examples

Rig examples

Each example is its own package. Run one with:

cargo run -p <example-name>

Most examples expect provider API keys in the environment (e.g. OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, COHERE_API_KEY). See each example's source for specifics.

Example	Description
agent_autonomous	Demonstrates an autonomous extractor loop that keeps feeding its own output back in.
agent_evaluator_optimizer	See source.
agent_orchestrator	See source.
agent_parallelization	See source.
agent_prompt_chaining	Demonstrates prompt chaining with two agents in sequence.
agent_routing	Demonstrates routing one prompt into different follow-up prompts.
agent_run_stepping	Drives the agent loop by hand with the sans-IO [AgentRun] state machine.
agent_stream_chat	Demonstrates stream_chat with prior conversation history.
agent_with_agent_tool	See source.
agent_with_approval_policy	Demonstrates a non-interactive, policy-based HITL gate: an AgentHook auto-approves an allow-list, denies the rest (fail-closed), and applies an arg-based rule (mirrors needs_approval/interrupt_on predicates).
agent_with_context	Demonstrates adding small context documents directly to an agent.
agent_with_default_max_turns	Demonstrates extending the default agent loop budget for tool-heavy prompts.
agent_with_durable_approval	Demonstrates durable HITL: the hand-driven AgentRun is serialized while tool calls are pending and resumed from JSON (as another process would), so approval can happen out-of-process / later.
agent_with_echochambers	See source.
agent_with_human_in_the_loop	Demonstrates human-in-the-loop tool-call approval: an AgentHook pauses on each tool call so a human can approve/deny/edit/abort, mapped onto Flow (cont/skip/rewrite_args/terminate).
agent_with_loaders	Demonstrates loading real example files into agent context.
agent_with_memory_streaming	Demonstrates Rig-managed conversation memory with streaming.
agent_with_memory	Demonstrates Rig-managed conversation memory with an in-memory backend.
agent_with_tools_otel	Agent multi-turn with tools, but with a tracing subscriber that sends all logs/traces to an OTel collector.
agent_with_tools	Demonstrates registering boxed tools on an agent.
agent	Demonstrates the smallest useful agent setup with OpenAI.
calculator_chatbot	See source.
chain	Demonstrates a retrieval-augmented pipeline with parallel! and lookup.
complex_agentic_loop_claude	See source.
custom_vector_store	Example: Implementing a custom vector store backend
debate	See source.
discord_bot	See source.
enum_dispatch	See source.
extractor	Demonstrates typed extraction and extraction with usage metadata.
gemini_deep_research	See source.
gemini_default_api_recovery	Demonstrates recovering from Gemini emitting a legacy default_api tool name.
gemini_extractor_with_rag	See source.
gemini_nanobanana_image_generation	See source.
gemini_stream_kill_token_count	Live Gemini example: obtaining a token-count estimate when a streaming
gemini_video_understanding	Demonstrates Gemini video understanding with provider-specific request parameters.
manual_tool_calls	Demonstrates manual tool-call handling with Agent::completion().
multi_agent	See source.
multi_extract	Demonstrates fan-out structured extraction with try_parallel!.
multi_turn_agent_extended	See source.
multi_turn_agent	See source.
openai_agent_completions_api_otel	This example shows how you can use OpenAI's Completions API.
openai_streaming_per_call_usage	Shows how to inspect per-completion-call usage in an agent stream.
openai_streaming_with_tools_otel	See source.
pdf_agent	See source.
rag_dynamic_tools_multi_turn	See source.
rag_dynamic_tools	See source.
rag_ollama	See source.
rag	See source.
reasoning_loop	See source.
request_hook	Demonstrates observing prompt/response/tool lifecycle events by stacking two AgentHooks with add_hook.
reqwest_middleware	Demonstrates supplying a custom reqwest client with retry middleware.
rmcp_example	An example of how you can use rmcp with Rig to create an MCP friendly agent.
sentiment_classifier	Demonstrates the smallest typed extractor for classification.
transcription	See source.
vector_search_cohere	Demonstrates vector search with separate Cohere document and query embeddings.
vector_search_ollama	Demonstrates vector search against a local Ollama embedding model.
vector_search	Demonstrates embedding documents and querying an in-memory vector index with OpenAI.