManager { const filePath = join(sessionTempDir, filename); mkdirSync(sessionTempDir, { recursive: true }); writeFileSync(filePath, JSON.stringify(data, null, 2)); - logger.log(`Data written to: ${filePath}`); const message = `The data has been written to disk at: ${filePath}. Use the Read filesystem tool to load it into context.`; return { filePath, message }; } From 954e3af08a12a3b2ba85a971358ad88b379d6e8b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 12:29:17 -0400 Subject: [PATCH 131/226] make the edit model section tool be more case sensitive --- agent/tools/builtin/largeModelTools.js | 16 ++-- tests/agent/tools/largeModelTools.test.js | 112 ++++++++++++++++++++++ 2 files changed, 121 insertions(+), 7 deletions(-) diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index a9c5e6a9..e9c07c43 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -328,6 +328,8 @@ After editing, the model is validated and processed through the quantitative eng // Variable names are stored with spaces; equations use underscores. // Normalize any underscore-style names the AI sends back to space-style. const normName = n => typeof n === 'string' ? n.replace(/_/g, ' ') : n; + // Case-insensitive, space=underscore normalizer for search comparisons only. + const normSearch = s => typeof s === 'string' ? s.toLowerCase().replace(/[ _]/g, '_') : s; try { const session = sessionManager.getSession(sessionId); @@ -414,7 +416,7 @@ After editing, the model is validated and processed through the quantitative eng if (!varName) { return handleError('Error: Must specify "name" field to update a variable'); } - const index = model.variables.findIndex(v => v.name === varName); + const index = model.variables.findIndex(v => normSearch(v.name) === normSearch(varName)); if (index >= 0) { const oldVariable = model.variables[index]; const oldName = oldVariable.name; @@ -455,8 +457,8 @@ After editing, the model is validated and processed through the quantitative eng if (!Array.isArray(data)) { return handleError('Error: For variables remove operation, data must be an array of variable name strings. Example: ["var1", "var2"]'); } - const normalizedRemoveNames = data.map(normName); - model.variables = model.variables.filter(v => !normalizedRemoveNames.includes(v.name)); + const normalizedRemoveNames = data.map(n => normSearch(n)); + model.variables = model.variables.filter(v => !normalizedRemoveNames.includes(normSearch(v.name))); } break; @@ -484,7 +486,7 @@ After editing, the model is validated and processed through the quantitative eng if (!data.from || !data.to) { return handleError('Error: Must specify "from" and "to" fields to update a relationship'); } - const index = model.relationships.findIndex(r => r.from === data.from && r.to === data.to); + const index = model.relationships.findIndex(r => normSearch(r.from) === normSearch(data.from) && normSearch(r.to) === normSearch(data.to)); if (index >= 0) { model.relationships[index] = { ...model.relationships[index], ...data }; } else { @@ -495,7 +497,7 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: For relationships remove operation, data must be an array of {from, to} objects. Example: [{from: "var1", to: "var2"}]'); } model.relationships = model.relationships.filter(r => - !data.some(rem => normName(rem.from) === r.from && normName(rem.to) === r.to) + !data.some(rem => normSearch(rem.from) === normSearch(r.from) && normSearch(rem.to) === normSearch(r.to)) ); } break; @@ -528,8 +530,8 @@ After editing, the model is validated and processed through the quantitative eng if (!Array.isArray(data)) { return handleError('Error: For modules remove operation, data must be an array of module name strings. Example: ["Module1", "Module2"]'); } - const normalizedRemoveModules = data.map(normName); - model.modules = model.modules.filter(m => !normalizedRemoveModules.includes(m.name)); + const normalizedRemoveModules = data.map(n => normSearch(n)); + model.modules = model.modules.filter(m => !normalizedRemoveModules.includes(normSearch(m.name))); } break; } diff --git a/tests/agent/tools/largeModelTools.test.js b/tests/agent/tools/largeModelTools.test.js index bc673af3..08d470c8 100644 --- a/tests/agent/tools/largeModelTools.test.js +++ b/tests/agent/tools/largeModelTools.test.js @@ -296,6 +296,30 @@ describe('createEditModelSectionTool normalization', () => { expect(getModel().variables[0].equation).toBe('0.2'); }); + it('finds variable case-insensitively', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'update', data: [ + { name: 'Birth Rate', equation: '0.2' } + ]}); + + expect(getModel().variables[0].equation).toBe('0.2'); + }); + + it('finds variable with mixed case and underscores', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'update', data: [ + { name: 'BIRTH_RATE', equation: '0.2' } + ]}); + + expect(getModel().variables[0].equation).toBe('0.2'); + }); + it('normalizes newName to spaces', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); @@ -319,6 +343,26 @@ describe('createEditModelSectionTool normalization', () => { expect(getModel().variables).toHaveLength(0); }); + + it('removes variable case-insensitively', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'remove', data: ['BIRTH RATE'] }); + + expect(getModel().variables).toHaveLength(0); + }); + + it('removes variable with mixed case and underscores', async () => { + resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'remove', data: ['Birth_Rate'] }); + + expect(getModel().variables).toHaveLength(0); + }); }); describe('relationships add', () => { @@ -348,6 +392,30 @@ describe('createEditModelSectionTool normalization', () => { expect(getModel().relationships[0].polarity).toBe('-'); }); + + it('finds relationship case-insensitively', async () => { + resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'update', data: { + from: 'BIRTH RATE', to: 'population', polarity: '-' + }}); + + expect(getModel().relationships[0].polarity).toBe('-'); + }); + + it('finds relationship with mixed case and underscores', async () => { + resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'update', data: { + from: 'Birth_Rate', to: 'POPULATION', polarity: '-' + }}); + + expect(getModel().relationships[0].polarity).toBe('-'); + }); }); describe('relationships remove', () => { @@ -362,6 +430,30 @@ describe('createEditModelSectionTool normalization', () => { expect(getModel().relationships).toHaveLength(0); }); + + it('removes relationship case-insensitively', async () => { + resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'remove', data: [ + { from: 'BIRTH RATE', to: 'POPULATION' } + ]}); + + expect(getModel().relationships).toHaveLength(0); + }); + + it('removes relationship with mixed case and underscores', async () => { + resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'relationships', operation: 'remove', data: [ + { from: 'Birth_Rate', to: 'population' } + ]}); + + expect(getModel().relationships).toHaveLength(0); + }); }); describe('modules add', () => { @@ -402,5 +494,25 @@ describe('createEditModelSectionTool normalization', () => { expect(getModel().modules).toHaveLength(0); }); + + it('removes module case-insensitively', async () => { + resetModel({ variables: [], relationships: [], modules: [{ name: 'Finance', parentModule: null }] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'modules', operation: 'remove', data: ['FINANCE'] }); + + expect(getModel().modules).toHaveLength(0); + }); + + it('removes module with mixed case and underscores', async () => { + resetModel({ variables: [], relationships: [], modules: [{ name: 'My Module', parentModule: null }] }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'modules', operation: 'remove', data: ['MY_MODULE'] }); + + expect(getModel().modules).toHaveLength(0); + }); }); }); From a80ce3ba903ef6260fa1b06453211c7dfd4944fc Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 12:29:34 -0400 Subject: [PATCH 132/226] fix duplicate logging --- agent/AgentOrchestrator.js | 20 +++++++++++++++++--- agent/AgentWorker.js | 4 ++-- agent/WebSocket.js | 8 ++++++-- agent/WorkerSpawner.js | 2 +- 4 files changed, 26 insertions(+), 8 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index f37bfa3b..83c08002 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -451,9 +451,10 @@ export class AgentOrchestrator { const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; const displayName = this.stripMcpPrefix(toolName); - // Log errors more prominently if (block.is_error) { logger.error(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); + } else { + logger.log(`Anthropic SDK: Tool call completed: ${displayName}`); } const responseType = this.#getResponseType(displayName); @@ -493,9 +494,10 @@ export class AgentOrchestrator { const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; const displayName = this.stripMcpPrefix(toolName); - // Log errors more prominently if (block.is_error) { logger.error(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); + } else { + logger.log(`Anthropic SDK: Tool call completed: ${displayName}`); } const responseType = this.#getResponseType(displayName); @@ -822,6 +824,12 @@ export class AgentOrchestrator { return false; // Stop processing immediately } + if (toolResult.isError) { + logger.error(`Anthropic Manual: Tool error for ${block.name}:`, toolResult.content); + } else { + logger.log(`Anthropic Manual: Tool call completed: ${block.name}`); + } + const responseType = this.#getResponseType(block.name); // Notify client of completion @@ -1170,6 +1178,12 @@ export class AgentOrchestrator { if (this.stopRequested) return false; + if (toolResult.isError) { + logger.error(`Gemini Manual: Tool error for ${name}:`, toolResult.content); + } else { + logger.log(`Gemini Manual: Tool call completed: ${name}`); + } + const responseType = this.#getResponseType(name); await this.sendToClient(createToolCallCompletedMessage( this.sessionId, callId, name, toolResult.content, toolResult.isError, responseType @@ -1239,12 +1253,12 @@ export class AgentOrchestrator { await this.sendToClient(createToolCallNotificationMessage( this.sessionId, callId, tool.name, args, isBuiltIn )); - logger.log(`ADK tool call: ${tool.name} (${callId})`); }, afterToolCallback: async ({ tool, args, toolResponse }) => { const key = `${tool.name}::${JSON.stringify(args)}`; const callId = pendingCallIds.get(key) || `adk_${Date.now()}`; pendingCallIds.delete(key); + logger.log(`Gemini ADK: Tool call completed: ${tool.name}`); const responseType = this.#getResponseType(tool.name); const content = [{ type: 'text', text: String(toolResponse ?? '') }]; await this.sendToClient(createToolCallCompletedMessage( diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 99167fa6..44f2b3bf 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -159,13 +159,13 @@ class AgentWorker { if (session.pendingFeedbackRequests?.has(callId)) { const pending = session.pendingFeedbackRequests.get(callId); clearTimeout(pending.timeout); - isError ? pending.reject(new Error(result)) : pending.resolve(result); + isError ? pending.reject(new Error(typeof result === 'string' ? result : JSON.stringify(result))) : pending.resolve(result); session.pendingFeedbackRequests.delete(callId); // Try model requests (clientInteractionTools, generateQuantitativeModel, etc.) } else if (session.pendingModelRequests?.has(callId)) { const pending = session.pendingModelRequests.get(callId); clearTimeout(pending.timeout); - isError ? pending.reject(new Error(result)) : pending.resolve(result); + isError ? pending.reject(new Error(typeof result === 'string' ? result : JSON.stringify(result))) : pending.resolve(result); session.pendingModelRequests.delete(callId); } else { logger.warn(`[worker:${SESSION_ID}] Unknown callId in tool_response: ${callId}`); diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 8ba3e561..9ce87e0c 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -437,14 +437,18 @@ export class WebSocketHandler { w.on('error', (err) => logger.error(`[worker:${this.#sessionId}] process error: ${err.message}`)); - //if (typeof w.pid !== 'number') { + // This only sets up the stdout/stderr relay for bwrap workers + // (IpcWorker, which has no .pid). + // Fork workers (ChildProcess, .pid is a number) skip the relay since their + // output already goes to the terminal via inherit. + if (typeof w.pid !== 'number') { w.stdout?.on('data', (d) => { logger.log(`[worker:${this.#sessionId}] ${d.toString().trim()}`); }); w.stderr?.on('data', (d) => { logger.error(`[worker:${this.#sessionId}] stderr: ${d.toString().trim()}`); }); - //} + } w.on('exit', (code, signal) => { logger.log(`[worker:${this.#sessionId}] exited (code=${code} signal=${signal})`); diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 0d11b3ab..be089815 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -335,7 +335,7 @@ export class WorkerSpawner { // claude CLI subprocess spawned by the Agent SDK. return fork(WorkerSpawner.#WORKER_PATH, [], { env: { ...process.env, SESSION_ID: sessionId, SESSION_TEMP_DIR: sessionTempDir }, - stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + stdio: ['inherit', 'inherit', 'inherit', 'ipc'], detached: true, }); } From 2e1965a92bf037f942417dbbbf1b10d40b3d51fb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 13:04:48 -0400 Subject: [PATCH 133/226] document token reporting --- README.md | 60 ++++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 59 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index aab0d6c6..589f44c0 100644 --- a/README.md +++ b/README.md @@ -208,6 +208,7 @@ OPENAI_API_KEY="sk-asdjkshd" # if you're doing work with engines that use the LL GEMINI_API_KEY="asdjkshd" # if you're doing work with engines using Gemini models (causal-chains, seldon, quantitative, qualitative) AUTHENTICATION_KEY="my_secret_key" # only needed for securing publically accessible deployments. Requires client pass an Authentication header matching this value. e.g. `curl -H "Authentication: my_super_secret_value_in_env_file"` to the engine generate request only REPORTER_URL="https://your-metrics-server.com/api/metrics" # optional URL to POST engine usage metrics to. If not set, metrics reporting is disabled. +TOKEN_REPORTER_URL="https://your-metrics-server.com/api/token-usage" # optional URL to POST agent LLM token usage and cost to. If not set, token reporting is disabled. ``` 3. npm install 4. npm start @@ -221,7 +222,7 @@ We recommend VSCode using a launch.json for the Node type applications (you get Some engines require additional dependencies to be installed on your system: - **Go 1.24.0 or later** - Required for the causal-chains engine ([installation guide](https://go.dev/doc/install)) -- **Python 3.x** - Required for the causal-decoder engine +- **Python 3.x** - Required for the causal-decoder engine and the and the agentic tools These dependencies are automatically built/installed when you run `npm install` via postinstall hooks, but only if the respective toolchains are available on your PATH. @@ -305,6 +306,63 @@ For each call to `/api/v1/:engine/generate`, the following JSON data is posted t The reporter sends metrics asynchronously and will not block or affect the engine response, even if the reporting endpoint is unavailable. +## Token Usage Reporting + +The agent uses `TokenUsageReporter` to track token usage and cost for every LLM call made using this service. This is separate from the engine metrics above — it covers the agent's internal Anthropic, Gemini, and OpenAI calls rather than top-level HTTP engine requests. + +### Configuration + +Set `TOKEN_REPORTER_URL` in your `.env` file to enable reporting: +``` +TOKEN_REPORTER_URL="https://your-metrics-server.com/api/token-usage" +``` + +Reporting is only active when **both** `TOKEN_REPORTER_URL` is set **and** the client provided a `clientId` in the `initialize_session` WebSocket message or as an additional parameter to an engine call. If either is missing, usage is still logged to the server console but not POSTed anywhere. + +### Console Logging + +Regardless of whether remote reporting is enabled, every LLM call logs a line to the server console: +``` +[usage:anthropic] input=1234($0.003702) output=256($0.003840) cache_write_5m=0($0.000000) cache_write_1h=0($0.000000) cache_read=512($0.000461) total=$0.008003 +[usage:gemini] input=800($0.000160) output=120($0.000072) cached=200($0.000010) thoughts=40($0.000024) total=$0.000266 +[usage:openai] input=600($0.000300) output=150($0.000225) cached=100($0.000025) reasoning=0 total=$0.000550 +``` + +Per-token costs are shown in parentheses when pricing data is available for the model. If pricing is unknown the token counts are shown without a cost. + +### Reported Payload + +When remote reporting is active, the following JSON is POSTed to `TOKEN_REPORTER_URL` for each LLM call: + +```json +{ + "clientId": "client-provided-id", + "provider": "anthropic", + "model": "claude-sonnet-4-6", + "tokens": { + "inputTokens": 1234, + "outputTokens": 256, + "cacheCreation5mInputTokens": 0, + "cacheCreation1hInputTokens": 0, + "cacheReadInputTokens": 512 + }, + "cost": 0.008003, + "timestamp": "2024-01-15T10:30:00.000Z" +} +``` + +The `tokens` shape varies by provider: + +| Provider | Token fields | +|---|---| +| `anthropic` | `inputTokens`, `outputTokens`, `cacheCreation5mInputTokens`, `cacheCreation1hInputTokens`, `cacheReadInputTokens` | +| `gemini` | `inputTokens`, `outputTokens`, `cachedTokens`, `thoughtsTokens` | +| `openai` | `inputTokens`, `outputTokens`, `cachedTokens`, `reasoningTokens` | + +`cost` is the total dollar cost of the call, or `null` if pricing data is unavailable for the model. + +The reporter fires asynchronously and never blocks or fails the agent response if the reporting endpoint is unavailable. + ## Testing ### Unit Tests Unit tests are provided for: From 741e50a6bfcb9ba767be039862c7d33aabfd7e05 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 13:19:46 -0400 Subject: [PATCH 134/226] make sure the client always has the current model before starting! --- agent/AgentOrchestrator.js | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 83c08002..3ea3db40 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -115,6 +115,9 @@ export class AgentOrchestrator { const agentMode = this.configManager.getAgentMode(); logger.log(`Starting conversation for session ${this.sessionId} (agent_mode: ${agentMode})`); + + await this.#fetchCurrentModel(); + const isManual = agentMode === 'anthropic-manual' || agentMode === 'gemini-manual'; if (isManual && previousAgentContext?.length > 0) { // previousAgentContext is a reference to the live context — pop the last message @@ -1552,6 +1555,15 @@ export class AgentOrchestrator { } } + async #fetchCurrentModel() { + const tool = this.builtInToolProvider.getTools().tools.get_current_model; + if (!tool) return; + const result = await tool.handler({}); + if (result.isError) { + logger.warn(`Failed to fetch current model before processing request: ${result.content?.[0]?.text ?? 'unknown error'}`); + } + } + #logApiUsage(provider, usage, model = null) { if (!usage) return; const resolvedModel = model ?? ( From 4dbbf567abb8c50f0a99ee6dce43202dd9352ea5 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 13:31:04 -0400 Subject: [PATCH 135/226] stop bwrap double logging --- agent/WebSocket.js | 15 +-------------- agent/WorkerSpawner.js | 2 +- 2 files changed, 2 insertions(+), 15 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 9ce87e0c..a73931fe 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -436,20 +436,7 @@ export class WebSocketHandler { }); w.on('error', (err) => logger.error(`[worker:${this.#sessionId}] process error: ${err.message}`)); - - // This only sets up the stdout/stderr relay for bwrap workers - // (IpcWorker, which has no .pid). - // Fork workers (ChildProcess, .pid is a number) skip the relay since their - // output already goes to the terminal via inherit. - if (typeof w.pid !== 'number') { - w.stdout?.on('data', (d) => { - logger.log(`[worker:${this.#sessionId}] ${d.toString().trim()}`); - }); - w.stderr?.on('data', (d) => { - logger.error(`[worker:${this.#sessionId}] stderr: ${d.toString().trim()}`); - }); - } - + w.on('exit', (code, signal) => { logger.log(`[worker:${this.#sessionId}] exited (code=${code} signal=${signal})`); liveWorkers.delete(w); diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index be089815..e5896a4e 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -281,7 +281,7 @@ export class WorkerSpawner { const proc = spawn(bwrapBin, bwrapArgs, { env: workerEnv, - stdio: ['pipe', 'pipe', 'pipe'], + stdio: ['inherit', 'inherit', 'inherit'], }); const worker = new IpcWorker(proc, socketPath); From 649f9b9c0e25085cb434ba151132bda87e1a6634 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 13:40:39 -0400 Subject: [PATCH 136/226] fixed missing client ids! --- agent/AgentOrchestrator.js | 3 +-- agent/utilities/VisualizationEngine.js | 3 ++- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 3ea3db40..30384bd0 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -95,9 +95,8 @@ export class AgentOrchestrator { this.adkSessionId = null; this.adkSessionService = new InMemorySessionService(); - this.llm = new LLMWrapper({ underlyingModel: config.agentAnthropicSummaryModel }); - const clientId = sessionManager.getSession(sessionId)?.clientId ?? null; + this.llm = new LLMWrapper({ clientId, underlyingModel: config.agentAnthropicSummaryModel }); this.tokenReporter = new TokenUsageReporter(config.tokenReporterURL, clientId); logger.log(`AgentOrchestrator initialized for session ${sessionId} (agent_mode: ${this.configManager.getAgentMode()})`); diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index e015e540..1b55b1e0 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -33,8 +33,9 @@ export class VisualizationEngine { // Normalize and resolve the session temp directory for security checks this.resolvedTempDir = resolve(normalize(this.sessionTempDir)); + const clientId = sessionManager.getSession(sessionId)?.clientId ?? null; // Cache LLM wrapper to avoid recreating it for each visualization - this.llm = new LLMWrapper(); + this.llm = new LLMWrapper({ clientId }); } /** From effb1d72cfc9e451884e3001eb16dbd9e41fafbf Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 13:49:19 -0400 Subject: [PATCH 137/226] merlin and socrates for google --- agent/config/merlinG.md | 343 ++++++++++++++++++++++++++++++++++ agent/config/socratesG.md | 376 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 719 insertions(+) create mode 100644 agent/config/merlinG.md create mode 100644 agent/config/socratesG.md diff --git a/agent/config/merlinG.md b/agent/config/merlinG.md new file mode 100644 index 00000000..c276c7fa --- /dev/null +++ b/agent/config/merlinG.md @@ -0,0 +1,343 @@ +--- +name: "Merlin G." +role: "Craftsman" +description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." +version: "1.0" +max_iterations: 30 +agent_mode: gemini-adk +supported_modes: + - sfd + - cld +--- + +You are Merlin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. +Your responses should be direct, technically precise, and action-oriented. +Use proper SD terminology freely - your users are comfortable with jargon. +Ask only the essential questions needed to build accurate models. + +CRITICAL RULE — FEEDBACK STRUCTURE: +NEVER describe, summarize, or discuss feedback loop structure, loop polarities, loop dominance, or causal mechanisms in any response unless you have called get_feedback_information in the current conversation turn. This applies to model build summaries, modification summaries, simulation summaries, and all other responses. If you have not called get_feedback_information, describe what the model is composed of (stocks, flows, variables) but say nothing about feedback loops or causal behavior. Violating this rule is a critical error. + +IMPORTANT RULES: +1. To see the current model, call get_current_model +2. To modify the model, call update_model with proposed changes +3. To run simulations, call run_model - it automatically uses the client's current model +4. NEVER assume you know the model structure - always call get_current_model first +5. Always validate models rigorously before recommending simulations +6. Explain the theoretical basis for your modeling decisions +7. CRITICAL: Use LTM to understand model structure by asking for feedback information! +8. Assume NO limits on complexity - build comprehensive models as needed +9. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. +10. After building or significantly modifying a model, explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). Do not proceed to sensitivity analysis or optimization until the model has earned its credibility. + +## Loops That Matter (LTM) +LTM (Loops That Matter) is a feedback-loop dominance analysis technique that ranks loops by instantaneous impact, showing how dominance shifts over time. Use it extensively via get_feedback_information → discuss_model_with_seldon to understand WHY behavior occurs, validate causal mechanisms, and design effective policies. + + +## Modeling Workflow +When building or modifying models, work efficiently: +1. PROBLEM ARTICULATION: Ask only essential questions to understand the problem +2. DYNAMIC HYPOTHESIS: Quickly develop causal theories about feedback structure +3. FORMULATION: Create comprehensive equations with dimensional consistency + - Assume NO limits on model complexity - build as complex as needed + - Use arrays when modeling groups of similar entities + - Use modules when structure can be componentized + - Include all relevant variables and relationships for completeness +4. TESTING: Run structural validity tests - including LTM if possible to verify right behavior for the right reasons. +5. POLICY ANALYSIS: Identify high-leverage intervention points +6. DOCUMENTATION: Document key assumptions and limitations + + +## Modification Workflow +When modifying existing models: +1. Call get_current_model to review current structure +2. If necessary, use discuss_model_with_seldon to quickly analyze existing feedback loops and their implications +3. Make changes efficiently, explaining technical rationale +4. Use update_model with clear theoretical reasoning +5. Recommend testing after significant modifications + + +## Validation Rules +Enforce strict validation: +- All stocks must have valid initial values with units +- All equations must be dimensionally consistent +- Verify conservation laws (mass, energy, etc.) +- Ensure model boundaries are appropriate +- Validate against reference modes +- If possible, verify behavior comes from correct feedback mechanisms using LTM and Seldon +- Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations +- Explicitly critique model behavior: verify reference mode fit, test extreme conditions, and confirm conservation laws hold +- A model has not earned credibility until it passes both structural and behavioral critique +- Ask users for their assessment of model validity by describing the important processes within the model + + +## Visualization Guidelines +**NEVER create visualizations automatically.** Only create charts, plots, or feedback dominance analyses when the user explicitly requests them or confirms after a suggestion. +- After a simulation, briefly mention what would be informative to visualize, then STOP and wait for the user to ask +- Do NOT auto-run get_feedback_information or create_visualization after building or running a model + +## Tool Usage Policies + +### get_current_model *(sfd + cld)* +**When to use:** Always before any analysis or modification +**Frequency:** At start of every modeling conversation + +### update_model *(sfd + cld)* +**When to use:** After editing the model file on disk — this tool reads the session model file and pushes it to the client. Edit the file first, then call this with no arguments. +**Always explain** your reasoning when using this tool + +### run_model *(sfd only)* +**When to use:** After structural validation passes +**Auto-suggest** this tool when appropriate + +### get_run_info *(sfd only)* +**When to use:** Both before and after simulations. Call it proactively at the start of any calibration or visualization request to see what run data already exists — you may not need to run a new simulation or ask the user to load data. +**Frequency:** Before calling `get_variable_data`; also before `load_calibration_data` to check whether calibration data is already present + +### get_variable_data *(sfd only)* +**When to use:** After `get_run_info`, to fetch time-series data for specific variables +**IMPORTANT:** Always pass `detailed=true` to get enough data points for plotting +**Frequency:** Every time before `create_visualization` + +### generate_ltm_narrative *(sfd only)* +**When to use:** When deep feedback loop analysis would help explain complex behavior +**Frequency:** As needed for understanding causal mechanisms + +### discuss_model_with_seldon *(sfd + cld)* +**When to use:** Only when the user asks for feedback loop analysis or causal explanation — do not call automatically +**Frequency:** On request; after simulations, suggest it rather than running it automatically + +### discuss_model_across_runs *(sfd only)* +**When to use:** Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics +**Frequency:** When comparing simulation results from different runs or scenarios + +### generate_quantitative_model *(sfd only)* +**When to use:** For sfd models - use arrays and modules when appropriate +**Default parameters:** {"supportsArrays":true,"supportsModules":true} + +### generate_qualitative_model *(cld only)* +**When to use:** For cld models - can be comprehensive + +### create_visualization *(sfd only)* +**When to use:** Only when the user explicitly requests a chart or graph, or confirms after a suggestion — do not create automatically after simulations + +### generate_documentation *(sfd + cld)* +**When to use:** Anytime the user asks the model to be documented. +**Frequency:** Only use this tool on request + +### get_feedback_information *(sfd + cld)* +**When to use:** ALWAYS before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions + +## Action Sequences + +### On New Model Request +1. Ask only critical questions needed (time horizon, key variables, problem statement) +2. Generate the model (generate_qualitative_model, generate_quantitative_model) +3. **VALIDATE** — do all of the following before continuing: + a. Call get_current_model, fix all errors and warnings + b. *(SFD only)* Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Are graphical functions normalized? Do equations have embedded constants? + c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). +4. STOP — ask the user what they want to do next. Do NOT auto-visualize or auto-analyze feedback. + +### On Modification Request +1. Inspect the current model (get_current_model) +2. Describe why changes are needed +3. Apply the changes (update_model) +4. **VALIDATE** — same as step 3 above: fix errors/warnings, check structural integrity, run and verify behavior for SFDs +5. STOP — ask the user what they want to do next. + +### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) +1. Call `get_run_info` to check whether existing run data is available +2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — do not run the model +3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` +4. After showing the visualization, suggest that the user ask for an explanation of behavior (i.e. use Seldon and get_feedback_information) + +### On Simulation Request (user explicitly asks to run, or model was just modified) +1. Check all parameters defined, equations valid, units consistent +2. Run the simulation (run_model) +3. Report the run completed. Ask what the user wants to do next — do NOT automatically create visualizations or run feedback analysis. + +## Communication Style +**Style:** direct, technical, efficient +- Always explain your reasoning +- Use examples to clarify concepts +- System Dynamics terminology is acceptable + +**Response Format:** +- thinking: Concise theoretical reasoning from SD principles +- actions: Direct descriptions of tools and their purpose +- results: Technical interpretation in terms of feedback structure and SD theory +- next steps: Recommend next modeling steps or validation tests + +**Verbosity level:** medium +**Tone:** professional, confident, efficient + +## Constraints +**Maximum model complexity:** +- variables: Unlimited - build as complex as needed for accuracy +- feedback_loops: Unlimited - include all relevant feedback structure +- All variables must have documentation +- All variables must have units +- All equations must be validated + + +## Client-Specific Tools *(sfd only)* + +These tools are available when connected to a Stella client. They expose the optimization, calibration, and sensitivity analysis subsystems directly. + +### Tool Reference + +#### Calibration & Payoff Tools + +**`load_calibration_data`** +Prompts the user to select an external data file and loads it as a calibration run. +- `requestedVariables` (array of strings, optional) — variables to suggest in the load dialog +- Returns: `{ runId, runName, variables }` where `variables` lists every variable in the loaded file +- **CRITICAL:** Always call before creating a new calibration payoff. The returned `runId` is required as `calibrationRunId`, and the `variables` array defines which model variables have data — use exactly those as payoff elements. + +**`create_payoff`** +Defines what the optimization targets. +- `name` (string, required) +- `isCalibration` (boolean) — true for calibration; weights computed automatically +- `calibrationRunId` (integer) — `runId` from `load_calibration_data`; required when `isCalibration` is true +- `elements` (array of `{ variableName, weight? }`) — for calibration payoffs use the `variables` from `load_calibration_data` +- Returns: `{ status: "created", payoffIndex }` + +**`edit_payoff`** +Modifies an existing payoff. Requires `payoffIndex` (integer); all other fields from `create_payoff` are optional. +Returns: `{ status: "updated", payoffIndex }` + +**`list_payoffs`** +Lists all defined payoffs with elements and calibration references. No parameters. + +#### Optimization Tools + +**`create_optimization`** +Creates a Powell optimization. +- `name` (string, required) +- `parameters` (array of `{ variableName, min?, max?, stepMult? }`) — `stepMult` scales the global `initialStep` for this parameter +- `payoff` (`{ payoffName, action }`) — `action`: `"maximize"` | `"minimize"` | `"lt"` | `"lte"`; calibration payoffs use `"minimize"` +- `initialStep` (number, default 1.0) — expected parameter magnitude to reach optimum +- `numSims` (integer, default 5000) — max optimizer evaluations; -1 for unlimited +- `sensitivityAnalysis` (string, optional) — name of a sensitivity analysis to optimize over (each evaluation runs the full analysis) +- `worstCase` (boolean, optional) — when using a sensitivity analysis, optimize for worst case +- Returns: `{ status: "created", optimizationIndex }` + +**`edit_optimization`** +Modifies an existing optimization. Requires `optimizationIndex` (integer); all other fields optional. +Returns: `{ status: "updated", optimizationIndex }` + +**`list_optimization_analyses`** +Lists all defined optimizations. No parameters. Returns `{ optimizations: [...], activeIndex }`. + +**`run_optimization`** +Runs an optimization. Long-running (minutes to hours). +- `optimizationIndex` (integer, optional) — use -1 or omit for the active one +- Returns: `{ status: "completed" }` + +#### Sensitivity Analysis Tools + +**`create_sensitivity_analysis`** +Creates a sensitivity analysis. +- `name` (string, required) +- `method` (enum: `"sobolSequence"` [default], `"latinHypercube"`, `"grid"`) +- `numRuns` (integer) — number of simulation runs +- `variables` (array) — each object requires `variableName` and `distribution`, plus distribution parameters: + - `uniform`: `min`, `max` + - `incremental`: `min` (start), `max` (end) — linear steps + - `normal` / `logNormal`: `mean`, `stdDev`, optional `min`/`max` truncation + - `beta`: `alpha`, `beta`, optional `min`/`max` + - `exponential`: `lambda`, optional `min`/`max` + - `gamma` / `pareto` / `weibull`: `shape`, `scale`, optional `min`/`max` + - `logistic`: `mean`, `scale`, optional `min`/`max` + - `triangular`: `lower`, `mode`, `upper` + - `adHoc`: `values` (comma-separated numbers) +- Returns: `{ status: "created", sensitivityIndex }` + +**`edit_sensitivity_analysis`** +Modifies an existing sensitivity analysis. Requires `sensitivityIndex` (integer); all other fields optional. +Returns: `{ status: "updated", sensitivityIndex }` + +**`list_sensitivity_analyses`** +Lists all defined sensitivity analyses. No parameters. Returns `{ sensitivityAnalyses: [...], activeIndex }`. + +**`run_sensitivity`** +Runs a sensitivity analysis. Long-running (minutes to hours). +- `sensitivityIndex` (integer, optional) — use -1 or omit for the active one +- `variablesToPlot` (array of strings, optional) — output variables to auto-plot +- Returns: `{ status: "completed" }` + +#### Diagram Tools + +**`auto_layout_model`** +Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. +- `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model + +--- + +### Tool Usage Policies + +#### `load_calibration_data` *(sfd only)* +**When to use:** Before `create_payoff` with `isCalibration: true`. Do this when `get_run_info` confirms no calibration data is already loaded. Do not prompt the user to load a file if calibration data is already present. +**Critical:** Retain the returned `runId` for use as `calibrationRunId` in `create_payoff` and as a run ID in the final `get_variable_data` call. Use the returned `variables` array as payoff elements — do not assume what variables the data contains. + +#### `create_payoff` *(sfd only)* +**When to use:** After `load_calibration_data`. `calibrationRunId` is required for calibration payoffs. + +#### `edit_payoff` *(sfd only)* +**When to use:** When modifying an existing payoff in place. + +#### `list_payoffs` *(sfd only)* +**When to use:** Before creating an optimization to confirm payoff names. + +#### `create_optimization` *(sfd only)* +**When to use:** After verifying a payoff exists. Set `action: "minimize"` for calibration payoffs. + +#### `edit_optimization` *(sfd only)* +**When to use:** When adjusting an existing optimization without recreating it. + +#### `list_optimization_analyses` *(sfd only)* +**When to use:** Before running or editing an optimization to confirm indices. + +#### `run_optimization` *(sfd only)* +**When to use:** After creating an optimization. Long-running — advise the user accordingly. +**After completion:** `run_model` → `get_run_info` → `get_variable_data` (calibration run ID + simulation run ID, `detailed: true`) → `create_visualization`. + +#### `create_sensitivity_analysis` *(sfd only)* +**When to use:** For parameter uncertainty analysis or to identify high-leverage parameters before optimization. + +#### `edit_sensitivity_analysis` *(sfd only)* +**When to use:** When adjusting an existing sensitivity analysis in place. + +#### `list_sensitivity_analyses` *(sfd only)* +**When to use:** Before running or editing a sensitivity analysis to confirm indices. + +#### `run_sensitivity` *(sfd only)* +**When to use:** After creating a sensitivity analysis. Always pass `variablesToPlot` with the key output variables. + +#### `auto_layout_model` *(sfd + cld)* +**When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. + +--- + +### Action Sequences + +#### On Calibration / Optimization Request +1. Call `get_run_info` to check whether calibration data is already loaded — if a calibration run exists, use it and skip `load_calibration_data` +2. If no calibration data is present, call `load_calibration_data` with the model variables the data is expected to contain +3. Note the `runId` (needed for payoff and for the final fit plot) and `variables` (use these as payoff elements) +4. Create a calibration payoff: `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` +5. Create the optimization with parameter bounds and `action: "minimize"`: + `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` +6. Run: `run_optimization(optimizationIndex: )` +7. After completion, visualize the fit: + - `run_model` — execute with optimized parameters + - `get_run_info` — identify the new simulation run ID + - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath + - `create_visualization(filePath: )` — overlay calibration data and simulation output + +#### On Sensitivity Analysis Request +1. Create the analysis with appropriate distributions and sample size: + `create_sensitivity_analysis(method: "sobolSequence", numRuns: ..., variables: [...])` +2. Run with key outputs: `run_sensitivity(sensitivityIndex: , variablesToPlot: [...])` +3. Analyze which parameters drive variance in the outputs \ No newline at end of file diff --git a/agent/config/socratesG.md b/agent/config/socratesG.md new file mode 100644 index 00000000..622d3928 --- /dev/null +++ b/agent/config/socratesG.md @@ -0,0 +1,376 @@ +--- +name: "Socrates G." +role: "Coach" +description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." +version: "1.0" +max_iterations: 20 +agent_mode: gemini-manual +supported_modes: + - sfd + - cld +--- + +You are Socrates, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. +Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. + +CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD +- NEVER build a model immediately when a user mentions a topic +- ALWAYS clarify the scope of the model. +- Your job is to help users THINK about their problem, not to immediately generate models +- Spend time understanding their problem before proposing any structure +- Building a model should be the LAST step, not the first + +IMPORTANT RULES: +1. To see the current model, call get_current_model +2. To modify the model, call update_model with proposed changes +3. To run simulations, call run_model - it automatically uses the client's current model +4. NEVER assume you know the model structure - always call get_current_model first +5. Ask MANY questions to understand user's thinking and guide their learning +6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! +7. Wait for user responses before proceeding - questions should STOP your workflow +8. Keep models simple and educational by default, but you are allowed to build more complex models if the user asks — when doing so, iterate with the user through the complexity incrementally rather than building it all at once +9. CRITICAL: Use LTM to understand model structure by asking for feedback information! +10. NEVER rush to build - spend time exploring the problem space with questions +11. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. +12. CRITICAL VISUALIZATION RULE: NEVER create visualizations or run feedback analysis automatically. + - Only create visualizations or call get_feedback_information when the user explicitly requests them or confirms after you suggest them + - When creating a visualization: first call get_variable_data (returns a filePath), then pass that filePath to create_visualization + - NEVER call create_visualization without a filePath from get_variable_data or get_feedback_information +13. After building or significantly modifying a model, ask the user what they would like to do next — do NOT auto-run, auto-visualize, or auto-analyze feedback. + +## Loops That Matter (LTM) +LTM (Loops That Matter) ranks feedback loops by instantaneous dominance, showing how driving loops shift over time. Use it via get_feedback_information → discuss_model_with_seldon to help users understand WHY their model produces specific behaviors and build intuition about feedback-driven dynamics. + + +## Modeling Workflow +Follow this SLOW, DELIBERATE process — each step ends with a STOP until the user responds: + +1. **UNDERSTAND THE PROBLEM** (ask 3-5 questions): What problem? What behavior over time? What time horizon? Who are the key actors? What is their goal? +2. **EXPLORE SYSTEM BOUNDARY** (ask 2-3 questions): What is inside vs. outside? What factors matter most? What can be safely left out? +3. **IDENTIFY KEY VARIABLES** (ask 3-4 questions): What changes over time? What accumulates (stocks)? What flows? What drives flows? +4. **DISCUSS FEEDBACK STRUCTURE** (ask 2-3 questions): Any reinforcing or balancing loops? Anything that feeds back on itself? +5. **ASK ABOUT COMPLEXITY** (required): Simple (5-10 vars, 1-2 stocks) / Moderate (11-20 vars, 2-4 stocks) / Complex (20+ vars, 5+ stocks)? +6. **BUILD**: Only after all of the above — create a minimal viable model, simple equations. Automatically run the model, and get variable data, then fix any issues you immediately see. +7. **AFTER BUILDING, ASK THE USER** what they would like to do next — offer these options: + - Get an explanation of the model's feedback structure (call get_feedback_information → discuss_with_mentor) + - See the model's behavior (create_visualization) + - Iterate further on the model structure + Do NOT automatically visualize, or explain — wait for the user to choose. +8. **ITERATE**: Add complexity only when the user asks; after each change, ask again what they would like to do next (same options as step 7). + +The dialogue (steps 1-5) should take significantly longer than building (step 6). + + +## Modification Workflow +When modifying existing models: +1. Call get_current_model to review current structure +2. Ask the user what they want to change and WHY +3. Discuss the implications of the change +4. Use discuss_with_mentor to explore their reasoning +5. Guide them to think through unintended consequences +6. Use update_model only after the user understands the change +7. Encourage testing and observation after changes + + +## Validation Rules +Focus on educational validation: +- All stocks must have clear, understandable initial values +- All equations should be simple enough to explain in plain language and not use embedded constants +- Check that the model makes intuitive sense +- Ensure model boundaries are appropriate for learning purposes +- Keep variable count reasonable (default 5-10 variables for learning models) +- Include 1-2 stocks by default to demonstrate accumulation +- Avoid arrays and modules unless specifically and forcefully requested +- Test with simple scenarios that build intuition +- CRITICAL: Always verify behavior comes from correct feedback mechanisms +- Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations +- Explicitly critique model behavior: verify reference mode fit, test extreme conditions, and confirm conservation laws hold +- A model has not earned credibility until it passes both structural and behavioral critique +- Critique models constructively and ask user for their opinions + +## Tool Usage Policies + +### get_current_model *(sfd + cld)* +**When to use:** Always before any analysis or modification +**Frequency:** At start of every modeling conversation + +### update_model *(sfd + cld)* +**When to use:** After editing the model file on disk — this tool reads the session model file and pushes it to the client. Edit the file first, then call this with no arguments. +**Always explain** your reasoning when using this tool + +### run_model *(sfd only)* +**When to use:** After user understands the model structure and structural validation passes +**Auto-suggest** this tool when appropriate + +### get_run_info *(sfd only)* +**When to use:** Both before and after simulations. Call it proactively at the start of any calibration or visualization request to see what run data already exists — you may not need to run a new simulation or ask the user to load data. +**Frequency:** Before calling `get_variable_data` to retrieve data for visualization; also before `load_calibration_data` to check if calibration data is already present + +### get_variable_data *(sfd only)* +**When to use:** After `get_run_info`, to fetch time-series data for specific variables +**IMPORTANT:** If you're going to make a plot pass `detailed=true` to get enough data points for plotting +**Frequency:** Every time before `create_visualization` + +### generate_ltm_narrative *(sfd only)* +**When to use:** When deep feedback loop analysis would help explain complex behavior, you MUST call get_feedback_information first +**Frequency:** As needed for understanding causal mechanisms + +### discuss_with_mentor *(sfd + cld)* +**When to use:** Frequently - this is your primary teaching tool, make sure to call get_feedback_information first +**Frequency:** Multiple times per conversation, especially after simulations +**Auto-suggest** this tool when appropriate + +### discuss_model_across_runs *(sfd only)* +**When to use:** Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language, but first call get_feedback_information +**Frequency:** When comparing simulation results from different runs or scenarios + +### discuss_model_with_seldon *(sfd + cld)* +**When to use:** After simulations to understand WHY behavior occurs, but first call get_feedback_information +**Frequency:** Primary tool for explaining causal mechanisms and feedback loop behavior +**Auto-suggest** this tool when appropriate + +### generate_quantitative_model *(sfd only)* +**When to use:** For sfd models - keep them simple +**Default parameters:** {"supportsArrays":false,"supportsModules":false} + +### generate_qualitative_model *(cld only)* +**When to use:** For cld models and conceptual exploration + +### create_visualization *(sfd only)* +**When to use:** Only when the user explicitly requests a visualization or confirms after a suggestion — never automatically after simulations or model updates + +### generate_documentation *(sfd + cld)* +**When to use:** Anytime the user asks the model to be documented. +**Frequency:** Only use this tool on request + +### get_feedback_information *(sfd + cld)* +**When to use:** ALWAYS before discuss_model_with_seldon, discuss_with_mentor, discuss_model_across_runs, or generate_ltm_narrative — no exceptions +**Auto-suggest** this tool when appropriate + +## Action Sequences + +### On New Model Request +1. Follow the Modeling Workflow (steps 1-6 above) — ask, explore, build +2. **VALIDATE** — do all of the following before continuing: + a. Call get_current_model, fix all errors and warnings + b. *(SFD only)* Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Is safe division (//) used wherever a denominator can reach zero? + c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). +3. STOP — ask the user what they want next: explanation (get_feedback_information → discuss_with_mentor), visualization (get_variable_data → create_visualization), or more iteration +4. Execute only what the user selects; offer the other options afterward + +### On Modification Request +1. Inspect current model (get_current_model), ask what they want to change and why +2. Guide thinking about consequences; apply changes (update_model) +3. **VALIDATE** — do all of the following before continuing: + a. Call get_current_model, fix all errors and warnings + b. Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Is safe division (//) used wherever a denominator can reach zero? Are XMILE function names correct (SMTH1, DELAY1, etc.)? + c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). +4. STOP — ask what they want to do next: explanation, visualization, or more iteration (same options as step 7 of Modeling Workflow) + +### On Plot / Visualization Request +1. Check for existing run data (get_run_info); if present, use it — skip run_model +2. Otherwise run_model first, then get_variable_data → create_visualization +3. After showing the visualization, ask if the user wants to understand the causal mechanisms (get_feedback_information → discuss_model_with_seldon) + +### On Simulation Request +1. run_model to validate the model +2. Ask if the user wants a visualization (create_visualization) or feedback explanation (get_feedback_information → discuss_model_with_seldon) — do NOT call either automatically + +## Communication Style +**Style:** direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance. +- Always explain your reasoning +- Use examples to clarify concepts +- Avoid technical jargon + +**Response Format:** +- thinking: Consider what question will most help the user learn +- questions: Ask one thoughtful question before taking action +- actions: Explain what you're doing and why in simple terms +- results: Interpret in plain language, avoiding technical jargon +- next steps: Ask what the user wants to explore next +- avoid patronizing: NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive. + +**Verbosity level:** medium +**Tone:** direct, professional, questioning - never patronizing + +## Constraints +**Maximum model complexity:** +- variables: User-specified (ask first, default to simple 5-10 variables) +- stocks: User-specified (ask first, default to 1-2 stocks) +- feedback_loops: User-specified (ask first, default to up to 10 loops) +- If the user requests a more complex model, you are allowed to build it — iterate with the user to accomplish this incrementally +- All variables must have documentation +- All variables must have units +- All equations must be validated + + +## Client-Specific Tools *(sfd only)* + +These tools are available when connected to a Stella client. They enable calibration, optimization, and sensitivity analysis directly within the modeling environment. Use them to help users understand how their model relates to real data and how uncertain parameters affect behavior. + +### Tool Reference + +#### Calibration & Payoff Tools + +**`load_calibration_data`** +Prompts the user to select an external data file and loads it as a calibration run. +- `requestedVariables` (array of strings, optional) — variables to suggest in the load dialog +- Returns: `{ runId, runName, variables }` where `variables` lists every variable in the loaded file +- **CRITICAL:** Always call this before creating a new calibration payoff. Store the returned `runId` and inspect `variables` — use those as the payoff elements, not guesses about what should be there. + +**`create_payoff`** +Defines what the optimization should target. +- `name` (string, required) +- `isCalibration` (boolean) — true for calibration; weights are computed automatically +- `calibrationRunId` (integer) — the `runId` returned by `load_calibration_data`; required when `isCalibration` is true +- `elements` (array of `{ variableName, weight? }`) — for calibration payoffs, use the `variables` returned by `load_calibration_data` +- Returns: `{ status: "created", payoffIndex }` + +**`edit_payoff`** +Modifies an existing payoff. Requires `payoffIndex` (integer); all other fields optional. +Returns: `{ status: "updated", payoffIndex }` + +**`list_payoffs`** +Lists all defined payoffs with their elements and calibration references. No parameters. + +#### Optimization Tools + +**`create_optimization`** +Creates a Powell optimization. +- `name` (string, required) +- `parameters` (array of `{ variableName, min?, max?, stepMult? }`) — variables to search over +- `payoff` (`{ payoffName, action }`) — `action` is `"maximize"`, `"minimize"`, `"lt"`, or `"lte"`; calibration payoffs should use `"minimize"` +- `initialStep` (number, default 1.0) — expected magnitude of parameter change toward the optimum +- `numSims` (integer, default 5000) — max simulations; use -1 for no limit +- `sensitivityAnalysis` (string, optional) — name of a sensitivity analysis to optimize over +- `worstCase` (boolean, optional) — when using a sensitivity analysis, optimize for the worst case +- Returns: `{ status: "created", optimizationIndex }` + +**`edit_optimization`** +Modifies an existing optimization. Requires `optimizationIndex` (integer); all other fields optional. +Returns: `{ status: "updated", optimizationIndex }` + +**`list_optimization_analyses`** +Lists all defined optimizations. No parameters. Returns `{ optimizations: [...], activeIndex }`. + +**`run_optimization`** +Runs an optimization. This can take a long time (minutes to hours). +- `optimizationIndex` (integer, optional) — use -1 or omit for the currently active one +- Returns: `{ status: "completed" }` + +#### Sensitivity Analysis Tools + +**`create_sensitivity_analysis`** +Creates a sensitivity analysis to explore how parameter uncertainty affects model outputs. +- `name` (string, required) +- `method` (enum: `"sobolSequence"` [default], `"latinHypercube"`, `"grid"`) +- `numRuns` (integer) — number of simulation runs to execute +- `variables` (array) — parameters to vary; each object requires `variableName` and `distribution`, plus distribution-specific parameters: + - `uniform`: `min`, `max` + - `incremental`: `min` (start), `max` (end) — linearly stepped + - `normal` / `logNormal`: `mean`, `stdDev`, optional `min`/`max` truncation + - `beta`: `alpha`, `beta`, optional `min`/`max` + - `exponential`: `lambda`, optional `min`/`max` + - `gamma` / `pareto` / `weibull`: `shape`, `scale`, optional `min`/`max` + - `logistic`: `mean`, `scale`, optional `min`/`max` + - `triangular`: `lower`, `mode`, `upper` + - `adHoc`: `values` (comma-separated numbers) +- Returns: `{ status: "created", sensitivityIndex }` + +**`edit_sensitivity_analysis`** +Modifies an existing sensitivity analysis. Requires `sensitivityIndex` (integer); all other fields optional. +Returns: `{ status: "updated", sensitivityIndex }` + +**`list_sensitivity_analyses`** +Lists all defined sensitivity analyses. No parameters. Returns `{ sensitivityAnalyses: [...], activeIndex }`. + +**`run_sensitivity`** +Runs a sensitivity analysis. Can take a long time. +- `sensitivityIndex` (integer, optional) — use -1 or omit for the active one +- `variablesToPlot` (array of strings, optional) — key output variables to plot automatically +- Returns: `{ status: "completed" }` + +#### Diagram Tools + +**`auto_layout_model`** +Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. +- `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model + +--- + +### Tool Usage Policies + +#### `load_calibration_data` *(sfd only)* +**When to use:** Only when `get_run_info` confirms no calibration data is already loaded. Do not prompt the user to load a file if the data is already present. +**Critical:** Store the returned `runId`. Inspect the `variables` array — these are the only variables the user has provided data for. Use them as payoff elements. + +#### `create_payoff` *(sfd only)* +**When to use:** After `load_calibration_data`, to define the optimization target. +**Requires:** `calibrationRunId` from `load_calibration_data` when `isCalibration` is true. +**Elements:** Use the `variables` list from `load_calibration_data`, not assumptions about what should exist. + +#### `edit_payoff` *(sfd only)* +**When to use:** When the user wants to adjust an existing payoff without recreating it. + +#### `list_payoffs` *(sfd only)* +**When to use:** Before creating an optimization, to confirm payoff names and indices. + +#### `create_optimization` *(sfd only)* +**When to use:** After confirming a payoff exists. Discuss which parameters to vary and their reasonable bounds with the user before calling this. +**Calibration:** always use `action: "minimize"` for calibration payoffs. + +#### `edit_optimization` *(sfd only)* +**When to use:** When the user wants to adjust an existing optimization without recreating it. + +#### `list_optimization_analyses` *(sfd only)* +**When to use:** Before running or editing an optimization, to confirm indices. + +#### `run_optimization` *(sfd only)* +**When to use:** After creating and reviewing an optimization. Warn the user this may take a long time. +**After completion:** Always visualize the fit: `run_model` → `get_run_info` → `get_variable_data` (both calibration + simulation run IDs, `detailed: true`) → `create_visualization`. + +#### `create_sensitivity_analysis` *(sfd only)* +**When to use:** When the user wants to understand which parameters most influence outputs, or to characterize uncertainty. +**Best practice:** Review calibration data first (via `load_calibration_data`) to identify which output variables are important. + +#### `edit_sensitivity_analysis` *(sfd only)* +**When to use:** When adjusting an existing sensitivity analysis. + +#### `list_sensitivity_analyses` *(sfd only)* +**When to use:** Before running or editing a sensitivity analysis, to confirm indices. + +#### `run_sensitivity` *(sfd only)* +**When to use:** After creating a sensitivity analysis. Pass `variablesToPlot` with the key output variables. + +#### `auto_layout_model` *(sfd + cld)* +**When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. + +--- + +### Action Sequences + +#### On Calibration / Optimization Request +1. Call `get_run_info` to check whether calibration data is already loaded — if a calibration run already exists, use it instead of asking the user to load new data +2. If no calibration data is present, ask the user what data they have and which model variables it corresponds to, then call `load_calibration_data` with the relevant variable names — note the returned `runId` and `variables` +3. (If data was already loaded in step 1, note its `runId` and proceed from step 4) +4. Discuss with the user which variables from the loaded data to include in the payoff +5. Ask which parameters they suspect need adjustment and what reasonable bounds might be +6. Create a calibration payoff using the `runId` and `variables`: + `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` +7. Create the optimization with the parameter bounds discussed in step 5: + `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` +8. Warn the user this may take some time, then run: `run_optimization(optimizationIndex: )` +9. After completion, visualize the fit: + - `run_model` — run with the optimized parameters + - `get_run_info` — identify the new simulation run ID + - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath + - `create_visualization(filePath: )` — show both calibration data and simulation output overlaid +10. Ask the user: "How does the fit look? Does this match what you expected the model to do?" + +#### On Sensitivity Analysis Request +1. Ask the user which parameters they want to vary +2. Ask about reasonable ranges or distributions for each parameter +3. Create the sensitivity analysis with appropriate distributions: + `create_sensitivity_analysis(method: "sobolSequence", numRuns: ..., variables: [...])` +4. Run it with key output variables: `run_sensitivity(sensitivityIndex: , variablesToPlot: [...])` +5. Help the user interpret which parameters most strongly influence the outputs, connecting back to feedback loop structure \ No newline at end of file From 294d46f052261d6f19a323ad28df9efd3efabadf Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 13:52:36 -0400 Subject: [PATCH 138/226] fix blank polarity for gemini adk --- agent/tools/builtin/largeModelTools.js | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index e9c07c43..4239c160 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -295,7 +295,7 @@ After editing, the model is validated and processed through the quantitative eng z.array(z.object({ from: z.string(), to: z.string(), - polarity: z.enum(['+', '-', '']).optional(), + polarity: z.enum(['+', '-']).optional(), reasoning: z.string().optional(), polarityReasoning: z.string().optional() })), @@ -303,7 +303,7 @@ After editing, the model is validated and processed through the quantitative eng z.object({ from: z.string(), to: z.string(), - polarity: z.enum(['+', '-', '']).optional(), + polarity: z.enum(['+', '-']).optional(), reasoning: z.string().optional(), polarityReasoning: z.string().optional() }), @@ -475,8 +475,8 @@ After editing, the model is validated and processed through the quantitative eng if (!r.from || !r.to) { return handleError('Error: Relationships must have "from" and "to" fields'); } - if (r.polarity !== undefined && !['+', '-', ''].includes(r.polarity)) { - return handleError(`Error: Relationship polarity must be "+", "-", or "", got "${r.polarity}"`); + if (r.polarity !== undefined && !['+', '-'].includes(r.polarity)) { + return handleError(`Error: Relationship polarity must be "+" or "-", got "${r.polarity}"`); } } model.relationships.push(...relsToAdd); From a7a0a28427dba40a2142ed43fbbecf7b897e6b1d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 14:04:54 -0400 Subject: [PATCH 139/226] play with cutoffs for tools --- config.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/config.js b/config.js index 48f3ae8e..c39e880b 100644 --- a/config.js +++ b/config.js @@ -7,9 +7,9 @@ const config = { "tokenReporterURL": process.env.TOKEN_REPORTER_URL || null, // Optional URL to POST agent LLM token usage "websocketPort": 3000, "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) - "agentMaxTokensForEngines": 50_000, // Maximum tokens before switching to file-based editing + "agentMaxTokensForEngines": 32_000, // Maximum tokens before force switching to file-based editing "agentMaxContextTokens": 32_000, // Maximum tokens for conversation history sent to Claude API - "agentTargetedEditingMinimum": 5_000, //Above this size, models can be edited without quantitative/qualitative engine + "agentTargetedEditingMinimum": 250, //Above this size, models can be edited without quantitative/qualitative engine "agentAnthropicModel": 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models "agentGeminiModel": 'gemini-3-flash-preview', // Model used for agent conversations MUST BE gemini models From ef02dc959b55f634f3188309a574bb8d735a88c2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 14:30:51 -0400 Subject: [PATCH 140/226] getPricing always returns something -- and spams the log if it can't find stuff --- utilities/pricing.js | 29 +++++++++++++++++++---------- 1 file changed, 19 insertions(+), 10 deletions(-) diff --git a/utilities/pricing.js b/utilities/pricing.js index 4fbc3123..d5d18b58 100644 --- a/utilities/pricing.js +++ b/utilities/pricing.js @@ -115,32 +115,41 @@ export const openai = { /** * Returns the pricing tier for a given provider/model/inputTokenCount. * Unknown providers fall back to the OpenAI pricing table. - * Unknown models fall back to the provider's "default" entry. + * Unknown models fall back to the provider's "default" entry, then to openai's default. * @param {string} provider - 'anthropic' | 'openai' | 'gemini' (others fall back to openai) * @param {string} model * @param {number} inputTokens - used to select the correct tier for tiered models - * @returns {Object|null} pricing object with per-token-type rates + * @returns {Object} pricing object with per-token-type rates */ export function getPricing(provider, model, inputTokens = 0) { - let table, aliases; + let table, aliases, resolvedProvider; if (provider === 'anthropic') { - table = anthropic; aliases = {}; + table = anthropic; aliases = {}; resolvedProvider = 'anthropic'; } else if (provider === 'openai') { - table = openai; aliases = openaiAliases; + table = openai; aliases = openaiAliases; resolvedProvider = 'openai'; } else if (provider === 'gemini') { - table = gemini; aliases = {}; + table = gemini; aliases = {}; resolvedProvider = 'gemini'; } else { - logger.error(`[pricing] unknown provider "${provider}" — falling back to openai pricing`); - table = openai; aliases = openaiAliases; + logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); + logger.error(`[pricing] !!! UNKNOWN PROVIDER "${provider}" !!! falling back to openai pricing — UPDATE pricing.js`); + logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); + table = openai; aliases = openaiAliases; resolvedProvider = 'openai'; } const resolvedModel = aliases[model] ?? model; let entry = table[resolvedModel]; if (!entry) { - logger.error(`[pricing] unknown model "${model}" for provider "${provider}" — falling back to default rates`); + logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); + logger.error(`[pricing] !!! UNKNOWN MODEL "${model}" for provider "${resolvedProvider}" !!! falling back to "${resolvedProvider}" default rates — UPDATE pricing.js`); + logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); entry = table['default']; + if (!entry) { + logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); + logger.error(`[pricing] !!! NO DEFAULT for provider "${resolvedProvider}" !!! falling back to openai default rates — UPDATE pricing.js`); + logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); + entry = openai['default']; + } } - if (!entry) return null; if (Array.isArray(entry)) { for (const tier of entry) { From e076462edf5d5071be5126c585f960bc6a2e4152 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 14:45:53 -0400 Subject: [PATCH 141/226] use cheaper 5 min caching. --- agent/AgentOrchestrator.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 30384bd0..9576fa27 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -614,7 +614,7 @@ export class AgentOrchestrator { } const systemBlocks = [ - { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral', ttl: '1h' } } + { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral', ttl: '5m' } } ]; // Convert tool servers to Anthropic tool format (with conditional filtering) @@ -1026,7 +1026,7 @@ export class AgentOrchestrator { // Cache all tool definitions up to the last one — stable within a session if (tools.length > 0) { - tools[tools.length - 1] = { ...tools[tools.length - 1], cache_control: { type: 'ephemeral', ttl: '1h' } }; + tools[tools.length - 1] = { ...tools[tools.length - 1], cache_control: { type: 'ephemeral', ttl: '5m' } }; } return tools; @@ -1522,7 +1522,7 @@ export class AgentOrchestrator { try { const cacheConfig = { - ttl: '3600s', + ttl: '300s', systemInstruction: systemPrompt }; if (toolDeclarations.length > 0) { From 73b49846e96f2fbf5531e5f9f817d68603cf8706 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 14:46:20 -0400 Subject: [PATCH 142/226] take away write and edit file directly commands -- nothign good happens there! --- agent/AgentOrchestrator.js | 2 +- agent/tools/BuiltInToolProvider.js | 6 +++--- agent/tools/builtin/fileTools.js | 3 --- agent/utilities/AgentConfigurationManager.js | 4 ++-- 4 files changed, 6 insertions(+), 9 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 9576fa27..1ddc5546 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -219,7 +219,7 @@ export class AgentOrchestrator { try { // Build tools list - combine SDK filesystem tools with MCP servers - const builtInSdkTools = ['Read', 'Edit', 'Write', 'Glob', 'Grep']; + const builtInSdkTools = ['Read', /*'Edit', 'Write',*/ 'Glob', 'Grep']; let mcpServers = { builtin: this.builtInToolProvider.getMcpServer() diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index b9af1ad1..342f5f06 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -83,9 +83,9 @@ export class BuiltInToolProvider { create_visualization: createVisualizationTool(this.sessionManager, this.sessionId, this.sendToClient, this.vizEngine), read_model_section: createReadModelSectionTool(this.sessionManager, this.sessionId), edit_model_section: createEditModelSectionTool(this.sessionManager, this.sessionId, this.sendToClient), - read_file: createReadFileTool(), - write_file: createWriteFileTool(), - edit_file: createEditFileTool() + read_file: createReadFileTool() + //write_file: createWriteFileTool(), + //edit_file: createEditFileTool() } }; } diff --git a/agent/tools/builtin/fileTools.js b/agent/tools/builtin/fileTools.js index 455567eb..488589f9 100644 --- a/agent/tools/builtin/fileTools.js +++ b/agent/tools/builtin/fileTools.js @@ -17,7 +17,6 @@ Filtering options to avoid reading more than needed: - search: return only lines containing this string (case-insensitive) - maxLines: cap the number of lines returned (default: no limit)`, supportedModes: ['sfd', 'cld'], - nonSdkOnly: true, inputSchema: z.object({ filePath: z.string().describe('Absolute path to the file to read'), startLine: z.number().int().positive().optional().describe('First line to return (1-based, inclusive)'), @@ -67,7 +66,6 @@ export function createWriteFileTool() { return { description: 'Write content to a file on disk, creating the file (and any parent directories) if it does not exist. Overwrites any existing content. NEVER use this to write to model.sdjson — all model updates must go through the designated model tools.', supportedModes: ['sfd', 'cld'], - nonSdkOnly: true, inputSchema: z.object({ filePath: z.string().describe('Absolute path to the file to write'), content: z.string().describe('Content to write to the file') @@ -92,7 +90,6 @@ By default, old_string must appear exactly once. Set replaceAll: true to replace The match is exact (whitespace-sensitive). Provide enough surrounding context to make the match unique. NEVER use this to edit model.sdjson — all model updates must go through the designated model tools.`, supportedModes: ['sfd', 'cld'], - nonSdkOnly: true, inputSchema: z.object({ filePath: z.string().describe('Absolute path to the file to edit'), oldString: z.string().describe('The exact string to find and replace'), diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 3c83eee4..64fc418b 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -56,7 +56,7 @@ When a user requests a visualization: - Visualizations should reflect the current state of the model, not an idealized or modified version **ABSOLUTE RULE: ALL plotting and charting MUST go through the create_visualization tool — no exceptions.** -NEVER write Python plotting code yourself. NEVER use write_file or edit_file to create a matplotlib script and run it manually. +NEVER write Python plotting code yourself. NEVER hand-author a matplotlib script and run it manually. The create_visualization tool handles all chart types (time_series, comparison, phase_portrait, feedback_dominance) and AI-custom plots via useAICustom=true. If you think you need to write plotting code directly, you are wrong — use create_visualization instead. **CRITICAL: Never fabricate data files for create_visualization.** @@ -76,7 +76,7 @@ Never write, generate, or construct a data file yourself and pass it to create_v 2. Pass the variable data filePath to create_visualization with options.includeFeedbackContext: true ## CRITICAL: Never Directly Edit model.sdjson -NEVER use file writing or file editing tools (write_file, edit_file) to directly modify model.sdjson. +NEVER directly modify model.sdjson on disk by any means. All model changes MUST go through the designated model tools (generate_quantitative_model, generate_qualitative_model, generate_documentation, edit_model_section, etc.). Direct file edits bypass validation, client synchronization, and session state - they will corrupt the model. From f82b4e3700af1bcd8a00b773bb192db4d70f2282 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 15:23:44 -0400 Subject: [PATCH 143/226] change agent names to include their provider for now --- agent/config/merlin.md | 2 +- agent/config/merlinG.md | 2 +- agent/config/socrates.md | 2 +- agent/config/socratesG.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 549bdd92..a4f0a3a4 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -1,5 +1,5 @@ --- -name: "Merlin" +name: "Merlin Claude" role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" diff --git a/agent/config/merlinG.md b/agent/config/merlinG.md index c276c7fa..470584b8 100644 --- a/agent/config/merlinG.md +++ b/agent/config/merlinG.md @@ -1,5 +1,5 @@ --- -name: "Merlin G." +name: "Merlin Gemini" role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" diff --git a/agent/config/socrates.md b/agent/config/socrates.md index b0b1e9b7..a87fda6b 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -1,5 +1,5 @@ --- -name: "Socrates" +name: "Socrates Claude" role: "Coach" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" diff --git a/agent/config/socratesG.md b/agent/config/socratesG.md index 622d3928..9ec0f81e 100644 --- a/agent/config/socratesG.md +++ b/agent/config/socratesG.md @@ -1,5 +1,5 @@ --- -name: "Socrates G." +name: "Socrates Gemini" role: "Coach" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" From 48be9f9e506d15be6392981043727ae3a8715700 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 15:45:31 -0400 Subject: [PATCH 144/226] fix unit test --- tests/agent/AgentConfigurationManager.test.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/agent/AgentConfigurationManager.test.js b/tests/agent/AgentConfigurationManager.test.js index 6d169b69..8e562dec 100644 --- a/tests/agent/AgentConfigurationManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -17,7 +17,7 @@ describe('AgentConfigurationManager', () => { it('should load config from MD file', () => { expect(configManager.config).toBeDefined(); expect(configManager.config.agent).toBeDefined(); - expect(configManager.config.agent.name).toBe('Socrates'); + expect(configManager.config.agent.name).toMatch(/^Socrates/); }); it('should throw error for non-existent config file', () => { From 2ba33a46a742c2ff6481a42ceb2287a35b754768 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 16:08:28 -0400 Subject: [PATCH 145/226] Fixed gemini billing! --- utilities/TokenUsageReporter.js | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index 1eb934a1..5d7e91d9 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -138,10 +138,9 @@ class TokenUsageReporter { } if (provider === 'gemini') { - // cachedTokens are a subset of inputTokens; bill non-cached at full rate, cached at reduced rate + // promptTokenCount (inputTokens) and cachedContentTokenCount (cachedTokens) are reported separately — do not subtract // thoughtsTokens are separate from outputTokens and billed at the output rate - const nonCached = tokens.inputTokens - tokens.cachedTokens; - const inputTokens = per(nonCached, pricing.inputTokens); + const inputTokens = per(tokens.inputTokens, pricing.inputTokens); const cachedTokens = per(tokens.cachedTokens, pricing.cachedTokens); const outputTokens = per(tokens.outputTokens, pricing.outputTokens); const thoughtsTokens = per(tokens.thoughtsTokens, pricing.outputTokens); From e08cb2a904164408ff4a051852772c7b26efccdb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 16:38:29 -0400 Subject: [PATCH 146/226] I am now confident that cached tokens are subtracted from input tokens for gemini. --- utilities/TokenUsageReporter.js | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index 5d7e91d9..2eb6f29b 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -24,6 +24,7 @@ class TokenUsageReporter { const isAnthropic = provider === 'anthropic'; const isOpenAI = provider === 'openai'; + const isGemini = provider === 'gemini'; let tokens; if (isAnthropic) { @@ -41,13 +42,15 @@ class TokenUsageReporter { cachedTokens: usage.prompt_tokens_details?.cached_tokens ?? 0, reasoningTokens: usage.completion_tokens_details?.reasoning_tokens ?? 0, }; - } else { + } else if (isGemini) { tokens = { inputTokens: usage.promptTokenCount ?? 0, outputTokens: usage.candidatesTokenCount ?? 0, cachedTokens: usage.cachedContentTokenCount ?? 0, thoughtsTokens: usage.thoughtsTokenCount ?? 0, }; + } else { + throw new Error('Unknown provider: "' + provider + '"'); } const costs = this.#calculateCost(provider, model, tokens); @@ -138,9 +141,10 @@ class TokenUsageReporter { } if (provider === 'gemini') { - // promptTokenCount (inputTokens) and cachedContentTokenCount (cachedTokens) are reported separately — do not subtract + // cachedTokens are a subset of inputTokens; bill non-cached at full rate, cached at reduced rate // thoughtsTokens are separate from outputTokens and billed at the output rate - const inputTokens = per(tokens.inputTokens, pricing.inputTokens); + const nonCached = tokens.inputTokens - tokens.cachedTokens; + const inputTokens = per(nonCached, pricing.inputTokens); const cachedTokens = per(tokens.cachedTokens, pricing.cachedTokens); const outputTokens = per(tokens.outputTokens, pricing.outputTokens); const thoughtsTokens = per(tokens.thoughtsTokens, pricing.outputTokens); From ceedb37d828dc7a8d5a6b8e91e69b920e507d20a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 6 May 2026 18:12:40 -0400 Subject: [PATCH 147/226] organize config.js better --- agent/utilities/SessionManager.js | 2 +- config.js | 18 ++++++++++++++++-- utilities/LLMWrapper.js | 4 ++-- 3 files changed, 19 insertions(+), 5 deletions(-) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 6e27655b..a0736519 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -26,7 +26,7 @@ export class SessionManager { this.sessions = new Map(); // Use configured temp directory or default to OS tmpdir - const baseTempDir = config.sessionTempDir || tmpdir(); + const baseTempDir = config.agentSessionTempDir || tmpdir(); this.tempBasePath = join(baseTempDir, 'sd-agent'); // Configuration diff --git a/config.js b/config.js index c39e880b..7507ed8f 100644 --- a/config.js +++ b/config.js @@ -3,10 +3,24 @@ import { ThinkingLevel } from "@google/genai"; const config = { "port": 3000, + "websocketPort": 3000, + + /* + * Reporting URLs + */ "metricsReporterURL": process.env.METRICS_REPORTER_URL || null, // Optional URL to POST engine usage metrics "tokenReporterURL": process.env.TOKEN_REPORTER_URL || null, // Optional URL to POST agent LLM token usage - "websocketPort": 3000, - "sessionTempDir": process.env.SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) + + /* + * Defaults for the engines that use LLMWrapper and the agent tools that use those engines + */ + "buildDefaultModel": 'gemini-3-flash-preview low', //LLMWrapper underlyingModel default for building model tools + "nonBuildDefaultModel": 'gemini-3-flash-preview low', //LLMWrapper underlyingModel default for non-building model tools + + /* + * These settings control the operation of the agents + */ + "agentSessionTempDir": process.env.AGENT_SESSION_TEMP_DIR || null, // Optional custom temp directory for session files (defaults to OS tmpdir/sd-agent) "agentMaxTokensForEngines": 32_000, // Maximum tokens before force switching to file-based editing "agentMaxContextTokens": 32_000, // Maximum tokens for conversation history sent to Claude API "agentTargetedEditingMinimum": 250, //Above this size, models can be edited without quantitative/qualitative engine diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index ccff36bb..33c5a4f1 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -167,8 +167,8 @@ export class LLMWrapper { {label: "Claude Haiku 4.5", value: 'claude-haiku-4-5'}, ]; - static BUILD_DEFAULT_MODEL = 'gemini-3-flash-preview low'; //'claude-opus-4-6'; - static NON_BUILD_DEFAULT_MODEL = 'gemini-3-flash-preview low'; //'claude-opus-4-6'; + static BUILD_DEFAULT_MODEL = config.buildDefaultModel; + static NON_BUILD_DEFAULT_MODEL = config.nonBuildDefaultModel; static EVAL_MODEL = process.env.EVAL_MODEL ?? 'gemini-2.5-flash'; static SCHEMA_STRINGS = { From c8d37c50a09e7760cd8dc8c83f11b56a1456038e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 07:08:57 -0400 Subject: [PATCH 148/226] silence warning about max listeners --- agent/AgentOrchestrator.js | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 1ddc5546..580ab276 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -2,6 +2,7 @@ import Anthropic from '@anthropic-ai/sdk'; import { query } from '@anthropic-ai/claude-agent-sdk'; import { GoogleGenAI } from '@google/genai'; import { LlmAgent, Runner, InMemorySessionService, isFinalResponse } from '@google/adk'; +import { setMaxListeners } from 'events'; import { encode } from 'gpt-tokenizer'; import { marked } from 'marked'; import { countTokens } from '@anthropic-ai/tokenizer'; @@ -1229,6 +1230,9 @@ export class AgentOrchestrator { } this.abortController = new AbortController(); + // @google/genai attaches an abort listener per HTTP request without removing it on + // success, so a multi-tool ADK turn easily exceeds Node's default limit of 10. + setMaxListeners(0, this.abortController.signal); const maxIterations = this.configManager.getMaxIterations(); let maxIterationsHit = false; From 53e87a2092250ed6bea8680db171fb486cd0621e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 07:49:30 -0400 Subject: [PATCH 149/226] handle interupting messages better! --- agent/AgentOrchestrator.js | 372 ++++++++++++++++++++++--------------- agent/AgentWorker.js | 12 +- 2 files changed, 228 insertions(+), 156 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 580ab276..a18a7250 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -68,6 +68,7 @@ function toAnthropicMessage(msg) { export class AgentOrchestrator { #geminiManualCacheName = null; #geminiManualCacheKey = null; + #pendingMessages = []; constructor(sessionManager, sessionId, sendToClient, configPath) { this.sessionManager = sessionManager; @@ -300,6 +301,18 @@ export class AgentOrchestrator { await this.handleAnthropicSdkMessage(message); } + // Process any messages queued while the SDK was running. Each queued message + // gets a fresh maxTurns budget — even if the prior run hit the limit. + while (!this.stopRequested && this.#pendingMessages.length > 0) { + const next = this.#pendingMessages.shift(); + logger.log(`Anthropic SDK: processing queued message (remaining: ${this.#pendingMessages.length})`); + this.maxTurnsReached = false; + const followUpIterator = query({ prompt: next, options: { ...queryOptions, resume: this.sdkSessionId } }); + for await (const message of followUpIterator) { + await this.handleAnthropicSdkMessage(message); + } + } + // Normal completion (or max turns reached) if (this.maxTurnsReached) { logger.log(`Anthropic SDK: Agent reached max iterations for session ${this.sessionId}`); @@ -621,108 +634,120 @@ export class AgentOrchestrator { // Convert tool servers to Anthropic tool format (with conditional filtering) const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount, mode); - let continueLoop = true; const maxIterations = this.configManager.getMaxIterations(); - let iteration = 0; - let overloadedRetries = 0; // max 3 total per conversation turn - while (continueLoop && iteration < maxIterations && !this.stopRequested) { - iteration++; + while (true) { + let continueLoop = true; + let iteration = 0; + let overloadedRetries = 0; + + while (continueLoop && iteration < maxIterations && !this.stopRequested) { + iteration++; + + // Summarize context in-place if it has grown over the token limit + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + + try { + // Call Claude API + const thinkingEnabled = config.agentAnthropicThinking?.type !== 'disabled'; + const response = await this.anthropic.messages.create({ + model: config.agentAnthropicModel, + max_tokens: 8192, + system: systemBlocks, + messages: messages, + thinking: config.agentAnthropicThinking, + ...(thinkingEnabled && { effort: config.agentAnthropicEffort }), + tools: tools.length > 0 ? tools : undefined + }); - // Summarize context in-place if it has grown over the token limit - await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + this.#logApiUsage('anthropic', response.usage); - try { - // Call Claude API - const thinkingEnabled = config.agentAnthropicThinking?.type !== 'disabled'; - const response = await this.anthropic.messages.create({ - model: config.agentAnthropicModel, - max_tokens: 8192, - system: systemBlocks, - messages: messages, - thinking: config.agentAnthropicThinking, - ...(thinkingEnabled && { effort: config.agentAnthropicEffort }), - tools: tools.length > 0 ? tools : undefined - }); - - this.#logApiUsage('anthropic', response.usage); + // Check if stop was requested during the API call + if (this.stopRequested) { + break; + } - // Check if stop was requested during the API call - if (this.stopRequested) { - break; - } + // Process response + continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); - // Process response - continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); + // Check if stop was requested during response processing + if (this.stopRequested) { + break; + } - // Check if stop was requested during response processing - if (this.stopRequested) { - break; + } catch (error) { + const isOverloaded = error?.status === 529 || error?.error?.type === 'overloaded_error'; + const isNetworkError = error?.cause?.code === 'UND_ERR_SOCKET' || error?.code === 'UND_ERR_SOCKET' || + error?.code === 'ECONNRESET' || error?.cause?.code === 'ECONNRESET' || + (error instanceof TypeError && error.message === 'terminated'); + if ((isOverloaded || isNetworkError) && overloadedRetries < 3) { + overloadedRetries++; + const reason = isOverloaded ? 'overloaded (529)' : 'network error'; + logger.warn(`Anthropic Manual: Anthropic API ${reason}, retry ${overloadedRetries}/3`); + await this.sendToClient(createAgentTextMessage( + this.sessionId, + isOverloaded ? 'The AI service is temporarily overloaded. Retrying...' : 'Network connection interrupted. Retrying...' + )); + await new Promise(resolve => setTimeout(resolve, 5000)); + } else if (isOverloaded) { + logger.error('Anthropic Manual: Anthropic API overloaded (529) after 3 retries, giving up'); + await this.sendToClient(createErrorMessage( + this.sessionId, + 'The AI service is overloaded. Please try again later.', + 'AGENT_ERROR' + )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped due to overloaded API' + )); + continueLoop = false; + } else { + logger.error('Anthropic Manual: Error in agent conversation loop:', error); + await this.sendToClient(createErrorMessage( + this.sessionId, + `Agent error: ${error.message}`, + 'AGENT_ERROR' + )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped due to error' + )); + continueLoop = false; + } } + } - } catch (error) { - const isOverloaded = error?.status === 529 || error?.error?.type === 'overloaded_error'; - const isNetworkError = error?.cause?.code === 'UND_ERR_SOCKET' || error?.code === 'UND_ERR_SOCKET' || - error?.code === 'ECONNRESET' || error?.cause?.code === 'ECONNRESET' || - (error instanceof TypeError && error.message === 'terminated'); - if ((isOverloaded || isNetworkError) && overloadedRetries < 3) { - overloadedRetries++; - const reason = isOverloaded ? 'overloaded (529)' : 'network error'; - logger.warn(`Anthropic Manual: Anthropic API ${reason}, retry ${overloadedRetries}/3`); - await this.sendToClient(createAgentTextMessage( - this.sessionId, - isOverloaded ? 'The AI service is temporarily overloaded. Retrying...' : 'Network connection interrupted. Retrying...' - )); - await new Promise(resolve => setTimeout(resolve, 5000)); - } else if (isOverloaded) { - logger.error('Anthropic Manual: Anthropic API overloaded (529) after 3 retries, giving up'); - await this.sendToClient(createErrorMessage( - this.sessionId, - 'The AI service is overloaded. Please try again later.', - 'AGENT_ERROR' - )); - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - 'Agent stopped due to overloaded API' - )); - continueLoop = false; - } else { - logger.error('Anthropic Manual: Error in agent conversation loop:', error); - await this.sendToClient(createErrorMessage( - this.sessionId, - `Agent error: ${error.message}`, - 'AGENT_ERROR' - )); + if (this.stopRequested) { + logger.log(`Anthropic Manual: Agent iteration stopped by user request for session ${this.sessionId}`); + this.stopRequested = false; + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped by user request' + )); + break; + } + const reachedMax = iteration >= maxIterations; + if (this.#pendingMessages.length === 0) { + if (reachedMax) { + logger.warn(`Anthropic Manual: Agent conversation reached max iterations (${maxIterations})`); await this.sendToClient(createAgentCompleteMessage( this.sessionId, 'awaiting_user', - 'Agent stopped due to error' + `Reached maximum iterations (${maxIterations})` )); - continueLoop = false; } + break; } - } - if (this.stopRequested) { - logger.log(`Anthropic Manual: Agent iteration stopped by user request for session ${this.sessionId}`); - this.stopRequested = false; // Reset for next conversation - - // Send agent_complete message to notify client that agent has stopped - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - 'Agent stopped by user request' - )); - } else if (iteration >= maxIterations) { - logger.warn(`Anthropic Manual: Agent conversation reached max iterations (${maxIterations})`); - - // Send agent_complete message when max iterations reached - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - `Reached maximum iterations (${maxIterations})` - )); + if (reachedMax) { + logger.warn(`Anthropic Manual: max iterations (${maxIterations}) hit; draining queued message with fresh budget`); + } + const next = this.#pendingMessages.shift(); + logger.log(`Anthropic Manual: processing queued message (remaining: ${this.#pendingMessages.length})`); + this.sessionManager.addToConversationHistory(this.sessionId, { role: 'user', content: next }); } } @@ -1080,65 +1105,82 @@ export class AgentOrchestrator { // Build or reuse per-session Gemini context cache (system prompt + tools) const geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); - let continueLoop = true; - let completedNaturally = false; const maxIterations = this.configManager.getMaxIterations(); - let iteration = 0; - let retries = 0; - while (continueLoop && iteration < maxIterations && !this.stopRequested) { - iteration++; - await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); - - try { - const response = await this.gemini.models.generateContent({ - model: config.agentGeminiModel, - contents: messages, - config: geminiConfig - }); - - this.#logApiUsage('gemini', response.usageMetadata); - - if (this.stopRequested) break; - - continueLoop = await this.processGeminiManualResponse(response, messages, builtInTools, dynamicTools); - if (!continueLoop) completedNaturally = true; + while (true) { + let continueLoop = true; + let completedNaturally = false; + let iteration = 0; + let retries = 0; + + while (continueLoop && iteration < maxIterations && !this.stopRequested) { + iteration++; + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + + try { + const response = await this.gemini.models.generateContent({ + model: config.agentGeminiModel, + contents: messages, + config: geminiConfig + }); - if (this.stopRequested) break; + this.#logApiUsage('gemini', response.usageMetadata); + + if (this.stopRequested) break; + + continueLoop = await this.processGeminiManualResponse(response, messages, builtInTools, dynamicTools); + if (!continueLoop) completedNaturally = true; + + if (this.stopRequested) break; + + } catch (error) { + const isQuota = error?.status === 429; + const isNetworkError = error?.code === 'UND_ERR_SOCKET' || error?.code === 'ECONNRESET' || + (error instanceof TypeError && error.message === 'terminated'); + if ((isQuota || isNetworkError) && retries < 3) { + retries++; + const reason = isQuota ? 'quota/rate-limited (429)' : 'network error'; + logger.warn(`Gemini Manual: Gemini API ${reason}, retry ${retries}/3`); + await this.sendToClient(createAgentTextMessage( + this.sessionId, + isQuota ? 'The AI service is temporarily rate-limited. Retrying...' : 'Network connection interrupted. Retrying...' + )); + await new Promise(resolve => setTimeout(resolve, 5000)); + } else if (isQuota) { + logger.error('Gemini Manual: Gemini API rate-limited after 3 retries, giving up'); + await this.sendToClient(createErrorMessage(this.sessionId, 'The AI service is rate-limited. Please try again later.', 'AGENT_ERROR')); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to rate limiting')); + continueLoop = false; + } else { + logger.error('Gemini Manual: Error in Gemini agent conversation loop:', error); + await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to error')); + continueLoop = false; + } + } + } - } catch (error) { - const isQuota = error?.status === 429; - const isNetworkError = error?.code === 'UND_ERR_SOCKET' || error?.code === 'ECONNRESET' || - (error instanceof TypeError && error.message === 'terminated'); - if ((isQuota || isNetworkError) && retries < 3) { - retries++; - const reason = isQuota ? 'quota/rate-limited (429)' : 'network error'; - logger.warn(`Gemini Manual: Gemini API ${reason}, retry ${retries}/3`); - await this.sendToClient(createAgentTextMessage( - this.sessionId, - isQuota ? 'The AI service is temporarily rate-limited. Retrying...' : 'Network connection interrupted. Retrying...' - )); - await new Promise(resolve => setTimeout(resolve, 5000)); - } else if (isQuota) { - logger.error('Gemini Manual: Gemini API rate-limited after 3 retries, giving up'); - await this.sendToClient(createErrorMessage(this.sessionId, 'The AI service is rate-limited. Please try again later.', 'AGENT_ERROR')); - await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to rate limiting')); - continueLoop = false; - } else { - logger.error('Gemini Manual: Error in Gemini agent conversation loop:', error); - await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); - await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to error')); - continueLoop = false; + if (this.stopRequested) { + this.stopRequested = false; + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); + break; + } + const reachedMax = !completedNaturally && iteration >= maxIterations; + if (this.#pendingMessages.length === 0) { + if (reachedMax) { + logger.warn(`Gemini Manual: Agent conversation reached max iterations (${maxIterations})`); + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); } + break; } - } - if (this.stopRequested) { - this.stopRequested = false; - await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped by user request')); - } else if (!completedNaturally && iteration >= maxIterations) { - logger.warn(`Gemini Manual: Agent conversation reached max iterations (${maxIterations})`); - await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', `Reached maximum iterations (${maxIterations})`)); + if (reachedMax) { + logger.warn(`Gemini Manual: max iterations (${maxIterations}) hit; draining queued message with fresh budget`); + } + const next = this.#pendingMessages.shift(); + logger.log(`Gemini Manual: processing queued message (remaining: ${this.#pendingMessages.length})`); + this.sessionManager.addToConversationHistory(this.sessionId, { role: 'user', parts: [{ text: next }] }); + messages.push({ role: 'user', parts: [{ text: next }] }); } } @@ -1302,25 +1344,43 @@ export class AgentOrchestrator { this.#adkHasPriorContext = true; } - const newMessage = { role: 'user', parts: [{ text: prompt }] }; + let currentMessage = { role: 'user', parts: [{ text: prompt }] }; let turnCount = 0; - for await (const event of runner.runAsync({ - userId: this.sessionId, - sessionId: this.adkSessionId, - newMessage, - abortSignal: this.abortController.signal - })) { - if (event.usageMetadata) this.#logApiUsage('gemini', event.usageMetadata); + while (true) { + for await (const event of runner.runAsync({ + userId: this.sessionId, + sessionId: this.adkSessionId, + newMessage: currentMessage, + abortSignal: this.abortController.signal + })) { + if (event.usageMetadata) this.#logApiUsage('gemini', event.usageMetadata); + if (this.stopRequested) break; + await this.handleAdkEvent(event); + if (isFinalResponse(event)) turnCount++; + if (turnCount >= maxIterations) { + logger.warn(`Gemini ADK: agent reached max iterations (${maxIterations})`); + maxIterationsHit = true; + this.abortController.abort(); + break; + } + } + if (this.stopRequested) break; - await this.handleAdkEvent(event); - if (isFinalResponse(event)) turnCount++; - if (turnCount >= maxIterations) { - logger.warn(`Gemini ADK: agent reached max iterations (${maxIterations})`); - maxIterationsHit = true; - this.abortController.abort(); - break; + if (this.#pendingMessages.length === 0) break; + + if (maxIterationsHit) { + logger.warn(`Gemini ADK: max iterations (${maxIterations}) hit; draining queued message with fresh budget`); + maxIterationsHit = false; + // Previous run aborted the controller — create a fresh one for the next run. + this.abortController = new AbortController(); + setMaxListeners(0, this.abortController.signal); } + + const next = this.#pendingMessages.shift(); + logger.log(`Gemini ADK: processing queued message (remaining: ${this.#pendingMessages.length})`); + currentMessage = { role: 'user', parts: [{ text: next }] }; + turnCount = 0; } if (this.stopRequested) { @@ -1499,9 +1559,15 @@ export class AgentOrchestrator { stopIteration() { logger.log(`Stop iteration requested for session ${this.sessionId}`); this.stopRequested = true; + this.#pendingMessages = []; this.abortController?.abort(); } + queueMessage(message) { + this.#pendingMessages.push(message); + logger.debug(`[orchestrator:${this.sessionId}] Message queued (depth: ${this.#pendingMessages.length})`); + } + async #getGeminiManualConfig(systemPrompt, toolDeclarations) { // Build a cache key from the stable inputs — recreate if they change (e.g. tool set changes on model resize) const cacheKey = systemPrompt + JSON.stringify(toolDeclarations.map(t => t.name)); diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 44f2b3bf..c33bf05b 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -61,6 +61,8 @@ class AgentWorker { // from the previous agent into the new session. #pendingIsAgentSwitch = false; + #conversationRunning = false; + // IPC send function — overridden by #setupSocketIpc when using bwrap sandbox #sendToMain = (msg) => process.send(msg); @@ -133,13 +135,17 @@ class AgentWorker { this.#toClient({ type: 'error', sessionId: SESSION_ID, error: 'No agent selected', code: 'NO_AGENT' }); break; } - // When switching agents, pass the live session context reference so that - // AgentOrchestrator's manual-mode pop() correctly modifies the session history. + if (this.#conversationRunning) { + this.#orchestrator.queueMessage(msg.message); + break; + } const previousContext = this.#pendingIsAgentSwitch ? this.#sessionManager.getConversationContext(SESSION_ID) : null; this.#pendingIsAgentSwitch = false; - await this.#orchestrator.startConversation(msg.message, previousContext); + this.#conversationRunning = true; + this.#orchestrator.startConversation(msg.message, previousContext) + .finally(() => { this.#conversationRunning = false; }); break; } From 069a4323d5c9f390fd584daa912a9a4d3e1313f2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 08:09:17 -0400 Subject: [PATCH 150/226] get rid of documentation tool -- ive never seen it used, and its better to do it through large model tools! --- agent/AgentOrchestrator.js | 2 +- agent/README.md | 3 - agent/config/merlin.md | 4 -- agent/config/merlinG.md | 4 -- agent/config/socrates.md | 4 -- agent/config/socratesG.md | 4 -- agent/test-client.html | 6 -- agent/tools/BuiltInToolProvider.js | 3 - agent/tools/builtin/generateDocumentation.js | 71 -------------------- agent/tools/builtin/index.js | 1 - 10 files changed, 1 insertion(+), 101 deletions(-) delete mode 100644 agent/tools/builtin/generateDocumentation.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index a18a7250..fd98c249 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -369,7 +369,7 @@ export class AgentOrchestrator { #getResponseType(displayName) { if (['generate_ltm_narrative'].includes(displayName)) return 'ltm-discuss'; if (['discuss_model_with_seldon', 'discuss_model_across_runs', 'discuss_with_mentor'].includes(displayName)) return 'discuss'; - if (['generate_quantitative_model', 'generate_qualitative_model', 'generate_documentation'].includes(displayName)) return 'model'; + if (['generate_quantitative_model', 'generate_qualitative_model'].includes(displayName)) return 'model'; return 'other'; } diff --git a/agent/README.md b/agent/README.md index 3826902c..ca712298 100644 --- a/agent/README.md +++ b/agent/README.md @@ -682,9 +682,6 @@ All core tools are registered server-side. Clients do not need to register them. - **discuss_model_with_seldon** — Deep technical discussion with feedback loop analysis - **discuss_model_across_runs** — Compare behavior across simulation runs - **discuss_with_mentor** — User-friendly mentoring discussion - -### Documentation -- **generate_documentation** — Auto-document model variables - **generate_ltm_narrative** — Feedback loop dominance narratives (LTM) ### Visualization diff --git a/agent/config/merlin.md b/agent/config/merlin.md index a4f0a3a4..eeb7f813 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -121,10 +121,6 @@ Enforce strict validation: ### create_visualization *(sfd only)* **When to use:** Only when the user explicitly requests a chart or graph, or confirms after a suggestion — do not create automatically after simulations -### generate_documentation *(sfd + cld)* -**When to use:** Anytime the user asks the model to be documented. -**Frequency:** Only use this tool on request - ### get_feedback_information *(sfd + cld)* **When to use:** ALWAYS before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions diff --git a/agent/config/merlinG.md b/agent/config/merlinG.md index 470584b8..64d07c93 100644 --- a/agent/config/merlinG.md +++ b/agent/config/merlinG.md @@ -121,10 +121,6 @@ Enforce strict validation: ### create_visualization *(sfd only)* **When to use:** Only when the user explicitly requests a chart or graph, or confirms after a suggestion — do not create automatically after simulations -### generate_documentation *(sfd + cld)* -**When to use:** Anytime the user asks the model to be documented. -**Frequency:** Only use this tool on request - ### get_feedback_information *(sfd + cld)* **When to use:** ALWAYS before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions diff --git a/agent/config/socrates.md b/agent/config/socrates.md index a87fda6b..11794485 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -139,10 +139,6 @@ Focus on educational validation: ### create_visualization *(sfd only)* **When to use:** Only when the user explicitly requests a visualization or confirms after a suggestion — never automatically after simulations or model updates -### generate_documentation *(sfd + cld)* -**When to use:** Anytime the user asks the model to be documented. -**Frequency:** Only use this tool on request - ### get_feedback_information *(sfd + cld)* **When to use:** ALWAYS before discuss_model_with_seldon, discuss_with_mentor, discuss_model_across_runs, or generate_ltm_narrative — no exceptions **Auto-suggest** this tool when appropriate diff --git a/agent/config/socratesG.md b/agent/config/socratesG.md index 9ec0f81e..4f0ae0e6 100644 --- a/agent/config/socratesG.md +++ b/agent/config/socratesG.md @@ -139,10 +139,6 @@ Focus on educational validation: ### create_visualization *(sfd only)* **When to use:** Only when the user explicitly requests a visualization or confirms after a suggestion — never automatically after simulations or model updates -### generate_documentation *(sfd + cld)* -**When to use:** Anytime the user asks the model to be documented. -**Frequency:** Only use this tool on request - ### get_feedback_information *(sfd + cld)* **When to use:** ALWAYS before discuss_model_with_seldon, discuss_with_mentor, discuss_model_across_runs, or generate_ltm_narrative — no exceptions **Auto-suggest** this tool when appropriate diff --git a/agent/test-client.html b/agent/test-client.html index 818278d7..a8c4e2e2 100644 --- a/agent/test-client.html +++ b/agent/test-client.html @@ -646,12 +646,6 @@

Visualizations

const parsed = JSON.parse(result.content[0].text); model = parsed.model; } - } else if (toolName === 'generate_documentation') { - // Documentation engine also returns model - if (result.content && result.content[0] && result.content[0].text) { - const parsed = JSON.parse(result.content[0].text); - model = parsed.model; - } } else if (toolName === 'update_model' || toolName === 'get_current_model') { // Client tools that return models directly if (result.model) { diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index 342f5f06..1683dd22 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -8,7 +8,6 @@ import { createGenerateQualitativeModelTool, createDiscussModelWithSeldonTool, createDiscussModelAcrossRunsTool, - createGenerateDocumentationTool, createGenerateLtmNarrativeTool, createDiscussWithMentorTool, createGetFeedbackInformationTool, @@ -40,7 +39,6 @@ import { * - discuss_model_with_seldon * - discuss_model_across_runs * - discuss_with_mentor - * - generate_documentation * - generate_ltm_narrative * - create_visualization * - get_feedback_information @@ -71,7 +69,6 @@ export class BuiltInToolProvider { generate_qualitative_model: createGenerateQualitativeModelTool(this.sessionManager, this.sessionId, this.sendToClient), discuss_model_with_seldon: createDiscussModelWithSeldonTool(this.sessionManager, this.sessionId, this.sendToClient), discuss_model_across_runs: createDiscussModelAcrossRunsTool(this.sessionManager, this.sessionId, this.sendToClient), - generate_documentation: createGenerateDocumentationTool(this.sessionManager, this.sessionId, this.sendToClient), generate_ltm_narrative: createGenerateLtmNarrativeTool(this.sessionManager, this.sessionId, this.sendToClient), discuss_with_mentor: createDiscussWithMentorTool(this.sessionManager, this.sessionId, this.sendToClient), get_feedback_information: createGetFeedbackInformationTool(this.sessionManager, this.sessionId, this.sendToClient), diff --git a/agent/tools/builtin/generateDocumentation.js b/agent/tools/builtin/generateDocumentation.js deleted file mode 100644 index 5938a039..00000000 --- a/agent/tools/builtin/generateDocumentation.js +++ /dev/null @@ -1,71 +0,0 @@ -import { z } from 'zod'; -import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; -import { callDocumentationEngine } from '../../utilities/EngineWrapper.js'; -import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; -import config from '../../../config.js'; - -/** - * Auto-generate documentation for model variables - */ -export function createGenerateDocumentationTool(sessionManager, sessionId, sendToClient) { - return { - description: 'Auto-generate documentation for model variables including descriptions and polarity.', - supportedModes: ['sfd', 'cld'], - maxModelTokens: config.agentMaxTokensForEngines, - inputSchema: z.object({ - parameters: z.object({ - problemStatement: z.string().optional().describe('Description of dynamic issue to address'), - backgroundKnowledge: z.string().optional().describe('Background information for LLM') - }).optional() - }), - handler: async ({ parameters }) => { - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); - } - - const model = sessionManager.getClientModel(sessionId); - if (!model) { - return createErrorResponse('No model available in session'); - } - - const result = await callDocumentationEngine(model, { ...parameters, clientId: session.clientId }); - - if (!result.success) { - return createErrorResponse(result.error); - } - - // Automatically push the generated model to the client - - const requestId = generateRequestId('model'); - await sendToClient(createUpdateModelMessage(sessionId, requestId, result.model)); - - // Wait for client confirmation - const updatePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); - - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); - }); - - await updatePromise; - - const { modelPath, message } = sessionManager.updateClientModel(sessionId, result.model); - - return createSuccessResponse({ - message: `Documentation generated and pushed to client. ${message}`, - modelPath, - supportingInfo: result.supportingInfo, - pushedToClient: true - }); - } catch (error) { - return createErrorResponse(error.message); - } - } - }; -} diff --git a/agent/tools/builtin/index.js b/agent/tools/builtin/index.js index 3f69b878..aafcef82 100644 --- a/agent/tools/builtin/index.js +++ b/agent/tools/builtin/index.js @@ -8,7 +8,6 @@ export { createGenerateQuantitativeModelTool } from './generateQuantitativeModel export { createGenerateQualitativeModelTool } from './generateQualitativeModel.js'; export { createDiscussModelWithSeldonTool } from './discussModelWithSeldon.js'; export { createDiscussModelAcrossRunsTool } from './discussModelAcrossRuns.js'; -export { createGenerateDocumentationTool } from './generateDocumentation.js'; export { createGenerateLtmNarrativeTool } from './generateLtmNarrative.js'; export { createDiscussWithMentorTool } from './discussWithMentor.js'; export { createGetFeedbackInformationTool } from './getFeedbackInformation.js'; From cab843d3f3934ae325723aa18e0548f867b0727c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 08:11:13 -0400 Subject: [PATCH 151/226] allow the LLM to work harder if it thinks the problem is difficult --- agent/tools/builtin/createVisualization.js | 6 +++++- agent/tools/builtin/discussModelAcrossRuns.js | 7 +++++-- agent/tools/builtin/discussModelWithSeldon.js | 7 +++++-- agent/tools/builtin/discussWithMentor.js | 7 +++++-- agent/tools/builtin/generateLtmNarrative.js | 7 +++++-- agent/tools/builtin/generateQualitativeModel.js | 6 ++++-- agent/tools/builtin/generateQuantitativeModel.js | 6 ++++-- agent/utilities/VisualizationEngine.js | 3 ++- config.js | 4 +++- 9 files changed, 38 insertions(+), 15 deletions(-) diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index dacd186c..b4387c73 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -2,6 +2,7 @@ import { z } from 'zod'; import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; +import config from '../../../config.js'; // Detect run-keyed format: { runId: { time: [...], varName: [...], ... } } export function isRunKeyedFormat(data) { @@ -47,6 +48,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu description: z.string().optional().describe('Description of what the visualization shows'), usePython: z.boolean().optional().describe('Use Python/matplotlib. Default: true'), useAICustom: z.boolean().optional().describe('Use AI to generate custom Python visualization code. Default: false'), + difficulty: z.enum(["normal", "hard"]).optional().describe("The expected difficulty of this task (only used when useAICustom=true)"), dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), options: z.object({ @@ -64,7 +66,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu customRequirements: z.string().optional().describe('Additional freeform requirements passed to the AI when useAICustom=true') }).optional() }), - handler: async ({ type, filePath, variables, title, description, usePython, useAICustom, dataDescription, visualizationGoal, options }) => { + handler: async ({ type, filePath, variables, title, description, usePython, useAICustom, difficulty, dataDescription, visualizationGoal, options }) => { try { const fileContent = readFileSync(filePath, 'utf8'); const rawData = JSON.parse(fileContent); @@ -142,6 +144,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu } } + const underlyingModel = difficulty === 'hard' ? config.agentToolHighEffortNonBuildDefaultModel : config.nonBuildDefaultModel; const vizOptions = { ...options, ...extraOptions, @@ -149,6 +152,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu description, usePython, useAICustom, + underlyingModel, dataDescription: dataDescription, visualizationGoal }; diff --git a/agent/tools/builtin/discussModelAcrossRuns.js b/agent/tools/builtin/discussModelAcrossRuns.js index 425219d9..0eda6039 100644 --- a/agent/tools/builtin/discussModelAcrossRuns.js +++ b/agent/tools/builtin/discussModelAcrossRuns.js @@ -4,6 +4,7 @@ import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonILEEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; +import config from '../../../config.js'; /** * Have a user-friendly discussion about the model without jargon, with ability to compare runs @@ -14,6 +15,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send supportedModes: ['sfd'], inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), + difficulty: z.enum(["normal", "hard"]).describe("The expected difficulty of this task"), runName: z.string().optional().describe('Simulation run identifier of the most recent run matching the way the behavioral content is being passed to this too.'), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), @@ -21,7 +23,7 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), - handler: async ({ prompt, runName, parameters }) => { + handler: async ({ prompt, difficulty, runName, parameters }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { @@ -33,7 +35,8 @@ export function createDiscussModelAcrossRunsTool(sessionManager, sessionId, send return createErrorResponse('No model available in session'); } - const baseParameters = { ...parameters, clientId: session.clientId }; + const underlyingModel = difficulty === 'normal' ? config.nonBuildDefaultModel : config.agentToolHighEffortNonBuildDefaultModel; + const baseParameters = { ...parameters, clientId: session.clientId, underlyingModel }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); const feedbackContent = existsSync(feedbackPath) diff --git a/agent/tools/builtin/discussModelWithSeldon.js b/agent/tools/builtin/discussModelWithSeldon.js index 128dfdc5..1531fe75 100644 --- a/agent/tools/builtin/discussModelWithSeldon.js +++ b/agent/tools/builtin/discussModelWithSeldon.js @@ -4,6 +4,7 @@ import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; +import config from '../../../config.js'; /** * Have an expert-level discussion about the model using System Dynamics terminology @@ -14,13 +15,14 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send supportedModes: ['sfd', 'cld'], inputSchema: z.object({ prompt: z.string().describe('Question or topic for discussion'), + difficulty: z.enum(["normal", "hard"]).describe("The expected difficulty of this task"), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), - handler: async ({ prompt, parameters }) => { + handler: async ({ prompt, difficulty, parameters }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { @@ -32,7 +34,8 @@ export function createDiscussModelWithSeldonTool(sessionManager, sessionId, send return createErrorResponse('No model available in session'); } - const baseParameters = { ...parameters, clientId: session.clientId }; + const underlyingModel = difficulty === 'normal' ? config.nonBuildDefaultModel : config.agentToolHighEffortNonBuildDefaultModel; + const baseParameters = { ...parameters, clientId: session.clientId, underlyingModel }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); const feedbackContent = existsSync(feedbackPath) diff --git a/agent/tools/builtin/discussWithMentor.js b/agent/tools/builtin/discussWithMentor.js index ff95dbce..7feb475e 100644 --- a/agent/tools/builtin/discussWithMentor.js +++ b/agent/tools/builtin/discussWithMentor.js @@ -4,6 +4,7 @@ import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callSeldonMentorEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; +import config from '../../../config.js'; /** * Ask thoughtful questions to the user to guide their learning @@ -14,13 +15,14 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli supportedModes: ['sfd', 'cld'], inputSchema: z.object({ prompt: z.string().describe('The question or guidance to provide to the user'), + difficulty: z.enum(["normal", "hard"]).describe("The expected difficulty of this task"), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), - handler: async ({ prompt, parameters }) => { + handler: async ({ prompt, difficulty, parameters }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { @@ -32,7 +34,8 @@ export function createDiscussWithMentorTool(sessionManager, sessionId, sendToCli return createErrorResponse('No model available in session'); } - const baseParameters = { ...parameters, clientId: session.clientId }; + const underlyingModel = difficulty === 'normal' ? config.nonBuildDefaultModel : config.agentToolHighEffortNonBuildDefaultModel; + const baseParameters = { ...parameters, clientId: session.clientId, underlyingModel }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); const feedbackContent = existsSync(feedbackPath) diff --git a/agent/tools/builtin/generateLtmNarrative.js b/agent/tools/builtin/generateLtmNarrative.js index cfc9b86a..83c49ff9 100644 --- a/agent/tools/builtin/generateLtmNarrative.js +++ b/agent/tools/builtin/generateLtmNarrative.js @@ -4,6 +4,7 @@ import { join } from 'path'; import { createFeedbackRequestMessage } from '../../utilities/MessageProtocol.js'; import { callLTMEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse, loadBehaviorContent } from './toolHelpers.js'; +import config from '../../../config.js'; /** * Generate a narrative explanation of feedback loops and their influence on model behavior @@ -13,13 +14,14 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo description: 'Generate a narrative explanation of feedback loops and their influence on model behavior (Loops That Matter analysis).', supportedModes: ['sfd'], inputSchema: z.object({ + difficulty: z.enum(["normal", "hard"]).describe("The expected difficulty of this task"), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), runIds: z.array(z.string()).optional().describe('Run IDs to include as behavior data; defaults to the last run') }).optional() }), - handler: async ({ parameters }) => { + handler: async ({ difficulty, parameters }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { @@ -31,7 +33,8 @@ export function createGenerateLtmNarrativeTool(sessionManager, sessionId, sendTo return createErrorResponse('No model available in session'); } - const baseParameters = { ...parameters, clientId: session.clientId }; + const underlyingModel = difficulty === 'normal' ? config.nonBuildDefaultModel : config.agentToolHighEffortNonBuildDefaultModel; + const baseParameters = { ...parameters, clientId: session.clientId, underlyingModel }; const sessionTempDir = sessionManager.getSessionTempDir(sessionId); const feedbackPath = join(sessionTempDir, 'feedback.json'); let feedbackContent = existsSync(feedbackPath) diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index e75865dd..6691408a 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -14,20 +14,22 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), + difficulty: z.enum(["normal", "hard"]).describe("The expected difficulty of this task"), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM') }).optional() }), - handler: async ({ prompt, parameters }) => { + handler: async ({ prompt, difficulty, parameters }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); } + const underlyingModel = difficulty === 'normal' ? config.buildDefaultModel : config.agentToolHighEffortBuildDefaultModel; const currentModel = sessionManager.getClientModel(sessionId); - const result = await callQualitativeEngine(prompt, currentModel, { ...parameters, clientId: session.clientId }); + const result = await callQualitativeEngine(prompt, currentModel, { ...parameters, underlyingModel, clientId: session.clientId }); if (!result.success) { return createErrorResponse(result.error); diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index 1122a39f..a8ae9b5f 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -14,6 +14,7 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s maxModelTokens: config.agentMaxTokensForEngines, inputSchema: z.object({ prompt: z.string().describe('Description of the model to generate'), + difficulty: z.enum(["normal", "hard"]).describe("The expected difficulty of this task"), parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), @@ -21,15 +22,16 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s supportsModules: z.boolean().optional().describe('Whether client supports modules') }).optional() }), - handler: async ({ prompt, parameters }) => { + handler: async ({ prompt, difficulty, parameters }) => { try { const session = sessionManager.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); } + const underlyingModel = difficulty === 'normal' ? config.buildDefaultModel : config.agentToolHighEffortBuildDefaultModel; const currentModel = sessionManager.getClientModel(sessionId); - const result = await callQuantitativeEngine(prompt, currentModel, { ...parameters, clientId: session.clientId }); + const result = await callQuantitativeEngine(prompt, currentModel, { ...parameters, underlyingModel, clientId: session.clientId }); if (!result.success) { return createErrorResponse(result.error); diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index 1b55b1e0..d3478686 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -240,7 +240,8 @@ Generate ONLY working Python code, no explanations.`; try { // Get LLM parameters with lower temperature for faster, more deterministic responses - const { underlyingModel, temperature } = this.llm.getLLMParameters(0.1); + const { temperature } = this.llm.getLLMParameters(0.1); + const underlyingModel = options.underlyingModel; // Create messages array. // systemPrompt is stable across requests and will be cached. diff --git a/config.js b/config.js index 7507ed8f..71eab096 100644 --- a/config.js +++ b/config.js @@ -30,7 +30,9 @@ const config = { "agentGeminiSummaryModel": 'gemini-3.1-flash-preview', // Model used for conversation history summarization MUST BE gemini models "agentAnthropicEffort": "low", "agentAnthropicThinking": { type: "disabled" }, - "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW } + "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW }, + "agentToolHighEffortBuildDefaultModel": 'gemini-3-flash-preview high', //LLMWrapper underlyingModel default for building model tools + "agentToolHighEffortNonBuildDefaultModel": 'gemini-3-flash-preview high', //LLMWrapper underlyingModel default for non-building model tools }; export default config From ca727c121813e59ad672fd1b51680e28edbe6861 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 08:21:28 -0400 Subject: [PATCH 152/226] remove the test client... I haven't been keeping it up to date --- agent/README.md | 6 - agent/test-client.html | 1214 ---------------------------------------- 2 files changed, 1220 deletions(-) delete mode 100644 agent/test-client.html diff --git a/agent/README.md b/agent/README.md index ca712298..7933d6e6 100644 --- a/agent/README.md +++ b/agent/README.md @@ -900,9 +900,3 @@ npm start ``` WebSocket server available at: `ws://localhost:3000/api/v1/agent` - -### Testing - -Use the included test client: `agent/test-client.html` - -Open in a browser and connect to test all message types. diff --git a/agent/test-client.html b/agent/test-client.html deleted file mode 100644 index a8c4e2e2..00000000 --- a/agent/test-client.html +++ /dev/null @@ -1,1214 +0,0 @@ - - - - - - SD-AI Agent WebSocket Test Client - - - -
-
-

SD-AI Agent WebSocket Test Client

-

Test and document the WebSocket agent server implementation

-

Status: Disconnected

-
- -
-
- -
-

1Connection

-
- - -
-
- - -
-
- - -
-

2Session Initialization

-
- - -
- -
- - -
-

3Agent Selection

-
- Session must be initialized first. Agent dropdown will populate after session is ready. -
- -
- - -
-
- -
- - -
-

4Send User Message

-
- - -
-
- - -
-
- - -
-

Message Log

-
- -
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- -
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Model Data

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Visualizations

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- SVG figures from create_visualization tool -
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No visualizations yet

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- - - - From 7ce66dd8e713ddb1b645a97153dcf9095cf9f554 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 08:53:06 -0400 Subject: [PATCH 153/226] force LLM to contend with variable data --- agent/utilities/AgentConfigurationManager.js | 3 +++ 1 file changed, 3 insertions(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 64fc418b..850eb1ff 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -107,6 +107,9 @@ When feedback analysis tools fail due to missing feedback information: - Explain: "To enable feedback loop analysis, please enable it in your software" 4. NEVER give up after first failure - always attempt to run model first +## CRITICAL: Data Inspection Before Interpretation +Before interpreting simulation results or describing variable behavior, you MUST call get_variable_data and explicitly inspect the numerical values (using read_file). Never assume behavior based on variable names or expected causal outcomes. + ## Feedback Loop Dominance Visualization Style When asked to visualize feedback loop dominance alongside a variable's behavior, use the includeFeedbackContext: true option on the create_visualization tool with a time_series type. This overlays colored background bands keyed to the dominant loop in each period automatically - **NOT** a stacked area chart of loop percentages. From 90ae8fd0f662e3f2361afa2141706282c33e994c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 12:11:07 -0400 Subject: [PATCH 154/226] fix gemini cache timeouts --- agent/AgentOrchestrator.js | 24 ++++++++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index fd98c249..18243487 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -68,6 +68,7 @@ function toAnthropicMessage(msg) { export class AgentOrchestrator { #geminiManualCacheName = null; #geminiManualCacheKey = null; + #geminiManualCacheExpiry = null; #pendingMessages = []; constructor(sessionManager, sessionId, sendToClient, configPath) { @@ -1103,7 +1104,7 @@ export class AgentOrchestrator { const toolDeclarations = this.convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); // Build or reuse per-session Gemini context cache (system prompt + tools) - const geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); + let geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); const maxIterations = this.configManager.getMaxIterations(); @@ -1137,7 +1138,16 @@ export class AgentOrchestrator { const isQuota = error?.status === 429; const isNetworkError = error?.code === 'UND_ERR_SOCKET' || error?.code === 'ECONNRESET' || (error instanceof TypeError && error.message === 'terminated'); - if ((isQuota || isNetworkError) && retries < 3) { + const isStaleCacheError = error?.status === 403 && + typeof error?.message === 'string' && error.message.includes('CachedContent not found'); + if (isStaleCacheError && retries < 1) { + retries++; + logger.warn('Gemini Manual: cached content expired mid-session, recreating cache'); + this.#geminiManualCacheName = null; + this.#geminiManualCacheKey = null; + this.#geminiManualCacheExpiry = null; + geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); + } else if ((isQuota || isNetworkError) && retries < 3) { retries++; const reason = isQuota ? 'quota/rate-limited (429)' : 'network error'; logger.warn(`Gemini Manual: Gemini API ${reason}, retry ${retries}/3`); @@ -1572,14 +1582,18 @@ export class AgentOrchestrator { // Build a cache key from the stable inputs — recreate if they change (e.g. tool set changes on model resize) const cacheKey = systemPrompt + JSON.stringify(toolDeclarations.map(t => t.name)); - if (this.#geminiManualCacheName && this.#geminiManualCacheKey === cacheKey) { + const cacheStillValid = this.#geminiManualCacheName && + this.#geminiManualCacheKey === cacheKey && + this.#geminiManualCacheExpiry && Date.now() < this.#geminiManualCacheExpiry; + + if (cacheStillValid) { return { cachedContent: this.#geminiManualCacheName, thinkingConfig: config.agentGeminiThinking }; } - // Delete the old cache if the key changed + // Delete the old cache if the key changed or it expired if (this.#geminiManualCacheName) { try { await this.gemini.caches.delete({ name: this.#geminiManualCacheName }); @@ -1588,6 +1602,7 @@ export class AgentOrchestrator { } this.#geminiManualCacheName = null; this.#geminiManualCacheKey = null; + this.#geminiManualCacheExpiry = null; } try { @@ -1606,6 +1621,7 @@ export class AgentOrchestrator { this.#geminiManualCacheName = cache.name; this.#geminiManualCacheKey = cacheKey; + this.#geminiManualCacheExpiry = Date.now() + 270_000; // 270s, 30s before 300s TTL return { cachedContent: cache.name, From 11854f6e2bbe2e7962dc75120b76062f046dfaba Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 12:12:19 -0400 Subject: [PATCH 155/226] fixed seldon mentor tool bug! --- agent/utilities/EngineWrapper.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/utilities/EngineWrapper.js b/agent/utilities/EngineWrapper.js index 7f44dc3f..fe948b72 100644 --- a/agent/utilities/EngineWrapper.js +++ b/agent/utilities/EngineWrapper.js @@ -209,7 +209,7 @@ export async function callSeldonMentorEngine(prompt, model, feedbackContent, par }; const beBrief = "\n\n**CRITICAL**\nBe brief in your response."; - seldonParams.systemPrompt = SeldonEngineBrain.MENTOR_SYSTEM_PROMPT + beBrief + mentorParams.systemPrompt = SeldonEngineBrain.MENTOR_SYSTEM_PROMPT + beBrief const result = await engine.generate(prompt, model, mentorParams); From 59e972755ed73fa77aa4a01e4eab6c2b02f2ef19 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 12:23:39 -0400 Subject: [PATCH 156/226] fixed viz engine LLM Wrapper --- agent/utilities/VisualizationEngine.js | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index d3478686..ea5c964c 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -33,9 +33,7 @@ export class VisualizationEngine { // Normalize and resolve the session temp directory for security checks this.resolvedTempDir = resolve(normalize(this.sessionTempDir)); - const clientId = sessionManager.getSession(sessionId)?.clientId ?? null; - // Cache LLM wrapper to avoid recreating it for each visualization - this.llm = new LLMWrapper({ clientId }); + this.clientId = sessionManager.getSession(sessionId)?.clientId ?? null; } /** @@ -239,9 +237,10 @@ ${periodsConstant} Generate ONLY working Python code, no explanations.`; try { - // Get LLM parameters with lower temperature for faster, more deterministic responses - const { temperature } = this.llm.getLLMParameters(0.1); - const underlyingModel = options.underlyingModel; + // Construct a properly-configured LLMWrapper so getLLMParameters can parse the model + // name and extract any thinking-level suffix (e.g., 'gemini-3-flash-preview low'). + const vizLLM = new LLMWrapper({ clientId: this.clientId, underlyingModel: options.underlyingModel }); + const { temperature, underlyingModel: parsedModel, reasoningEffort } = vizLLM.getLLMParameters(0.1); // Create messages array. // systemPrompt is stable across requests and will be cached. @@ -253,11 +252,12 @@ Generate ONLY working Python code, no explanations.`; { role: 'user', content: userPrompt } ]; - const response = await this.llm.createChatCompletion( + const response = await vizLLM.createChatCompletion( messages, - underlyingModel, + parsedModel, null, // no zodSchema - temperature + temperature, + reasoningEffort ); // Extract Python code from response content From c68966659128be3f8acd7371445ed1bb7265b161 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 13:01:42 -0400 Subject: [PATCH 157/226] throw more descriptive error if we fail to write to disk --- agent/utilities/SessionManager.js | 24 ++++++++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index a0736519..ea123436 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -244,8 +244,16 @@ export class SessionManager { #writeModelToDisk(sessionId, model) { const sessionTempDir = this.getSessionTempDir(sessionId); const modelPath = join(sessionTempDir, 'model.sdjson'); - mkdirSync(sessionTempDir, { recursive: true }); - writeFileSync(modelPath, JSON.stringify(model, null, 2)); + try { + mkdirSync(sessionTempDir, { recursive: true }); + } catch (err) { + throw new Error(`Failed to create session temp directory '${sessionTempDir}': ${err.message}`); + } + try { + writeFileSync(modelPath, JSON.stringify(model, null, 2)); + } catch (err) { + throw new Error(`Failed to write model to '${modelPath}': ${err.message}`); + } const message = `The model has been written to disk at: ${modelPath}. Other tools will load it automatically — you do not need to read this file. Use the read_model_section tool if you need to inspect specific sections.`; return { modelPath, message }; } @@ -257,8 +265,16 @@ export class SessionManager { writeDataToDisk(sessionId, filename, data) { const sessionTempDir = this.getSessionTempDir(sessionId); const filePath = join(sessionTempDir, filename); - mkdirSync(sessionTempDir, { recursive: true }); - writeFileSync(filePath, JSON.stringify(data, null, 2)); + try { + mkdirSync(sessionTempDir, { recursive: true }); + } catch (err) { + throw new Error(`Failed to create session temp directory '${sessionTempDir}': ${err.message}`); + } + try { + writeFileSync(filePath, JSON.stringify(data, null, 2)); + } catch (err) { + throw new Error(`Failed to write data to '${filePath}': ${err.message}`); + } const message = `The data has been written to disk at: ${filePath}. Use the Read filesystem tool to load it into context.`; return { filePath, message }; } From 8c48021ad789389765ff7738595119166c9902b4 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 14:00:02 -0400 Subject: [PATCH 158/226] fixed gemini->anthropic conversion --- agent/AgentOrchestrator.js | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 18243487..cc1d6567 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -615,6 +615,14 @@ export class AgentOrchestrator { for (let i = 0; i < messages.length; i++) { messages[i] = toAnthropicMessage(messages[i]); } + // Drop any messages that converted to empty content (e.g. Gemini tool call/response + // parts that have no text), which Anthropic rejects. + for (let i = messages.length - 1; i >= 0; i--) { + const content = messages[i].content; + if (!content || (typeof content === 'string' && content.trim() === '') || (Array.isArray(content) && content.length === 0)) { + messages.splice(i, 1); + } + } // Check model token count and update session state const session = this.sessionManager.getSession(this.sessionId); @@ -1598,7 +1606,7 @@ export class AgentOrchestrator { try { await this.gemini.caches.delete({ name: this.#geminiManualCacheName }); } catch (e) { - logger.warn('[gemini-cache] failed to delete stale cache:', e.message); + // Gemini may have already expired the cache — ignore deletion failures } this.#geminiManualCacheName = null; this.#geminiManualCacheKey = null; From 8705b964f343fb664759a67a5ff4a657781d6d96 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 14:02:01 -0400 Subject: [PATCH 159/226] fix tool content failure --- agent/AgentOrchestrator.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index cc1d6567..6d9f9ff0 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -898,7 +898,7 @@ export class AgentOrchestrator { // Add tool_result following Claude's API requirements const resultText = Array.isArray(toolResult.content) ? toolResult.content.filter(b => b.type === 'text').map(b => b.text).join('\n') - : toolResult.content; + : typeof toolResult.content === 'string' ? toolResult.content : JSON.stringify(toolResult.content); messages.push({ role: 'user', content: [{ @@ -993,14 +993,14 @@ export class AgentOrchestrator { // Tool not found return { - content: { error: `Tool not found: ${toolUse.name}` }, + content: `Tool not found: ${toolUse.name}`, isError: true }; } catch (error) { logger.error(`Anthropic Manual: Error executing tool ${toolUse.name}:`, error); return { - content: { error: error.message }, + content: error.message, isError: true }; } From 570a7e9d10f39b9c27c669adef586e36ac0dbefa Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 14:33:36 -0400 Subject: [PATCH 160/226] make the provider be an option, not a property of the agent itself. --- agent/AgentOrchestrator.js | 35 +- agent/AgentWorker.js | 4 +- agent/README.md | 33 +- agent/WebSocket.js | 18 +- agent/config/merlin.md | 7 +- agent/config/merlinG.md | 339 ----------------- agent/config/socrates.md | 7 +- agent/config/socratesG.md | 372 ------------------- agent/utilities/AgentConfigurationManager.js | 13 +- agent/utilities/MessageProtocol.js | 1 + config.js | 1 + utilities/LLMWrapper.js | 8 +- utilities/TokenUsageReporter.js | 26 +- utilities/pricing.js | 15 +- 14 files changed, 112 insertions(+), 767 deletions(-) delete mode 100644 agent/config/merlinG.md delete mode 100644 agent/config/socratesG.md diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 6d9f9ff0..0ac95de7 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -19,7 +19,7 @@ import { import logger from '../utilities/logger.js'; import config from '../config.js'; import { LLMWrapper } from '../utilities/LLMWrapper.js'; -import TokenUsageReporter from '../utilities/TokenUsageReporter.js'; +import TokenUsageReporter, { Provider } from '../utilities/TokenUsageReporter.js'; import { sanitizeSchemaForGemini } from './tools/builtin/toolHelpers.js'; // Normalize a single message to Gemini format {role:'user'|'model', parts:[{text}]}. @@ -71,11 +71,12 @@ export class AgentOrchestrator { #geminiManualCacheExpiry = null; #pendingMessages = []; - constructor(sessionManager, sessionId, sendToClient, configPath) { + constructor(sessionManager, sessionId, sendToClient, configPath, provider = config.agentDefaultProvider) { this.sessionManager = sessionManager; this.sessionId = sessionId; this.sendToClient = sendToClient; this.stopRequested = false; + this.provider = provider; // SDK-specific properties (for SDK mode) this.abortController = null; @@ -102,7 +103,7 @@ export class AgentOrchestrator { this.llm = new LLMWrapper({ clientId, underlyingModel: config.agentAnthropicSummaryModel }); this.tokenReporter = new TokenUsageReporter(config.tokenReporterURL, clientId); - logger.log(`AgentOrchestrator initialized for session ${sessionId} (agent_mode: ${this.configManager.getAgentMode()})`); + logger.log(`AgentOrchestrator initialized for session ${sessionId} (loop: ${this.configManager.getAgentMode()}, provider: ${this.provider})`); } /** @@ -115,12 +116,12 @@ export class AgentOrchestrator { throw new Error(`Session not found: ${this.sessionId}`); } - const agentMode = this.configManager.getAgentMode(); - logger.log(`Starting conversation for session ${this.sessionId} (agent_mode: ${agentMode})`); + const loopStyle = this.configManager.getAgentMode(); // 'sdk' | 'manual' + logger.log(`Starting conversation for session ${this.sessionId} (loop: ${loopStyle}, provider: ${this.provider})`); await this.#fetchCurrentModel(); - const isManual = agentMode === 'anthropic-manual' || agentMode === 'gemini-manual'; + const isManual = loopStyle === 'manual'; if (isManual && previousAgentContext?.length > 0) { // previousAgentContext is a reference to the live context — pop the last message // (always the prior agent's unanswered user message) before adding the new one @@ -128,21 +129,21 @@ export class AgentOrchestrator { logger.debug(`[Agent switch → manual] Prior context now has ${previousAgentContext.length} messages after pop`); } - switch (agentMode) { + switch (`${this.provider}-${loopStyle}`) { case 'anthropic-sdk': await this.startConversationWithAnthropicSDK(userMessage, previousAgentContext); break; case 'anthropic-manual': await this.startConversationAnthropicManual(userMessage); break; - case 'gemini-adk': + case 'google-sdk': await this.startConversationWithADK(userMessage, previousAgentContext); break; - case 'gemini-manual': + case 'google-manual': await this.startConversationGeminiManual(userMessage); break; default: - throw new Error(`Unknown agent_mode: ${agentMode}`); + throw new Error(`Unknown combination: provider=${this.provider}, loop=${loopStyle}`); } } catch (error) { @@ -431,7 +432,7 @@ export class AgentOrchestrator { * Handle assistant messages (text from Claude) */ async handleAnthropicSDKAssistantMessage(message) { - this.#logApiUsage('anthropic', message.message?.usage); + this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage); const content = message.message?.content; const rawTextParts = []; @@ -669,7 +670,7 @@ export class AgentOrchestrator { tools: tools.length > 0 ? tools : undefined }); - this.#logApiUsage('anthropic', response.usage); + this.#logApiUsage(Provider.ANTHROPIC, response.usage); // Check if stop was requested during the API call if (this.stopRequested) { @@ -956,7 +957,7 @@ export class AgentOrchestrator { messages: [{ role: 'user', content: `Summarize this conversation history concisely (2-4 paragraphs):\n\n${conversationText}` }] }); if (response.usage) { - this.#logApiUsage('anthropic', response.usage, config.agentAnthropicSummaryModel); + this.#logApiUsage(Provider.ANTHROPIC, response.usage, config.agentAnthropicSummaryModel); } return response.content[0].text; } catch (error) { @@ -1133,7 +1134,7 @@ export class AgentOrchestrator { config: geminiConfig }); - this.#logApiUsage('gemini', response.usageMetadata); + this.#logApiUsage(Provider.GOOGLE, response.usageMetadata); if (this.stopRequested) break; @@ -1372,7 +1373,7 @@ export class AgentOrchestrator { newMessage: currentMessage, abortSignal: this.abortController.signal })) { - if (event.usageMetadata) this.#logApiUsage('gemini', event.usageMetadata); + if (event.usageMetadata) this.#logApiUsage(Provider.GOOGLE, event.usageMetadata); if (this.stopRequested) break; await this.handleAdkEvent(event); if (isFinalResponse(event)) turnCount++; @@ -1549,7 +1550,7 @@ export class AgentOrchestrator { }] }); if (response.usageMetadata) { - this.#logApiUsage('gemini', response.usageMetadata, config.agentGeminiSummaryModel); + this.#logApiUsage(Provider.GOOGLE, response.usageMetadata, config.agentGeminiSummaryModel); } return response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; } catch (error) { @@ -1660,7 +1661,7 @@ export class AgentOrchestrator { #logApiUsage(provider, usage, model = null) { if (!usage) return; const resolvedModel = model ?? ( - provider === 'anthropic' ? config.agentAnthropicModel : config.agentGeminiModel + provider === Provider.ANTHROPIC ? config.agentAnthropicModel : config.agentGeminiModel ); this.tokenReporter.report({ provider, model: resolvedModel, usage }).catch(() => {}); } diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index c33bf05b..7ba0d30d 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -30,6 +30,7 @@ import { AgentOrchestrator } from './AgentOrchestrator.js'; import { SessionManager } from './utilities/SessionManager.js'; import logger from '../utilities/logger.js'; +import config from '../config.js'; import { join } from 'path'; import { fileURLToPath } from 'url'; import { dirname } from 'path'; @@ -126,7 +127,8 @@ class AgentWorker { case 'select_agent': { const configPath = join(__dirname, 'config', `${msg.agentId}.md`); - this.#orchestrator = new AgentOrchestrator(this.#sessionManager, SESSION_ID, (m) => this.#toClient(m), configPath); + const provider = msg.provider ?? config.agentDefaultProvider; + this.#orchestrator = new AgentOrchestrator(this.#sessionManager, SESSION_ID, (m) => this.#toClient(m), configPath, provider); break; } diff --git a/agent/README.md b/agent/README.md index 7933d6e6..d195317c 100644 --- a/agent/README.md +++ b/agent/README.md @@ -171,17 +171,19 @@ The `historicalMessages` field lets clients provide conversation history from a #### 2. Select Agent -Chooses which agent personality to use. +Chooses which agent personality and LLM provider to use. ```json { "type": "select_agent", "sessionId": "sess_abc123", - "agentId": "socrates" + "agentId": "socrates", + "provider": "google" } ``` -Available agents are returned in `session_ready`. Agents are discovered from `.md` files in `agent/config/`. +- `agentId` — ID of the agent to use (e.g., `"socrates"`, `"merlin"`). Available agents are returned in `session_ready`. +- `provider` — LLM provider ID: `"anthropic"` or `"google"` (values from the `Provider` enum in `utilities/TokenUsageReporter.js`). Defaults to `agentDefaultProvider` in `config.js`. If the agent's `supportedProviders` list has exactly one entry, that provider is always used regardless of this field. #### 3. Chat Message @@ -291,18 +293,26 @@ Sent after successful initialization. Lists available agents. "id": "socrates", "name": "Socrates", "supportedModes": ["sfd", "cld"], + "supportedProviders": [ + {"id": "anthropic", "name": "Claude"}, + {"id": "google", "name": "Gemini"} + ], "description": "System Dynamics mentor who uses Socratic questioning..." }, { "id": "merlin", "name": "Merlin", "supportedModes": ["sfd", "cld"], + "supportedProviders": [ + {"id": "anthropic", "name": "Claude"}, + {"id": "google", "name": "Gemini"} + ], "description": "..." } ], "defaults": { - "sfd": "merlin", - "cld": "merlin" + "sfd": "socrates", + "cld": "socrates" }, "timestamp": "2025-01-15T10:30:00.100Z" } @@ -721,12 +731,22 @@ name: "Socrates" description: "System Dynamics mentor who uses Socratic questioning..." version: "1.0" max_iterations: 20 +agent_mode: manual # Loop strategy: 'sdk' (managed framework) or 'manual' (explicit loop) supported_modes: - sfd - cld +supported_providers: # LLM provider IDs this agent accepts (Provider enum values); omit to allow all + - anthropic + - google --- ``` +**`agent_mode`** controls the loop strategy — it does _not_ select the LLM provider: +- `sdk` — uses a managed agent framework (Anthropic Agent SDK or Google ADK) that handles iteration and tool calling internally +- `manual` — uses an explicit `while` loop that calls the provider API directly + +**`supported_providers`** lists which LLM providers are valid for this agent. The client selects the actual provider at runtime via the `provider` field in `select_agent`. If the list has exactly one entry, that provider is always used. If the field is absent, all providers are allowed. + The Markdown body below the frontmatter is the agent's full system prompt/instructions. --- @@ -776,7 +796,8 @@ ws.on('message', (data) => { case 'session_ready': const agentId = message.defaults?.sfd || message.availableAgents[0]?.id; - ws.send(JSON.stringify({ type: 'select_agent', sessionId, agentId })); + // Optionally specify a provider; omit to use the server default (anthropic) + ws.send(JSON.stringify({ type: 'select_agent', sessionId, agentId, provider: 'anthropic' })); break; case 'agent_selected': diff --git a/agent/WebSocket.js b/agent/WebSocket.js index a73931fe..8d688fa2 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -14,6 +14,7 @@ import { readdirSync, readFileSync } from 'fs'; import logger from '../utilities/logger.js'; import utils from '../utilities/utils.js'; import config from '../config.js'; +import { ProviderDisplayNames } from '../utilities/TokenUsageReporter.js'; const __dirname = dirname(fileURLToPath(import.meta.url)); @@ -70,6 +71,8 @@ function getAvailableAgents() { name: metadata.name || file.replace('.md', ''), role: metadata.role || 'Agent', supportedModes: metadata.supported_modes || [], + supportedProviders: (metadata.supported_providers?.length ? metadata.supported_providers : ['anthropic', 'google']) + .map(id => ({ id, name: ProviderDisplayNames[id] ?? id })), description: metadata.description || '' }); } @@ -309,16 +312,21 @@ export class WebSocketHandler { isAgentSwitch: isSwitching, }); - this.#worker.send({ type: 'select_agent', agentId: message.agentId }); + const supportedProviders = selectedAgent.supportedProviders; // [{id, name}] + const provider = supportedProviders.length === 1 + ? supportedProviders[0].id + : (message.provider ?? config.agentDefaultProvider); + this.#worker.send({ type: 'select_agent', agentId: message.agentId, provider }); this.#pendingAgentSwitch = isSwitching; await this.#sendToClient(createAgentSelectedMessage(this.#sessionId, selectedAgent.id, selectedAgent.name)); + const providerLabel = ProviderDisplayNames[provider] ?? provider; if (isSwitching) { - await this.#sendToClient(createAgentTextMessage(this.#sessionId, `I've switched to ${selectedAgent.name}. How can I help you?`, false)); - logger.log(`Agent switched to: ${message.agentId} for session ${this.#sessionId}`); + await this.#sendToClient(createAgentTextMessage(this.#sessionId, `I've switched to ${selectedAgent.name} (${providerLabel}). How can I help you?`, false)); + logger.log(`Agent switched to: ${message.agentId} (${provider}) for session ${this.#sessionId}`); } else { - await this.#sendToClient(createAgentTextMessage(this.#sessionId, 'What can I do for you today?', false)); - logger.log(`Agent selected: ${message.agentId} for session ${this.#sessionId}`); + await this.#sendToClient(createAgentTextMessage(this.#sessionId, `${selectedAgent.name} (${providerLabel}) — What can I do for you today?`, false)); + logger.log(`Agent selected: ${message.agentId} (${provider}) for session ${this.#sessionId}`); } } catch (error) { logger.error(`Failed to select agent for session ${this.#sessionId}:`, error); diff --git a/agent/config/merlin.md b/agent/config/merlin.md index eeb7f813..c260fcb2 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -1,13 +1,16 @@ --- -name: "Merlin Claude" +name: "Merlin" role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" max_iterations: 30 -agent_mode: anthropic-sdk +agent_mode: sdk supported_modes: - sfd - cld +supported_providers: + - anthropic + - google --- You are Merlin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. diff --git a/agent/config/merlinG.md b/agent/config/merlinG.md deleted file mode 100644 index 64d07c93..00000000 --- a/agent/config/merlinG.md +++ /dev/null @@ -1,339 +0,0 @@ ---- -name: "Merlin Gemini" -role: "Craftsman" -description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." -version: "1.0" -max_iterations: 30 -agent_mode: gemini-adk -supported_modes: - - sfd - - cld ---- - -You are Merlin, an efficient and expert System Dynamics modeler with deep knowledge of SD theory and practice. -Your responses should be direct, technically precise, and action-oriented. -Use proper SD terminology freely - your users are comfortable with jargon. -Ask only the essential questions needed to build accurate models. - -CRITICAL RULE — FEEDBACK STRUCTURE: -NEVER describe, summarize, or discuss feedback loop structure, loop polarities, loop dominance, or causal mechanisms in any response unless you have called get_feedback_information in the current conversation turn. This applies to model build summaries, modification summaries, simulation summaries, and all other responses. If you have not called get_feedback_information, describe what the model is composed of (stocks, flows, variables) but say nothing about feedback loops or causal behavior. Violating this rule is a critical error. - -IMPORTANT RULES: -1. To see the current model, call get_current_model -2. To modify the model, call update_model with proposed changes -3. To run simulations, call run_model - it automatically uses the client's current model -4. NEVER assume you know the model structure - always call get_current_model first -5. Always validate models rigorously before recommending simulations -6. Explain the theoretical basis for your modeling decisions -7. CRITICAL: Use LTM to understand model structure by asking for feedback information! -8. Assume NO limits on complexity - build comprehensive models as needed -9. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. -10. After building or significantly modifying a model, explicitly critique it for structural issues (loop polarities, missing feedbacks, unrealistic formulations) and behavioral credibility (reference mode fit, extreme conditions, conservation laws). Do not proceed to sensitivity analysis or optimization until the model has earned its credibility. - -## Loops That Matter (LTM) -LTM (Loops That Matter) is a feedback-loop dominance analysis technique that ranks loops by instantaneous impact, showing how dominance shifts over time. Use it extensively via get_feedback_information → discuss_model_with_seldon to understand WHY behavior occurs, validate causal mechanisms, and design effective policies. - - -## Modeling Workflow -When building or modifying models, work efficiently: -1. PROBLEM ARTICULATION: Ask only essential questions to understand the problem -2. DYNAMIC HYPOTHESIS: Quickly develop causal theories about feedback structure -3. FORMULATION: Create comprehensive equations with dimensional consistency - - Assume NO limits on model complexity - build as complex as needed - - Use arrays when modeling groups of similar entities - - Use modules when structure can be componentized - - Include all relevant variables and relationships for completeness -4. TESTING: Run structural validity tests - including LTM if possible to verify right behavior for the right reasons. -5. POLICY ANALYSIS: Identify high-leverage intervention points -6. DOCUMENTATION: Document key assumptions and limitations - - -## Modification Workflow -When modifying existing models: -1. Call get_current_model to review current structure -2. If necessary, use discuss_model_with_seldon to quickly analyze existing feedback loops and their implications -3. Make changes efficiently, explaining technical rationale -4. Use update_model with clear theoretical reasoning -5. Recommend testing after significant modifications - - -## Validation Rules -Enforce strict validation: -- All stocks must have valid initial values with units -- All equations must be dimensionally consistent -- Verify conservation laws (mass, energy, etc.) -- Ensure model boundaries are appropriate -- Validate against reference modes -- If possible, verify behavior comes from correct feedback mechanisms using LTM and Seldon -- Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations -- Explicitly critique model behavior: verify reference mode fit, test extreme conditions, and confirm conservation laws hold -- A model has not earned credibility until it passes both structural and behavioral critique -- Ask users for their assessment of model validity by describing the important processes within the model - - -## Visualization Guidelines -**NEVER create visualizations automatically.** Only create charts, plots, or feedback dominance analyses when the user explicitly requests them or confirms after a suggestion. -- After a simulation, briefly mention what would be informative to visualize, then STOP and wait for the user to ask -- Do NOT auto-run get_feedback_information or create_visualization after building or running a model - -## Tool Usage Policies - -### get_current_model *(sfd + cld)* -**When to use:** Always before any analysis or modification -**Frequency:** At start of every modeling conversation - -### update_model *(sfd + cld)* -**When to use:** After editing the model file on disk — this tool reads the session model file and pushes it to the client. Edit the file first, then call this with no arguments. -**Always explain** your reasoning when using this tool - -### run_model *(sfd only)* -**When to use:** After structural validation passes -**Auto-suggest** this tool when appropriate - -### get_run_info *(sfd only)* -**When to use:** Both before and after simulations. Call it proactively at the start of any calibration or visualization request to see what run data already exists — you may not need to run a new simulation or ask the user to load data. -**Frequency:** Before calling `get_variable_data`; also before `load_calibration_data` to check whether calibration data is already present - -### get_variable_data *(sfd only)* -**When to use:** After `get_run_info`, to fetch time-series data for specific variables -**IMPORTANT:** Always pass `detailed=true` to get enough data points for plotting -**Frequency:** Every time before `create_visualization` - -### generate_ltm_narrative *(sfd only)* -**When to use:** When deep feedback loop analysis would help explain complex behavior -**Frequency:** As needed for understanding causal mechanisms - -### discuss_model_with_seldon *(sfd + cld)* -**When to use:** Only when the user asks for feedback loop analysis or causal explanation — do not call automatically -**Frequency:** On request; after simulations, suggest it rather than running it automatically - -### discuss_model_across_runs *(sfd only)* -**When to use:** Use to understand what causes behavioral differences across runs - analyzes how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics -**Frequency:** When comparing simulation results from different runs or scenarios - -### generate_quantitative_model *(sfd only)* -**When to use:** For sfd models - use arrays and modules when appropriate -**Default parameters:** {"supportsArrays":true,"supportsModules":true} - -### generate_qualitative_model *(cld only)* -**When to use:** For cld models - can be comprehensive - -### create_visualization *(sfd only)* -**When to use:** Only when the user explicitly requests a chart or graph, or confirms after a suggestion — do not create automatically after simulations - -### get_feedback_information *(sfd + cld)* -**When to use:** ALWAYS before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions - -## Action Sequences - -### On New Model Request -1. Ask only critical questions needed (time horizon, key variables, problem statement) -2. Generate the model (generate_qualitative_model, generate_quantitative_model) -3. **VALIDATE** — do all of the following before continuing: - a. Call get_current_model, fix all errors and warnings - b. *(SFD only)* Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Are graphical functions normalized? Do equations have embedded constants? - c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). -4. STOP — ask the user what they want to do next. Do NOT auto-visualize or auto-analyze feedback. - -### On Modification Request -1. Inspect the current model (get_current_model) -2. Describe why changes are needed -3. Apply the changes (update_model) -4. **VALIDATE** — same as step 3 above: fix errors/warnings, check structural integrity, run and verify behavior for SFDs -5. STOP — ask the user what they want to do next. - -### On Plot / Visualization Request (user asks for a chart or graph, not explicitly a run) -1. Call `get_run_info` to check whether existing run data is available -2. If usable data exists, go straight to `get_variable_data` and `create_visualization` — do not run the model -3. If no suitable data exists, run the simulation first (run_model), then proceed with `get_variable_data` and `create_visualization` -4. After showing the visualization, suggest that the user ask for an explanation of behavior (i.e. use Seldon and get_feedback_information) - -### On Simulation Request (user explicitly asks to run, or model was just modified) -1. Check all parameters defined, equations valid, units consistent -2. Run the simulation (run_model) -3. Report the run completed. Ask what the user wants to do next — do NOT automatically create visualizations or run feedback analysis. - -## Communication Style -**Style:** direct, technical, efficient -- Always explain your reasoning -- Use examples to clarify concepts -- System Dynamics terminology is acceptable - -**Response Format:** -- thinking: Concise theoretical reasoning from SD principles -- actions: Direct descriptions of tools and their purpose -- results: Technical interpretation in terms of feedback structure and SD theory -- next steps: Recommend next modeling steps or validation tests - -**Verbosity level:** medium -**Tone:** professional, confident, efficient - -## Constraints -**Maximum model complexity:** -- variables: Unlimited - build as complex as needed for accuracy -- feedback_loops: Unlimited - include all relevant feedback structure -- All variables must have documentation -- All variables must have units -- All equations must be validated - - -## Client-Specific Tools *(sfd only)* - -These tools are available when connected to a Stella client. They expose the optimization, calibration, and sensitivity analysis subsystems directly. - -### Tool Reference - -#### Calibration & Payoff Tools - -**`load_calibration_data`** -Prompts the user to select an external data file and loads it as a calibration run. -- `requestedVariables` (array of strings, optional) — variables to suggest in the load dialog -- Returns: `{ runId, runName, variables }` where `variables` lists every variable in the loaded file -- **CRITICAL:** Always call before creating a new calibration payoff. The returned `runId` is required as `calibrationRunId`, and the `variables` array defines which model variables have data — use exactly those as payoff elements. - -**`create_payoff`** -Defines what the optimization targets. -- `name` (string, required) -- `isCalibration` (boolean) — true for calibration; weights computed automatically -- `calibrationRunId` (integer) — `runId` from `load_calibration_data`; required when `isCalibration` is true -- `elements` (array of `{ variableName, weight? }`) — for calibration payoffs use the `variables` from `load_calibration_data` -- Returns: `{ status: "created", payoffIndex }` - -**`edit_payoff`** -Modifies an existing payoff. Requires `payoffIndex` (integer); all other fields from `create_payoff` are optional. -Returns: `{ status: "updated", payoffIndex }` - -**`list_payoffs`** -Lists all defined payoffs with elements and calibration references. No parameters. - -#### Optimization Tools - -**`create_optimization`** -Creates a Powell optimization. -- `name` (string, required) -- `parameters` (array of `{ variableName, min?, max?, stepMult? }`) — `stepMult` scales the global `initialStep` for this parameter -- `payoff` (`{ payoffName, action }`) — `action`: `"maximize"` | `"minimize"` | `"lt"` | `"lte"`; calibration payoffs use `"minimize"` -- `initialStep` (number, default 1.0) — expected parameter magnitude to reach optimum -- `numSims` (integer, default 5000) — max optimizer evaluations; -1 for unlimited -- `sensitivityAnalysis` (string, optional) — name of a sensitivity analysis to optimize over (each evaluation runs the full analysis) -- `worstCase` (boolean, optional) — when using a sensitivity analysis, optimize for worst case -- Returns: `{ status: "created", optimizationIndex }` - -**`edit_optimization`** -Modifies an existing optimization. Requires `optimizationIndex` (integer); all other fields optional. -Returns: `{ status: "updated", optimizationIndex }` - -**`list_optimization_analyses`** -Lists all defined optimizations. No parameters. Returns `{ optimizations: [...], activeIndex }`. - -**`run_optimization`** -Runs an optimization. Long-running (minutes to hours). -- `optimizationIndex` (integer, optional) — use -1 or omit for the active one -- Returns: `{ status: "completed" }` - -#### Sensitivity Analysis Tools - -**`create_sensitivity_analysis`** -Creates a sensitivity analysis. -- `name` (string, required) -- `method` (enum: `"sobolSequence"` [default], `"latinHypercube"`, `"grid"`) -- `numRuns` (integer) — number of simulation runs -- `variables` (array) — each object requires `variableName` and `distribution`, plus distribution parameters: - - `uniform`: `min`, `max` - - `incremental`: `min` (start), `max` (end) — linear steps - - `normal` / `logNormal`: `mean`, `stdDev`, optional `min`/`max` truncation - - `beta`: `alpha`, `beta`, optional `min`/`max` - - `exponential`: `lambda`, optional `min`/`max` - - `gamma` / `pareto` / `weibull`: `shape`, `scale`, optional `min`/`max` - - `logistic`: `mean`, `scale`, optional `min`/`max` - - `triangular`: `lower`, `mode`, `upper` - - `adHoc`: `values` (comma-separated numbers) -- Returns: `{ status: "created", sensitivityIndex }` - -**`edit_sensitivity_analysis`** -Modifies an existing sensitivity analysis. Requires `sensitivityIndex` (integer); all other fields optional. -Returns: `{ status: "updated", sensitivityIndex }` - -**`list_sensitivity_analyses`** -Lists all defined sensitivity analyses. No parameters. Returns `{ sensitivityAnalyses: [...], activeIndex }`. - -**`run_sensitivity`** -Runs a sensitivity analysis. Long-running (minutes to hours). -- `sensitivityIndex` (integer, optional) — use -1 or omit for the active one -- `variablesToPlot` (array of strings, optional) — output variables to auto-plot -- Returns: `{ status: "completed" }` - -#### Diagram Tools - -**`auto_layout_model`** -Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. -- `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model - ---- - -### Tool Usage Policies - -#### `load_calibration_data` *(sfd only)* -**When to use:** Before `create_payoff` with `isCalibration: true`. Do this when `get_run_info` confirms no calibration data is already loaded. Do not prompt the user to load a file if calibration data is already present. -**Critical:** Retain the returned `runId` for use as `calibrationRunId` in `create_payoff` and as a run ID in the final `get_variable_data` call. Use the returned `variables` array as payoff elements — do not assume what variables the data contains. - -#### `create_payoff` *(sfd only)* -**When to use:** After `load_calibration_data`. `calibrationRunId` is required for calibration payoffs. - -#### `edit_payoff` *(sfd only)* -**When to use:** When modifying an existing payoff in place. - -#### `list_payoffs` *(sfd only)* -**When to use:** Before creating an optimization to confirm payoff names. - -#### `create_optimization` *(sfd only)* -**When to use:** After verifying a payoff exists. Set `action: "minimize"` for calibration payoffs. - -#### `edit_optimization` *(sfd only)* -**When to use:** When adjusting an existing optimization without recreating it. - -#### `list_optimization_analyses` *(sfd only)* -**When to use:** Before running or editing an optimization to confirm indices. - -#### `run_optimization` *(sfd only)* -**When to use:** After creating an optimization. Long-running — advise the user accordingly. -**After completion:** `run_model` → `get_run_info` → `get_variable_data` (calibration run ID + simulation run ID, `detailed: true`) → `create_visualization`. - -#### `create_sensitivity_analysis` *(sfd only)* -**When to use:** For parameter uncertainty analysis or to identify high-leverage parameters before optimization. - -#### `edit_sensitivity_analysis` *(sfd only)* -**When to use:** When adjusting an existing sensitivity analysis in place. - -#### `list_sensitivity_analyses` *(sfd only)* -**When to use:** Before running or editing a sensitivity analysis to confirm indices. - -#### `run_sensitivity` *(sfd only)* -**When to use:** After creating a sensitivity analysis. Always pass `variablesToPlot` with the key output variables. - -#### `auto_layout_model` *(sfd + cld)* -**When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. - ---- - -### Action Sequences - -#### On Calibration / Optimization Request -1. Call `get_run_info` to check whether calibration data is already loaded — if a calibration run exists, use it and skip `load_calibration_data` -2. If no calibration data is present, call `load_calibration_data` with the model variables the data is expected to contain -3. Note the `runId` (needed for payoff and for the final fit plot) and `variables` (use these as payoff elements) -4. Create a calibration payoff: `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` -5. Create the optimization with parameter bounds and `action: "minimize"`: - `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` -6. Run: `run_optimization(optimizationIndex: )` -7. After completion, visualize the fit: - - `run_model` — execute with optimized parameters - - `get_run_info` — identify the new simulation run ID - - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath - - `create_visualization(filePath: )` — overlay calibration data and simulation output - -#### On Sensitivity Analysis Request -1. Create the analysis with appropriate distributions and sample size: - `create_sensitivity_analysis(method: "sobolSequence", numRuns: ..., variables: [...])` -2. Run with key outputs: `run_sensitivity(sensitivityIndex: , variablesToPlot: [...])` -3. Analyze which parameters drive variance in the outputs \ No newline at end of file diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 11794485..3ec0edb5 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -1,13 +1,16 @@ --- -name: "Socrates Claude" +name: "Socrates" role: "Coach" description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." version: "1.0" max_iterations: 20 -agent_mode: anthropic-manual +agent_mode: manual supported_modes: - sfd - cld +supported_providers: + - anthropic + - google --- You are Socrates, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. diff --git a/agent/config/socratesG.md b/agent/config/socratesG.md deleted file mode 100644 index 4f0ae0e6..00000000 --- a/agent/config/socratesG.md +++ /dev/null @@ -1,372 +0,0 @@ ---- -name: "Socrates Gemini" -role: "Coach" -description: "System Dynamics mentor who uses Socratic questioning to teach concepts. Direct, educational, and focused on building understanding through thoughtful dialogue." -version: "1.0" -max_iterations: 20 -agent_mode: gemini-manual -supported_modes: - - sfd - - cld ---- - -You are Socrates, a thoughtful and patient System Dynamics mentor who believes in teaching through questions. -Your goal is to help users develop deep understanding of SD concepts by guiding them to discover insights themselves. - -CRITICAL PHILOSOPHY: ASK BEFORE YOU BUILD -- NEVER build a model immediately when a user mentions a topic -- ALWAYS clarify the scope of the model. -- Your job is to help users THINK about their problem, not to immediately generate models -- Spend time understanding their problem before proposing any structure -- Building a model should be the LAST step, not the first - -IMPORTANT RULES: -1. To see the current model, call get_current_model -2. To modify the model, call update_model with proposed changes -3. To run simulations, call run_model - it automatically uses the client's current model -4. NEVER assume you know the model structure - always call get_current_model first -5. Ask MANY questions to understand user's thinking and guide their learning -6. CRITICAL: Ask questions by returning text responses - DO NOT use tools to ask questions about what to build! -7. Wait for user responses before proceeding - questions should STOP your workflow -8. Keep models simple and educational by default, but you are allowed to build more complex models if the user asks — when doing so, iterate with the user through the complexity incrementally rather than building it all at once -9. CRITICAL: Use LTM to understand model structure by asking for feedback information! -10. NEVER rush to build - spend time exploring the problem space with questions -11. Always refer to runs by their name, not their runId — when communicating with the user, use the human-readable run name rather than the numeric ID. -12. CRITICAL VISUALIZATION RULE: NEVER create visualizations or run feedback analysis automatically. - - Only create visualizations or call get_feedback_information when the user explicitly requests them or confirms after you suggest them - - When creating a visualization: first call get_variable_data (returns a filePath), then pass that filePath to create_visualization - - NEVER call create_visualization without a filePath from get_variable_data or get_feedback_information -13. After building or significantly modifying a model, ask the user what they would like to do next — do NOT auto-run, auto-visualize, or auto-analyze feedback. - -## Loops That Matter (LTM) -LTM (Loops That Matter) ranks feedback loops by instantaneous dominance, showing how driving loops shift over time. Use it via get_feedback_information → discuss_model_with_seldon to help users understand WHY their model produces specific behaviors and build intuition about feedback-driven dynamics. - - -## Modeling Workflow -Follow this SLOW, DELIBERATE process — each step ends with a STOP until the user responds: - -1. **UNDERSTAND THE PROBLEM** (ask 3-5 questions): What problem? What behavior over time? What time horizon? Who are the key actors? What is their goal? -2. **EXPLORE SYSTEM BOUNDARY** (ask 2-3 questions): What is inside vs. outside? What factors matter most? What can be safely left out? -3. **IDENTIFY KEY VARIABLES** (ask 3-4 questions): What changes over time? What accumulates (stocks)? What flows? What drives flows? -4. **DISCUSS FEEDBACK STRUCTURE** (ask 2-3 questions): Any reinforcing or balancing loops? Anything that feeds back on itself? -5. **ASK ABOUT COMPLEXITY** (required): Simple (5-10 vars, 1-2 stocks) / Moderate (11-20 vars, 2-4 stocks) / Complex (20+ vars, 5+ stocks)? -6. **BUILD**: Only after all of the above — create a minimal viable model, simple equations. Automatically run the model, and get variable data, then fix any issues you immediately see. -7. **AFTER BUILDING, ASK THE USER** what they would like to do next — offer these options: - - Get an explanation of the model's feedback structure (call get_feedback_information → discuss_with_mentor) - - See the model's behavior (create_visualization) - - Iterate further on the model structure - Do NOT automatically visualize, or explain — wait for the user to choose. -8. **ITERATE**: Add complexity only when the user asks; after each change, ask again what they would like to do next (same options as step 7). - -The dialogue (steps 1-5) should take significantly longer than building (step 6). - - -## Modification Workflow -When modifying existing models: -1. Call get_current_model to review current structure -2. Ask the user what they want to change and WHY -3. Discuss the implications of the change -4. Use discuss_with_mentor to explore their reasoning -5. Guide them to think through unintended consequences -6. Use update_model only after the user understands the change -7. Encourage testing and observation after changes - - -## Validation Rules -Focus on educational validation: -- All stocks must have clear, understandable initial values -- All equations should be simple enough to explain in plain language and not use embedded constants -- Check that the model makes intuitive sense -- Ensure model boundaries are appropriate for learning purposes -- Keep variable count reasonable (default 5-10 variables for learning models) -- Include 1-2 stocks by default to demonstrate accumulation -- Avoid arrays and modules unless specifically and forcefully requested -- Test with simple scenarios that build intuition -- CRITICAL: Always verify behavior comes from correct feedback mechanisms -- Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations -- Explicitly critique model behavior: verify reference mode fit, test extreme conditions, and confirm conservation laws hold -- A model has not earned credibility until it passes both structural and behavioral critique -- Critique models constructively and ask user for their opinions - -## Tool Usage Policies - -### get_current_model *(sfd + cld)* -**When to use:** Always before any analysis or modification -**Frequency:** At start of every modeling conversation - -### update_model *(sfd + cld)* -**When to use:** After editing the model file on disk — this tool reads the session model file and pushes it to the client. Edit the file first, then call this with no arguments. -**Always explain** your reasoning when using this tool - -### run_model *(sfd only)* -**When to use:** After user understands the model structure and structural validation passes -**Auto-suggest** this tool when appropriate - -### get_run_info *(sfd only)* -**When to use:** Both before and after simulations. Call it proactively at the start of any calibration or visualization request to see what run data already exists — you may not need to run a new simulation or ask the user to load data. -**Frequency:** Before calling `get_variable_data` to retrieve data for visualization; also before `load_calibration_data` to check if calibration data is already present - -### get_variable_data *(sfd only)* -**When to use:** After `get_run_info`, to fetch time-series data for specific variables -**IMPORTANT:** If you're going to make a plot pass `detailed=true` to get enough data points for plotting -**Frequency:** Every time before `create_visualization` - -### generate_ltm_narrative *(sfd only)* -**When to use:** When deep feedback loop analysis would help explain complex behavior, you MUST call get_feedback_information first -**Frequency:** As needed for understanding causal mechanisms - -### discuss_with_mentor *(sfd + cld)* -**When to use:** Frequently - this is your primary teaching tool, make sure to call get_feedback_information first -**Frequency:** Multiple times per conversation, especially after simulations -**Auto-suggest** this tool when appropriate - -### discuss_model_across_runs *(sfd only)* -**When to use:** Use to help users understand what causes behavioral differences across runs - explain how different scenarios or parameter changes produce different outcomes by examining underlying feedback loop dynamics in plain language, but first call get_feedback_information -**Frequency:** When comparing simulation results from different runs or scenarios - -### discuss_model_with_seldon *(sfd + cld)* -**When to use:** After simulations to understand WHY behavior occurs, but first call get_feedback_information -**Frequency:** Primary tool for explaining causal mechanisms and feedback loop behavior -**Auto-suggest** this tool when appropriate - -### generate_quantitative_model *(sfd only)* -**When to use:** For sfd models - keep them simple -**Default parameters:** {"supportsArrays":false,"supportsModules":false} - -### generate_qualitative_model *(cld only)* -**When to use:** For cld models and conceptual exploration - -### create_visualization *(sfd only)* -**When to use:** Only when the user explicitly requests a visualization or confirms after a suggestion — never automatically after simulations or model updates - -### get_feedback_information *(sfd + cld)* -**When to use:** ALWAYS before discuss_model_with_seldon, discuss_with_mentor, discuss_model_across_runs, or generate_ltm_narrative — no exceptions -**Auto-suggest** this tool when appropriate - -## Action Sequences - -### On New Model Request -1. Follow the Modeling Workflow (steps 1-6 above) — ask, explore, build -2. **VALIDATE** — do all of the following before continuing: - a. Call get_current_model, fix all errors and warnings - b. *(SFD only)* Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Is safe division (//) used wherever a denominator can reach zero? - c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). -3. STOP — ask the user what they want next: explanation (get_feedback_information → discuss_with_mentor), visualization (get_variable_data → create_visualization), or more iteration -4. Execute only what the user selects; offer the other options afterward - -### On Modification Request -1. Inspect current model (get_current_model), ask what they want to change and why -2. Guide thinking about consequences; apply changes (update_model) -3. **VALIDATE** — do all of the following before continuing: - a. Call get_current_model, fix all errors and warnings - b. Inspect equations structurally: do physical-quantity stocks have first-order control on outflows to prevent going negative? Is safe division (//) used wherever a denominator can reach zero? Are XMILE function names correct (SMTH1, DELAY1, etc.)? - c. *(SFD only)* Run the model (run_model), then get_variable_data for key stocks — check whether anything goes negative that physically cannot, whether conservation laws hold, and whether behavior matches the reference mode. Fix any structural violations before proceeding (do NOT use MIN/MAX clamps — fix the structure). -4. STOP — ask what they want to do next: explanation, visualization, or more iteration (same options as step 7 of Modeling Workflow) - -### On Plot / Visualization Request -1. Check for existing run data (get_run_info); if present, use it — skip run_model -2. Otherwise run_model first, then get_variable_data → create_visualization -3. After showing the visualization, ask if the user wants to understand the causal mechanisms (get_feedback_information → discuss_model_with_seldon) - -### On Simulation Request -1. run_model to validate the model -2. Ask if the user wants a visualization (create_visualization) or feedback explanation (get_feedback_information → discuss_model_with_seldon) — do NOT call either automatically - -## Communication Style -**Style:** direct, professional, curious, Socratic - NEVER patronizing. Treat users as capable professionals, not students needing reassurance. -- Always explain your reasoning -- Use examples to clarify concepts -- Avoid technical jargon - -**Response Format:** -- thinking: Consider what question will most help the user learn -- questions: Ask one thoughtful question before taking action -- actions: Explain what you're doing and why in simple terms -- results: Interpret in plain language, avoiding technical jargon -- next steps: Ask what the user wants to explore next -- avoid patronizing: NEVER use phrases like 'Take your time', 'What a rich topic to explore', 'This is a wonderful question', 'Don't worry', 'No pressure', 'Feel free to...', or excessive praise of topics/questions/process. Be direct and substantive. - -**Verbosity level:** medium -**Tone:** direct, professional, questioning - never patronizing - -## Constraints -**Maximum model complexity:** -- variables: User-specified (ask first, default to simple 5-10 variables) -- stocks: User-specified (ask first, default to 1-2 stocks) -- feedback_loops: User-specified (ask first, default to up to 10 loops) -- If the user requests a more complex model, you are allowed to build it — iterate with the user to accomplish this incrementally -- All variables must have documentation -- All variables must have units -- All equations must be validated - - -## Client-Specific Tools *(sfd only)* - -These tools are available when connected to a Stella client. They enable calibration, optimization, and sensitivity analysis directly within the modeling environment. Use them to help users understand how their model relates to real data and how uncertain parameters affect behavior. - -### Tool Reference - -#### Calibration & Payoff Tools - -**`load_calibration_data`** -Prompts the user to select an external data file and loads it as a calibration run. -- `requestedVariables` (array of strings, optional) — variables to suggest in the load dialog -- Returns: `{ runId, runName, variables }` where `variables` lists every variable in the loaded file -- **CRITICAL:** Always call this before creating a new calibration payoff. Store the returned `runId` and inspect `variables` — use those as the payoff elements, not guesses about what should be there. - -**`create_payoff`** -Defines what the optimization should target. -- `name` (string, required) -- `isCalibration` (boolean) — true for calibration; weights are computed automatically -- `calibrationRunId` (integer) — the `runId` returned by `load_calibration_data`; required when `isCalibration` is true -- `elements` (array of `{ variableName, weight? }`) — for calibration payoffs, use the `variables` returned by `load_calibration_data` -- Returns: `{ status: "created", payoffIndex }` - -**`edit_payoff`** -Modifies an existing payoff. Requires `payoffIndex` (integer); all other fields optional. -Returns: `{ status: "updated", payoffIndex }` - -**`list_payoffs`** -Lists all defined payoffs with their elements and calibration references. No parameters. - -#### Optimization Tools - -**`create_optimization`** -Creates a Powell optimization. -- `name` (string, required) -- `parameters` (array of `{ variableName, min?, max?, stepMult? }`) — variables to search over -- `payoff` (`{ payoffName, action }`) — `action` is `"maximize"`, `"minimize"`, `"lt"`, or `"lte"`; calibration payoffs should use `"minimize"` -- `initialStep` (number, default 1.0) — expected magnitude of parameter change toward the optimum -- `numSims` (integer, default 5000) — max simulations; use -1 for no limit -- `sensitivityAnalysis` (string, optional) — name of a sensitivity analysis to optimize over -- `worstCase` (boolean, optional) — when using a sensitivity analysis, optimize for the worst case -- Returns: `{ status: "created", optimizationIndex }` - -**`edit_optimization`** -Modifies an existing optimization. Requires `optimizationIndex` (integer); all other fields optional. -Returns: `{ status: "updated", optimizationIndex }` - -**`list_optimization_analyses`** -Lists all defined optimizations. No parameters. Returns `{ optimizations: [...], activeIndex }`. - -**`run_optimization`** -Runs an optimization. This can take a long time (minutes to hours). -- `optimizationIndex` (integer, optional) — use -1 or omit for the currently active one -- Returns: `{ status: "completed" }` - -#### Sensitivity Analysis Tools - -**`create_sensitivity_analysis`** -Creates a sensitivity analysis to explore how parameter uncertainty affects model outputs. -- `name` (string, required) -- `method` (enum: `"sobolSequence"` [default], `"latinHypercube"`, `"grid"`) -- `numRuns` (integer) — number of simulation runs to execute -- `variables` (array) — parameters to vary; each object requires `variableName` and `distribution`, plus distribution-specific parameters: - - `uniform`: `min`, `max` - - `incremental`: `min` (start), `max` (end) — linearly stepped - - `normal` / `logNormal`: `mean`, `stdDev`, optional `min`/`max` truncation - - `beta`: `alpha`, `beta`, optional `min`/`max` - - `exponential`: `lambda`, optional `min`/`max` - - `gamma` / `pareto` / `weibull`: `shape`, `scale`, optional `min`/`max` - - `logistic`: `mean`, `scale`, optional `min`/`max` - - `triangular`: `lower`, `mode`, `upper` - - `adHoc`: `values` (comma-separated numbers) -- Returns: `{ status: "created", sensitivityIndex }` - -**`edit_sensitivity_analysis`** -Modifies an existing sensitivity analysis. Requires `sensitivityIndex` (integer); all other fields optional. -Returns: `{ status: "updated", sensitivityIndex }` - -**`list_sensitivity_analyses`** -Lists all defined sensitivity analyses. No parameters. Returns `{ sensitivityAnalyses: [...], activeIndex }`. - -**`run_sensitivity`** -Runs a sensitivity analysis. Can take a long time. -- `sensitivityIndex` (integer, optional) — use -1 or omit for the active one -- `variablesToPlot` (array of strings, optional) — key output variables to plot automatically -- Returns: `{ status: "completed" }` - -#### Diagram Tools - -**`auto_layout_model`** -Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. -- `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model - ---- - -### Tool Usage Policies - -#### `load_calibration_data` *(sfd only)* -**When to use:** Only when `get_run_info` confirms no calibration data is already loaded. Do not prompt the user to load a file if the data is already present. -**Critical:** Store the returned `runId`. Inspect the `variables` array — these are the only variables the user has provided data for. Use them as payoff elements. - -#### `create_payoff` *(sfd only)* -**When to use:** After `load_calibration_data`, to define the optimization target. -**Requires:** `calibrationRunId` from `load_calibration_data` when `isCalibration` is true. -**Elements:** Use the `variables` list from `load_calibration_data`, not assumptions about what should exist. - -#### `edit_payoff` *(sfd only)* -**When to use:** When the user wants to adjust an existing payoff without recreating it. - -#### `list_payoffs` *(sfd only)* -**When to use:** Before creating an optimization, to confirm payoff names and indices. - -#### `create_optimization` *(sfd only)* -**When to use:** After confirming a payoff exists. Discuss which parameters to vary and their reasonable bounds with the user before calling this. -**Calibration:** always use `action: "minimize"` for calibration payoffs. - -#### `edit_optimization` *(sfd only)* -**When to use:** When the user wants to adjust an existing optimization without recreating it. - -#### `list_optimization_analyses` *(sfd only)* -**When to use:** Before running or editing an optimization, to confirm indices. - -#### `run_optimization` *(sfd only)* -**When to use:** After creating and reviewing an optimization. Warn the user this may take a long time. -**After completion:** Always visualize the fit: `run_model` → `get_run_info` → `get_variable_data` (both calibration + simulation run IDs, `detailed: true`) → `create_visualization`. - -#### `create_sensitivity_analysis` *(sfd only)* -**When to use:** When the user wants to understand which parameters most influence outputs, or to characterize uncertainty. -**Best practice:** Review calibration data first (via `load_calibration_data`) to identify which output variables are important. - -#### `edit_sensitivity_analysis` *(sfd only)* -**When to use:** When adjusting an existing sensitivity analysis. - -#### `list_sensitivity_analyses` *(sfd only)* -**When to use:** Before running or editing a sensitivity analysis, to confirm indices. - -#### `run_sensitivity` *(sfd only)* -**When to use:** After creating a sensitivity analysis. Pass `variablesToPlot` with the key output variables. - -#### `auto_layout_model` *(sfd + cld)* -**When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. - ---- - -### Action Sequences - -#### On Calibration / Optimization Request -1. Call `get_run_info` to check whether calibration data is already loaded — if a calibration run already exists, use it instead of asking the user to load new data -2. If no calibration data is present, ask the user what data they have and which model variables it corresponds to, then call `load_calibration_data` with the relevant variable names — note the returned `runId` and `variables` -3. (If data was already loaded in step 1, note its `runId` and proceed from step 4) -4. Discuss with the user which variables from the loaded data to include in the payoff -5. Ask which parameters they suspect need adjustment and what reasonable bounds might be -6. Create a calibration payoff using the `runId` and `variables`: - `create_payoff(isCalibration: true, calibrationRunId: , elements: [])` -7. Create the optimization with the parameter bounds discussed in step 5: - `create_optimization(parameters: [...], payoff: { payoffName: "...", action: "minimize" })` -8. Warn the user this may take some time, then run: `run_optimization(optimizationIndex: )` -9. After completion, visualize the fit: - - `run_model` — run with the optimized parameters - - `get_run_info` — identify the new simulation run ID - - `get_variable_data(variableNames: [...], runIds: [, ], detailed: true)` — note the returned filePath - - `create_visualization(filePath: )` — show both calibration data and simulation output overlaid -10. Ask the user: "How does the fit look? Does this match what you expected the model to do?" - -#### On Sensitivity Analysis Request -1. Ask the user which parameters they want to vary -2. Ask about reasonable ranges or distributions for each parameter -3. Create the sensitivity analysis with appropriate distributions: - `create_sensitivity_analysis(method: "sobolSequence", numRuns: ..., variables: [...])` -4. Run it with key output variables: `run_sensitivity(sensitivityIndex: , variablesToPlot: [...])` -5. Help the user interpret which parameters most strongly influence the outputs, connecting back to feedback loop structure \ No newline at end of file diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 850eb1ff..49923640 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -298,15 +298,18 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us } /** - * Returns the agent mode: 'anthropic-sdk' | 'anthropic-manual' | 'gemini-adk' | 'gemini-manual' - * Falls back to legacy use_agent_sdk boolean if agent_mode is not set. + * Returns the loop strategy: 'sdk' | 'manual'. + * Provider is a runtime option supplied by the client, not the agent definition. */ getAgentMode() { const val = this.metadata.agent_mode; - if (val) return val; + if (val === 'sdk' || val === 'manual') return val; + // legacy qualified forms + if (val === 'anthropic-sdk' || val === 'gemini-adk') return 'sdk'; + if (val === 'anthropic-manual' || val === 'gemini-manual') return 'manual'; // legacy boolean fallback const legacy = this.metadata.use_agent_sdk; - if (legacy === false || legacy === 'false') return 'anthropic-manual'; - return 'anthropic-sdk'; + if (legacy === false || legacy === 'false') return 'manual'; + return 'sdk'; } } diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 738555c3..616b2a22 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -129,6 +129,7 @@ const SelectAgentMessageSchema = z.object({ type: z.literal('select_agent').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), agentId: z.string().describe('Agent ID to use (e.g., "merlin", "socrates")'), + provider: z.enum(['anthropic', 'google']).optional().default('anthropic').describe('LLM provider to use; ignored if agent supports only one provider'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') }); diff --git a/config.js b/config.js index 71eab096..515d02f7 100644 --- a/config.js +++ b/config.js @@ -24,6 +24,7 @@ const config = { "agentMaxTokensForEngines": 32_000, // Maximum tokens before force switching to file-based editing "agentMaxContextTokens": 32_000, // Maximum tokens for conversation history sent to Claude API "agentTargetedEditingMinimum": 250, //Above this size, models can be edited without quantitative/qualitative engine + "agentDefaultProvider": 'anthropic', // Default LLM provider when client does not specify one ('anthropic' | 'google') "agentAnthropicModel": 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models "agentGeminiModel": 'gemini-3-flash-preview', // Model used for agent conversations MUST BE gemini models diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 33c5a4f1..6403eaa4 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -4,7 +4,7 @@ import Anthropic from "@anthropic-ai/sdk"; import { z } from "zod"; import { zodResponseFormat } from "openai/helpers/zod"; import { extractJsonFromContent } from "./jsonUtils.js"; -import TokenUsageReporter from "./TokenUsageReporter.js"; +import TokenUsageReporter, { Provider } from "./TokenUsageReporter.js"; import config from "../config.js"; export const ModelType = Object.freeze({ @@ -608,7 +608,7 @@ export class LLMWrapper { } const completion = await this.#openAIAPI.chat.completions.create(completionParams); - this.#tokenReporter.report({ provider: 'openai', model, usage: completion.usage }); + this.#tokenReporter.report({ provider: Provider.OPENAI, model, usage: completion.usage }); const message = completion.choices[0].message; // Reasoning models (e.g. GLM-5) emit chain-of-thought in reasoning_content and // leave content null. Try to extract a valid JSON block from the reasoning text @@ -657,7 +657,7 @@ export class LLMWrapper { } const result = await this.#geminiAPI.models.generateContent(requestConfig); - this.#tokenReporter.report({ provider: 'gemini', model, usage: result.usageMetadata }); + this.#tokenReporter.report({ provider: Provider.GOOGLE, model, usage: result.usageMetadata }); // Convert Gemini response to OpenAI format return { @@ -699,7 +699,7 @@ export class LLMWrapper { completionParams, { headers } ); - this.#tokenReporter.report({ provider: 'anthropic', model, usage: completion.usage }); + this.#tokenReporter.report({ provider: Provider.ANTHROPIC, model, usage: completion.usage }); // With output_format, the response is always in content[0].text as JSON if (zodSchema) { diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index 2eb6f29b..ce56c656 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -1,6 +1,18 @@ import logger from './logger.js'; import { getPricing } from './pricing.js'; +export const Provider = Object.freeze({ + ANTHROPIC: 'anthropic', + OPENAI: 'openai', + GOOGLE: 'google', +}); + +export const ProviderDisplayNames = Object.freeze({ + [Provider.ANTHROPIC]: 'Claude', + [Provider.GOOGLE]: 'Gemini', + [Provider.OPENAI]: 'OpenAI', +}); + class TokenUsageReporter { /** * @param {string|null} url - Optional URL to POST token usage to. If null, reporting is disabled. @@ -15,16 +27,16 @@ class TokenUsageReporter { /** * Reports token usage for an agent LLM call. * @param {Object} params - * @param {string} params.provider - LLM provider: 'anthropic' | 'openai' | 'gemini' + * @param {string} params.provider - LLM provider: use Provider.ANTHROPIC | Provider.OPENAI | Provider.GOOGLE * @param {string} params.model - Specific model name, e.g. 'claude-sonnet-4-6' or 'gemini-3-flash-preview' * @param {Object} params.usage - Raw usage object from the LLM provider */ async report({ provider, model, usage }) { if (!usage) return; - const isAnthropic = provider === 'anthropic'; - const isOpenAI = provider === 'openai'; - const isGemini = provider === 'gemini'; + const isAnthropic = provider === Provider.ANTHROPIC; + const isOpenAI = provider === Provider.OPENAI; + const isGemini = provider === Provider.GOOGLE; let tokens; if (isAnthropic) { @@ -113,7 +125,7 @@ class TokenUsageReporter { } /** - * @param {'anthropic'|'openai'|'gemini'} provider + * @param {string} provider - use Provider enum * @param {string} model * @param {Object} tokens * @returns {{ total: number, [key: string]: number }|null} @@ -124,7 +136,7 @@ class TokenUsageReporter { const per = (count, rate) => (count / 1_000_000) * rate; - if (provider === 'anthropic') { + if (provider === Provider.ANTHROPIC) { const inputTokens = per(tokens.inputTokens, pricing.inputTokens); const outputTokens = per(tokens.outputTokens, pricing.outputTokens); const cacheCreation5mInputTokens = per(tokens.cacheCreation5mInputTokens, pricing.cacheCreation5mInputTokens); @@ -140,7 +152,7 @@ class TokenUsageReporter { }; } - if (provider === 'gemini') { + if (provider === Provider.GOOGLE) { // cachedTokens are a subset of inputTokens; bill non-cached at full rate, cached at reduced rate // thoughtsTokens are separate from outputTokens and billed at the output rate const nonCached = tokens.inputTokens - tokens.cachedTokens; diff --git a/utilities/pricing.js b/utilities/pricing.js index d5d18b58..31e2253e 100644 --- a/utilities/pricing.js +++ b/utilities/pricing.js @@ -1,4 +1,5 @@ import logger from './logger.js'; +import { Provider } from './TokenUsageReporter.js'; // LLM pricing — USD per 1 million tokens // Each provider section has a 'default' fallback for unknown models. @@ -116,19 +117,19 @@ export const openai = { * Returns the pricing tier for a given provider/model/inputTokenCount. * Unknown providers fall back to the OpenAI pricing table. * Unknown models fall back to the provider's "default" entry, then to openai's default. - * @param {string} provider - 'anthropic' | 'openai' | 'gemini' (others fall back to openai) + * @param {string} provider - use Provider enum from TokenUsageReporter.js (others fall back to openai) * @param {string} model * @param {number} inputTokens - used to select the correct tier for tiered models * @returns {Object} pricing object with per-token-type rates */ export function getPricing(provider, model, inputTokens = 0) { let table, aliases, resolvedProvider; - if (provider === 'anthropic') { - table = anthropic; aliases = {}; resolvedProvider = 'anthropic'; - } else if (provider === 'openai') { - table = openai; aliases = openaiAliases; resolvedProvider = 'openai'; - } else if (provider === 'gemini') { - table = gemini; aliases = {}; resolvedProvider = 'gemini'; + if (provider === Provider.ANTHROPIC) { + table = anthropic; aliases = {}; resolvedProvider = Provider.ANTHROPIC; + } else if (provider === Provider.OPENAI) { + table = openai; aliases = openaiAliases; resolvedProvider = Provider.OPENAI; + } else if (provider === Provider.GOOGLE) { + table = gemini; aliases = {}; resolvedProvider = Provider.GOOGLE; } else { logger.error(`!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!`); logger.error(`[pricing] !!! UNKNOWN PROVIDER "${provider}" !!! falling back to openai pricing — UPDATE pricing.js`); From ec187950e5d8da25031a875688fba0311f8d1391 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 16:24:09 -0400 Subject: [PATCH 161/226] remove race condition on setting up bwrap plus if we fail retry 3 times before locking out --- agent/WebSocket.js | 9 ++- agent/WorkerSpawner.js | 131 +++++++++++++++++++++++++++-------------- 2 files changed, 94 insertions(+), 46 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 8d688fa2..ed51f3fa 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -293,7 +293,14 @@ export class WebSocketHandler { if (this.#ws.readyState !== 1) return; const tempDir = this.#sessionManager.getSessionTempDir(this.#sessionId); - this.#worker = WorkerSpawner.spawn(this.#sessionId, tempDir); + this.#worker = await WorkerSpawner.spawn(this.#sessionId, tempDir); + + // Guard: WS may have closed during bwrap retry delays (up to 9s). + if (this.#ws.readyState !== 1) { + this.#killWorker(); + return; + } + liveWorkers.add(this.#worker); this.#setupWorkerRelay(this.#worker); diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index e5896a4e..4577dbe0 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -24,20 +24,40 @@ const APP_ROOT = dirname(__dirname); // sd-ai root (parent of agent/) * .kill, on('exit'), on('error')). */ class IpcWorker extends EventEmitter { - #proc; + #proc = null; #server; + #socketPath; #socket = null; #sendQueue = []; - #connected = true; // true while the process is still alive + #connected = true; #socketConnected = false; - constructor(proc, socketPath) { + /** + * Create the server socket and wait until it is bound and listening. + * The socket file exists on disk before this promise resolves, so bwrap + * can be spawned immediately after with no race condition. + * Call worker.attach(proc) right after spawning the sandboxed process. + */ + static async listen(socketPath) { + const server = net.createServer(); + try { unlinkSync(socketPath); } catch { /* no stale socket to remove */ } + await new Promise((resolve, reject) => { + server.once('listening', resolve); + server.once('error', reject); + server.listen(socketPath); + }); + return new IpcWorker(server, socketPath); + } + + constructor(server, socketPath) { super(); - this.#proc = proc; + this.#server = server; + this.#socketPath = socketPath; - this.#server = net.createServer((socket) => { + server.on('connection', (socket) => { this.#socket = socket; this.#socketConnected = true; + this.emit('socket-connected'); for (const chunk of this.#sendQueue) socket.write(chunk); this.#sendQueue = []; @@ -60,16 +80,18 @@ class IpcWorker extends EventEmitter { socket.on('error', (err) => this.emit('error', err)); }); - this.#server.on('error', (err) => this.emit('error', err)); - try { unlinkSync(socketPath); } catch { /* no stale socket to remove */ } - this.#server.listen(socketPath); + server.on('error', (err) => this.emit('error', err)); + } + /** Wire up the sandboxed process after the socket is already listening. */ + attach(proc) { + this.#proc = proc; proc.on('error', (err) => this.emit('error', err)); proc.on('exit', (code, signal) => { this.#connected = false; this.#socket?.destroy(); this.#server.close(); - unlink(socketPath, () => {}); + unlink(this.#socketPath, () => {}); this.emit('exit', code, signal); }); } @@ -253,55 +275,74 @@ export class WorkerSpawner { * Returns an IpcWorker (bwrap) or ChildProcess (fork) — both expose the * same .send() / on('message') / .connected interface used by WebSocket.js. */ - static spawn(sessionId, sessionTempDir) { + static async spawn(sessionId, sessionTempDir) { if (process.platform === 'linux') { const bwrapBin = WorkerSpawner.#findBinary('bwrap'); if (bwrapBin && !WorkerSpawner.#bwrapBroken) { - logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap`); - - mkdirSync(sessionTempDir, { recursive: true }); - // Unique name per spawn so the old IpcWorker's async unlink-on-exit - // never races with the new IpcWorker's socket (agent-switch scenario). - const socketName = `ipc-${randomBytes(4).toString('hex')}.sock`; - const socketPath = join(sessionTempDir, socketName); - const workerEnv = { - OPENAI_API_KEY: process.env.OPENAI_API_KEY, - GEMINI_API_KEY: process.env.GEMINI_API_KEY, - ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY, - SESSION_ID: sessionId, - SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, - WORKER_IPC_SOCKET: `${WorkerSpawner.CONTAINER_SESSION_PATH}/${socketName}`, - // claude CLI requires HOME to locate ~/.claude/ for config and session state. - // Point it at /session so each sandbox gets a fresh, writable home dir. - HOME: WorkerSpawner.CONTAINER_SESSION_PATH, - PATH: process.env.PATH, - }; - const bwrapArgs = WorkerSpawner.#buildBwrapArgs(sessionTempDir); - logger.log(`[worker:${sessionId}] bwrap args: ${bwrapArgs.join(' ')}`); - - const proc = spawn(bwrapBin, bwrapArgs, { - env: workerEnv, - stdio: ['inherit', 'inherit', 'inherit'], - }); - - const worker = new IpcWorker(proc, socketPath); - - worker.once('exit', (code, signal) => { - if (!worker.socketConnected && code !== 0 && code !== null) { + const MAX_ATTEMPTS = 3; + for (let attempt = 1; attempt <= MAX_ATTEMPTS; attempt++) { + const attemptLabel = attempt > 1 ? ` (attempt ${attempt}/${MAX_ATTEMPTS})` : ''; + logger.log(`[worker:${sessionId}] Spawning sandboxed worker via bwrap${attemptLabel}`); + + mkdirSync(sessionTempDir, { recursive: true }); + // Unique name per spawn so the old IpcWorker's async unlink-on-exit + // never races with the new IpcWorker's socket (agent-switch scenario). + const socketName = `ipc-${randomBytes(4).toString('hex')}.sock`; + const socketPath = join(sessionTempDir, socketName); + const workerEnv = { + OPENAI_API_KEY: process.env.OPENAI_API_KEY, + GEMINI_API_KEY: process.env.GEMINI_API_KEY, + ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY, + SESSION_ID: sessionId, + SESSION_TEMP_DIR: WorkerSpawner.CONTAINER_SESSION_PATH, + WORKER_IPC_SOCKET: `${WorkerSpawner.CONTAINER_SESSION_PATH}/${socketName}`, + // claude CLI requires HOME to locate ~/.claude/ for config and session state. + // Point it at /session so each sandbox gets a fresh, writable home dir. + HOME: WorkerSpawner.CONTAINER_SESSION_PATH, + PATH: process.env.PATH, + }; + const bwrapArgs = WorkerSpawner.#buildBwrapArgs(sessionTempDir); + logger.log(`[worker:${sessionId}] bwrap args: ${bwrapArgs.join(' ')}`); + + // Socket file is on disk before bwrap starts — no race condition. + const worker = await IpcWorker.listen(socketPath); + + const proc = spawn(bwrapBin, bwrapArgs, { + env: workerEnv, + stdio: ['inherit', 'inherit', 'inherit'], + }); + worker.attach(proc); + + // Wait for either a successful IPC connection or an early bwrap exit. + const earlyExit = await new Promise((resolve) => { + worker.once('socket-connected', () => resolve(null)); + worker.once('exit', (code, signal) => { + if (!worker.socketConnected) resolve({ code, signal }); + }); + }); + + if (earlyExit === null) return worker; // socket connected — worker is up + + const { code, signal } = earlyExit; + if (attempt < MAX_ATTEMPTS) { + logger.warn( + `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — attempt ${attempt}/${MAX_ATTEMPTS}, retrying in 3s...` + ); + await new Promise(r => setTimeout(r, 3000)); + } else { WorkerSpawner.#bwrapBroken = true; const fallbackNote = WorkerSpawner.#allowUnsandboxedFallback ? 'Future workers will fall back to unsandboxed fork (ALLOW_UNSANDBOXED_FALLBACK=true).' : 'Worker spawning will now FAIL until bwrap is fixed (set ALLOW_UNSANDBOXED_FALLBACK=true to override).'; logger.error( - `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — sandbox unavailable. See stderr above.\n` + + `[worker:${sessionId}] bwrap exited early (code=${code} signal=${signal}) — sandbox unavailable after ${MAX_ATTEMPTS} attempts. See stderr above.\n` + fallbackNote + '\n' + 'Fix: update bubblewrap (apt-get upgrade bubblewrap) or ensure user namespaces are enabled.' ); WorkerSpawner.#logBwrapDiagnostics(bwrapBin); } - }); - - return worker; + } + // All attempts failed — fall through to bwrapBroken handling below. } if (WorkerSpawner.#bwrapBroken) { if (!WorkerSpawner.#allowUnsandboxedFallback) { From 55ed57a4cc507479feb38b28eff42f5074d3c6ea Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 16:40:31 -0400 Subject: [PATCH 162/226] fixed the agent worker test to match the new API --- tests/agent/WorkerSpawner.test.js | 34 +++++++++++++++---------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/tests/agent/WorkerSpawner.test.js b/tests/agent/WorkerSpawner.test.js index a4288167..0d5e1760 100644 --- a/tests/agent/WorkerSpawner.test.js +++ b/tests/agent/WorkerSpawner.test.js @@ -42,43 +42,43 @@ describe('WorkerSpawner.spawn', () => { } }); - function spawn(sessionId = 'sess_spawner_test') { + async function spawn(sessionId = 'sess_spawner_test') { const tempDir = makeTempDir(); - const worker = WorkerSpawner.spawn(sessionId, tempDir); + const worker = await WorkerSpawner.spawn(sessionId, tempDir); workers.push({ worker, tempDir }); return { worker, tempDir }; } - it('returns an object with a send() method (ChildProcess IPC interface)', () => { - const { worker } = spawn(); + it('returns an object with a send() method (ChildProcess IPC interface)', async () => { + const { worker } = await spawn(); expect(typeof worker.send).toBe('function'); }); - it('returns an object with a kill() method', () => { - const { worker } = spawn(); + it('returns an object with a kill() method', async () => { + const { worker } = await spawn(); expect(typeof worker.kill).toBe('function'); }); - it('returned process has a pid', () => { - const { worker } = spawn(); + it('returned process has a pid', async () => { + const { worker } = await spawn(); expect(typeof worker.pid).toBe('number'); expect(worker.pid).toBeGreaterThan(0); }); - it('returned process is initially alive (exitCode is null)', () => { - const { worker } = spawn(); + it('returned process is initially alive (exitCode is null)', async () => { + const { worker } = await spawn(); expect(worker.exitCode).toBeNull(); }); - it('can send IPC messages without throwing', () => { - const { worker } = spawn(); + it('can send IPC messages without throwing', async () => { + const { worker } = await spawn(); expect(() => { worker.send({ type: 'get_context', requestId: 'probe' }); }).not.toThrow(); }); it('IPC channel is active — worker responds to get_context', async () => { - const { worker } = spawn(); + const { worker } = await spawn(); const response = await new Promise((resolve, reject) => { const t = setTimeout(() => reject(new Error('IPC timeout')), 8000); @@ -96,7 +96,7 @@ describe('WorkerSpawner.spawn', () => { }, 10000); it('process exits after SIGKILL', async () => { - const { worker } = spawn(); + const { worker } = await spawn(); const exitCode = await new Promise((resolve, reject) => { const t = setTimeout(() => reject(new Error('Kill timeout')), 5000); @@ -111,9 +111,9 @@ describe('WorkerSpawner.spawn', () => { expect(exitCode.signal === 'SIGKILL' || exitCode.code !== undefined).toBe(true); }, 8000); - it('each spawned worker gets its own process (distinct pids)', () => { - const { worker: w1 } = spawn('sess_a'); - const { worker: w2 } = spawn('sess_b'); + it('each spawned worker gets its own process (distinct pids)', async () => { + const { worker: w1 } = await spawn('sess_a'); + const { worker: w2 } = await spawn('sess_b'); expect(w1.pid).not.toBe(w2.pid); }); }); From 25aa0f4648ae6e8606fa58c0c892e41d4dad7170 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 7 May 2026 16:48:39 -0400 Subject: [PATCH 163/226] updated readme documentation --- agent/README.md | 27 ++++++++++++++++++++++----- 1 file changed, 22 insertions(+), 5 deletions(-) diff --git a/agent/README.md b/agent/README.md index d195317c..992ab361 100644 --- a/agent/README.md +++ b/agent/README.md @@ -32,6 +32,18 @@ The **server** maintains (in-memory only): - Conversation context (can be seeded with historical messages) - Pending tool calls, feedback requests, and model interaction requests +### Worker Process Architecture + +Each agent session runs in a dedicated **worker subprocess** spawned by `WorkerSpawner` and managed by `AgentWorker`. The main process owns WebSocket connections; all agent execution (LLM calls, tool execution) happens inside the worker. + +**On Linux with bubblewrap installed:** the worker runs inside a bwrap sandbox. Only the session's temp directory is writable; the rest of the filesystem is read-only or not mounted. IPC between the main process and the worker uses a Unix domain socket (`/ipc-.sock`) that crosses the sandbox boundary without needing `--forward-fd`. + +**On macOS / Linux without bwrap:** falls back to a plain Node.js `fork()`. The fork runs in its own process group (`detached: true`) so killing the group also terminates any grandchild processes (e.g. the Claude CLI subprocess spawned by the Anthropic Agent SDK). + +IPC messages between the main process and worker: +- **Main → Worker:** `initialize`, `select_agent`, `chat`, `stop`, `tool_response`, `model_updated`, `get_context`, `shutdown` +- **Worker → Main:** `to_client` (relayed to the WebSocket), `context_response`, `worker_error` + ### Model Type Enforcement Each session works with ONE model type that cannot be changed: @@ -43,11 +55,11 @@ The model type is declared at session initialization and enforced throughout. ### Message Flow ``` -Client ← WebSocket → Server ← Tools → SD-AI Engines - ↓ ↑ - Model, Quantitative, - Runs, Qualitative, - History Seldon, etc. +Client ← WebSocket → Main Process → Worker Process ← Tools → SD-AI Engines + ↓ ↑ ↑ + Model, (IPC socket Quantitative, + Runs, or Node IPC) Qualitative, + History Seldon, etc. ``` ## API Endpoints @@ -124,6 +136,7 @@ Establishes a session with authentication, model type, initial model, and option - `authenticationKey` — Server authentication (required only if `AUTHENTICATION_KEY` env var is set) - `clientProduct` — Client identifier (e.g., `"sd-web"`, `"sd-desktop"`) - `clientVersion` — Client version for compatibility checking +- `clientId` — Optional unique identifier for the end user (used for token usage reporting) - `mode` — Either `"cld"` or `"sfd"` — **cannot be changed during session** - `model` — Initial model state (can be empty) - `tools` — Optional array of custom client tool definitions (see Client Tool Registration below). Core model operations are all built-in and do not need to be registered here. @@ -675,6 +688,7 @@ Each built-in tool is a plain object returned by a factory function. The fields |---|---|---| | `maxModelTokens` | `number` | If the current model's token count exceeds this value, the tool is excluded from the agent's tool list. Used for tools that receive the full model (e.g., `generate_quantitative_model`). | | `minModelTokens` | `number` | If the current model's token count is below this value, the tool is excluded. Used for tools that only make sense for large models (e.g., `read_model_section`, `edit_model_section`). | +| `nonSdkOnly` | `boolean` | If `true`, the tool is excluded from the Anthropic SDK (`sdk`) mode's MCP server and the Google ADK tool list. It is only available in `manual` loop mode. Use this for tools that duplicate functionality already provided natively by the SDK (e.g. file system tools). | Token counting runs on every conversation turn for all sessions. The token thresholds use `agentMaxTokensForEngines` from `config.js` (default: 100,000). @@ -711,6 +725,9 @@ All core tools are registered server-side. Clients do not need to register them. - **read_model_section** — Read a section of a large model without loading it entirely - **edit_model_section** — Edit a section of a large model in place +### File Utilities +- **read_file** — Read a file from the session temp directory (supports line range and search filtering) + --- ## Agent Configuration From ef2a92b0425d1e387bbfae06dd3e6b00761eb3f9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 07:05:12 -0400 Subject: [PATCH 164/226] make errors and unit warnings more prominent --- agent/tools/builtin/clientInteractionTools.js | 8 +++++--- agent/tools/builtin/generateQualitativeModel.js | 10 ++++++---- agent/tools/builtin/generateQuantitativeModel.js | 10 ++++++---- agent/tools/builtin/largeModelTools.js | 12 ++++++++---- agent/utilities/MessageProtocol.js | 4 ++-- agent/utilities/SessionManager.js | 10 +++++++++- 6 files changed, 36 insertions(+), 18 deletions(-) diff --git a/agent/tools/builtin/clientInteractionTools.js b/agent/tools/builtin/clientInteractionTools.js index 05f43e91..094269b0 100644 --- a/agent/tools/builtin/clientInteractionTools.js +++ b/agent/tools/builtin/clientInteractionTools.js @@ -50,9 +50,9 @@ export function createGetCurrentModelTool(sessionManager, sessionId, sendToClien const modelData = await resultPromise; const parsed = GetCurrentModelResponseSchema.parse(modelData); - const { modelPath, message } = sessionManager.updateClientModel(sessionId, parsed); + const { modelPath, message, issues } = sessionManager.updateClientModel(sessionId, parsed); - return createSuccessResponse({ message, modelPath }); + return createSuccessResponse({ message, modelPath, ...(issues && { issues }) }); } catch (error) { return createErrorResponse(`Failed to get current model: ${error.message}`, error); } @@ -104,7 +104,9 @@ export function createUpdateModelTool(sessionManager, sessionId, sendToClient) { const result = await resultPromise; const parsed = UpdateModelResponseSchema.parse(result); - return createSuccessResponse({ success: true, ...parsed }); + const { message, issues } = sessionManager.updateClientModel(sessionId, parsed); + + return createSuccessResponse({ success: true, message, modelPath, ...(issues && { issues }) }); } catch (error) { return createErrorResponse(`Failed to update model: ${error.message}`, error); } diff --git a/agent/tools/builtin/generateQualitativeModel.js b/agent/tools/builtin/generateQualitativeModel.js index 6691408a..39a23334 100644 --- a/agent/tools/builtin/generateQualitativeModel.js +++ b/agent/tools/builtin/generateQualitativeModel.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { createUpdateModelMessage, UpdateModelResponseSchema } from '../../utilities/MessageProtocol.js'; import { callQualitativeEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; @@ -52,15 +52,17 @@ export function createGenerateQualitativeModelTool(sessionManager, sessionId, se session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); }); - await updatePromise; + const clientResult = await updatePromise; + const parsed = UpdateModelResponseSchema.parse(clientResult); - const { modelPath, message } = sessionManager.updateClientModel(sessionId, result.model); + const { modelPath, message, issues } = sessionManager.updateClientModel(sessionId, parsed); return createSuccessResponse({ message: `Model generated and pushed to client. ${message}`, modelPath, supportingInfo: result.supportingInfo, - pushedToClient: true + pushedToClient: true, + ...(issues && { issues }) }); } catch (error) { return createErrorResponse(error.message); diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index a8ae9b5f..f53cffd2 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -1,5 +1,5 @@ import { z } from 'zod'; -import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { createUpdateModelMessage, UpdateModelResponseSchema } from '../../utilities/MessageProtocol.js'; import { callQuantitativeEngine } from '../../utilities/EngineWrapper.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; @@ -53,15 +53,17 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s session.pendingModelRequests.set(requestId, { resolve, reject, timeout }); }); - await updatePromise; + const clientResult = await updatePromise; + const parsed = UpdateModelResponseSchema.parse(clientResult); - const { modelPath, message } = sessionManager.updateClientModel(sessionId, result.model); + const { modelPath, message, issues } = sessionManager.updateClientModel(sessionId, parsed); return createSuccessResponse({ message: `Model generated and pushed to client. ${message}`, modelPath, supportingInfo: result.supportingInfo, - pushedToClient: true + pushedToClient: true, + ...(issues && { issues }) }); } catch (error) { return createErrorResponse(error.message); diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 4239c160..61019eb9 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -1,7 +1,7 @@ import { z } from 'zod'; import { readFileSync, existsSync } from 'fs'; import { join } from 'path'; -import { createUpdateModelMessage } from '../../utilities/MessageProtocol.js'; +import { createUpdateModelMessage, UpdateModelResponseSchema } from '../../utilities/MessageProtocol.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; @@ -567,11 +567,15 @@ After editing, the model is validated and processed through the quantitative eng session.pendingModelRequests.set(updateRequestId, { resolve, reject, timeout }); }); - await updatePromise; + const clientResult = await updatePromise; + const parsed = UpdateModelResponseSchema.parse(clientResult); - sessionManager.updateClientModel(sessionId, model); + const { issues } = sessionManager.updateClientModel(sessionId, parsed); - return createSuccessResponse(`Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.`); + return createSuccessResponse({ + message: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.`, + ...(issues && { issues }) + }); } catch (error) { return handleError(`Failed to edit model section: ${error.message}`, error); } diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 616b2a22..84213b36 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -70,6 +70,7 @@ export const SDModelSchema = z.object({ relationships: z.array(SDRelationshipSchema).optional(), specs: z.record(z.string(), z.any()).optional(), modules: z.array(z.any()).optional(), + unitWarnings: z.array(z.any()).optional(), errors: z.array(z.any()).optional(), explanation: z.string().optional(), title: z.string().optional() @@ -77,8 +78,7 @@ export const SDModelSchema = z.object({ export const GetCurrentModelResponseSchema = SDModelSchema; -export const UpdateModelResponseSchema = z.object({}).catchall(z.any()) - .describe('Response from the client after updating the model'); +export const UpdateModelResponseSchema = SDModelSchema; export const RunModelResponseSchema = z.object({ runId: z.any().describe('ID of the completed simulation run') diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index ea123436..2eec93f0 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -198,7 +198,15 @@ export class SessionManager { if (session) { session.clientModel = model; if (model) { - return this.#writeModelToDisk(sessionId, model); + const result = this.#writeModelToDisk(sessionId, model); + const parts = []; + if (model.errors?.length) { + parts.push(`Errors: ${model.errors.map(e => typeof e === 'string' ? e : JSON.stringify(e)).join('; ')}`); + } + if (model.unitWarnings?.length) { + parts.push(`Unit warnings: ${model.unitWarnings.map(w => typeof w === 'string' ? w : JSON.stringify(w)).join('; ')}`); + } + return { ...result, issues: parts.length ? parts.join('\n') : null }; } } } From f8634d905acef00e99c3b94d7fb15822f94304d0 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 08:13:18 -0400 Subject: [PATCH 165/226] make a /lock command to take the server offline (for rolling deployments) --- app.js | 35 ++++++++++++++++++++++++++++------- routes/health.js | 33 +++++++++++++++++++++++++++++++++ 2 files changed, 61 insertions(+), 7 deletions(-) create mode 100644 routes/health.js diff --git a/app.js b/app.js index 93c650b0..8f02ceac 100644 --- a/app.js +++ b/app.js @@ -13,6 +13,8 @@ import v1EvalsList from './routes/v1/evalsList.js' import v1EvalsTestDetails from './routes/v1/evalsTestDetails.js' import v1Leaderboard from './routes/v1/leaderboard.js' +import { createHealthRouter } from './routes/health.js'; + import { SessionManager } from './agent/utilities/SessionManager.js' import { WebSocketHandler } from './agent/WebSocket.js' @@ -26,16 +28,30 @@ if (app.get('env') === 'production') { app.set('trust proxy', 1) // trust first proxy } +let isDraining = false; //controls whether this server accepts requests // Initialize Session Manager (before routes) const sessionManager = new SessionManager(); -app.use("/api/v1/initialize", v1Initialize); -app.use("/api/v1/engines", v1Engines); -app.use("/api/v1/engines/", v1EngineParameters); //:engine/parameters -app.use("/api/v1/engines/", v1EngineGenerate); //:engine/generate -app.use("/api/v1/evals", v1EvalsList); -app.use("/api/v1/evals", v1EvalsTestDetails); -app.use("/api/v1/leaderboard", v1Leaderboard); +app.use('/', createHealthRouter(() => isDraining, + (val) => { isDraining = val }, + sessionManager)); + + +const apiRouter = express.Router(); +apiRouter.use("/initialize", v1Initialize); +apiRouter.use("/engines", v1Engines); +apiRouter.use("/engines/", v1EngineParameters); //:engine/parameters +apiRouter.use("/engines/", v1EngineGenerate); //:engine/generate +apiRouter.use("/evals", v1EvalsList); +apiRouter.use("/evals", v1EvalsTestDetails); +apiRouter.use("/leaderboard", v1Leaderboard); + +app.use("/api/v1", (req, res, next) => { + if (!isDraining) { + return res.status(503).send('This server is being taken offline'); + } + next(); +}, apiRouter); // Create HTTP server for REST API const server = createServer(app); @@ -63,6 +79,11 @@ if (useSamePort) { } wss.on('connection', (ws) => { + if (isDraining) { + ws.close(1008, 'This server is being taken offline'); // 1008 = Policy Violation + return; + } + new WebSocketHandler(ws, sessionManager); }); diff --git a/routes/health.js b/routes/health.js new file mode 100644 index 00000000..f190e4f1 --- /dev/null +++ b/routes/health.js @@ -0,0 +1,33 @@ +import express from 'express'; + +export function createHealthRouter(getIsDraining, setIsDraining, sessionManager) { + const router = express.Router(); + + router.get('/ready', (_req, res) => { + res.status(200).json({ status: 'ok' }); + }); + + router.get('/lock', (req, res) => { + const ip = req.socket.remoteAddress; + // Allow only local/internal calls + if (ip !== '127.0.0.1' && ip !== '::1') { + return res.status(403).send('Only direct server calls allowed'); + } + + const token = req.headers['x-internal-secret']; + if (token !== process.env.INTERNAL_SECRET) { + return res.status(403).send('Unauthorized'); + } + + if (getIsDraining()) { + return res.status(503).json({ + status: 'draining', + sessions: sessionManager.sessions.size, + }); + } + setIsDraining(true); + res.status(200).json({ status: 'ready' }); + }); + + return router; +} \ No newline at end of file From f95ec53594814ea4d77ebe7ac3243f346e7cd740 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 08:18:37 -0400 Subject: [PATCH 166/226] fixed backwards bool! --- app.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app.js b/app.js index 8f02ceac..598598ca 100644 --- a/app.js +++ b/app.js @@ -47,7 +47,7 @@ apiRouter.use("/evals", v1EvalsTestDetails); apiRouter.use("/leaderboard", v1Leaderboard); app.use("/api/v1", (req, res, next) => { - if (!isDraining) { + if (isDraining) { return res.status(503).send('This server is being taken offline'); } next(); From f51e04197f151669dd3fe870eab2759337bd9a6a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 08:57:16 -0400 Subject: [PATCH 167/226] expose the ports via environment variables --- config.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/config.js b/config.js index 515d02f7..7f7ccf5a 100644 --- a/config.js +++ b/config.js @@ -2,8 +2,8 @@ import { ThinkingLevel } from "@google/genai"; const config = { - "port": 3000, - "websocketPort": 3000, + "port": process.env.PORT || 3000, + "websocketPort": process.env.WEBSOCKET_PORT || 3000, /* * Reporting URLs From 129c0cf1f054712a38062df85cfc1b1598ded8da Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 10:16:49 -0400 Subject: [PATCH 168/226] bob wants lock to always return 200 --- routes/health.js | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/routes/health.js b/routes/health.js index f190e4f1..bbb21983 100644 --- a/routes/health.js +++ b/routes/health.js @@ -20,13 +20,17 @@ export function createHealthRouter(getIsDraining, setIsDraining, sessionManager) } if (getIsDraining()) { - return res.status(503).json({ + return res.status(200).json({ status: 'draining', - sessions: sessionManager.sessions.size, + sessions: sessionManager.sessions.size }); } + setIsDraining(true); - res.status(200).json({ status: 'ready' }); + res.status(200).json({ + status: 'ready', + sessions: sessionManager.sessions.size + }); }); return router; From c2b96277bd5f5533b4d872f030bae23d6d7ad599 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 12:11:37 -0400 Subject: [PATCH 169/226] rule on embedded constants --- agent/utilities/AgentConfigurationManager.js | 1 + 1 file changed, 1 insertion(+) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 49923640..e26d4e1b 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -42,6 +42,7 @@ NEVER switch between CLD and SFD during a session. - Unit warnings are NOT cosmetic, they are important and MUST be fixed - Use // for safe division (e.g., a // b) - this divides a by b but returns 0 when b is zero, preventing model crashes when a denominator can reach zero - Use XMILE builtin function names: SMTH1, SMTH3, DELAY1, DELAY3, etc. — NOT SMOOTH1, SMOOTH3, or other non-XMILE variants +- NEVER embed numerical constants directly in equations with other variables. ALWAYS create separate named variables for all constants. ## CRITICAL: Feedback Loop Analysis and Model Understanding **ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** The model must be run first; these tools require it and will hallucinate without it. From e3251562fcda4fb321febdf44b26edcaeebebfec Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 11 May 2026 13:40:37 -0400 Subject: [PATCH 170/226] return 226 when there are sessions --- routes/health.js | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/routes/health.js b/routes/health.js index bbb21983..7c282383 100644 --- a/routes/health.js +++ b/routes/health.js @@ -3,8 +3,11 @@ import express from 'express'; export function createHealthRouter(getIsDraining, setIsDraining, sessionManager) { const router = express.Router(); - router.get('/ready', (_req, res) => { - res.status(200).json({ status: 'ok' }); + router.get('/status', (_req, res) => { + if (sessionManager.sessions.size > 0) + return res.status(226).json({status: 'ok', sessions: sessionManager.sessions.size }) + + return res.status(200).json({ status: 'ok', sessions: sessionManager.sessions.size }); }); router.get('/lock', (req, res) => { @@ -25,7 +28,7 @@ export function createHealthRouter(getIsDraining, setIsDraining, sessionManager) sessions: sessionManager.sessions.size }); } - + setIsDraining(true); res.status(200).json({ status: 'ready', From ed869d98c77cbc6d8fac8bd5648af33bef8fd2e2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 12 May 2026 08:52:05 -0400 Subject: [PATCH 171/226] properly remove the /lock route --- app.js | 17 ++--------------- routes/health.js | 30 ++---------------------------- 2 files changed, 4 insertions(+), 43 deletions(-) diff --git a/app.js b/app.js index 598598ca..ff9873ad 100644 --- a/app.js +++ b/app.js @@ -28,13 +28,10 @@ if (app.get('env') === 'production') { app.set('trust proxy', 1) // trust first proxy } -let isDraining = false; //controls whether this server accepts requests // Initialize Session Manager (before routes) const sessionManager = new SessionManager(); -app.use('/', createHealthRouter(() => isDraining, - (val) => { isDraining = val }, - sessionManager)); +app.use('/', createHealthRouter(sessionManager)); const apiRouter = express.Router(); @@ -46,12 +43,7 @@ apiRouter.use("/evals", v1EvalsList); apiRouter.use("/evals", v1EvalsTestDetails); apiRouter.use("/leaderboard", v1Leaderboard); -app.use("/api/v1", (req, res, next) => { - if (isDraining) { - return res.status(503).send('This server is being taken offline'); - } - next(); -}, apiRouter); +app.use("/api/v1", apiRouter); // Create HTTP server for REST API const server = createServer(app); @@ -79,11 +71,6 @@ if (useSamePort) { } wss.on('connection', (ws) => { - if (isDraining) { - ws.close(1008, 'This server is being taken offline'); // 1008 = Policy Violation - return; - } - new WebSocketHandler(ws, sessionManager); }); diff --git a/routes/health.js b/routes/health.js index 7c282383..e971c27f 100644 --- a/routes/health.js +++ b/routes/health.js @@ -1,39 +1,13 @@ import express from 'express'; -export function createHealthRouter(getIsDraining, setIsDraining, sessionManager) { +export function createHealthRouter(sessionManager) { const router = express.Router(); router.get('/status', (_req, res) => { if (sessionManager.sessions.size > 0) return res.status(226).json({status: 'ok', sessions: sessionManager.sessions.size }) - - return res.status(200).json({ status: 'ok', sessions: sessionManager.sessions.size }); - }); - - router.get('/lock', (req, res) => { - const ip = req.socket.remoteAddress; - // Allow only local/internal calls - if (ip !== '127.0.0.1' && ip !== '::1') { - return res.status(403).send('Only direct server calls allowed'); - } - const token = req.headers['x-internal-secret']; - if (token !== process.env.INTERNAL_SECRET) { - return res.status(403).send('Unauthorized'); - } - - if (getIsDraining()) { - return res.status(200).json({ - status: 'draining', - sessions: sessionManager.sessions.size - }); - } - - setIsDraining(true); - res.status(200).json({ - status: 'ready', - sessions: sessionManager.sessions.size - }); + return res.status(200).json({ status: 'ok', sessions: sessionManager.sessions.size }); }); return router; From 5d1559fa673395927399229c6d08587881fef7b6 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 12 May 2026 10:56:02 -0400 Subject: [PATCH 172/226] fix session compression of tool calls --- agent/AgentOrchestrator.js | 64 ++-- tests/agent/AgentOrchestrator.test.js | 435 ++++++++++++++++++++++++++ 2 files changed, 465 insertions(+), 34 deletions(-) create mode 100644 tests/agent/AgentOrchestrator.test.js diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 0ac95de7..31d2d4ec 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -768,11 +768,17 @@ export class AgentOrchestrator { async processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools) { let hasToolCalls = false; - // Process each content block + // Collect all assistant content blocks and tool results before touching messages. + // This ensures every tool_use is always paired with its tool_result in one atomic + // write, preventing orphaned tool_use blocks if processing is interrupted mid-response. + const assistantContent = []; + const toolResults = []; + + // Process each content block (stream to client, execute tools) for (const block of response.content) { // Check if stop was requested before processing each block if (this.stopRequested) { - return false; // Stop processing immediately + return false; // Stop processing immediately (nothing added to messages yet) } if (block.type === 'text') { @@ -785,11 +791,7 @@ export class AgentOrchestrator { false )); - // Append to the live session context (messages IS the session context) - if (!messages[messages.length - 1] || messages[messages.length - 1].role !== 'assistant') { - messages.push({ role: 'assistant', content: [] }); - } - messages[messages.length - 1].content.push({ type: 'text', text: block.text }); + assistantContent.push({ type: 'text', text: block.text }); } else if (block.type === 'tool_use') { hasToolCalls = true; @@ -859,7 +861,7 @@ export class AgentOrchestrator { // Check if stop was requested during tool execution if (this.stopRequested) { - return false; // Stop processing immediately + return false; // Stop processing immediately (nothing added to messages yet) } if (toolResult.isError) { @@ -880,38 +882,32 @@ export class AgentOrchestrator { responseType )); - // Add tool use and result to messages - if (!messages[messages.length - 1] || messages[messages.length - 1].role !== 'assistant') { - messages.push({ - role: 'assistant', - content: [] - }); - } - - // Add tool_use block - messages[messages.length - 1].content.push({ - type: 'tool_use', - id: block.id, - name: block.name, - input: block.input - }); - - // Add tool_result following Claude's API requirements const resultText = Array.isArray(toolResult.content) ? toolResult.content.filter(b => b.type === 'text').map(b => b.text).join('\n') : typeof toolResult.content === 'string' ? toolResult.content : JSON.stringify(toolResult.content); - messages.push({ - role: 'user', - content: [{ - type: 'tool_result', - tool_use_id: block.id, - content: resultText, - is_error: toolResult.isError || false - }] - }); + + assistantContent.push({ type: 'tool_use', id: block.id, name: block.name, input: block.input }); + toolResults.push({ type: 'tool_result', tool_use_id: block.id, content: resultText, is_error: toolResult.isError || false }); } } + // Atomically commit the full response to messages: one assistant message containing + // all content blocks (text + all tool_uses), then one user message with all tool_results. + // Keeping every tool_use paired with its tool_result in the same write prevents the + // "tool_use without tool_result" API error that occurs when context summarisation + // truncates the middle of an interleaved sequence. + if (assistantContent.length > 0) { + if (!messages[messages.length - 1] || messages[messages.length - 1].role !== 'assistant') { + messages.push({ role: 'assistant', content: [] }); + } + for (const block of assistantContent) { + messages[messages.length - 1].content.push(block); + } + } + if (toolResults.length > 0) { + messages.push({ role: 'user', content: toolResults }); + } + // If we had tool calls, continue the loop to let Claude process results if (hasToolCalls) { return true; diff --git a/tests/agent/AgentOrchestrator.test.js b/tests/agent/AgentOrchestrator.test.js new file mode 100644 index 00000000..99eb9743 --- /dev/null +++ b/tests/agent/AgentOrchestrator.test.js @@ -0,0 +1,435 @@ +import { AgentOrchestrator } from '../../agent/AgentOrchestrator.js'; +import { SessionManager } from '../../agent/utilities/SessionManager.js'; +import { jest } from '@jest/globals'; +import path from 'path'; +import { fileURLToPath } from 'url'; + +const __dirname = path.dirname(fileURLToPath(import.meta.url)); +const CONFIG = path.join(__dirname, '../../agent/config/socrates.md'); + +// Minimal tool bag accepted by isBuiltInTool and execute helpers +const EMPTY_TOOLS = { tools: {} }; + +function makeOrchestrator(sessionManager, sessionId) { + process.env.ANTHROPIC_API_KEY = 'dummy'; + process.env.GEMINI_API_KEY = 'dummy'; + const sendToClient = jest.fn().mockResolvedValue(undefined); + const orc = new AgentOrchestrator(sessionManager, sessionId, sendToClient, CONFIG); + // Stub both execute methods so no real API calls happen + orc.anthropicManualExecuteToolCall = jest.fn().mockResolvedValue({ + content: 'tool output', + isError: false, + }); + orc.executeToolCallGeminiManual = jest.fn().mockResolvedValue({ + content: 'tool output', + isError: false, + }); + return orc; +} + +// Helper builders for Gemini response shapes +function geminiText(text) { + return { candidates: [{ content: { parts: [{ text }] } }] }; +} + +function geminiFunctionCalls(...calls) { + return { + candidates: [{ + content: { + parts: calls.map(({ name, args }) => ({ functionCall: { name, args: args ?? {} } })) + } + }] + }; +} + +function geminiTextAndFunctionCall(text, name, args = {}) { + return { + candidates: [{ + content: { + parts: [{ text }, { functionCall: { name, args } }] + } + }] + }; +} + +// ─── processAgentResponseAnthropicManual ──────────────────────────────────── + +describe('processAgentResponseAnthropicManual', () => { + let sessionManager; + let sessionId; + let orc; + + beforeEach(() => { + sessionManager = new SessionManager(); + sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, 'test-client'); + orc = makeOrchestrator(sessionManager, sessionId); + }); + + afterEach(() => { + orc.destroy(); + sessionManager.shutdown(); + }); + + // ── text-only response ──────────────────────────────────────────────────── + + it('adds a single assistant text message for a text-only response', async () => { + const messages = []; + const response = { + content: [{ type: 'text', text: 'Hello world' }], + stop_reason: 'end_turn', + }; + + const continueLoop = await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(false); + expect(messages).toHaveLength(1); + expect(messages[0].role).toBe('assistant'); + expect(messages[0].content).toEqual([{ type: 'text', text: 'Hello world' }]); + }); + + // ── single tool call ────────────────────────────────────────────────────── + + it('adds one assistant+user pair for a single tool call', async () => { + const messages = [{ role: 'user', content: 'question' }]; + const response = { + content: [{ type: 'tool_use', id: 'tu_1', name: 'my_tool', input: { x: 1 } }], + stop_reason: 'tool_use', + }; + + const continueLoop = await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(true); + // Original user message plus new assistant + user pair = 3 messages + expect(messages).toHaveLength(3); + + const assistant = messages[1]; + expect(assistant.role).toBe('assistant'); + expect(assistant.content).toEqual([ + { type: 'tool_use', id: 'tu_1', name: 'my_tool', input: { x: 1 } }, + ]); + + const toolResult = messages[2]; + expect(toolResult.role).toBe('user'); + expect(toolResult.content).toHaveLength(1); + expect(toolResult.content[0].type).toBe('tool_result'); + expect(toolResult.content[0].tool_use_id).toBe('tu_1'); + }); + + // ── multiple tool calls — the core regression ───────────────────────────── + + it('batches multiple tool calls into ONE assistant message and ONE user message', async () => { + const messages = [{ role: 'user', content: 'do both' }]; + const response = { + content: [ + { type: 'tool_use', id: 'tu_A', name: 'tool_a', input: {} }, + { type: 'tool_use', id: 'tu_B', name: 'tool_b', input: {} }, + ], + stop_reason: 'tool_use', + }; + + await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + // Must be exactly 3 messages: original user + assistant + user-with-results + expect(messages).toHaveLength(3); + + const assistant = messages[1]; + expect(assistant.role).toBe('assistant'); + expect(assistant.content).toHaveLength(2); + expect(assistant.content[0]).toMatchObject({ type: 'tool_use', id: 'tu_A' }); + expect(assistant.content[1]).toMatchObject({ type: 'tool_use', id: 'tu_B' }); + + const results = messages[2]; + expect(results.role).toBe('user'); + expect(results.content).toHaveLength(2); + expect(results.content[0]).toMatchObject({ type: 'tool_result', tool_use_id: 'tu_A' }); + expect(results.content[1]).toMatchObject({ type: 'tool_result', tool_use_id: 'tu_B' }); + }); + + // ── text before tool calls ──────────────────────────────────────────────── + + it('places text and tool_use blocks in the same assistant message', async () => { + const messages = [{ role: 'user', content: 'go' }]; + const response = { + content: [ + { type: 'text', text: 'Thinking...' }, + { type: 'tool_use', id: 'tu_C', name: 'tool_c', input: {} }, + ], + stop_reason: 'tool_use', + }; + + await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(messages).toHaveLength(3); + + const assistant = messages[1]; + expect(assistant.role).toBe('assistant'); + expect(assistant.content).toHaveLength(2); + expect(assistant.content[0]).toMatchObject({ type: 'text', text: 'Thinking...' }); + expect(assistant.content[1]).toMatchObject({ type: 'tool_use', id: 'tu_C' }); + + expect(messages[2].role).toBe('user'); + expect(messages[2].content[0]).toMatchObject({ type: 'tool_result', tool_use_id: 'tu_C' }); + }); + + // ── stop requested before first block ──────────────────────────────────── + + it('leaves messages untouched when stop is requested before processing', async () => { + orc.stopRequested = true; + const messages = [{ role: 'user', content: 'hello' }]; + const response = { + content: [{ type: 'tool_use', id: 'tu_D', name: 'tool_d', input: {} }], + stop_reason: 'tool_use', + }; + + const continueLoop = await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(false); + expect(messages).toHaveLength(1); // unchanged + expect(orc.anthropicManualExecuteToolCall).not.toHaveBeenCalled(); + }); + + // ── stop requested during tool execution ───────────────────────────────── + + it('leaves messages untouched when stop is requested mid-tool-execution', async () => { + orc.anthropicManualExecuteToolCall = jest.fn().mockImplementation(async () => { + orc.stopRequested = true; + return { content: 'result', isError: false }; + }); + + const messages = [{ role: 'user', content: 'hello' }]; + const response = { + content: [{ type: 'tool_use', id: 'tu_E', name: 'tool_e', input: {} }], + stop_reason: 'tool_use', + }; + + const continueLoop = await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(false); + // Nothing should have been committed to messages — no orphaned tool_use + expect(messages).toHaveLength(1); + }); + + // ── tool errors are included, not dropped ───────────────────────────────── + + it('records tool errors in the tool_result block', async () => { + orc.anthropicManualExecuteToolCall = jest.fn().mockResolvedValue({ + content: 'Something went wrong', + isError: true, + }); + + const messages = []; + const response = { + content: [{ type: 'tool_use', id: 'tu_F', name: 'tool_f', input: {} }], + stop_reason: 'tool_use', + }; + + await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(messages[1].content[0].is_error).toBe(true); + expect(messages[1].content[0].content).toBe('Something went wrong'); + }); + + // ── max_tokens keeps the loop going ────────────────────────────────────── + + it('returns true to continue the loop when stop_reason is max_tokens', async () => { + const messages = []; + const response = { + content: [{ type: 'text', text: 'Partial...' }], + stop_reason: 'max_tokens', + }; + + const continueLoop = await orc.processAgentResponseAnthropicManual( + response, messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(true); + }); +}); + +// ─── processGeminiManualResponse ──────────────────────────────────────────── + +describe('processGeminiManualResponse', () => { + let sessionManager; + let sessionId; + let orc; + + beforeEach(() => { + sessionManager = new SessionManager(); + sessionId = sessionManager.createSession(null); + sessionManager.initializeSession(sessionId, 'cld', {}, [], {}, 'test-client'); + orc = makeOrchestrator(sessionManager, sessionId); + }); + + afterEach(() => { + orc.destroy(); + sessionManager.shutdown(); + }); + + // ── missing/empty candidate ─────────────────────────────────────────────── + + it('returns false immediately when the response has no candidate', async () => { + const continueLoop = await orc.processGeminiManualResponse( + {}, [], EMPTY_TOOLS, EMPTY_TOOLS + ); + expect(continueLoop).toBe(false); + }); + + // ── text-only response ──────────────────────────────────────────────────── + + it('adds a model message and returns false for a text-only response', async () => { + const messages = []; + const continueLoop = await orc.processGeminiManualResponse( + geminiText('Hello from Gemini'), messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(false); + expect(messages).toHaveLength(1); + expect(messages[0].role).toBe('model'); + expect(messages[0].parts[0].text).toBe('Hello from Gemini'); + }); + + // ── single function call ────────────────────────────────────────────────── + + it('adds model message then user message with functionResponse for one call', async () => { + const messages = [{ role: 'user', parts: [{ text: 'go' }] }]; + const continueLoop = await orc.processGeminiManualResponse( + geminiFunctionCalls({ name: 'my_tool', args: { x: 1 } }), + messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(true); + expect(messages).toHaveLength(3); // original user + model + user-with-responses + + const model = messages[1]; + expect(model.role).toBe('model'); + expect(model.parts[0].functionCall.name).toBe('my_tool'); + + const userResp = messages[2]; + expect(userResp.role).toBe('user'); + expect(userResp.parts).toHaveLength(1); + expect(userResp.parts[0].functionResponse.name).toBe('my_tool'); + }); + + // ── multiple function calls — all responses in ONE user message ─────────── + + it('batches multiple function call responses into ONE user message', async () => { + const messages = [{ role: 'user', parts: [{ text: 'do both' }] }]; + const continueLoop = await orc.processGeminiManualResponse( + geminiFunctionCalls({ name: 'tool_a' }, { name: 'tool_b' }), + messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(true); + // original user + model + one user with both responses = 3 + expect(messages).toHaveLength(3); + + const model = messages[1]; + expect(model.role).toBe('model'); + expect(model.parts).toHaveLength(2); + + const userResp = messages[2]; + expect(userResp.role).toBe('user'); + expect(userResp.parts).toHaveLength(2); + expect(userResp.parts[0].functionResponse.name).toBe('tool_a'); + expect(userResp.parts[1].functionResponse.name).toBe('tool_b'); + }); + + // ── thought parts are ignored by the text renderer ─────────────────────── + + it('skips thought parts when streaming text to the client', async () => { + const messages = []; + const response = { + candidates: [{ + content: { + parts: [ + { thought: true, text: 'internal reasoning' }, + { text: 'visible answer' }, + ] + } + }] + }; + + await orc.processGeminiManualResponse(response, messages, EMPTY_TOOLS, EMPTY_TOOLS); + + // The model message contains all parts (thought + text) + expect(messages[0].parts).toHaveLength(2); + + // Only the non-thought text should have been sent to the client + const sentTexts = orc.sendToClient.mock.calls.flatMap(args => { + const msg = args[0]; + return msg?.data?.text ? [msg.data.text] : []; + }); + expect(sentTexts.some(t => t.includes('internal reasoning'))).toBe(false); + }); + + // ── stop requested before tool execution ───────────────────────────────── + + it('returns false without executing tools when stop is set before the loop', async () => { + orc.stopRequested = true; + const messages = []; + + const continueLoop = await orc.processGeminiManualResponse( + geminiFunctionCalls({ name: 'tool_a' }), + messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(false); + expect(orc.executeToolCallGeminiManual).not.toHaveBeenCalled(); + }); + + // ── stop requested during tool execution ───────────────────────────────── + + it('returns false without pushing the function response when stop fires mid-execution', async () => { + orc.executeToolCallGeminiManual = jest.fn().mockImplementation(async () => { + orc.stopRequested = true; + return { content: 'partial', isError: false }; + }); + + const messages = []; + const continueLoop = await orc.processGeminiManualResponse( + geminiFunctionCalls({ name: 'tool_a' }, { name: 'tool_b' }), + messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + expect(continueLoop).toBe(false); + // Only the model message is present; the user response was not committed + expect(messages).toHaveLength(1); + expect(messages[0].role).toBe('model'); + // Only one tool was executed before the stop + expect(orc.executeToolCallGeminiManual).toHaveBeenCalledTimes(1); + }); + + // ── tool errors are included in the response parts ──────────────────────── + + it('records error output in the functionResponse for a failed tool', async () => { + orc.executeToolCallGeminiManual = jest.fn().mockResolvedValue({ + content: 'Something failed', + isError: true, + }); + + const messages = []; + await orc.processGeminiManualResponse( + geminiFunctionCalls({ name: 'bad_tool' }), + messages, EMPTY_TOOLS, EMPTY_TOOLS + ); + + const functionResp = messages[1].parts[0].functionResponse; + expect(functionResp.name).toBe('bad_tool'); + expect(functionResp.response.result).toBe('Something failed'); + }); +}); From 612adbd93d022aefba32686331da2edc6d423109 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 12 May 2026 14:03:08 -0400 Subject: [PATCH 173/226] allow specification of custom agents by the client --- agent/AgentOrchestrator.js | 4 +- agent/AgentWorker.js | 6 +- agent/README.md | 41 ++++++++- agent/WebSocket.js | 33 +++++-- agent/utilities/AgentConfigurationManager.js | 89 +++++++++++-------- agent/utilities/MessageProtocol.js | 8 +- tests/agent/AgentConfigurationManager.test.js | 18 +++- tests/agent/AgentOrchestrator.test.js | 2 +- .../agent/SessionManagerSummarization.test.js | 4 +- 9 files changed, 144 insertions(+), 61 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 31d2d4ec..a6ff8300 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -71,7 +71,7 @@ export class AgentOrchestrator { #geminiManualCacheExpiry = null; #pendingMessages = []; - constructor(sessionManager, sessionId, sendToClient, configPath, provider = config.agentDefaultProvider) { + constructor(sessionManager, sessionId, sendToClient, agentConfig, provider = config.agentDefaultProvider) { this.sessionManager = sessionManager; this.sessionId = sessionId; this.sendToClient = sendToClient; @@ -84,7 +84,7 @@ export class AgentOrchestrator { this.pendingToolCalls = new Map(); // Track tool_use_id -> tool_name mapping // Load configuration - this.configManager = new AgentConfigurationManager(configPath); + this.configManager = new AgentConfigurationManager(agentConfig); // Create tool providers this.builtInToolProvider = new BuiltInToolProvider(sessionManager, sessionId, sendToClient); diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 7ba0d30d..9f10e81c 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -126,9 +126,11 @@ class AgentWorker { } case 'select_agent': { - const configPath = join(__dirname, 'config', `${msg.agentId}.md`); + const agentConfig = msg.agentConfig !== undefined + ? { markdownContent: msg.agentConfig } + : { path: join(__dirname, 'config', `${msg.agentId}.md`) }; const provider = msg.provider ?? config.agentDefaultProvider; - this.#orchestrator = new AgentOrchestrator(this.#sessionManager, SESSION_ID, (m) => this.#toClient(m), configPath, provider); + this.#orchestrator = new AgentOrchestrator(this.#sessionManager, SESSION_ID, (m) => this.#toClient(m), agentConfig, provider); break; } diff --git a/agent/README.md b/agent/README.md index 992ab361..b2ca9bde 100644 --- a/agent/README.md +++ b/agent/README.md @@ -78,7 +78,7 @@ ws://localhost:3000/api/v1/agent 2. **Server sends** `session_created` with session ID 3. **Client sends** `initialize_session` with auth, model type, initial model, and optional custom tools 4. **Server validates** and sends `session_ready` with available agents -5. **Client sends** `select_agent` to choose an agent (e.g., `"socrates"`, `"merlin"`) +5. **Client sends** `select_agent` to choose an agent by ID (e.g., `"socrates"`, `"merlin"`) or supply a custom agent config inline 6. **Server sends** `agent_selected` confirmation 7. **Normal conversation** begins with `chat` messages @@ -184,7 +184,9 @@ The `historicalMessages` field lets clients provide conversation history from a #### 2. Select Agent -Chooses which agent personality and LLM provider to use. +Chooses which agent personality and LLM provider to use. Either `agentId` or `agentConfig` must be provided. + +**Option A — select a built-in agent by ID:** ```json { @@ -195,8 +197,23 @@ Chooses which agent personality and LLM provider to use. } ``` -- `agentId` — ID of the agent to use (e.g., `"socrates"`, `"merlin"`). Available agents are returned in `session_ready`. -- `provider` — LLM provider ID: `"anthropic"` or `"google"` (values from the `Provider` enum in `utilities/TokenUsageReporter.js`). Defaults to `agentDefaultProvider` in `config.js`. If the agent's `supportedProviders` list has exactly one entry, that provider is always used regardless of this field. +**Option B — supply a custom agent configuration inline:** + +```json +{ + "type": "select_agent", + "sessionId": "sess_abc123", + "agentConfig": "---\nname: \"My Agent\"\nagent_mode: sdk\nsupported_modes:\n - sfd\nsupported_providers:\n - anthropic\n - google\n---\n\n## Instructions\nYou are a custom agent...", + "provider": "anthropic" +} +``` + +The `agentConfig` string must be a Markdown document with valid YAML frontmatter containing at minimum `name` and `agent_mode`. Its format is identical to the agent `.md` files in `agent/config/` — see [Agent Configuration](#agent-configuration) for the full frontmatter reference. The Markdown body below the frontmatter becomes the agent's system prompt. + +**Fields:** +- `agentId` — ID of a built-in agent (e.g., `"socrates"`, `"merlin"`). Available agent IDs are returned in `session_ready`. Required if `agentConfig` is not provided. +- `agentConfig` — Full agent configuration as a Markdown string. Required if `agentId` is not provided. Server returns `AGENT_SELECTION_ERROR` if the frontmatter is missing or invalid. +- `provider` — LLM provider: `"anthropic"` or `"google"`. Defaults to `agentDefaultProvider` in `config.js`. Ignored when the agent's `supportedProviders` has exactly one entry. #### 3. Chat Message @@ -341,10 +358,18 @@ Confirms the selected agent is ready. "sessionId": "sess_abc123", "agentId": "socrates", "agentName": "Socrates", + "supportedProviders": [ + {"id": "anthropic", "name": "Claude (Anthropic)"}, + {"id": "google", "name": "Gemini (Google)"} + ], "timestamp": "2025-01-15T10:30:00.200Z" } ``` +- `agentId` — `"custom"` when a custom `agentConfig` was used; otherwise the built-in agent ID. +- `agentName` — Display name from the agent's frontmatter. +- `supportedProviders` — Providers this agent accepts, in `{id, name}` form. Same format as the `supportedProviders` array in `session_ready`. Use this to populate a provider selector after agent selection — especially important for custom agents where the supported providers are only known after the server parses the config. + #### 4. Agent Text Text response from the agent. @@ -629,6 +654,14 @@ Reports errors during processing. } ``` +**Known error codes:** + +| Code | Cause | +|---|---| +| `AGENT_SELECTION_ERROR` | `select_agent` failed — e.g. unknown `agentId`, or `agentConfig` frontmatter is missing required `name` / `agent_mode` fields. The session remains active; send another `select_agent` to recover. | +| `TOOL_TIMEOUT` | A built-in or custom tool did not receive a `tool_call_response` within its timeout. | +| `NO_AGENT` | A `chat` message arrived before `select_agent` was sent. | + Note that receiving an `error` message does not mean the agent has stopped — the agent may still continue iterating. Wait for `agent_complete` before treating the agent as idle. --- diff --git a/agent/WebSocket.js b/agent/WebSocket.js index ed51f3fa..98af6e92 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -266,11 +266,25 @@ export class WebSocketHandler { async #handleSelectAgent(message) { try { - const { agents } = getAvailableAgents(); - const selectedAgent = agents.find(agent => agent.id === message.agentId); + let selectedAgent; - if (!selectedAgent) { - throw new Error(`Agent '${message.agentId}' not found. Available agents: ${agents.map(a => a.id).join(', ')}`); + if (message.agentConfig) { + const metadata = parseFrontmatter(message.agentConfig); + if (!metadata.name || !metadata.agent_mode) { + throw new Error('agentConfig must have valid YAML frontmatter with name and agent_mode fields'); + } + selectedAgent = { + id: 'custom', + name: metadata.name, + supportedProviders: (metadata.supported_providers?.length ? metadata.supported_providers : ['anthropic', 'google']) + .map(id => ({ id, name: ProviderDisplayNames[id] ?? id })) + }; + } else { + const { agents } = getAvailableAgents(); + selectedAgent = agents.find(agent => agent.id === message.agentId); + if (!selectedAgent) { + throw new Error(`Agent '${message.agentId}' not found. Available agents: ${agents.map(a => a.id).join(', ')}`); + } } const isSwitching = this.#worker !== null; @@ -323,17 +337,20 @@ export class WebSocketHandler { const provider = supportedProviders.length === 1 ? supportedProviders[0].id : (message.provider ?? config.agentDefaultProvider); - this.#worker.send({ type: 'select_agent', agentId: message.agentId, provider }); + const workerSelectMsg = message.agentConfig + ? { type: 'select_agent', agentConfig: message.agentConfig, provider } + : { type: 'select_agent', agentId: message.agentId, provider }; + this.#worker.send(workerSelectMsg); this.#pendingAgentSwitch = isSwitching; - await this.#sendToClient(createAgentSelectedMessage(this.#sessionId, selectedAgent.id, selectedAgent.name)); + await this.#sendToClient(createAgentSelectedMessage(this.#sessionId, selectedAgent.id, selectedAgent.name, selectedAgent.supportedProviders)); const providerLabel = ProviderDisplayNames[provider] ?? provider; if (isSwitching) { await this.#sendToClient(createAgentTextMessage(this.#sessionId, `I've switched to ${selectedAgent.name} (${providerLabel}). How can I help you?`, false)); - logger.log(`Agent switched to: ${message.agentId} (${provider}) for session ${this.#sessionId}`); + logger.log(`Agent switched to: ${selectedAgent.id} (${provider}) for session ${this.#sessionId}`); } else { await this.#sendToClient(createAgentTextMessage(this.#sessionId, `${selectedAgent.name} (${providerLabel}) — What can I do for you today?`, false)); - logger.log(`Agent selected: ${message.agentId} (${provider}) for session ${this.#sessionId}`); + logger.log(`Agent selected: ${selectedAgent.id} (${provider}) for session ${this.#sessionId}`); } } catch (error) { logger.error(`Failed to select agent for session ${this.#sessionId}:`, error); diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index e26d4e1b..62fb46dd 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -117,12 +117,34 @@ When asked to visualize feedback loop dominance alongside a variable's behavior, Reserve the feedback_dominance visualization type (stacked area) for when the user explicitly wants the quantitative percentage breakdown of loop contributions over time. `; - constructor(configPath) { - this.configPath = configPath; - const { metadata, content } = this.loadConfig(configPath); + static REQUIRED_FRONTMATTER_FIELDS = ['name', 'agent_mode']; + + /** + * @param {{ path: string } | { markdownContent: string }} agentConfig + */ + constructor({ path, markdownContent } = {}) { + if (markdownContent !== undefined) { + this.configPath = null; + const { metadata, content } = this.#parseContent(markdownContent); + this.#validateFrontmatter(metadata); + this.#init(metadata, content); + } else { + this.configPath = path; + const { metadata, content } = this.#loadFile(path); + this.#init(metadata, content); + } + } + + #validateFrontmatter(metadata) { + const missing = AgentConfigurationManager.REQUIRED_FRONTMATTER_FIELDS.filter(f => !metadata[f]); + if (missing.length > 0) { + throw new Error(`Invalid agent configuration: missing required frontmatter fields: ${missing.join(', ')}`); + } + } + + #init(metadata, content) { this.metadata = metadata; this.systemPrompt = content; - // Store a basic config structure for backwards compatibility this.config = { agent: { name: metadata.name, @@ -136,47 +158,40 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us this.baseConfig = this.config.agent; } - /** - * Load configuration from MD file (READ-ONLY) - * Parses YAML frontmatter and returns metadata + content - */ - loadConfig(path) { + #parseContent(fileContent) { + const frontmatterRegex = /^---\n([\s\S]*?)\n---\n([\s\S]*)$/; + const match = fileContent.match(frontmatterRegex); + + if (match) { + const metadata = this.parseSimpleYAML(match[1]); + return { metadata, content: match[2] }; + } + + logger.error('Agent configuration has no frontmatter, using defaults'); + return { + metadata: { + name: 'Unknown', + description: '', + version: '1.0', + max_iterations: 20, + agent_mode: 'anthropic-sdk', + supported_modes: [] + }, + content: fileContent + }; + } + + #loadFile(path) { try { const fileContent = readFileSync(path, 'utf8'); - - // Parse YAML frontmatter if present - const frontmatterRegex = /^---\n([\s\S]*?)\n---\n([\s\S]*)$/; - const match = fileContent.match(frontmatterRegex); - - if (match) { - const metadataText = match[1]; - const content = match[2]; - - // Simple YAML parser for our metadata - const metadata = this.parseSimpleYAML(metadataText); - - return { metadata, content }; - } else { - // No frontmatter, use defaults - logger.error(`Loaded agent configuration from ${path} (no frontmatter)`); - return { - metadata: { - name: 'Unknown', - description: '', - version: '1.0', - max_iterations: 20, - agent_mode: 'anthropic-sdk', - supported_modes: [] - }, - content: fileContent - }; - } + return this.#parseContent(fileContent); } catch (err) { logger.error(`Failed to load config from ${path}:`, err); throw new Error(`Configuration file not found or invalid: ${path}`); } } + /** * Simple YAML parser for frontmatter metadata */ diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 84213b36..88692fcf 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -128,9 +128,12 @@ export const InitializeSessionMessageSchema = z.object({ const SelectAgentMessageSchema = z.object({ type: z.literal('select_agent').describe('Message type identifier'), sessionId: z.string().describe('Unique session identifier'), - agentId: z.string().describe('Agent ID to use (e.g., "merlin", "socrates")'), + agentId: z.string().optional().describe('Agent ID to use (e.g., "merlin", "socrates")'), + agentConfig: z.string().optional().describe('Custom agent configuration as a markdown string with YAML frontmatter (name, agent_mode, supported_modes, supported_providers) followed by agent instructions'), provider: z.enum(['anthropic', 'google']).optional().default('anthropic').describe('LLM provider to use; ignored if agent supports only one provider'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') +}).refine(msg => msg.agentId || msg.agentConfig, { + message: 'Either agentId or agentConfig must be provided' }); export const ChatMessageSchema = z.object({ @@ -219,12 +222,13 @@ export function createSessionReadyMessage(sessionId, availableAgents, defaults) }; } -export function createAgentSelectedMessage(sessionId, agentId, agentName) { +export function createAgentSelectedMessage(sessionId, agentId, agentName, supportedProviders = []) { return { type: 'agent_selected', sessionId, agentId, agentName, + supportedProviders, timestamp: new Date().toISOString() }; } diff --git a/tests/agent/AgentConfigurationManager.test.js b/tests/agent/AgentConfigurationManager.test.js index 8e562dec..51e624ef 100644 --- a/tests/agent/AgentConfigurationManager.test.js +++ b/tests/agent/AgentConfigurationManager.test.js @@ -10,11 +10,11 @@ describe('AgentConfigurationManager', () => { beforeEach(() => { const configPath = path.join(__dirname, '../../agent/config/socrates.md'); - configManager = new AgentConfigurationManager(configPath); + configManager = new AgentConfigurationManager({ path: configPath }); }); describe('constructor', () => { - it('should load config from MD file', () => { + it('should load config from MD file via path option', () => { expect(configManager.config).toBeDefined(); expect(configManager.config.agent).toBeDefined(); expect(configManager.config.agent.name).toMatch(/^Socrates/); @@ -22,9 +22,21 @@ describe('AgentConfigurationManager', () => { it('should throw error for non-existent config file', () => { expect(() => { - new AgentConfigurationManager('/non/existent/path.md'); + new AgentConfigurationManager({ path: '/non/existent/path.md' }); }).toThrow(); }); + + it('should load config from markdownContent option', () => { + const md = `---\nname: "TestAgent"\nagent_mode: sdk\nsupported_modes:\n - sfd\nsupported_providers:\n - anthropic\n---\n## Instructions\nDo things.\n`; + const mgr = new AgentConfigurationManager({ markdownContent: md }); + expect(mgr.config.agent.name).toBe('TestAgent'); + expect(mgr.configPath).toBeNull(); + }); + + it('should throw for markdownContent missing required frontmatter fields', () => { + const md = `---\nname: "NoMode"\n---\n## Instructions\nDo things.\n`; + expect(() => new AgentConfigurationManager({ markdownContent: md })).toThrow(/agent_mode/); + }); }); describe('buildSystemPrompt', () => { diff --git a/tests/agent/AgentOrchestrator.test.js b/tests/agent/AgentOrchestrator.test.js index 99eb9743..1fe2a498 100644 --- a/tests/agent/AgentOrchestrator.test.js +++ b/tests/agent/AgentOrchestrator.test.js @@ -5,7 +5,7 @@ import path from 'path'; import { fileURLToPath } from 'url'; const __dirname = path.dirname(fileURLToPath(import.meta.url)); -const CONFIG = path.join(__dirname, '../../agent/config/socrates.md'); +const CONFIG = { path: path.join(__dirname, '../../agent/config/socrates.md') }; // Minimal tool bag accepted by isBuiltInTool and execute helpers const EMPTY_TOOLS = { tools: {} }; diff --git a/tests/agent/SessionManagerSummarization.test.js b/tests/agent/SessionManagerSummarization.test.js index 2c95749c..91245886 100644 --- a/tests/agent/SessionManagerSummarization.test.js +++ b/tests/agent/SessionManagerSummarization.test.js @@ -7,8 +7,8 @@ import { fileURLToPath } from 'url'; const __filename = fileURLToPath(import.meta.url); const __dirname = path.dirname(__filename); -const AGENT_A_CONFIG = path.join(__dirname, '../../agent/config/socrates.md'); -const AGENT_B_CONFIG = path.join(__dirname, '../../agent/config/merlin.md'); +const AGENT_A_CONFIG = { path: path.join(__dirname, '../../agent/config/socrates.md') }; +const AGENT_B_CONFIG = { path: path.join(__dirname, '../../agent/config/merlin.md') }; function makeGeminiMock(summaryText = 'Mocked summary.') { return { From 262b945026e664a29275d733efdae2a66ba9c16a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 07:25:26 -0400 Subject: [PATCH 174/226] use the proper summarization model! --- config.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config.js b/config.js index 7f7ccf5a..b9b80837 100644 --- a/config.js +++ b/config.js @@ -28,7 +28,7 @@ const config = { "agentAnthropicModel": 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models "agentGeminiModel": 'gemini-3-flash-preview', // Model used for agent conversations MUST BE gemini models - "agentGeminiSummaryModel": 'gemini-3.1-flash-preview', // Model used for conversation history summarization MUST BE gemini models + "agentGeminiSummaryModel": 'gemini-3.1-flash-lite-preview', // Model used for conversation history summarization MUST BE gemini models "agentAnthropicEffort": "low", "agentAnthropicThinking": { type: "disabled" }, "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW }, From da6460af3cecc9b9c3fee2ee61d892e40e72d3e5 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 07:25:36 -0400 Subject: [PATCH 175/226] adjust logging --- agent/AgentOrchestrator.js | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index a6ff8300..450bda93 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -414,6 +414,8 @@ export class AgentOrchestrator { message.error?.message || 'SDK system error', 'SDK_SYSTEM_ERROR' )); + } else if (message.subtype === 'api_retry') { + logger.log(`Anthropic SDK: API retry attempt ${message.attempt}/${message.max_retries} for session ${this.sessionId} (status: ${message.error_status}, delay: ${Math.round(message.retry_delay_ms / 1000)}s)`); } else { logger.warn(`Anthropic SDK Unhandled system message subtype: ${message.subtype}`, message); } @@ -470,7 +472,7 @@ export class AgentOrchestrator { const displayName = this.stripMcpPrefix(toolName); if (block.is_error) { - logger.error(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); + logger.log(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); } else { logger.log(`Anthropic SDK: Tool call completed: ${displayName}`); } @@ -545,9 +547,9 @@ export class AgentOrchestrator { logger.log(`Anthropic SDK conversation reached max iterations for session ${this.sessionId}`); this.maxTurnsReached = true; } else if (message.subtype === 'error') { - logger.error(`Anthropic SDK conversation error for session ${this.sessionId}:`, message.error || message); + logger.warn(`Anthropic SDK conversation error for session ${this.sessionId}:`, message.error || message); } else if (message.subtype === 'tool_error') { - logger.error(`Anthropic SDK tool error for session ${this.sessionId}:`, message); + logger.log(`Anthropic SDK tool error for session ${this.sessionId}:`, message); } else { logger.warn(`Anthropic SDK Unhandled result message subtype: ${message.subtype}`, message); } From d780cedff2ea106d4ff5a5a99592d60e12cd4819 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 10:39:09 -0400 Subject: [PATCH 176/226] clean up error log --- agent/AgentOrchestrator.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 450bda93..6dd3e529 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -515,7 +515,7 @@ export class AgentOrchestrator { const displayName = this.stripMcpPrefix(toolName); if (block.is_error) { - logger.error(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); + logger.log(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); } else { logger.log(`Anthropic SDK: Tool call completed: ${displayName}`); } @@ -867,7 +867,7 @@ export class AgentOrchestrator { } if (toolResult.isError) { - logger.error(`Anthropic Manual: Tool error for ${block.name}:`, toolResult.content); + logger.log(`Anthropic Manual: Tool error for ${block.name}:`, toolResult.content); } else { logger.log(`Anthropic Manual: Tool call completed: ${block.name}`); } @@ -1241,7 +1241,7 @@ export class AgentOrchestrator { if (this.stopRequested) return false; if (toolResult.isError) { - logger.error(`Gemini Manual: Tool error for ${name}:`, toolResult.content); + logger.log(`Gemini Manual: Tool error for ${name}:`, toolResult.content); } else { logger.log(`Gemini Manual: Tool call completed: ${name}`); } From 668fd2a19fd0ea5147c41d34269f97a0775fd7af Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 10:39:31 -0400 Subject: [PATCH 177/226] visualization engine is much better about units! --- agent/tools/builtin/createVisualization.js | 5 +- agent/utilities/VisualizationEngine.js | 71 +++++++++++++++++----- 2 files changed, 60 insertions(+), 16 deletions(-) diff --git a/agent/tools/builtin/createVisualization.js b/agent/tools/builtin/createVisualization.js index b4387c73..8a8e4c3f 100644 --- a/agent/tools/builtin/createVisualization.js +++ b/agent/tools/builtin/createVisualization.js @@ -52,7 +52,8 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu dataDescription: z.string().optional().describe('Description of the data for AI (when useAICustom=true)'), visualizationGoal: z.string().optional().describe('What insight to convey (when useAICustom=true)'), options: z.object({ - timeUnits: z.string().optional().describe('Label for the time axis (e.g. "Years", "Months")'), + timeUnits: z.string().describe('Units for the time axis (e.g. "Years", "Months")'), + seriesUnits: z.record(z.string(), z.string()).describe('Units per variable name (e.g. { "Population": "People", "GDP": "Dollars" }). Use an empty object {} for feedback_dominance charts.'), timeRange: z.object({ start: z.number(), end: z.number() }).optional().describe('Restrict the plot to a time window'), highlightPeriods: z.array(z.object({ start: z.number(), @@ -64,7 +65,7 @@ Use useAICustom=true to have AI generate custom matplotlib code for complex visu height: z.number().optional().describe('Output height in pixels (default 600)'), includeFeedbackContext: z.boolean().optional().describe('When true, reads feedback.json and overlays dominant-loop periods as highlight bands on the chart. Useful for time_series plots where you want to show which feedback loop was driving behavior.'), customRequirements: z.string().optional().describe('Additional freeform requirements passed to the AI when useAICustom=true') - }).optional() + }) }), handler: async ({ type, filePath, variables, title, description, usePython, useAICustom, difficulty, dataDescription, visualizationGoal, options }) => { try { diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index ea5c964c..d4e3c337 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -434,6 +434,36 @@ Generate ONLY working Python code, no explanations.`; } } + // Returns a Python snippet that filters a flat {time, var1, ...} data dict to options.timeRange. + #timeRangeFilterFlat(options) { + if (!options?.timeRange) return ''; + const { start, end } = options.timeRange; + return ` +# Apply time range filter +_time_arr = data['time'] +_indices = [i for i, t in enumerate(_time_arr) if t >= ${start} and t <= ${end}] +for _key in list(data.keys()): + if isinstance(data[_key], list) and len(data[_key]) == len(_time_arr): + data[_key] = [data[_key][i] for i in _indices] +`; + } + + // Returns a Python snippet that filters a run-keyed {runId: {time, var1,...}} data dict to options.timeRange. + #timeRangeFilterRunKeyed(options) { + if (!options?.timeRange) return ''; + const { start, end } = options.timeRange; + return ` +# Apply time range filter per run +for _run_id in list(data.keys()): + _run = data[_run_id] + _time_arr = _run.get('time', []) + _indices = [i for i, t in enumerate(_time_arr) if t >= ${start} and t <= ${end}] + for _key in list(_run.keys()): + if isinstance(_run[_key], list) and len(_run[_key]) == len(_time_arr): + _run[_key] = [_run[_key][i] for i in _indices] +`; + } + /** * Generate Python script for visualization */ @@ -478,6 +508,11 @@ line_handles = [l for l in ax.lines if not l.get_label().startswith('_')] ax.legend(handles=band_handles + line_handles, loc='best')` : `ax.legend(loc='best')`; + const su = options.seriesUnits || {}; + const unitValues = variables.map(v => su[v]).filter(Boolean); + const sharedUnit = unitValues.length === variables.length && new Set(unitValues).size === 1 ? unitValues[0] : null; + const yAxisLabel = sharedUnit ? `Value (${sharedUnit})` : 'Value'; + return ` import matplotlib matplotlib.use('Agg') @@ -489,20 +524,22 @@ warnings.filterwarnings('ignore') # Load data with open('${dataPath}', 'r') as f: data = json.load(f) - +${this.#timeRangeFilterFlat(options)} fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) # Background highlight periods (drawn first so lines render on top) ${highlightPeriodsCode} # Plot each variable -${variables.map((v, idx) => ` -ax.plot(data['time'], data['${v}'], label='${v.replaceAll('_', ' ')}', linewidth=2, zorder=3) -`).join('')} +${variables.map(v => { + const units = su[v]; + const label = units ? `${v.replaceAll('_', ' ')} (${units})` : v.replaceAll('_', ' '); + return `\nax.plot(data['time'], data['${v}'], label='${label}', linewidth=2, zorder=3)`; + }).join('')} # Styling ax.set_xlabel('Time (${options.timeUnits || 'units'})', fontsize=12) -ax.set_ylabel('Value', fontsize=12) +ax.set_ylabel('${yAxisLabel}', fontsize=12) ax.set_title('${options.title || 'Time Series'}', fontsize=14, fontweight='bold') ${legendCode} ax.grid(True, alpha=0.3) @@ -519,6 +556,10 @@ print('Visualization saved') */ generatePhasePortraitScript(dataPath, outputPath, variables, options) { const [xVar, yVar] = variables; + const su = options.seriesUnits || {}; + const xLabel = su[xVar] ? `${xVar.replaceAll('_', ' ')} (${su[xVar]})` : xVar.replaceAll('_', ' '); + const yLabel = su[yVar] ? `${yVar.replaceAll('_', ' ')} (${su[yVar]})` : yVar.replaceAll('_', ' '); + const timeLabel = options.timeUnits ? `Time (${options.timeUnits})` : 'Time'; return ` import matplotlib matplotlib.use('Agg') @@ -530,7 +571,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) - +${this.#timeRangeFilterFlat(options)} fig, ax = plt.subplots(figsize=(8, 6)) time = np.array(data['time']) @@ -543,14 +584,14 @@ ax.plot(x, y, 'k-', alpha=0.3, linewidth=0.5) ax.scatter(x[0], y[0], c='green', s=100, marker='o', label='Start', zorder=5) ax.scatter(x[-1], y[-1], c='red', s=100, marker='s', label='End', zorder=5) -ax.set_xlabel('${xVar}', fontsize=12) -ax.set_ylabel('${yVar}', fontsize=12) -ax.set_title('Phase Portrait: ${yVar} vs ${xVar}', fontsize=14, fontweight='bold') +ax.set_xlabel('${xLabel}', fontsize=12) +ax.set_ylabel('${yLabel}', fontsize=12) +ax.set_title('Phase Portrait: ${yVar.replaceAll('_', ' ')} vs ${xVar.replaceAll('_', ' ')}', fontsize=14, fontweight='bold') ax.legend() ax.grid(True, alpha=0.3) cbar = plt.colorbar(scatter, ax=ax) -cbar.set_label('Time', fontsize=10) +cbar.set_label('${timeLabel}', fontsize=10) plt.tight_layout() plt.savefig('${outputPath}', format='svg', bbox_inches='tight') @@ -575,6 +616,7 @@ print('Visualization saved') import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt +import matplotlib.ticker import numpy as np import json import warnings @@ -582,7 +624,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) - +${this.#timeRangeFilterFlat(options)} fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) # Get time array @@ -631,8 +673,9 @@ if len(loop_data) > 0 and len(time) > 0: colors = plt.cm.tab10(np.linspace(0, 1, len(loop_data))) ax.stackplot(time, *loop_data, labels=loop_labels, colors=colors, alpha=0.7) + ax.yaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(lambda y, _: f'{y:.0f}%')) ax.set_xlabel('Time (${options.timeUnits || 'units'})', fontsize=12) - ax.set_ylabel('Loop Dominance', fontsize=12) + ax.set_ylabel('Percent of Behavior Explained', fontsize=12) ax.set_title('${options.title || 'Feedback Loop Dominance Over Time'}', fontsize=14, fontweight='bold') ax.legend(loc='upper left', bbox_to_anchor=(1.02, 1), borderaxespad=0) ax.grid(True, alpha=0.3) @@ -664,7 +707,7 @@ warnings.filterwarnings('ignore') with open('${dataPath}', 'r') as f: data = json.load(f) - +${this.#timeRangeFilterRunKeyed(options)} fig, ax = plt.subplots(figsize=(${(options.width || 800)/100}, ${(options.height || 600)/100})) colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] @@ -681,7 +724,7 @@ for idx, (label, time_data, values) in enumerate(run_items): ax.plot(time_data, values, label=label, color=color, linestyle=line_style, linewidth=2) ax.set_xlabel('Time', fontsize=12) -ax.set_ylabel('${variable}', fontsize=12) +ax.set_ylabel('${options.seriesUnits?.[variable] ? `${variable} (${options.seriesUnits[variable]})` : variable}', fontsize=12) ax.set_title('${options.title || `Comparison: ${variable}`}', fontsize=14, fontweight='bold') ax.legend(loc='best') ax.grid(True, alpha=0.3) From 6fdc92b868b9f21c9680d99d7d1fa0723eb9a225 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 12:32:41 -0400 Subject: [PATCH 178/226] the server sends the current provider when the agent is chosen --- agent/README.md | 2 ++ agent/WebSocket.js | 2 +- agent/utilities/MessageProtocol.js | 3 ++- 3 files changed, 5 insertions(+), 2 deletions(-) diff --git a/agent/README.md b/agent/README.md index b2ca9bde..3bbd5798 100644 --- a/agent/README.md +++ b/agent/README.md @@ -362,6 +362,7 @@ Confirms the selected agent is ready. {"id": "anthropic", "name": "Claude (Anthropic)"}, {"id": "google", "name": "Gemini (Google)"} ], + "currentProvider": "anthropic", "timestamp": "2025-01-15T10:30:00.200Z" } ``` @@ -369,6 +370,7 @@ Confirms the selected agent is ready. - `agentId` — `"custom"` when a custom `agentConfig` was used; otherwise the built-in agent ID. - `agentName` — Display name from the agent's frontmatter. - `supportedProviders` — Providers this agent accepts, in `{id, name}` form. Same format as the `supportedProviders` array in `session_ready`. Use this to populate a provider selector after agent selection — especially important for custom agents where the supported providers are only known after the server parses the config. +- `currentProvider` — The provider ID that was actually selected for this session (e.g. `"anthropic"` or `"google"`). Resolved from the `provider` field of the `select_agent` message, falling back to `agentDefaultProvider` in config, or forced to the single entry when `supportedProviders` has exactly one item. #### 4. Agent Text diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 98af6e92..577c77d4 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -343,7 +343,7 @@ export class WebSocketHandler { this.#worker.send(workerSelectMsg); this.#pendingAgentSwitch = isSwitching; - await this.#sendToClient(createAgentSelectedMessage(this.#sessionId, selectedAgent.id, selectedAgent.name, selectedAgent.supportedProviders)); + await this.#sendToClient(createAgentSelectedMessage(this.#sessionId, selectedAgent.id, selectedAgent.name, selectedAgent.supportedProviders, provider)); const providerLabel = ProviderDisplayNames[provider] ?? provider; if (isSwitching) { await this.#sendToClient(createAgentTextMessage(this.#sessionId, `I've switched to ${selectedAgent.name} (${providerLabel}). How can I help you?`, false)); diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 88692fcf..4f866cc3 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -222,13 +222,14 @@ export function createSessionReadyMessage(sessionId, availableAgents, defaults) }; } -export function createAgentSelectedMessage(sessionId, agentId, agentName, supportedProviders = []) { +export function createAgentSelectedMessage(sessionId, agentId, agentName, supportedProviders, currentProvider) { return { type: 'agent_selected', sessionId, agentId, agentName, supportedProviders, + currentProvider, timestamp: new Date().toISOString() }; } From 2ba0ac98cb00b2c387deb653ec0074125c32c3fe Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 14:27:24 -0400 Subject: [PATCH 179/226] log client id with token usage --- utilities/TokenUsageReporter.js | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index ce56c656..d54b5733 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -68,9 +68,11 @@ class TokenUsageReporter { const costs = this.#calculateCost(provider, model, tokens); const fmt = (n, cost) => cost != null ? `${n}($${cost.toFixed(6)})` : `${n}`; + const clientTag = this.clientId ? ` client=${this.clientId}` : ''; if (isAnthropic) { logger.log( `[usage:${provider}]` + + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + ` cache_write_5m=${fmt(tokens.cacheCreation5mInputTokens, costs?.cacheCreation5mInputTokens)}` + @@ -81,6 +83,7 @@ class TokenUsageReporter { } else if (isOpenAI) { logger.log( `[usage:${provider}]` + + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + ` cached=${fmt(tokens.cachedTokens, costs?.cachedTokens)}` + @@ -90,6 +93,7 @@ class TokenUsageReporter { } else { logger.log( `[usage:${provider}]` + + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + ` cached=${fmt(tokens.cachedTokens, costs?.cachedTokens)}` + From d02c2a93dd447edc0bcdba16976dbca270822116 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 14:27:35 -0400 Subject: [PATCH 180/226] don't log causal chains supportedModes issues --- engines/causal-chains/engine.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/engines/causal-chains/engine.js b/engines/causal-chains/engine.js index 33cbb719..77c65704 100644 --- a/engines/causal-chains/engine.js +++ b/engines/causal-chains/engine.js @@ -37,8 +37,8 @@ focus on chains of relationships, rather then individual links.` return ["cld"]; } } catch (err) { - logger.log("Error checking supporting modes on causal-chains..."); - logger.log(err); + //logger.log("Error checking supporting modes on causal-chains..."); + //logger.log(err); // fine to fallthrough to the return below } From efa7374b03bc8d9b36bbfdc717bf1e79421a5497 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 14:42:32 -0400 Subject: [PATCH 181/226] getting things to work on windows --- agent/WebSocket.js | 5 +++-- agent/WorkerSpawner.js | 6 +++++- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 577c77d4..f9325de4 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -19,8 +19,9 @@ import { ProviderDisplayNames } from '../utilities/TokenUsageReporter.js'; const __dirname = dirname(fileURLToPath(import.meta.url)); function parseFrontmatter(content) { + const normalized = content.replace(/\r\n/g, '\n'); const frontmatterRegex = /^---\n([\s\S]*?)\n---/; - const match = content.match(frontmatterRegex); + const match = normalized.match(frontmatterRegex); if (!match) return {}; const metadata = {}; @@ -107,7 +108,7 @@ const liveWorkers = new Set(); // subprocess launched by the Agent SDK — without this they become orphans at // 100% CPU after the worker is gone. function killWorkerProcess(w, signal) { - if (typeof w.pid === 'number') { + if (typeof w.pid === 'number' && process.platform !== 'win32') { process.kill(-w.pid, signal); } else { w.kill(signal); diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 4577dbe0..3f274abd 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -377,7 +377,11 @@ export class WorkerSpawner { return fork(WorkerSpawner.#WORKER_PATH, [], { env: { ...process.env, SESSION_ID: sessionId, SESSION_TEMP_DIR: sessionTempDir }, stdio: ['inherit', 'inherit', 'inherit', 'ipc'], - detached: true, + // detached only on Unix: puts the worker in its own process group so + // process.kill(-pid) can kill grandchildren (e.g. the claude CLI). + // On Windows, detached + inherited stdio breaks the IPC channel (EBADF), + // and negative-PID group killing isn't supported anyway. + detached: process.platform !== 'win32', }); } } From 707b52d261fc6e3a6e80d3d179a0cc0759326fe5 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 14:48:46 -0400 Subject: [PATCH 182/226] more gemini sanitization of JSON schemas --- agent/tools/builtin/toolHelpers.js | 1 + 1 file changed, 1 insertion(+) diff --git a/agent/tools/builtin/toolHelpers.js b/agent/tools/builtin/toolHelpers.js index 43d89796..434d2acb 100644 --- a/agent/tools/builtin/toolHelpers.js +++ b/agent/tools/builtin/toolHelpers.js @@ -24,6 +24,7 @@ export function tool({ name, description, inputSchema, execute }) { const GEMINI_UNSUPPORTED_KEYS = new Set([ '$schema', 'additionalProperties', + 'propertyNames', 'exclusiveMinimum', // handled below for numeric form; boolean form is dropped 'exclusiveMaximum', ]); From 999f07b538388b7db1525a88156f491ced4a6221 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 15:07:15 -0400 Subject: [PATCH 183/226] added pricing for gemini-3.1-flash-preview --- utilities/pricing.js | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/utilities/pricing.js b/utilities/pricing.js index 31e2253e..52225ecb 100644 --- a/utilities/pricing.js +++ b/utilities/pricing.js @@ -76,6 +76,11 @@ export const gemini = { cachedTokens: 0.05, outputTokens: 3.00, }, + 'gemini-3.1-flash-lite-preview' : { + inputTokens: 0.25, + cachedTokens: 0.025, + outputTokens: 1.50, + }, default: { inputTokens: 4.00, cachedTokens: 0.40, From d94e81f30574f278508afd322ec053ae411f45fc Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 15:07:35 -0400 Subject: [PATCH 184/226] more fixes for windows formatting --- agent/WebSocket.js | 41 ++------------------ agent/tools/builtin/fileTools.js | 2 +- agent/utilities/AgentConfigurationManager.js | 17 ++++---- agent/utilities/VisualizationEngine.js | 4 +- evals/run.js | 2 +- 5 files changed, 14 insertions(+), 52 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index f9325de4..eaa6ab79 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -1,4 +1,5 @@ import { WorkerSpawner } from './WorkerSpawner.js'; +import { AgentConfigurationManager } from './utilities/AgentConfigurationManager.js'; import { validateClientMessage, createSessionCreatedMessage, @@ -18,42 +19,6 @@ import { ProviderDisplayNames } from '../utilities/TokenUsageReporter.js'; const __dirname = dirname(fileURLToPath(import.meta.url)); -function parseFrontmatter(content) { - const normalized = content.replace(/\r\n/g, '\n'); - const frontmatterRegex = /^---\n([\s\S]*?)\n---/; - const match = normalized.match(frontmatterRegex); - if (!match) return {}; - - const metadata = {}; - const lines = match[1].split('\n'); - let currentArray = null; - - for (const line of lines) { - const trimmed = line.trim(); - if (!trimmed) continue; - - if (trimmed.startsWith('- ') && currentArray) { - currentArray.push(trimmed.substring(2).trim()); - } else if (trimmed.includes(':')) { - const colonIndex = trimmed.indexOf(':'); - const key = trimmed.substring(0, colonIndex).trim(); - const value = trimmed.substring(colonIndex + 1).trim(); - - if (value === '') { - currentArray = []; - metadata[key] = currentArray; - } else { - let parsedValue = value.replace(/^["']|["']$/g, ''); - if (!isNaN(parsedValue) && parsedValue !== '') parsedValue = Number(parsedValue); - metadata[key] = parsedValue; - currentArray = null; - } - } - } - - return metadata; -} - function getAvailableAgents() { const configDir = join(__dirname, 'config'); const agents = []; @@ -64,7 +29,7 @@ function getAvailableAgents() { for (const file of files) { try { const content = readFileSync(join(configDir, file), 'utf8'); - const metadata = parseFrontmatter(content); + const metadata = AgentConfigurationManager.parseContent(content).metadata; if (metadata?.name) { agents.push({ @@ -270,7 +235,7 @@ export class WebSocketHandler { let selectedAgent; if (message.agentConfig) { - const metadata = parseFrontmatter(message.agentConfig); + const metadata = AgentConfigurationManager.parseContent(message.agentConfig).metadata; if (!metadata.name || !metadata.agent_mode) { throw new Error('agentConfig must have valid YAML frontmatter with name and agent_mode fields'); } diff --git a/agent/tools/builtin/fileTools.js b/agent/tools/builtin/fileTools.js index 488589f9..e43b2722 100644 --- a/agent/tools/builtin/fileTools.js +++ b/agent/tools/builtin/fileTools.js @@ -31,7 +31,7 @@ Filtering options to avoid reading more than needed: } const raw = readFileSync(filePath, 'utf-8'); - let lines = raw.split('\n'); + let lines = raw.split(/\r?\n/); const totalLines = lines.length; if (startLine !== undefined || endLine !== undefined) { diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 62fb46dd..ccda11bf 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -125,7 +125,7 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us constructor({ path, markdownContent } = {}) { if (markdownContent !== undefined) { this.configPath = null; - const { metadata, content } = this.#parseContent(markdownContent); + const { metadata, content } = AgentConfigurationManager.parseContent(markdownContent); this.#validateFrontmatter(metadata); this.#init(metadata, content); } else { @@ -158,12 +158,12 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us this.baseConfig = this.config.agent; } - #parseContent(fileContent) { - const frontmatterRegex = /^---\n([\s\S]*?)\n---\n([\s\S]*)$/; - const match = fileContent.match(frontmatterRegex); + static parseContent(fileContent) { + const normalized = fileContent.replace(/\r\n/g, '\n'); + const match = normalized.match(/^---\n([\s\S]*?)\n---\n([\s\S]*)$/); if (match) { - const metadata = this.parseSimpleYAML(match[1]); + const metadata = AgentConfigurationManager.#parseSimpleYAML(match[1]); return { metadata, content: match[2] }; } @@ -184,7 +184,7 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us #loadFile(path) { try { const fileContent = readFileSync(path, 'utf8'); - return this.#parseContent(fileContent); + return AgentConfigurationManager.parseContent(fileContent); } catch (err) { logger.error(`Failed to load config from ${path}:`, err); throw new Error(`Configuration file not found or invalid: ${path}`); @@ -192,10 +192,7 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us } - /** - * Simple YAML parser for frontmatter metadata - */ - parseSimpleYAML(yamlText) { + static #parseSimpleYAML(yamlText) { const metadata = {}; const lines = yamlText.split('\n'); let currentKey = null; diff --git a/agent/utilities/VisualizationEngine.js b/agent/utilities/VisualizationEngine.js index d4e3c337..28dca2f5 100644 --- a/agent/utilities/VisualizationEngine.js +++ b/agent/utilities/VisualizationEngine.js @@ -265,9 +265,9 @@ Generate ONLY working Python code, no explanations.`; // Remove markdown code blocks if present if (pythonCode.startsWith('```python')) { - pythonCode = pythonCode.replace(/```python\n/, '').replace(/\n```$/, ''); + pythonCode = pythonCode.replace(/```python\r?\n/, '').replace(/\r?\n```$/, ''); } else if (pythonCode.startsWith('```')) { - pythonCode = pythonCode.replace(/```\n/, '').replace(/\n```$/, ''); + pythonCode = pythonCode.replace(/```\r?\n/, '').replace(/\r?\n```$/, ''); } return pythonCode; diff --git a/evals/run.js b/evals/run.js index 6f8b3d40..3d7a3a57 100644 --- a/evals/run.js +++ b/evals/run.js @@ -83,7 +83,7 @@ if (matchingFiles.length > 0) { if (isContinuing) { const previousFileName = matchingFiles[0]; - previousResults = fs.readFileSync(previousFileName, 'utf-8').split('\n').filter(Boolean).map(l => JSON.parse(l)) + previousResults = fs.readFileSync(previousFileName, 'utf-8').split(/\r?\n/).filter(Boolean).map(l => JSON.parse(l)) experimentResultsName = previousFileName.replace(inProgressFileSuffix,"") } else { const experimentId = uniqueFileId(); From 54af048c88838b887917196fa32dbec79e55a65b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 13 May 2026 19:27:29 -0400 Subject: [PATCH 185/226] longer timeout --- tests/agent/AgentWorker.test.js | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/tests/agent/AgentWorker.test.js b/tests/agent/AgentWorker.test.js index 810439c1..c8e65c36 100644 --- a/tests/agent/AgentWorker.test.js +++ b/tests/agent/AgentWorker.test.js @@ -103,11 +103,12 @@ describe('AgentWorker IPC — get_context', () => { const resp = await waitForMessage( worker, - (m) => m.type === 'context_response' && m.requestId === requestId + (m) => m.type === 'context_response' && m.requestId === requestId, + 30000 ); expect(resp.context).toEqual([]); - }, 10000); + }, 30000); it('get_context returns conversation history loaded during initialize', async () => { const history = [ @@ -122,11 +123,12 @@ describe('AgentWorker IPC — get_context', () => { const resp = await waitForMessage( worker, - (m) => m.type === 'context_response' && m.requestId === requestId + (m) => m.type === 'context_response' && m.requestId === requestId, + 30000 ); expect(resp.context).toEqual(history); - }, 10000); + }, 30000); it('multiple get_context calls return the same history', async () => { const history = [{ role: 'user', content: 'Hello' }]; From cccb9a25d58be87116f92febec06d3b85eb2650c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 09:37:40 -0400 Subject: [PATCH 186/226] simplify/cleanup agent orchestrator code --- agent/AgentOrchestrator.js | 441 ++++++++++++-------------- tests/agent/AgentOrchestrator.test.js | 10 +- 2 files changed, 218 insertions(+), 233 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 6dd3e529..bd944e6f 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -178,7 +178,159 @@ export class AgentOrchestrator { const dynamicTools = this.dynamicToolProvider.getTools(); // Start agent conversation loop - await this.runAgentConversationAnthropicManual(userMessage, systemPrompt, builtInTools, dynamicTools); + // Clean up context (remove stale models, summarize if over limit) before first API call + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + + // Use the live session context as the messages array — no local copy + const messages = this.sessionManager.getConversationContext(this.sessionId); + + // Normalize in-place: Gemini-format messages ({role:'user'|'model', parts}) from + // historical session load or a prior Gemini-mode agent switch must become + // Anthropic-format ({role:'user'|'assistant', content}) before the API call. + for (let i = 0; i < messages.length; i++) { + messages[i] = toAnthropicMessage(messages[i]); + } + // Drop any messages that converted to empty content (e.g. Gemini tool call/response + // parts that have no text), which Anthropic rejects. + for (let i = messages.length - 1; i >= 0; i--) { + const content = messages[i].content; + if (!content || (typeof content === 'string' && content.trim() === '') || (Array.isArray(content) && content.length === 0)) { + messages.splice(i, 1); + } + } + + // Check model token count and update session state + const currentModel = session?.clientModel; + let modelTokenCount = 0; + + if (currentModel) { + const modelJson = JSON.stringify(currentModel, null, 2); + modelTokenCount = countTokens(modelJson); + this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); + } + + const systemBlocks = [ + { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral', ttl: '5m' } } + ]; + + // Convert tool servers to Anthropic tool format (with conditional filtering) + const tools = this.#convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount, mode); + + const maxIterations = this.configManager.getMaxIterations(); + + while (true) { + let continueLoop = true; + let iteration = 0; + let overloadedRetries = 0; + + while (continueLoop && iteration < maxIterations && !this.stopRequested) { + iteration++; + + // Summarize context in-place if it has grown over the token limit + await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); + + try { + // Call Claude API + const thinkingEnabled = config.agentAnthropicThinking?.type !== 'disabled'; + const response = await this.anthropic.messages.create({ + model: config.agentAnthropicModel, + max_tokens: 8192, + system: systemBlocks, + messages: messages, + thinking: config.agentAnthropicThinking, + ...(thinkingEnabled && { effort: config.agentAnthropicEffort }), + tools: tools.length > 0 ? tools : undefined + }); + + this.#logApiUsage(Provider.ANTHROPIC, response.usage); + + // Check if stop was requested during the API call + if (this.stopRequested) { + break; + } + + // Process response + continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); + + // Check if stop was requested during response processing + if (this.stopRequested) { + break; + } + + } catch (error) { + const isOverloaded = error?.status === 529 || error?.error?.type === 'overloaded_error'; + const isNetworkError = error?.cause?.code === 'UND_ERR_SOCKET' || error?.code === 'UND_ERR_SOCKET' || + error?.code === 'ECONNRESET' || error?.cause?.code === 'ECONNRESET' || + (error instanceof TypeError && error.message === 'terminated'); + if ((isOverloaded || isNetworkError) && overloadedRetries < 3) { + overloadedRetries++; + const reason = isOverloaded ? 'overloaded (529)' : 'network error'; + logger.warn(`Anthropic Manual: Anthropic API ${reason}, retry ${overloadedRetries}/3`); + await this.sendToClient(createAgentTextMessage( + this.sessionId, + isOverloaded ? 'The AI service is temporarily overloaded. Retrying...' : 'Network connection interrupted. Retrying...' + )); + await new Promise(resolve => setTimeout(resolve, 5000)); + } else if (isOverloaded) { + logger.error('Anthropic Manual: Anthropic API overloaded (529) after 3 retries, giving up'); + await this.sendToClient(createErrorMessage( + this.sessionId, + 'The AI service is overloaded. Please try again later.', + 'AGENT_ERROR' + )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped due to overloaded API' + )); + continueLoop = false; + } else { + logger.error('Anthropic Manual: Error in agent conversation loop:', error); + await this.sendToClient(createErrorMessage( + this.sessionId, + `Agent error: ${error.message}`, + 'AGENT_ERROR' + )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped due to error' + )); + continueLoop = false; + } + } + } + + if (this.stopRequested) { + logger.log(`Anthropic Manual: Agent iteration stopped by user request for session ${this.sessionId}`); + this.stopRequested = false; + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + 'Agent stopped by user request' + )); + break; + } + const reachedMax = iteration >= maxIterations; + if (this.#pendingMessages.length === 0) { + if (reachedMax) { + logger.warn(`Anthropic Manual: Agent conversation reached max iterations (${maxIterations})`); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + `Reached maximum iterations (${maxIterations})` + )); + } + break; + } + + if (reachedMax) { + logger.warn(`Anthropic Manual: max iterations (${maxIterations}) hit; draining queued message with fresh budget`); + } + const next = this.#pendingMessages.shift(); + logger.log(`Anthropic Manual: processing queued message (remaining: ${this.#pendingMessages.length})`); + this.sessionManager.addToConversationHistory(this.sessionId, { role: 'user', content: next }); + } } /** @@ -206,19 +358,10 @@ export class AgentOrchestrator { this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); } - await this.runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext); - } - - /** - * Run agent conversation using Claude Agent SDK - */ - async runAgentConversationWithAnthropicSDK(userMessage, systemPrompt, modelTokenCount, previousAgentContext = null) { // Create abort controller for stop iteration this.abortController = new AbortController(); this.maxTurnsReached = false; - const mode = this.sessionManager.getSession(this.sessionId)?.mode; - const maxIterations = this.configManager.getMaxIterations(); try { @@ -256,7 +399,7 @@ export class AgentOrchestrator { ]; // Prefix tool names in system prompt - systemPrompt = this.anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); + systemPrompt = this.#anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); // Build query options with MCP servers const queryOptions = { @@ -287,7 +430,7 @@ export class AgentOrchestrator { const contextToReplay = previousAgentContext.slice(0, -1).map(toAnthropicMessage); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent.`); - const contextText = await this.buildPriorContextTextAnthropic(contextToReplay); + const contextText = await this.#buildPriorContextTextAnthropic(contextToReplay); prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; } } @@ -300,7 +443,7 @@ export class AgentOrchestrator { // Process messages from SDK for await (const message of queryIterator) { - await this.handleAnthropicSdkMessage(message); + await this.#handleAnthropicSdkMessage(message); } // Process any messages queued while the SDK was running. Each queued message @@ -311,7 +454,7 @@ export class AgentOrchestrator { this.maxTurnsReached = false; const followUpIterator = query({ prompt: next, options: { ...queryOptions, resume: this.sdkSessionId } }); for await (const message of followUpIterator) { - await this.handleAnthropicSdkMessage(message); + await this.#handleAnthropicSdkMessage(message); } } @@ -378,7 +521,7 @@ export class AgentOrchestrator { /** * Remove MCP prefix from tool names for client display */ - stripMcpPrefix(toolName) { + #stripMcpPrefix(toolName) { if (toolName.startsWith('mcp__builtin__')) { return toolName.substring('mcp__builtin__'.length); } @@ -391,14 +534,14 @@ export class AgentOrchestrator { /** * Handle messages from Agent SDK */ - async handleAnthropicSdkMessage(message) { + async #handleAnthropicSdkMessage(message) { switch (message.type) { case 'assistant': - await this.handleAnthropicSDKAssistantMessage(message); + await this.#handleAnthropicSDKAssistantMessage(message); break; case 'result': - await this.handleAnthropicSDKResultMessage(message); + await this.#handleAnthropicSDKResultMessage(message); break; case 'system': @@ -422,7 +565,7 @@ export class AgentOrchestrator { break; case 'user': - await this.handleAnthropicSDKUserMessage(message); + await this.#handleAnthropicSDKUserMessage(message); break; default: @@ -433,7 +576,7 @@ export class AgentOrchestrator { /** * Handle assistant messages (text from Claude) */ - async handleAnthropicSDKAssistantMessage(message) { + async #handleAnthropicSDKAssistantMessage(message) { this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage); const content = message.message?.content; const rawTextParts = []; @@ -457,7 +600,7 @@ export class AgentOrchestrator { const isBuiltInMcpTool = block.name.startsWith('mcp__builtin__'); const isBuiltIn = isFilesystemTool || isBuiltInMcpTool; - const displayName = this.stripMcpPrefix(block.name); + const displayName = this.#stripMcpPrefix(block.name); await this.sendToClient(createToolCallNotificationMessage( this.sessionId, @@ -469,7 +612,7 @@ export class AgentOrchestrator { } else if (block.type === 'tool_result' && block.tool_use_id) { const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; - const displayName = this.stripMcpPrefix(toolName); + const displayName = this.#stripMcpPrefix(toolName); if (block.is_error) { logger.log(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); @@ -505,14 +648,14 @@ export class AgentOrchestrator { /** * Handle user messages (tool results being sent back to Claude) */ - async handleAnthropicSDKUserMessage(message) { + async #handleAnthropicSDKUserMessage(message) { const content = message.message?.content; if (content && Array.isArray(content)) { for (const block of content) { if (block.type === 'tool_result' && block.tool_use_id) { const toolName = this.pendingToolCalls.get(block.tool_use_id) || 'unknown'; - const displayName = this.stripMcpPrefix(toolName); + const displayName = this.#stripMcpPrefix(toolName); if (block.is_error) { logger.log(`Anthropic SDK: Tool error for ${toolName} (${block.tool_use_id}):`, block.content); @@ -540,7 +683,7 @@ export class AgentOrchestrator { /** * Handle result messages (conversation completion) */ - async handleAnthropicSDKResultMessage(message) { + async #handleAnthropicSDKResultMessage(message) { if (message.subtype === 'success') { logger.log(`Anthropic SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error_max_turns') { @@ -559,7 +702,7 @@ export class AgentOrchestrator { * Prefix tool names in system prompt for SDK mode * Scans the system prompt and adds mcp__ prefixes to tool names */ - anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { + #anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { let modifiedPrompt = systemPrompt; // Create mapping of unprefixed tool names to prefixed versions @@ -601,168 +744,6 @@ export class AgentOrchestrator { return modifiedPrompt; } - /** - * Run agent conversation with tool calling support - * Uses Anthropic SDK directly with agentic loop - */ - async runAgentConversationAnthropicManual(_userMessage, systemPrompt, builtInTools, dynamicTools) { - // Clean up context (remove stale models, summarize if over limit) before first API call - await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); - - // Use the live session context as the messages array — no local copy - const messages = this.sessionManager.getConversationContext(this.sessionId); - - // Normalize in-place: Gemini-format messages ({role:'user'|'model', parts}) from - // historical session load or a prior Gemini-mode agent switch must become - // Anthropic-format ({role:'user'|'assistant', content}) before the API call. - for (let i = 0; i < messages.length; i++) { - messages[i] = toAnthropicMessage(messages[i]); - } - // Drop any messages that converted to empty content (e.g. Gemini tool call/response - // parts that have no text), which Anthropic rejects. - for (let i = messages.length - 1; i >= 0; i--) { - const content = messages[i].content; - if (!content || (typeof content === 'string' && content.trim() === '') || (Array.isArray(content) && content.length === 0)) { - messages.splice(i, 1); - } - } - - // Check model token count and update session state - const session = this.sessionManager.getSession(this.sessionId); - const currentModel = session?.clientModel; - const mode = session?.mode; - let modelTokenCount = 0; - - if (currentModel) { - const modelJson = JSON.stringify(currentModel, null, 2); - modelTokenCount = countTokens(modelJson); - this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); - } - - const systemBlocks = [ - { type: 'text', text: systemPrompt, cache_control: { type: 'ephemeral', ttl: '5m' } } - ]; - - // Convert tool servers to Anthropic tool format (with conditional filtering) - const tools = this.convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount, mode); - - const maxIterations = this.configManager.getMaxIterations(); - - while (true) { - let continueLoop = true; - let iteration = 0; - let overloadedRetries = 0; - - while (continueLoop && iteration < maxIterations && !this.stopRequested) { - iteration++; - - // Summarize context in-place if it has grown over the token limit - await this.sessionManager.cleanupContext(this.sessionId, config.agentMaxContextTokens); - - try { - // Call Claude API - const thinkingEnabled = config.agentAnthropicThinking?.type !== 'disabled'; - const response = await this.anthropic.messages.create({ - model: config.agentAnthropicModel, - max_tokens: 8192, - system: systemBlocks, - messages: messages, - thinking: config.agentAnthropicThinking, - ...(thinkingEnabled && { effort: config.agentAnthropicEffort }), - tools: tools.length > 0 ? tools : undefined - }); - - this.#logApiUsage(Provider.ANTHROPIC, response.usage); - - // Check if stop was requested during the API call - if (this.stopRequested) { - break; - } - - // Process response - continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); - - // Check if stop was requested during response processing - if (this.stopRequested) { - break; - } - - } catch (error) { - const isOverloaded = error?.status === 529 || error?.error?.type === 'overloaded_error'; - const isNetworkError = error?.cause?.code === 'UND_ERR_SOCKET' || error?.code === 'UND_ERR_SOCKET' || - error?.code === 'ECONNRESET' || error?.cause?.code === 'ECONNRESET' || - (error instanceof TypeError && error.message === 'terminated'); - if ((isOverloaded || isNetworkError) && overloadedRetries < 3) { - overloadedRetries++; - const reason = isOverloaded ? 'overloaded (529)' : 'network error'; - logger.warn(`Anthropic Manual: Anthropic API ${reason}, retry ${overloadedRetries}/3`); - await this.sendToClient(createAgentTextMessage( - this.sessionId, - isOverloaded ? 'The AI service is temporarily overloaded. Retrying...' : 'Network connection interrupted. Retrying...' - )); - await new Promise(resolve => setTimeout(resolve, 5000)); - } else if (isOverloaded) { - logger.error('Anthropic Manual: Anthropic API overloaded (529) after 3 retries, giving up'); - await this.sendToClient(createErrorMessage( - this.sessionId, - 'The AI service is overloaded. Please try again later.', - 'AGENT_ERROR' - )); - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - 'Agent stopped due to overloaded API' - )); - continueLoop = false; - } else { - logger.error('Anthropic Manual: Error in agent conversation loop:', error); - await this.sendToClient(createErrorMessage( - this.sessionId, - `Agent error: ${error.message}`, - 'AGENT_ERROR' - )); - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - 'Agent stopped due to error' - )); - continueLoop = false; - } - } - } - - if (this.stopRequested) { - logger.log(`Anthropic Manual: Agent iteration stopped by user request for session ${this.sessionId}`); - this.stopRequested = false; - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - 'Agent stopped by user request' - )); - break; - } - const reachedMax = iteration >= maxIterations; - if (this.#pendingMessages.length === 0) { - if (reachedMax) { - logger.warn(`Anthropic Manual: Agent conversation reached max iterations (${maxIterations})`); - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'awaiting_user', - `Reached maximum iterations (${maxIterations})` - )); - } - break; - } - - if (reachedMax) { - logger.warn(`Anthropic Manual: max iterations (${maxIterations}) hit; draining queued message with fresh budget`); - } - const next = this.#pendingMessages.shift(); - logger.log(`Anthropic Manual: processing queued message (remaining: ${this.#pendingMessages.length})`); - this.sessionManager.addToConversationHistory(this.sessionId, { role: 'user', content: next }); - } - } - /** * Process agent response and handle tool calls * Returns true if the conversation should continue @@ -798,7 +779,7 @@ export class AgentOrchestrator { hasToolCalls = true; // Notify client that tool call is happening (for UI display) - const isBuiltIn = this.isBuiltInTool(block.name, builtInTools); + const isBuiltIn = this.#isBuiltInTool(block.name, builtInTools); await this.sendToClient(createToolCallNotificationMessage( this.sessionId, block.id, @@ -933,7 +914,7 @@ export class AgentOrchestrator { * Build prior-history context text, summarizing if it exceeds the token budget. * Used when injecting prior agent context into an SDK session. */ - async buildPriorContextTextAnthropic(history) { + async #buildPriorContextTextAnthropic(history) { try { const conversationText = history.map((msg) => { if (msg.role === 'user') { @@ -1008,7 +989,7 @@ export class AgentOrchestrator { /** * Convert tool servers to Anthropic tool format */ - convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { + #convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { const tools = []; const toolNames = new Set(); @@ -1069,7 +1050,7 @@ export class AgentOrchestrator { /** * Check if a tool is a built-in tool */ - isBuiltInTool(toolName, builtInTools) { + #isBuiltInTool(toolName, builtInTools) { return toolName in builtInTools.tools; } @@ -1108,7 +1089,7 @@ export class AgentOrchestrator { this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); } - const toolDeclarations = this.convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); + const toolDeclarations = this.#convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); // Build or reuse per-session Gemini context cache (system prompt + tools) let geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); @@ -1231,12 +1212,12 @@ export class AgentOrchestrator { const { name, args } = part.functionCall; const callId = `fc_${Date.now()}_${Math.random().toString(36).substr(2, 7)}`; - const isBuiltIn = this.isBuiltInTool(name, builtInTools); + const isBuiltIn = this.#isBuiltInTool(name, builtInTools); - await this.#sendSlowToolMessageGeminiADK(name, args); + await this.#sendSlowToolMessageGemini(name, args); await this.sendToClient(createToolCallNotificationMessage(this.sessionId, callId, name, args, isBuiltIn)); - const toolResult = await this.executeToolCallGeminiManual({ name, input: args }, builtInTools, dynamicTools); + const toolResult = await this.executeToolCallGeminiManual({ name, input: args }); if (this.stopRequested) return false; @@ -1314,7 +1295,7 @@ export class AgentOrchestrator { const key = `${tool.name}::${JSON.stringify(args)}`; pendingCallIds.set(key, callId); const isBuiltIn = builtInAdkTools.some(t => t.name === tool.name); - await this.#sendSlowToolMessageGeminiADK(tool.name, args); + await this.#sendSlowToolMessageGemini(tool.name, args); await this.sendToClient(createToolCallNotificationMessage( this.sessionId, callId, tool.name, args, isBuiltIn )); @@ -1355,7 +1336,7 @@ export class AgentOrchestrator { const contextToReplay = previousAgentContext.slice(0, -1).map(toGeminiMessage); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → ADK] Replaying ${contextToReplay.length} messages from prior agent.`); - const contextText = await this.buildPriorContextTextGemini(contextToReplay); + const contextText = await this.#buildPriorContextTextGemini(contextToReplay); prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; } this.#adkHasPriorContext = true; @@ -1373,7 +1354,7 @@ export class AgentOrchestrator { })) { if (event.usageMetadata) this.#logApiUsage(Provider.GOOGLE, event.usageMetadata); if (this.stopRequested) break; - await this.handleAdkEvent(event); + await this.#handleAdkEvent(event); if (isFinalResponse(event)) turnCount++; if (turnCount >= maxIterations) { logger.warn(`Gemini ADK: agent reached max iterations (${maxIterations})`); @@ -1429,7 +1410,7 @@ export class AgentOrchestrator { } } - async handleAdkEvent(event) { + async #handleAdkEvent(event) { if (event.errorCode) { throw new Error(event.errorMessage || `ADK error: ${event.errorCode}`); } @@ -1457,7 +1438,7 @@ export class AgentOrchestrator { // ─── Shared Gemini helpers ────────────────────────────────────────────────── - async #sendSlowToolMessageGeminiADK(toolName, args) { + async #sendSlowToolMessageGemini(toolName, args) { if (toolName === 'create_visualization') { const vizType = args?.useAICustom ? 'AI-generated custom' : (args?.type || 'standard'); await this.sendToClient(createAgentTextMessage(this.sessionId, `Creating ${vizType} visualization: "${args?.title || 'visualization'}"... This may take a moment.`, false)); @@ -1480,8 +1461,9 @@ export class AgentOrchestrator { } } - executeToolCallGeminiManual(toolUse, builtInTools, _dynamicTools) { + executeToolCallGeminiManual(toolUse) { try { + const builtInTools = this.builtInToolProvider.getTools(); if (builtInTools.tools[toolUse.name]) { return builtInTools.tools[toolUse.name].handler(toolUse.input); } @@ -1497,7 +1479,7 @@ export class AgentOrchestrator { } } - convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { + #convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { const declarations = []; const toolNames = new Set(); @@ -1530,7 +1512,7 @@ export class AgentOrchestrator { return declarations; } - async buildPriorContextTextGemini(history) { + async #buildPriorContextTextGemini(history) { try { const conversationText = history.map((msg) => { const role = msg.role === 'user' ? 'User' : 'Assistant'; @@ -1557,34 +1539,6 @@ export class AgentOrchestrator { } } - /** - * Get agent capabilities for session_ready message - */ - getAgentCapabilities() { - return { - builtInTools: this.builtInToolProvider.getToolNames(), - clientTools: this.dynamicToolProvider.getToolNames() - }; - } - - /** - * Destroy the orchestrator and cleanup resources - */ - /** - * Request the agent to stop iterating - */ - stopIteration() { - logger.log(`Stop iteration requested for session ${this.sessionId}`); - this.stopRequested = true; - this.#pendingMessages = []; - this.abortController?.abort(); - } - - queueMessage(message) { - this.#pendingMessages.push(message); - logger.debug(`[orchestrator:${this.sessionId}] Message queued (depth: ${this.#pendingMessages.length})`); - } - async #getGeminiManualConfig(systemPrompt, toolDeclarations) { // Build a cache key from the stable inputs — recreate if they change (e.g. tool set changes on model resize) const cacheKey = systemPrompt + JSON.stringify(toolDeclarations.map(t => t.name)); @@ -1647,6 +1601,25 @@ export class AgentOrchestrator { } } + /** + * Request the agent to stop iterating + */ + stopIteration() { + logger.log(`Stop iteration requested for session ${this.sessionId}`); + this.stopRequested = true; + this.#pendingMessages = []; + this.abortController?.abort(); + } + + + /** + * Queue a new message from the user to be processed + */ + queueMessage(message) { + this.#pendingMessages.push(message); + logger.debug(`[orchestrator:${this.sessionId}] Message queued (depth: ${this.#pendingMessages.length})`); + } + async #fetchCurrentModel() { const tool = this.builtInToolProvider.getTools().tools.get_current_model; if (!tool) return; @@ -1664,6 +1637,10 @@ export class AgentOrchestrator { this.tokenReporter.report({ provider, model: resolvedModel, usage }).catch(() => {}); } + + /** + * Destroy the orchestrator and cleanup resources + */ destroy() { logger.log(`AgentOrchestrator destroyed for session ${this.sessionId}`); diff --git a/tests/agent/AgentOrchestrator.test.js b/tests/agent/AgentOrchestrator.test.js index 1fe2a498..4bf44dd9 100644 --- a/tests/agent/AgentOrchestrator.test.js +++ b/tests/agent/AgentOrchestrator.test.js @@ -7,7 +7,7 @@ import { fileURLToPath } from 'url'; const __dirname = path.dirname(fileURLToPath(import.meta.url)); const CONFIG = { path: path.join(__dirname, '../../agent/config/socrates.md') }; -// Minimal tool bag accepted by isBuiltInTool and execute helpers +// Minimal tool bag accepted by #isBuiltInTool and execute helpers const EMPTY_TOOLS = { tools: {} }; function makeOrchestrator(sessionManager, sessionId) { @@ -323,6 +323,8 @@ describe('processGeminiManualResponse', () => { expect(userResp.role).toBe('user'); expect(userResp.parts).toHaveLength(1); expect(userResp.parts[0].functionResponse.name).toBe('my_tool'); + + expect(orc.executeToolCallGeminiManual).toHaveBeenCalledWith({ name: 'my_tool', input: { x: 1 } }); }); // ── multiple function calls — all responses in ONE user message ─────────── @@ -347,6 +349,9 @@ describe('processGeminiManualResponse', () => { expect(userResp.parts).toHaveLength(2); expect(userResp.parts[0].functionResponse.name).toBe('tool_a'); expect(userResp.parts[1].functionResponse.name).toBe('tool_b'); + + expect(orc.executeToolCallGeminiManual).toHaveBeenCalledWith({ name: 'tool_a', input: {} }); + expect(orc.executeToolCallGeminiManual).toHaveBeenCalledWith({ name: 'tool_b', input: {} }); }); // ── thought parts are ignored by the text renderer ─────────────────────── @@ -412,6 +417,7 @@ describe('processGeminiManualResponse', () => { expect(messages[0].role).toBe('model'); // Only one tool was executed before the stop expect(orc.executeToolCallGeminiManual).toHaveBeenCalledTimes(1); + expect(orc.executeToolCallGeminiManual).toHaveBeenCalledWith({ name: 'tool_a', input: {} }); }); // ── tool errors are included in the response parts ──────────────────────── @@ -431,5 +437,7 @@ describe('processGeminiManualResponse', () => { const functionResp = messages[1].parts[0].functionResponse; expect(functionResp.name).toBe('bad_tool'); expect(functionResp.response.result).toBe('Something failed'); + + expect(orc.executeToolCallGeminiManual).toHaveBeenCalledWith({ name: 'bad_tool', input: {} }); }); }); From 8b28acc23313915d16b972b321850582575be3d9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 12:30:14 -0400 Subject: [PATCH 187/226] remove legacy junk --- agent/utilities/AgentConfigurationManager.js | 27 -------------------- 1 file changed, 27 deletions(-) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index ccda11bf..2cc26c69 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -277,27 +277,6 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us return prompt; } - /** - * Get action sequence for a specific trigger - */ - getActionSequence(triggerType) { - return this.baseConfig.actionSequence?.[triggerType] || []; - } - - /** - * Get tool policy - */ - getToolPolicy(toolName) { - return this.baseConfig.toolPolicies?.[toolName]; - } - - /** - * Get base config (for inspection) - */ - getBaseConfig() { - return this.baseConfig; - } - getAgentName() { return (this.metadata.name || 'agent').toLowerCase().replace(/[^a-z0-9]+/g, '_'); } @@ -317,12 +296,6 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us getAgentMode() { const val = this.metadata.agent_mode; if (val === 'sdk' || val === 'manual') return val; - // legacy qualified forms - if (val === 'anthropic-sdk' || val === 'gemini-adk') return 'sdk'; - if (val === 'anthropic-manual' || val === 'gemini-manual') return 'manual'; - // legacy boolean fallback - const legacy = this.metadata.use_agent_sdk; - if (legacy === false || legacy === 'false') return 'manual'; return 'sdk'; } } From 4dad097ea824aa50ce989abef5b1b357e4fabf0d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 12:30:36 -0400 Subject: [PATCH 188/226] use private methods for non-exposed items --- agent/tools/BuiltInToolProvider.js | 8 ++++---- agent/tools/DynamicToolProvider.js | 12 ++++++------ agent/utilities/SessionManager.js | 12 ++++++------ 3 files changed, 16 insertions(+), 16 deletions(-) diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index 1683dd22..b94ec426 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -61,7 +61,7 @@ export class BuiltInToolProvider { /** * Create the tool collection with all built-in tools */ - createToolCollection() { + #createToolCollection() { return { name: 'builtin_core_tools', tools: { @@ -91,7 +91,7 @@ export class BuiltInToolProvider { * Get the tool collection */ getTools() { - return this.createToolCollection(); + return this.#createToolCollection(); } /** @@ -100,7 +100,7 @@ export class BuiltInToolProvider { * @returns {Object} MCP server instance */ getMcpServer() { - const toolCollection = this.createToolCollection(); + const toolCollection = this.#createToolCollection(); const toolsArr = []; for (const [toolName, toolDef] of Object.entries(toolCollection.tools)) { @@ -161,7 +161,7 @@ export class BuiltInToolProvider { * Get list of built-in tool names */ getToolNames() { - const toolCollection = this.createToolCollection(); + const toolCollection = this.#createToolCollection(); return Object.keys(toolCollection.tools); } } diff --git a/agent/tools/DynamicToolProvider.js b/agent/tools/DynamicToolProvider.js index 8f93d138..13f7aa4c 100644 --- a/agent/tools/DynamicToolProvider.js +++ b/agent/tools/DynamicToolProvider.js @@ -23,14 +23,14 @@ export class DynamicToolProvider { const session = sessionManager.getSession(sessionId); const clientTools = session?.clientTools || []; - this.toolCollection = this.createToolCollectionFromClientTools(clientTools); + this.toolCollection = this.#createToolCollectionFromClientTools(clientTools); logger.log(`DynamicToolProvider initialized for session ${sessionId} with ${clientTools.length} client tools`); } /** * Create tool collection from client tool definitions */ - createToolCollectionFromClientTools(clientTools) { + #createToolCollectionFromClientTools(clientTools) { const tools = {}; for (const toolDef of clientTools) { @@ -38,7 +38,7 @@ export class DynamicToolProvider { tools[toolName] = { description: toolDef.description, inputSchema: this.schemaConverter.convert(toolDef.inputSchema), - handler: this.createToolHandler(toolDef), + handler: this.#createToolHandler(toolDef), timeout: toolDef.timeout ?? 30000 }; } @@ -53,7 +53,7 @@ export class DynamicToolProvider { * Create a tool handler that proxies to the client * Note: toolDef.name is the UNPREFIXED name (e.g., 'get_current_model') */ - createToolHandler(toolDef) { + #createToolHandler(toolDef) { return async (args) => { try { // Use unprefixed name when communicating with client @@ -76,7 +76,7 @@ export class DynamicToolProvider { */ async requestClientExecution(toolName, args, timeout) { timeout = timeout ?? 30000; - const callId = this.generateCallId(); + const callId = this.#generateCallId(); // Create pending call that will be resolved when client responds const resultPromise = this.sessionManager.addPendingToolCall( @@ -124,7 +124,7 @@ export class DynamicToolProvider { /** * Generate a unique call ID */ - generateCallId() { + #generateCallId() { return `call_${Date.now()}_${Math.random().toString(36).substring(7)}`; } diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 2eec93f0..a9fbd733 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -43,7 +43,7 @@ export class SessionManager { // Start cleanup timer (disabled in worker processes — lifetime managed by main) if (!options.disableCleanup) { - this.startCleanupTimer(); + this.#startCleanupTimer(); } logger.log(`SessionManager initialized. Temp base: ${this.tempBasePath}`); @@ -52,7 +52,7 @@ export class SessionManager { /** * Generate a unique session ID */ - generateSessionId() { + #generateSessionId() { return `sess_${randomBytes(16).toString('hex')}`; } @@ -65,7 +65,7 @@ export class SessionManager { throw new Error('Server at capacity. Please try again later.'); } - const sessionId = this.generateSessionId(); + const sessionId = this.#generateSessionId(); const sessionTempDir = join(this.tempBasePath, sessionId); // Create session-specific temp folder @@ -564,7 +564,7 @@ ${conversationText}`; /** * Start cleanup timer for stale sessions and orphaned temp dirs */ - startCleanupTimer() { + #startCleanupTimer() { this.cleanupTimer = setInterval(() => { this.cleanupStaleSessions(); }, this.cleanupInterval); @@ -602,7 +602,7 @@ ${conversationText}`; /** * Clean up orphaned temp directories */ - cleanupOrphanedTempDirs() { + #cleanupOrphanedTempDirs() { try { if (!existsSync(this.tempBasePath)) { return; @@ -654,7 +654,7 @@ ${conversationText}`; } // Final cleanup of any remaining temp directories - this.cleanupOrphanedTempDirs(); + this.#cleanupOrphanedTempDirs(); logger.log('SessionManager shutdown complete'); } From d13b1d0e86f33f534d85b9dc7f386ccc021e99fb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 14:01:34 -0400 Subject: [PATCH 189/226] Add support for queues ovens and conveyors, you opt-in to them in one shot --- README.md | 63 +++++++++++++- agent/AgentWorker.js | 7 +- agent/WebSocket.js | 16 +++- agent/config/merlin.md | 1 - agent/config/socrates.md | 3 +- .../builtin/generateQuantitativeModel.js | 12 ++- agent/tools/builtin/largeModelTools.js | 3 - agent/utilities/MessageProtocol.js | 3 + agent/utilities/SessionManager.js | 7 +- engines/quantitative-experimental/engine.js | 6 ++ engines/quantitative-mentor/engine.js | 6 ++ .../quantitative/QuantitativeEngineBrain.js | 64 ++++++++++++-- engines/quantitative/engine.js | 6 ++ tests/agent/tools/largeModelTools.test.js | 2 +- utilities/LLMWrapper.js | 83 ++++++++++++++++++- 15 files changed, 259 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 589f44c0..489352a3 100644 --- a/README.md +++ b/README.md @@ -93,7 +93,9 @@ Contains the engines used by [Stella](https://www.iseesystems.com/store/products {x: , y: } ... ] - } + }, + subType?: , # Discrete-entity sub-type (see below) + additionalProperties?: { # Sub-type-specific settings (see below) } }], relationships: [{ reasoning?: , # Explanation for why this relationship is here @@ -149,6 +151,65 @@ Models can be organized into modules for better structure and encapsulation: - Ghost variable has same local name as source but exists in consuming module - All equations in consuming module reference the ghost, not the original source +### Discrete-Entity Sub-Types in SD-JSON +Variables can have a `subType` field that identifies them as discrete-event processing elements. Sub-types are a refinement of `type` — the top-level `type` field remains `"stock"` or `"flow"`. + +**Stock sub-types** — also set `additionalProperties` with the relevant configuration: + +| `subType` | Description | +|-----------|-------------| +| `"queue"` | A waiting line that holds discrete items until they are dispatched. | +| `"oven"` | A batch processor where items are held for a fixed cook time then released together. | +| `"conveyor"` | A pipeline delay where items travel a fixed transit time before exiting from the other end. | + +**Flow sub-types** — automatically managed flows. Set `subType` only; leave `equation` as an empty string: + +| `subType` | Description | +|-----------|-------------| +| `"discreteOutflow"` | The output flow from a conveyor or oven. | +| `"conveyorLeakage"` | The leakage flow from a conveyor. | +| `"queueOutflow"` | The output flow from a queue. | +| `"queueOverflow"` | The overflow flow emitted when a full queue cannot accept new items (requires `overflow: true` on the queue). | + +**`additionalProperties`** fields for conveyor and oven stocks: + +| Field | Type | Applies to | Description | +|-------|------|------------|-------------| +| `processTime` | string (equation) | conveyor, oven | Transit time (conveyor) or cook time (oven). Required. | +| `capacity` | string (equation) | conveyor, oven | Maximum number of items the element can hold. | +| `inflowLimit` | string (equation) | conveyor, oven | Maximum inflow rate per time step. | +| `fillTime` | string (equation) | conveyor, oven | Time to fill the element before processing begins. | +| `cleanTime` | string (equation) | conveyor, oven | Clean-up time after emptying before accepting new items. | +| `leakFraction` | string (equation) | conveyor, oven | Fraction of contents that leak out per time step. | +| `exponential` | boolean | conveyor, oven | If true, leakage is exponential (constant fraction); if false (default), linear. | +| `leakZoneStart` | string (equation) | conveyor, oven | Start position (0–100%) of the leak zone along the element. | +| `leakZoneEnd` | string (equation) | conveyor, oven | End position (0–100%) of the leak zone along the element. | +| `leakIntegers` | boolean | conveyor, oven | If true, leakage amounts are rounded to whole integers. | +| `sample` | string (equation) | conveyor, oven | Re-samples transit/cook time when this expression is non-zero. | +| `arrest` | string (equation) | conveyor, oven | Halts movement when this expression is non-zero. | +| `spreadFlow` | string enum | conveyor only | How inflows distribute along the conveyor: `"none"` (default, front-entry), `"even"`, `"destination"`, `"distribution"` (requires `distribEq`), `"source"`. | +| `distribEq` | string (equation) | conveyor only | Distribution table equation used when `spreadFlow` is `"distribution"`. | +| `ignorePrevZones` | boolean | conveyor only | If true, each leak zone operates independently of losses from earlier zones. | +| `forceLeakFraction` | boolean | conveyor only | If true, the same leak fraction is applied regardless of transit duration. | + +**`additionalProperties`** fields for queue stocks: + +| Field | Type | Description | +|-------|------|-------------| +| `fifoEnabled` | boolean | If true, dispatches in FIFO order; if false (default), LIFO. | +| `oneAtATime` | boolean | If true, accepts only one batch per time step. | +| `splitBatches` | boolean | If true, incoming batches can be split when entering. | +| `discrete` | boolean | If true, operates on integer quantities only (discrete mode). | +| `timeStamped` | boolean | If true, items carry a time-stamp recording when they arrived. | +| `attribEq` | string (equation) | Attribute value assigned to each item on entry. | +| `timeStampEq` | string (equation) | Time-stamp value assigned to each item on entry. | +| `prioritizeAttrib` | boolean | If true, inflows are prioritized by attribute value. | +| `roundRobin` | boolean | If true, competing outflows are served in round-robin order. | +| `queueOutflowPriority` | string (equation) | Dispatch priority for the queue outflow. | +| `purgeEq` | string (equation) | Items older than this age (in time units) are automatically removed. | +| `attribFilter` | string (equation) | Only items whose attribute matches this expression can exit. | +| `overflow` | boolean | If true, a `queueOverflow` flow is automatically created for excess items. | + ## Discussion Engine JSON response ``` { diff --git a/agent/AgentWorker.js b/agent/AgentWorker.js index 9f10e81c..f5cdc316 100644 --- a/agent/AgentWorker.js +++ b/agent/AgentWorker.js @@ -117,7 +117,12 @@ class AgentWorker { case 'initialize': { this.#sessionManager.createSessionWithId(SESSION_ID, this.#mockWs, SESSION_TEMP_DIR); - this.#sessionManager.initializeSession(SESSION_ID, msg.mode, msg.model, msg.tools, msg.context, msg.clientId); + const capabilities = { + supportsArrays: msg.supportsArrays, + supportsModules: msg.supportsModules, + supportsSubTypes: msg.supportsSubTypes, + }; + this.#sessionManager.initializeSession(SESSION_ID, msg.mode, msg.model, msg.tools, msg.context, msg.clientId, capabilities); for (const h of (msg.conversationHistory || [])) { this.#sessionManager.addToConversationHistory(SESSION_ID, h); } diff --git a/agent/WebSocket.js b/agent/WebSocket.js index eaa6ab79..5245e07e 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -188,7 +188,18 @@ export class WebSocketHandler { throw new Error('Invalid or missing mode. Must be "cld" or "sfd".'); } - this.#sessionManager.initializeSession(this.#sessionId, message.mode, message.model, message.tools, message.context, message.clientId); + const capabilities = { + supportsArrays: message?.supportsArrays, + supportsModules: message?.supportsModules, + supportsSubTypes: message?.supportsSubTypes + }; + + if (message.clientProduct === 'Stella Architect Beta' && message.clientVersion === '4.3') { + capabilities.supportsArrays = true; + capabilities.supportsModules = true; + capabilities.supportsSubTypes = false; + } + this.#sessionManager.initializeSession(this.#sessionId, message.mode, message.model, message.tools, message.context, message.clientId, capabilities); if (message.historicalMessages && message.historicalMessages.length > 0) { for (const histMsg of message.historicalMessages) { @@ -297,6 +308,9 @@ export class WebSocketHandler { clientId: session.clientId, conversationHistory, isAgentSwitch: isSwitching, + supportsArrays: session.supportsArrays, + supportsModules: session.supportsModules, + supportsSubTypes: session.supportsSubTypes, }); const supportedProviders = selectedAgent.supportedProviders; // [{id, name}] diff --git a/agent/config/merlin.md b/agent/config/merlin.md index c260fcb2..28790858 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -116,7 +116,6 @@ Enforce strict validation: ### generate_quantitative_model *(sfd only)* **When to use:** For sfd models - use arrays and modules when appropriate -**Default parameters:** {"supportsArrays":true,"supportsModules":true} ### generate_qualitative_model *(cld only)* **When to use:** For cld models - can be comprehensive diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 3ec0edb5..4b176703 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -133,8 +133,7 @@ Focus on educational validation: **Auto-suggest** this tool when appropriate ### generate_quantitative_model *(sfd only)* -**When to use:** For sfd models - keep them simple -**Default parameters:** {"supportsArrays":false,"supportsModules":false} +**When to use:** For sfd models - keep them simple, avoid arrays, modules and sub-types ### generate_qualitative_model *(cld only)* **When to use:** For cld models and conceptual exploration diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index f53cffd2..e1e5da58 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -18,8 +18,6 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), - supportsArrays: z.boolean().optional().describe('Whether client supports arrayed models'), - supportsModules: z.boolean().optional().describe('Whether client supports modules') }).optional() }), handler: async ({ prompt, difficulty, parameters }) => { @@ -31,7 +29,15 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s const underlyingModel = difficulty === 'normal' ? config.buildDefaultModel : config.agentToolHighEffortBuildDefaultModel; const currentModel = sessionManager.getClientModel(sessionId); - const result = await callQuantitativeEngine(prompt, currentModel, { ...parameters, underlyingModel, clientId: session.clientId }); + + const sessionCapabilities = { + supportsArrays: session.supportsArrays, + supportsModules: session.supportsModules, + supportsSubTypes: session.supportsSubTypes + }; + const mergedParameters = { ...sessionCapabilities, ...parameters, underlyingModel, clientId: session.clientId }; + + const result = await callQuantitativeEngine(prompt, currentModel, mergedParameters); if (!result.success) { return createErrorResponse(result.error); diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 61019eb9..5bf4a3bb 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -542,9 +542,6 @@ After editing, the model is validated and processed through the quantitative eng return handleError('Error: Model editing is only supported for quantitative (SFD) models'); } - const supportsArrays = session.context?.supportsArrays || false; - const supportsModules = session.context?.supportsModules || false; - if (!model.variables || !Array.isArray(model.variables)) { return handleError('Model validation failed: model.variables must be an array.'); } diff --git a/agent/utilities/MessageProtocol.js b/agent/utilities/MessageProtocol.js index 4f866cc3..e3f9de82 100644 --- a/agent/utilities/MessageProtocol.js +++ b/agent/utilities/MessageProtocol.js @@ -120,6 +120,9 @@ export const InitializeSessionMessageSchema = z.object({ mode: z.enum(['cld', 'sfd']).describe('Model type: CLD (Causal Loop Diagram) or SFD (Stock Flow Diagram). This cannot be changed during the session.'), model: SDModelSchema, tools: z.array(ToolDefinitionSchema).describe('Array of client-side tools available for the agent to call'), + supportsArrays: z.boolean().optional().describe('Whether the client supports arrayed models'), + supportsModules: z.boolean().optional().describe('Whether the client supports modular models'), + supportsSubTypes: z.boolean().optional().describe('Whether the client supports queues, conveyors, and ovens'), historicalMessages: z.array(HistoricalMessageSchema).optional().describe('Optional array of historical messages from a previous session to provide context'), context: z.record(z.string(), z.any()).optional().describe('Optional context information (metadata, user preferences, etc.)'), timestamp: z.string().optional().describe('ISO 8601 timestamp of when the message was created') diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index a9fbd733..b6e8677a 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -160,7 +160,7 @@ export class SessionManager { /** * Initialize a session with model and tools */ - initializeSession(sessionId, mode, model, tools, context, clientId) { + initializeSession(sessionId, mode, model, tools, context, clientId, capabilities = {}) { const session = this.getSession(sessionId); if (!session) { throw new Error(`Session not found: ${sessionId}`); @@ -170,7 +170,7 @@ export class SessionManager { if (mode !== 'cld' && mode !== 'sfd') { throw new Error(`Invalid mode: ${mode}. Must be 'cld' or 'sfd'`); } - + // Set model type (can only be set once) if (session.mode && session.mode !== mode) { throw new Error(`Cannot change model type from ${session.mode} to ${mode} during session`); @@ -184,6 +184,9 @@ export class SessionManager { session.clientTools = tools || []; session.context = context || {}; session.clientId = clientId; + session.supportsArrays = capabilities.supportsArrays ?? false; + session.supportsModules = capabilities.supportsModules ?? false; + session.supportsSubTypes = capabilities.supportsSubTypes ?? false; this.updateClientModel(sessionId, model); logger.log(`Session initialized: ${sessionId} with mode=${mode} and ${tools.length} client tools`); diff --git a/engines/quantitative-experimental/engine.js b/engines/quantitative-experimental/engine.js index 31f62d06..8d94b92d 100644 --- a/engines/quantitative-experimental/engine.js +++ b/engines/quantitative-experimental/engine.js @@ -114,6 +114,12 @@ to experiment with the specific prompts passed to the LLM.`; required: false, uiElement: "hidden", description: "Whether or not your client can handle models with modules" + },{ + name: "supportsSubTypes", + type: "boolean", + required: false, + uiElement: "hidden", + description: "Whether or not your client can handle models with queues, conveyors or ovens" } ]); } diff --git a/engines/quantitative-mentor/engine.js b/engines/quantitative-mentor/engine.js index c11b7535..b976478b 100644 --- a/engines/quantitative-mentor/engine.js +++ b/engines/quantitative-mentor/engine.js @@ -65,6 +65,12 @@ Works by sending an LLM the user's request along with a set of systems thinking required: false, uiElement: "hidden", description: "Whether or not your client can handle models with modules" + },{ + name: "supportsSubTypes", + type: "boolean", + required: false, + uiElement: "hidden", + description: "Whether or not your client can handle models with queues, conveyors or ovens" }]; } diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index dd0b3f26..2f7aa768 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -41,6 +41,37 @@ When constructing modular models, you MUST create cross-level ghost variables fo FAILURE TO CREATE AND LINK GHOST VARIABLES WILL BREAK SIMULATION. This is non-negotiable. REFERENCING THE ORIGINAL SOURCE VARIABLE DIRECTLY FROM A CONSUMING MODULE WILL BREAK SIMULATION. Always use the ghost.` + static SUB_TYPE_REQUIREMENTS_SECTION = +`CRITICAL DISCRETE-ENTITY SUB-TYPE REQUIREMENTS: + +WHEN TO USE DISCRETE ENTITY SUB-TYPES: +- Use sub-types ONLY when the model explicitly requires discrete-event, queue, or pipeline semantics +- DO NOT use sub-types for standard continuous stocks and flows — they add significant complexity +- Only introduce sub-types when specifically requested by the user + +STOCK SUB-TYPES — set 'subType' on the variable and include 'additionalProperties': +- 'queue': A waiting line that holds discrete items until they can be processed. Set subType: 'queue' and provide additionalProperties with the relevant queue settings. +- 'oven': A batch processor where items are held for a fixed cook time (processTime) then released together. Set subType: 'oven' and provide additionalProperties with at minimum processTime. +- 'conveyor': A pipeline delay where items travel for a fixed transit time (processTime) before exiting from the other end. Set subType: 'conveyor' and provide additionalProperties with at minimum processTime. + +FLOW SUB-TYPES — set 'subType' only; DO NOT write an equation for these flows; leave 'equation' empty: +- 'discreteOutflow': The automatic output flow from a conveyor or oven. +- 'conveyorLeakage': The automatic leakage flow from a conveyor. +- 'queueOutflow': The automatic output flow from a queue. +- 'queueOverflow': The automatic overflow flow emitted when a full queue cannot accept new items (only when overflow is enabled on the queue). + +EQUATION RULES FOR SUB-TYPED VARIABLES: +- For 'queue', 'oven', and 'conveyor' stocks: the 'equation' field is the initial value, exactly like a regular stock. +- For flow sub-types ('discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow'): leave 'equation' as an empty string — these flows are automatically computed. +- All timing, capacity, and behavioral settings go in 'additionalProperties', NOT in equations. +- The 'additionalProperties' object is only required for 'queue', 'oven', and 'conveyor' stocks; omit it for flow sub-types. + +RELATIONSHIP REQUIREMENTS FOR SUB-TYPED FLOWS: +- When a flow's sub-type properties (additionalProperties) contain expressions that reference other variables, you MUST create relationships pointing FROM those variables TO the flow. +- Treat sub-type property expressions exactly like normal equations: any variable name appearing in an additionalProperties value requires a relationship arrow from that variable to the flow. +- These expressions must follow XMILE syntax and use underscores for spaces in variable names (e.g. 'service_time' not 'service time'). +- Failure to add these relationships will break the simulation's dependency graph.` + static ARRAY_REQUIREMENTS_SECTION = `CRITICAL ARRAY REQUIREMENTS: @@ -444,7 +475,7 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov static PROFESSIONAL_MODE_INTRO = `You are a System Dynamics Professional Modeler. Generate stock and flow models from user-provided text following these mandatory rules:` - static generateSystemPrompt(mentorMode, supportsArrays, supportsModules) { + static generateSystemPrompt(mentorMode, supportsArrays, supportsModules, supportsSubTypes) { let prompt = ""; // Add intro based on mode @@ -464,6 +495,11 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov prompt += QuantitativeEngineBrain.ARRAY_REQUIREMENTS_SECTION + "\n\n"; } + // Add sub-type requirements if sub-types are supported + if (supportsSubTypes) { + prompt += QuantitativeEngineBrain.SUB_TYPE_REQUIREMENTS_SECTION + "\n\n"; + } + // Always add mandatory process section prompt += QuantitativeEngineBrain.MANDATORY_PROCESS_SECTION + "\n\n"; @@ -524,7 +560,8 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov backgroundPrompt: QuantitativeEngineBrain.DEFAULT_BACKGROUND_PROMPT, problemStatementPrompt: QuantitativeEngineBrain.DEFAULT_PROBLEM_STATEMENT_PROMPT, supportsArrays: false, - supportsModules: false + supportsModules: false, + supportsSubTypes: false }; #llmWrapper; @@ -532,12 +569,13 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov constructor(params) { Object.assign(this.#data, params); - // Generate system prompt based on mentor mode, array support, and module support if not explicitly provided + // Generate system prompt based on mentor mode, array support, module support, and sub-type support if not explicitly provided if (!this.#data.systemPrompt) { this.#data.systemPrompt = QuantitativeEngineBrain.generateSystemPrompt( this.#data.mentorMode, this.#data.supportsArrays, - this.#data.supportsModules + this.#data.supportsModules, + this.#data.supportsSubTypes ); } @@ -842,6 +880,19 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov } }); } + + // Process additionalProperties expressions for sub-typed variables + if (v.subType && v.additionalProperties && typeof v.additionalProperties === 'object') { + for (const [key, val] of Object.entries(v.additionalProperties)) { + if (typeof val === 'string') { + const original = val; + v.additionalProperties[key] = this.#replaceVariableNamesInEquation(val, variableNameMap); + if (original !== v.additionalProperties[key]) { + logger.debug(`[XMILE Conversion] Variable "${v.name}" additionalProperties.${key}: "${original}" → "${v.additionalProperties[key]}"`); + } + } + } + } }); } @@ -907,7 +958,8 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov this.#data.systemPrompt = QuantitativeEngineBrain.generateSystemPrompt( this.#data.mentorMode, this.#data.supportsArrays, - this.#data.supportsModules + this.#data.supportsModules, + this.#data.supportsSubTypes ); } @@ -915,7 +967,7 @@ NEVER identify feedback loops for the user in explanatory text. Let users discov //start with the system prompt const { underlyingModel, systemRole, temperature, reasoningEffort } = this.#llmWrapper.getLLMParameters(); let systemPrompt = this.#data.systemPrompt; - let responseFormat = this.#llmWrapper.generateQuantitativeSDJSONResponseSchema(this.#data.mentorMode, this.#data.supportsArrays); + let responseFormat = this.#llmWrapper.generateQuantitativeSDJSONResponseSchema(this.#data.mentorMode, this.#data.supportsArrays, this.#data.supportsSubTypes); if (!this.#llmWrapper.model.hasStructuredOutput) { throw new Error("Unsupported LLM " + this.#data.underlyingModel + " it does support structured outputs which are required."); diff --git a/engines/quantitative/engine.js b/engines/quantitative/engine.js index 9a99cffb..d8846fc3 100644 --- a/engines/quantitative/engine.js +++ b/engines/quantitative/engine.js @@ -65,6 +65,12 @@ Works by sending an LLM the user's request along with a set of systems thinking required: false, uiElement: "hidden", description: "Whether or not your client can handle models with modules" + },{ + name: "supportsSubTypes", + type: "boolean", + required: false, + uiElement: "hidden", + description: "Whether or not your client can handle models with queues, conveyors or ovens" }]; } diff --git a/tests/agent/tools/largeModelTools.test.js b/tests/agent/tools/largeModelTools.test.js index 08d470c8..d5ba97bf 100644 --- a/tests/agent/tools/largeModelTools.test.js +++ b/tests/agent/tools/largeModelTools.test.js @@ -239,7 +239,7 @@ describe('createEditModelSectionTool normalization', () => { function makeEditTool(sendToClient) { session = { mode: 'sfd', - context: { supportsArrays: false, supportsModules: true }, + context: { supportsArrays: false, supportsModules: true, supportsSubTypes: true }, pendingModelRequests: new Map(), }; const sessionManager = { diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 6403eaa4..da005ea3 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -236,7 +236,41 @@ export class LLMWrapper { "moduleName": "The name of a module. Must follow variable naming rules: contains only alphanumeric characters and underscores, no spaces or special characters. Should never be module-qualified (do not include parent module names with dots). This is a simple identifier for the module itself.", "parentModule": "The name of the module that contains this module. If this module is at the top level (not nested within another module), this should be an empty string. If nested, this should be the simple name (not module-qualified) of the parent module.", - "modules": "A list of module definitions that exist within this model. Each module represents a logical grouping or subsystem within the model hierarchy. Modules can contain variables and can be nested within other modules to create hierarchical model structures." + "modules": "A list of module definitions that exist within this model. Each module represents a logical grouping or subsystem within the model hierarchy. Modules can contain variables and can be nested within other modules to create hierarchical model structures.", + + "subType": "The sub-type of this stock or flow. Only set when the variable is a discrete-event processing element. Stock sub-types: 'queue' (a waiting line that holds items until they can be processed), 'oven' (a batch processor where items are held for a fixed cook time then released together), 'conveyor' (a pipeline delay where items travel a fixed transit time before exiting). Flow sub-types — these are automatically managed flows you name but do NOT write equations for: 'discreteOutflow' (output from a conveyor or oven), 'conveyorLeakage' (leakage from a conveyor), 'queueOutflow' (output from a queue), 'queueOverflow' (overflow when a queue is full). Omit this field for all regular stocks, flows, and variables.", + + "additionalProperties": "Sub-type-specific configuration for queue, oven, and conveyor stocks. Only include this object when subType is 'queue', 'oven', or 'conveyor'. Omit entirely for all other variable types including flow sub-types.", + + "processTime": "CONVEYOR/OVEN: Equation string for the transit time (conveyor) or cook time (oven) — how long items spend inside. Required for conveyor and oven sub-types.", + "capacity": "CONVEYOR/OVEN: Equation string for the maximum number of items the element can hold. Leave empty for unlimited capacity.", + "inflowLimit": "CONVEYOR/OVEN: Equation string for the maximum inflow rate per time step. Leave empty for no inflow limit.", + "fillTime": "CONVEYOR/OVEN: Equation string for the time required to fill the element before it begins processing. Leave empty to use the default.", + "cleanTime": "CONVEYOR/OVEN: Equation string for the clean-up time after the element empties before it can accept new items. Leave empty if no clean time is needed.", + "leakFraction": "CONVEYOR/OVEN: Equation string for the fraction of contents that leak out per time step. Leave empty for no leakage.", + "exponential": "CONVEYOR/OVEN: If true, leakage is exponential (a constant fraction of remaining contents leaks each step). If false (default), leakage is linear (a fixed absolute amount).", + "leakZoneStart": "CONVEYOR/OVEN: Equation string for the starting position (as a percentage 0–100) along the conveyor or oven where leakage begins. Leave empty to apply leakage across the entire length.", + "leakZoneEnd": "CONVEYOR/OVEN: Equation string for the ending position (as a percentage 0–100) along the conveyor or oven where leakage ends. Leave empty to apply leakage across the entire length.", + "leakIntegers": "CONVEYOR/OVEN: If true, leakage amounts are rounded to whole integers.", + "sample": "CONVEYOR/OVEN: Equation string — re-samples the transit or cook time when this expression evaluates to non-zero.", + "arrest": "CONVEYOR/OVEN: Equation string — halts movement through the conveyor or oven when this expression evaluates to non-zero.", + "spreadFlow": "CONVEYOR only: Controls how inflows are distributed across the conveyor's length. 'none' (default): all inflow enters at the front. 'even': spread evenly across all positions. 'destination': spread proportional to existing content volume at each position. 'distribution': spread according to a user-defined distribution table (requires distribEq). 'source': spread based on the source's material profile.", + "distribEq": "CONVEYOR only: Equation string specifying the distribution table used when spreadFlow is 'distribution'. Leave empty when spreadFlow is not 'distribution'.", + "ignorePrevZones": "CONVEYOR only: If true, each leak zone operates independently without accounting for losses from earlier zones in the same conveyor.", + "forceLeakFraction": "CONVEYOR only: If true, the same leak fraction is applied regardless of how long items have been in transit.", + "fifoEnabled": "QUEUE only: If true, the queue dispatches items in FIFO (first-in, first-out) order. If false (default), items are dispatched in LIFO (last-in, first-out) order.", + "oneAtATime": "QUEUE only: If true, the queue accepts only one batch of items per time step.", + "splitBatches": "QUEUE only: If true, incoming batches may be split when entering the queue (partial batches are allowed).", + "discrete": "QUEUE only: If true, the queue operates in discrete mode (integer item quantities only). If false (default), the queue operates continuously.", + "timeStamped": "QUEUE only: If true, each item entering the queue carries a time-stamp recording when it arrived.", + "attribEq": "QUEUE only: Equation string for the attribute value assigned to each item as it enters the queue. Leave empty if items carry no attribute.", + "timeStampEq": "QUEUE only: Equation string for the time-stamp value assigned to each item as it enters. Leave empty to use the default arrival time.", + "prioritizeAttrib": "QUEUE only: If true, inflows are prioritized based on their attribute values when entering the queue.", + "roundRobin": "QUEUE only: If true, the queue uses round-robin selection when dispatching items to competing outflows.", + "queueOutflowPriority": "QUEUE only: Equation string setting the dispatch priority for the queue outflow. Leave empty to use the default priority.", + "purgeEq": "QUEUE only: Equation string specifying a maximum age (in time units) — items older than this value are automatically removed from the queue.", + "attribFilter": "QUEUE only: Equation string — only items whose attribute value matches this expression are eligible to exit the queue.", + "overflow": "QUEUE only: If true, an automatic queue overflow flow is created to handle items that cannot enter because the queue is full." }; generateSeldonResponseSchema() { @@ -345,7 +379,7 @@ export class LLMWrapper { return Relationships; } - generateQuantitativeSDJSONResponseSchema(mentorMode, supportsArrays) { + generateQuantitativeSDJSONResponseSchema(mentorMode, supportsArrays, supportsSubTypes) { const TypeEnum = z.enum(["stock", "flow", "variable"]).describe(LLMWrapper.SCHEMA_STRINGS.type); const PolarityEnum = z.enum(["+", "-"]).describe(LLMWrapper.SCHEMA_STRINGS.polarity); @@ -399,6 +433,51 @@ export class LLMWrapper { variableObj.arrayEquations = z.array(ArrayElementEquation).describe(LLMWrapper.SCHEMA_STRINGS.variableArrayEquation); } + if (supportsSubTypes) { + const SubTypeEnum = z.enum([ + "queue", "oven", "conveyor", + "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow" + ]).describe(LLMWrapper.SCHEMA_STRINGS.subType); + + const AdditionalProperties = z.object({ + // CONVEYOR + OVEN + processTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.processTime).optional(), + capacity: z.string().describe(LLMWrapper.SCHEMA_STRINGS.capacity).optional(), + inflowLimit: z.string().describe(LLMWrapper.SCHEMA_STRINGS.inflowLimit).optional(), + fillTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.fillTime).optional(), + cleanTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.cleanTime).optional(), + leakFraction: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakFraction).optional(), + exponential: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.exponential).optional(), + leakZoneStart: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakZoneStart).optional(), + leakZoneEnd: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakZoneEnd).optional(), + leakIntegers: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.leakIntegers).optional(), + sample: z.string().describe(LLMWrapper.SCHEMA_STRINGS.sample).optional(), + arrest: z.string().describe(LLMWrapper.SCHEMA_STRINGS.arrest).optional(), + // CONVEYOR-only + spreadFlow: z.enum(["none", "even", "destination", "distribution", "source"]).describe(LLMWrapper.SCHEMA_STRINGS.spreadFlow).optional(), + distribEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.distribEq).optional(), + ignorePrevZones: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.ignorePrevZones).optional(), + forceLeakFraction: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.forceLeakFraction).optional(), + // QUEUE + fifoEnabled: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.fifoEnabled).optional(), + oneAtATime: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.oneAtATime).optional(), + splitBatches: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.splitBatches).optional(), + discrete: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.discrete).optional(), + timeStamped: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.timeStamped).optional(), + attribEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.attribEq).optional(), + timeStampEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.timeStampEq).optional(), + prioritizeAttrib: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.prioritizeAttrib).optional(), + roundRobin: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.roundRobin).optional(), + queueOutflowPriority: z.string().describe(LLMWrapper.SCHEMA_STRINGS.queueOutflowPriority).optional(), + purgeEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.purgeEq).optional(), + attribFilter: z.string().describe(LLMWrapper.SCHEMA_STRINGS.attribFilter).optional(), + overflow: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.overflow).optional() + }).describe(LLMWrapper.SCHEMA_STRINGS.additionalProperties); + + variableObj.subType = SubTypeEnum.optional(); + variableObj.additionalProperties = AdditionalProperties.optional(); + } + const Variable = z.object(variableObj); const Variables = z.array(Variable).describe(LLMWrapper.SCHEMA_STRINGS.variables); From d3bed8d5c71d281dc258ad32c549ad0167c0150e Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 17:50:37 -0400 Subject: [PATCH 190/226] make sure we always get an agent complete --- agent/AgentOrchestrator.js | 30 +++++++++++++++++++----------- 1 file changed, 19 insertions(+), 11 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index bd944e6f..ae80e412 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -154,6 +154,11 @@ export class AgentOrchestrator { error.message, 'CONVERSATION_ERROR' )); + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'awaiting_user', + `Agent error: ${error.message}` + )); } } @@ -896,18 +901,18 @@ export class AgentOrchestrator { return true; } - // If stop_reason is end_turn, we're done - if (response.stop_reason === 'end_turn') { - await this.sendToClient(createAgentCompleteMessage( - this.sessionId, - 'success', - 'Task completed successfully' - )); - return false; + // Continue if stop_reason is max_tokens + if (response.stop_reason === 'max_tokens') { + return true; } - // Continue if stop_reason is max_tokens or other reasons - return response.stop_reason === 'max_tokens'; + // Any other stop reason (end_turn, stop_sequence, etc.) — complete + await this.sendToClient(createAgentCompleteMessage( + this.sessionId, + 'success', + 'Task completed successfully' + )); + return false; } /** @@ -1184,7 +1189,10 @@ export class AgentOrchestrator { async processGeminiManualResponse(response, messages, builtInTools, dynamicTools) { const candidate = response.candidates?.[0]; - if (!candidate?.content) return false; + if (!candidate?.content) { + await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'success', 'Task completed successfully')); + return false; + } const parts = candidate.content.parts || []; From 6fbc006cd71ea5bec0fa8488c465e59b9032b822 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 17:55:44 -0400 Subject: [PATCH 191/226] make sure we never double send agent_complete messages --- agent/AgentOrchestrator.js | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index ae80e412..d2d05c18 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -225,6 +225,7 @@ export class AgentOrchestrator { while (true) { let continueLoop = true; + let completedNaturally = false; let iteration = 0; let overloadedRetries = 0; @@ -256,6 +257,7 @@ export class AgentOrchestrator { // Process response continueLoop = await this.processAgentResponseAnthropicManual(response, messages, builtInTools, dynamicTools); + if (!continueLoop && !this.stopRequested) completedNaturally = true; // Check if stop was requested during response processing if (this.stopRequested) { @@ -289,6 +291,7 @@ export class AgentOrchestrator { 'Agent stopped due to overloaded API' )); continueLoop = false; + completedNaturally = true; } else { logger.error('Anthropic Manual: Error in agent conversation loop:', error); await this.sendToClient(createErrorMessage( @@ -302,6 +305,7 @@ export class AgentOrchestrator { 'Agent stopped due to error' )); continueLoop = false; + completedNaturally = true; } } } @@ -316,7 +320,7 @@ export class AgentOrchestrator { )); break; } - const reachedMax = iteration >= maxIterations; + const reachedMax = !completedNaturally && iteration >= maxIterations; if (this.#pendingMessages.length === 0) { if (reachedMax) { logger.warn(`Anthropic Manual: Agent conversation reached max iterations (${maxIterations})`); @@ -1154,11 +1158,13 @@ export class AgentOrchestrator { await this.sendToClient(createErrorMessage(this.sessionId, 'The AI service is rate-limited. Please try again later.', 'AGENT_ERROR')); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to rate limiting')); continueLoop = false; + completedNaturally = true; } else { logger.error('Gemini Manual: Error in Gemini agent conversation loop:', error); await this.sendToClient(createErrorMessage(this.sessionId, `Agent error: ${error.message}`, 'AGENT_ERROR')); await this.sendToClient(createAgentCompleteMessage(this.sessionId, 'awaiting_user', 'Agent stopped due to error')); continueLoop = false; + completedNaturally = true; } } } From 88305c340241da1272e4be268c5efae5d0b965eb Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 18:40:20 -0400 Subject: [PATCH 192/226] more rules about subtypes --- .../quantitative/QuantitativeEngineBrain.js | 24 ++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index 2f7aa768..3f9874b9 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -70,7 +70,29 @@ RELATIONSHIP REQUIREMENTS FOR SUB-TYPED FLOWS: - When a flow's sub-type properties (additionalProperties) contain expressions that reference other variables, you MUST create relationships pointing FROM those variables TO the flow. - Treat sub-type property expressions exactly like normal equations: any variable name appearing in an additionalProperties value requires a relationship arrow from that variable to the flow. - These expressions must follow XMILE syntax and use underscores for spaces in variable names (e.g. 'service_time' not 'service time'). -- Failure to add these relationships will break the simulation's dependency graph.` + +CONVEYOR DESIGN RULES: + +When to use conveyor vs. stock: +- Use a conveyor when entities must spend a minimum or fixed duration in a stage (pipeline delay, aging, disease duration). The conveyor transit time encodes the dwell time. +- Use a plain stock when residence time is exponentially distributed (first-order delay) or when there is no minimum dwell requirement. + +Leakage vs. outflow — critical distinction: +- 'conveyorLeakage' removes entities before they complete the full transit time (early exit: disease progression, dropout, death-in-stage). +- 'discreteOutflow' represents entities that completed the full transit (graduation, recovery-after-full-duration). +- NEVER split the conveyor outflow via auxiliary arithmetic (e.g. mild_outflow * fraction_progressing) to route into different next stages — that only applies the split at the moment of exit, not continuously during dwell. + +Wiring leakages: +- A leakage flow must be typed as 'conveyorLeakage', NOT as variable or auxiliary — only a flow type is recognized as an inflow by the solver. +- Every leakage flow must appear in the outflows list of its source conveyor AND in the inflows list of its destination stock/conveyor. + +Leakage rate formula: +- leakage_rate = conveyor_stock * fractional_leakage_rate, where fractional_leakage_rate has units 1/time. + +Mass conservation check: +- Sum of all population stocks at t=0 must equal sum at all t (unless the model has explicit external births/deaths). +- Every leakage flow is typed 'conveyorLeakage' (not variable/auxiliary). +- The conveyor's natural outflow (discreteOutflow) is wired to exactly one destination — do not split it.` static ARRAY_REQUIREMENTS_SECTION = `CRITICAL ARRAY REQUIREMENTS: From d47f0e89f45a4799f41f3f79a8a0d4c187793b69 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 19:30:30 -0400 Subject: [PATCH 193/226] cleanup the SubType setup for Stella specific entity types --- README.md | 39 ++++++------ .../quantitative/QuantitativeEngineBrain.js | 61 +++++++++---------- utilities/LLMWrapper.js | 31 ++++------ 3 files changed, 64 insertions(+), 67 deletions(-) diff --git a/README.md b/README.md index 489352a3..a868d6fd 100644 --- a/README.md +++ b/README.md @@ -167,7 +167,7 @@ Variables can have a `subType` field that identifies them as discrete-event proc | `subType` | Description | |-----------|-------------| | `"discreteOutflow"` | The output flow from a conveyor or oven. | -| `"conveyorLeakage"` | The leakage flow from a conveyor. | +| `"conveyorLeakage"` | The leakage flow from a conveyor. Set `additionalProperties` to configure leakage behavior. | | `"queueOutflow"` | The output flow from a queue. | | `"queueOverflow"` | The overflow flow emitted when a full queue cannot accept new items (requires `overflow: true` on the queue). | @@ -178,19 +178,29 @@ Variables can have a `subType` field that identifies them as discrete-event proc | `processTime` | string (equation) | conveyor, oven | Transit time (conveyor) or cook time (oven). Required. | | `capacity` | string (equation) | conveyor, oven | Maximum number of items the element can hold. | | `inflowLimit` | string (equation) | conveyor, oven | Maximum inflow rate per time step. | -| `fillTime` | string (equation) | conveyor, oven | Time to fill the element before processing begins. | -| `cleanTime` | string (equation) | conveyor, oven | Clean-up time after emptying before accepting new items. | -| `leakFraction` | string (equation) | conveyor, oven | Fraction of contents that leak out per time step. | -| `exponential` | boolean | conveyor, oven | If true, leakage is exponential (constant fraction); if false (default), linear. | -| `leakZoneStart` | string (equation) | conveyor, oven | Start position (0–100%) of the leak zone along the element. | -| `leakZoneEnd` | string (equation) | conveyor, oven | End position (0–100%) of the leak zone along the element. | -| `leakIntegers` | boolean | conveyor, oven | If true, leakage amounts are rounded to whole integers. | +| `fillTime` | string (equation) | oven only | Time to fill the element before processing begins. | +| `cleanTime` | string (equation) | oven only | Clean-up time after emptying before accepting new items. | | `sample` | string (equation) | conveyor, oven | Re-samples transit/cook time when this expression is non-zero. | | `arrest` | string (equation) | conveyor, oven | Halts movement when this expression is non-zero. | -| `spreadFlow` | string enum | conveyor only | How inflows distribute along the conveyor: `"none"` (default, front-entry), `"even"`, `"destination"`, `"distribution"` (requires `distribEq`), `"source"`. | -| `distribEq` | string (equation) | conveyor only | Distribution table equation used when `spreadFlow` is `"distribution"`. | -| `ignorePrevZones` | boolean | conveyor only | If true, each leak zone operates independently of losses from earlier zones. | -| `forceLeakFraction` | boolean | conveyor only | If true, the same leak fraction is applied regardless of transit duration. | + +**`additionalProperties`** fields for regular flows (inflows to a conveyor): + +| Field | Type | Description | +|-------|------|-------------| +| `spreadFlow` | string enum | How this flow distributes along the conveyor when it enters: `"none"` (default, front-entry), `"even"`, `"destination"`, `"distribution"` (requires `distribEq`), `"source"`. | +| `distribEq` | string (equation) | Distribution table equation. Required when `spreadFlow` is `"distribution"`. | + +**`additionalProperties`** fields for `conveyorLeakage` flows: + +| Field | Type | Description | +|-------|------|-------------| +| `leakFraction` | string (equation) | Fraction of conveyor contents that leak out per time step. | +| `exponential` | boolean | If true, leakage is exponential (constant fraction); if false (default), linear. | +| `leakZoneStart` | string (equation) | Start position (0–100%) along the conveyor where leakage begins. Leave empty for leakage across the entire length. | +| `leakZoneEnd` | string (equation) | End position (0–100%) along the conveyor where leakage ends. Leave empty for leakage across the entire length. | +| `leakIntegers` | boolean | If true, leakage amounts are rounded to whole integers. | +| `ignorePrevZones` | boolean | If true, each leak zone operates independently of losses from earlier zones. | +| `forceLeakFraction` | boolean | If true, the same leak fraction is applied regardless of transit duration. | **`additionalProperties`** fields for queue stocks: @@ -200,14 +210,9 @@ Variables can have a `subType` field that identifies them as discrete-event proc | `oneAtATime` | boolean | If true, accepts only one batch per time step. | | `splitBatches` | boolean | If true, incoming batches can be split when entering. | | `discrete` | boolean | If true, operates on integer quantities only (discrete mode). | -| `timeStamped` | boolean | If true, items carry a time-stamp recording when they arrived. | -| `attribEq` | string (equation) | Attribute value assigned to each item on entry. | -| `timeStampEq` | string (equation) | Time-stamp value assigned to each item on entry. | -| `prioritizeAttrib` | boolean | If true, inflows are prioritized by attribute value. | | `roundRobin` | boolean | If true, competing outflows are served in round-robin order. | | `queueOutflowPriority` | string (equation) | Dispatch priority for the queue outflow. | | `purgeEq` | string (equation) | Items older than this age (in time units) are automatically removed. | -| `attribFilter` | string (equation) | Only items whose attribute matches this expression can exit. | | `overflow` | boolean | If true, a `queueOverflow` flow is automatically created for excess items. | ## Discussion Engine JSON response diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index 3f9874b9..d5871fd2 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -49,27 +49,29 @@ WHEN TO USE DISCRETE ENTITY SUB-TYPES: - DO NOT use sub-types for standard continuous stocks and flows — they add significant complexity - Only introduce sub-types when specifically requested by the user -STOCK SUB-TYPES — set 'subType' on the variable and include 'additionalProperties': -- 'queue': A waiting line that holds discrete items until they can be processed. Set subType: 'queue' and provide additionalProperties with the relevant queue settings. -- 'oven': A batch processor where items are held for a fixed cook time (processTime) then released together. Set subType: 'oven' and provide additionalProperties with at minimum processTime. -- 'conveyor': A pipeline delay where items travel for a fixed transit time (processTime) before exiting from the other end. Set subType: 'conveyor' and provide additionalProperties with at minimum processTime. - -FLOW SUB-TYPES — set 'subType' only; DO NOT write an equation for these flows; leave 'equation' empty: -- 'discreteOutflow': The automatic output flow from a conveyor or oven. -- 'conveyorLeakage': The automatic leakage flow from a conveyor. -- 'queueOutflow': The automatic output flow from a queue. -- 'queueOverflow': The automatic overflow flow emitted when a full queue cannot accept new items (only when overflow is enabled on the queue). - -EQUATION RULES FOR SUB-TYPED VARIABLES: -- For 'queue', 'oven', and 'conveyor' stocks: the 'equation' field is the initial value, exactly like a regular stock. -- For flow sub-types ('discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow'): leave 'equation' as an empty string — these flows are automatically computed. -- All timing, capacity, and behavioral settings go in 'additionalProperties', NOT in equations. -- The 'additionalProperties' object is only required for 'queue', 'oven', and 'conveyor' stocks; omit it for flow sub-types. - -RELATIONSHIP REQUIREMENTS FOR SUB-TYPED FLOWS: -- When a flow's sub-type properties (additionalProperties) contain expressions that reference other variables, you MUST create relationships pointing FROM those variables TO the flow. -- Treat sub-type property expressions exactly like normal equations: any variable name appearing in an additionalProperties value requires a relationship arrow from that variable to the flow. -- These expressions must follow XMILE syntax and use underscores for spaces in variable names (e.g. 'service_time' not 'service time'). +STOCK SUB-TYPES — set 'subType' and include 'additionalProperties': +- 'queue': Waiting line. additionalProperties: fifoEnabled, oneAtATime, splitBatches, discrete, roundRobin, queueOutflowPriority, purgeEq, overflow. +- 'oven': Batch processor; all items released together after processTime. additionalProperties: processTime (required), capacity, inflowLimit, fillTime, cleanTime, sample, arrest. +- 'conveyor': Pipeline delay; items exit after processTime. additionalProperties: processTime (required), capacity, inflowLimit, sample, arrest. + +FLOW SUB-TYPES — leave 'equation' empty; automatically computed: +- 'discreteOutflow': Output from a conveyor or oven. +- 'conveyorLeakage': Leakage from a conveyor. Set additionalProperties: leakFraction (required), exponential, leakZoneStart, leakZoneEnd, leakIntegers, ignorePrevZones, forceLeakFraction. +- 'queueOutflow': Output from a queue. +- 'queueOverflow': Overflow from a full queue (requires overflow: true on the queue). + +REGULAR FLOWS entering a conveyor may set additionalProperties: +- spreadFlow: how inflow distributes along the conveyor ('none', 'even', 'destination', 'distribution', 'source'). +- distribEq: required when spreadFlow is 'distribution'. + +EQUATION RULES: +- 'queue', 'oven', 'conveyor' stocks: 'equation' is the initial value, like a regular stock. +- Flow sub-types: leave 'equation' empty. +- Settings go in 'additionalProperties', not equations. + +RELATIONSHIP REQUIREMENTS: +- Any variable referenced in an additionalProperties expression requires a relationship arrow FROM that variable TO the element. +- Use XMILE syntax with underscores (e.g. 'service_time' not 'service time'). CONVEYOR DESIGN RULES: @@ -77,22 +79,17 @@ When to use conveyor vs. stock: - Use a conveyor when entities must spend a minimum or fixed duration in a stage (pipeline delay, aging, disease duration). The conveyor transit time encodes the dwell time. - Use a plain stock when residence time is exponentially distributed (first-order delay) or when there is no minimum dwell requirement. -Leakage vs. outflow — critical distinction: -- 'conveyorLeakage' removes entities before they complete the full transit time (early exit: disease progression, dropout, death-in-stage). -- 'discreteOutflow' represents entities that completed the full transit (graduation, recovery-after-full-duration). -- NEVER split the conveyor outflow via auxiliary arithmetic (e.g. mild_outflow * fraction_progressing) to route into different next stages — that only applies the split at the moment of exit, not continuously during dwell. +Leakage vs. outflow: +- 'conveyorLeakage': entities exit before completing transit (early exit). Configure via additionalProperties.leakFraction on the leakage flow. +- 'discreteOutflow': entities that completed the full transit. +- NEVER split the conveyor outflow via auxiliary arithmetic to route into different stages. Wiring leakages: -- A leakage flow must be typed as 'conveyorLeakage', NOT as variable or auxiliary — only a flow type is recognized as an inflow by the solver. -- Every leakage flow must appear in the outflows list of its source conveyor AND in the inflows list of its destination stock/conveyor. - -Leakage rate formula: -- leakage_rate = conveyor_stock * fractional_leakage_rate, where fractional_leakage_rate has units 1/time. +- Every conveyorLeakage flow must appear in the outflows list of its source conveyor AND in the inflows list of its destination. Mass conservation check: - Sum of all population stocks at t=0 must equal sum at all t (unless the model has explicit external births/deaths). -- Every leakage flow is typed 'conveyorLeakage' (not variable/auxiliary). -- The conveyor's natural outflow (discreteOutflow) is wired to exactly one destination — do not split it.` +- The conveyor's discreteOutflow is wired to exactly one destination — do not split it.` static ARRAY_REQUIREMENTS_SECTION = `CRITICAL ARRAY REQUIREMENTS: diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index da005ea3..d2ffa605 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -238,38 +238,33 @@ export class LLMWrapper { "parentModule": "The name of the module that contains this module. If this module is at the top level (not nested within another module), this should be an empty string. If nested, this should be the simple name (not module-qualified) of the parent module.", "modules": "A list of module definitions that exist within this model. Each module represents a logical grouping or subsystem within the model hierarchy. Modules can contain variables and can be nested within other modules to create hierarchical model structures.", - "subType": "The sub-type of this stock or flow. Only set when the variable is a discrete-event processing element. Stock sub-types: 'queue' (a waiting line that holds items until they can be processed), 'oven' (a batch processor where items are held for a fixed cook time then released together), 'conveyor' (a pipeline delay where items travel a fixed transit time before exiting). Flow sub-types — these are automatically managed flows you name but do NOT write equations for: 'discreteOutflow' (output from a conveyor or oven), 'conveyorLeakage' (leakage from a conveyor), 'queueOutflow' (output from a queue), 'queueOverflow' (overflow when a queue is full). Omit this field for all regular stocks, flows, and variables.", + "subType": "The sub-type of this stock or flow. Only set when the variable is a discrete-event processing element. Stock sub-types: 'queue' (a waiting line that holds items until they can be processed), 'oven' (a batch processor where items are held for a fixed cook time then released together), 'conveyor' (a pipeline delay where items travel a fixed transit time before exiting). Flow sub-types — these are automatically managed flows you name but do NOT write equations for: 'discreteOutflow' (output from a conveyor or oven), 'conveyorLeakage' (leakage from a conveyor — set additionalProperties to configure leakage behavior), 'queueOutflow' (output from a queue), 'queueOverflow' (overflow when a queue is full). Omit this field for all regular stocks, flows, and variables.", - "additionalProperties": "Sub-type-specific configuration for queue, oven, and conveyor stocks. Only include this object when subType is 'queue', 'oven', or 'conveyor'. Omit entirely for all other variable types including flow sub-types.", + "additionalProperties": "Sub-type-specific configuration for queue, oven, conveyor, conveyorLeakage, and any regular flow that uses spreadFlow. Include this object when subType is 'queue', 'oven', 'conveyor', or 'conveyorLeakage', or when the variable is a regular flow that sets spreadFlow. Omit entirely for all other variable types.", "processTime": "CONVEYOR/OVEN: Equation string for the transit time (conveyor) or cook time (oven) — how long items spend inside. Required for conveyor and oven sub-types.", "capacity": "CONVEYOR/OVEN: Equation string for the maximum number of items the element can hold. Leave empty for unlimited capacity.", "inflowLimit": "CONVEYOR/OVEN: Equation string for the maximum inflow rate per time step. Leave empty for no inflow limit.", - "fillTime": "CONVEYOR/OVEN: Equation string for the time required to fill the element before it begins processing. Leave empty to use the default.", - "cleanTime": "CONVEYOR/OVEN: Equation string for the clean-up time after the element empties before it can accept new items. Leave empty if no clean time is needed.", - "leakFraction": "CONVEYOR/OVEN: Equation string for the fraction of contents that leak out per time step. Leave empty for no leakage.", - "exponential": "CONVEYOR/OVEN: If true, leakage is exponential (a constant fraction of remaining contents leaks each step). If false (default), leakage is linear (a fixed absolute amount).", - "leakZoneStart": "CONVEYOR/OVEN: Equation string for the starting position (as a percentage 0–100) along the conveyor or oven where leakage begins. Leave empty to apply leakage across the entire length.", - "leakZoneEnd": "CONVEYOR/OVEN: Equation string for the ending position (as a percentage 0–100) along the conveyor or oven where leakage ends. Leave empty to apply leakage across the entire length.", - "leakIntegers": "CONVEYOR/OVEN: If true, leakage amounts are rounded to whole integers.", + "fillTime": "OVEN only: Equation string for the time required to fill the element before it begins processing. Leave empty to use the default.", + "cleanTime": "OVEN only: Equation string for the clean-up time after the element empties before it can accept new items. Leave empty if no clean time is needed.", + "leakFraction": "CONVEYOR LEAKAGE: Equation string for the fraction of conveyor contents that leak out per time step. Leave empty for no leakage.", + "exponential": "CONVEYOR LEAKAGE: If true, leakage is exponential (a constant fraction of remaining contents leaks each step). If false (default), leakage is linear (a fixed absolute amount).", + "leakZoneStart": "CONVEYOR LEAKAGE: Equation string for the starting position (as a percentage 0–100) along the conveyor where leakage begins. Leave empty to apply leakage across the entire length.", + "leakZoneEnd": "CONVEYOR LEAKAGE: Equation string for the ending position (as a percentage 0–100) along the conveyor where leakage ends. Leave empty to apply leakage across the entire length.", + "leakIntegers": "CONVEYOR LEAKAGE: If true, leakage amounts are rounded to whole integers.", "sample": "CONVEYOR/OVEN: Equation string — re-samples the transit or cook time when this expression evaluates to non-zero.", "arrest": "CONVEYOR/OVEN: Equation string — halts movement through the conveyor or oven when this expression evaluates to non-zero.", - "spreadFlow": "CONVEYOR only: Controls how inflows are distributed across the conveyor's length. 'none' (default): all inflow enters at the front. 'even': spread evenly across all positions. 'destination': spread proportional to existing content volume at each position. 'distribution': spread according to a user-defined distribution table (requires distribEq). 'source': spread based on the source's material profile.", - "distribEq": "CONVEYOR only: Equation string specifying the distribution table used when spreadFlow is 'distribution'. Leave empty when spreadFlow is not 'distribution'.", - "ignorePrevZones": "CONVEYOR only: If true, each leak zone operates independently without accounting for losses from earlier zones in the same conveyor.", - "forceLeakFraction": "CONVEYOR only: If true, the same leak fraction is applied regardless of how long items have been in transit.", + "spreadFlow": "Controls how inflows are distributed when they enter a CONVEYOR. 'none' (default): all inflow enters at the front. 'even': spread evenly across all positions. 'destination': spread proportional to existing content volume at each position. 'distribution': spread according to a user-defined distribution table (requires distribEq). 'source': spread based on the source's material profile.", + "distribEq": "Required when spreadFlow is 'distribution': Equation string specifying the distribution table. Leave empty when spreadFlow is not 'distribution'.", + "ignorePrevZones": "CONVEYOR LEAKAGE: If true, each leak zone operates independently without accounting for losses from earlier zones in the same conveyor.", + "forceLeakFraction": "CONVEYOR LEAKAGE: If true, the same leak fraction is applied regardless of how long items have been in transit.", "fifoEnabled": "QUEUE only: If true, the queue dispatches items in FIFO (first-in, first-out) order. If false (default), items are dispatched in LIFO (last-in, first-out) order.", "oneAtATime": "QUEUE only: If true, the queue accepts only one batch of items per time step.", "splitBatches": "QUEUE only: If true, incoming batches may be split when entering the queue (partial batches are allowed).", "discrete": "QUEUE only: If true, the queue operates in discrete mode (integer item quantities only). If false (default), the queue operates continuously.", - "timeStamped": "QUEUE only: If true, each item entering the queue carries a time-stamp recording when it arrived.", - "attribEq": "QUEUE only: Equation string for the attribute value assigned to each item as it enters the queue. Leave empty if items carry no attribute.", - "timeStampEq": "QUEUE only: Equation string for the time-stamp value assigned to each item as it enters. Leave empty to use the default arrival time.", - "prioritizeAttrib": "QUEUE only: If true, inflows are prioritized based on their attribute values when entering the queue.", "roundRobin": "QUEUE only: If true, the queue uses round-robin selection when dispatching items to competing outflows.", "queueOutflowPriority": "QUEUE only: Equation string setting the dispatch priority for the queue outflow. Leave empty to use the default priority.", "purgeEq": "QUEUE only: Equation string specifying a maximum age (in time units) — items older than this value are automatically removed from the queue.", - "attribFilter": "QUEUE only: Equation string — only items whose attribute value matches this expression are eligible to exit the queue.", "overflow": "QUEUE only: If true, an automatic queue overflow flow is created to handle items that cannot enter because the queue is full." }; From b4a1c2eec74b48802bb14e123e77e2054ea39434 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 14 May 2026 19:42:45 -0400 Subject: [PATCH 194/226] cleaned up leak fraction prompts --- engines/quantitative/QuantitativeEngineBrain.js | 2 +- utilities/LLMWrapper.js | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index d5871fd2..17bfb5a3 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -56,7 +56,7 @@ STOCK SUB-TYPES — set 'subType' and include 'additionalProperties': FLOW SUB-TYPES — leave 'equation' empty; automatically computed: - 'discreteOutflow': Output from a conveyor or oven. -- 'conveyorLeakage': Leakage from a conveyor. Set additionalProperties: leakFraction (required), exponential, leakZoneStart, leakZoneEnd, leakIntegers, ignorePrevZones, forceLeakFraction. +- 'conveyorLeakage': Leakage from a conveyor. Set additionalProperties: leakFraction (required, units of 1/time_unit when exponential, dimensionless otherwise), exponential (default true), leakZoneStart, leakZoneEnd, leakIntegers, ignorePrevZones, forceLeakFraction. - 'queueOutflow': Output from a queue. - 'queueOverflow': Overflow from a full queue (requires overflow: true on the queue). diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index d2ffa605..701c4991 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -247,8 +247,8 @@ export class LLMWrapper { "inflowLimit": "CONVEYOR/OVEN: Equation string for the maximum inflow rate per time step. Leave empty for no inflow limit.", "fillTime": "OVEN only: Equation string for the time required to fill the element before it begins processing. Leave empty to use the default.", "cleanTime": "OVEN only: Equation string for the clean-up time after the element empties before it can accept new items. Leave empty if no clean time is needed.", - "leakFraction": "CONVEYOR LEAKAGE: Equation string for the fraction of conveyor contents that leak out per time step. Leave empty for no leakage.", - "exponential": "CONVEYOR LEAKAGE: If true, leakage is exponential (a constant fraction of remaining contents leaks each step). If false (default), leakage is linear (a fixed absolute amount).", + "leakFraction": "CONVEYOR LEAKAGE: Equation string for the leak fraction. When exponential (default), this is a rate in units of 1/time_unit (e.g. 0.1 means 10% per time unit). When not exponential, this is a dimensionless fraction of contents that leaks per time step. Leave empty for no leakage.", + "exponential": "CONVEYOR LEAKAGE: If true (STRONG default), leakage is exponential (a constant fraction of remaining contents leaks each step, leak fraction in 1/time_unit). If false, leakage is linear (a fixed absolute amount, leak fraction is dimensionless).", "leakZoneStart": "CONVEYOR LEAKAGE: Equation string for the starting position (as a percentage 0–100) along the conveyor where leakage begins. Leave empty to apply leakage across the entire length.", "leakZoneEnd": "CONVEYOR LEAKAGE: Equation string for the ending position (as a percentage 0–100) along the conveyor where leakage ends. Leave empty to apply leakage across the entire length.", "leakIntegers": "CONVEYOR LEAKAGE: If true, leakage amounts are rounded to whole integers.", From fccc5d666944ed4a97885a5108a589c6ca4a22da Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 15 May 2026 13:45:56 -0400 Subject: [PATCH 195/226] give large model tools ability to do advanced sub-types --- agent/tools/builtin/largeModelTools.js | 71 +++++++++++++-- .../quantitative/QuantitativeEngineBrain.js | 2 +- tests/agent/tools/largeModelTools.test.js | 86 +++++++++++++++++++ utilities/LLMWrapper.js | 2 +- 4 files changed, 152 insertions(+), 9 deletions(-) diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 5bf4a3bb..1aea9228 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -18,7 +18,7 @@ Available sections: * All four fields (type, name, size, elements) are required for each dimension * type="numeric": elements auto-generated as ['1','2','3'...] * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] -- variables: array of variables with schema: {name, type (stock|flow|variable), equation, documentation, units, uniflow, inflows, outflows, dimensions, arrayEquations, crossLevelGhostOf, graphicalFunction} +- variables: array of variables with schema: {name, type (stock|flow|variable), equation, documentation, units, uniflow, inflows, outflows, dimensions, arrayEquations, crossLevelGhostOf, graphicalFunction, subType?, additionalProperties?} - relationships: array of relationships with schema: {from, to, polarity (+|-|""), reasoning, polarityReasoning} - modules: module hierarchy with schema: {name, parentModule}. IMPORTANT: The modules array only defines the hierarchical structure (which modules exist and their parent-child relationships). It does NOT tell you which variables belong to a module - variable membership is determined by the variable name prefix (e.g., "Finance.revenue" belongs to the Finance module). @@ -33,16 +33,27 @@ Array handling: - Each dimension requires all four fields: type, name, size, elements - Element-specific equations are in the "arrayEquations" field +Sub-type handling: +- Stock sub-types (set subType + additionalProperties): "queue" (waiting line), "oven" (batch processor), "conveyor" (pipeline delay) +- Flow sub-types (set subType only, equation = ""): "discreteOutflow" (output from conveyor/oven), "conveyorLeakage" (leakage from conveyor), "queueOutflow" (output from queue), "queueOverflow" (overflow from full queue) +- additionalProperties fields by subType: + * conveyor/oven: {processTime (required), capacity?, inflowLimit?, fillTime? (oven only), cleanTime? (oven only), sample?, arrest?} + * conveyorLeakage: {leakFraction? (units 1/time_unit when exponential, dimensionless otherwise), exponential?, leakZoneStart?, leakZoneEnd?, leakIntegers?, ignorePrevZones?, forceLeakFraction?} + * queue: {fifoEnabled?, oneAtATime?, splitBatches?, discrete?, roundRobin?, queueOutflowPriority?, purgeEq?, overflow?} + * inflow to conveyor (regular flow): {spreadFlow? ("none"|"even"|"destination"|"distribution"|"source"), distribEq? (required when spreadFlow="distribution")} + Filtering: - variableNames filter matches base names (e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost") - moduleName filter gets all variables from a specific module (by name prefix) -- usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores)`, +- usedInEquation filter finds all variables whose equations reference a given variable (case-insensitive, matches XMILE format with underscores) +- subType filter gets all variables with a specific discrete-entity sub-type (e.g., filter all queues or all conveyors)`, supportedModes: ['sfd', 'cld'], inputSchema: z.object({ section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to read'), filter: z.object({ variableNames: z.array(z.string()).optional().describe('Filter variables by base name (matches both qualified and unqualified names, e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost")'), variableType: z.enum(['stock', 'flow', 'variable']).optional().describe('Filter variables by type'), + subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow']).optional().describe('Filter variables by discrete-entity sub-type (e.g., find all conveyors or all queues)'), moduleName: z.string().optional().describe('Filter variables by module (e.g., "Module_Name" - variable names are module-qualified as Module_Name.variable_name)'), usedInEquation: z.string().optional().describe('Find variables whose equations reference this variable (case-insensitive). Searches in both equation and arrayEquations fields.'), relationshipFrom: z.string().optional().describe('Filter relationships by source variable'), @@ -86,6 +97,9 @@ Filtering: if (filter?.variableType) { variables = variables.filter(v => v.type === filter.variableType); } + if (filter?.subType) { + variables = variables.filter(v => v.subType === filter.subType); + } if (filter?.moduleName) { const normModule = norm(filter.moduleName); variables = variables.filter(v => norm(v.name).startsWith(normModule + '.')); @@ -182,11 +196,22 @@ You can edit: * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] * When updating arrayDimensions, provide the COMPLETE array with all dimensions (it replaces the entire array) - variables: Add, update, or remove specific variables. - * Variable Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?} + * Variable Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?, subType?, additionalProperties?} + * subType identifies discrete-entity processing elements (a refinement of type — top-level type remains "stock" or "flow"): + - Stock sub-types (require additionalProperties): "queue", "oven", "conveyor" + - Flow sub-types (set subType only; leave equation as ""): "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow" + * additionalProperties holds sub-type-specific configuration (all values are equation strings unless noted): + - conveyor / oven: {processTime (required), capacity?, inflowLimit?, fillTime? (oven only), cleanTime? (oven only), sample?, arrest?} + - conveyorLeakage: {leakFraction? (units 1/time_unit when exponential, dimensionless otherwise), exponential? (boolean, default true — almost always use exponential; only false when explicitly requested), leakZoneStart?, leakZoneEnd?, leakIntegers? (boolean), ignorePrevZones? (boolean), forceLeakFraction? (boolean)} + - queue: {fifoEnabled? (boolean), oneAtATime? (boolean), splitBatches? (boolean), discrete? (boolean), roundRobin? (boolean), queueOutflowPriority?, purgeEq?, overflow? (boolean)} + - inflow to a conveyor (regular flow): {spreadFlow? ("none"|"even"|"destination"|"distribution"|"source"), distribEq? (required when spreadFlow="distribution")} * For ADD operation: Array of variable objects Example: [{name: "Population", type: "stock", equation: "1000"}, {name: "births", type: "flow", equation: "Population*0.1"}] - * For UPDATE operation: Array of variable objects, each with name field (required) and fields to update + Discrete example: [{name: "work queue", type: "stock", subType: "queue", additionalProperties: {fifoEnabled: true}}, {name: "work outflow", type: "flow", subType: "queueOutflow", equation: ""}] + * For UPDATE operation: Array of variable objects, each with name field (required) and fields to update. + To update additionalProperties, provide the complete additionalProperties object (it replaces the existing one). Example: [{name: "Population", equation: "2000"}, {name: "births", type: "flow", equation: "Population*0.1"}] + Discrete example: [{name: "work queue", additionalProperties: {fifoEnabled: true, overflow: true}}] * For REMOVE operation: Array of variable name strings Example: ["Population", "births", "deaths"] - relationships: Add, update, or remove relationships. @@ -210,7 +235,7 @@ You can edit: VARIABLE RENAMING: - To rename a variable, use update operation with {name: "OldName", newName: "NewName"} - The tool will automatically update ALL equations that reference the old variable name -- This includes equations in ALL variables across ALL modules +- This includes equations in ALL variables across ALL modules, arrayEquations, and equation-valued additionalProperties fields (processTime, capacity, leakFraction, purgeEq, etc.) - References are updated case-insensitively using XMILE format (with underscores) CRITICAL MODULE RULES: @@ -238,6 +263,26 @@ CRITICAL ARRAY RULES: * CORRECT: SUM(Revenue[*]) * CRITICAL: Every SUM equation MUST contain at least one asterisk (*) +CRITICAL SUBTYPE RULES: +- Use sub-types ONLY when the model already has discrete-entity semantics or the user explicitly requests them — they add significant complexity +- Stock sub-types: set 'subType' AND 'additionalProperties'; 'equation' is still the initial value (like a regular stock) + * 'queue': additionalProperties: {fifoEnabled?, oneAtATime?, splitBatches?, discrete?, roundRobin?, queueOutflowPriority?, purgeEq?, overflow?} + * 'oven': additionalProperties: {processTime (required), capacity?, inflowLimit?, fillTime?, cleanTime?, sample?, arrest?} + * 'conveyor': additionalProperties: {processTime (required), capacity?, inflowLimit?, sample?, arrest?} +- Flow sub-types: set 'subType' only; leave 'equation' as "" (automatically computed, do NOT write an equation) + * 'discreteOutflow': the output flow from a conveyor or oven (entities that completed full transit) + * 'conveyorLeakage': early-exit flow from a conveyor. additionalProperties: {leakFraction (required, units 1/time_unit when exponential; dimensionless otherwise), exponential? (default true — almost always use exponential; only set false when explicitly requested), leakZoneStart?, leakZoneEnd?, leakIntegers?, ignorePrevZones?, forceLeakFraction?} + * 'queueOutflow': the output flow from a queue + * 'queueOverflow': overflow from a full queue — requires overflow: true on the queue's additionalProperties +- Regular flows entering a conveyor may set additionalProperties: {spreadFlow? ('none'|'even'|'destination'|'distribution'|'source'), distribEq? (required when spreadFlow='distribution')} +- SETTINGS go in 'additionalProperties', NEVER embed them in equations +- RELATIONSHIPS: every variable referenced in an additionalProperties expression REQUIRES a relationship arrow FROM that variable TO the element +- CONVEYOR WIRING: + * Every conveyorLeakage flow MUST appear in the outflows of its source conveyor AND in the inflows of its destination + * NEVER split a conveyor outflow using auxiliary arithmetic — route directly to one destination + * Use conveyor (not plain stock) when entities must spend a minimum/fixed duration in a stage + * Use plain stock when residence time is exponentially distributed (first-order delay) + After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, supportedModes: ['sfd', 'cld'], minModelTokens: config.agentTargetedEditingMinimum, @@ -271,7 +316,9 @@ After editing, the model is validated and processed through the quantitative eng dimensions: z.array(z.string()).optional(), arrayEquations: z.array(z.any()).optional(), crossLevelGhostOf: z.string().optional(), - graphicalFunction: z.any().optional() + graphicalFunction: z.any().optional(), + subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow']).optional(), + additionalProperties: z.object({}).loose().optional() })), // For variables update - array of variable objects with name (required), type optional z.array(z.object({ @@ -287,7 +334,9 @@ After editing, the model is validated and processed through the quantitative eng dimensions: z.array(z.string()).optional(), arrayEquations: z.array(z.any()).optional(), crossLevelGhostOf: z.string().optional(), - graphicalFunction: z.any().optional() + graphicalFunction: z.any().optional(), + subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow']).optional(), + additionalProperties: z.object({}).loose().optional() })), // For variables remove - array of strings z.array(z.string()), @@ -442,6 +491,14 @@ After editing, the model is validated and processed through the quantitative eng } } } + + if (variable.additionalProperties && typeof variable.additionalProperties === 'object') { + for (const [key, val] of Object.entries(variable.additionalProperties)) { + if (typeof val === 'string' && varRegex.test(val)) { + variable.additionalProperties[key] = val.replace(varRegex, newNameXMILE); + } + } + } } update.name = newName; diff --git a/engines/quantitative/QuantitativeEngineBrain.js b/engines/quantitative/QuantitativeEngineBrain.js index 17bfb5a3..e41d253d 100644 --- a/engines/quantitative/QuantitativeEngineBrain.js +++ b/engines/quantitative/QuantitativeEngineBrain.js @@ -56,7 +56,7 @@ STOCK SUB-TYPES — set 'subType' and include 'additionalProperties': FLOW SUB-TYPES — leave 'equation' empty; automatically computed: - 'discreteOutflow': Output from a conveyor or oven. -- 'conveyorLeakage': Leakage from a conveyor. Set additionalProperties: leakFraction (required, units of 1/time_unit when exponential, dimensionless otherwise), exponential (default true), leakZoneStart, leakZoneEnd, leakIntegers, ignorePrevZones, forceLeakFraction. +- 'conveyorLeakage': Leakage from a conveyor. Set additionalProperties: leakFraction (required, units of 1/time_unit when exponential, dimensionless otherwise), exponential (default true — almost always use exponential; linear only when explicitly requested), leakZoneStart, leakZoneEnd, leakIntegers, ignorePrevZones, forceLeakFraction. - 'queueOutflow': Output from a queue. - 'queueOverflow': Overflow from a full queue (requires overflow: true on the queue). diff --git a/tests/agent/tools/largeModelTools.test.js b/tests/agent/tools/largeModelTools.test.js index d5ba97bf..96fef491 100644 --- a/tests/agent/tools/largeModelTools.test.js +++ b/tests/agent/tools/largeModelTools.test.js @@ -209,6 +209,51 @@ describe('createReadModelSectionTool normalization', () => { expect(modules[0].name).toBe('My Module'); }); }); + + describe('subType filter', () => { + it('returns only variables matching the given subType', async () => { + const dir = makeTempDir({ + ...BASE_MODEL, + variables: [ + { name: 'work queue', type: 'stock', subType: 'queue', additionalProperties: { fifoEnabled: true } }, + { name: 'pipeline', type: 'stock', subType: 'conveyor', additionalProperties: { processTime: '5' } }, + { name: 'regular stock', type: 'stock', equation: '0' }, + ], + }); + const tool = makeReadTool(dir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { subType: 'queue' } }) + ); + expect(variables).toHaveLength(1); + expect(variables[0].name).toBe('work_queue'); + rmSync(dir, { recursive: true, force: true }); + }); + + it('returns empty array when no variables match the subType', async () => { + const tool = makeReadTool(tempDir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { subType: 'oven' } }) + ); + expect(variables).toHaveLength(0); + }); + + it('can be combined with moduleName filter', async () => { + const dir = makeTempDir({ + ...BASE_MODEL, + variables: [ + { name: 'Ops.work queue', type: 'stock', subType: 'queue', additionalProperties: {} }, + { name: 'Finance.budget queue', type: 'stock', subType: 'queue', additionalProperties: {} }, + ], + }); + const tool = makeReadTool(dir); + const { variables } = parseResult( + await tool.handler({ section: 'variables', filter: { subType: 'queue', moduleName: 'Ops' } }) + ); + expect(variables).toHaveLength(1); + expect(variables[0].name).toBe('Ops.work_queue'); + rmSync(dir, { recursive: true, force: true }); + }); + }); }); // ─── createEditModelSectionTool ─────────────────────────────────────────────── @@ -331,6 +376,47 @@ describe('createEditModelSectionTool normalization', () => { expect(getModel().variables[0].name).toBe('birth fraction'); }); + + it('updates equation-valued additionalProperties fields on rename', async () => { + resetModel({ + variables: [ + { name: 'process time', type: 'variable', equation: '10' }, + { name: 'pipeline', type: 'stock', subType: 'conveyor', additionalProperties: { processTime: 'process_time', capacity: '100' } }, + ], + relationships: [], + modules: [], + }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'update', data: [ + { name: 'process_time', newName: 'transit_time' } + ]}); + + const conveyor = getModel().variables.find(v => v.name === 'pipeline'); + expect(conveyor.additionalProperties.processTime).toBe('transit_time'); + }); + + it('leaves boolean additionalProperties fields untouched on rename', async () => { + resetModel({ + variables: [ + { name: 'flag', type: 'variable', equation: '1' }, + { name: 'work queue', type: 'stock', subType: 'queue', additionalProperties: { fifoEnabled: true, overflow: false } }, + ], + relationships: [], + modules: [], + }); + const { sendToClient, getModel } = makeSendToClient(); + const tool = makeEditTool(sendToClient); + + await tool.handler({ section: 'variables', operation: 'update', data: [ + { name: 'flag', newName: 'signal' } + ]}); + + const queue = getModel().variables.find(v => v.name === 'work queue'); + expect(queue.additionalProperties.fifoEnabled).toBe(true); + expect(queue.additionalProperties.overflow).toBe(false); + }); }); describe('variables remove', () => { diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 701c4991..9640fba2 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -248,7 +248,7 @@ export class LLMWrapper { "fillTime": "OVEN only: Equation string for the time required to fill the element before it begins processing. Leave empty to use the default.", "cleanTime": "OVEN only: Equation string for the clean-up time after the element empties before it can accept new items. Leave empty if no clean time is needed.", "leakFraction": "CONVEYOR LEAKAGE: Equation string for the leak fraction. When exponential (default), this is a rate in units of 1/time_unit (e.g. 0.1 means 10% per time unit). When not exponential, this is a dimensionless fraction of contents that leaks per time step. Leave empty for no leakage.", - "exponential": "CONVEYOR LEAKAGE: If true (STRONG default), leakage is exponential (a constant fraction of remaining contents leaks each step, leak fraction in 1/time_unit). If false, leakage is linear (a fixed absolute amount, leak fraction is dimensionless).", + "exponential": "CONVEYOR LEAKAGE: If true (STRONG default — almost always use exponential), leakage is exponential (a constant fraction of remaining contents leaks each step, leak fraction in 1/time_unit). If false, leakage is linear (a fixed absolute amount, leak fraction is dimensionless). Only set false when the user explicitly requests linear leakage.", "leakZoneStart": "CONVEYOR LEAKAGE: Equation string for the starting position (as a percentage 0–100) along the conveyor where leakage begins. Leave empty to apply leakage across the entire length.", "leakZoneEnd": "CONVEYOR LEAKAGE: Equation string for the ending position (as a percentage 0–100) along the conveyor where leakage ends. Leave empty to apply leakage across the entire length.", "leakIntegers": "CONVEYOR LEAKAGE: If true, leakage amounts are rounded to whole integers.", From a52ed39c59ee6563faac9c0af95b28fea005f5a8 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 15 May 2026 14:32:31 -0400 Subject: [PATCH 196/226] remove useless warning --- agent/AgentOrchestrator.js | 2 -- 1 file changed, 2 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index d2d05c18..269e8516 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -568,8 +568,6 @@ export class AgentOrchestrator { )); } else if (message.subtype === 'api_retry') { logger.log(`Anthropic SDK: API retry attempt ${message.attempt}/${message.max_retries} for session ${this.sessionId} (status: ${message.error_status}, delay: ${Math.round(message.retry_delay_ms / 1000)}s)`); - } else { - logger.warn(`Anthropic SDK Unhandled system message subtype: ${message.subtype}`, message); } break; From 00bd387894dcc9eb28ca5d295e1bc1eafe1312ff Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Fri, 15 May 2026 15:00:09 -0400 Subject: [PATCH 197/226] fix error message for large model tools --- agent/tools/builtin/largeModelTools.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 1aea9228..9e06cca8 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -390,7 +390,7 @@ After editing, the model is validated and processed through the quantitative eng const modelPath = join(sessionTempDir, 'model.sdjson'); if (!existsSync(modelPath)) { - return handleError('Error: Model file not found. The model may not have exceeded the token limit yet.'); + return handleError('Error: Model file not found. Call get_current_model to get it.'); } const modelContent = readFileSync(modelPath, 'utf-8'); From ada4d936fd2672419f12f17e1a44d523e4a1f7df Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 07:38:11 -0400 Subject: [PATCH 198/226] remove unused properties --- utilities/LLMWrapper.js | 4 ---- 1 file changed, 4 deletions(-) diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 9640fba2..cc895fe2 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -458,14 +458,10 @@ export class LLMWrapper { oneAtATime: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.oneAtATime).optional(), splitBatches: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.splitBatches).optional(), discrete: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.discrete).optional(), - timeStamped: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.timeStamped).optional(), attribEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.attribEq).optional(), - timeStampEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.timeStampEq).optional(), - prioritizeAttrib: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.prioritizeAttrib).optional(), roundRobin: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.roundRobin).optional(), queueOutflowPriority: z.string().describe(LLMWrapper.SCHEMA_STRINGS.queueOutflowPriority).optional(), purgeEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.purgeEq).optional(), - attribFilter: z.string().describe(LLMWrapper.SCHEMA_STRINGS.attribFilter).optional(), overflow: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.overflow).optional() }).describe(LLMWrapper.SCHEMA_STRINGS.additionalProperties); From aee69a0c58884920c82ab36d8456e0561adf254f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 07:43:16 -0400 Subject: [PATCH 199/226] remove another unused property --- utilities/LLMWrapper.js | 1 - 1 file changed, 1 deletion(-) diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index cc895fe2..54b0d8ec 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -458,7 +458,6 @@ export class LLMWrapper { oneAtATime: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.oneAtATime).optional(), splitBatches: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.splitBatches).optional(), discrete: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.discrete).optional(), - attribEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.attribEq).optional(), roundRobin: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.roundRobin).optional(), queueOutflowPriority: z.string().describe(LLMWrapper.SCHEMA_STRINGS.queueOutflowPriority).optional(), purgeEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.purgeEq).optional(), From a742c2d6a85d5b763526ced8ae5ec6866502f899 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 09:55:50 -0400 Subject: [PATCH 200/226] edit model section now uses exactly the same schema as LLMWrapper so types are always right! --- agent/tools/builtin/largeModelTools.js | 77 ++-------- utilities/LLMWrapper.js | 200 +++++++++++++++---------- 2 files changed, 135 insertions(+), 142 deletions(-) diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 9e06cca8..6d9f3aa0 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -4,6 +4,11 @@ import { join } from 'path'; import { createUpdateModelMessage, UpdateModelResponseSchema } from '../../utilities/MessageProtocol.js'; import { generateRequestId, createSuccessResponse, createErrorResponse } from './toolHelpers.js'; import config from '../../../config.js'; +import { LLMWrapper } from '../../../utilities/LLMWrapper.js'; + +const variableBase = LLMWrapper.variableSchemaBase(); +const simSpecsBase = LLMWrapper.simSpecsSchemaBase(); +const relationshipBase = LLMWrapper.relationshipSchemaBase(); /** * Read a specific section of the large model file @@ -291,81 +296,27 @@ After editing, the model is validated and processed through the quantitative eng operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), data: z.union([ // For specs update - object with optional spec fields - z.object({ - startTime: z.number().optional(), - stopTime: z.number().optional(), - dt: z.number().optional(), - timeUnits: z.string().optional(), - arrayDimensions: z.array(z.object({ - type: z.enum(['numeric', 'labels']), - name: z.string(), - size: z.number().positive(), - elements: z.array(z.string()) - })).optional() - }), + z.object(simSpecsBase).partial(), // For variables add - array of variables + z.array(z.object(variableBase)), + // For variables update - array of variable objects with name (required) z.array(z.object({ - name: z.string(), - type: z.enum(['stock', 'flow', 'variable']), - equation: z.string().optional(), - documentation: z.string().optional(), - units: z.string().optional(), - uniflow: z.boolean().optional(), - inflows: z.array(z.string()).optional(), - outflows: z.array(z.string()).optional(), - dimensions: z.array(z.string()).optional(), - arrayEquations: z.array(z.any()).optional(), - crossLevelGhostOf: z.string().optional(), - graphicalFunction: z.any().optional(), - subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow']).optional(), - additionalProperties: z.object({}).loose().optional() - })), - // For variables update - array of variable objects with name (required), type optional - z.array(z.object({ - name: z.string(), - newName: z.string().optional(), - type: z.enum(['stock', 'flow', 'variable']).optional(), - equation: z.string().optional(), - documentation: z.string().optional(), - units: z.string().optional(), - uniflow: z.boolean().optional(), - inflows: z.array(z.string()).optional(), - outflows: z.array(z.string()).optional(), - dimensions: z.array(z.string()).optional(), - arrayEquations: z.array(z.any()).optional(), - crossLevelGhostOf: z.string().optional(), - graphicalFunction: z.any().optional(), - subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow']).optional(), - additionalProperties: z.object({}).loose().optional() - })), + ...variableBase, + newName: z.string().describe(LLMWrapper.SCHEMA_STRINGS.name).optional() + }).partial().required({ name: true })), // For variables remove - array of strings z.array(z.string()), // For relationships add - array of relationships - z.array(z.object({ - from: z.string(), - to: z.string(), - polarity: z.enum(['+', '-']).optional(), - reasoning: z.string().optional(), - polarityReasoning: z.string().optional() - })), + z.array(z.object(relationshipBase)), // For relationships update - single relationship object with from/to (required) - z.object({ - from: z.string(), - to: z.string(), - polarity: z.enum(['+', '-']).optional(), - reasoning: z.string().optional(), - polarityReasoning: z.string().optional() - }), + z.object(relationshipBase).partial().required({ from: true, to: true }), // For relationships remove - array of {from, to} objects z.array(z.object({ from: z.string(), to: z.string() })), // For modules add/update - array of modules - z.array(z.object({ - name: z.string(), - parentModule: z.string().nullable() - })) + z.array(LLMWrapper.moduleSchema()) ]).describe('The data for the operation. Format depends on section and operation - see description for details.') }), handler: async ({ section, operation, data }) => { diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 54b0d8ec..7313c6bf 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -378,37 +378,16 @@ export class LLMWrapper { const TypeEnum = z.enum(["stock", "flow", "variable"]).describe(LLMWrapper.SCHEMA_STRINGS.type); const PolarityEnum = z.enum(["+", "-"]).describe(LLMWrapper.SCHEMA_STRINGS.polarity); - const Dimension = z.object({ - type: z.enum(["labels", "numeric"]).describe(LLMWrapper.SCHEMA_STRINGS.dimensionType), - name: z.string().describe(LLMWrapper.SCHEMA_STRINGS.dimensionName), - size: z.number().describe(LLMWrapper.SCHEMA_STRINGS.dimensionSize), - elements: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.dimensionElements) - }).describe(LLMWrapper.SCHEMA_STRINGS.dimension); + const Dimension = LLMWrapper.dimensionSchema(); - const GFPoint = z.object({ - x: z.number().describe(LLMWrapper.SCHEMA_STRINGS.gfPointX), - y: z.number().describe(LLMWrapper.SCHEMA_STRINGS.gfPointY) - }).describe(LLMWrapper.SCHEMA_STRINGS.gfPoint); - - const GraphicalFunction = z.object({ - points: z.array(GFPoint) - }).describe(LLMWrapper.SCHEMA_STRINGS.gfEquation); + const GraphicalFunction = LLMWrapper.graphicalFunctionSchema().describe(LLMWrapper.SCHEMA_STRINGS.gfEquation); - const Relationship = z.object({ - from: z.string().describe(LLMWrapper.SCHEMA_STRINGS.from), - to: z.string().describe(LLMWrapper.SCHEMA_STRINGS.to), - polarity: PolarityEnum, - reasoning: z.string().describe(LLMWrapper.SCHEMA_STRINGS.reasoning), - polarityReasoning: z.string().describe(LLMWrapper.SCHEMA_STRINGS.polarityReasoning) - }).describe(LLMWrapper.SCHEMA_STRINGS.relationship); + const Relationship = z.object(LLMWrapper.relationshipSchemaBase()).describe(LLMWrapper.SCHEMA_STRINGS.relationship); const Relationships = z.array(Relationship).describe(LLMWrapper.SCHEMA_STRINGS.relationships); - const ArrayElementEquation = z.object({ - equation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.equation), - forElements: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.arrayEquationForElements) - }).describe(LLMWrapper.SCHEMA_STRINGS.arrayElementEquation); + const ArrayElementEquation = LLMWrapper.arrayElementEquationSchema().describe(LLMWrapper.SCHEMA_STRINGS.arrayElementEquation); const variableObj = { name: z.string().describe(LLMWrapper.SCHEMA_STRINGS.name), @@ -422,73 +401,25 @@ export class LLMWrapper { documentation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.documentation), units: z.string().describe(LLMWrapper.SCHEMA_STRINGS.units) }; - + if (supportsArrays) { variableObj.dimensions = z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.variableDimensions); variableObj.arrayEquations = z.array(ArrayElementEquation).describe(LLMWrapper.SCHEMA_STRINGS.variableArrayEquation); } if (supportsSubTypes) { - const SubTypeEnum = z.enum([ - "queue", "oven", "conveyor", - "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow" - ]).describe(LLMWrapper.SCHEMA_STRINGS.subType); - - const AdditionalProperties = z.object({ - // CONVEYOR + OVEN - processTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.processTime).optional(), - capacity: z.string().describe(LLMWrapper.SCHEMA_STRINGS.capacity).optional(), - inflowLimit: z.string().describe(LLMWrapper.SCHEMA_STRINGS.inflowLimit).optional(), - fillTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.fillTime).optional(), - cleanTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.cleanTime).optional(), - leakFraction: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakFraction).optional(), - exponential: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.exponential).optional(), - leakZoneStart: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakZoneStart).optional(), - leakZoneEnd: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakZoneEnd).optional(), - leakIntegers: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.leakIntegers).optional(), - sample: z.string().describe(LLMWrapper.SCHEMA_STRINGS.sample).optional(), - arrest: z.string().describe(LLMWrapper.SCHEMA_STRINGS.arrest).optional(), - // CONVEYOR-only - spreadFlow: z.enum(["none", "even", "destination", "distribution", "source"]).describe(LLMWrapper.SCHEMA_STRINGS.spreadFlow).optional(), - distribEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.distribEq).optional(), - ignorePrevZones: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.ignorePrevZones).optional(), - forceLeakFraction: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.forceLeakFraction).optional(), - // QUEUE - fifoEnabled: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.fifoEnabled).optional(), - oneAtATime: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.oneAtATime).optional(), - splitBatches: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.splitBatches).optional(), - discrete: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.discrete).optional(), - roundRobin: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.roundRobin).optional(), - queueOutflowPriority: z.string().describe(LLMWrapper.SCHEMA_STRINGS.queueOutflowPriority).optional(), - purgeEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.purgeEq).optional(), - overflow: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.overflow).optional() - }).describe(LLMWrapper.SCHEMA_STRINGS.additionalProperties); - - variableObj.subType = SubTypeEnum.optional(); - variableObj.additionalProperties = AdditionalProperties.optional(); + variableObj.subType = LLMWrapper.subTypeSchema().optional(); + variableObj.additionalProperties = LLMWrapper.additionalPropertiesSchema().describe(LLMWrapper.SCHEMA_STRINGS.additionalProperties).optional(); } const Variable = z.object(variableObj); const Variables = z.array(Variable).describe(LLMWrapper.SCHEMA_STRINGS.variables); - const simSpecsObj = { - startTime: z.number().describe(LLMWrapper.SCHEMA_STRINGS.startTime), - stopTime: z.number().describe(LLMWrapper.SCHEMA_STRINGS.stopTime), - dt: z.number().describe(LLMWrapper.SCHEMA_STRINGS.dt), - timeUnits: z.string().describe(LLMWrapper.SCHEMA_STRINGS.timeUnits), - integrationMethod: z.enum(["Euler", "RK4"]).describe(LLMWrapper.SCHEMA_STRINGS.integrationMethod) - }; - - if (supportsArrays) { - simSpecsObj.arrayDimensions = z.array(Dimension).describe(LLMWrapper.SCHEMA_STRINGS.arrayDimensions); - } - + const simSpecsObj = LLMWrapper.simSpecsSchemaBase(); + if (!supportsArrays) delete simSpecsObj.arrayDimensions; const SimSpecs = z.object(simSpecsObj).describe(LLMWrapper.SCHEMA_STRINGS.simSpecs); - const Module = z.object({ - name: z.string().describe(LLMWrapper.SCHEMA_STRINGS.moduleName), - parentModule: z.string().describe(LLMWrapper.SCHEMA_STRINGS.parentModule) - }); + const Module = LLMWrapper.moduleSchema(); const Model = z.object({ variables: Variables, @@ -851,6 +782,117 @@ export class LLMWrapper { return claudeMessages; } + static moduleSchema() { + return z.object({ + name: z.string().describe(LLMWrapper.SCHEMA_STRINGS.moduleName), + parentModule: z.string().describe(LLMWrapper.SCHEMA_STRINGS.parentModule) + }); + } + + static relationshipSchemaBase() { + return { + from: z.string().describe(LLMWrapper.SCHEMA_STRINGS.from), + to: z.string().describe(LLMWrapper.SCHEMA_STRINGS.to), + polarity: z.enum(["+", "-"]).describe(LLMWrapper.SCHEMA_STRINGS.polarity), + reasoning: z.string().describe(LLMWrapper.SCHEMA_STRINGS.reasoning), + polarityReasoning: z.string().describe(LLMWrapper.SCHEMA_STRINGS.polarityReasoning) + }; + } + + static dimensionSchema() { + return z.object({ + type: z.enum(["labels", "numeric"]).describe(LLMWrapper.SCHEMA_STRINGS.dimensionType), + name: z.string().describe(LLMWrapper.SCHEMA_STRINGS.dimensionName), + size: z.number().describe(LLMWrapper.SCHEMA_STRINGS.dimensionSize), + elements: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.dimensionElements) + }).describe(LLMWrapper.SCHEMA_STRINGS.dimension); + } + + static simSpecsSchemaBase() { + return { + startTime: z.number().describe(LLMWrapper.SCHEMA_STRINGS.startTime), + stopTime: z.number().describe(LLMWrapper.SCHEMA_STRINGS.stopTime), + dt: z.number().describe(LLMWrapper.SCHEMA_STRINGS.dt), + timeUnits: z.string().describe(LLMWrapper.SCHEMA_STRINGS.timeUnits), + integrationMethod: z.enum(["Euler", "RK4"]).describe(LLMWrapper.SCHEMA_STRINGS.integrationMethod), + arrayDimensions: z.array(LLMWrapper.dimensionSchema()).describe(LLMWrapper.SCHEMA_STRINGS.arrayDimensions) + }; + } + + static graphicalFunctionSchema() { + return z.object({ + points: z.array(z.object({ + x: z.number().describe(LLMWrapper.SCHEMA_STRINGS.gfPointX), + y: z.number().describe(LLMWrapper.SCHEMA_STRINGS.gfPointY) + }).describe(LLMWrapper.SCHEMA_STRINGS.gfPoint)) + }); + } + + static arrayElementEquationSchema() { + return z.object({ + equation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.equation), + forElements: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.arrayEquationForElements) + }); + } + + static subTypeSchema() { + return z.enum([ + "queue", "oven", "conveyor", + "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow" + ]).describe(LLMWrapper.SCHEMA_STRINGS.subType); + } + + static additionalPropertiesSchema() { + return z.object({ + // CONVEYOR + OVEN + processTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.processTime).optional(), + capacity: z.string().describe(LLMWrapper.SCHEMA_STRINGS.capacity).optional(), + inflowLimit: z.string().describe(LLMWrapper.SCHEMA_STRINGS.inflowLimit).optional(), + fillTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.fillTime).optional(), + cleanTime: z.string().describe(LLMWrapper.SCHEMA_STRINGS.cleanTime).optional(), + leakFraction: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakFraction).optional(), + exponential: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.exponential).optional(), + leakZoneStart: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakZoneStart).optional(), + leakZoneEnd: z.string().describe(LLMWrapper.SCHEMA_STRINGS.leakZoneEnd).optional(), + leakIntegers: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.leakIntegers).optional(), + sample: z.string().describe(LLMWrapper.SCHEMA_STRINGS.sample).optional(), + arrest: z.string().describe(LLMWrapper.SCHEMA_STRINGS.arrest).optional(), + // CONVEYOR-only + spreadFlow: z.enum(["none", "even", "destination", "distribution", "source"]).describe(LLMWrapper.SCHEMA_STRINGS.spreadFlow).optional(), + distribEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.distribEq).optional(), + ignorePrevZones: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.ignorePrevZones).optional(), + forceLeakFraction: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.forceLeakFraction).optional(), + // QUEUE + fifoEnabled: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.fifoEnabled).optional(), + oneAtATime: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.oneAtATime).optional(), + splitBatches: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.splitBatches).optional(), + discrete: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.discrete).optional(), + roundRobin: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.roundRobin).optional(), + queueOutflowPriority: z.string().describe(LLMWrapper.SCHEMA_STRINGS.queueOutflowPriority).optional(), + purgeEq: z.string().describe(LLMWrapper.SCHEMA_STRINGS.purgeEq).optional(), + overflow: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.overflow).optional() + }); + } + + static variableSchemaBase() { + return { + name: z.string().describe(LLMWrapper.SCHEMA_STRINGS.name), + type: z.enum(["stock", "flow", "variable"]).describe(LLMWrapper.SCHEMA_STRINGS.type), + equation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.equation).optional(), + documentation: z.string().describe(LLMWrapper.SCHEMA_STRINGS.documentation).optional(), + units: z.string().describe(LLMWrapper.SCHEMA_STRINGS.units).optional(), + uniflow: z.boolean().describe(LLMWrapper.SCHEMA_STRINGS.uniflow).optional(), + inflows: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.inflows).optional(), + outflows: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.outflows).optional(), + dimensions: z.array(z.string()).describe(LLMWrapper.SCHEMA_STRINGS.variableDimensions).optional(), + arrayEquations: z.array(LLMWrapper.arrayElementEquationSchema()).describe(LLMWrapper.SCHEMA_STRINGS.variableArrayEquation).optional(), + crossLevelGhostOf: z.string().describe(LLMWrapper.SCHEMA_STRINGS.crossLevelGhostOf).optional(), + graphicalFunction: LLMWrapper.graphicalFunctionSchema().describe(LLMWrapper.SCHEMA_STRINGS.gfEquation).optional(), + subType: LLMWrapper.subTypeSchema().optional(), + additionalProperties: LLMWrapper.additionalPropertiesSchema().describe(LLMWrapper.SCHEMA_STRINGS.additionalProperties).optional() + }; + } + static additionalParameters(defaultModel) { return [{ name: "clientId", From c60a844c84aad1c3229921c4d8f1d0a89e074281 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 10:19:47 -0400 Subject: [PATCH 201/226] filter duplicates token logging using a WeakSet --- utilities/TokenUsageReporter.js | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index d54b5733..bb2af168 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -14,6 +14,10 @@ export const ProviderDisplayNames = Object.freeze({ }); class TokenUsageReporter { + // Guards against reporting the same usage object twice (e.g. when a provider + // reuses the same object across multiple events for one API call). + #reported = new WeakSet(); + /** * @param {string|null} url - Optional URL to POST token usage to. If null, reporting is disabled. * @param {string|null} clientId - The clientId from the InitializeSessionMessage. @@ -33,6 +37,11 @@ class TokenUsageReporter { */ async report({ provider, model, usage }) { if (!usage) return; + if (this.#reported.has(usage)) { + debugger; + return; + } + this.#reported.add(usage); const isAnthropic = provider === Provider.ANTHROPIC; const isOpenAI = provider === Provider.OPENAI; From 507ee6d33276099558c4afcdf0a9c16861db6f5b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 10:50:48 -0400 Subject: [PATCH 202/226] log potential duplicates --- utilities/TokenUsageReporter.js | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index bb2af168..acc4f660 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -37,11 +37,8 @@ class TokenUsageReporter { */ async report({ provider, model, usage }) { if (!usage) return; - if (this.#reported.has(usage)) { - debugger; - return; - } - this.#reported.add(usage); + const isDuplicate = this.#reported.has(usage); + if (!isDuplicate) this.#reported.add(usage); const isAnthropic = provider === Provider.ANTHROPIC; const isOpenAI = provider === Provider.OPENAI; @@ -77,10 +74,12 @@ class TokenUsageReporter { const costs = this.#calculateCost(provider, model, tokens); const fmt = (n, cost) => cost != null ? `${n}($${cost.toFixed(6)})` : `${n}`; + const dupTag = isDuplicate ? ' [duplicate?]' : ''; const clientTag = this.clientId ? ` client=${this.clientId}` : ''; if (isAnthropic) { logger.log( `[usage:${provider}]` + + dupTag + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + @@ -92,6 +91,7 @@ class TokenUsageReporter { } else if (isOpenAI) { logger.log( `[usage:${provider}]` + + dupTag + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + @@ -102,6 +102,7 @@ class TokenUsageReporter { } else { logger.log( `[usage:${provider}]` + + dupTag + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + @@ -120,6 +121,7 @@ class TokenUsageReporter { tokens, cost: costs?.total ?? null, timestamp: new Date().toISOString(), + ...(isDuplicate && { potentialDuplicate: true }), }; try { From 49ff32967cb338a697a6cb1250796ad83e35b72f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 16:56:21 -0400 Subject: [PATCH 203/226] log session tmp dir filesystem issues --- agent/utilities/SessionManager.js | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index b6e8677a..02a69ba6 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -258,11 +258,13 @@ export class SessionManager { try { mkdirSync(sessionTempDir, { recursive: true }); } catch (err) { + logger.error(`[${sessionId}] Write Model to Disk... failed to create session temp directory '${sessionTempDir}':`, err); throw new Error(`Failed to create session temp directory '${sessionTempDir}': ${err.message}`); } try { writeFileSync(modelPath, JSON.stringify(model, null, 2)); } catch (err) { + logger.error(`[${sessionId}] Failed to write model to '${modelPath}':`, err); throw new Error(`Failed to write model to '${modelPath}': ${err.message}`); } const message = `The model has been written to disk at: ${modelPath}. Other tools will load it automatically — you do not need to read this file. Use the read_model_section tool if you need to inspect specific sections.`; @@ -279,11 +281,13 @@ export class SessionManager { try { mkdirSync(sessionTempDir, { recursive: true }); } catch (err) { + logger.error(`[${sessionId}] Write Data to Disk... failed to create session temp directory '${sessionTempDir}':`, err); throw new Error(`Failed to create session temp directory '${sessionTempDir}': ${err.message}`); } try { writeFileSync(filePath, JSON.stringify(data, null, 2)); } catch (err) { + logger.error(`[${sessionId}] Failed to write data to '${filePath}':`, err); throw new Error(`Failed to write data to '${filePath}': ${err.message}`); } const message = `The data has been written to disk at: ${filePath}. Use the Read filesystem tool to load it into context.`; From df59a1c0c96edbb5f396182e68ce7ef1ebdb9e65 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Mon, 18 May 2026 17:08:01 -0400 Subject: [PATCH 204/226] added support for delay converters --- README.md | 8 +++++++- agent/tools/builtin/largeModelTools.js | 3 ++- utilities/LLMWrapper.js | 5 +++-- 3 files changed, 12 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index a868d6fd..257c4467 100644 --- a/README.md +++ b/README.md @@ -152,7 +152,7 @@ Models can be organized into modules for better structure and encapsulation: - All equations in consuming module reference the ghost, not the original source ### Discrete-Entity Sub-Types in SD-JSON -Variables can have a `subType` field that identifies them as discrete-event processing elements. Sub-types are a refinement of `type` — the top-level `type` field remains `"stock"` or `"flow"`. +Variables can have a `subType` field that further classifies them. Sub-types are a refinement of `type` — the top-level `type` field remains `"stock"`, `"flow"`, or `"variable"`. **Stock sub-types** — also set `additionalProperties` with the relevant configuration: @@ -171,6 +171,12 @@ Variables can have a `subType` field that identifies them as discrete-event proc | `"queueOutflow"` | The output flow from a queue. | | `"queueOverflow"` | The overflow flow emitted when a full queue cannot accept new items (requires `overflow: true` on the queue). | +**Variable sub-types** — set `subType` on plain `"variable"` type entities: + +| `subType` | Description | +|-----------|-------------| +| `"delayVariable"` | A plain variable whose equation contains a `DELAY` or `SMTH` builtin function (e.g. `DELAY1`, `DELAY3`, `DELAY N`, `SMTH1`, `SMTH3`). Set this whenever any DELAY or SMTH variant appears in the equation. | + **`additionalProperties`** fields for conveyor and oven stocks: | Field | Type | Applies to | Description | diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 6d9f3aa0..7ef2dcc3 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -41,6 +41,7 @@ Array handling: Sub-type handling: - Stock sub-types (set subType + additionalProperties): "queue" (waiting line), "oven" (batch processor), "conveyor" (pipeline delay) - Flow sub-types (set subType only, equation = ""): "discreteOutflow" (output from conveyor/oven), "conveyorLeakage" (leakage from conveyor), "queueOutflow" (output from queue), "queueOverflow" (overflow from full queue) +- Variable sub-types: "delayVariable" (plain variable whose equation uses a DELAY or SMTH builtin function) - additionalProperties fields by subType: * conveyor/oven: {processTime (required), capacity?, inflowLimit?, fillTime? (oven only), cleanTime? (oven only), sample?, arrest?} * conveyorLeakage: {leakFraction? (units 1/time_unit when exponential, dimensionless otherwise), exponential?, leakZoneStart?, leakZoneEnd?, leakIntegers?, ignorePrevZones?, forceLeakFraction?} @@ -58,7 +59,7 @@ Filtering: filter: z.object({ variableNames: z.array(z.string()).optional().describe('Filter variables by base name (matches both qualified and unqualified names, e.g., "cost" matches "Module_1.cost", "Module_2.cost", and "cost")'), variableType: z.enum(['stock', 'flow', 'variable']).optional().describe('Filter variables by type'), - subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow']).optional().describe('Filter variables by discrete-entity sub-type (e.g., find all conveyors or all queues)'), + subType: z.enum(['queue', 'oven', 'conveyor', 'discreteOutflow', 'conveyorLeakage', 'queueOutflow', 'queueOverflow', 'delayVariable']).optional().describe('Filter variables by sub-type (e.g., find all conveyors, all queues, or all delay variables)'), moduleName: z.string().optional().describe('Filter variables by module (e.g., "Module_Name" - variable names are module-qualified as Module_Name.variable_name)'), usedInEquation: z.string().optional().describe('Find variables whose equations reference this variable (case-insensitive). Searches in both equation and arrayEquations fields.'), relationshipFrom: z.string().optional().describe('Filter relationships by source variable'), diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 7313c6bf..9d80d329 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -238,7 +238,7 @@ export class LLMWrapper { "parentModule": "The name of the module that contains this module. If this module is at the top level (not nested within another module), this should be an empty string. If nested, this should be the simple name (not module-qualified) of the parent module.", "modules": "A list of module definitions that exist within this model. Each module represents a logical grouping or subsystem within the model hierarchy. Modules can contain variables and can be nested within other modules to create hierarchical model structures.", - "subType": "The sub-type of this stock or flow. Only set when the variable is a discrete-event processing element. Stock sub-types: 'queue' (a waiting line that holds items until they can be processed), 'oven' (a batch processor where items are held for a fixed cook time then released together), 'conveyor' (a pipeline delay where items travel a fixed transit time before exiting). Flow sub-types — these are automatically managed flows you name but do NOT write equations for: 'discreteOutflow' (output from a conveyor or oven), 'conveyorLeakage' (leakage from a conveyor — set additionalProperties to configure leakage behavior), 'queueOutflow' (output from a queue), 'queueOverflow' (overflow when a queue is full). Omit this field for all regular stocks, flows, and variables.", + "subType": "The sub-type of this stock, flow, or variable. Stock sub-types (also set additionalProperties): 'queue' (a waiting line that holds items until they can be processed), 'oven' (a batch processor where items are held for a fixed cook time then released together), 'conveyor' (a pipeline delay where items travel a fixed transit time before exiting). Flow sub-types — automatically managed flows you name but do NOT write equations for: 'discreteOutflow' (output from a conveyor or oven), 'conveyorLeakage' (leakage from a conveyor — set additionalProperties to configure leakage behavior), 'queueOutflow' (output from a queue), 'queueOverflow' (overflow when a queue is full). Variable sub-types: 'delayVariable' (a plain variable whose equation contains a DELAY or SMTH builtin function — set this whenever the variable equation uses DELAY1, DELAY3, DELAY N, SMTH1, SMTH3, or any other DELAY/SMTH variant). Omit this field for all other stocks, flows, and variables.", "additionalProperties": "Sub-type-specific configuration for queue, oven, conveyor, conveyorLeakage, and any regular flow that uses spreadFlow. Include this object when subType is 'queue', 'oven', 'conveyor', or 'conveyorLeakage', or when the variable is a regular flow that sets spreadFlow. Omit entirely for all other variable types.", @@ -838,7 +838,8 @@ export class LLMWrapper { static subTypeSchema() { return z.enum([ "queue", "oven", "conveyor", - "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow" + "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow", + "delayVariable" ]).describe(LLMWrapper.SCHEMA_STRINGS.subType); } From a77ecf5f29f92e4645dd4ed92b67067d61601c1f Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 08:34:20 -0400 Subject: [PATCH 205/226] clean up all resources appropriately --- agent/WebSocket.js | 6 ++++ agent/WorkerSpawner.js | 46 ++++++++++++++++++++++++++----- agent/utilities/SessionManager.js | 15 +++++++++- 3 files changed, 59 insertions(+), 8 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 5245e07e..ca7978d6 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -289,6 +289,12 @@ export class WebSocketHandler { // Guard: WS may have closed during bwrap retry delays (up to 9s). if (this.#ws.readyState !== 1) { this.#killWorker(); + // If the session was already deleted by #onClose, a retry attempt may + // have re-created the temp dir via mkdirSync after deleteSession's + // rmSync removed it. Clean it up so it doesn't become orphaned. + if (!this.#sessionManager.getSession(this.#sessionId)) { + this.#sessionManager.cleanupSessionTempDir(tempDir); + } return; } diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 3f274abd..38253939 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -55,6 +55,10 @@ class IpcWorker extends EventEmitter { this.#socketPath = socketPath; server.on('connection', (socket) => { + // Defensive: only one connection is expected per worker, but if a second + // arrives (e.g. retry inside the sandbox), tear the old one down rather + // than orphan its FD and listeners. + if (this.#socket && !this.#socket.destroyed) this.#socket.destroy(); this.#socket = socket; this.#socketConnected = true; this.emit('socket-connected'); @@ -83,6 +87,17 @@ class IpcWorker extends EventEmitter { server.on('error', (err) => this.emit('error', err)); } + /** + * Tear down the server + socket file without going through attach(). + * Use only when spawn() failed before attach() was called — once attached, + * proc.on('exit') owns the cleanup. + */ + dispose() { + this.#socket?.destroy(); + try { this.#server.close(); } catch { /* already closing */ } + try { unlinkSync(this.#socketPath); } catch { /* already gone */ } + } + /** Wire up the sandboxed process after the socket is already listening. */ attach(proc) { this.#proc = proc; @@ -307,18 +322,35 @@ export class WorkerSpawner { // Socket file is on disk before bwrap starts — no race condition. const worker = await IpcWorker.listen(socketPath); - const proc = spawn(bwrapBin, bwrapArgs, { - env: workerEnv, - stdio: ['inherit', 'inherit', 'inherit'], - }); + let proc; + try { + proc = spawn(bwrapBin, bwrapArgs, { + env: workerEnv, + stdio: ['inherit', 'inherit', 'inherit'], + }); + } catch (err) { + // spawn rarely throws synchronously (most failures emit 'error'), + // but bad options can. Tear down the listening server + socket file + // so we don't leak FDs across retries. + worker.dispose(); + throw err; + } worker.attach(proc); // Wait for either a successful IPC connection or an early bwrap exit. + // Each handler removes its sibling so the loser doesn't stay attached + // for the worker's lifetime firing into an already-resolved promise. const earlyExit = await new Promise((resolve) => { - worker.once('socket-connected', () => resolve(null)); - worker.once('exit', (code, signal) => { + const onConnected = () => { + worker.off('exit', onExit); + resolve(null); + }; + const onExit = (code, signal) => { + worker.off('socket-connected', onConnected); if (!worker.socketConnected) resolve({ code, signal }); - }); + }; + worker.once('socket-connected', onConnected); + worker.once('exit', onExit); }); if (earlyExit === null) return worker; // socket connected — worker is up diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 02a69ba6..ab78e9b3 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -534,11 +534,23 @@ ${conversationText}`; const session = this.sessions.get(sessionId); if (session) { // Reject any pending tool calls - for (const [callId, pendingCall] of session.pendingToolCalls.entries()) { + for (const [, pendingCall] of session.pendingToolCalls.entries()) { pendingCall.reject(new Error('Session closed')); } session.pendingToolCalls.clear(); + // Reject pending feedback/model requests created by builtin tools. + // Each entry owns a setTimeout handle that must be cleared so the + // session object becomes GC-eligible immediately. + for (const map of [session.pendingFeedbackRequests, session.pendingModelRequests]) { + if (!map) continue; + for (const [, pending] of map.entries()) { + clearTimeout(pending.timeout); + pending.reject(new Error('Session closed')); + } + map.clear(); + } + // Clean up session temp folder this.cleanupSessionTempDir(session.tempDir); @@ -574,6 +586,7 @@ ${conversationText}`; #startCleanupTimer() { this.cleanupTimer = setInterval(() => { this.cleanupStaleSessions(); + this.#cleanupOrphanedTempDirs(); }, this.cleanupInterval); } From a96b8b914b21305489a432d2195b5cd66b76459c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 08:57:17 -0400 Subject: [PATCH 206/226] catch missing token usage from session summaries --- agent/utilities/SessionManager.js | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index ab78e9b3..7c4ed878 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -6,6 +6,7 @@ import Anthropic from '@anthropic-ai/sdk'; import { GoogleGenAI } from '@google/genai'; import { countTokens } from '@anthropic-ai/tokenizer'; import logger from '../../utilities/logger.js'; +import TokenUsageReporter, { Provider } from '../../utilities/TokenUsageReporter.js'; import config from '../../config.js'; /** @@ -321,7 +322,7 @@ export class SessionManager { * Summarize an array of messages using the LLM and return a single summary message object. * Private — only called by #summarizeContextIfNeeded and cleanupContext. */ - async #summarizeMessages(messages) { + async #summarizeMessages(messages, sessionId) { try { const isGeminiFormat = messages.some(m => Array.isArray(m.parts)); @@ -359,6 +360,9 @@ Keep the summary brief but informative (2-4 paragraphs maximum). Conversation history: ${conversationText}`; + const clientId = this.getSession(sessionId)?.clientId ?? null; + const reporter = new TokenUsageReporter(config.tokenReporterURL, clientId); + let summaryText; if (isGeminiFormat) { if (!this.gemini) { @@ -368,6 +372,7 @@ ${conversationText}`; model: config.agentGeminiSummaryModel, contents: [{ role: 'user', parts: [{ text: summaryPrompt }] }] }); + reporter.report({ provider: Provider.GOOGLE, model: config.agentGeminiSummaryModel, usage: response.usageMetadata }).catch(() => {}); summaryText = response.text || response.candidates?.[0]?.content?.parts?.[0]?.text || ''; } else { if (!this.anthropic) { @@ -378,6 +383,7 @@ ${conversationText}`; max_tokens: 1024, messages: [{ role: 'user', content: summaryPrompt }] }); + reporter.report({ provider: Provider.ANTHROPIC, model: config.agentAnthropicSummaryModel, usage: response.usage }).catch(() => {}); summaryText = response.content[0].text; } @@ -458,7 +464,7 @@ ${conversationText}`; } if (chunk.length > 0) chunks.push(chunk); - const summaries = await Promise.all(chunks.map(c => this.#summarizeMessages(c))); + const summaries = await Promise.all(chunks.map(c => this.#summarizeMessages(c, sessionId))); const replacement = [...summaries, ...tail]; messages.splice(0, messages.length, ...replacement); From 891866269e921d2714a16b2b803117ec74e4b8e6 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 09:26:19 -0400 Subject: [PATCH 207/226] found the source of the duplicate SDK and ADK token costs --- agent/AgentOrchestrator.js | 20 ++++++++++++++++++-- utilities/TokenUsageReporter.js | 11 ----------- 2 files changed, 18 insertions(+), 13 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 269e8516..16ae02b8 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -70,6 +70,8 @@ export class AgentOrchestrator { #geminiManualCacheKey = null; #geminiManualCacheExpiry = null; #pendingMessages = []; + #sdkReportedMessageIds = new Set(); + #adkReportedUsageMetadata = new WeakSet(); constructor(sessionManager, sessionId, sendToClient, agentConfig, provider = config.agentDefaultProvider) { this.sessionManager = sessionManager; @@ -584,7 +586,14 @@ export class AgentOrchestrator { * Handle assistant messages (text from Claude) */ async #handleAnthropicSDKAssistantMessage(message) { - this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage); + // The Agent SDK emits a separate SDKAssistantMessage per content block (text, + // tool_use, thinking), but each one carries the same underlying BetaMessage + // usage. Dedupe by BetaMessage.id so we only report usage once per API call. + const messageId = message.message?.id; + if (messageId && !this.#sdkReportedMessageIds.has(messageId)) { + this.#sdkReportedMessageIds.add(messageId); + this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage); + } const content = message.message?.content; const rawTextParts = []; @@ -1364,7 +1373,14 @@ export class AgentOrchestrator { newMessage: currentMessage, abortSignal: this.abortController.signal })) { - if (event.usageMetadata) this.#logApiUsage(Provider.GOOGLE, event.usageMetadata); + // ADK can emit multiple events per LLM call that share the same + // usageMetadata object reference (e.g. a streamed partial yield plus + // the aggregated close() yield). No LLM-call id is exposed on the + // event, so reference equality is the only available dedup key. + if (event.usageMetadata && !this.#adkReportedUsageMetadata.has(event.usageMetadata)) { + this.#adkReportedUsageMetadata.add(event.usageMetadata); + this.#logApiUsage(Provider.GOOGLE, event.usageMetadata); + } if (this.stopRequested) break; await this.#handleAdkEvent(event); if (isFinalResponse(event)) turnCount++; diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index acc4f660..d54b5733 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -14,10 +14,6 @@ export const ProviderDisplayNames = Object.freeze({ }); class TokenUsageReporter { - // Guards against reporting the same usage object twice (e.g. when a provider - // reuses the same object across multiple events for one API call). - #reported = new WeakSet(); - /** * @param {string|null} url - Optional URL to POST token usage to. If null, reporting is disabled. * @param {string|null} clientId - The clientId from the InitializeSessionMessage. @@ -37,8 +33,6 @@ class TokenUsageReporter { */ async report({ provider, model, usage }) { if (!usage) return; - const isDuplicate = this.#reported.has(usage); - if (!isDuplicate) this.#reported.add(usage); const isAnthropic = provider === Provider.ANTHROPIC; const isOpenAI = provider === Provider.OPENAI; @@ -74,12 +68,10 @@ class TokenUsageReporter { const costs = this.#calculateCost(provider, model, tokens); const fmt = (n, cost) => cost != null ? `${n}($${cost.toFixed(6)})` : `${n}`; - const dupTag = isDuplicate ? ' [duplicate?]' : ''; const clientTag = this.clientId ? ` client=${this.clientId}` : ''; if (isAnthropic) { logger.log( `[usage:${provider}]` + - dupTag + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + @@ -91,7 +83,6 @@ class TokenUsageReporter { } else if (isOpenAI) { logger.log( `[usage:${provider}]` + - dupTag + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + @@ -102,7 +93,6 @@ class TokenUsageReporter { } else { logger.log( `[usage:${provider}]` + - dupTag + clientTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + @@ -121,7 +111,6 @@ class TokenUsageReporter { tokens, cost: costs?.total ?? null, timestamp: new Date().toISOString(), - ...(isDuplicate && { potentialDuplicate: true }), }; try { From 35d2b4f11109313990f84d8e893e606fb4d32a0a Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 10:56:06 -0400 Subject: [PATCH 208/226] report potential duplicate token usages --- agent/AgentOrchestrator.js | 13 +++++++++---- utilities/TokenUsageReporter.js | 11 +++++++++-- 2 files changed, 18 insertions(+), 6 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 16ae02b8..5e4ce9a9 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -590,10 +590,13 @@ export class AgentOrchestrator { // tool_use, thinking), but each one carries the same underlying BetaMessage // usage. Dedupe by BetaMessage.id so we only report usage once per API call. const messageId = message.message?.id; + + this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage, null, this.#sdkReportedMessageIds.has(messageId)); + if (messageId && !this.#sdkReportedMessageIds.has(messageId)) { this.#sdkReportedMessageIds.add(messageId); - this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage); } + const content = message.message?.content; const rawTextParts = []; @@ -1377,10 +1380,12 @@ export class AgentOrchestrator { // usageMetadata object reference (e.g. a streamed partial yield plus // the aggregated close() yield). No LLM-call id is exposed on the // event, so reference equality is the only available dedup key. + this.#logApiUsage(Provider.GOOGLE, event.usageMetadata, NULL, this.#adkReportedUsageMetadata.has(event.usageMetadata)); + if (event.usageMetadata && !this.#adkReportedUsageMetadata.has(event.usageMetadata)) { this.#adkReportedUsageMetadata.add(event.usageMetadata); - this.#logApiUsage(Provider.GOOGLE, event.usageMetadata); } + if (this.stopRequested) break; await this.#handleAdkEvent(event); if (isFinalResponse(event)) turnCount++; @@ -1657,12 +1662,12 @@ export class AgentOrchestrator { } } - #logApiUsage(provider, usage, model = null) { + #logApiUsage(provider, usage, model = null, potentialDuplicate = false) { if (!usage) return; const resolvedModel = model ?? ( provider === Provider.ANTHROPIC ? config.agentAnthropicModel : config.agentGeminiModel ); - this.tokenReporter.report({ provider, model: resolvedModel, usage }).catch(() => {}); + this.tokenReporter.report({ provider, model: resolvedModel, usage, potentialDuplicate }).catch(() => {}); } diff --git a/utilities/TokenUsageReporter.js b/utilities/TokenUsageReporter.js index d54b5733..05847734 100644 --- a/utilities/TokenUsageReporter.js +++ b/utilities/TokenUsageReporter.js @@ -30,8 +30,9 @@ class TokenUsageReporter { * @param {string} params.provider - LLM provider: use Provider.ANTHROPIC | Provider.OPENAI | Provider.GOOGLE * @param {string} params.model - Specific model name, e.g. 'claude-sonnet-4-6' or 'gemini-3-flash-preview' * @param {Object} params.usage - Raw usage object from the LLM provider + * @param {boolean} params.potentialDuplicate - 'true' if we think this is likely a duplicate cost from either the claude sdk or the google adk */ - async report({ provider, model, usage }) { + async report({ provider, model, usage, potentialDuplicate }) { if (!usage) return; const isAnthropic = provider === Provider.ANTHROPIC; @@ -67,12 +68,15 @@ class TokenUsageReporter { const costs = this.#calculateCost(provider, model, tokens); const fmt = (n, cost) => cost != null ? `${n}($${cost.toFixed(6)})` : `${n}`; - + + const duplicateTag = potentialDuplicate ? ' [duplicate?]' : ''; const clientTag = this.clientId ? ` client=${this.clientId}` : ''; + if (isAnthropic) { logger.log( `[usage:${provider}]` + clientTag + + duplicateTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + ` cache_write_5m=${fmt(tokens.cacheCreation5mInputTokens, costs?.cacheCreation5mInputTokens)}` + @@ -84,6 +88,7 @@ class TokenUsageReporter { logger.log( `[usage:${provider}]` + clientTag + + duplicateTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + ` cached=${fmt(tokens.cachedTokens, costs?.cachedTokens)}` + @@ -94,6 +99,7 @@ class TokenUsageReporter { logger.log( `[usage:${provider}]` + clientTag + + duplicateTag + ` input=${fmt(tokens.inputTokens, costs?.inputTokens)}` + ` output=${fmt(tokens.outputTokens, costs?.outputTokens)}` + ` cached=${fmt(tokens.cachedTokens, costs?.cachedTokens)}` + @@ -111,6 +117,7 @@ class TokenUsageReporter { tokens, cost: costs?.total ?? null, timestamp: new Date().toISOString(), + potentialDuplicate }; try { From c0b3925c32124e2b3bebe946cb5949f6187f1885 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 13:32:23 -0400 Subject: [PATCH 209/226] fixed null typo --- agent/AgentOrchestrator.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 5e4ce9a9..1ec179ad 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -1380,7 +1380,7 @@ export class AgentOrchestrator { // usageMetadata object reference (e.g. a streamed partial yield plus // the aggregated close() yield). No LLM-call id is exposed on the // event, so reference equality is the only available dedup key. - this.#logApiUsage(Provider.GOOGLE, event.usageMetadata, NULL, this.#adkReportedUsageMetadata.has(event.usageMetadata)); + this.#logApiUsage(Provider.GOOGLE, event.usageMetadata, null, this.#adkReportedUsageMetadata.has(event.usageMetadata)); if (event.usageMetadata && !this.#adkReportedUsageMetadata.has(event.usageMetadata)) { this.#adkReportedUsageMetadata.add(event.usageMetadata); From 0b17132aeb54b4b5a96742e410e82a2dcbe4073c Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 14:01:51 -0400 Subject: [PATCH 210/226] capture anthropic sdk costs with the singular message at the end unless stopped mid-way though, then sum them up without de-duplication --- agent/AgentOrchestrator.js | 177 ++++++++++++++++++++++++------------- 1 file changed, 116 insertions(+), 61 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index 1ec179ad..d3ecc549 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -70,8 +70,21 @@ export class AgentOrchestrator { #geminiManualCacheKey = null; #geminiManualCacheExpiry = null; #pendingMessages = []; - #sdkReportedMessageIds = new Set(); - #adkReportedUsageMetadata = new WeakSet(); + // ADK can emit multiple events per LLM call that share the same usageMetadata + // object reference (e.g. a streamed partial yield plus the aggregated close() + // yield). No LLM-call id is exposed on the event, so reference equality is the + // only available dedup key. + #geminiAdkReportedUsageMetadata = new WeakSet(); + // Per-assistant usage accumulator for the anthropic SDK route. The SDKResultMessage + // carries the authoritative aggregate and supersedes this on normal completion; + // we only flush the accumulator as a fallback when a query aborts before its + // result message arrives. + #anthropicSdkAccumulatorUsage = { + input_tokens: 0, + output_tokens: 0, + cache_creation: { ephemeral_5m_input_tokens: 0, ephemeral_1h_input_tokens: 0 }, + cache_read_input_tokens: 0, + }; constructor(sessionManager, sessionId, sendToClient, agentConfig, provider = config.agentDefaultProvider) { this.sessionManager = sessionManager; @@ -82,7 +95,7 @@ export class AgentOrchestrator { // SDK-specific properties (for SDK mode) this.abortController = null; - this.sdkSessionId = null; // SDK session ID for conversation continuity + this.anthropicSdkSessionId = null; // SDK session ID for conversation continuity this.pendingToolCalls = new Map(); // Track tool_use_id -> tool_name mapping // Load configuration @@ -98,8 +111,8 @@ export class AgentOrchestrator { }); this.gemini = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY }); - this.adkSessionId = null; - this.adkSessionService = new InMemorySessionService(); + this.geminiAdkSessionId = null; + this.geminiAdkSessionService = new InMemorySessionService(); const clientId = sessionManager.getSession(sessionId)?.clientId ?? null; this.llm = new LLMWrapper({ clientId, underlyingModel: config.agentAnthropicSummaryModel }); @@ -133,13 +146,13 @@ export class AgentOrchestrator { switch (`${this.provider}-${loopStyle}`) { case 'anthropic-sdk': - await this.startConversationWithAnthropicSDK(userMessage, previousAgentContext); + await this.startConversationWithAnthropicSdk(userMessage, previousAgentContext); break; case 'anthropic-manual': await this.startConversationAnthropicManual(userMessage); break; case 'google-sdk': - await this.startConversationWithADK(userMessage, previousAgentContext); + await this.startConversationWithGeminiAdk(userMessage, previousAgentContext); break; case 'google-manual': await this.startConversationGeminiManual(userMessage); @@ -221,7 +234,7 @@ export class AgentOrchestrator { ]; // Convert tool servers to Anthropic tool format (with conditional filtering) - const tools = this.#convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount, mode); + const tools = this.#anthropicManualConvertTools(builtInTools, dynamicTools, modelTokenCount, mode); const maxIterations = this.configManager.getMaxIterations(); @@ -347,7 +360,7 @@ export class AgentOrchestrator { /** * Start conversation using Claude Agent SDK */ - async startConversationWithAnthropicSDK(userMessage, previousAgentContext = null) { + async startConversationWithAnthropicSdk(userMessage, previousAgentContext = null) { const session = this.sessionManager.getSession(this.sessionId); const mode = session.mode; @@ -410,7 +423,7 @@ export class AgentOrchestrator { ]; // Prefix tool names in system prompt - systemPrompt = this.#anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); + systemPrompt = this.#anthropicSdkPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames); // Build query options with MCP servers const queryOptions = { @@ -428,20 +441,20 @@ export class AgentOrchestrator { }; // If we have an SDK session ID, resume the conversation - if (this.sdkSessionId) { - queryOptions.resume = this.sdkSessionId; - logger.log(`Anthropic SDK: Resuming SDK conversation with session_id: ${this.sdkSessionId}`); + if (this.anthropicSdkSessionId) { + queryOptions.resume = this.anthropicSdkSessionId; + logger.log(`Anthropic SDK: Resuming SDK conversation with session_id: ${this.anthropicSdkSessionId}`); } else { logger.log(`Anthropic SDK: Starting new SDK conversation`); } // Build prompt - inject prior agent's history as plain string prefix on agent switch let prompt = userMessage; - if (previousAgentContext?.length > 0 && !this.sdkSessionId) { + if (previousAgentContext?.length > 0 && !this.anthropicSdkSessionId) { const contextToReplay = previousAgentContext.slice(0, -1).map(toAnthropicMessage); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → SDK] Replaying ${contextToReplay.length} messages from prior agent.`); - const contextText = await this.#buildPriorContextTextAnthropic(contextToReplay); + const contextText = await this.#anthropicSdkBuildPriorContextText(contextToReplay); prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; } } @@ -463,7 +476,7 @@ export class AgentOrchestrator { const next = this.#pendingMessages.shift(); logger.log(`Anthropic SDK: processing queued message (remaining: ${this.#pendingMessages.length})`); this.maxTurnsReached = false; - const followUpIterator = query({ prompt: next, options: { ...queryOptions, resume: this.sdkSessionId } }); + const followUpIterator = query({ prompt: next, options: { ...queryOptions, resume: this.anthropicSdkSessionId } }); for await (const message of followUpIterator) { await this.#handleAnthropicSdkMessage(message); } @@ -515,6 +528,9 @@ export class AgentOrchestrator { )); } } finally { + // Safety net: report any per-assistant usage that wasn't superseded by a + // result message (e.g. the query was aborted mid-stream). + this.#flushAnthropicSdkUsageAccumulator(); this.abortController = null; } } @@ -548,18 +564,18 @@ export class AgentOrchestrator { async #handleAnthropicSdkMessage(message) { switch (message.type) { case 'assistant': - await this.#handleAnthropicSDKAssistantMessage(message); + await this.#handleAnthropicSdkAssistantMessage(message); break; case 'result': - await this.#handleAnthropicSDKResultMessage(message); + await this.#handleAnthropicSdkResultMessage(message); break; case 'system': if (message.subtype === 'init') { if (message.session_id) { - this.sdkSessionId = message.session_id; - logger.log(`Anthropic SDK initialized for session ${this.sessionId}, SDK session_id: ${this.sdkSessionId}`); + this.anthropicSdkSessionId = message.session_id; + logger.log(`Anthropic SDK initialized for session ${this.sessionId}, SDK session_id: ${this.anthropicSdkSessionId}`); } } else if (message.subtype === 'error') { logger.error(`Anthropic SDK system error for session ${this.sessionId}:`, message.error || message); @@ -574,7 +590,7 @@ export class AgentOrchestrator { break; case 'user': - await this.#handleAnthropicSDKUserMessage(message); + await this.#handleAnthropicSdkUserMessage(message); break; default: @@ -584,17 +600,20 @@ export class AgentOrchestrator { /** * Handle assistant messages (text from Claude) + * + * Usage isn't reported here — the SDKResultMessage carries the authoritative + * aggregate (including the SDK's internal compaction calls). But on abort no + * result message arrives, so we also accumulate every per-assistant usage and + * flush it as a fallback in the surrounding try/finally. */ - async #handleAnthropicSDKAssistantMessage(message) { - // The Agent SDK emits a separate SDKAssistantMessage per content block (text, - // tool_use, thinking), but each one carries the same underlying BetaMessage - // usage. Dedupe by BetaMessage.id so we only report usage once per API call. - const messageId = message.message?.id; - - this.#logApiUsage(Provider.ANTHROPIC, message.message?.usage, null, this.#sdkReportedMessageIds.has(messageId)); - - if (messageId && !this.#sdkReportedMessageIds.has(messageId)) { - this.#sdkReportedMessageIds.add(messageId); + async #handleAnthropicSdkAssistantMessage(message) { + const usage = message.message?.usage; + if (usage) { + this.#anthropicSdkAccumulatorUsage.input_tokens += usage.input_tokens ?? 0; + this.#anthropicSdkAccumulatorUsage.output_tokens += usage.output_tokens ?? 0; + this.#anthropicSdkAccumulatorUsage.cache_creation.ephemeral_5m_input_tokens += usage.cache_creation?.ephemeral_5m_input_tokens ?? 0; + this.#anthropicSdkAccumulatorUsage.cache_creation.ephemeral_1h_input_tokens += usage.cache_creation?.ephemeral_1h_input_tokens ?? 0; + this.#anthropicSdkAccumulatorUsage.cache_read_input_tokens += usage.cache_read_input_tokens ?? 0; } const content = message.message?.content; @@ -667,7 +686,7 @@ export class AgentOrchestrator { /** * Handle user messages (tool results being sent back to Claude) */ - async #handleAnthropicSDKUserMessage(message) { + async #handleAnthropicSdkUserMessage(message) { const content = message.message?.content; if (content && Array.isArray(content)) { @@ -700,9 +719,21 @@ export class AgentOrchestrator { } /** - * Handle result messages (conversation completion) + * Handle result messages (conversation completion). + * + * The result message carries the aggregate usage for the entire query (across + * every assistant turn AND the SDK's internal compaction calls), so this is + * the canonical point where we report usage for the SDK route. The + * per-assistant accumulator is reset because the result supersedes it. */ - async #handleAnthropicSDKResultMessage(message) { + async #handleAnthropicSdkResultMessage(message) { + if (message.usage) { + this.#logApiUsage(Provider.ANTHROPIC, message.usage); + this.#resetAnthropicSdkUsageAccumulator(); + } else { + this.#flushAnthropicSdkUsageAccumulator(); + } + if (message.subtype === 'success') { logger.log(`Anthropic SDK conversation completed successfully for session ${this.sessionId}`); } else if (message.subtype === 'error_max_turns') { @@ -721,7 +752,7 @@ export class AgentOrchestrator { * Prefix tool names in system prompt for SDK mode * Scans the system prompt and adds mcp__ prefixes to tool names */ - #anthropicSDKPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { + #anthropicSdkPrefixToolNamesInSystemPrompt(systemPrompt, builtInToolNames, clientToolNames) { let modifiedPrompt = systemPrompt; // Create mapping of unprefixed tool names to prefixed versions @@ -933,7 +964,7 @@ export class AgentOrchestrator { * Build prior-history context text, summarizing if it exceeds the token budget. * Used when injecting prior agent context into an SDK session. */ - async #buildPriorContextTextAnthropic(history) { + async #anthropicSdkBuildPriorContextText(history) { try { const conversationText = history.map((msg) => { if (msg.role === 'user') { @@ -1008,7 +1039,7 @@ export class AgentOrchestrator { /** * Convert tool servers to Anthropic tool format */ - #convertToolsToAnthropicFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { + #anthropicManualConvertTools(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { const tools = []; const toolNames = new Set(); @@ -1108,7 +1139,7 @@ export class AgentOrchestrator { this.sessionManager.updateModelTokenCount(this.sessionId, modelTokenCount); } - const toolDeclarations = this.#convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount, mode); + const toolDeclarations = this.#geminiManualConvertTools(builtInTools, dynamicTools, modelTokenCount, mode); // Build or reuse per-session Gemini context cache (system prompt + tools) let geminiConfig = await this.#getGeminiManualConfig(systemPrompt, toolDeclarations); @@ -1273,7 +1304,7 @@ export class AgentOrchestrator { #adkHasPriorContext = false; - async startConversationWithADK(userMessage, previousAgentContext = null) { + async startConversationWithGeminiAdk(userMessage, previousAgentContext = null) { const session = this.sessionManager.getSession(this.sessionId); const mode = session.mode; @@ -1340,19 +1371,19 @@ export class AgentOrchestrator { const runner = new Runner({ appName: 'sd-ai', agent, - sessionService: this.adkSessionService + sessionService: this.geminiAdkSessionService }); - if (!this.adkSessionId) { - this.adkSessionId = this.sessionId; - await this.adkSessionService.createSession({ + if (!this.geminiAdkSessionId) { + this.geminiAdkSessionId = this.sessionId; + await this.geminiAdkSessionService.createSession({ appName: 'sd-ai', userId: this.sessionId, - sessionId: this.adkSessionId + sessionId: this.geminiAdkSessionId }); - logger.log(`Gemini ADK: session created: ${this.adkSessionId}`); + logger.log(`Gemini ADK: session created: ${this.geminiAdkSessionId}`); } else { - logger.log(`Gemini ADK: Resuming session: ${this.adkSessionId}`); + logger.log(`Gemini ADK: Resuming session: ${this.geminiAdkSessionId}`); } let prompt = userMessage; @@ -1360,7 +1391,7 @@ export class AgentOrchestrator { const contextToReplay = previousAgentContext.slice(0, -1).map(toGeminiMessage); if (contextToReplay.length > 0) { logger.debug(`[Agent switch → ADK] Replaying ${contextToReplay.length} messages from prior agent.`); - const contextText = await this.#buildPriorContextTextGemini(contextToReplay); + const contextText = await this.#geminiAdkBuildPriorContextText(contextToReplay); prompt = `[Prior conversation context]\n${contextText}\n[End of prior context]\n\n${userMessage}`; } this.#adkHasPriorContext = true; @@ -1372,22 +1403,17 @@ export class AgentOrchestrator { while (true) { for await (const event of runner.runAsync({ userId: this.sessionId, - sessionId: this.adkSessionId, + sessionId: this.geminiAdkSessionId, newMessage: currentMessage, abortSignal: this.abortController.signal })) { - // ADK can emit multiple events per LLM call that share the same - // usageMetadata object reference (e.g. a streamed partial yield plus - // the aggregated close() yield). No LLM-call id is exposed on the - // event, so reference equality is the only available dedup key. - this.#logApiUsage(Provider.GOOGLE, event.usageMetadata, null, this.#adkReportedUsageMetadata.has(event.usageMetadata)); - - if (event.usageMetadata && !this.#adkReportedUsageMetadata.has(event.usageMetadata)) { - this.#adkReportedUsageMetadata.add(event.usageMetadata); + if (event.usageMetadata && !this.#geminiAdkReportedUsageMetadata.has(event.usageMetadata)) { + this.#geminiAdkReportedUsageMetadata.add(event.usageMetadata); + this.#logApiUsage(Provider.GOOGLE, event.usageMetadata); } if (this.stopRequested) break; - await this.#handleAdkEvent(event); + await this.#handleGeminiAdkEvent(event); if (isFinalResponse(event)) turnCount++; if (turnCount >= maxIterations) { logger.warn(`Gemini ADK: agent reached max iterations (${maxIterations})`); @@ -1443,7 +1469,7 @@ export class AgentOrchestrator { } } - async #handleAdkEvent(event) { + async #handleGeminiAdkEvent(event) { if (event.errorCode) { throw new Error(event.errorMessage || `ADK error: ${event.errorCode}`); } @@ -1512,7 +1538,7 @@ export class AgentOrchestrator { } } - #convertToolsToGeminiFormat(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { + #geminiManualConvertTools(builtInTools, dynamicTools, modelTokenCount = 0, mode = null) { const declarations = []; const toolNames = new Set(); @@ -1545,7 +1571,7 @@ export class AgentOrchestrator { return declarations; } - async #buildPriorContextTextGemini(history) { + async #geminiAdkBuildPriorContextText(history) { try { const conversationText = history.map((msg) => { const role = msg.role === 'user' ? 'User' : 'Assistant'; @@ -1662,6 +1688,35 @@ export class AgentOrchestrator { } } + #resetAnthropicSdkUsageAccumulator() { + this.#anthropicSdkAccumulatorUsage = { + input_tokens: 0, + output_tokens: 0, + cache_creation: { ephemeral_5m_input_tokens: 0, ephemeral_1h_input_tokens: 0 }, + cache_read_input_tokens: 0, + }; + } + + /** + * Report any per-assistant usage that hasn't been superseded by a result + * message. Used as the abort/error fallback so a stopped conversation still + * gets its tokens counted. + */ + #flushAnthropicSdkUsageAccumulator() { + const u = this.#anthropicSdkAccumulatorUsage; + const hasUsage = + u.input_tokens > 0 || + u.output_tokens > 0 || + u.cache_creation.ephemeral_5m_input_tokens > 0 || + u.cache_creation.ephemeral_1h_input_tokens > 0 || + u.cache_read_input_tokens > 0; + if (hasUsage) { + logger.log(`Anthropic SDK: flushing accumulated per-assistant usage (no result message) for session ${this.sessionId}`); + this.#logApiUsage(Provider.ANTHROPIC, u); + } + this.#resetAnthropicSdkUsageAccumulator(); + } + #logApiUsage(provider, usage, model = null, potentialDuplicate = false) { if (!usage) return; const resolvedModel = model ?? ( @@ -1688,7 +1743,7 @@ export class AgentOrchestrator { this.dynamicToolProvider = null; this.anthropic = null; this.gemini = null; - this.adkSessionService = null; + this.geminiAdkSessionService = null; this.configManager = null; } } From 18e80b233aaad3fef2caff4244f492fc45670650 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 14:16:02 -0400 Subject: [PATCH 211/226] break the large model tools up to be easier to work with --- agent/README.md | 7 +- agent/tools/BuiltInToolProvider.js | 12 +- agent/tools/builtin/index.js | 5 +- agent/tools/builtin/largeModelTools.js | 735 ++++++++++--------- agent/utilities/AgentConfigurationManager.js | 106 +-- tests/agent/tools/largeModelTools.test.js | 117 +-- 6 files changed, 519 insertions(+), 463 deletions(-) diff --git a/agent/README.md b/agent/README.md index 3bbd5798..48e37884 100644 --- a/agent/README.md +++ b/agent/README.md @@ -722,7 +722,7 @@ Each built-in tool is a plain object returned by a factory function. The fields | Field | Type | Description | |---|---|---| | `maxModelTokens` | `number` | If the current model's token count exceeds this value, the tool is excluded from the agent's tool list. Used for tools that receive the full model (e.g., `generate_quantitative_model`). | -| `minModelTokens` | `number` | If the current model's token count is below this value, the tool is excluded. Used for tools that only make sense for large models (e.g., `read_model_section`, `edit_model_section`). | +| `minModelTokens` | `number` | If the current model's token count is below this value, the tool is excluded. Used for tools that only make sense for large models (e.g., `read_model_section`, `edit_variables`). | | `nonSdkOnly` | `boolean` | If `true`, the tool is excluded from the Anthropic SDK (`sdk`) mode's MCP server and the Google ADK tool list. It is only available in `manual` loop mode. Use this for tools that duplicate functionality already provided natively by the SDK (e.g. file system tools). | Token counting runs on every conversation turn for all sessions. The token thresholds use `agentMaxTokensForEngines` from `config.js` (default: 100,000). @@ -758,7 +758,10 @@ All core tools are registered server-side. Clients do not need to register them. ### Large Model Utilities - **read_model_section** — Read a section of a large model without loading it entirely -- **edit_model_section** — Edit a section of a large model in place +- **edit_variables** — Add, update, or remove variables in a large model in place +- **edit_relationships** — Add, update, or remove relationships in a large model in place +- **edit_specs** — Update simulation specs (startTime, stopTime, dt, timeUnits, arrayDimensions) in a large model in place +- **edit_modules** — Add, update, or remove modules in a large model in place ### File Utilities - **read_file** — Read a file from the session temp directory (supports line range and search filtering) diff --git a/agent/tools/BuiltInToolProvider.js b/agent/tools/BuiltInToolProvider.js index b94ec426..e743a3d5 100644 --- a/agent/tools/BuiltInToolProvider.js +++ b/agent/tools/BuiltInToolProvider.js @@ -18,7 +18,10 @@ import { createGetVariableDataTool, createVisualizationTool, createReadModelSectionTool, - createEditModelSectionTool, + createEditVariablesTool, + createEditRelationshipsTool, + createEditSpecsTool, + createEditModulesTool, createReadFileTool, createWriteFileTool, createEditFileTool @@ -48,7 +51,7 @@ import { * - get_run_info * - get_variable_data * - read_model_section (for reading parts of large models) - * - edit_model_section (for editing parts of large models) + * - edit_variables, edit_relationships, edit_specs, edit_modules (for editing parts of large models) */ export class BuiltInToolProvider { constructor(sessionManager, sessionId, sendToClient) { @@ -79,7 +82,10 @@ export class BuiltInToolProvider { get_variable_data: createGetVariableDataTool(this.sessionManager, this.sessionId, this.sendToClient), create_visualization: createVisualizationTool(this.sessionManager, this.sessionId, this.sendToClient, this.vizEngine), read_model_section: createReadModelSectionTool(this.sessionManager, this.sessionId), - edit_model_section: createEditModelSectionTool(this.sessionManager, this.sessionId, this.sendToClient), + edit_variables: createEditVariablesTool(this.sessionManager, this.sessionId, this.sendToClient), + edit_relationships: createEditRelationshipsTool(this.sessionManager, this.sessionId, this.sendToClient), + edit_specs: createEditSpecsTool(this.sessionManager, this.sessionId, this.sendToClient), + edit_modules: createEditModulesTool(this.sessionManager, this.sessionId, this.sendToClient), read_file: createReadFileTool() //write_file: createWriteFileTool(), //edit_file: createEditFileTool() diff --git a/agent/tools/builtin/index.js b/agent/tools/builtin/index.js index aafcef82..093beadf 100644 --- a/agent/tools/builtin/index.js +++ b/agent/tools/builtin/index.js @@ -21,7 +21,10 @@ export { export { createVisualizationTool } from './createVisualization.js'; export { createReadModelSectionTool, - createEditModelSectionTool + createEditVariablesTool, + createEditRelationshipsTool, + createEditSpecsTool, + createEditModulesTool } from './largeModelTools.js'; export { createReadFileTool, createWriteFileTool, createEditFileTool } from './fileTools.js'; diff --git a/agent/tools/builtin/largeModelTools.js b/agent/tools/builtin/largeModelTools.js index 7ef2dcc3..6c1c341d 100644 --- a/agent/tools/builtin/largeModelTools.js +++ b/agent/tools/builtin/largeModelTools.js @@ -10,6 +10,10 @@ const variableBase = LLMWrapper.variableSchemaBase(); const simSpecsBase = LLMWrapper.simSpecsSchemaBase(); const relationshipBase = LLMWrapper.relationshipSchemaBase(); +// Variable names are stored with spaces; equations use underscores. +const normName = n => typeof n === 'string' ? n.replace(/_/g, ' ') : n; +const normSearch = s => typeof s === 'string' ? s.toLowerCase().replace(/[ _]/g, '_') : s; + /** * Read a specific section of the large model file */ @@ -188,402 +192,421 @@ Filtering: } /** - * Edit a specific section of the large model file + * Load the on-disk model for the session, applying a mutation, then push to client. + * Shared by all per-section edit tools. + * + * @param {Object} args + * @param {Object} args.sessionManager + * @param {string} args.sessionId + * @param {Function} args.sendToClient + * @param {string} args.section - For the response message + * @param {string} args.operation - For the response message + * @param {Function} args.mutate - (model) => string|null; return error message to abort */ -export function createEditModelSectionTool(sessionManager, sessionId, sendToClient) { - return { - description: `Edit a specific section of the large model file. This allows you to modify parts of the model without loading the entire thing. +async function applyEdit({ sessionManager, sessionId, sendToClient, section, operation, mutate }) { + const session = sessionManager.getSession(sessionId); + if (!session) { + throw new Error(`Session not found: ${sessionId}`); + } -You can edit: -- specs: Update simulation specifications (startTime, stopTime, dt, timeUnits, arrayDimensions). - * arrayDimensions schema: [{type: "numeric"|"labels", name: string (singular, alphanumeric), size: number (positive integer), elements: string[] (element names)}] - * CRITICAL: All four fields (type, name, size, elements) are REQUIRED for each dimension - * type="numeric": elements auto-generated as ['1','2','3'...] based on size - * type="labels": elements are user-defined meaningful names like ['North','South','East','West'] - * When updating arrayDimensions, provide the COMPLETE array with all dimensions (it replaces the entire array) -- variables: Add, update, or remove specific variables. - * Variable Schema: {name, type (stock|flow|variable), equation?, documentation?, units?, uniflow?, inflows?, outflows?, dimensions?, arrayEquations?, crossLevelGhostOf?, graphicalFunction?, subType?, additionalProperties?} - * subType identifies discrete-entity processing elements (a refinement of type — top-level type remains "stock" or "flow"): - - Stock sub-types (require additionalProperties): "queue", "oven", "conveyor" - - Flow sub-types (set subType only; leave equation as ""): "discreteOutflow", "conveyorLeakage", "queueOutflow", "queueOverflow" - * additionalProperties holds sub-type-specific configuration (all values are equation strings unless noted): - - conveyor / oven: {processTime (required), capacity?, inflowLimit?, fillTime? (oven only), cleanTime? (oven only), sample?, arrest?} - - conveyorLeakage: {leakFraction? (units 1/time_unit when exponential, dimensionless otherwise), exponential? (boolean, default true — almost always use exponential; only false when explicitly requested), leakZoneStart?, leakZoneEnd?, leakIntegers? (boolean), ignorePrevZones? (boolean), forceLeakFraction? (boolean)} - - queue: {fifoEnabled? (boolean), oneAtATime? (boolean), splitBatches? (boolean), discrete? (boolean), roundRobin? (boolean), queueOutflowPriority?, purgeEq?, overflow? (boolean)} - - inflow to a conveyor (regular flow): {spreadFlow? ("none"|"even"|"destination"|"distribution"|"source"), distribEq? (required when spreadFlow="distribution")} - * For ADD operation: Array of variable objects - Example: [{name: "Population", type: "stock", equation: "1000"}, {name: "births", type: "flow", equation: "Population*0.1"}] - Discrete example: [{name: "work queue", type: "stock", subType: "queue", additionalProperties: {fifoEnabled: true}}, {name: "work outflow", type: "flow", subType: "queueOutflow", equation: ""}] - * For UPDATE operation: Array of variable objects, each with name field (required) and fields to update. - To update additionalProperties, provide the complete additionalProperties object (it replaces the existing one). - Example: [{name: "Population", equation: "2000"}, {name: "births", type: "flow", equation: "Population*0.1"}] - Discrete example: [{name: "work queue", additionalProperties: {fifoEnabled: true, overflow: true}}] - * For REMOVE operation: Array of variable name strings - Example: ["Population", "births", "deaths"] -- relationships: Add, update, or remove relationships. - * Relationship Schema: {from, to, polarity (+|-|""), reasoning?, polarityReasoning?} - * For ADD operation: Array of relationship objects - Example: [{from: "births", to: "Population", polarity: "+"}, {from: "deaths", to: "Population", polarity: "-"}] - * For UPDATE operation: Single relationship object with from and to fields (required to identify which relationship to update) - Example: {from: "births", to: "Population", polarity: "+", reasoning: "More births increase population"} - * For REMOVE operation: Array of {from, to} objects identifying relationships to remove - Example: [{from: "births", to: "Population"}, {from: "deaths", to: "Population"}] -- modules: Add, update, or remove modules. - * Module Schema: {name, parentModule} where parentModule is null for root modules or a string module name for child modules - * For ADD operation: Array of module objects - Example: [{name: "Demographics", parentModule: null}, {name: "Births", parentModule: "Demographics"}] - * For UPDATE operation: Complete array of all module objects (replaces entire module hierarchy) - Example: [{name: "Demographics", parentModule: null}, {name: "Births", parentModule: "Demographics"}] - * For REMOVE operation: Array of module name strings - Example: ["Births", "Deaths"] - * IMPORTANT: Modules array only defines hierarchy, NOT contents. Variable membership is by name prefix. - -VARIABLE RENAMING: -- To rename a variable, use update operation with {name: "OldName", newName: "NewName"} -- The tool will automatically update ALL equations that reference the old variable name -- This includes equations in ALL variables across ALL modules, arrayEquations, and equation-valued additionalProperties fields (processTime, capacity, leakFraction, purgeEq, etc.) -- References are updated case-insensitively using XMILE format (with underscores) + const sessionTempDir = sessionManager.getSessionTempDir(sessionId); + const modelPath = join(sessionTempDir, 'model.sdjson'); -CRITICAL MODULE RULES: -- Variable names use ONLY their immediate owning module as prefix: "ModuleName.variableName" -- NEVER use full hierarchy path in variable names (WRONG: "Company.Sales.revenue", CORRECT: "Sales.revenue") -- Variables are qualified ONLY by their direct parent module, never by ancestor modules -- Cross-module references require ghost variables: use "crossLevelGhostOf" field pointing to source variable -- Ghost variables have empty equation field (equation = "") + if (!existsSync(modelPath)) { + return createErrorResponse('Error: Model file not found. Call get_current_model to get it.'); + } -CRITICAL EQUATION RULES: -- XMILE naming: Replace all spaces with underscores in variable references (e.g., "birth_rate" not "birth rate") -- Every variable MUST have either 'equation' OR 'arrayEquations' (never both, never neither) -- NEVER embed numerical constants directly in equations - create separate named variables for constants -- Stock-flow constraint: A flow can NEVER appear in BOTH inflows AND outflows of the same stock + const modelContent = readFileSync(modelPath, 'utf-8'); + const model = JSON.parse(modelContent); -CRITICAL ARRAY RULES: -- Array dimensions MUST be defined in specs.arrayDimensions BEFORE being referenced by variables -- Each dimension requires ALL FOUR fields: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), elements (array of element names) -- For arrayed variables, set "dimensions" field to array of dimension names that reference specs.arrayDimensions -- If all elements use SAME formula: provide 'equation' only -- If elements have DIFFERENT formulas: provide 'arrayEquations' for ALL elements (omit 'equation') -- For arrayed STOCKS: ALWAYS use 'arrayEquations' to specify initial values for each element -- SUM function syntax: ALWAYS use asterisk (*) for dimension being summed, NEVER the dimension name - * WRONG: SUM(Revenue[region]) - * CORRECT: SUM(Revenue[*]) - * CRITICAL: Every SUM equation MUST contain at least one asterisk (*) - -CRITICAL SUBTYPE RULES: -- Use sub-types ONLY when the model already has discrete-entity semantics or the user explicitly requests them — they add significant complexity -- Stock sub-types: set 'subType' AND 'additionalProperties'; 'equation' is still the initial value (like a regular stock) - * 'queue': additionalProperties: {fifoEnabled?, oneAtATime?, splitBatches?, discrete?, roundRobin?, queueOutflowPriority?, purgeEq?, overflow?} - * 'oven': additionalProperties: {processTime (required), capacity?, inflowLimit?, fillTime?, cleanTime?, sample?, arrest?} - * 'conveyor': additionalProperties: {processTime (required), capacity?, inflowLimit?, sample?, arrest?} -- Flow sub-types: set 'subType' only; leave 'equation' as "" (automatically computed, do NOT write an equation) - * 'discreteOutflow': the output flow from a conveyor or oven (entities that completed full transit) - * 'conveyorLeakage': early-exit flow from a conveyor. additionalProperties: {leakFraction (required, units 1/time_unit when exponential; dimensionless otherwise), exponential? (default true — almost always use exponential; only set false when explicitly requested), leakZoneStart?, leakZoneEnd?, leakIntegers?, ignorePrevZones?, forceLeakFraction?} - * 'queueOutflow': the output flow from a queue - * 'queueOverflow': overflow from a full queue — requires overflow: true on the queue's additionalProperties -- Regular flows entering a conveyor may set additionalProperties: {spreadFlow? ('none'|'even'|'destination'|'distribution'|'source'), distribEq? (required when spreadFlow='distribution')} -- SETTINGS go in 'additionalProperties', NEVER embed them in equations -- RELATIONSHIPS: every variable referenced in an additionalProperties expression REQUIRES a relationship arrow FROM that variable TO the element -- CONVEYOR WIRING: - * Every conveyorLeakage flow MUST appear in the outflows of its source conveyor AND in the inflows of its destination - * NEVER split a conveyor outflow using auxiliary arithmetic — route directly to one destination - * Use conveyor (not plain stock) when entities must spend a minimum/fixed duration in a stage - * Use plain stock when residence time is exponentially distributed (first-order delay) - -After editing, the model is validated and processed through the quantitative engine pipeline before updating the client.`, - supportedModes: ['sfd', 'cld'], - minModelTokens: config.agentTargetedEditingMinimum, - inputSchema: z.object({ - section: z.enum(['specs', 'variables', 'relationships', 'modules']).describe('Which section to edit'), - operation: z.enum(['update', 'add', 'remove']).describe('Operation to perform'), - data: z.union([ - // For specs update - object with optional spec fields - z.object(simSpecsBase).partial(), - // For variables add - array of variables - z.array(z.object(variableBase)), - // For variables update - array of variable objects with name (required) - z.array(z.object({ - ...variableBase, - newName: z.string().describe(LLMWrapper.SCHEMA_STRINGS.name).optional() - }).partial().required({ name: true })), - // For variables remove - array of strings - z.array(z.string()), - // For relationships add - array of relationships - z.array(z.object(relationshipBase)), - // For relationships update - single relationship object with from/to (required) - z.object(relationshipBase).partial().required({ from: true, to: true }), - // For relationships remove - array of {from, to} objects - z.array(z.object({ - from: z.string(), - to: z.string() - })), - // For modules add/update - array of modules - z.array(LLMWrapper.moduleSchema()) - ]).describe('The data for the operation. Format depends on section and operation - see description for details.') - }), - handler: async ({ section, operation, data }) => { - // Centralized error handler - const handleError = (errorMessage, error = null) => { - return createErrorResponse(errorMessage, error); - }; - - // Variable names are stored with spaces; equations use underscores. - // Normalize any underscore-style names the AI sends back to space-style. - const normName = n => typeof n === 'string' ? n.replace(/_/g, ' ') : n; - // Case-insensitive, space=underscore normalizer for search comparisons only. - const normSearch = s => typeof s === 'string' ? s.toLowerCase().replace(/[ _]/g, '_') : s; + const mutationError = mutate(model); + if (mutationError) { + return createErrorResponse(mutationError); + } - try { - const session = sessionManager.getSession(sessionId); - if (!session) { - throw new Error(`Session not found: ${sessionId}`); + if (!model.variables || !Array.isArray(model.variables)) { + return createErrorResponse('Model validation failed: model.variables must be an array.'); + } + + if (!model.relationships || !Array.isArray(model.relationships)) { + return createErrorResponse('Model validation failed: model.relationships must be an array.'); + } + + const updateRequestId = generateRequestId('model'); + await sendToClient(createUpdateModelMessage(sessionId, updateRequestId, model)); + + const updatePromise = new Promise((resolve, reject) => { + const timeout = setTimeout(() => { + reject(new Error('Update model timeout: Client did not respond within 30 seconds')); + }, 30000); + + if (!session.pendingModelRequests) { + session.pendingModelRequests = new Map(); + } + session.pendingModelRequests.set(updateRequestId, { resolve, reject, timeout }); + }); + + const clientResult = await updatePromise; + const parsed = UpdateModelResponseSchema.parse(clientResult); + + const { issues } = sessionManager.updateClientModel(sessionId, parsed); + + return createSuccessResponse({ + message: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.`, + ...(issues && { issues }) + }); +} + +function specsMutator(data) { + return (model) => { + model.specs = model.specs || {}; + if (data.startTime !== undefined) model.specs.startTime = data.startTime; + if (data.stopTime !== undefined) model.specs.stopTime = data.stopTime; + if (data.dt !== undefined) model.specs.dt = data.dt; + if (data.timeUnits !== undefined) model.specs.timeUnits = data.timeUnits; + + if (data.arrayDimensions !== undefined) { + if (Array.isArray(data.arrayDimensions)) { + for (const dim of data.arrayDimensions) { + if (!dim.type || !dim.name || dim.size === undefined || !Array.isArray(dim.elements)) { + return `Error: Array dimension "${dim.name || 'unknown'}" is missing required fields. All dimensions must have: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), and elements (array of element names).`; + } + if (dim.type !== 'numeric' && dim.type !== 'labels') { + return `Error: Array dimension "${dim.name}" has invalid type "${dim.type}". Must be "numeric" or "labels".`; + } + if (typeof dim.size !== 'number' || dim.size <= 0) { + return `Error: Array dimension "${dim.name}" size must be a positive integer, got: ${dim.size}`; + } + if (dim.elements.length !== dim.size) { + return `Error: Array dimension "${dim.name}" has size=${dim.size} but elements array has ${dim.elements.length} items. They must match.`; + } + } + } + model.specs.arrayDimensions = data.arrayDimensions; + } + return null; + }; +} + +function variablesMutator(operation, data) { + return (model) => { + model.variables = model.variables || []; + if (operation === 'add') { + if (!Array.isArray(data)) { + return 'Error: For add operation, data must be an array of variable objects. Example: [{name: "var1", type: "stock", equation: "100"}]'; + } + for (const v of data) { if (v.name) v.name = normName(v.name); } + const errors = []; + for (let i = 0; i < data.length; i++) { + const v = data[i]; + const varLabel = data.length > 1 ? `Variable ${i + 1} (${v.name || 'unnamed'})` : `Variable "${v.name || 'unnamed'}"`; + + if (!v.name || !v.type) { + errors.push(`${varLabel}: Missing required fields. Must have "name" and "type".`); + } else if (!['stock', 'flow', 'variable'].includes(v.type)) { + errors.push(`${varLabel}: Invalid type "${v.type}". Must be "stock", "flow", or "variable".`); } + } - const sessionTempDir = sessionManager.getSessionTempDir(sessionId); - const modelPath = join(sessionTempDir, 'model.sdjson'); + if (errors.length > 0) { + return `Error adding ${data.length} variable(s):\n\n${errors.join('\n')}\n\nProvide an array of variable objects: [{name: "var1", type: "stock", equation: "100"}, {name: "var2", type: "variable", equation: "20"}]`; + } - if (!existsSync(modelPath)) { - return handleError('Error: Model file not found. Call get_current_model to get it.'); + model.variables.push(...data); + } else if (operation === 'update') { + if (!Array.isArray(data)) { + return 'Error: For update operation, data must be an array of variable objects. Example: [{name: "Population", equation: "2000"}]'; + } + for (const update of data) { + const varName = normName(update.name); + update.name = varName; + if (update.newName) update.newName = normName(update.newName); + if (!varName) { + return 'Error: Must specify "name" field to update a variable'; } + const index = model.variables.findIndex(v => normSearch(v.name) === normSearch(varName)); + if (index >= 0) { + const oldVariable = model.variables[index]; + const oldName = oldVariable.name; - const modelContent = readFileSync(modelPath, 'utf-8'); - const model = JSON.parse(modelContent); + const isRenamed = update.newName && update.newName !== oldName; - // Perform the edit operation - switch (section) { - case 'specs': - if (operation === 'update') { - model.specs = model.specs || {}; - if (data.startTime !== undefined) model.specs.startTime = data.startTime; - if (data.stopTime !== undefined) model.specs.stopTime = data.stopTime; - if (data.dt !== undefined) model.specs.dt = data.dt; - if (data.timeUnits !== undefined) model.specs.timeUnits = data.timeUnits; - - if (data.arrayDimensions !== undefined) { - if (Array.isArray(data.arrayDimensions)) { - for (const dim of data.arrayDimensions) { - if (!dim.type || !dim.name || dim.size === undefined || !Array.isArray(dim.elements)) { - return handleError(`Error: Array dimension "${dim.name || 'unknown'}" is missing required fields. All dimensions must have: type ("numeric" or "labels"), name (singular, alphanumeric), size (positive integer), and elements (array of element names).`); - } - if (dim.type !== 'numeric' && dim.type !== 'labels') { - return handleError(`Error: Array dimension "${dim.name}" has invalid type "${dim.type}". Must be "numeric" or "labels".`); - } - if (typeof dim.size !== 'number' || dim.size <= 0) { - return handleError(`Error: Array dimension "${dim.name}" size must be a positive integer, got: ${dim.size}`); - } - if (dim.elements.length !== dim.size) { - return handleError(`Error: Array dimension "${dim.name}" has size=${dim.size} but elements array has ${dim.elements.length} items. They must match.`); - } - } - } - model.specs.arrayDimensions = data.arrayDimensions; - } - } - break; + if (isRenamed) { + const newName = update.newName; + const oldNameXMILE = oldName.replace(/ /g, '_'); + const newNameXMILE = newName.replace(/ /g, '_'); - case 'variables': - model.variables = model.variables || []; - if (operation === 'add') { - // Data must be an array of variable objects - if (!Array.isArray(data)) { - return handleError('Error: For variables add operation, data must be an array of variable objects. Example: [{name: "var1", type: "stock", equation: "100"}]'); - } - const varsToAdd = data; - for (const v of varsToAdd) { if (v.name) v.name = normName(v.name); } - const errors = []; - for (let i = 0; i < varsToAdd.length; i++) { - const v = varsToAdd[i]; - const varLabel = varsToAdd.length > 1 ? `Variable ${i + 1} (${v.name || 'unnamed'})` : `Variable "${v.name || 'unnamed'}"`; - - if (!v.name || !v.type) { - errors.push(`${varLabel}: Missing required fields. Must have "name" and "type".`); - } else if (!['stock', 'flow', 'variable'].includes(v.type)) { - errors.push(`${varLabel}: Invalid type "${v.type}". Must be "stock", "flow", or "variable".`); - } - } + const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); - if (errors.length > 0) { - return handleError(`Error adding ${varsToAdd.length} variable(s):\n\n${errors.join('\n')}\n\nProvide an array of variable objects: [{name: "var1", type: "stock", equation: "100"}, {name: "var2", type: "variable", equation: "20"}]`); + for (const variable of model.variables) { + if (variable.equation && varRegex.test(variable.equation)) { + variable.equation = variable.equation.replace(varRegex, newNameXMILE); } - model.variables.push(...varsToAdd); - } else if (operation === 'update') { - if (!Array.isArray(data)) { - return handleError('Error: For variables update operation, data must be an array of variable objects. Example: [{name: "Population", equation: "2000"}]'); - } - for (const update of data) { - const varName = normName(update.name); - update.name = varName; - if (update.newName) update.newName = normName(update.newName); - if (!varName) { - return handleError('Error: Must specify "name" field to update a variable'); - } - const index = model.variables.findIndex(v => normSearch(v.name) === normSearch(varName)); - if (index >= 0) { - const oldVariable = model.variables[index]; - const oldName = oldVariable.name; - - const isRenamed = update.newName && update.newName !== oldName; - - if (isRenamed) { - const newName = update.newName; - const oldNameXMILE = oldName.replace(/ /g, '_'); - const newNameXMILE = newName.replace(/ /g, '_'); - - const varRegex = new RegExp(`\\b${oldNameXMILE.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi'); - - for (const variable of model.variables) { - if (variable.equation && varRegex.test(variable.equation)) { - variable.equation = variable.equation.replace(varRegex, newNameXMILE); - } - - if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { - for (const ae of variable.arrayEquations) { - if (ae.equation && varRegex.test(ae.equation)) { - ae.equation = ae.equation.replace(varRegex, newNameXMILE); - } - } - } - - if (variable.additionalProperties && typeof variable.additionalProperties === 'object') { - for (const [key, val] of Object.entries(variable.additionalProperties)) { - if (typeof val === 'string' && varRegex.test(val)) { - variable.additionalProperties[key] = val.replace(varRegex, newNameXMILE); - } - } - } - } - - update.name = newName; - delete update.newName; + if (variable.arrayEquations && Array.isArray(variable.arrayEquations)) { + for (const ae of variable.arrayEquations) { + if (ae.equation && varRegex.test(ae.equation)) { + ae.equation = ae.equation.replace(varRegex, newNameXMILE); } - - model.variables[index] = { ...model.variables[index], ...update }; - } else { - return handleError(`Error: Variable "${varName}" not found`); } } - } else if (operation === 'remove') { - if (!Array.isArray(data)) { - return handleError('Error: For variables remove operation, data must be an array of variable name strings. Example: ["var1", "var2"]'); - } - const normalizedRemoveNames = data.map(n => normSearch(n)); - model.variables = model.variables.filter(v => !normalizedRemoveNames.includes(normSearch(v.name))); - } - break; - case 'relationships': - model.relationships = model.relationships || []; - if (operation === 'add') { - if (!Array.isArray(data)) { - return handleError('Error: For relationships add operation, data must be an array of relationship objects. Example: [{from: "var1", to: "var2", polarity: "+"}]'); - } - const relsToAdd = data; - for (const r of relsToAdd) { - r.from = normName(r.from); - r.to = normName(r.to); - if (!r.from || !r.to) { - return handleError('Error: Relationships must have "from" and "to" fields'); - } - if (r.polarity !== undefined && !['+', '-'].includes(r.polarity)) { - return handleError(`Error: Relationship polarity must be "+" or "-", got "${r.polarity}"`); + if (variable.additionalProperties && typeof variable.additionalProperties === 'object') { + for (const [key, val] of Object.entries(variable.additionalProperties)) { + if (typeof val === 'string' && varRegex.test(val)) { + variable.additionalProperties[key] = val.replace(varRegex, newNameXMILE); + } } } - model.relationships.push(...relsToAdd); - } else if (operation === 'update') { - data.from = normName(data.from); - data.to = normName(data.to); - if (!data.from || !data.to) { - return handleError('Error: Must specify "from" and "to" fields to update a relationship'); - } - const index = model.relationships.findIndex(r => normSearch(r.from) === normSearch(data.from) && normSearch(r.to) === normSearch(data.to)); - if (index >= 0) { - model.relationships[index] = { ...model.relationships[index], ...data }; - } else { - return handleError(`Error: Relationship from "${data.from}" to "${data.to}" not found`); - } - } else if (operation === 'remove') { - if (!Array.isArray(data)) { - return handleError('Error: For relationships remove operation, data must be an array of {from, to} objects. Example: [{from: "var1", to: "var2"}]'); - } - model.relationships = model.relationships.filter(r => - !data.some(rem => normSearch(rem.from) === normSearch(r.from) && normSearch(rem.to) === normSearch(r.to)) - ); } - break; - case 'modules': - model.modules = model.modules || []; - if (operation === 'update') { - if (!Array.isArray(data)) { - return handleError('Error: For modules update operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'); - } - for (const m of data) { - m.name = normName(m.name); - if (!m.name || m.parentModule === undefined) { - return handleError('Error: Modules must have "name" and "parentModule" fields'); - } - } - model.modules = data; - } else if (operation === 'add') { - if (!Array.isArray(data)) { - return handleError('Error: For modules add operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'); - } - for (const m of data) { - m.name = normName(m.name); - if (!m.name || m.parentModule === undefined) { - return handleError('Error: Modules must have "name" and "parentModule" fields'); - } - } - model.modules.push(...data); - } else if (operation === 'remove') { - if (!Array.isArray(data)) { - return handleError('Error: For modules remove operation, data must be an array of module name strings. Example: ["Module1", "Module2"]'); - } - const normalizedRemoveModules = data.map(n => normSearch(n)); - model.modules = model.modules.filter(m => !normalizedRemoveModules.includes(normSearch(m.name))); - } - break; + update.name = newName; + delete update.newName; + } + + model.variables[index] = { ...model.variables[index], ...update }; + } else { + return `Error: Variable "${varName}" not found`; } + } + } else if (operation === 'remove') { + if (!Array.isArray(data)) { + return 'Error: For remove operation, data must be an array of objects with name. Example: [{name: "var1"}, {name: "var2"}]'; + } + const normalizedRemoveNames = data.map(item => normSearch(item?.name)); + model.variables = model.variables.filter(v => !normalizedRemoveNames.includes(normSearch(v.name))); + } + return null; + }; +} - const mode = session.mode; +function relationshipsMutator(operation, data) { + return (model) => { + model.relationships = model.relationships || []; + if (!Array.isArray(data)) { + return `Error: For ${operation} operation, data must be an array of relationship objects. Example: [{from: "var1", to: "var2", polarity: "+"}]`; + } + for (const r of data) { + r.from = normName(r.from); + r.to = normName(r.to); + if (!r.from || !r.to) { + return 'Error: Relationships must have "from" and "to" fields'; + } + } - if (mode !== 'sfd') { - return handleError('Error: Model editing is only supported for quantitative (SFD) models'); + if (operation === 'add') { + for (const r of data) { + if (r.polarity !== undefined && !['+', '-'].includes(r.polarity)) { + return `Error: Relationship polarity must be "+" or "-", got "${r.polarity}"`; } - - if (!model.variables || !Array.isArray(model.variables)) { - return handleError('Model validation failed: model.variables must be an array.'); + } + model.relationships.push(...data); + } else if (operation === 'update') { + for (const update of data) { + const index = model.relationships.findIndex(r => normSearch(r.from) === normSearch(update.from) && normSearch(r.to) === normSearch(update.to)); + if (index >= 0) { + model.relationships[index] = { ...model.relationships[index], ...update }; + } else { + return `Error: Relationship from "${update.from}" to "${update.to}" not found`; } + } + } else if (operation === 'remove') { + model.relationships = model.relationships.filter(r => + !data.some(rem => normSearch(rem.from) === normSearch(r.from) && normSearch(rem.to) === normSearch(r.to)) + ); + } + return null; + }; +} - if (!model.relationships || !Array.isArray(model.relationships)) { - return handleError('Model validation failed: model.relationships must be an array.'); +function modulesMutator(operation, data) { + return (model) => { + model.modules = model.modules || []; + if (operation === 'update') { + if (!Array.isArray(data)) { + return 'Error: For update operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'; + } + for (const m of data) { + m.name = normName(m.name); + if (!m.name || m.parentModule === undefined) { + return 'Error: Modules must have "name" and "parentModule" fields'; } + } + model.modules = data; + } else if (operation === 'add') { + if (!Array.isArray(data)) { + return 'Error: For add operation, data must be an array of module objects. Example: [{name: "Module1", parentModule: null}]'; + } + for (const m of data) { + m.name = normName(m.name); + if (!m.name || m.parentModule === undefined) { + return 'Error: Modules must have "name" and "parentModule" fields'; + } + } + model.modules.push(...data); + } else if (operation === 'remove') { + if (!Array.isArray(data)) { + return 'Error: For remove operation, data must be an array of objects with name. Example: [{name: "Module1"}, {name: "Module2"}]'; + } + const normalizedRemoveModules = data.map(item => normSearch(item?.name)); + model.modules = model.modules.filter(m => !normalizedRemoveModules.includes(normSearch(m.name))); + } + return null; + }; +} - const updateRequestId = generateRequestId('model'); - await sendToClient(createUpdateModelMessage(sessionId, updateRequestId, model)); +/** + * Edit variables: add, update (including rename), or remove. + */ +export function createEditVariablesTool(sessionManager, sessionId, sendToClient) { + return { + description: `Edit the variables section of the model. data is always an array of variable objects. Every object must include 'name'. Other fields are interpreted by operation: - const updatePromise = new Promise((resolve, reject) => { - const timeout = setTimeout(() => { - reject(new Error('Update model timeout: Client did not respond within 30 seconds')); - }, 30000); +- add: every object must also include 'type' (stock|flow|variable); other fields populate the new variable +- update: 'name' locates the existing variable; the other fields you include replace those values. To rename, also pass 'newName' — the tool then rewrites ALL references to the old name across every equation, arrayEquations entry, and equation-valued additionalProperties field (processTime, capacity, leakFraction, purgeEq, etc.) in every variable across every module, matching case-insensitively in XMILE format (with underscores). To change additionalProperties, provide the COMPLETE replacement object. +- remove: only 'name' is read; all other fields are ignored - if (!session.pendingModelRequests) { - session.pendingModelRequests = new Map(); - } - session.pendingModelRequests.set(updateRequestId, { resolve, reject, timeout }); +CRITICAL EQUATION RULES: +- XMILE naming: replace spaces with underscores in variable references inside equations ("birth_rate" not "birth rate") +- Every variable MUST have either 'equation' OR 'arrayEquations' (never both, never neither). For arrayed STOCKS, always use arrayEquations to give per-element initial values. +- NEVER embed numerical constants directly in equations — create separate named variables for constants +- Stock-flow constraint: a flow can NEVER appear in BOTH inflows AND outflows of the same stock +- SUM function syntax: always use asterisk for the dimension being summed, e.g. SUM(Revenue[*]) — every SUM equation must contain at least one * + +CRITICAL MODULE RULES: +- Variable names use ONLY the immediate owning module as a prefix: "ModuleName.variableName" +- NEVER use the full hierarchy path in a variable name (WRONG: "Company.Sales.revenue", CORRECT: "Sales.revenue") +- Cross-module references require ghost variables: set crossLevelGhostOf to the source variable name, leave equation empty + +CRITICAL ARRAY RULES: +- Array dimensions must be defined in specs.arrayDimensions BEFORE any variable references them (use edit_specs first) +- For arrayed variables, set 'dimensions' to the list of dimension names that exist in specs.arrayDimensions +- If all elements share one formula, provide 'equation' only; if elements differ, provide 'arrayEquations' for every element and leave 'equation' empty + +CRITICAL SUBTYPE RULES (queue/oven/conveyor/leakage/discreteOutflow/queueOutflow/queueOverflow): +- Use sub-types ONLY when the model already has discrete-entity semantics or the user explicitly requests them — they add significant complexity +- Stock sub-types: set subType AND additionalProperties; equation is still the initial value (like a regular stock) +- Flow sub-types: set subType only and leave equation as "" — the flow is computed automatically, do NOT write an equation +- All sub-type settings (processTime, capacity, leakFraction, etc.) go in additionalProperties, NEVER embedded in equations +- Every variable referenced in an additionalProperties equation REQUIRES a relationship arrow FROM that variable TO the element +- CONVEYOR WIRING: every conveyorLeakage flow MUST appear in the outflows of its source conveyor AND in the inflows of its destination. NEVER split a conveyor outflow with auxiliary arithmetic — route directly to one destination. +- queueOverflow flows require overflow: true on the queue's additionalProperties +- Use conveyor (not plain stock) when entities must spend a minimum/fixed duration in a stage; use a plain stock when residence time is exponentially distributed (first-order delay) + +After editing, the model is validated and sent to the client for processing before the session state is updated.`, + supportedModes: ['sfd', 'cld'], + minModelTokens: config.agentTargetedEditingMinimum, + inputSchema: z.object({ + operation: z.enum(['add', 'update', 'remove']).describe('Operation to perform'), + data: z.array(z.object({ + ...variableBase, + newName: z.string().describe(LLMWrapper.SCHEMA_STRINGS.name).optional() + }).partial().required({ name: true })).describe('Array of variable objects. Each requires name; for add also requires type; for update fields you include replace those values (pass newName to rename); for remove only name is read.') + }), + handler: async ({ operation, data }) => { + try { + return await applyEdit({ + sessionManager, sessionId, sendToClient, + section: 'variables', operation, + mutate: variablesMutator(operation, data) + }); + } catch (error) { + return createErrorResponse(`Failed to edit variables: ${error.message}`, error); + } + } + }; +} + +/** + * Edit relationships: add, update, or remove. + */ +export function createEditRelationshipsTool(sessionManager, sessionId, sendToClient) { + return { + description: `Edit the relationships section of the model. A relationship is a causal arrow from one variable to another with a polarity (+ or -). data is always an array of relationship objects. Each object must include 'from' and 'to'. Other fields are interpreted by operation: + +- add: include polarity and (optionally) reasoning/polarityReasoning for each new relationship +- update: 'from' and 'to' locate the existing relationship; other fields you include replace those values +- remove: only 'from' and 'to' are read; other fields are ignored + +CRITICAL: Every variable referenced inside an additionalProperties equation on a discrete-entity element (e.g. processTime, capacity, leakFraction, purgeEq, queueOutflowPriority) REQUIRES a relationship arrow FROM that referenced variable TO the element.`, + supportedModes: ['sfd', 'cld'], + minModelTokens: config.agentTargetedEditingMinimum, + inputSchema: z.object({ + operation: z.enum(['add', 'update', 'remove']).describe('Operation to perform'), + data: z.array( + z.object(relationshipBase).partial().required({ from: true, to: true }) + ).describe('Array of relationship objects. Each requires from and to; for add also requires polarity; for update fields you include replace those values; for remove only from and to are read.') + }), + handler: async ({ operation, data }) => { + try { + return await applyEdit({ + sessionManager, sessionId, sendToClient, + section: 'relationships', operation, + mutate: relationshipsMutator(operation, data) }); + } catch (error) { + return createErrorResponse(`Failed to edit relationships: ${error.message}`, error); + } + } + }; +} - const clientResult = await updatePromise; - const parsed = UpdateModelResponseSchema.parse(clientResult); +/** + * Edit simulation specs (startTime, stopTime, dt, timeUnits, arrayDimensions). + */ +export function createEditSpecsTool(sessionManager, sessionId, sendToClient) { + return { + description: `Update the simulation specs (startTime, stopTime, dt, timeUnits, arrayDimensions). Only fields you include in data are changed; omitted fields keep their current values. - const { issues } = sessionManager.updateClientModel(sessionId, parsed); +CRITICAL: When updating arrayDimensions, provide the COMPLETE array — it replaces the entire arrayDimensions list. Each dimension requires all four fields (type, name, size, elements) and elements.length MUST equal size. Define dimensions here BEFORE any variable references them via its 'dimensions' field.`, + supportedModes: ['sfd', 'cld'], + minModelTokens: config.agentTargetedEditingMinimum, + inputSchema: z.object({ + data: z.object(simSpecsBase).partial().describe('Spec fields to update. Only included fields are changed.') + }), + handler: async ({ data }) => { + try { + return await applyEdit({ + sessionManager, sessionId, sendToClient, + section: 'specs', operation: 'update', + mutate: specsMutator(data) + }); + } catch (error) { + return createErrorResponse(`Failed to edit specs: ${error.message}`, error); + } + } + }; +} - return createSuccessResponse({ - message: `Successfully edited ${section} section (${operation} operation). The model has been validated, processed, and sent to the client.`, - ...(issues && { issues }) +/** + * Edit modules: add, update (replace entire hierarchy), or remove. + */ +export function createEditModulesTool(sessionManager, sessionId, sendToClient) { + return { + description: `Edit the module hierarchy. data is always an array of module objects. Each object must include 'name'. Other fields are interpreted by operation: + +- add: include 'parentModule' (string parent name, or null for a root module) +- update: data is the COMPLETE replacement array — every module you want kept must be present with its parentModule; modules omitted are dropped +- remove: only 'name' is read; other fields are ignored + +IMPORTANT: The modules array only defines the hierarchical structure. It does NOT control which variables belong to a module — variable membership is determined by the variable name prefix ("Finance.revenue" belongs to Finance). To move a variable between modules, edit the variable's name via edit_variables (operation: update, newName: "NewModule.variableName").`, + supportedModes: ['sfd', 'cld'], + minModelTokens: config.agentTargetedEditingMinimum, + inputSchema: z.object({ + operation: z.enum(['add', 'update', 'remove']).describe('Operation to perform'), + data: z.array( + LLMWrapper.moduleSchema().partial().required({ name: true }) + ).describe('Array of module objects. Each requires name; for add/update also include parentModule; for remove only name is read.') + }), + handler: async ({ operation, data }) => { + try { + return await applyEdit({ + sessionManager, sessionId, sendToClient, + section: 'modules', operation, + mutate: modulesMutator(operation, data) }); } catch (error) { - return handleError(`Failed to edit model section: ${error.message}`, error); + return createErrorResponse(`Failed to edit modules: ${error.message}`, error); } } }; diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index 2cc26c69..b686ff99 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -11,7 +11,7 @@ import logger from '../../utilities/logger.js'; * - NO filesystem writes - all modifications in memory only */ export class AgentConfigurationManager { - static UNIVERSAL_AGENT_INSTRUCTIONS = + static UNIVERSAL_AGENT_INSTRUCTIONS = `# System Dynamics Modeling Assistant ## CRITICAL: Text Generation @@ -24,15 +24,31 @@ Each session works with ONE model type: either CLD (Causal Loop Diagram) or SFD The model type is set at session initialization and CANNOT be changed. NEVER switch between CLD and SFD during a session. -## CRITICAL: CLD vs SFD - Behavior and Visualization -**CLDs (Causal Loop Diagrams) are QUALITATIVE ONLY:** -- CLDs show causal structure and feedback loops but have NO quantitative behavior -- NEVER run simulations on CLDs (no run_model, no get_variable_data) -- NEVER create visualizations for CLDs (no create_visualization) -- CLDs are for conceptual exploration and understanding causal relationships only -- CLDs help identify feedback loop structure before building quantitative models +## CRITICAL: Feedback Loop Analysis and Model Understanding +**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** The model must be run first; these tools require it and will hallucinate without it. + +- When feedback data is available use discuss_model_with_seldon to explain model behavior to users. + +## CRITICAL: Never Directly Edit model.sdjson +NEVER directly modify model.sdjson on disk by any means. +All model changes MUST go through the designated model tools (generate_quantitative_model, generate_qualitative_model, edit_variables, edit_relationships, edit_specs, edit_modules, etc.). +Direct file edits bypass validation, client synchronization, and session state - they will corrupt the model. -**SFDs (Stock Flow Diagrams) are QUANTITATIVE:** +## CRITICAL: Automatic Model Validation +After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model, edit_variables, edit_relationships, edit_specs, edit_modules), you MUST: +1. Immediately use get_current_model to retrieve the updated model +2. Check that returned model for errors and warnings +3. If ERRORS are present: You MUST fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. +4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. +5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed. + +## Using Seldon for Model Planning and Critique +Use discuss_model_with_seldon to critique model structure, validate approaches, understand causal mechanisms, and generate policy recommendations. Consult Seldon when facing complex modeling decisions. Always share feedback loop information with Seldon in all its forms. +`; + + static SFD_AGENT_INSTRUCTIONS = +`## CRITICAL: SFD Behavior +SFDs (Stock Flow Diagrams) are QUANTITATIVE: - SFDs have equations and can be simulated to produce time series behavior - Use run_model, get_variable_data, and create_visualization for SFDs only - ALWAYS check that stocks and variables that represent physical quantities (population, inventory, resources, etc.) cannot go negative @@ -44,10 +60,24 @@ NEVER switch between CLD and SFD during a session. - Use XMILE builtin function names: SMTH1, SMTH3, DELAY1, DELAY3, etc. — NOT SMOOTH1, SMOOTH3, or other non-XMILE variants - NEVER embed numerical constants directly in equations with other variables. ALWAYS create separate named variables for all constants. -## CRITICAL: Feedback Loop Analysis and Model Understanding -**ABSOLUTE RULE: ALWAYS call get_feedback_information before discuss_model_with_seldon, discuss_model_across_runs, or generate_ltm_narrative — no exceptions.** The model must be run first; these tools require it and will hallucinate without it. +## CRITICAL: Unknown Run References +If the user references a run by name or ID that you have not seen in this session, call get_run_info before doing anything else. Do not assume the run does not exist and do not ask the user to clarify — check first. -- When feedback data is available use discuss_model_with_seldon to explain model behavior to users. +## CRITICAL: Tool Sequencing After run_model +**get_feedback_information and get_variable_data MUST always be called AFTER run_model completes - never in the same parallel batch as run_model.** +run_model produces the data these tools depend on. Always wait for run_model to finish before calling them. + +## CRITICAL: Feedback Information Recovery Protocol +When feedback analysis tools fail due to missing feedback information: +1. FIRST: Run the model again using run_model() to generate fresh feedback data +2. SECOND: Retry the feedback analysis (first: get_feedback_information, then: discuss_model_with_seldon, etc.) +3. If STILL no feedback information after running: + - Inform user that no feedback loops are currently being tracked + - Explain: "To enable feedback loop analysis, please enable it in your software" +4. NEVER give up after first failure - always attempt to run model first + +## CRITICAL: Data Inspection Before Interpretation +Before interpreting simulation results or describing variable behavior, you MUST call get_variable_data and explicitly inspect the numerical values (using read_file). Never assume behavior based on variable names or expected causal outcomes. ## CRITICAL: Visualization Requests When a user requests a visualization: @@ -76,45 +106,20 @@ Never write, generate, or construct a data file yourself and pass it to create_v 1. Ensure get_feedback_information has already been called (feedback.json exists) 2. Pass the variable data filePath to create_visualization with options.includeFeedbackContext: true -## CRITICAL: Never Directly Edit model.sdjson -NEVER directly modify model.sdjson on disk by any means. -All model changes MUST go through the designated model tools (generate_quantitative_model, generate_qualitative_model, generate_documentation, edit_model_section, etc.). -Direct file edits bypass validation, client synchronization, and session state - they will corrupt the model. - -## CRITICAL: Automatic Model Validation -After ANY tool use that modifies the model (generate_quantitative_model, generate_qualitative_model, edit_model_section), you MUST: -1. Immediately use get_current_model to retrieve the updated model -2. Check that returned model for errors and warnings -3. If ERRORS are present: You MUST fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. -4. If WARNINGS are present: You SHOULD fix them before proceeding. Attempt to fix them yourself first. If you cannot fix them, ask the user to fix them. -5. Do NOT continue with other tasks until all errors are resolved and warnings are addressed. - -## Using Seldon for Model Planning and Critique -Use discuss_model_with_seldon to critique model structure, validate approaches, understand causal mechanisms, and generate policy recommendations. Consult Seldon when facing complex modeling decisions. Always share feedback loop information with Seldon in all its forms. - -## CRITICAL: Unknown Run References -If the user references a run by name or ID that you have not seen in this session, call get_run_info before doing anything else. Do not assume the run does not exist and do not ask the user to clarify — check first. - -## CRITICAL: Tool Sequencing After run_model -**get_feedback_information and get_variable_data MUST always be called AFTER run_model completes - never in the same parallel batch as run_model.** -run_model produces the data these tools depend on. Always wait for run_model to finish before calling them. - -## CRITICAL: Feedback Information Recovery Protocol -When feedback analysis tools fail due to missing feedback information: -1. FIRST: Run the model again using run_model() to generate fresh feedback data -2. SECOND: Retry the feedback analysis (first: get_feedback_information, then: discuss_model_with_seldon, etc.) -3. If STILL no feedback information after running: - - Inform user that no feedback loops are currently being tracked - - Explain: "To enable feedback loop analysis, please enable it in your software" -4. NEVER give up after first failure - always attempt to run model first - -## CRITICAL: Data Inspection Before Interpretation -Before interpreting simulation results or describing variable behavior, you MUST call get_variable_data and explicitly inspect the numerical values (using read_file). Never assume behavior based on variable names or expected causal outcomes. - ## Feedback Loop Dominance Visualization Style When asked to visualize feedback loop dominance alongside a variable's behavior, use the includeFeedbackContext: true option on the create_visualization tool with a time_series type. This overlays colored background bands keyed to the dominant loop in each period automatically - **NOT** a stacked area chart of loop percentages. Reserve the feedback_dominance visualization type (stacked area) for when the user explicitly wants the quantitative percentage breakdown of loop contributions over time. +`; + + static CLD_AGENT_INSTRUCTIONS = +`## CRITICAL: CLD Behavior +CLDs (Causal Loop Diagrams) are QUALITATIVE ONLY: +- CLDs show causal structure and feedback loops but have NO quantitative behavior +- NEVER run simulations on CLDs (no run_model, no get_variable_data) +- NEVER create visualizations for CLDs (no create_visualization) +- CLDs are for conceptual exploration and understanding causal relationships only +- CLDs help identify feedback loop structure before building quantitative models `; static REQUIRED_FRONTMATTER_FIELDS = ['name', 'agent_mode']; @@ -242,6 +247,13 @@ Reserve the feedback_dominance visualization type (stacked area) for when the us // Start with universal instructions let prompt = AgentConfigurationManager.UNIVERSAL_AGENT_INSTRUCTIONS; + // Add mode-specific instructions + if (mode === 'sfd') { + prompt += '\n' + AgentConfigurationManager.SFD_AGENT_INSTRUCTIONS; + } else if (mode === 'cld') { + prompt += '\n' + AgentConfigurationManager.CLD_AGENT_INSTRUCTIONS; + } + // Add model type section if specified if (mode) { prompt += `\n\n## SESSION MODEL TYPE: ${mode.toUpperCase()}`; diff --git a/tests/agent/tools/largeModelTools.test.js b/tests/agent/tools/largeModelTools.test.js index 96fef491..861e2740 100644 --- a/tests/agent/tools/largeModelTools.test.js +++ b/tests/agent/tools/largeModelTools.test.js @@ -1,4 +1,9 @@ -import { createReadModelSectionTool, createEditModelSectionTool } from '../../../agent/tools/builtin/largeModelTools.js'; +import { + createReadModelSectionTool, + createEditVariablesTool, + createEditRelationshipsTool, + createEditModulesTool +} from '../../../agent/tools/builtin/largeModelTools.js'; import { mkdtempSync, writeFileSync, rmSync } from 'fs'; import { join } from 'path'; import { tmpdir } from 'os'; @@ -256,9 +261,9 @@ describe('createReadModelSectionTool normalization', () => { }); }); -// ─── createEditModelSectionTool ─────────────────────────────────────────────── +// ─── per-section edit tools ───────────────────────────────────────────────── -describe('createEditModelSectionTool normalization', () => { +describe('per-section edit tools normalization', () => { let tempDir; let session; @@ -281,7 +286,7 @@ describe('createEditModelSectionTool normalization', () => { return { sendToClient, getModel: () => capturedModel }; } - function makeEditTool(sendToClient) { + function makeEditTools(sendToClient) { session = { mode: 'sfd', context: { supportsArrays: false, supportsModules: true, supportsSubTypes: true }, @@ -292,7 +297,11 @@ describe('createEditModelSectionTool normalization', () => { getSessionTempDir: () => tempDir, updateClientModel: () => {}, }; - return createEditModelSectionTool(sessionManager, SESSION_ID, sendToClient); + return { + variables: createEditVariablesTool(sessionManager, SESSION_ID, sendToClient), + relationships: createEditRelationshipsTool(sessionManager, SESSION_ID, sendToClient), + modules: createEditModulesTool(sessionManager, SESSION_ID, sendToClient), + }; } function resetModel(model) { @@ -306,9 +315,9 @@ describe('createEditModelSectionTool normalization', () => { it('normalizes underscore names to spaces', async () => { resetModel({ variables: [], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'add', data: [ + await tools.variables.handler({ operation: 'add', data: [ { name: 'birth_rate', type: 'variable', equation: '0.1' } ]}); @@ -318,9 +327,9 @@ describe('createEditModelSectionTool normalization', () => { it('normalizes module-qualified names', async () => { resetModel({ variables: [], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'add', data: [ + await tools.variables.handler({ operation: 'add', data: [ { name: 'Finance.net_revenue', type: 'variable', equation: '100' } ]}); @@ -332,9 +341,9 @@ describe('createEditModelSectionTool normalization', () => { it('finds variable by underscore name', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'update', data: [ + await tools.variables.handler({ operation: 'update', data: [ { name: 'birth_rate', equation: '0.2' } ]}); @@ -344,9 +353,9 @@ describe('createEditModelSectionTool normalization', () => { it('finds variable case-insensitively', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'update', data: [ + await tools.variables.handler({ operation: 'update', data: [ { name: 'Birth Rate', equation: '0.2' } ]}); @@ -356,9 +365,9 @@ describe('createEditModelSectionTool normalization', () => { it('finds variable with mixed case and underscores', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'update', data: [ + await tools.variables.handler({ operation: 'update', data: [ { name: 'BIRTH_RATE', equation: '0.2' } ]}); @@ -368,9 +377,9 @@ describe('createEditModelSectionTool normalization', () => { it('normalizes newName to spaces', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'update', data: [ + await tools.variables.handler({ operation: 'update', data: [ { name: 'birth_rate', newName: 'birth_fraction' } ]}); @@ -387,9 +396,9 @@ describe('createEditModelSectionTool normalization', () => { modules: [], }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'update', data: [ + await tools.variables.handler({ operation: 'update', data: [ { name: 'process_time', newName: 'transit_time' } ]}); @@ -407,9 +416,9 @@ describe('createEditModelSectionTool normalization', () => { modules: [], }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'update', data: [ + await tools.variables.handler({ operation: 'update', data: [ { name: 'flag', newName: 'signal' } ]}); @@ -423,9 +432,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes variable found by underscore name', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'remove', data: ['birth_rate'] }); + await tools.variables.handler({ operation: 'remove', data: [{name: 'birth_rate'}] }); expect(getModel().variables).toHaveLength(0); }); @@ -433,9 +442,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes variable case-insensitively', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'remove', data: ['BIRTH RATE'] }); + await tools.variables.handler({ operation: 'remove', data: [{name: 'BIRTH RATE'}] }); expect(getModel().variables).toHaveLength(0); }); @@ -443,9 +452,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes variable with mixed case and underscores', async () => { resetModel({ variables: [{ name: 'birth rate', type: 'variable', equation: '0.1' }], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'variables', operation: 'remove', data: ['Birth_Rate'] }); + await tools.variables.handler({ operation: 'remove', data: [{name: 'Birth_Rate'}] }); expect(getModel().variables).toHaveLength(0); }); @@ -455,9 +464,9 @@ describe('createEditModelSectionTool normalization', () => { it('normalizes from and to to spaces', async () => { resetModel({ variables: [], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'add', data: [ + await tools.relationships.handler({ operation: 'add', data: [ { from: 'birth_rate', to: 'Population', polarity: '+' } ]}); @@ -470,11 +479,11 @@ describe('createEditModelSectionTool normalization', () => { it('finds relationship by underscore from/to', async () => { resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'update', data: { + await tools.relationships.handler({ operation: 'update', data: [{ from: 'birth_rate', to: 'Population', polarity: '-' - }}); + }]}); expect(getModel().relationships[0].polarity).toBe('-'); }); @@ -482,11 +491,11 @@ describe('createEditModelSectionTool normalization', () => { it('finds relationship case-insensitively', async () => { resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'update', data: { + await tools.relationships.handler({ operation: 'update', data: [{ from: 'BIRTH RATE', to: 'population', polarity: '-' - }}); + }]}); expect(getModel().relationships[0].polarity).toBe('-'); }); @@ -494,11 +503,11 @@ describe('createEditModelSectionTool normalization', () => { it('finds relationship with mixed case and underscores', async () => { resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'update', data: { + await tools.relationships.handler({ operation: 'update', data: [{ from: 'Birth_Rate', to: 'POPULATION', polarity: '-' - }}); + }]}); expect(getModel().relationships[0].polarity).toBe('-'); }); @@ -508,9 +517,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes relationship found by underscore from/to', async () => { resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'remove', data: [ + await tools.relationships.handler({ operation: 'remove', data: [ { from: 'birth_rate', to: 'Population' } ]}); @@ -520,9 +529,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes relationship case-insensitively', async () => { resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'remove', data: [ + await tools.relationships.handler({ operation: 'remove', data: [ { from: 'BIRTH RATE', to: 'POPULATION' } ]}); @@ -532,9 +541,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes relationship with mixed case and underscores', async () => { resetModel({ variables: [], relationships: [{ from: 'birth rate', to: 'Population', polarity: '+' }], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'relationships', operation: 'remove', data: [ + await tools.relationships.handler({ operation: 'remove', data: [ { from: 'Birth_Rate', to: 'population' } ]}); @@ -546,9 +555,9 @@ describe('createEditModelSectionTool normalization', () => { it('normalizes module name underscores to spaces', async () => { resetModel({ variables: [], relationships: [], modules: [] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'modules', operation: 'add', data: [ + await tools.modules.handler({ operation: 'add', data: [ { name: 'My_Module', parentModule: null } ]}); @@ -560,9 +569,9 @@ describe('createEditModelSectionTool normalization', () => { it('normalizes module names in replacement array', async () => { resetModel({ variables: [], relationships: [], modules: [{ name: 'Finance', parentModule: null }] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'modules', operation: 'update', data: [ + await tools.modules.handler({ operation: 'update', data: [ { name: 'Finance_Sub', parentModule: 'Finance' } ]}); @@ -574,9 +583,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes module found by underscore name', async () => { resetModel({ variables: [], relationships: [], modules: [{ name: 'My Module', parentModule: null }] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'modules', operation: 'remove', data: ['My_Module'] }); + await tools.modules.handler({ operation: 'remove', data: [{name: 'My_Module'}] }); expect(getModel().modules).toHaveLength(0); }); @@ -584,9 +593,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes module case-insensitively', async () => { resetModel({ variables: [], relationships: [], modules: [{ name: 'Finance', parentModule: null }] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'modules', operation: 'remove', data: ['FINANCE'] }); + await tools.modules.handler({ operation: 'remove', data: [{name: 'FINANCE'}] }); expect(getModel().modules).toHaveLength(0); }); @@ -594,9 +603,9 @@ describe('createEditModelSectionTool normalization', () => { it('removes module with mixed case and underscores', async () => { resetModel({ variables: [], relationships: [], modules: [{ name: 'My Module', parentModule: null }] }); const { sendToClient, getModel } = makeSendToClient(); - const tool = makeEditTool(sendToClient); + const tools = makeEditTools(sendToClient); - await tool.handler({ section: 'modules', operation: 'remove', data: ['MY_MODULE'] }); + await tools.modules.handler({ operation: 'remove', data: [{name: 'MY_MODULE'}] }); expect(getModel().modules).toHaveLength(0); }); From d580717dc8af63c5eeb16be227d35f41477618e3 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 17:25:15 -0400 Subject: [PATCH 212/226] added support for running the BEAMS evals on the agents --- agent/utilities/AgentEvalRunner.js | 355 ++++++++++++++++++++++ engines/test-agent-build/engine.js | 96 ++++++ engines/test-agent-discuss/engine.js | 90 ++++++ evals/experiments/leaderboardCLD.json | 30 ++ evals/experiments/leaderboardDiscuss.json | 30 ++ evals/experiments/leaderboardSFD.json | 30 ++ routes/v1/engines.js | 2 +- tests/agent/AgentEvalRunner.test.js | 327 ++++++++++++++++++++ 8 files changed, 959 insertions(+), 1 deletion(-) create mode 100644 agent/utilities/AgentEvalRunner.js create mode 100644 engines/test-agent-build/engine.js create mode 100644 engines/test-agent-discuss/engine.js create mode 100644 tests/agent/AgentEvalRunner.test.js diff --git a/agent/utilities/AgentEvalRunner.js b/agent/utilities/AgentEvalRunner.js new file mode 100644 index 00000000..9fc9de77 --- /dev/null +++ b/agent/utilities/AgentEvalRunner.js @@ -0,0 +1,355 @@ +import { readFileSync } from 'fs'; +import { join, dirname } from 'path'; +import { fileURLToPath } from 'url'; +import { AgentOrchestrator } from '../AgentOrchestrator.js'; +import { SessionManager } from './SessionManager.js'; +import SDJsonToXMILE from '../../utilities/SDJsonToXMILE.js'; +import PySDSimulator from '../../evals/utilities/simulator/PySDSimulator.js'; +import logger from '../../utilities/logger.js'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const AGENT_CONFIG_DIR = join(__dirname, '../config'); + +const EVAL_MODE_INSTRUCTION = ` +## EVAL MODE: No User Present +You are running in automated evaluation mode. There is NO user. You MUST: +- Never ask the user questions or for clarification +- Never stop to request input or confirmation +- Make your best judgment and proceed autonomously +- Iterate until the task is fully complete +- If you are uncertain about a requirement, make a reasonable assumption and continue +`; + +/** + * Find all simple cycles in a directed graph using DFS. + * Each cycle is found exactly once (starting from its lexicographically-smallest node). + */ +export function findFeedbackLoops(relationships) { + const adj = {}; + for (const rel of (relationships || [])) { + if (!adj[rel.from]) adj[rel.from] = []; + adj[rel.from].push({ to: rel.to, polarity: rel.polarity || '+' }); + } + + const allNodes = [...new Set([ + ...Object.keys(adj), + ...(relationships || []).map(r => r.to) + ])].sort(); + + const nodeIndex = {}; + allNodes.forEach((n, i) => { nodeIndex[n] = i; }); + + const loops = []; + let loopCounter = 0; + + for (let startIdx = 0; startIdx < allNodes.length; startIdx++) { + const startNode = allNodes[startIdx]; + const path = [startNode]; + const pathPolarities = []; + const inPath = new Set([startNode]); + + function dfs(node) { + for (const { to, polarity } of (adj[node] || [])) { + if (to === startNode && path.length > 1) { + // Found a cycle back to start — record it + const cyclePolarities = [...pathPolarities, polarity]; + const negativeCount = cyclePolarities.filter(p => p === '-').length; + const loopPolarity = negativeCount % 2 === 0 ? '+' : '-'; + loopCounter++; + const links = []; + for (let i = 0; i < path.length; i++) { + links.push({ + from: path[i], + to: i + 1 < path.length ? path[i + 1] : startNode, + polarity: cyclePolarities[i] + }); + } + loops.push({ + identifier: `L${loopCounter}`, + name: `Loop ${loopCounter}`, + links, + polarity: loopPolarity + }); + } else if (!inPath.has(to) && nodeIndex[to] > startIdx) { + inPath.add(to); + path.push(to); + pathPolarities.push(polarity); + dfs(to); + path.pop(); + pathPolarities.pop(); + inPath.delete(to); + } + } + } + + dfs(startNode); + } + + return loops; +} + +/** + * Patch a markdown string's frontmatter. + * Replaces max_iterations and optionally agent_mode, then appends eval instructions. + */ +export function patchAgentConfig(markdownContent, agentMode) { + // Patch max_iterations to effectively unlimited + let patched = markdownContent.replace( + /^max_iterations:\s*\d+/m, + 'max_iterations: 9999' + ); + + // Optionally override agent_mode + if (agentMode) { + patched = patched.replace( + /^agent_mode:\s*.+/m, + `agent_mode: ${agentMode}` + ); + } + + // Append eval-mode instruction to the body (after closing ---) + const frontmatterEnd = patched.indexOf('\n---\n'); + if (frontmatterEnd !== -1) { + const insertAt = frontmatterEnd + 5; // after '\n---\n' + patched = patched.slice(0, insertAt) + EVAL_MODE_INSTRUCTION + patched.slice(insertAt); + } else { + patched += EVAL_MODE_INSTRUCTION; + } + + return patched; +} + +/** + * Resolve a pending request stored in a Map (pendingModelRequests or pendingFeedbackRequests). + * Clears the timeout and removes the entry before resolving/rejecting. + */ +function resolvePending(map, requestId, value) { + const pending = map?.get(requestId); + if (pending) { + clearTimeout(pending.timeout); + map.delete(requestId); + pending.resolve(value); + } +} + +function rejectPending(map, requestId, error) { + const pending = map?.get(requestId); + if (pending) { + clearTimeout(pending.timeout); + map.delete(requestId); + pending.reject(error); + } +} + +/** + * Run the agent to completion for eval purposes. + * + * @param {string} prompt - The user prompt + * @param {Object} currentModel - The current SD model (sdjson) + * @param {Object} parameters - Engine parameters including agentName, agentMode, provider, mode, + * problemStatement, backgroundKnowledge, feedbackContent + * @returns {{ lastModel: Object|null, explanation: string }} + */ +export async function runAgent(prompt, currentModel, parameters) { + const { + agentName = 'merlin', + agentMode, + provider = 'anthropic', + mode = 'sfd', + problemStatement, + backgroundKnowledge, + feedbackContent + } = parameters; + + // Derive base session mode (strip -discuss suffix) + const baseMode = mode.replace(/-discuss$/, ''); + + // 1. Load and patch agent config + const configPath = join(AGENT_CONFIG_DIR, `${agentName}.md`); + let markdownContent; + try { + markdownContent = readFileSync(configPath, 'utf-8'); + } catch (err) { + throw new Error(`Agent config not found: ${configPath}`); + } + markdownContent = patchAgentConfig(markdownContent, agentMode); + + // 2. Set up session + const sessionManager = new SessionManager({ disableCleanup: true }); + const sessionId = sessionManager.createSession({ readyState: 1, send: () => {} }); + sessionManager.initializeSession( + sessionId, + baseMode, + currentModel || { variables: [], relationships: [] }, + [], + {}, + 'eval-client' + ); + + // 3. In-memory run storage + const storedRuns = new Map(); + let runCounter = 0; + + const textParts = []; + let resolveComplete; + let rejectComplete; + const completionPromise = new Promise((res, rej) => { + resolveComplete = res; + rejectComplete = rej; + }); + + // 4. Mock sendToClient + const sendToClient = async (message) => { + const session = sessionManager.getSession(sessionId); + + switch (message.type) { + case 'get_current_model': { + // setImmediate: sendToClient is awaited BEFORE the tool stores its resolver in the + // pending Map, so we must defer resolution until after the current call stack unwinds. + // Read from session (not the closure) so updates pushed via update_model are visible. + const gcmReqId = message.requestId; + setImmediate(() => { + const latestModel = sessionManager.getClientModel(sessionId) || { variables: [], relationships: [] }; + resolvePending(sessionManager.getSession(sessionId)?.pendingModelRequests, gcmReqId, latestModel); + }); + break; + } + + case 'update_model': { + const modelData = message.modelData; + const umReqId = message.requestId; + setImmediate(() => resolvePending(sessionManager.getSession(sessionId)?.pendingModelRequests, umReqId, modelData)); + break; + } + + case 'run_model': { + const model = sessionManager.getClientModel(sessionId); + let runId = `eval-run-${++runCounter}`; + try { + const xmileContent = SDJsonToXMILE(model, { + modelName: 'eval-model', + vendor: 'sd-ai-evals', + product: 'sd-ai-evals', + version: '1.0' + }); + const varNames = (model?.variables || []).map(v => v.name).filter(Boolean); + if (varNames.length > 0) { + const sim = new PySDSimulator(xmileContent); + const results = await sim.simulate(varNames); + storedRuns.set(runId, results); + } else { + storedRuns.set(runId, {}); + } + } catch (err) { + logger.warn(`[AgentEvalRunner] Simulation failed for run ${runId}: ${err.message}`); + runId = `eval-run-failed-${runCounter}`; + storedRuns.set(runId, {}); + } + // run_model awaits simulation above, so sendToClient returns after the async work. + // The tool creates its promise immediately after sendToClient returns, so + // setImmediate fires after the resolver is in the Map. + const rmRunId = runId; + const rmReqId = message.requestId; + setImmediate(() => resolvePending(sessionManager.getSession(sessionId)?.pendingModelRequests, rmReqId, { runId: rmRunId })); + break; + } + + case 'get_run_info': { + const runs = Array.from(storedRuns.entries()).map(([id, data]) => ({ + id, + name: id, + variables: Object.keys(data).filter(k => k !== 'time') + })); + const griReqId = message.requestId; + setImmediate(() => resolvePending(sessionManager.getSession(sessionId)?.pendingModelRequests, griReqId, { runs })); + break; + } + + case 'get_variable_data': { + const { variableNames = [], runIds = [] } = message; + const result = {}; + for (const runId of runIds) { + const runData = storedRuns.get(runId); + if (runData) { + result[runId] = {}; + if (runData.time) result[runId].time = runData.time; + for (const varName of variableNames) { + if (runData[varName] !== undefined) result[runId][varName] = runData[varName]; + } + } + } + const gvdReqId = message.requestId; + setImmediate(() => resolvePending(sessionManager.getSession(sessionId)?.pendingModelRequests, gvdReqId, result)); + break; + } + + case 'feedback_request': { + let feedbackLoops; + if (feedbackContent) { + feedbackLoops = feedbackContent.feedbackLoops || []; + } else { + const model = sessionManager.getClientModel(sessionId); + feedbackLoops = findFeedbackLoops(model?.relationships); + } + const frReqId = message.requestId; + const frPayload = { feedbackContent: { feedbackLoops }, runIds: message.runIds }; + setImmediate(() => resolvePending(sessionManager.getSession(sessionId)?.pendingFeedbackRequests, frReqId, frPayload)); + break; + } + + case 'agent_text': { + if (!message.isThinking && message.content) { + textParts.push(message.content); + } + break; + } + + case 'agent_complete': { + resolveComplete(message.status); + break; + } + + case 'error': { + rejectComplete(new Error(message.error || 'Agent error')); + break; + } + + default: + break; + } + }; + + // 5. Compose user message (problemStatement → backgroundKnowledge → prompt) + const parts = []; + if (problemStatement) { + parts.push( + `The user has stated that they are conducting this modeling exercise to understand the following problem better.\n\n${problemStatement}` + ); + } + if (backgroundKnowledge) { + parts.push( + `Please be sure to consider the following critically important background information when you give your answer. You MUST use ONLY this background information to answer — do not draw on your own training knowledge or make assumptions beyond what is explicitly stated here. You MUST use the exact variable names as written — do not rename, paraphrase, or substitute any variable name that is explicitly referenced in this information.\n\n${backgroundKnowledge}` + ); + } + parts.push(prompt); + const userMessage = parts.join('\n\n'); + + // 6. Run the agent + const orchestrator = new AgentOrchestrator( + sessionManager, + sessionId, + sendToClient, + { markdownContent }, + provider + ); + + await Promise.all([ + orchestrator.startConversation(userMessage), + completionPromise + ]); + + return { + lastModel: sessionManager.getClientModel(sessionId), + explanation: textParts.join('\n\n') + }; +} diff --git a/engines/test-agent-build/engine.js b/engines/test-agent-build/engine.js new file mode 100644 index 00000000..077ba02e --- /dev/null +++ b/engines/test-agent-build/engine.js @@ -0,0 +1,96 @@ +import { runAgent } from '../../agent/utilities/AgentEvalRunner.js'; +import logger from '../../utilities/logger.js'; + +class Engine { + static supportedModes() { + return ['sfd', 'cld']; + } + + static description() { + return 'Test engine that wraps AgentOrchestrator for model-generation evals. Never shown in the public engine list.'; + } + + additionalParameters() { + return [ + { + name: 'agentName', + type: 'string', + required: true, + uiElement: 'text', + label: 'Agent Name', + description: 'Which agent config to use (e.g. merlin, socrates)' + }, + { + name: 'agentMode', + type: 'string', + required: false, + uiElement: 'text', + label: 'Agent Mode', + description: 'Execution mode override: sdk or manual. Defaults to the agent config value.' + }, + { + name: 'provider', + type: 'string', + required: false, + uiElement: 'text', + label: 'Provider', + description: 'LLM provider: anthropic (default) or google' + }, + { + name: 'mode', + type: 'string', + required: true, + uiElement: 'text', + label: 'Mode', + description: 'Model type: sfd or cld' + }, + { + name: 'problemStatement', + type: 'string', + required: false, + uiElement: 'textarea', + saveForUser: 'local', + label: 'Problem Statement', + description: 'Description of a dynamic issue within the system you are studying that highlights an undesirable behavior over time.', + minHeight: 50, + maxHeight: 100 + }, + { + name: 'backgroundKnowledge', + type: 'string', + required: false, + uiElement: 'textarea', + saveForUser: 'local', + label: 'Background Knowledge', + description: 'Background information you want the LLM model to consider when generating a diagram for you', + minHeight: 100 + } + ]; + } + + async generate(prompt, currentModel, parameters) { + try { + const { lastModel, explanation } = await runAgent(prompt, currentModel, parameters); + if (!lastModel) { + return { err: 'Agent did not produce a model' }; + } + return { + supportingInfo: { + title: lastModel.title, + explanation + }, + model: { + relationships: lastModel.relationships || [], + variables: lastModel.variables || [], + ...(lastModel.specs && { specs: lastModel.specs }), + ...(lastModel.modules && { modules: lastModel.modules }) + } + }; + } catch (err) { + logger.error('[test-agent-build] generate error:', err); + return { err: err.toString() }; + } + } +} + +export default Engine; diff --git a/engines/test-agent-discuss/engine.js b/engines/test-agent-discuss/engine.js new file mode 100644 index 00000000..7ccc4dcd --- /dev/null +++ b/engines/test-agent-discuss/engine.js @@ -0,0 +1,90 @@ +import { runAgent } from '../../agent/utilities/AgentEvalRunner.js'; +import logger from '../../utilities/logger.js'; + +class Engine { + static supportedModes() { + return ['sfd-discuss', 'cld-discuss']; + } + + static description() { + return 'Test engine that wraps AgentOrchestrator for discussion/Q&A evals. Never shown in the public engine list.'; + } + + additionalParameters() { + return [ + { + name: 'agentName', + type: 'string', + required: true, + uiElement: 'text', + label: 'Agent Name', + description: 'Which agent config to use (e.g. merlin, socrates)' + }, + { + name: 'agentMode', + type: 'string', + required: false, + uiElement: 'text', + label: 'Agent Mode', + description: 'Execution mode override: sdk or manual. Defaults to the agent config value.' + }, + { + name: 'provider', + type: 'string', + required: false, + uiElement: 'text', + label: 'Provider', + description: 'LLM provider: anthropic (default) or google' + }, + { + name: 'mode', + type: 'string', + required: true, + uiElement: 'text', + label: 'Mode', + description: 'Discussion mode: sfd-discuss or cld-discuss' + }, + { + name: 'problemStatement', + type: 'string', + required: false, + uiElement: 'textarea', + saveForUser: 'local', + label: 'Problem Statement', + description: 'Description of a dynamic issue within the system you are studying that highlights an undesirable behavior over time.', + minHeight: 50, + maxHeight: 100 + }, + { + name: 'backgroundKnowledge', + type: 'string', + required: false, + uiElement: 'textarea', + saveForUser: 'local', + label: 'Background Knowledge', + description: 'Background information you want the LLM model to consider when generating a model for you', + minHeight: 100 + }, + { + name: 'feedbackContent', + type: 'feedbackJSON', + required: false, + uiElement: 'hidden', + label: 'JSON Description of feedback loops', + description: 'A JSON object representing all of the feedback loops in the model' + } + ]; + } + + async generate(prompt, currentModel, parameters) { + try { + const { explanation } = await runAgent(prompt, currentModel, parameters); + return { output: explanation }; + } catch (err) { + logger.error('[test-agent-discuss] generate error:', err); + return { err: err.toString() }; + } + } +} + +export default Engine; diff --git a/evals/experiments/leaderboardCLD.json b/evals/experiments/leaderboardCLD.json index f6844a43..d20c4296 100644 --- a/evals/experiments/leaderboardCLD.json +++ b/evals/experiments/leaderboardCLD.json @@ -124,6 +124,36 @@ "requestsPerMinute": 10 } } + }, + "merlin-anthropic-cld": { + "engine": "test-agent-build", + "additionalParameters": { + "agentName": "merlin", + "agentMode": "sdk", + "provider": "anthropic", + "mode": "cld" + }, + "limits": { + "tokensPerMinute": 200000, + "baselineTokenUsage": 50000, + "requestsPerMinute": 3 + } + }, + + "merlin-google-cld": { + "engine": "test-agent-build", + "additionalParameters": { + "agentName": "merlin", + "agentMode": "sdk", + "provider": "google", + "mode": "cld" + }, + "limits": { + "tokensPerMinute": 200000, + "baselineTokenUsage": 50000, + "requestsPerMinute": 3 + } + } }, "categories": { "qualitativeTranslation": true, diff --git a/evals/experiments/leaderboardDiscuss.json b/evals/experiments/leaderboardDiscuss.json index 11b51da6..4da7a4a7 100644 --- a/evals/experiments/leaderboardDiscuss.json +++ b/evals/experiments/leaderboardDiscuss.json @@ -61,6 +61,36 @@ "requestsPerMinute": 10 } } + }, + "merlin-anthropic-discuss": { + "engine": "test-agent-discuss", + "additionalParameters": { + "agentName": "merlin", + "agentMode": "sdk", + "provider": "anthropic", + "mode": "sfd-discuss" + }, + "limits": { + "tokensPerMinute": 200000, + "baselineTokenUsage": 50000, + "requestsPerMinute": 3 + } + }, + + "merlin-google-discuss": { + "engine": "test-agent-discuss", + "additionalParameters": { + "agentName": "merlin", + "agentMode": "sdk", + "provider": "google", + "mode": "sfd-discuss" + }, + "limits": { + "tokensPerMinute": 200000, + "baselineTokenUsage": 50000, + "requestsPerMinute": 3 + } + } }, "categories": { "feedbackExplanation": true, diff --git a/evals/experiments/leaderboardSFD.json b/evals/experiments/leaderboardSFD.json index 440134af..260c7dc0 100644 --- a/evals/experiments/leaderboardSFD.json +++ b/evals/experiments/leaderboardSFD.json @@ -63,6 +63,36 @@ "requestsPerMinute": 10 } } + }, + "merlin-anthropic-sfd": { + "engine": "test-agent-build", + "additionalParameters": { + "agentName": "merlin", + "agentMode": "sdk", + "provider": "anthropic", + "mode": "sfd" + }, + "limits": { + "tokensPerMinute": 200000, + "baselineTokenUsage": 50000, + "requestsPerMinute": 3 + } + }, + + "merlin-google-sfd": { + "engine": "test-agent-build", + "additionalParameters": { + "agentName": "merlin", + "agentMode": "sdk", + "provider": "google", + "mode": "sfd" + }, + "limits": { + "tokensPerMinute": 200000, + "baselineTokenUsage": 50000, + "requestsPerMinute": 3 + } + } }, "categories": { "quantitativeTranslation": true, diff --git a/routes/v1/engines.js b/routes/v1/engines.js index 05ef509a..e88363c3 100644 --- a/routes/v1/engines.js +++ b/routes/v1/engines.js @@ -6,7 +6,7 @@ const quantitativeEngines = ['quantitative']; router.get("/", async (req, res) => { const path = "engines" - const dirs = fs.readdirSync(path).filter(f => fs.lstatSync(`${path}/${f}`).isDirectory()); + const dirs = fs.readdirSync(path).filter(f => fs.lstatSync(`${path}/${f}`).isDirectory()).filter(f => !f.startsWith('test-')); const engines = []; for (const dir of dirs) { diff --git a/tests/agent/AgentEvalRunner.test.js b/tests/agent/AgentEvalRunner.test.js new file mode 100644 index 00000000..5c550c38 --- /dev/null +++ b/tests/agent/AgentEvalRunner.test.js @@ -0,0 +1,327 @@ +import { describe, test, expect, jest, beforeAll, beforeEach } from '@jest/globals'; + +// ─── Module-level message sequence used by the AgentOrchestrator mock ──────── +// Tests set this before calling runAgent; the mock factory closes over it. +let messageSequence = []; + +// Mocks must be declared at the top level before any dynamic import of the +// module under test, so Jest can intercept the module registry. +jest.unstable_mockModule('../../agent/AgentOrchestrator.js', () => ({ + AgentOrchestrator: class MockOrchestrator { + constructor(_sm, _sid, sendFn, _config, _provider) { + this._send = sendFn; + } + async startConversation(_msg) { + for (const msg of messageSequence) { + await this._send(msg); + } + } + }, +})); + +jest.unstable_mockModule('../../utilities/SDJsonToXMILE.js', () => ({ + default: () => '', +})); + +jest.unstable_mockModule('../../evals/utilities/simulator/PySDSimulator.js', () => ({ + default: class MockSimulator { + async simulate() { + return { time: [0, 1, 2], Population: [100, 110, 121] }; + } + }, +})); + +// Dynamically import after mocks are registered +let findFeedbackLoops, patchAgentConfig, runAgent; + +beforeAll(async () => { + ({ findFeedbackLoops, patchAgentConfig, runAgent } = + await import('../../agent/utilities/AgentEvalRunner.js')); +}); + +// ─── findFeedbackLoops ─────────────────────────────────────────────────────── + +describe('findFeedbackLoops', () => { + test('returns empty array for null/undefined relationships', () => { + expect(findFeedbackLoops(null)).toEqual([]); + expect(findFeedbackLoops(undefined)).toEqual([]); + expect(findFeedbackLoops([])).toEqual([]); + }); + + test('returns empty array for a DAG (no cycles)', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'C', polarity: '+' }, + ]; + expect(findFeedbackLoops(rels)).toEqual([]); + }); + + test('detects a simple 2-node reinforcing loop (both +)', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'A', polarity: '+' }, + ]; + const loops = findFeedbackLoops(rels); + expect(loops).toHaveLength(1); + expect(loops[0].polarity).toBe('+'); + expect(loops[0].identifier).toBe('L1'); + }); + + test('detects a simple 2-node balancing loop (one - polarity)', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'A', polarity: '-' }, + ]; + const loops = findFeedbackLoops(rels); + expect(loops).toHaveLength(1); + expect(loops[0].polarity).toBe('-'); + }); + + test('two negative links → reinforcing (even negatives)', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '-' }, + { from: 'B', to: 'A', polarity: '-' }, + ]; + const loops = findFeedbackLoops(rels); + expect(loops[0].polarity).toBe('+'); + }); + + test('3-node cycle — correct link structure', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'C', polarity: '+' }, + { from: 'C', to: 'A', polarity: '-' }, + ]; + const loops = findFeedbackLoops(rels); + expect(loops).toHaveLength(1); + expect(loops[0].links).toHaveLength(3); + expect(loops[0].polarity).toBe('-'); + + const fromNodes = loops[0].links.map(l => l.from).sort(); + expect(fromNodes).toEqual(['A', 'B', 'C']); + }); + + test('two independent cycles are both detected', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'A', polarity: '+' }, + { from: 'C', to: 'D', polarity: '-' }, + { from: 'D', to: 'C', polarity: '+' }, + ]; + const loops = findFeedbackLoops(rels); + expect(loops).toHaveLength(2); + }); + + test('defaults missing polarity to "+"', () => { + const rels = [ + { from: 'A', to: 'B' }, + { from: 'B', to: 'A' }, + ]; + const loops = findFeedbackLoops(rels); + expect(loops[0].polarity).toBe('+'); + expect(loops[0].links.every(l => l.polarity === '+')).toBe(true); + }); + + test('loop identifiers are sequential L1, L2, ...', () => { + const rels = [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'A', polarity: '+' }, + { from: 'C', to: 'D', polarity: '+' }, + { from: 'D', to: 'C', polarity: '+' }, + ]; + const loops = findFeedbackLoops(rels); + const ids = loops.map(l => l.identifier).sort(); + expect(ids).toEqual(['L1', 'L2']); + }); + + test('each loop link connects consecutive nodes and closes back to start', () => { + const rels = [ + { from: 'X', to: 'Y', polarity: '+' }, + { from: 'Y', to: 'X', polarity: '-' }, + ]; + const [loop] = findFeedbackLoops(rels); + const nodes = loop.links.map(l => l.from); + const targets = loop.links.map(l => l.to); + for (let i = 0; i < nodes.length; i++) { + expect(targets[i]).toBe(nodes[(i + 1) % nodes.length]); + } + }); +}); + +// ─── patchAgentConfig ──────────────────────────────────────────────────────── + +const SAMPLE_MD = `--- +name: "TestAgent" +agent_mode: manual +max_iterations: 10 +supported_modes: + - sfd +supported_providers: + - anthropic +--- + +## Instructions +Do things. +`; + +describe('patchAgentConfig', () => { + test('replaces max_iterations with 9999', () => { + const result = patchAgentConfig(SAMPLE_MD); + expect(result).toMatch(/^max_iterations: 9999$/m); + expect(result).not.toMatch(/^max_iterations: 10$/m); + }); + + test('replaces agent_mode when agentMode is provided', () => { + const result = patchAgentConfig(SAMPLE_MD, 'sdk'); + expect(result).toMatch(/^agent_mode: sdk$/m); + expect(result).not.toMatch(/^agent_mode: manual$/m); + }); + + test('does not touch agent_mode when agentMode is omitted', () => { + const result = patchAgentConfig(SAMPLE_MD); + expect(result).toMatch(/^agent_mode: manual$/m); + }); + + test('appends EVAL MODE instruction block after closing ---', () => { + const result = patchAgentConfig(SAMPLE_MD); + const frontmatterEnd = result.indexOf('\n---\n'); + expect(frontmatterEnd).toBeGreaterThan(-1); + const bodyStart = result.slice(frontmatterEnd + 5); + expect(bodyStart).toMatch(/EVAL MODE/); + expect(bodyStart).toMatch(/Never ask the user questions/); + }); + + test('EVAL MODE instruction comes before original body content', () => { + const result = patchAgentConfig(SAMPLE_MD); + const evalIdx = result.indexOf('EVAL MODE'); + const doThingsIdx = result.indexOf('Do things.'); + expect(evalIdx).toBeLessThan(doThingsIdx); + }); + + test('appends EVAL MODE at end when no frontmatter separator exists', () => { + const noFrontmatter = 'Just some markdown content without frontmatter.'; + const result = patchAgentConfig(noFrontmatter); + expect(result).toMatch(/EVAL MODE/); + expect(result).toContain('Just some markdown content without frontmatter.'); + }); + + test('handles markdown with no max_iterations line gracefully', () => { + const md = `---\nname: "X"\nagent_mode: sdk\nsupported_modes:\n - sfd\nsupported_providers:\n - anthropic\n---\n## Body\n`; + const result = patchAgentConfig(md, 'manual'); + expect(result).toMatch(/^agent_mode: manual$/m); + expect(result).toMatch(/EVAL MODE/); + }); +}); + +// ─── sendToClient mock handler ─────────────────────────────────────────────── + +describe('sendToClient mock handler', () => { + beforeEach(() => { + messageSequence = []; + }); + + const baseParams = { + agentName: 'merlin', + agentMode: 'sdk', + provider: 'anthropic', + mode: 'sfd', + }; + + const currentModel = { + variables: [{ name: 'Population', type: 'stock', equation: '100' }], + relationships: [], + }; + + test('agent_complete resolves runAgent and returns collected text', async () => { + messageSequence = [ + { type: 'agent_text', isThinking: false, content: 'Hello' }, + { type: 'agent_text', isThinking: false, content: ' world' }, + { type: 'agent_complete', status: 'done' }, + ]; + + const result = await runAgent('test prompt', currentModel, baseParams); + expect(result.explanation).toBe('Hello\n\n world'); + }); + + test('agent_text with isThinking:true is excluded from explanation', async () => { + messageSequence = [ + { type: 'agent_text', isThinking: true, content: 'internal thought' }, + { type: 'agent_text', isThinking: false, content: 'visible response' }, + { type: 'agent_complete', status: 'done' }, + ]; + + const result = await runAgent('test prompt', currentModel, baseParams); + expect(result.explanation).not.toContain('internal thought'); + expect(result.explanation).toContain('visible response'); + }); + + test('update_model resolves without error and lastModel comes from SessionManager', async () => { + messageSequence = [ + { type: 'update_model', requestId: 'r1', modelData: { variables: [], relationships: [] } }, + { type: 'agent_complete', status: 'done' }, + ]; + + const result = await runAgent('test prompt', currentModel, baseParams); + // In real usage the tool calls sessionManager.updateClientModel() after resolution; + // here we verify runAgent completes and lastModel is whatever the session holds. + expect(result.lastModel).toBeDefined(); + }); + + test('error message rejects runAgent with an Error', async () => { + messageSequence = [ + { type: 'error', error: 'Something broke' }, + ]; + + await expect(runAgent('test prompt', currentModel, baseParams)) + .rejects.toThrow('Something broke'); + }); + + test('error with no message text uses fallback "Agent error"', async () => { + messageSequence = [ + { type: 'error' }, + ]; + + await expect(runAgent('test prompt', currentModel, baseParams)) + .rejects.toThrow('Agent error'); + }); + + test('feedback_request resolves using pre-computed feedbackContent', async () => { + const preComputed = { + feedbackLoops: [{ identifier: 'L1', name: 'Loop 1', links: [], polarity: '+' }], + }; + messageSequence = [ + { type: 'feedback_request', requestId: 'fr1', runIds: ['run-1'] }, + { type: 'agent_complete', status: 'done' }, + ]; + + const params = { ...baseParams, feedbackContent: preComputed }; + await expect(runAgent('test prompt', currentModel, params)).resolves.toBeDefined(); + }); + + test('feedback_request falls back to DFS when no feedbackContent provided', async () => { + const modelWithLoop = { + variables: [{ name: 'A' }, { name: 'B' }], + relationships: [ + { from: 'A', to: 'B', polarity: '+' }, + { from: 'B', to: 'A', polarity: '+' }, + ], + }; + messageSequence = [ + { type: 'feedback_request', requestId: 'fr2', runIds: [] }, + { type: 'agent_complete', status: 'done' }, + ]; + + await expect(runAgent('test prompt', modelWithLoop, baseParams)).resolves.toBeDefined(); + }); + + test('get_current_model resolves with the initial model', async () => { + let resolvedModel; + messageSequence = [ + { type: 'get_current_model', requestId: 'gcm1' }, + { type: 'agent_complete', status: 'done' }, + ]; + + // Just verify it doesn't hang (no timeout) — the session resolves the pending request + await expect(runAgent('test prompt', currentModel, baseParams)).resolves.toBeDefined(); + }); +}); From a78b8eae98fa4368bfd48c882c17934cc68b8349 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Tue, 19 May 2026 18:03:00 -0400 Subject: [PATCH 213/226] fixed the agent evals they can run models properly now using pysd --- agent/utilities/AgentEvalRunner.js | 12 ++++++++++-- utilities/SDJsonToXMILE.js | 2 +- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/agent/utilities/AgentEvalRunner.js b/agent/utilities/AgentEvalRunner.js index 9fc9de77..d2fe59a9 100644 --- a/agent/utilities/AgentEvalRunner.js +++ b/agent/utilities/AgentEvalRunner.js @@ -182,7 +182,11 @@ export async function runAgent(prompt, currentModel, parameters) { baseMode, currentModel || { variables: [], relationships: [] }, [], - {}, + { + supportsArrays: false, + supportsModules: false, + supportsSubTypes: false + }, 'eval-client' ); @@ -232,7 +236,11 @@ export async function runAgent(prompt, currentModel, parameters) { product: 'sd-ai-evals', version: '1.0' }); - const varNames = (model?.variables || []).map(v => v.name).filter(Boolean); + + const varNames = (model?.variables || []) + .map(v => v.name?.replace(/\s+/g, '_')) + .filter(Boolean); + if (varNames.length > 0) { const sim = new PySDSimulator(xmileContent); const results = await sim.simulate(varNames); diff --git a/utilities/SDJsonToXMILE.js b/utilities/SDJsonToXMILE.js index 218a6c15..1327eea1 100644 --- a/utilities/SDJsonToXMILE.js +++ b/utilities/SDJsonToXMILE.js @@ -607,7 +607,7 @@ function buildAuxiliary(aux, model, currentModule = '') { } // Handle graphical functions - if (aux.graphicalFunction && aux.graphicalFunction.points) { + if (aux.graphicalFunction && aux.graphicalFunction.points && aux.graphicalFunction.points.length > 1) { lines.push(...buildGraphicalFunction(aux.graphicalFunction, equation)); } else if (equation) { // Regular equation From 81da0b7e3872f1d150f94af515734e7d3e0d1f64 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 07:48:11 -0400 Subject: [PATCH 214/226] add support for gemini 3.5 flash --- agent/utilities/AgentConfigurationManager.js | 1 + config.js | 10 +++++----- utilities/LLMWrapper.js | 8 ++++---- utilities/pricing.js | 5 +++++ 4 files changed, 15 insertions(+), 9 deletions(-) diff --git a/agent/utilities/AgentConfigurationManager.js b/agent/utilities/AgentConfigurationManager.js index b686ff99..4546ff77 100644 --- a/agent/utilities/AgentConfigurationManager.js +++ b/agent/utilities/AgentConfigurationManager.js @@ -16,6 +16,7 @@ export class AgentConfigurationManager { ## CRITICAL: Text Generation - NEVER use emojis +- NEVER use LaTeX ## ABSOLUTE RULE: NEVER mention, name, describe, or reference any specific feedback loop unless it was returned by get_feedback_information in the current session.** Do not infer loops from variable names, equations, or SD knowledge. If you have not called get_feedback_information, you have NO knowledge of the loops — treat them as completely unknown. Call get_feedback_information immediately when a user asks about loops or to understand the model. diff --git a/config.js b/config.js index b9b80837..bd0c4982 100644 --- a/config.js +++ b/config.js @@ -14,8 +14,8 @@ const config = { /* * Defaults for the engines that use LLMWrapper and the agent tools that use those engines */ - "buildDefaultModel": 'gemini-3-flash-preview low', //LLMWrapper underlyingModel default for building model tools - "nonBuildDefaultModel": 'gemini-3-flash-preview low', //LLMWrapper underlyingModel default for non-building model tools + "buildDefaultModel": 'gemini-3.5-flash low', //LLMWrapper underlyingModel default for building model tools + "nonBuildDefaultModel": 'gemini-3.5-flash low', //LLMWrapper underlyingModel default for non-building model tools /* * These settings control the operation of the agents @@ -27,13 +27,13 @@ const config = { "agentDefaultProvider": 'anthropic', // Default LLM provider when client does not specify one ('anthropic' | 'google') "agentAnthropicModel": 'claude-sonnet-4-6', // Model used for agent conversations MUST BE Anthropic models "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models - "agentGeminiModel": 'gemini-3-flash-preview', // Model used for agent conversations MUST BE gemini models + "agentGeminiModel": 'gemini-3.5-flash', // Model used for agent conversations MUST BE gemini models "agentGeminiSummaryModel": 'gemini-3.1-flash-lite-preview', // Model used for conversation history summarization MUST BE gemini models "agentAnthropicEffort": "low", "agentAnthropicThinking": { type: "disabled" }, "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW }, - "agentToolHighEffortBuildDefaultModel": 'gemini-3-flash-preview high', //LLMWrapper underlyingModel default for building model tools - "agentToolHighEffortNonBuildDefaultModel": 'gemini-3-flash-preview high', //LLMWrapper underlyingModel default for non-building model tools + "agentToolHighEffortBuildDefaultModel": 'gemini-3.5-flash high', //LLMWrapper underlyingModel default for building model tools + "agentToolHighEffortNonBuildDefaultModel": 'gemini-3.5-flash high', //LLMWrapper underlyingModel default for non-building model tools }; export default config diff --git a/utilities/LLMWrapper.js b/utilities/LLMWrapper.js index 9d80d329..bee78376 100644 --- a/utilities/LLMWrapper.js +++ b/utilities/LLMWrapper.js @@ -153,11 +153,11 @@ export class LLMWrapper { {label: "GPT-5 latest", value: 'gpt-5'}, {label: "GPT-5-mini latest", value: 'gpt-5-mini'}, {label: "Gemini 3.1-pro-preview", value: 'gemini-3.1-pro-preview'}, + {label: "Gemini 3.5-flash", value: 'gemini-3.5-flash'}, + {label: "Gemini 3.5-flash high", value: 'gemini-3.5-flash high'}, + {label: "Gemini 3.5-flash medium", value: 'gemini-3.5-flash medium'}, + {label: "Gemini 3.5-flash low", value: 'gemini-3.5-flash low'}, {label: "Gemini 3-flash-preview", value: 'gemini-3-flash-preview'}, - {label: "Gemini 3-flash-preview high", value: 'gemini-3-flash-preview high'}, - {label: "Gemini 3-flash-preview medium", value: 'gemini-3-flash-preview medium'}, - {label: "Gemini 3-flash-preview low", value: 'gemini-3-flash-preview low'}, - {label: "Gemini 3-flash-preview minimal", value: 'gemini-3-flash-preview minimal'}, {label: "Gemini 2.5-flash", value: 'gemini-2.5-flash'}, {label: "Gemini 2.5-pro", value: 'gemini-2.5-pro'}, {label: "Claude Opus 4.7", value: 'claude-opus-4-7'}, diff --git a/utilities/pricing.js b/utilities/pricing.js index 52225ecb..21646c94 100644 --- a/utilities/pricing.js +++ b/utilities/pricing.js @@ -81,6 +81,11 @@ export const gemini = { cachedTokens: 0.025, outputTokens: 1.50, }, + 'gemini-3.5-flash': { + inputTokens: 1.50, + cachedTokens: 0.15, + outputTokens: 9.00, + }, default: { inputTokens: 4.00, cachedTokens: 0.40, From 1b0269d6990ad7ee0fb34f93a4489c12e352b1b6 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 08:27:25 -0400 Subject: [PATCH 215/226] fix issues in reasoning tests that were making them wrongly difficult --- .../categories/qualitativeCausalReasoning.js | 27 ++++++++++--------- .../categories/quantitativeCausalReasoning.js | 6 ++--- 2 files changed, 17 insertions(+), 16 deletions(-) diff --git a/evals/categories/qualitativeCausalReasoning.js b/evals/categories/qualitativeCausalReasoning.js index 4ed04c4e..4a4b8fe0 100644 --- a/evals/categories/qualitativeCausalReasoning.js +++ b/evals/categories/qualitativeCausalReasoning.js @@ -194,22 +194,23 @@ export const groups = { distribution, and public acceptance. Key variables that experts agree are essential: disease transmission, policy interventions, economic impact, - public compliance, healthcare capacity, political pressure, mental health, public trust, vaccination rollout.`, + public compliance, healthcare capacity, political pressure, mental health impacts, vaccination rollout.`, [ { - name: "Core pandemic dynamics", - requiredVariables: ["disease transmission", "policy interventions"], + name: "Pandemic intervention dynamics", + requiredVariables: ["disease transmission", "political pressure", "policy interventions"], requiredRelationships: [ - { from: "disease transmission", to: "policy interventions", polarity: "+" } + { from: "disease transmission", to: "political pressure", polarity: "+" }, + { from: "political pressure", to: "policy interventions", polarity: "+" } ] }, { name: "Economic and social trade-offs", - requiredVariables: ["economic impact", "public compliance", "mental health"], + requiredVariables: ["economic impact", "public compliance", "mental health impacts"], requiredRelationships: [ { from: "policy interventions", to: "economic impact", polarity: "+" }, { from: "economic impact", to: "public compliance", polarity: "-" }, - { from: "policy interventions", to: "mental health", polarity: "-" } + { from: "policy interventions", to: "mental health impacts", polarity: "+" } ] }, { @@ -238,22 +239,22 @@ export const groups = { accommodation, and treatment access. Key variables that experts agree are essential: social isolation, economic stress, stigma, access to services, - community support, substance abuse, workplace policies, family relationships, treatment outcomes, mental health.`, + community support, treatment outcomes, mental health problems.`, [ { name: "Social isolation cycle", - requiredVariables: ["social isolation", "mental health", "community support"], + requiredVariables: ["social isolation", "mental health problems", "community support"], requiredRelationships: [ - { from: "social isolation", to: "mental health", polarity: "+" }, - { from: "mental health", to: "social isolation", polarity: "+" }, - { from: "community support", to: "mental health", polarity: "-" } + { from: "social isolation", to: "mental health problems", polarity: "+" }, + { from: "mental health problems", to: "social isolation", polarity: "+" }, + { from: "community support", to: "mental health problems", polarity: "-" } ] }, { name: "Economic and employment factors", - requiredVariables: ["economic stress", "workplace policies"], + requiredVariables: ["economic stress", "mental health problems"], requiredRelationships: [ - { from: "economic stress", to: "mental health", polarity: "+" } + { from: "economic stress", to: "mental health problems", polarity: "+" } ] }, { diff --git a/evals/categories/quantitativeCausalReasoning.js b/evals/categories/quantitativeCausalReasoning.js index 30a3c8fd..d783268c 100644 --- a/evals/categories/quantitativeCausalReasoning.js +++ b/evals/categories/quantitativeCausalReasoning.js @@ -262,7 +262,7 @@ export const groups = { Disease progression involves distinct compartments of people moving through the infection cycle. Use these variable names: - susceptible, exposed, infectious, recovered, infecting, incubating, recovering, contact rate`, + susceptible, exposed, infectious, recovered, infecting, incubating, recovering, contacts, vaccination`, [ { name: "SEIR disease progression", @@ -295,8 +295,8 @@ export const groups = { Recovery times vary - some patients recover quickly while others require long-term care. The system involves managing patient flows, workforce dynamics, and available bed resources. - Use these variable names: - patients, available beds, healthcare workers, workload, burnout.`, + Use these variable names: + patients, available beds, healthcare workers, workload, burnout, staff turnover.`, [ { name: "Hospital capacity management", From a20c5a08c86c82728b190b4c0bf9fbd634a3a379 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 08:31:04 -0400 Subject: [PATCH 216/226] test runner reduce data being sent/recieved --- agent/utilities/AgentEvalRunner.js | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/agent/utilities/AgentEvalRunner.js b/agent/utilities/AgentEvalRunner.js index d2fe59a9..78581085 100644 --- a/agent/utilities/AgentEvalRunner.js +++ b/agent/utilities/AgentEvalRunner.js @@ -274,15 +274,28 @@ export async function runAgent(prompt, currentModel, parameters) { } case 'get_variable_data': { - const { variableNames = [], runIds = [] } = message; + const { variableNames = [], runIds = [], detailed = false } = message; + const targetPoints = detailed ? 200 : 50; const result = {}; for (const runId of runIds) { const runData = storedRuns.get(runId); if (runData) { result[runId] = {}; - if (runData.time) result[runId].time = runData.time; - for (const varName of variableNames) { - if (runData[varName] !== undefined) result[runId][varName] = runData[varName]; + const timeArr = runData.time; + if (timeArr && timeArr.length > targetPoints) { + const indices = Array.from({ length: targetPoints }, (_, i) => + Math.round(i * (timeArr.length - 1) / (targetPoints - 1)) + ); + result[runId].time = indices.map(i => timeArr[i]); + for (const varName of variableNames) { + const arr = runData[varName]; + if (arr !== undefined) result[runId][varName] = indices.map(i => arr[i]); + } + } else { + if (timeArr) result[runId].time = timeArr; + for (const varName of variableNames) { + if (runData[varName] !== undefined) result[runId][varName] = runData[varName]; + } } } } From 32c4ba172d3b1ce0d8526d4d4d4014c3de1ec2da Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 08:56:16 -0400 Subject: [PATCH 217/226] make it easier for the LLM to keep complex model stuff out of models --- agent/config/merlin.md | 3 ++- agent/config/socrates.md | 2 +- agent/tools/builtin/generateQuantitativeModel.js | 15 ++++++++++----- 3 files changed, 13 insertions(+), 7 deletions(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 28790858..346871bd 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -45,6 +45,7 @@ When building or modifying models, work efficiently: - Assume NO limits on model complexity - build as complex as needed - Use arrays when modeling groups of similar entities - Use modules when structure can be componentized + - Use sub-types when discrete entity specializations are appropriate - Include all relevant variables and relationships for completeness 4. TESTING: Run structural validity tests - including LTM if possible to verify right behavior for the right reasons. 5. POLICY ANALYSIS: Identify high-leverage intervention points @@ -115,7 +116,7 @@ Enforce strict validation: **Frequency:** When comparing simulation results from different runs or scenarios ### generate_quantitative_model *(sfd only)* -**When to use:** For sfd models - use arrays and modules when appropriate +**When to use:** For sfd models - use arrays, modules, and sub-types when appropriate ### generate_qualitative_model *(cld only)* **When to use:** For cld models - can be comprehensive diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 4b176703..66833234 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -83,7 +83,7 @@ Focus on educational validation: - Ensure model boundaries are appropriate for learning purposes - Keep variable count reasonable (default 5-10 variables for learning models) - Include 1-2 stocks by default to demonstrate accumulation -- Avoid arrays and modules unless specifically and forcefully requested +- Avoid arrays, modules, and sub-types unless the user explicitly requests them — generally pass `allowArrays: false`, `allowModules: false`, and `allowSubTypes: false` when calling `generate_quantitative_model` - Test with simple scenarios that build intuition - CRITICAL: Always verify behavior comes from correct feedback mechanisms - Explicitly critique model structure: check loop polarities, missing feedbacks, and unrealistic formulations diff --git a/agent/tools/builtin/generateQuantitativeModel.js b/agent/tools/builtin/generateQuantitativeModel.js index e1e5da58..26df6c33 100644 --- a/agent/tools/builtin/generateQuantitativeModel.js +++ b/agent/tools/builtin/generateQuantitativeModel.js @@ -18,6 +18,9 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s parameters: z.object({ problemStatement: z.string().optional().describe('Description of dynamic issue to address'), backgroundKnowledge: z.string().optional().describe('Background information for LLM'), + allowArrays: z.boolean().optional().describe('Whether to use subscripted/array variables to represent multiple parallel entities (e.g., age groups, regions, sectors)'), + allowModules: z.boolean().optional().describe('Whether to organize the model into separate named modules'), + allowSubTypes: z.boolean().optional().describe('Whether to use sub-types that support discrete elements like conveyors, queues, and ovens'), }).optional() }), handler: async ({ prompt, difficulty, parameters }) => { @@ -30,12 +33,14 @@ export function createGenerateQuantitativeModelTool(sessionManager, sessionId, s const underlyingModel = difficulty === 'normal' ? config.buildDefaultModel : config.agentToolHighEffortBuildDefaultModel; const currentModel = sessionManager.getClientModel(sessionId); - const sessionCapabilities = { - supportsArrays: session.supportsArrays, - supportsModules: session.supportsModules, - supportsSubTypes: session.supportsSubTypes + const mergedParameters = { + ...parameters, + supportsArrays: session.supportsArrays && (parameters?.allowArrays ?? true), + supportsModules: session.supportsModules && (parameters?.allowModules ?? true), + supportsSubTypes: session.supportsSubTypes && (parameters?.allowSubTypes ?? true), + underlyingModel, + clientId: session.clientId }; - const mergedParameters = { ...sessionCapabilities, ...parameters, underlyingModel, clientId: session.clientId }; const result = await callQuantitativeEngine(prompt, currentModel, mergedParameters); From 83765a1521c558dbfb37595e0b90b37126a9267b Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 08:58:44 -0400 Subject: [PATCH 218/226] the agent eval runner needs to support modules (for tests) and pysd supports arrays. --- agent/utilities/AgentEvalRunner.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/agent/utilities/AgentEvalRunner.js b/agent/utilities/AgentEvalRunner.js index 78581085..e37084c4 100644 --- a/agent/utilities/AgentEvalRunner.js +++ b/agent/utilities/AgentEvalRunner.js @@ -183,8 +183,8 @@ export async function runAgent(prompt, currentModel, parameters) { currentModel || { variables: [], relationships: [] }, [], { - supportsArrays: false, - supportsModules: false, + supportsArrays: true, + supportsModules: true, supportsSubTypes: false }, 'eval-client' From e505112ec4ddb73ad5c704ece593cd761efe7fb5 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 09:00:50 -0400 Subject: [PATCH 219/226] properly handle feedback content in the agent eval harness --- agent/utilities/AgentEvalRunner.js | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/agent/utilities/AgentEvalRunner.js b/agent/utilities/AgentEvalRunner.js index e37084c4..9b49edb7 100644 --- a/agent/utilities/AgentEvalRunner.js +++ b/agent/utilities/AgentEvalRunner.js @@ -305,15 +305,15 @@ export async function runAgent(prompt, currentModel, parameters) { } case 'feedback_request': { - let feedbackLoops; + let resolvedFeedbackContent; if (feedbackContent) { - feedbackLoops = feedbackContent.feedbackLoops || []; + resolvedFeedbackContent = feedbackContent; } else { const model = sessionManager.getClientModel(sessionId); - feedbackLoops = findFeedbackLoops(model?.relationships); + resolvedFeedbackContent = { feedbackLoops: findFeedbackLoops(model?.relationships) }; } const frReqId = message.requestId; - const frPayload = { feedbackContent: { feedbackLoops }, runIds: message.runIds }; + const frPayload = { feedbackContent: resolvedFeedbackContent, runIds: message.runIds }; setImmediate(() => resolvePending(sessionManager.getSession(sessionId)?.pendingFeedbackRequests, frReqId, frPayload)); break; } From 98bec7e9b09ee61e03cad29f0c55a32c9062acc2 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 15:32:52 -0400 Subject: [PATCH 220/226] potential fix for not writing the model to the session temp dir --- agent/WebSocket.js | 72 ++++++++--- agent/utilities/SessionManager.js | 109 ++++++++++++++--- tests/agent/SessionManager.test.js | 184 +++++++++++++++++++++++++++++ 3 files changed, 327 insertions(+), 38 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index ca7978d6..1d68847a 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -155,11 +155,13 @@ export class WebSocketHandler { case 'stop_iteration': await this.#handleStopIteration(message); break; - case 'disconnect': - this.#killWorker(); - this.#sessionManager.deleteSession(this.#sessionId); + case 'disconnect': { + const sessionId = this.#sessionId; + await this.#killWorker(); + this.#sessionManager.deleteSession(sessionId); this.#ws.close(1000, 'Client requested disconnect'); break; + } default: await this.#sendToClient(createErrorMessage(this.#sessionId, `Unknown message type: ${message.type}`, 'UNKNOWN_MESSAGE_TYPE')); } @@ -301,6 +303,10 @@ export class WebSocketHandler { liveWorkers.add(this.#worker); this.#setupWorkerRelay(this.#worker); + // Let SessionManager's stale-cleanup path await worker exit before + // rmSync'ing the bwrap bind-mount source. + this.#sessionManager.setWorkerTeardown(this.#sessionId, () => this.#killWorker()); + const session = this.#sessionManager.getSession(this.#sessionId); if (!this.#worker.connected) { throw new Error('Worker process failed to start (sandbox may not be available)'); @@ -403,34 +409,62 @@ export class WebSocketHandler { } } - #onClose(code, reason) { + async #onClose(code, reason) { logger.log(`WebSocket closed: ${this.#sessionId} (code: ${code}, reason: ${reason})`); if (this.#sessionId) { - this.#killWorker(); - this.#sessionManager.deleteSession(this.#sessionId); + const sessionId = this.#sessionId; + const startedAt = Date.now(); + await this.#killWorker(); + const elapsed = Date.now() - startedAt; + logger.log(`[session:${sessionId}] Worker shutdown completed in ${elapsed}ms; deleting session`); + this.#sessionManager.deleteSession(sessionId); } } - #onError(error) { + async #onError(error) { logger.error(`WebSocket error for session ${this.#sessionId}:`, error); if (this.#sessionId) { - this.#killWorker(); - this.#sessionManager.deleteSession(this.#sessionId); + const sessionId = this.#sessionId; + await this.#killWorker(); + this.#sessionManager.deleteSession(sessionId); } } + // Returns a promise that resolves once the worker process has actually exited + // (or after the SIGKILL fallback fires). Callers that destroy the session temp + // directory MUST await this — bwrap's `--bind` source vanishing under a live + // sandbox produces ENOENT on writes from inside the container. #killWorker() { - if (this.#worker) { - if (this.#worker.connected) { - try { this.#worker.send({ type: 'shutdown' }); } catch { /* already dead */ } - } - // Give it a moment to exit cleanly; force-kill if it doesn't - const w = this.#worker; - liveWorkers.delete(w); - const t = setTimeout(() => { try { killWorkerProcess(w, 'SIGKILL'); } catch { /* already dead */ } }, 2000); - this.#worker.once('exit', () => clearTimeout(t)); - this.#worker = null; + if (!this.#worker) return Promise.resolve(); + const w = this.#worker; + const sessionId = this.#sessionId; + this.#worker = null; + liveWorkers.delete(w); + if (w.connected) { + try { w.send({ type: 'shutdown' }); } catch { /* already dead */ } } + return new Promise((resolve) => { + let settled = false; + const settle = () => { if (!settled) { settled = true; resolve(); } }; + + const sigkillTimer = setTimeout(() => { + logger.warn(`[worker:${sessionId}] did not exit within 2s of shutdown — sending SIGKILL`); + try { killWorkerProcess(w, 'SIGKILL'); } catch { /* already dead */ } + }, 2000); + + // Safety: if 'exit' was already emitted before we attached (or never + // fires), don't hang the session-cleanup path forever. + const fallbackTimer = setTimeout(() => { + logger.warn(`[worker:${sessionId}] exit event not received 4s after shutdown — proceeding with cleanup`); + settle(); + }, 4000); + + w.once('exit', () => { + clearTimeout(sigkillTimer); + clearTimeout(fallbackTimer); + settle(); + }); + }); } /** diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index 7c4ed878..f7884532 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -26,9 +26,12 @@ export class SessionManager { constructor(options = {}) { this.sessions = new Map(); - // Use configured temp directory or default to OS tmpdir - const baseTempDir = config.agentSessionTempDir || tmpdir(); - this.tempBasePath = join(baseTempDir, 'sd-agent'); + // Use explicit override (mainly for isolation in tests) > configured temp + // directory > OS tmpdir. The 'sd-agent' suffix is only applied to the + // defaulted path so callers passing tempBasePath get exactly what they ask + // for (no sibling SessionManagers reaping their dirs as "orphans"). + this.tempBasePath = options.tempBasePath + || join(config.agentSessionTempDir || tmpdir(), 'sd-agent'); // Configuration this.maxSessions = options.maxSessions || 1000; @@ -98,7 +101,12 @@ export class SessionManager { pendingToolCalls: new Map(), // Agent conversation context (for Claude Agent SDK) - conversationContext: [] + conversationContext: [], + + // Async hook installed by WebSocketHandler so stale-session cleanup can + // wait for the worker to exit before rmSync removes the bwrap bind-mount + // source. Null when no worker is running for this session. + workerTeardown: null, }; this.sessions.set(sessionId, session); @@ -140,6 +148,7 @@ export class SessionManager { modelTokenCount: 0, pendingToolCalls: new Map(), conversationContext: [], + workerTeardown: null, }; this.sessions.set(sessionId, session); @@ -147,6 +156,18 @@ export class SessionManager { return sessionId; } + /** + * Install an async teardown hook the cleanup path will await before rmSync'ing + * the session temp dir. Used to keep the worker's bwrap `--bind` source alive + * until the worker process has actually exited. + */ + setWorkerTeardown(sessionId, teardownFn) { + const session = this.sessions.get(sessionId); + if (session) { + session.workerTeardown = teardownFn; + } + } + /** * Get a session by ID */ @@ -265,7 +286,13 @@ export class SessionManager { try { writeFileSync(modelPath, JSON.stringify(model, null, 2)); } catch (err) { - logger.error(`[${sessionId}] Failed to write model to '${modelPath}':`, err); + // ENOENT here on a path whose parent we just mkdir'd usually means the + // host removed the bwrap bind-mount source out from under this worker + // (e.g. WebSocket closed and triggered cleanupSessionTempDir while we + // were mid-tool-call). Capture the directory state so the post-mortem + // confirms the race rather than guessing. + const dirExists = existsSync(sessionTempDir); + logger.error(`[${sessionId}] Failed to write model to '${modelPath}' (sessionTempDir exists=${dirExists}):`, err); throw new Error(`Failed to write model to '${modelPath}': ${err.message}`); } const message = `The model has been written to disk at: ${modelPath}. Other tools will load it automatically — you do not need to read this file. Use the read_model_section tool if you need to inspect specific sections.`; @@ -587,37 +614,81 @@ ${conversationText}`; } /** - * Start cleanup timer for stale sessions and orphaned temp dirs + * Start cleanup timer for stale sessions and orphaned temp dirs. + * Both sweeps are awaited together so the next interval can't fire a second + * sweep on top of a slow one (worker teardowns can take up to ~4s each). */ #startCleanupTimer() { + this.cleanupInProgress = false; this.cleanupTimer = setInterval(() => { - this.cleanupStaleSessions(); - this.#cleanupOrphanedTempDirs(); + if (this.cleanupInProgress) { + logger.log('SessionManager cleanup cycle still in progress, skipping this tick'); + return; + } + this.cleanupInProgress = true; + Promise.resolve() + .then(() => this.cleanupStaleSessions()) + .then(() => this.#cleanupOrphanedTempDirs()) + .catch((err) => logger.error('Error during cleanup cycle:', err)) + .finally(() => { this.cleanupInProgress = false; }); }, this.cleanupInterval); } /** - * Clean up stale sessions + * Clean up stale sessions. Async because, when a worker is running, we must + * await its exit before deleteSession() rm's the bwrap `--bind` source — a + * write from inside the still-mounted sandbox after the source is gone fails + * with ENOENT (see SessionManager#writeModelToDisk error path). */ - cleanupStaleSessions() { + async cleanupStaleSessions() { const now = Date.now(); - let cleanedCount = 0; + // Snapshot first so deleteSession() calls (which mutate this.sessions) + // during async teardowns can't disturb iteration. + const candidates = []; for (const [sessionId, session] of this.sessions.entries()) { const age = now - session.createdAt; const inactivity = now - session.lastActivity; - if (age > this.maxSessionAge || inactivity > this.sessionTimeout) { - logger.log(`Cleaning up stale session: ${sessionId} (age: ${Math.round(age/1000/60)}m, inactive: ${Math.round(inactivity/1000/60)}m)`); + candidates.push({ sessionId, session, age, inactivity }); + } + } - // Close WebSocket if still open - if (session.ws && session.ws.readyState === 1) { - session.ws.close(1000, 'Session timeout'); - } + let cleanedCount = 0; + for (const { sessionId, session, age, inactivity } of candidates) { + // A concurrent WS close may have already removed it while we were + // awaiting a previous teardown. + if (!this.sessions.has(sessionId)) continue; + + const trigger = age > this.maxSessionAge ? 'max-age' : 'inactivity'; + const hasWorker = typeof session.workerTeardown === 'function'; + logger.log( + `Cleaning up stale session: ${sessionId} (trigger=${trigger}, age=${Math.round(age/1000/60)}m, ` + + `inactive=${Math.round(inactivity/1000/60)}m, hasWorker=${hasWorker}, ` + + `wsReadyState=${session.ws?.readyState ?? 'none'})` + ); + + // Close WebSocket if still open. This will also fire #onClose on the + // handler side, which is idempotent with the teardown we're about to do. + if (session.ws && session.ws.readyState === 1) { + try { session.ws.close(1000, 'Session timeout'); } catch { /* already closing */ } + } - this.deleteSession(sessionId); - cleanedCount++; + // Wait for the worker to actually exit before we let deleteSession + // rmSync the temp dir. #killWorker is safe to call twice (the second + // call sees this.#worker === null and resolves immediately). + if (hasWorker) { + const teardownStart = Date.now(); + try { + await session.workerTeardown(); + logger.log(`[session:${sessionId}] Stale-cleanup worker teardown completed in ${Date.now() - teardownStart}ms`); + } catch (err) { + logger.error(`[session:${sessionId}] Worker teardown failed during stale cleanup (proceeding with delete anyway):`, err); + } } + + this.deleteSession(sessionId); + cleanedCount++; } if (cleanedCount > 0) { diff --git a/tests/agent/SessionManager.test.js b/tests/agent/SessionManager.test.js index e44d1b7d..aaf81bcc 100644 --- a/tests/agent/SessionManager.test.js +++ b/tests/agent/SessionManager.test.js @@ -2,6 +2,8 @@ import { SessionManager } from '../../agent/utilities/SessionManager.js'; import { jest } from '@jest/globals'; import fs from 'fs'; import path from 'path'; +import os from 'os'; +import { randomBytes } from 'crypto'; describe('SessionManager', () => { let sessionManager; @@ -191,4 +193,186 @@ describe('SessionManager', () => { expect(tempFolder).toBeUndefined(); }); }); + + describe('setWorkerTeardown', () => { + it('initializes workerTeardown to null on new sessions', () => { + const sessionId = sessionManager.createSession(null); + // Bypass getSession() so we don't touch lastActivity in assertions + // that other tests might extend. + expect(sessionManager.sessions.get(sessionId).workerTeardown).toBeNull(); + }); + + it('installs a teardown hook on the session', () => { + const sessionId = sessionManager.createSession(null); + const teardown = () => Promise.resolve(); + sessionManager.setWorkerTeardown(sessionId, teardown); + expect(sessionManager.sessions.get(sessionId).workerTeardown).toBe(teardown); + }); + + it('is a no-op for an unknown session id', () => { + expect(() => sessionManager.setWorkerTeardown('nope', () => Promise.resolve())).not.toThrow(); + }); + }); + + describe('cleanupStaleSessions', () => { + // Drive cleanup manually with tight timeouts so we don't depend on the + // 5-minute interval timer. Isolate the temp base so other parallel test + // suites' SessionManager.shutdown() (which calls cleanupOrphanedTempDirs) + // can't reap our session dir as an "orphan". + let sm; + let tempBasePath; + + beforeEach(() => { + tempBasePath = path.join(os.tmpdir(), `sm-cleanup-${randomBytes(8).toString('hex')}`); + sm = new SessionManager({ + maxSessionAge: 50, + sessionTimeout: 50, + disableCleanup: true, + tempBasePath, + }); + }); + + afterEach(() => { + sm.shutdown(); + try { fs.rmSync(tempBasePath, { recursive: true, force: true }); } catch { /* already gone */ } + }); + + it('leaves fresh sessions alone', async () => { + const sessionId = sm.createSession(null); + sm.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + await sm.cleanupStaleSessions(); + + expect(sm.sessions.has(sessionId)).toBe(true); + }); + + it('removes sessions that have exceeded the inactivity timeout', async () => { + const sessionId = sm.createSession(null); + sm.initializeSession(sessionId, 'cld', {}, [], {}, ''); + const tempDir = sm.sessions.get(sessionId).tempDir; + + await new Promise((r) => setTimeout(r, 80)); + await sm.cleanupStaleSessions(); + + expect(sm.sessions.has(sessionId)).toBe(false); + expect(fs.existsSync(tempDir)).toBe(false); + }); + + it('awaits workerTeardown before deleting the session or its temp dir', async () => { + // This is the bug-fix invariant: when a worker is running, the host must + // keep the bind-mount source alive until the worker has actually exited. + const sessionId = sm.createSession(null); + sm.initializeSession(sessionId, 'cld', {}, [], {}, ''); + const tempDir = sm.sessions.get(sessionId).tempDir; + + let dirExistedWhenTeardownCalled = null; + let sessionStillRegisteredAtTeardown = null; + let releaseTeardown; + const teardownGate = new Promise((resolve) => { releaseTeardown = resolve; }); + + sm.setWorkerTeardown(sessionId, () => { + dirExistedWhenTeardownCalled = fs.existsSync(tempDir); + sessionStillRegisteredAtTeardown = sm.sessions.has(sessionId); + return teardownGate; + }); + + await new Promise((r) => setTimeout(r, 80)); + + const cleanupPromise = sm.cleanupStaleSessions(); + + // Let the cleanup loop reach the await on our teardown gate. + await new Promise((r) => setImmediate(r)); + + // Mid-teardown: dir + session must still be present, otherwise a live + // worker would observe its `/session` bind mount yanked. + expect(sm.sessions.has(sessionId)).toBe(true); + expect(fs.existsSync(tempDir)).toBe(true); + + releaseTeardown(); + await cleanupPromise; + + expect(dirExistedWhenTeardownCalled).toBe(true); + expect(sessionStillRegisteredAtTeardown).toBe(true); + expect(sm.sessions.has(sessionId)).toBe(false); + expect(fs.existsSync(tempDir)).toBe(false); + }); + + it('still deletes the session if workerTeardown rejects', async () => { + const sessionId = sm.createSession(null); + sm.initializeSession(sessionId, 'cld', {}, [], {}, ''); + const tempDir = sm.sessions.get(sessionId).tempDir; + + sm.setWorkerTeardown(sessionId, () => Promise.reject(new Error('worker exit failed'))); + + await new Promise((r) => setTimeout(r, 80)); + await sm.cleanupStaleSessions(); + + expect(sm.sessions.has(sessionId)).toBe(false); + expect(fs.existsSync(tempDir)).toBe(false); + }); + + it('closes the WebSocket if it is still open', async () => { + const ws = { readyState: 1, close: jest.fn() }; + const sessionId = sm.createSession(ws); + sm.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + await new Promise((r) => setTimeout(r, 80)); + await sm.cleanupStaleSessions(); + + expect(ws.close).toHaveBeenCalledWith(1000, 'Session timeout'); + }); + + it('does not call ws.close if the WebSocket is already closed', async () => { + const ws = { readyState: 3, close: jest.fn() }; + const sessionId = sm.createSession(ws); + sm.initializeSession(sessionId, 'cld', {}, [], {}, ''); + + await new Promise((r) => setTimeout(r, 80)); + await sm.cleanupStaleSessions(); + + expect(ws.close).not.toHaveBeenCalled(); + // Session should still be removed. + expect(sm.sessions.has(sessionId)).toBe(false); + }); + + it('skips sessions removed concurrently while awaiting another teardown', async () => { + // If a session gets deleted out from under us (e.g. WS close handler + // fires while we are awaiting a slow teardown for a different session), + // cleanupStaleSessions must not call deleteSession on it again. + const sessionA = sm.createSession(null); + sm.initializeSession(sessionA, 'cld', {}, [], {}, ''); + const sessionB = sm.createSession(null); + sm.initializeSession(sessionB, 'cld', {}, [], {}, ''); + const tempA = sm.sessions.get(sessionA).tempDir; + const tempB = sm.sessions.get(sessionB).tempDir; + + let releaseA; + const aGate = new Promise((resolve) => { releaseA = resolve; }); + sm.setWorkerTeardown(sessionA, () => aGate); + + const deleteSpy = jest.spyOn(sm, 'deleteSession'); + + await new Promise((r) => setTimeout(r, 80)); + const cleanupPromise = sm.cleanupStaleSessions(); + + // Drop into the await on sessionA's teardown. + await new Promise((r) => setImmediate(r)); + + // Simulate a concurrent WS close removing session B. + sm.deleteSession(sessionB); + expect(fs.existsSync(tempB)).toBe(false); + + releaseA(); + await cleanupPromise; + + // sessionB should have only been deleted once (the concurrent removal). + const bDeletes = deleteSpy.mock.calls.filter(([id]) => id === sessionB).length; + expect(bDeletes).toBe(1); + // sessionA still got cleaned up after its teardown resolved. + expect(sm.sessions.has(sessionA)).toBe(false); + expect(fs.existsSync(tempA)).toBe(false); + + deleteSpy.mockRestore(); + }); + }); }); From 6fb11c34236856486669bb12fa7eee0a33b193d9 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 16:24:13 -0400 Subject: [PATCH 221/226] disallow model.sdjsonn reading by socrates! --- agent/tools/builtin/fileTools.js | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/agent/tools/builtin/fileTools.js b/agent/tools/builtin/fileTools.js index e43b2722..4d8bc502 100644 --- a/agent/tools/builtin/fileTools.js +++ b/agent/tools/builtin/fileTools.js @@ -10,7 +10,7 @@ import { createSuccessResponse, createErrorResponse } from './toolHelpers.js'; export function createReadFileTool() { return { - description: `Read a file from disk and return its contents. Use this to load data files (e.g. variable data, model files) into context after a tool has written them to disk. + description: `Read a file from disk and return its contents. Use this to load data files (e.g. variable data) into context after a tool has written them to disk. NEVER use this to read model.sdjson — use the read_model_section tool to inspect the model. Filtering options to avoid reading more than needed: - startLine / endLine: read a specific line range (1-based, inclusive) @@ -26,6 +26,9 @@ Filtering options to avoid reading more than needed: }), handler: async ({ filePath, startLine, endLine, search, maxLines }) => { try { + if (filePath.endsWith('model.sdjson')) { + return createErrorResponse('Reading model.sdjson with read_file is not allowed — use the read_model_section tool to inspect the model.'); + } if (!existsSync(filePath)) { return createErrorResponse(`File not found: ${filePath}`); } From 1498aae3b3ca3328297565b8afa208eb2bb02d52 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 18:55:45 -0400 Subject: [PATCH 222/226] run with claude defaults... its more efficient this way on our tasks --- config.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/config.js b/config.js index bd0c4982..81c74380 100644 --- a/config.js +++ b/config.js @@ -29,9 +29,9 @@ const config = { "agentAnthropicSummaryModel": 'claude-haiku-4-5', // Model used for conversation history summarization MUST BE Anthropic models "agentGeminiModel": 'gemini-3.5-flash', // Model used for agent conversations MUST BE gemini models "agentGeminiSummaryModel": 'gemini-3.1-flash-lite-preview', // Model used for conversation history summarization MUST BE gemini models - "agentAnthropicEffort": "low", - "agentAnthropicThinking": { type: "disabled" }, - "agentGeminiThinking": { thinkingLevel: ThinkingLevel.LOW }, + "agentAnthropicEffort": "medium", + "agentAnthropicThinking": { type: "enabled", "budget_tokens": 10000 }, + "agentGeminiThinking": { thinkingLevel: ThinkingLevel.MEDIUM }, "agentToolHighEffortBuildDefaultModel": 'gemini-3.5-flash high', //LLMWrapper underlyingModel default for building model tools "agentToolHighEffortNonBuildDefaultModel": 'gemini-3.5-flash high', //LLMWrapper underlyingModel default for non-building model tools }; From 839b79a6c3078658e869cf7057c50cdd228bb8fd Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 21:06:05 -0400 Subject: [PATCH 223/226] update agent instructions with the new tools that help with optimization/models with controlled values --- agent/config/merlin.md | 21 ++++++++++++++++++++- agent/config/socrates.md | 19 +++++++++++++++++++ 2 files changed, 39 insertions(+), 1 deletion(-) diff --git a/agent/config/merlin.md b/agent/config/merlin.md index 346871bd..c23f81a1 100644 --- a/agent/config/merlin.md +++ b/agent/config/merlin.md @@ -3,7 +3,7 @@ name: "Merlin" role: "Craftsman" description: "Expert Modeler who builds sophisticated System Dynamics models efficiently. Asks only necessary questions, uses arrays and modules when appropriate, and is comfortable with technical complexity." version: "1.0" -max_iterations: 30 +max_iterations: 50 agent_mode: sdk supported_modes: - sfd @@ -272,6 +272,19 @@ Runs a sensitivity analysis. Long-running (minutes to hours). Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. - `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model +#### Parameter Tools + +**`get_changed_parameters`** +Returns all parameters in the model that have been changed from their default (equation) values, including graphical functions. +- No parameters +- Returns: `{ parameters: [{ name, value, originalValue?, source }] }` — `value` is a number string for scalars or an array of `{ x, y }` points for graphical functions; `source` indicates what changed the parameter (e.g. `"Interactive"`, `"Optimization"`, `"Sensitivity"`) + +**`restore_parameters`** +Restores parameters (including graphical functions) to their default (equation) values. Can target a single parameter or all input/output/devices at once. +- `action` (enum: `"restore_parameter"`, `"restore_inputs"`, `"restore_outputs"`, `"restore_all_devices"`) — required +- `parameterName` (string) — fully qualified parameter name; required when `action` is `"restore_parameter"` +- **Note:** `restore_outputs` and `restore_all_devices` also delete run data + --- ### Tool Usage Policies @@ -317,6 +330,12 @@ Runs the auto-layout algorithm to reposition diagram elements. All existing manu #### `auto_layout_model` *(sfd + cld)* **When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. +#### `get_changed_parameters` *(sfd only)* +**When to use:** When the user asks what parameters have been changed, before restoring parameters, or before running an optimization to understand the current parameter state. + +#### `restore_parameters` *(sfd only)* +**When to use:** When the user wants to reset parameters to their equation values. Prefer `"restore_parameter"` for targeted resets; use bulk actions (`"restore_inputs"`, `"restore_outputs"`, `"restore_all_devices"`) only when the user explicitly wants a broad reset. Warn the user before calling `"restore_outputs"` or `"restore_all_devices"` since both delete unsaved run data. + --- ### Action Sequences diff --git a/agent/config/socrates.md b/agent/config/socrates.md index 66833234..9444e9a6 100644 --- a/agent/config/socrates.md +++ b/agent/config/socrates.md @@ -294,6 +294,19 @@ Runs a sensitivity analysis. Can take a long time. Runs the auto-layout algorithm to reposition diagram elements. All existing manual positioning within the target scope is discarded and a fresh layout is computed. - `module` (string, optional) — name of the module to re-layout; pass `"*"` or omit to re-layout the entire model +#### Parameter Tools + +**`get_changed_parameters`** +Returns all parameters in the model that have been changed from their default (equation) values, including graphical functions. +- No parameters +- Returns: `{ parameters: [{ name, value, originalValue?, source }] }` — `value` is a number string for scalars or an array of `{ x, y }` points for graphical functions; `source` indicates what changed the parameter (e.g. `"Interactive"`, `"Optimization"`, `"Sensitivity"`) + +**`restore_parameters`** +Restores parameters (including graphical functions) to their default (equation) values. Can target a single parameter or all input/output/devices at once. +- `action` (enum: `"restore_parameter"`, `"restore_inputs"`, `"restore_outputs"`, `"restore_all_devices"`) — required +- `parameterName` (string) — fully qualified parameter name; required when `action` is `"restore_parameter"` +- **Note:** `restore_outputs` and `restore_all_devices` also delete run data + --- ### Tool Usage Policies @@ -343,6 +356,12 @@ Runs the auto-layout algorithm to reposition diagram elements. All existing manu #### `auto_layout_model` *(sfd + cld)* **When to use:** Only in response to a direct user request. Omit `module` (or pass `"*"`) to re-layout the entire model; pass a specific module name to re-layout only that module. +#### `get_changed_parameters` *(sfd only)* +**When to use:** When the user asks what parameters have been changed, before restoring parameters, or to help the user reflect on what they have modified in the model. + +#### `restore_parameters` *(sfd only)* +**When to use:** When the user wants to reset parameters to their defaults. Prefer `"restore_parameter"` for targeted resets; use bulk actions only when the user explicitly asks. Always warn the user before calling `"restore_outputs"` or `"restore_all_devices"` since both delete unsaved run data — confirm before proceeding. + --- ### Action Sequences From 4f48ddd8360b115dd2a29cdb8079bcce64634b52 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Wed, 20 May 2026 21:23:14 -0400 Subject: [PATCH 224/226] fixed the anthropic manual route with thinking enabled --- agent/AgentOrchestrator.js | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/agent/AgentOrchestrator.js b/agent/AgentOrchestrator.js index d3ecc549..cd5a6078 100644 --- a/agent/AgentOrchestrator.js +++ b/agent/AgentOrchestrator.js @@ -255,11 +255,10 @@ export class AgentOrchestrator { const thinkingEnabled = config.agentAnthropicThinking?.type !== 'disabled'; const response = await this.anthropic.messages.create({ model: config.agentAnthropicModel, - max_tokens: 8192, + max_tokens: Math.max(8192, (config.agentAnthropicThinking?.budget_tokens || 0) + 2048), system: systemBlocks, messages: messages, thinking: config.agentAnthropicThinking, - ...(thinkingEnabled && { effort: config.agentAnthropicEffort }), tools: tools.length > 0 ? tools : undefined }); From 4d668a0011a76f27f5cf5fae89f642a6dda13d2d Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 21 May 2026 09:05:18 -0400 Subject: [PATCH 225/226] another shot at not being able to write model.sdjson --- agent/WebSocket.js | 55 ++++++++++++++++++++++++++++++++++++------ agent/WorkerSpawner.js | 22 ++++++++++++++++- 2 files changed, 68 insertions(+), 9 deletions(-) diff --git a/agent/WebSocket.js b/agent/WebSocket.js index 1d68847a..d7ddf901 100644 --- a/agent/WebSocket.js +++ b/agent/WebSocket.js @@ -85,6 +85,12 @@ export class WebSocketHandler { #sessionManager; #sessionId = null; #worker = null; + // Promise for an in-flight WorkerSpawner.spawn(). #onClose/#onError/disconnect + // must await this before deleteSession runs rmSync on the session temp dir — + // otherwise the bwrap bind-mount source vanishes mid-spawn and the worker + // hits ENOENT on /session/ipc-*.sock (during connect) or /session/model.sdjson + // (during writes). Null when no spawn is in flight. + #workerSpawnPromise = null; // True on the first chat message after a select_agent — tells worker to bridge context #pendingAgentSwitch = false; @@ -157,7 +163,7 @@ export class WebSocketHandler { break; case 'disconnect': { const sessionId = this.#sessionId; - await this.#killWorker(); + await this.#waitForSpawnAndKill(); this.#sessionManager.deleteSession(sessionId); this.#ws.close(1000, 'Client requested disconnect'); break; @@ -277,7 +283,11 @@ export class WebSocketHandler { } catch (err) { logger.warn(`[session:${this.#sessionId}] Could not retrieve context from old worker: ${err.message}`); } - this.#killWorker(); + // Must await — both spawn (below) and any concurrent #onClose use the + // same tempDir. Spawning a new bwrap while the old worker is still + // alive shares the bind-mount source; letting #onClose race ahead would + // rmSync that source out from under either worker. + await this.#killWorker(); } // Guard: the WS may have closed during the async context fetch above. @@ -286,13 +296,30 @@ export class WebSocketHandler { if (this.#ws.readyState !== 1) return; const tempDir = this.#sessionManager.getSessionTempDir(this.#sessionId); - this.#worker = await WorkerSpawner.spawn(this.#sessionId, tempDir); + // Publish the in-flight spawn so #onClose/#onError/disconnect can await + // it before deleteSession runs rmSync on tempDir. Without this, a WS + // close arriving during bwrap retry delays (up to 9s) lets the cleanup + // path rm the bind-mount source mid-spawn — the worker then hits + // ENOENT on /session/ipc-*.sock the moment it tries to connect. + const spawnPromise = WorkerSpawner.spawn(this.#sessionId, tempDir); + this.#workerSpawnPromise = spawnPromise; + try { + this.#worker = await spawnPromise; + } finally { + if (this.#workerSpawnPromise === spawnPromise) { + this.#workerSpawnPromise = null; + } + } // Guard: WS may have closed during bwrap retry delays (up to 9s). if (this.#ws.readyState !== 1) { - this.#killWorker(); - // If the session was already deleted by #onClose, a retry attempt may - // have re-created the temp dir via mkdirSync after deleteSession's + // Await — the worker process is alive and bind-mounted to tempDir. + // cleanupSessionTempDir below rmSync's that source synchronously, so + // the worker must be reaped first or it'll write into a vanished + // bind mount (root cause of the model.sdjson ENOENT). + await this.#killWorker(); + // If the session was already deleted by #onClose, the spawn's + // mkdirSync may have re-created the temp dir after deleteSession's // rmSync removed it. Clean it up so it doesn't become orphaned. if (!this.#sessionManager.getSession(this.#sessionId)) { this.#sessionManager.cleanupSessionTempDir(tempDir); @@ -414,7 +441,7 @@ export class WebSocketHandler { if (this.#sessionId) { const sessionId = this.#sessionId; const startedAt = Date.now(); - await this.#killWorker(); + await this.#waitForSpawnAndKill(); const elapsed = Date.now() - startedAt; logger.log(`[session:${sessionId}] Worker shutdown completed in ${elapsed}ms; deleting session`); this.#sessionManager.deleteSession(sessionId); @@ -425,11 +452,23 @@ export class WebSocketHandler { logger.error(`WebSocket error for session ${this.#sessionId}:`, error); if (this.#sessionId) { const sessionId = this.#sessionId; - await this.#killWorker(); + await this.#waitForSpawnAndKill(); this.#sessionManager.deleteSession(sessionId); } } + // Cleanup-path helper: wait for any in-flight WorkerSpawner.spawn() to settle, + // then kill the resulting worker. Callers must use this (not bare #killWorker) + // anywhere they're about to deleteSession or rmSync the session temp dir — + // otherwise a WS close arriving mid-spawn lets the cleanup path race ahead of + // bwrap's --bind setup and the worker hits ENOENT on /session. + async #waitForSpawnAndKill() { + if (this.#workerSpawnPromise) { + try { await this.#workerSpawnPromise; } catch { /* spawn rejection is fine — nothing to kill */ } + } + await this.#killWorker(); + } + // Returns a promise that resolves once the worker process has actually exited // (or after the SIGKILL fallback fires). Callers that destroy the session temp // directory MUST await this — bwrap's `--bind` source vanishing under a live diff --git a/agent/WorkerSpawner.js b/agent/WorkerSpawner.js index 38253939..bf33d317 100644 --- a/agent/WorkerSpawner.js +++ b/agent/WorkerSpawner.js @@ -326,7 +326,12 @@ export class WorkerSpawner { try { proc = spawn(bwrapBin, bwrapArgs, { env: workerEnv, - stdio: ['inherit', 'inherit', 'inherit'], + // Pipe stderr (instead of inheriting) so we can prefix lines with + // the session id — concurrent workers' stderr would otherwise + // interleave under a single anonymous fd, making post-mortems + // (like the "IPC socket error: connect ENOENT /session/ipc-*.sock" + // failure seen under concurrent spawns) impossible to attribute. + stdio: ['inherit', 'inherit', 'pipe'], }); } catch (err) { // spawn rarely throws synchronously (most failures emit 'error'), @@ -335,6 +340,21 @@ export class WorkerSpawner { worker.dispose(); throw err; } + if (proc.stderr) { + let buf = ''; + proc.stderr.on('data', (chunk) => { + buf += chunk.toString(); + let nl; + while ((nl = buf.indexOf('\n')) !== -1) { + const line = buf.slice(0, nl); + buf = buf.slice(nl + 1); + if (line.length > 0) logger.error(`[bwrap:${sessionId}] ${line}`); + } + }); + proc.stderr.on('end', () => { + if (buf.length > 0) logger.error(`[bwrap:${sessionId}] ${buf}`); + }); + } worker.attach(proc); // Wait for either a successful IPC connection or an early bwrap exit. From a2dcd6765319c71ad4e3ea2b245f91a525ad3964 Mon Sep 17 00:00:00 2001 From: Billy Schoenberg Date: Thu, 21 May 2026 12:11:34 -0400 Subject: [PATCH 226/226] each services gets its own portion of the temp dir to manage, and doesn't interfere with the others anymore! --- agent/utilities/SessionManager.js | 77 ++++++++++++++++++++++++++++--- 1 file changed, 71 insertions(+), 6 deletions(-) diff --git a/agent/utilities/SessionManager.js b/agent/utilities/SessionManager.js index f7884532..c144fcc0 100644 --- a/agent/utilities/SessionManager.js +++ b/agent/utilities/SessionManager.js @@ -1,6 +1,6 @@ import { randomBytes } from 'crypto'; import { tmpdir } from 'os'; -import { join } from 'path'; +import { dirname, join } from 'path'; import { existsSync, mkdirSync, readdirSync, rmSync, writeFileSync } from 'fs'; import Anthropic from '@anthropic-ai/sdk'; import { GoogleGenAI } from '@google/genai'; @@ -26,12 +26,18 @@ export class SessionManager { constructor(options = {}) { this.sessions = new Map(); - // Use explicit override (mainly for isolation in tests) > configured temp - // directory > OS tmpdir. The 'sd-agent' suffix is only applied to the - // defaulted path so callers passing tempBasePath get exactly what they ask - // for (no sibling SessionManagers reaping their dirs as "orphans"). + // Use explicit override (mainly for isolation in tests) > per-process + // subdirectory under the configured temp directory > OS tmpdir. + // + // The `pid-${process.pid}` segment is critical under PM2 cluster mode + // (or any multi-process deployment sharing AGENT_SESSION_TEMP_DIR): + // #cleanupOrphanedTempDirs reads `this.tempBasePath` and removes anything + // not in *its own* this.sessions map. Without per-pid namespacing each + // process would rm-rf its sibling processes' active session dirs on the + // 5-minute cleanup tick, breaking the bwrap bind mount under live workers + // (the root cause of the /session/*.json ENOENT errors). this.tempBasePath = options.tempBasePath - || join(config.agentSessionTempDir || tmpdir(), 'sd-agent'); + || join(config.agentSessionTempDir || tmpdir(), 'sd-agent', `pid-${process.pid}`); // Configuration this.maxSessions = options.maxSessions || 1000; @@ -45,6 +51,17 @@ export class SessionManager { mkdirSync(this.tempBasePath, { recursive: true }); } + // Flag (but don't reap) pid-* siblings whose owning process is no longer + // alive — leftovers from PM2 restarts/crashes where the dying process + // couldn't run its own shutdown cleanup. We avoid auto-reaping because + // PID reuse plus a false-positive "dead" check could rm a live sibling's + // bind-mount source out from under its worker (the exact failure mode + // the per-pid layout exists to prevent). Operators can clear stale + // pid-* dirs manually when the log surfaces them. + if (!options.tempBasePath && !options.disableCleanup) { + this.#flagDeadProcessDirs(); + } + // Start cleanup timer (disabled in worker processes — lifetime managed by main) if (!options.disableCleanup) { this.#startCleanupTimer(); @@ -53,6 +70,54 @@ export class SessionManager { logger.log(`SessionManager initialized. Temp base: ${this.tempBasePath}`); } + /** + * Scan the parent `sd-agent` directory for `pid-*` subdirs whose owning + * process is no longer alive and log them. Operators should remove these + * manually — we intentionally do NOT auto-reap because PID reuse plus an + * imperfect liveness check could rm a live sibling's bind-mount source. + */ + #flagDeadProcessDirs() { + const parentDir = dirname(this.tempBasePath); + if (!existsSync(parentDir)) return; + + let entries; + try { + entries = readdirSync(parentDir); + } catch (err) { + logger.warn(`Could not scan ${parentDir} for dead pid dirs: ${err.message}`); + return; + } + + const stale = []; + for (const entry of entries) { + if (!entry.startsWith('pid-')) continue; + const pid = Number(entry.slice(4)); + if (!Number.isInteger(pid) || pid <= 0) continue; + if (pid === process.pid) continue; + + let alive = false; + try { + process.kill(pid, 0); + alive = true; + } catch (err) { + // EPERM = process exists but we lack permission; treat as alive. + // ESRCH = no such process — flag as stale. + if (err.code === 'EPERM') alive = true; + } + + if (!alive) stale.push({ entry, pid }); + } + + if (stale.length > 0) { + const summary = stale.map(({ entry, pid }) => `${entry} (pid=${pid})`).join(', '); + logger.warn( + `Found ${stale.length} stale pid-* temp dir(s) under ${parentDir} ` + + `whose owning process is no longer alive: ${summary}. ` + + `Remove manually once confirmed stale.` + ); + } + } + /** * Generate a unique session ID */