diff --git a/.gitignore b/.gitignore index 36f855d..6438809 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,11 @@ ###### Place new entries directly below this line! ###### +# GAIA benchmark data +examples/sandbox_agent/src/nat_sandbox_agent/data/* +!examples/sandbox_agent/src/nat_sandbox_agent/data/attachments/ +examples/sandbox_agent/src/nat_sandbox_agent/data/attachments/* +!examples/sandbox_agent/src/nat_sandbox_agent/data/attachments/.gitkeep + # auto-generated chainlit stuff chainlit.md .chainlit diff --git a/ci/vale/styles/config/vocabularies/nemo-agent-toolkit-examples/accept.txt b/ci/vale/styles/config/vocabularies/nemo-agent-toolkit-examples/accept.txt index 029304e..c53e5ff 100644 --- a/ci/vale/styles/config/vocabularies/nemo-agent-toolkit-examples/accept.txt +++ b/ci/vale/styles/config/vocabularies/nemo-agent-toolkit-examples/accept.txt @@ -43,6 +43,7 @@ Dask Databricks Datadog DB(s?) +[Dd]aytona [Dd]eserialize [Dd]ev [Dd]evcontainer(s?) @@ -59,6 +60,7 @@ Grafana groundedness [Gg]ranularities [Hh]ashable +httpx [Hh]yperparameter(s?) [Ii]nferencing isort @@ -72,6 +74,7 @@ LLM(s?) # https://github.com/logpai/loghub/ Loghub Mem0 +matplotlib Milvus [Mm]ixin MLflow @@ -85,6 +88,7 @@ NIC NIM(s?) npm NumPy +openpyxl NVIDIA OAuth URIs @@ -103,16 +107,20 @@ PDF(s?) Pydantic PyPI pytest +[Pp]yyaml [Rr]erank [Rr]eranker(s?) [Rr]eranking [Rr]edis [Rr]einstall(s?) +reportlab [Rr]eplatform(ing)? [Rr]epo [Rr]etarget(ed?) [Rr]eusability [Rr]untime(s?) +[Ss]andbox(ed|es|ing)? +seaborn [Ss]erializable [Ss]ubclassing [Ss]ubcard(s?) diff --git a/examples/sandbox_agent/Dockerfile b/examples/sandbox_agent/Dockerfile new file mode 100644 index 0000000..7ab3f91 --- /dev/null +++ b/examples/sandbox_agent/Dockerfile @@ -0,0 +1,142 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Sandbox Agent Docker Image +# This image provides a pre-configured environment for sandbox execution +# with all necessary tools and libraries pre-installed. + +FROM python:3.12-slim + +# Metadata +LABEL maintainer="NVIDIA Corporation" +LABEL description="Sandbox Agent execution environment with Python, browser automation, and document generation tools" + +# Set environment variables +ENV DEBIAN_FRONTEND=noninteractive +ENV PYTHONUNBUFFERED=1 +ENV PYTHONDONTWRITEBYTECODE=1 + +# Install system dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + # Basic utilities + curl \ + wget \ + git \ + jq \ + vim \ + unzip \ + # Network tools + ca-certificates \ + # Browser dependencies (for Playwright) + libnss3 \ + libnspr4 \ + libdbus-1-3 \ + libatk1.0-0 \ + libatk-bridge2.0-0 \ + libcups2 \ + libdrm2 \ + libxkbcommon0 \ + libxcomposite1 \ + libxdamage1 \ + libxfixes3 \ + libxrandr2 \ + libgbm1 \ + libasound2 \ + libpango-1.0-0 \ + libcairo2 \ + # Fonts for document generation and browser + fonts-liberation \ + fonts-noto \ + fonts-noto-cjk \ + fonts-dejavu-core \ + # Audio/video processing + ffmpeg \ + # PDF processing + poppler-utils \ + # OCR + tesseract-ocr \ + tesseract-ocr-eng \ + # Document generation dependencies + pandoc \ + # Clean up + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +# Install Python packages +RUN pip install --no-cache-dir --upgrade pip && \ + pip install --no-cache-dir \ + # Data processing + pandas>=2.0.0 \ + numpy>=1.24.0 \ + matplotlib>=3.7.0 \ + seaborn>=0.12.0 \ + # Network requests + requests>=2.31.0 \ + httpx>=0.24.0 \ + beautifulsoup4>=4.12.0 \ + lxml>=4.9.0 \ + # Browser automation + playwright>=1.40.0 \ + # Web search + tavily-python>=0.5.0 \ + # Document generation + python-pptx>=0.6.21 \ + python-docx>=1.1.0 \ + reportlab>=4.0.0 \ + markdown>=3.5.0 \ + # Excel support + openpyxl>=3.1.0 \ + xlrd>=2.0.0 \ + # JSON/YAML + pyyaml>=6.0.0 \ + # Image processing + pillow>=10.0.0 \ + # PDF processing + pdfplumber>=0.10.0 \ + pypdf>=3.0.0 \ + pdf2image>=1.16.0 \ + # OCR + pytesseract>=0.3.10 \ + # Mathematical computation + sympy>=1.12 \ + # Computer vision + opencv-python-headless>=4.8.0 \ + # Speech recognition + faster-whisper>=1.0.0 \ + # Utilities + aiofiles>=23.0.0 \ + python-dateutil>=2.8.0 + +# Create shared directory for Playwright browsers (accessible by all users) +ENV PLAYWRIGHT_BROWSERS_PATH=/opt/playwright-browsers +RUN mkdir -p ${PLAYWRIGHT_BROWSERS_PATH} && chmod 755 ${PLAYWRIGHT_BROWSERS_PATH} + +# Install Playwright browser (Chromium only to reduce size) +RUN playwright install chromium --with-deps + +# Pre-download faster-whisper model so it's available offline +RUN python -c "from faster_whisper import WhisperModel; WhisperModel('tiny')" + +# Create workspace directories +RUN mkdir -p /workspace/input \ + /workspace/output \ + /workspace/temp \ + /workspace/downloads + +# Set working directory +WORKDIR /workspace + +# Default command - keep container running +CMD ["/bin/bash"] diff --git a/examples/sandbox_agent/README.md b/examples/sandbox_agent/README.md new file mode 100644 index 0000000..21f11b1 --- /dev/null +++ b/examples/sandbox_agent/README.md @@ -0,0 +1,373 @@ + + +# Sandbox Agent + +A general-purpose AI agent with sandboxed code execution for the NVIDIA NeMo Agent Toolkit (NAT). + +## Overview + +The Sandbox Agent executes tasks within secure, isolated Docker containers or Daytona cloud sandboxes. All code, commands, and file operations run in complete isolation from the host system. + +**Key Capabilities:** +- Execute shell commands and Python code in isolated containers +- Browse websites and extract content (Playwright for JS, lightweight fetch for static pages) +- Search the web using Tavily AI Search +- Analyze images using a configurable vision LLM +- Read and write files within the sandbox + +## Quick Start + +### Prerequisites + +- Docker (running daemon) +- Python 3.11+ +- [uv](https://docs.astral.sh/uv/getting-started/installation/) package manager +- API keys (see Environment Variables below) + +### Installation + +```bash +cd examples/sandbox_agent + +# Install package +uv pip install -e . --prerelease=allow + +# Build sandbox Docker image +docker build -t nat-sandbox:latest . +``` + +### Environment Variables + +```bash +# Required: LLM access +export NVIDIA_API_KEY="your-nvidia-api-key" + +# Required: Web search +export TAVILY_API_KEY="your-tavily-api-key" # Free at https://tavily.com + +# Optional: OpenAI models +export OPENAI_API_KEY="your-openai-api-key" + +# Optional: Daytona cloud sandboxes +export DAYTONA_API_KEY="your-daytona-api-key" +``` + +### Run the Agent + +```bash +nat run --config_file configs/config.yaml --input "Write a Python program to print the first ten Fibonacci numbers." +``` + +## Available Tools + +| Tool | Location | Description | +|------|----------|-------------| +| `shell` | Sandbox | Execute bash commands (file management, git, curl, etc.) | +| `python` | Sandbox | Execute Python code (data analysis, calculations, API calls) | +| `file_read` | Sandbox | Read file contents | +| `file_write` | Sandbox | Write content to files | +| `web_browse` | Sandbox | Navigate URLs and extract page content (Playwright, JS-rendered) | +| `web_search` | Host | Search the web via Tavily API | +| `web_fetch` | Host | Fetch and convert web pages to markdown (lightweight, static pages) | +| `image_describe` | Host | Analyze images using a vision LLM (optional, requires `vision_llm`) | + +**Sandbox tools** run inside the Docker container with access to `/workspace`. +**Host tools** run on the host machine (API keys stay secure). + +## Configuration + +### Basic Configuration + +```yaml +# configs/config.yaml +llms: + agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.0 + + # Optional: Vision LLM for image analysis (enables image_describe tool) + # vision_llm: + # _type: nim + # model_name: nvidia/llama-4-maverick-17b-128e-instruct + # temperature: 0.0 + # max_tokens: 2048 + +workflow: + _type: sandbox_agent + llm_name: agent_llm + # vision_llm_name: vision_llm # Uncomment to enable image_describe tool + max_iterations: 20 + sandbox_config: + type: docker + image: "nat-sandbox:latest" + memory_limit: "1g" + cpu_limit: 2.0 + network_enabled: true +``` + +### Configuration Options + +| Option | Default | Description | +|--------|---------|-------------| +| `max_iterations` | 20 | Maximum agent reasoning steps | +| `max_observation_tokens` | 10000 | Token limit for tool outputs | +| `vision_llm_name` | null | Vision LLM for `image_describe` tool (optional) | +| `sandbox_config.type` | docker | Sandbox type: `docker` or `daytona` | +| `sandbox_config.image` | python:3.12-slim | Docker image to use | +| `sandbox_config.memory_limit` | 512m | Container memory limit | +| `sandbox_config.cpu_limit` | 1.0 | CPU cores allocated | +| `sandbox_config.network_enabled` | true | Allow network access | +| `sandbox_config.volumes` | {} | Host directories to mount (Docker only) | +| `sandbox_config.environment` | {} | Environment variables to pass | +| `enabled_tools` | null | List of tools to enable (null = all) | +| `sandbox_config.auto_stop_interval` | 30 | Auto-stop interval in minutes (Daytona only) | + +### Using OpenAI Models + +```yaml +llms: + agent_llm: + _type: openai + model_name: gpt-4o + temperature: 0.0 +``` + +### Using Daytona Cloud + +Daytona provides cloud-based sandboxes as an alternative to local Docker containers. + +**Requirements:** +- Install Daytona SDK: `uv pip install daytona-sdk` +- Set `DAYTONA_API_KEY` environment variable + +**Configuration:** +```yaml +workflow: + _type: sandbox_agent + sandbox_config: + type: daytona + api_key: ${DAYTONA_API_KEY} + image: "python:3.12-slim" + cpu: 2 + memory: 4 # GB (max 8) + disk: 10 # GB (max 10) + auto_stop_interval: 30 # minutes +``` + +**Run with Daytona:** +```bash +nat run --config_file configs/config_daytona.yaml --input "Your task here" +``` + +**Limitations:** +- Daytona sandboxes cannot mount local volumes, so file-based tasks (like GAIA with attachments) may have reduced functionality +- Resource limits are lower than Docker (max 10GB disk, 8GB memory) + +## Sandbox Environment + +The sandbox provides an isolated workspace: + +``` +/workspace/ +├── input/ # Input files (mounted or uploaded) +├── output/ # Generated outputs +├── temp/ # Temporary files +└── downloads/ # Downloaded files +``` + +**Pre-installed in nat-sandbox image:** +- Data processing: pandas, NumPy, matplotlib, seaborn, SymPy +- Web: requests, httpx, beautifulsoup4 +- Browser: playwright (Chromium) +- PDF: pdfplumber, pypdf, pdf2image, poppler-utils +- OCR: pytesseract, tesseract-ocr +- Computer vision: opencv-python-headless +- Audio: faster-whisper (with pre-downloaded tiny model), FFmpeg +- Documents: python-pptx, python-docx, reportlab +- Utilities: pillow, pyyaml, openpyxl + +## GAIA Benchmark Evaluation + +The Sandbox Agent is configured for [GAIA benchmark](https://huggingface.co/datasets/gaia-benchmark/GAIA) evaluation. + +### Setup + +1. **Accept the GAIA license** at https://huggingface.co/datasets/gaia-benchmark/GAIA + +2. **Download GAIA attachments** (required for file-based tasks): + ```bash + hf download gaia-benchmark/GAIA --repo-type dataset \ + --include "2023/validation/*" --local-dir /tmp/gaia && \ + mv /tmp/gaia/2023/validation/* data/attachments/ + ``` + +3. **Generate enriched dataset** (add attachment file paths to questions so the agent can find them): + ```bash + python scripts/enrich_gaia_dataset.py + ``` + +4. **Run evaluation:** + ```bash + # Level 2 (default) + GAIA_ATTACHMENTS_DIR=$(pwd)/data/attachments nat eval --config_file configs/config_gaia.yaml + + # Specific level + GAIA_LEVEL=1 GAIA_ATTACHMENTS_DIR=$(pwd)/data/attachments nat eval --config_file configs/config_gaia.yaml + + # With different LLM + LLM_TYPE=openai LLM_MODEL=gpt-4o GAIA_ATTACHMENTS_DIR=$(pwd)/data/attachments nat eval --config_file configs/config_gaia.yaml + ``` + +### Evaluation Metrics + +- **Accuracy**: Answer correctness (RAGAS metric) +- **Runtime**: Average task execution time +- **LLM Latency**: Average LLM response time +- **LLM Calls**: Average number of LLM calls per task + +### Results (February 2026) + +**GPT-5.2 (agent + vision):** + +| Level | Tasks | Accuracy | Description | +|-------|-------|----------|-------------| +| Level 1 | 53 | **69.8%** | Basic tasks | +| Level 2 | 86 | **60.5%** | Intermediate tasks | +| Level 3 | 26 | **38.5%** | Complex tasks | + +**NIM LLaMA-3.3-70B:** + +| Level | Tasks | Accuracy | Description | +|-------|-------|----------|-------------| +| Level 1 | 53 | **33.5%** | Basic tasks | +| Level 2 | 86 | **18.0%** | Intermediate tasks | +| Level 3 | 26 | **11.5%** | Complex tasks | + +*Results depend on model capabilities, sandbox resources, and task types.* + +## Project Structure + +``` +sandbox_agent/ +├── README.md +├── Dockerfile # Sandbox image definition +├── pyproject.toml # Dependencies +├── configs -> src/.../configs # Symlink to configs +├── data -> src/.../data # Symlink to data +│ +├── scripts/ +│ └── enrich_gaia_dataset.py # Generate enriched GAIA parquet +│ +├── src/nat_sandbox_agent/ +│ ├── register.py # Workflow registration +│ │ +│ ├── sandbox/ # Sandbox implementations +│ │ ├── base.py # BaseSandbox abstract class +│ │ ├── docker_sandbox.py # Docker implementation +│ │ ├── daytona_sandbox.py # Daytona cloud implementation +│ │ └── factory.py # Sandbox factory +│ │ +│ ├── tools/ # Tool system +│ │ ├── factory.py # Tool factory +│ │ ├── sandbox/ # Sandbox-side tools +│ │ │ ├── executor.py # Base executor +│ │ │ ├── execution.py # shell, python +│ │ │ ├── file_ops.py # file_read, file_write +│ │ │ └── browser.py # web_browse +│ │ └── host/ # Host-side tools +│ │ ├── web_search.py # web_search +│ │ ├── web_fetch.py # web_fetch +│ │ └── image_describe.py # image_describe (vision LLM) +│ │ +│ ├── prompts/ # System prompts +│ │ └── system_prompt.py +│ │ +│ ├── configs/ # YAML configurations +│ │ ├── config.yaml # Basic setup +│ │ ├── config_daytona.yaml # Daytona cloud +│ │ ├── config_gaia.yaml # GAIA evaluation (Docker) +│ │ └── config_daytona_gaia.yaml # GAIA evaluation (Daytona) +│ │ +│ ├── utils/ # Utilities +│ │ └── answer_cleaning.py # Answer post-processing +│ │ +│ └── data/ +│ ├── attachments/ # GAIA attachments (not in repo) +│ └── gaia_validation_enriched.parquet # Enriched GAIA dataset +│ +└── tests/ # Unit tests +``` + +## Development + +### Running Tests + +```bash +# Install dev dependencies +uv pip install -e ".[dev]" + +# Run all tests +pytest tests/ -v + +# Skip Docker integration tests +pytest tests/ -v -m "not integration" + +# With coverage +pytest tests/ --cov=nat_sandbox_agent +``` + +### Building the Sandbox Image + +```bash +# Build +docker build -t nat-sandbox:latest . + +# Test +docker run -it --rm nat-sandbox:latest python -c "import pandas; print('OK')" +``` + +## Troubleshooting + +**Docker permission denied:** +```bash +sudo usermod -aG docker $USER +# Log out and back in +``` + +**Tavily API not working:** +- Verify `TAVILY_API_KEY` is set +- Check API key at https://app.tavily.com + +**GAIA evaluation fails with missing files:** +- Download attachments from HuggingFace (see GAIA Setup above) +- Verify files exist in `data/attachments/` + +**Out of memory:** +- Increase `memory_limit` in sandbox config +- Use `nat-sandbox:latest` image (optimized) + +**Daytona sandbox issues:** +- Verify `DAYTONA_API_KEY` is set and valid +- Check resource limits (max 10GB disk, 8GB memory) +- Ensure `daytona-sdk` is installed: `uv pip install daytona-sdk` +- Note: Daytona cannot mount local volumes; file-based tasks may fail + +## License + +Apache 2.0 - See LICENSE file for details. diff --git a/examples/sandbox_agent/configs b/examples/sandbox_agent/configs new file mode 120000 index 0000000..750dc18 --- /dev/null +++ b/examples/sandbox_agent/configs @@ -0,0 +1 @@ +src/nat_sandbox_agent/configs \ No newline at end of file diff --git a/examples/sandbox_agent/data b/examples/sandbox_agent/data new file mode 120000 index 0000000..81d071e --- /dev/null +++ b/examples/sandbox_agent/data @@ -0,0 +1 @@ +src/nat_sandbox_agent/data \ No newline at end of file diff --git a/examples/sandbox_agent/docker-compose.yaml b/examples/sandbox_agent/docker-compose.yaml new file mode 100644 index 0000000..d90dfa4 --- /dev/null +++ b/examples/sandbox_agent/docker-compose.yaml @@ -0,0 +1,75 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Docker Compose configuration for Sandbox Agent +# Use this for local development and testing + +version: '3.8' + +services: + # Sandbox Agent API Server + sandbox-agent: + build: + context: . + dockerfile: Dockerfile + image: nat-sandbox:latest + container_name: sandbox-agent + ports: + - "8000:8000" + environment: + - NVIDIA_API_KEY=${NVIDIA_API_KEY} + - LOG_LEVEL=INFO + volumes: + # Mount config files + - ./src/nat_sandbox_agent/configs:/app/configs:ro + # Mount workspace for persistence (optional) + - sandbox-data:/workspace + networks: + - sandbox-network + restart: unless-stopped + + # Phoenix Observability (optional) + phoenix: + image: arizephoenix/phoenix:latest + container_name: phoenix + ports: + - "6006:6006" + environment: + - PHOENIX_ENABLE_AUTH=false + networks: + - sandbox-network + profiles: + - observability + + # Redis for session storage (optional) + redis: + image: redis:7-alpine + container_name: redis + ports: + - "6379:6379" + volumes: + - redis-data:/data + networks: + - sandbox-network + profiles: + - production + +networks: + sandbox-network: + driver: bridge + +volumes: + sandbox-data: + redis-data: diff --git a/examples/sandbox_agent/pyproject.toml b/examples/sandbox_agent/pyproject.toml new file mode 100644 index 0000000..d88ff9d --- /dev/null +++ b/examples/sandbox_agent/pyproject.toml @@ -0,0 +1,86 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools >= 64", "setuptools-scm>=8"] + +[tool.setuptools_scm] +git_describe_command = "git describe --long --first-parent" +root = "../.." + +[project] +name = "nat_sandbox_agent" +dynamic = ["version"] +dependencies = [ + # NAT core + "nvidia-nat[langchain]>=1.5.0a0", + "langchain-core>=0.2.0", + "langgraph>=0.2.0", + + # Docker sandbox + "docker>=7.0.0", + + # Daytona sandbox (optional) + "daytona>=0.1.0", + + # Browser automation + "playwright>=1.40.0", + + # Web search (Tavily API - runs on host, not in sandbox) + "tavily-python>=0.5.0", + + # Web fetch (HTTP + HTML-to-Markdown - runs on host) + "httpx>=0.24.0", + "markdownify>=0.13.0", + + # Document generation + "python-pptx>=0.6.21", + "python-docx>=1.1.0", + "reportlab>=4.0.0", + "markdown>=3.5.0", + + # Data processing + "pandas>=2.0.0", + "numpy>=1.24.0", + + # Utilities + "aiofiles>=23.0.0", +] +requires-python = ">=3.11,<3.14" +description = "Sandbox Agent - A general-purpose agent with sandboxed execution capabilities for NAT" +readme = "README.md" +classifiers = ["Programming Language :: Python"] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0.0", + "pytest-asyncio>=0.21.0", + "pytest-cov>=4.0.0", +] + +# [tool.uv.sources] +# nvidia-nat = { path = "../../..", editable = true } # Disabled: using PyPI version + +# NAT component entry point - this registers the workflow +[project.entry-points.'nat.components'] +nat_sandbox_agent = "nat_sandbox_agent.register" + +[tool.pytest.ini_options] +testpaths = ["tests"] +asyncio_default_fixture_loop_scope = "function" + +[tool.pytest_asyncio] +asyncio_mode = "auto" diff --git a/examples/sandbox_agent/scripts/enrich_gaia_dataset.py b/examples/sandbox_agent/scripts/enrich_gaia_dataset.py new file mode 100644 index 0000000..f34b014 --- /dev/null +++ b/examples/sandbox_agent/scripts/enrich_gaia_dataset.py @@ -0,0 +1,117 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Enrich GAIA dataset by prepending attachment file paths to questions. + +The original GAIA dataset's Question column contains only the question text. +When there's an attachment file, the agent has no way to know which file in +/workspace/input/ belongs to the current task (files are UUID-named). + +This script prepends "[Attached file for this task: /workspace/input/{file_name}]" +to questions that have attachments, so the agent can directly use the correct file. + +Usage: + # From the sandbox_agent directory: + python scripts/enrich_gaia_dataset.py + + # With custom input/output paths: + python scripts/enrich_gaia_dataset.py \ + --input data/attachments/metadata.parquet \ + --output data/gaia_validation_enriched.parquet + + # Read directly from HuggingFace: + python scripts/enrich_gaia_dataset.py \ + --input hf://datasets/gaia-benchmark/GAIA/2023/validation/metadata.parquet +""" + +import argparse +from pathlib import Path + +import pandas as pd + +# Default paths relative to the package data directory +_SCRIPT_DIR = Path(__file__).resolve().parent +_PACKAGE_DATA_DIR = _SCRIPT_DIR.parent / "src" / "nat_sandbox_agent" / "data" +_DEFAULT_INPUT = _PACKAGE_DATA_DIR / "attachments" / "metadata.parquet" +_DEFAULT_OUTPUT = _PACKAGE_DATA_DIR / "gaia_validation_enriched.parquet" + +# Prefix template for attached files +_ATTACHMENT_PREFIX = "[Attached file for this task: /workspace/input/{file_name}]" + + +def enrich_dataset(input_path: str, output_path: str) -> None: + """Enrich GAIA dataset by prepending file paths to questions with attachments. + + Args: + input_path: Path to original GAIA metadata.parquet (local or HF URL). + output_path: Path to write the enriched parquet file. + """ + print(f"Reading dataset from: {input_path}") + df = pd.read_parquet(input_path) + + print(f"Total rows: {len(df)}") + print(f"Columns: {list(df.columns)}") + + # Identify rows with attachments + has_file = df["file_name"].notna() & (df["file_name"] != "") + attachment_count = has_file.sum() + print(f"Rows with attachments: {attachment_count}") + + # Prepend file path to questions that have attachments + enriched_count = 0 + for idx in df[has_file].index: + file_name = df.at[idx, "file_name"] + original_question = df.at[idx, "Question"] + + # Skip if already enriched (idempotent) + if original_question.startswith("[Attached file"): + continue + + prefix = _ATTACHMENT_PREFIX.format(file_name=file_name) + df.at[idx, "Question"] = f"{prefix}\n\n{original_question}" + enriched_count += 1 + + print(f"Enriched {enriched_count} questions (skipped {attachment_count - enriched_count} already enriched)") + + # Write output + output_dir = Path(output_path).parent + output_dir.mkdir(parents=True, exist_ok=True) + df.to_parquet(output_path, index=False) + print(f"Written enriched dataset to: {output_path}") + + # Show a sample + sample = df[has_file].iloc[0] + print(f"\nSample enriched question (first 200 chars):") + print(f" {sample['Question'][:200]}") + + +def main(): + parser = argparse.ArgumentParser(description="Enrich GAIA dataset with attachment file paths") + parser.add_argument( + "--input", "-i", + default=str(_DEFAULT_INPUT), + help=f"Input parquet path (default: {_DEFAULT_INPUT})", + ) + parser.add_argument( + "--output", "-o", + default=str(_DEFAULT_OUTPUT), + help=f"Output parquet path (default: {_DEFAULT_OUTPUT})", + ) + args = parser.parse_args() + + enrich_dataset(args.input, args.output) + + +if __name__ == "__main__": + main() diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/__init__.py new file mode 100644 index 0000000..7ac0618 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/__init__.py @@ -0,0 +1,48 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Sandbox Agent - A general-purpose agent with sandboxed execution capabilities. + +This agent can execute code, browse the web, manipulate files, and generate +documents, all within an isolated sandbox environment (Docker or Daytona). + +Features: + - Shell command execution in isolated containers + - Python code execution for data processing + - Web browsing and content extraction + - Web search using Tavily API (runs on host for security) + - File operations (read, write, list, delete) + - Document generation (PDF, Word, PowerPoint, HTML, Markdown) + +Usage: + # CLI mode + nat run configs/config.yaml + + # Evaluation mode + nat eval configs/config_gaia.yaml +""" + +from importlib.metadata import PackageNotFoundError +from importlib.metadata import version + +try: + __version__ = version("nat_sandbox_agent") +except PackageNotFoundError: + __version__ = "unknown" + +# Import registration to enable NAT component discovery +from . import register + +__all__ = ["register", "__version__"] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/configs/config.yaml b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config.yaml new file mode 100644 index 0000000..30dc1bd --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config.yaml @@ -0,0 +1,82 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Sandbox Agent Configuration +# Basic configuration for running the sandbox agent locally +# +# Required environment variables: +# - NVIDIA_API_KEY or NGC_API_KEY: For NIM LLM access +# - TAVILY_API_KEY: For web search (get free key at https://tavily.com) + +# LLM Configuration +llms: + agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.0 + max_tokens: 4096 + + # Optional: Vision LLM for image analysis (image_describe tool) + # Uncomment to enable the image_describe tool + # vision_llm: + # _type: nim + # model_name: nvidia/llama-4-maverick-17b-128e-instruct + # temperature: 0.0 + # max_tokens: 2048 + +# Workflow Configuration +workflow: + _type: sandbox_agent + llm_name: agent_llm + # vision_llm_name: vision_llm # Uncomment to enable image_describe tool + max_iterations: 20 + max_observation_tokens: 10000 + + # Sandbox configuration + sandbox_config: + type: docker + image: "nat-sandbox:latest" # Use pre-built image with all tools installed + memory_limit: "1g" + cpu_limit: 2.0 + network_enabled: true + + # Enable all tools by default (set to list to limit available tools) + # enabled_tools: + # - shell # Execute bash commands + # - python # Execute Python code + # - file_read # Read file contents + # - file_write # Write file contents + # - web_browse # Browse web pages + # - web_search # Search the web (Tavily) + +# Server and UI configuration +general: + # Frontend Configuration - NAT's FastAPI Server + front_end: + _type: fastapi + host: 0.0.0.0 + port: 8000 + streaming: + enabled: true + # CORS settings - allow NAT UI to connect + cors: + allow_origins: + - "http://localhost:3000" + - "http://127.0.0.1:3000" + allow_methods: + - "*" + allow_headers: + - "*" + diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_daytona.yaml b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_daytona.yaml new file mode 100644 index 0000000..9a69127 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_daytona.yaml @@ -0,0 +1,63 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Sandbox Agent Configuration with Daytona Cloud +# +# Required environment variables: +# - NVIDIA_API_KEY: For NIM LLM access +# - TAVILY_API_KEY: For web search +# - DAYTONA_API_KEY: For Daytona cloud sandboxes + +# LLM Configuration +llms: + agent_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.0 + max_tokens: 4096 + +# Workflow Configuration +workflow: + _type: sandbox_agent + llm_name: agent_llm + max_iterations: 20 + max_observation_tokens: 10000 + + # Daytona sandbox configuration + sandbox_config: + type: daytona + api_key: ${DAYTONA_API_KEY} + image: "python:3.12-slim" + cpu: 1 + memory: 2 # GB + disk: 5 # GB + auto_stop_interval: 30 # minutes + +# Server configuration +general: + front_end: + _type: fastapi + host: 0.0.0.0 + port: 8000 + streaming: + enabled: true + cors: + allow_origins: + - "http://localhost:3000" + - "http://127.0.0.1:3000" + allow_methods: + - "*" + allow_headers: + - "*" diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_daytona_gaia.yaml b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_daytona_gaia.yaml new file mode 100644 index 0000000..3c80eda --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_daytona_gaia.yaml @@ -0,0 +1,103 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# ============================================================================= +# Sandbox Agent - GAIA Benchmark Evaluation Configuration (Daytona) +# ============================================================================= +# +# GAIA benchmark evaluation using Daytona cloud sandboxes. +# +# Usage: +# GAIA_LEVEL=1 nat eval --config_file configs/config_gaia_daytona.yaml +# +# Required Environment Variables: +# - NVIDIA_API_KEY or NGC_API_KEY: For NIM LLM access +# - OPENAI_API_KEY: For OpenAI models (if using) +# - TAVILY_API_KEY: For web search tool +# - DAYTONA_API_KEY: For Daytona cloud sandboxes +# +# ============================================================================= + +# LLM Configuration +llms: + agent_llm: + _type: ${LLM_TYPE:-nim} + model_name: ${LLM_MODEL:-meta/llama-3.3-70b-instruct} + temperature: 0.0 + max_tokens: 8192 + + eval_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.0 + + # Vision LLM for image analysis (image_describe tool) + vision_llm: + _type: ${VISION_LLM_TYPE:-nim} + model_name: ${VISION_LLM_MODEL:-nvidia/llama-4-maverick-17b-128e-instruct} + temperature: 0.0 + max_tokens: 2048 + +# Workflow Configuration +workflow: + _type: sandbox_agent + llm_name: agent_llm + vision_llm_name: vision_llm + max_iterations: ${MAX_ITERATIONS:-50} + max_observation_tokens: 20000 + + # Daytona sandbox configuration + sandbox_config: + type: daytona + api_key: ${DAYTONA_API_KEY} + image: "python:3.12-slim" + cpu: 2 + memory: 4 # GB + disk: 10 # GB (max allowed) + auto_stop_interval: 30 # minutes + +# Evaluation Configuration +eval: + general: + output_dir: ${EVAL_OUTPUT_DIR:-.tmp/nat/sandbox_agent/gaia_eval_daytona/} + max_concurrency: ${MAX_CONCURRENCY:-4} + dataset: + _type: parquet + # Enriched GAIA dataset with attached file paths injected into questions. + # Generated from original metadata.parquet by scripts/enrich_gaia_dataset.py + file_path: data/gaia_validation_enriched.parquet + id_key: task_id + structure: + question_key: Question + answer_key: "Final answer" + filter: + allowlist: + field: + Level: ["${GAIA_LEVEL:-2}"] + + evaluators: + accuracy: + _type: ragas + metric: AnswerAccuracy + llm_name: eval_llm + + runtime: + _type: avg_workflow_runtime + + llm_latency: + _type: avg_llm_latency + + llm_calls: + _type: avg_num_llm_calls diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_gaia.yaml b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_gaia.yaml new file mode 100644 index 0000000..4a2eaab --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/configs/config_gaia.yaml @@ -0,0 +1,128 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# ============================================================================= +# Sandbox Agent - GAIA Benchmark Evaluation Configuration +# ============================================================================= +# +# Parameterized configuration for GAIA benchmark evaluation. +# +# Usage Examples: +# +# 1. Run with default settings (Level 2, NIM LLaMA): +# nat eval src/nat_sandbox_agent/configs/config_gaia.yaml +# +# 2. Run specific level with environment variables: +# GAIA_LEVEL=1 nat eval src/nat_sandbox_agent/configs/config_gaia.yaml +# GAIA_LEVEL=3 nat eval src/nat_sandbox_agent/configs/config_gaia.yaml +# +# 3. Run with OpenAI model: +# LLM_TYPE=openai LLM_MODEL=gpt-5.2 nat eval src/nat_sandbox_agent/configs/config_gaia.yaml +# +# 4. Run with custom output directory: +# EVAL_OUTPUT_DIR=.tmp/my_eval/ nat eval src/nat_sandbox_agent/configs/config_gaia.yaml +# +# Environment Variables: +# - GAIA_LEVEL: GAIA difficulty level (1, 2, or 3). Default: 2 +# - LLM_TYPE: LLM provider type (nim or openai). Default: nim +# - LLM_MODEL: Model name. Default: meta/llama-3.3-70b-instruct +# - EVAL_OUTPUT_DIR: Output directory. Default: .tmp/nat/sandbox_agent/gaia_eval/ +# - MAX_CONCURRENCY: Parallel evaluation tasks. Default: 4 +# - MAX_ITERATIONS: Max agent iterations per task. Default: 50 +# +# Required Environment Variables: +# - NVIDIA_API_KEY or NGC_API_KEY: For NIM LLM access +# - OPENAI_API_KEY: For OpenAI models +# - TAVILY_API_KEY: For web search tool +# - GAIA_ATTACHMENTS_DIR: Absolute path to GAIA attachments directory (for volume mount) +# +# ============================================================================= + +# LLM Configuration +llms: + agent_llm: + _type: ${LLM_TYPE:-nim} + model_name: ${LLM_MODEL:-meta/llama-3.3-70b-instruct} + temperature: 0.0 + max_tokens: 8192 + + eval_llm: + _type: nim + model_name: meta/llama-3.3-70b-instruct + temperature: 0.0 + + # Vision LLM for image analysis (image_describe tool) + vision_llm: + _type: ${VISION_LLM_TYPE:-nim} + model_name: ${VISION_LLM_MODEL:-nvidia/llama-4-maverick-17b-128e-instruct} + temperature: 0.0 + max_tokens: 2048 + +# Workflow Configuration +workflow: + _type: sandbox_agent + llm_name: agent_llm + vision_llm_name: vision_llm + max_iterations: ${MAX_ITERATIONS:-50} + max_observation_tokens: 20000 + + # Sandbox configuration optimized for evaluation + sandbox_config: + type: docker + image: "nat-sandbox:latest" + memory_limit: "4g" + cpu_limit: 4.0 + network_enabled: true + # Mount GAIA attachments directory to sandbox + # Uses data/attachments/ by default; override with GAIA_ATTACHMENTS_DIR env var + volumes: + "${GAIA_ATTACHMENTS_DIR:-}": "/workspace/input" + +# Evaluation Configuration +eval: + general: + output_dir: ${EVAL_OUTPUT_DIR:-.tmp/nat/sandbox_agent/gaia_eval/} + max_concurrency: ${MAX_CONCURRENCY:-4} + dataset: + _type: parquet + # Enriched GAIA dataset with attached file paths injected into questions. + # Generated from original metadata.parquet by scripts/enrich_gaia_dataset.py + file_path: data/gaia_validation_enriched.parquet + id_key: task_id + structure: + question_key: Question + answer_key: "Final answer" + # Filter by GAIA level (1, 2, or 3) + filter: + allowlist: + field: + Level: ["${GAIA_LEVEL:-2}"] + + evaluators: + # Answer accuracy evaluation using RAGAS + accuracy: + _type: ragas + metric: AnswerAccuracy + llm_name: eval_llm + + # Runtime performance metrics + runtime: + _type: avg_workflow_runtime + + llm_latency: + _type: avg_llm_latency + + llm_calls: + _type: avg_num_llm_calls diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/data/attachments/.gitkeep b/examples/sandbox_agent/src/nat_sandbox_agent/data/attachments/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/prompts/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/prompts/__init__.py new file mode 100644 index 0000000..777e337 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/prompts/__init__.py @@ -0,0 +1,23 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Prompts module - System prompts for the sandbox agent.""" + +from nat_sandbox_agent.prompts.system_prompt import SANDBOX_AGENT_SYSTEM_PROMPT +from nat_sandbox_agent.prompts.system_prompt import get_system_prompt + +__all__ = [ + "SANDBOX_AGENT_SYSTEM_PROMPT", + "get_system_prompt", +] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/prompts/system_prompt.py b/examples/sandbox_agent/src/nat_sandbox_agent/prompts/system_prompt.py new file mode 100644 index 0000000..981e4a6 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/prompts/system_prompt.py @@ -0,0 +1,174 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""System prompts for the sandbox agent.""" + +SANDBOX_AGENT_SYSTEM_PROMPT = """\ +You are a powerful AI assistant with access to an isolated sandbox environment \ +where you can execute code, browse the web, and manipulate files. + +## Tools + +### Sandbox Tools +- **shell**: Execute bash commands — file management, downloads (curl, wget), process \ +management, and git. Do NOT use shell for data processing; use python instead. +- **python**: Execute Python code — data analysis (pandas, numpy), calculations, file \ +parsing (JSON, CSV, XML, Excel), API calls, text/image processing (PIL, OpenCV). Save \ +outputs to /workspace/output/. Do NOT use for simple system commands; use shell instead. +- **file_read**: Read file contents from the sandbox. +- **file_write**: Write content to files in the sandbox. +- **web_browse**: Browse a webpage with Playwright Chromium (runs in sandbox). Renders \ +JavaScript. Use 'selector' to target CSS elements. Only use when JavaScript rendering \ +or page interaction is needed — prefer web_fetch otherwise. + +### Host Tools +- **web_search**: Search the web via Tavily. Returns titles, URLs, and snippets. Use \ +this first to find information or relevant URLs. +- **web_fetch**: Fetch a URL and convert to clean Markdown. Fast, lightweight HTTP GET. \ +Use 'start_index' to paginate. Does NOT render JavaScript. **Default to web_fetch** for \ +most URLs. If it returns HTTP 403/405/captcha, retry the same URL with web_browse. +- **image_describe**: Analyze an image file using a vision model. Reads the image from \ +the sandbox and returns a text description. Use for visual content: charts, diagrams, \ +shapes, screenshots, handwritten text, musical notation, photos. For pixel-level \ +processing (cropping, color extraction, OCR coordinates), use python with PIL/OpenCV. + +## Environment + +- **Working Directory**: /workspace + - /workspace/input — user-uploaded files + - /workspace/output — generated output files + - /workspace/temp — temporary files + - /workspace/downloads — downloaded files +- **Privileges**: The sandbox has root privileges. Use `pip install` for Python packages \ +and `apt-get install` for system packages. +- **Error handling**: If a command fails, analyze the error and try alternatives. Be \ +thorough — try multiple methods before giving up. + +## Rules + +### 1. Always Use Tools +- Prefer tools over mental calculation or memory. For any calculation, logic puzzle, or \ +multi-step reasoning, use `python`. +- Do not assume facts — use `web_search` or `web_browse` to verify. +- Do not guess file contents — use `file_read` to examine files. + +### 2. Python Execution +The Python sandbox does NOT automatically return expression values: + +1. **ALWAYS use `print()` for all outputs** — expressions at the end are NOT returned. + ```python + # WRONG — result not visible: + result = 2 + 2 + result + # CORRECT: + result = 2 + 2 + print(result) + ``` +2. **Variables do NOT persist between calls** — each execution starts fresh. Include all \ +code in one call. +3. **Print intermediate results** for complex calculations to aid debugging. +4. **If you see empty stdout**, you forgot `print()` — re-run with it added. + +### 3. Input File Handling +- If the question starts with `[Attached file for this task: /workspace/input/xxx.ext]`, \ +use that exact path — do not search or guess. +- If no attached file, use `shell` with `ls -la /workspace/input` to find files. +- **Choose the right tool by extension**: + - `.xlsx`, `.csv`, `.xls` → `python` (pandas) + - `.pdf` → `python` (pdfplumber) + - `.json`, `.txt`, `.xml` → `file_read` + - `.png`, `.jpg`, `.jpeg`, `.gif`, `.webp`, `.bmp`, `.tiff` → `image_describe` for \ +visual understanding; `python` (PIL/OpenCV) for pixel-level processing + - `.mp3`, `.m4a`, `.wav` → `python` with `faster_whisper.WhisperModel` \ +(pre-installed, "tiny" model pre-downloaded) + - `.pptx` → `python` (python-pptx) + +### 4. Answer Format and Verification +Answer concisely: numbers → bare number; names → just the name; yes/no → just "yes"/"no"; \ +lists → comma-separated. + +**Format Verification** — before answering, check: + +1. **Number Format**: Comma separators? Decimal places? Percentage? Scientific notation? +2. **Unit Requirements**: Include or exclude? Exact unit specified? +3. **Multiple Answers**: Required delimiter? Consistent formatting? +4. **Case Sensitivity**: Lowercase, UPPERCASE, or Title Case as specified? +5. **Date/Time Formats**: Specified format (YYYY-MM-DD, MM/DD/YYYY) and separator? + +### 5. Calculation and Reasoning Verification +1. **Show your work step by step** — break down complex calculations. +2. **Use Python to verify** — don't rely on mental math. +3. **For complex logic or constraint-satisfaction problems** (scheduling, assignments, \ +matching, game rules, puzzles), write Python code to enumerate all possibilities \ +(itertools, backtracking, simulation) rather than reasoning manually. +4. **After getting a result, validate it** — for filtering/counting, print matching items \ +to verify; for math, substitute back to check. +5. **NEVER declare a problem "impossible"** without writing Python code to exhaustively \ +verify. These problems are designed to have solutions. + +### 6. Web Research +1. **State sub-questions explicitly** before searching — break the task into clear steps. +2. **Verify critical facts with a second source** — search with different keywords or \ +check an independent site. +3. **Never assume the first result is correct** — check multiple results for names, \ +dates, and rankings. +4. **When comparing or ranking items**, collect ALL candidates first, then compare in Python. +5. **Re-read the original question** before giving your final answer. +6. **If blocked** (403, captcha) and web_browse also fails: try the Wayback Machine \ +(`https://web.archive.org/web/`), cached versions, or alternative sites. +7. **For video content** (YouTube, etc.): check the description/metadata, auto-generated \ +transcript via web_fetch, or fan wikis/recap articles. +8. **Research workflow**: web_search → get URLs → web_fetch → extract data. + +### 7. Data Extraction Best Practices +1. Verify you're looking at the correct table/section. +2. Match column headers exactly — don't confuse similar columns. +3. Double-check row alignment — ensure correct row. +4. Verify units and scales — watch for thousands, millions, percentages. +5. Cross-reference with other sources when possible. + +### 8. Image Analysis Best Practices +1. **Ask focused questions** with `image_describe` — e.g., "List all chess pieces and \ +positions" rather than "describe this image". +2. **For structured content** (grids, tables, boards, sheet music), ask the vision model \ +to describe position by position or row by row. +3. **Always verify with Python** — use `image_describe` to extract raw data, then compute \ +in Python. Never trust the vision model's calculations. +4. **If incomplete**, call `image_describe` again with a more targeted question. +5. **Combine vision with code** — for charts or annotated diagrams, read data with \ +`image_describe`, process with `python`.""" + + +def get_system_prompt( + additional_instructions: str | None = None, + available_tools: list[str] | None = None, +) -> str: + """Get the system prompt with optional customization. + + Args: + additional_instructions: Additional instructions to append. + available_tools: List of available tool names (for filtering). + + Returns: + The customized system prompt. + """ + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + + if additional_instructions: + prompt += f"\n\n## Additional Instructions\n\n{additional_instructions}" + + if available_tools: + prompt += f"\n\n## Note\nThe following tools are available in this session: {', '.join(available_tools)}" + + return prompt diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/register.py b/examples/sandbox_agent/src/nat_sandbox_agent/register.py new file mode 100644 index 0000000..dc983fc --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/register.py @@ -0,0 +1,317 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Sandbox Agent workflow registration for NAT framework.""" + +import logging +import uuid +from typing import Annotated +from typing import Any + +from langchain_core.messages import AIMessage +from langchain_core.messages import HumanMessage +from langchain_core.messages import SystemMessage +from langgraph.graph import END +from langgraph.graph import START +from langgraph.graph import StateGraph +from langgraph.graph.message import add_messages +from langgraph.prebuilt import ToolNode +from pydantic import Field +from typing_extensions import TypedDict + +from nat.builder.builder import Builder +from nat.builder.framework_enum import LLMFrameworkEnum +from nat.cli.register_workflow import register_function +from nat.data_models.component_ref import LLMRef +from nat.data_models.function import FunctionBaseConfig +from nat_sandbox_agent.prompts import get_system_prompt +from nat_sandbox_agent.sandbox.factory import create_sandbox_from_dict +from nat_sandbox_agent.tools.factory import create_all_tools +from nat_sandbox_agent.utils.answer_cleaning import clean_answer_with_llm + +logger = logging.getLogger(__name__) + +# ============ Configuration Classes ============ + + +class SandboxAgentWorkflowConfig(FunctionBaseConfig, name="sandbox_agent"): + """Configuration for the Sandbox Agent workflow. + + This workflow creates an agent that can execute code, browse the web, + manipulate files, and generate documents within an isolated sandbox + environment. + """ + + # LLM configuration + llm_name: LLMRef = Field( + ..., + description="Reference to the LLM to use for the agent.", + ) + vision_llm_name: LLMRef | None = Field( + default=None, + description="Reference to a vision-capable LLM for image analysis. If None, image_describe tool is disabled.", + ) + + # Agent behavior + max_iterations: int = Field( + default=20, + description="Maximum number of agent iterations before stopping.", + ) + max_observation_tokens: int = Field( + default=10000, + description="Maximum tokens for tool observation results.", + ) + + # Sandbox configuration + sandbox_config: dict[str, Any] = Field( + default_factory=lambda: { + "type": "docker", + "image": "python:3.12-slim", + "memory_limit": "1g", + "cpu_limit": 2.0, + "network_enabled": True, }, + description="Sandbox configuration dictionary.", + ) + + # Tool selection + enabled_tools: list[str] | None = Field( + default=None, + description="List of tool names to enable. If None, all tools are enabled.", + ) + + # Prompts + system_prompt: str | None = Field( + default=None, + description="Custom system prompt. If None, uses the default prompt.", + ) + additional_instructions: str | None = Field( + default=None, + description="Additional instructions to append to the system prompt.", + ) + + +# ============ Agent State ============ + + +class AgentState(TypedDict): + """State for the sandbox agent graph.""" + + messages: Annotated[list, add_messages] + iteration_count: int + sandbox_id: str + + +# ============ Workflow Registration ============ + + +@register_function( + config_type=SandboxAgentWorkflowConfig, + framework_wrappers=[LLMFrameworkEnum.LANGCHAIN], +) +async def sandbox_agent_workflow(config: SandboxAgentWorkflowConfig, builder: Builder): + """Sandbox Agent workflow - Execute tasks in an isolated sandbox environment. + + This workflow creates a ReAct-style agent with access to tools that run + within a sandboxed environment (Docker or Daytona). The agent can: + - Execute shell commands and Python code + - Browse the web and extract content + - Read/write files + - Generate documents in various formats + + Args: + config: Workflow configuration. + builder: NAT builder for dependency injection. + + Yields: + The agent response function. + """ + logger.info("Initializing Sandbox Agent workflow") + + # Generate a session/sandbox ID + session_id = str(uuid.uuid4())[:8] + + # Create sandbox instance + sandbox = create_sandbox_from_dict(config.sandbox_config) + logger.info(f"Created sandbox with config: {config.sandbox_config.get('type', 'docker')}") + + try: + # Start the sandbox + await sandbox.start() + logger.info(f"Sandbox started: {session_id}") + + # Get LLM from builder + llm = await builder.get_llm( + config.llm_name, + wrapper_type=LLMFrameworkEnum.LANGCHAIN, + ) + + # Optional: create vision LLM for image_describe tool + vision_llm = None + if config.vision_llm_name: + vision_llm = await builder.get_llm( + config.vision_llm_name, + wrapper_type=LLMFrameworkEnum.LANGCHAIN, + ) + logger.info(f"Vision LLM created: {config.vision_llm_name}") + + # Create tools bound to this sandbox + # Uses both sandbox tools (shell, python, file_*, web_browse) and + # host tools (web_search, web_fetch, optionally image_describe) + # Convert tokens to chars (approx 4 chars per token) + max_output_chars = config.max_observation_tokens * 4 + tools = create_all_tools( + sandbox=sandbox, + include_tools=config.enabled_tools, + max_output_chars=max_output_chars, + vision_llm=vision_llm, + ) + logger.info(f"Created {len(tools)} tools for sandbox") + + # Bind tools to LLM + llm_with_tools = llm.bind_tools(tools) + + # Build system prompt + system_prompt = config.system_prompt or get_system_prompt( + additional_instructions=config.additional_instructions, + available_tools=[t.name for t in tools] if config.enabled_tools else None, + ) + + # ============ Define Agent Nodes ============ + async def agent_node(state: AgentState) -> dict: + """Agent reasoning node - decides what action to take.""" + messages = state["messages"] + iteration = state.get("iteration_count", 0) + + # Check iteration limit + if iteration >= config.max_iterations: + logger.warning(f"Reached max iterations ({config.max_iterations})") + return { + "messages": [ + AIMessage(content="I've reached the maximum number of steps. " + "Here's a summary of what was accomplished so far.") + ], + "iteration_count": iteration, + } + + # Prepare messages with system prompt + full_messages = [SystemMessage(content=system_prompt)] + list(messages) + + # Call LLM + response = await llm_with_tools.ainvoke(full_messages) + + return { + "messages": [response], + "iteration_count": iteration + 1, + } + + def should_continue(state: AgentState) -> str: + """Decide whether to continue to tools or end.""" + messages = state["messages"] + last_message = messages[-1] + + # Check for tool calls + if hasattr(last_message, "tool_calls") and last_message.tool_calls: + return "tools" + + return END + + # ============ Build Graph ============ + + # Create tool node + tool_node = ToolNode(tools) + + # Build the state graph + graph = StateGraph(AgentState) + + # Add nodes + graph.add_node("agent", agent_node) + graph.add_node("tools", tool_node) + + # Add edges + graph.add_edge(START, "agent") + graph.add_conditional_edges( + "agent", + should_continue, + { + "tools": "tools", END: END + }, + ) + graph.add_edge("tools", "agent") + + # Compile the graph + agent_graph = graph.compile() + + # Calculate recursion limit for invoke + # Each iteration uses 2 recursions (agent -> tools -> agent) + # Add extra buffer for safety + recursion_limit = config.max_iterations * 2 + 10 + + logger.info("Agent graph compiled successfully") + + # ============ Response Function ============ + async def _response_fn(input_message: str) -> str: + """Process user input and return agent response. + + Args: + input_message: User's input message. + + Returns: + Agent's final response. + """ + logger.info(f"Processing input: {input_message[:100]}...") + + initial_state = { + "messages": [HumanMessage(content=input_message)], + "iteration_count": 0, + "sandbox_id": session_id, + } + + try: + # Pass recursion_limit in config + result = await agent_graph.ainvoke( + initial_state, + config={"recursion_limit": recursion_limit}, + ) + + # Extract final response + final_message = result["messages"][-1] + if hasattr(final_message, "content"): + raw_response = final_message.content + else: + raw_response = str(final_message) + + # Clean the answer for GAIA-style evaluation + cleaned_response = await clean_answer_with_llm(llm, input_message, raw_response) + logger.debug(f"Raw response: {raw_response[:100]}...") + logger.debug(f"Cleaned response: {cleaned_response}") + + return cleaned_response + + except Exception as e: + logger.error(f"Error during agent execution: {e}") + return f"An error occurred: {str(e)}" + + yield _response_fn + + except Exception as e: + logger.error(f"Error in sandbox agent workflow: {e}") + raise + + finally: + # Cleanup sandbox + logger.info(f"Cleaning up sandbox: {session_id}") + try: + await sandbox.cleanup() + except Exception as e: + logger.error(f"Error during sandbox cleanup: {e}") diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/__init__.py new file mode 100644 index 0000000..3d58f30 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/__init__.py @@ -0,0 +1,33 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Sandbox module - Provides isolated execution environments.""" + +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.sandbox.base import CommandResult +from nat_sandbox_agent.sandbox.daytona_sandbox import DaytonaSandbox +from nat_sandbox_agent.sandbox.docker_sandbox import DockerSandbox +from nat_sandbox_agent.sandbox.factory import SandboxConfig +from nat_sandbox_agent.sandbox.factory import SandboxType +from nat_sandbox_agent.sandbox.factory import create_sandbox + +__all__ = [ + "BaseSandbox", + "CommandResult", + "DaytonaSandbox", + "DockerSandbox", + "SandboxConfig", + "SandboxType", + "create_sandbox", +] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/base.py b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/base.py new file mode 100644 index 0000000..a8963e8 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/base.py @@ -0,0 +1,163 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Base sandbox interface - Abstract base class for sandbox implementations.""" + +from abc import ABC +from abc import abstractmethod +from dataclasses import dataclass +from types import TracebackType + +# ============ Workspace Constants ============ +# These constants define the standard workspace directory structure. +# All sandbox implementations should use these paths. + +WORKSPACE_ROOT = "/workspace" +WORKSPACE_INPUT = f"{WORKSPACE_ROOT}/input" +WORKSPACE_OUTPUT = f"{WORKSPACE_ROOT}/output" +WORKSPACE_TEMP = f"{WORKSPACE_ROOT}/temp" +WORKSPACE_DOWNLOADS = f"{WORKSPACE_ROOT}/downloads" + +# Command to initialize workspace directories +WORKSPACE_INIT_COMMAND = (f"mkdir -p {WORKSPACE_INPUT} {WORKSPACE_OUTPUT} {WORKSPACE_TEMP} {WORKSPACE_DOWNLOADS}") + +# Default script path for Python execution +DEFAULT_SCRIPT_PATH = f"{WORKSPACE_TEMP}/_script.py" + + +@dataclass +class CommandResult: + """Result of a command execution in the sandbox.""" + + exit_code: int + stdout: str + stderr: str + + @property + def success(self) -> bool: + """Check if the command executed successfully.""" + return self.exit_code == 0 + + def to_dict(self) -> dict: + """Convert to dictionary representation.""" + return { + "exit_code": self.exit_code, + "stdout": self.stdout, + "stderr": self.stderr, + "success": self.success, + } + + +class BaseSandbox(ABC): + """Abstract base class for sandbox implementations. + + This class defines the minimal interface that all sandbox implementations + (Docker, Daytona, etc.) must follow. It provides 5 core methods: + - Lifecycle: start, cleanup + - Execution: run_command + - File I/O: read_file, write_file + """ + + # ============ Lifecycle Management ============ + + @abstractmethod + async def start(self) -> None: + """Start the sandbox environment.""" + pass + + @abstractmethod + async def cleanup(self) -> None: + """Destroy the sandbox completely (cannot be recovered).""" + pass + + # ============ Command Execution ============ + + @abstractmethod + async def run_command( + self, + command: str, + working_dir: str = "/workspace", + timeout: float = 120, + env: dict[str, str] | None = None, + ) -> CommandResult: + """Execute a shell command in the sandbox. + + Args: + command: The shell command to execute. + working_dir: Working directory for the command. + timeout: Maximum execution time in seconds. + env: Additional environment variables. + + Returns: + CommandResult: The result of the command execution. + """ + pass + + # ============ File Operations ============ + + @abstractmethod + async def read_file(self, path: str) -> str: + """Read file content from the sandbox. + + Args: + path: Path to the file in the sandbox. + + Returns: + str: File content as string. + + Raises: + FileNotFoundError: If the file does not exist. + """ + pass + + @abstractmethod + async def read_file_bytes(self, path: str) -> bytes: + """Read file content as bytes from the sandbox. + + Args: + path: Path to the file in the sandbox. + + Returns: + bytes: Raw file content. + + Raises: + FileNotFoundError: If the file does not exist. + """ + pass + + @abstractmethod + async def write_file(self, path: str, content: str) -> None: + """Write content to a file in the sandbox. + + Args: + path: Path to the file in the sandbox. + content: Content to write. + """ + pass + + # ============ Context Manager Support ============ + + async def __aenter__(self) -> "BaseSandbox": + """Async context manager entry - starts the sandbox.""" + await self.start() + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: TracebackType | None, + ) -> None: + """Async context manager exit - cleans up the sandbox.""" + await self.cleanup() diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/daytona_sandbox.py b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/daytona_sandbox.py new file mode 100644 index 0000000..db7702f --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/daytona_sandbox.py @@ -0,0 +1,231 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Daytona cloud-based sandbox implementation.""" + +import asyncio +import logging +import shlex + +from nat_sandbox_agent.sandbox.base import WORKSPACE_INIT_COMMAND +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.sandbox.base import CommandResult + +logger = logging.getLogger(__name__) + + +class DaytonaSandbox(BaseSandbox): + """Daytona cloud-based sandbox implementation. + + This sandbox uses the Daytona cloud service to provide isolated + execution environments. + + Note: Requires `daytona-sdk` package to be installed. + """ + + DEFAULT_IMAGE = "daytonaio/workspace:latest" + + def __init__( + self, + api_key: str, + server_url: str = "https://api.daytona.io", + target: str = "us", + image: str = DEFAULT_IMAGE, + cpu: int = 2, + memory: int = 4, # GB + disk: int = 10, # GB + auto_stop_interval: int = 30, # minutes + ): + """Initialize Daytona sandbox configuration. + + Args: + api_key: Daytona API key for authentication. + server_url: Daytona API server URL. + target: Target region (e.g., "us", "eu"). + image: Docker image to use for the workspace. + cpu: Number of CPU cores. + memory: Memory in GB. + disk: Disk space in GB. + auto_stop_interval: Auto-stop interval in minutes (0 to disable). + """ + self._api_key = api_key + self._server_url = server_url + self._target = target + self._image = image + self._cpu = cpu + self._memory = memory + self._disk = disk + self._auto_stop_interval = auto_stop_interval + + self._client = None + self._sandbox = None + + def _get_client(self): + """Get or create Daytona client.""" + if self._client is None: + try: + from daytona_sdk import Daytona + from daytona_sdk import DaytonaConfig + + config = DaytonaConfig(api_key=self._api_key, ) + self._client = Daytona(config) + except ImportError: + raise ImportError("daytona-sdk package is required for DaytonaSandbox. " + "Install it with: pip install daytona-sdk") + return self._client + + async def start(self) -> None: + """Start the Daytona sandbox.""" + logger.info("Starting Daytona sandbox") + + try: + client = self._get_client() + + # Create sandbox configuration + from daytona_sdk import CreateSandboxFromImageParams + from daytona_sdk import Resources + + params = CreateSandboxFromImageParams( + image=self._image, + resources=Resources( + cpu=self._cpu, + memory=self._memory, + disk=self._disk, + ), + auto_stop_interval=self._auto_stop_interval, + ) + + # Create and start the sandbox (wrap sync call to avoid blocking) + self._sandbox = await asyncio.get_running_loop().run_in_executor(None, lambda: client.create(params)) + + # Initialize workspace directories + await self.run_command(WORKSPACE_INIT_COMMAND) + + logger.info(f"Daytona sandbox started: {self._sandbox.id}") + + except Exception as e: + logger.error(f"Failed to start Daytona sandbox: {e}") + raise + + async def cleanup(self) -> None: + """Delete the Daytona sandbox.""" + if self._sandbox: + logger.info(f"Cleaning up Daytona sandbox: {self._sandbox.id}") + try: + # Wrap sync call to avoid blocking + await asyncio.get_running_loop().run_in_executor(None, self._sandbox.delete) + self._sandbox = None + except Exception as e: + logger.error(f"Failed to cleanup Daytona sandbox: {e}") + raise + finally: + self._client = None + + async def run_command( + self, + command: str, + working_dir: str = "/workspace", + timeout: float = 120, + env: dict[str, str] | None = None, + ) -> CommandResult: + """Execute a shell command in the Daytona sandbox.""" + if not self._sandbox: + raise RuntimeError("Sandbox not started") + + logger.debug(f"Executing command: {command[:100]}...") + + try: + # Wrap synchronous SDK call with async timeout to prevent blocking + result = await asyncio.wait_for( + asyncio.get_running_loop().run_in_executor( + None, + lambda: self._sandbox.process.exec( + command, + cwd=working_dir, + env=env, + timeout=int(timeout), ), + ), + timeout=timeout, + ) + + # New SDK structure: result.result is the stdout string directly + return CommandResult( + exit_code=result.exit_code, + stdout=result.result if result.result else "", + stderr="", # stderr not available in new API + ) + + except TimeoutError: + logger.warning(f"Command timed out after {timeout}s: {command[:50]}...") + return CommandResult( + exit_code=-1, + stdout="", + stderr=f"Command timed out after {timeout} seconds", + ) + except Exception as e: + logger.exception("Command execution failed") + return CommandResult( + exit_code=-1, + stdout="", + stderr=str(e), + ) + + async def read_file(self, path: str) -> str: + """Read file content from the Daytona sandbox.""" + if not self._sandbox: + raise RuntimeError("Sandbox not started") + + try: + # Wrap sync call to avoid blocking + # Daytona SDK uses download_file() which returns bytes + data = await asyncio.get_running_loop().run_in_executor(None, lambda: self._sandbox.fs.download_file(path)) + return data.decode("utf-8", errors="replace") + except Exception as e: + if "not found" in str(e).lower(): + raise FileNotFoundError(f"File not found: {path}") from None + logger.error(f"Failed to read file {path}: {e}") + raise + + async def read_file_bytes(self, path: str) -> bytes: + """Read file content as bytes from the Daytona sandbox.""" + if not self._sandbox: + raise RuntimeError("Sandbox not started") + + try: + data = await asyncio.get_running_loop().run_in_executor(None, lambda: self._sandbox.fs.download_file(path)) + return data + except Exception as e: + if "not found" in str(e).lower(): + raise FileNotFoundError(f"File not found: {path}") from None + logger.error(f"Failed to read file bytes {path}: {e}") + raise + + async def write_file(self, path: str, content: str) -> None: + """Write content to a file in the Daytona sandbox.""" + if not self._sandbox: + raise RuntimeError("Sandbox not started") + + try: + # Ensure parent directory exists (shell-escape to prevent injection) + dir_path = "/".join(path.split("/")[:-1]) + if dir_path: + await self.run_command(f"mkdir -p {shlex.quote(dir_path)}") + + # Wrap sync call to avoid blocking + # Daytona SDK uses upload_file(data, path) which takes bytes + await asyncio.get_running_loop().run_in_executor( + None, lambda: self._sandbox.fs.upload_file(content.encode("utf-8"), path)) + except Exception as e: + logger.error(f"Failed to write file {path}: {e}") + raise diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/docker_sandbox.py b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/docker_sandbox.py new file mode 100644 index 0000000..74ff416 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/docker_sandbox.py @@ -0,0 +1,325 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Docker-based sandbox implementation.""" + +import asyncio +import io +import logging +import shlex +import tarfile +import uuid + +import docker +from docker.errors import ContainerError +from docker.errors import ImageNotFound +from docker.errors import NotFound + +from nat_sandbox_agent.sandbox.base import WORKSPACE_INIT_COMMAND +from nat_sandbox_agent.sandbox.base import WORKSPACE_ROOT +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.sandbox.base import CommandResult + +logger = logging.getLogger(__name__) + + +class DockerSandbox(BaseSandbox): + """Docker-based sandbox implementation. + + This sandbox uses Docker containers to provide isolated execution + environments. Each sandbox instance corresponds to a single container + with its own filesystem, network, and process space. + """ + + DEFAULT_IMAGE = "python:3.12-slim" + DEFAULT_WORK_DIR = WORKSPACE_ROOT + + def __init__( + self, + image: str = DEFAULT_IMAGE, + memory_limit: str = "512m", + cpu_limit: float = 1.0, + network_enabled: bool = True, + work_dir: str = DEFAULT_WORK_DIR, + container_name: str | None = None, + auto_remove: bool = False, + environment: dict[str, str] | None = None, + volumes: dict[str, dict[str, str]] | None = None, + ): + """Initialize Docker sandbox configuration. + + Args: + image: Docker image to use for the container. + memory_limit: Memory limit (e.g., "512m", "1g"). + cpu_limit: CPU limit (number of CPUs). + network_enabled: Whether to enable network access. + work_dir: Working directory inside the container. + container_name: Optional container name (auto-generated if None). + auto_remove: Whether to automatically remove container on stop. + environment: Environment variables to pass to the container. + volumes: Volume mounts dict {host_path: {"bind": container_path, "mode": "rw"}}. + """ + self._image = image + self._memory_limit = memory_limit + self._cpu_limit = cpu_limit + self._network_enabled = network_enabled + self._work_dir = work_dir + self._container_name = container_name or f"sandbox_{uuid.uuid4().hex[:8]}" + self._auto_remove = auto_remove + self._environment = environment or {} + self._volumes = volumes or {} + + self._client: docker.DockerClient | None = None + self._container = None + + async def start(self) -> None: + """Start the Docker container sandbox.""" + logger.info(f"Starting Docker sandbox: {self._container_name}") + + try: + self._client = docker.from_env() + + # Ensure image is available + try: + self._client.images.get(self._image) + except ImageNotFound: + logger.info(f"Pulling image: {self._image}") + await asyncio.get_running_loop().run_in_executor(None, self._client.images.pull, self._image) + + # Container configuration + container_config = { + "image": self._image, + "name": self._container_name, + "detach": True, + "tty": True, + "stdin_open": True, + "working_dir": self._work_dir, + "mem_limit": self._memory_limit, + "nano_cpus": int(self._cpu_limit * 1e9), + "network_mode": "bridge" if self._network_enabled else "none", + "command": "/bin/bash", + "auto_remove": self._auto_remove, + "environment": self._environment, + } + + # Add volume mounts if specified + if self._volumes: + container_config["volumes"] = self._volumes + logger.info(f"Mounting volumes: {list(self._volumes.keys())}") + + # Create and start container + self._container = await asyncio.get_running_loop().run_in_executor( + None, lambda: self._client.containers.create(**container_config)) + + await asyncio.get_running_loop().run_in_executor(None, self._container.start) + + # Initialize workspace directories + await self.run_command(WORKSPACE_INIT_COMMAND) + + logger.info(f"Docker sandbox started: {self._container_name}") + + except Exception as e: + logger.error(f"Failed to start Docker sandbox: {e}") + # Close client to prevent resource leak + if self._client: + self._client.close() + self._client = None + raise + + async def cleanup(self) -> None: + """Remove the Docker container completely.""" + if self._container: + logger.info(f"Cleaning up Docker sandbox: {self._container_name}") + try: + await asyncio.get_running_loop().run_in_executor(None, lambda: self._container.remove(force=True)) + self._container = None + except NotFound: + # Container already removed + self._container = None + except Exception as e: + logger.error(f"Failed to cleanup Docker sandbox: {e}") + raise + finally: + if self._client: + self._client.close() + self._client = None + + async def run_command( + self, + command: str, + working_dir: str = "/workspace", + timeout: float = 120, + env: dict[str, str] | None = None, + ) -> CommandResult: + """Execute a shell command in the container.""" + if not self._container: + raise RuntimeError("Sandbox not started") + + logger.debug(f"Executing command: {command[:100]}...") + + # Use Linux timeout command to ensure container-side process termination. + # Without this, asyncio.wait_for() only cancels the Python await, + # but the process inside the container continues running as orphan. + timeout_int = int(timeout) + wrapped_command = f"timeout {timeout_int} /bin/bash -c {shlex.quote(command)}" + + try: + exec_result = await asyncio.wait_for( + asyncio.get_running_loop().run_in_executor( + None, + lambda: self._container.exec_run( + cmd=wrapped_command, + workdir=working_dir, + environment=env, + demux=True, ), + ), + timeout=timeout + 5, # Give container timeout a chance to fire first + ) + + exit_code = exec_result.exit_code + stdout_bytes, stderr_bytes = exec_result.output + + stdout = stdout_bytes.decode("utf-8", errors="replace") if stdout_bytes else "" + stderr = stderr_bytes.decode("utf-8", errors="replace") if stderr_bytes else "" + + # Linux timeout command returns 124 when the command times out + if exit_code == 124: + logger.warning(f"Command timed out after {timeout_int}s: {command[:50]}...") + return CommandResult( + exit_code=-1, + stdout=stdout, + stderr=f"Command timed out after {timeout_int} seconds\n{stderr}".strip(), + ) + + return CommandResult( + exit_code=exit_code, + stdout=stdout, + stderr=stderr, + ) + + except TimeoutError: + logger.warning(f"Command timed out after {timeout}s: {command[:50]}...") + return CommandResult( + exit_code=-1, + stdout="", + stderr=f"Command timed out after {timeout} seconds", + ) + except ContainerError as e: + logger.exception("Container error") + return CommandResult( + exit_code=e.exit_status, + stdout="", + stderr=str(e), + ) + except Exception as e: + logger.exception("Command execution failed") + return CommandResult( + exit_code=-1, + stdout="", + stderr=str(e), + ) + + async def read_file(self, path: str) -> str: + """Read file content from the container.""" + if not self._container: + raise RuntimeError("Sandbox not started") + + def _extract_from_archive(): + """Synchronous helper to fetch and extract file from container.""" + bits, _ = self._container.get_archive(path) + + # Extract file content from tar archive + tar_stream = io.BytesIO() + for chunk in bits: + tar_stream.write(chunk) + tar_stream.seek(0) + + with tarfile.open(fileobj=tar_stream, mode="r") as tar: + member = tar.getmembers()[0] + file_obj = tar.extractfile(member) + if file_obj: + return file_obj.read().decode("utf-8", errors="replace") + raise FileNotFoundError(f"File not found: {path}") + + try: + # Wrap all blocking I/O in run_in_executor + return await asyncio.get_running_loop().run_in_executor(None, _extract_from_archive) + + except NotFound: + raise FileNotFoundError(f"File not found: {path}") from None + except Exception as e: + logger.error(f"Failed to read file {path}: {e}") + raise + + async def read_file_bytes(self, path: str) -> bytes: + """Read file content as bytes from the container.""" + if not self._container: + raise RuntimeError("Sandbox not started") + + def _extract_bytes_from_archive(): + """Synchronous helper to fetch and extract raw bytes from container.""" + bits, _ = self._container.get_archive(path) + + tar_stream = io.BytesIO() + for chunk in bits: + tar_stream.write(chunk) + tar_stream.seek(0) + + with tarfile.open(fileobj=tar_stream, mode="r") as tar: + member = tar.getmembers()[0] + file_obj = tar.extractfile(member) + if file_obj: + return file_obj.read() + raise FileNotFoundError(f"File not found: {path}") + + try: + return await asyncio.get_running_loop().run_in_executor(None, _extract_bytes_from_archive) + + except NotFound: + raise FileNotFoundError(f"File not found: {path}") from None + except Exception as e: + logger.error(f"Failed to read file bytes {path}: {e}") + raise + + async def write_file(self, path: str, content: str) -> None: + """Write content to a file in the container.""" + if not self._container: + raise RuntimeError("Sandbox not started") + + try: + # Create tar archive with the file + tar_stream = io.BytesIO() + with tarfile.open(fileobj=tar_stream, mode="w") as tar: + data = content.encode("utf-8") + tarinfo = tarfile.TarInfo(name=path.split("/")[-1]) + tarinfo.size = len(data) + tar.addfile(tarinfo, io.BytesIO(data)) + + tar_stream.seek(0) + + # Get directory path + dir_path = "/".join(path.split("/")[:-1]) or "/" + + # Ensure directory exists (shell-escape to prevent injection) + await self.run_command(f"mkdir -p {shlex.quote(dir_path)}") + + # Upload the tar archive + await asyncio.get_running_loop().run_in_executor( + None, + lambda: self._container.put_archive(dir_path, tar_stream.getvalue()), + ) + + except Exception as e: + logger.error(f"Failed to write file {path}: {e}") + raise diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/factory.py b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/factory.py new file mode 100644 index 0000000..8c47298 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/sandbox/factory.py @@ -0,0 +1,215 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Factory for creating sandbox instances.""" + +import os +from enum import Enum +from typing import Literal + +from pydantic import BaseModel +from pydantic import Field + +from nat_sandbox_agent.sandbox.base import BaseSandbox + +# Environment variables to automatically pass to sandbox if set on host +DEFAULT_PASS_ENV_VARS = ["TAVILY_API_KEY"] + + +class SandboxType(str, Enum): + """Supported sandbox types.""" + + DOCKER = "docker" + DAYTONA = "daytona" + + +class DockerSandboxConfig(BaseModel): + """Configuration for Docker sandbox.""" + + type: Literal["docker"] = "docker" + image: str = Field( + default="python:3.12-slim", + description="Docker image to use for the sandbox.", + ) + memory_limit: str = Field( + default="512m", + description="Memory limit for the container (e.g., '512m', '1g').", + ) + cpu_limit: float = Field( + default=1.0, + description="CPU limit (number of CPUs).", + ) + network_enabled: bool = Field( + default=True, + description="Whether to enable network access in the sandbox.", + ) + work_dir: str = Field( + default="/workspace", + description="Working directory inside the container.", + ) + auto_remove: bool = Field( + default=False, + description="Whether to auto-remove container when stopped.", + ) + environment: dict[str, str] | None = Field( + default=None, + description="Environment variables to pass to the container.", + ) + pass_env_vars: list[str] | None = Field( + default=None, + description="List of env var names to pass from host to container.", + ) + volumes: dict[str, str] | None = Field( + default=None, + description="Volume mounts as dict {host_path: container_path}.", + ) + + +class DaytonaSandboxConfig(BaseModel): + """Configuration for Daytona sandbox.""" + + type: Literal["daytona"] = "daytona" + api_key: str = Field( + ..., + description="Daytona API key for authentication.", + ) + server_url: str = Field( + default="https://api.daytona.io", + description="Daytona API server URL.", + ) + target: str = Field( + default="us", + description="Target region (e.g., 'us', 'eu').", + ) + image: str = Field( + default="daytonaio/workspace:latest", + description="Docker image for the Daytona workspace.", + ) + cpu: int = Field( + default=2, + description="Number of CPU cores.", + ) + memory: int = Field( + default=4, + description="Memory in GB.", + ) + disk: int = Field( + default=10, + description="Disk space in GB.", + ) + auto_stop_interval: int = Field( + default=30, + description="Auto-stop interval in minutes (0 to disable).", + ) + + +# Union type for sandbox configuration +SandboxConfig = DockerSandboxConfig | DaytonaSandboxConfig + + +def _build_environment(config: DockerSandboxConfig) -> dict[str, str]: + """Build environment variables dict for sandbox. + + Combines explicit environment vars with pass-through vars from host. + """ + env = dict(config.environment or {}) + + # Determine which env vars to pass from host + pass_vars = config.pass_env_vars if config.pass_env_vars is not None else DEFAULT_PASS_ENV_VARS + + for var_name in pass_vars: + if var_name not in env: # Don't override explicit values + value = os.environ.get(var_name) + if value: + env[var_name] = value + + return env + + +def create_sandbox(config: SandboxConfig) -> BaseSandbox: + """Create a sandbox instance based on configuration. + + Args: + config: Sandbox configuration (Docker or Daytona). + + Returns: + BaseSandbox: A sandbox instance ready to be started. + + Raises: + ValueError: If the sandbox type is not supported. + """ + if config.type in (SandboxType.DOCKER, "docker"): + from nat_sandbox_agent.sandbox.docker_sandbox import DockerSandbox + + environment = _build_environment(config) + + # Convert volumes from {host: container} to Docker format + volumes = None + if config.volumes: + volumes = { + host_path: { + "bind": container_path, "mode": "rw" + } + for host_path, container_path in config.volumes.items() + } + + return DockerSandbox( + image=config.image, + memory_limit=config.memory_limit, + cpu_limit=config.cpu_limit, + network_enabled=config.network_enabled, + work_dir=config.work_dir, + auto_remove=config.auto_remove, + environment=environment, + volumes=volumes, + ) + + elif config.type in (SandboxType.DAYTONA, "daytona"): + from nat_sandbox_agent.sandbox.daytona_sandbox import DaytonaSandbox + + return DaytonaSandbox( + api_key=config.api_key, + server_url=config.server_url, + target=config.target, + image=config.image, + cpu=config.cpu, + memory=config.memory, + disk=config.disk, + auto_stop_interval=config.auto_stop_interval, + ) + + else: + raise ValueError(f"Unknown sandbox type: {config.type}") + + +def create_sandbox_from_dict(config_dict: dict) -> BaseSandbox: + """Create a sandbox instance from a dictionary configuration. + + Args: + config_dict: Dictionary with sandbox configuration. + Must include a 'type' key with value 'docker' or 'daytona'. + + Returns: + BaseSandbox: A sandbox instance ready to be started. + """ + sandbox_type = config_dict.get("type", "docker") + + if sandbox_type == "docker": + config = DockerSandboxConfig(**config_dict) + elif sandbox_type == "daytona": + config = DaytonaSandboxConfig(**config_dict) + else: + raise ValueError(f"Unknown sandbox type: {sandbox_type}") + + return create_sandbox(config) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/__init__.py new file mode 100644 index 0000000..545987e --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/__init__.py @@ -0,0 +1,39 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tools module - Modular tool implementations. + +Tool Architecture: +- Sandbox tools: Run inside Docker sandbox (shell, python, file_*, web_browse) +- Host tools: Run directly on host (web_search, web_fetch) +""" + +from nat_sandbox_agent.tools.common import DEFAULT_MAX_OUTPUT_CHARS +from nat_sandbox_agent.tools.common import truncate_output +from nat_sandbox_agent.tools.factory import create_all_tools +from nat_sandbox_agent.tools.factory import get_tool_descriptions +from nat_sandbox_agent.tools.host import create_host_tools +from nat_sandbox_agent.tools.sandbox import SandboxToolExecutor +from nat_sandbox_agent.tools.sandbox import create_sandbox_tools + +__all__ = [ + # Factory + "create_all_tools", + "get_tool_descriptions", # Sandbox + "create_sandbox_tools", + "SandboxToolExecutor", # Host + "create_host_tools", # Utilities + "DEFAULT_MAX_OUTPUT_CHARS", + "truncate_output", +] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/common.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/common.py new file mode 100644 index 0000000..ac420a0 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/common.py @@ -0,0 +1,34 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Common utilities and constants for tools.""" + +# Default limit: 16,000 chars ≈ 4,000 tokens +# This helps prevent context overflow when multiple tools are called +DEFAULT_MAX_OUTPUT_CHARS = 16000 + + +def truncate_output(text: str, max_chars: int = DEFAULT_MAX_OUTPUT_CHARS) -> str: + """Truncate output to maximum length. + + Args: + text: Text to truncate. + max_chars: Maximum characters to keep. + + Returns: + Truncated text with indicator if truncation occurred. + """ + if len(text) > max_chars: + return text[:max_chars] + f"\n... (truncated, {len(text)} total chars)" + return text diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/factory.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/factory.py new file mode 100644 index 0000000..18cb28b --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/factory.py @@ -0,0 +1,101 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Factory for creating all agent tools (sandbox + host).""" + +from typing import Any + +from langchain_core.tools import StructuredTool + +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.tools.common import DEFAULT_MAX_OUTPUT_CHARS +from nat_sandbox_agent.tools.host import create_host_tools +from nat_sandbox_agent.tools.host import create_image_describe_tool +from nat_sandbox_agent.tools.sandbox import create_sandbox_tools + + +def create_all_tools( + sandbox: BaseSandbox, + tavily_api_key: str | None = None, + max_output_chars: int = DEFAULT_MAX_OUTPUT_CHARS, + include_tools: list[str] | None = None, + vision_llm: Any | None = None, +) -> list[StructuredTool]: + """Create all tools (sandbox + host). + + This function combines: + - Sandbox tools: shell, python, file_read, file_write, web_browse + - Host tools: web_search, web_fetch + - Optional: image_describe (requires vision_llm) + + Args: + sandbox: Sandbox instance for sandbox tools. + tavily_api_key: API key for web search. If None, uses env var. + max_output_chars: Maximum characters for tool output truncation. + include_tools: Optional list of tool names to include. + If None, all tools are included. + vision_llm: Optional vision-capable LLM for image_describe tool. + + Returns: + Combined list of all tools. + """ + # Sandbox tools (shell, python, file_read, file_write, web_browse) + sandbox_tools = create_sandbox_tools( + sandbox=sandbox, + max_output_chars=max_output_chars, + ) + + # Host tools (web_search, web_fetch) + host_tools = create_host_tools( + tavily_api_key=tavily_api_key, + max_output_chars=max_output_chars, + ) + + all_tools = {t.name: t for t in sandbox_tools + host_tools} + + # Optional: image_describe tool (requires vision LLM) + if vision_llm is not None: + image_tool = create_image_describe_tool(sandbox=sandbox, vision_llm=vision_llm) + all_tools[image_tool.name] = image_tool + + if include_tools: + return [all_tools[name] for name in include_tools if name in all_tools] + + return list(all_tools.values()) + + +def get_tool_descriptions() -> str: + """Get formatted descriptions of all available tools. + + Returns: + Formatted string with tool names and descriptions. + """ + tools_info = [ + # Sandbox tools + ("shell", "Execute bash commands for system operations"), + ("python", "Execute Python code for data processing and analysis"), + ("file_read", "Read file contents from the sandbox"), + ("file_write", "Write content to a file in the sandbox"), + ("web_browse", "Browse webpages and extract content"), + # Host tools + ("web_search", "Search the web using Tavily"), + ("web_fetch", "Fetch a URL and convert HTML to Markdown"), + ("image_describe", "Analyze an image using a vision model"), + ] + + lines = ["Available tools:"] + for name, desc in tools_info: + lines.append(f" - {name}: {desc}") + + return "\n".join(lines) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/__init__.py new file mode 100644 index 0000000..972afff --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/__init__.py @@ -0,0 +1,57 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Host-side tools that run directly on the host machine. + +These tools don't require sandbox isolation and run directly on the host: +- web_search: Tavily API calls +- web_fetch: Lightweight HTTP fetch + HTML-to-Markdown conversion + +This provides better security (API keys not exposed to sandbox) and +lower latency (no Docker exec overhead). +""" + +from langchain_core.tools import StructuredTool + +from nat_sandbox_agent.tools.common import DEFAULT_MAX_OUTPUT_CHARS +from nat_sandbox_agent.tools.host.image_describe import create_image_describe_tool +from nat_sandbox_agent.tools.host.web_fetch import create_web_fetch_tool +from nat_sandbox_agent.tools.host.web_search import create_web_search_tool + + +def create_host_tools( + tavily_api_key: str | None = None, + max_output_chars: int = DEFAULT_MAX_OUTPUT_CHARS, +) -> list[StructuredTool]: + """Create all host-side tools. + + Args: + tavily_api_key: Tavily API key for web search. If None, uses env var. + max_output_chars: Maximum characters for tool output. + + Returns: + List of host-side tools. + """ + return [ + create_web_search_tool(api_key=tavily_api_key), + create_web_fetch_tool(max_output_chars=max_output_chars), + ] + + +__all__ = [ + "create_host_tools", + "create_image_describe_tool", + "create_web_fetch_tool", + "create_web_search_tool", +] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/image_describe.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/image_describe.py new file mode 100644 index 0000000..409f38b --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/image_describe.py @@ -0,0 +1,176 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Host-side image description tool using a vision LLM. + +Reads an image from the sandbox, encodes it as base64, and sends it to +a vision-capable LLM for analysis. Runs on the host to keep API keys +out of the sandbox. +""" + +import base64 +import logging +import os +from typing import Any + +from langchain_core.messages import HumanMessage +from langchain_core.tools import StructuredTool +from pydantic import BaseModel +from pydantic import Field + +from nat_sandbox_agent.sandbox.base import BaseSandbox + +logger = logging.getLogger(__name__) + +# File extensions supported by common vision LLMs +SUPPORTED_EXTENSIONS = {".png", ".jpg", ".jpeg", ".gif", ".webp", ".bmp", ".tiff"} + +# Map extensions to MIME types +MIME_TYPES = { + ".png": "image/png", + ".jpg": "image/jpeg", + ".jpeg": "image/jpeg", + ".gif": "image/gif", + ".webp": "image/webp", + ".bmp": "image/bmp", + ".tiff": "image/tiff", +} + + +class ImageDescribeInput(BaseModel): + """Input schema for image_describe tool.""" + + image_path: str = Field( + description="Path to the image file inside the sandbox (e.g. /workspace/input/photo.png).", + ) + question: str = Field( + default="Describe this image in detail.", + description=( + "A specific question or instruction about the image. " + "Examples: 'What text is visible?', 'Describe the geometric shapes.', " + "'What colors are used in this chart?'" + ), + ) + + +class ImageDescribeTool: + """Analyzes images using a vision-capable LLM. + + Data flow: + sandbox.read_file_bytes(path) -> base64 encode -> vision_llm.ainvoke() -> text description + """ + + def __init__(self, sandbox: BaseSandbox, vision_llm: Any): + self.sandbox = sandbox + self.vision_llm = vision_llm + + async def describe(self, image_path: str, question: str = "Describe this image in detail.") -> dict[str, Any]: + """Analyze an image file from the sandbox using a vision model. + + Args: + image_path: Path to the image inside the sandbox. + question: Question or instruction about the image. + + Returns: + Dict with status, description, and image_path. + """ + logger.info(f"Image describe: {image_path} | question: {question[:80]}...") + + # 1. Validate file extension + ext = os.path.splitext(image_path)[1].lower() + if ext not in SUPPORTED_EXTENSIONS: + supported = ", ".join(sorted(SUPPORTED_EXTENSIONS)) + return { + "status": "error", + "error": f"Unsupported image format '{ext}'. Supported formats: {supported}", + "image_path": image_path, + } + + # 2. Read image bytes from sandbox + try: + image_bytes = await self.sandbox.read_file_bytes(image_path) + except FileNotFoundError: + return { + "status": "error", + "error": f"Image file not found: {image_path}", + "image_path": image_path, + } + except Exception as e: + logger.error(f"Failed to read image {image_path}: {e}") + return { + "status": "error", + "error": f"Failed to read image file: {e}", + "image_path": image_path, + } + + # 3. Base64 encode and build data URI + b64_data = base64.b64encode(image_bytes).decode("utf-8") + mime_type = MIME_TYPES.get(ext, "image/png") + data_uri = f"data:{mime_type};base64,{b64_data}" + + # 4. Build multimodal message (LangChain standard format) + message = HumanMessage( + content=[ + {"type": "text", "text": question}, + {"type": "image_url", "image_url": {"url": data_uri}}, + ] + ) + + # 5. Call vision LLM + try: + response = await self.vision_llm.ainvoke([message]) + except Exception as e: + logger.error(f"Vision LLM call failed: {e}") + return { + "status": "error", + "error": f"Vision model error: {e}", + "image_path": image_path, + } + + # 6. Return description + description = response.content if hasattr(response, "content") else str(response) + + logger.info(f"Image describe returned {len(description)} chars for {image_path}") + return { + "status": "success", + "description": description, + "image_path": image_path, + } + + +def create_image_describe_tool(sandbox: BaseSandbox, vision_llm: Any) -> StructuredTool: + """Create the image_describe tool. + + Args: + sandbox: Sandbox instance for reading image files. + vision_llm: A vision-capable LLM (LangChain BaseChatModel). + + Returns: + LangChain StructuredTool instance. + """ + tool = ImageDescribeTool(sandbox, vision_llm) + + return StructuredTool.from_function( + coroutine=tool.describe, + name="image_describe", + description=( + "Analyze an image file using a vision model. " + "Reads the image from the sandbox and returns a text description. " + "Use this for understanding visual content: charts, diagrams, geometric shapes, " + "screenshots, handwritten text, musical notation, photos, etc. " + "For pixel-level processing (cropping, color extraction, OCR coordinates), " + "use the python tool with PIL/OpenCV instead." + ), + args_schema=ImageDescribeInput, + ) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/web_fetch.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/web_fetch.py new file mode 100644 index 0000000..035e865 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/web_fetch.py @@ -0,0 +1,214 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Host-side web fetch tool - lightweight HTTP content fetcher. + +Fetches a URL via HTTP and converts HTML to clean Markdown. +Much faster and lighter than browser-based browsing (Playwright). + +Inspired by mcp-server-fetch (https://pypi.org/project/mcp-server-fetch/). +""" + +import logging +from typing import Any + +import httpx +import markdownify +from langchain_core.tools import StructuredTool +from pydantic import BaseModel +from pydantic import Field + +from nat_sandbox_agent.tools.common import DEFAULT_MAX_OUTPUT_CHARS + +logger = logging.getLogger(__name__) + +# Default user agent for fetch requests +DEFAULT_USER_AGENT = ( + "Mozilla/5.0 (compatible; NATSandboxAgent/1.0; +https://github.com/NVIDIA/NeMo-Agent-Toolkit)" +) + +# Default max content length (characters) returned per call +DEFAULT_MAX_LENGTH = 5000 + + +class WebFetchInput(BaseModel): + """Input schema for web fetch.""" + + url: str = Field(description="The URL to fetch content from.") + max_length: int = Field( + default=DEFAULT_MAX_LENGTH, + description="Maximum number of characters to return. Default is 5000.", + ge=1, + le=100000, + ) + start_index: int = Field( + default=0, + description=( + "Character position to start reading from. " + "Use this to paginate through long pages. Default is 0." + ), + ge=0, + ) + raw: bool = Field( + default=False, + description="If true, return raw content without HTML-to-Markdown conversion.", + ) + + +async def web_fetch( + url: str, + max_length: int = DEFAULT_MAX_LENGTH, + start_index: int = 0, + raw: bool = False, + max_output_chars: int = DEFAULT_MAX_OUTPUT_CHARS, +) -> dict[str, Any]: + """Fetch a URL and convert HTML content to Markdown. + + This is a lightweight alternative to web_browse (Playwright). It performs + a simple HTTP GET request and converts HTML to clean Markdown text. + Much faster but does not render JavaScript. + + Args: + url: The URL to fetch. + max_length: Maximum characters to return. + start_index: Character position to start from (for pagination). + raw: If True, return raw content without conversion. + max_output_chars: Hard limit on output size. + + Returns: + Dict with status, url, content, and pagination info. + """ + logger.info(f"Web fetch: {url} (start={start_index}, max_len={max_length})") + + try: + async with httpx.AsyncClient( + follow_redirects=True, + timeout=30.0, + headers={"User-Agent": DEFAULT_USER_AGENT}, + ) as client: + response = await client.get(url) + response.raise_for_status() + + content_type = response.headers.get("content-type", "") + + if raw or "text/plain" in content_type: + # Return raw text content + content = response.text + elif "text/html" in content_type or "application/xhtml" in content_type: + # Convert HTML to Markdown + content = markdownify.markdownify( + response.text, + heading_style="ATX", + strip=["script", "style", "nav", "footer", "header"], + ) + # Clean up excessive whitespace + lines = content.split("\n") + cleaned_lines = [] + blank_count = 0 + for line in lines: + stripped = line.rstrip() + if not stripped: + blank_count += 1 + if blank_count <= 2: + cleaned_lines.append("") + else: + blank_count = 0 + cleaned_lines.append(stripped) + content = "\n".join(cleaned_lines).strip() + elif "application/json" in content_type: + content = response.text + else: + content = response.text + + # Apply pagination + total_length = len(content) + content = content[start_index:start_index + max_length] + + # Enforce hard limit + if len(content) > max_output_chars: + content = content[:max_output_chars] + + result = { + "status": "success", + "url": str(response.url), + "content": content, + "total_length": total_length, + "start_index": start_index, + "returned_length": len(content), + } + + # Add pagination hint if there's more content + if start_index + max_length < total_length: + result["has_more"] = True + result["next_start_index"] = start_index + max_length + result["remaining"] = total_length - (start_index + max_length) + + logger.info( + f"Web fetch returned {len(content)} chars " + f"(total={total_length}, start={start_index})" + ) + return result + + except httpx.HTTPStatusError as e: + logger.warning(f"HTTP error fetching {url}: {e.response.status_code}") + return { + "status": "error", + "error": f"HTTP {e.response.status_code}: {e.response.reason_phrase}", + "url": url, + } + except httpx.TimeoutException: + logger.warning(f"Timeout fetching {url}") + return { + "status": "error", + "error": "Request timed out after 30 seconds", + "url": url, + } + except Exception as e: + logger.exception(f"Error fetching {url}") + return { + "status": "error", + "error": str(e), + "url": url, + } + + +def create_web_fetch_tool( + max_output_chars: int = DEFAULT_MAX_OUTPUT_CHARS, +) -> StructuredTool: + """Create the web fetch tool. + + Args: + max_output_chars: Maximum characters for tool output. + + Returns: + LangChain StructuredTool instance. + """ + return StructuredTool.from_function( + coroutine=lambda url, max_length=DEFAULT_MAX_LENGTH, start_index=0, raw=False: web_fetch( + url, max_length, start_index, raw, max_output_chars + ), + name="web_fetch", + description=( + "Fetch a webpage and convert it to clean Markdown text. " + "Much faster than web_browse but does NOT render JavaScript. " + "Use this for static pages, articles, documentation, and API responses. " + "Use 'start_index' to paginate through long content. " + "Tip: also works with JSON APIs — useful URLs include: " + "Wikipedia edit history: https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=revisions&rvlimit=50&rvprop=timestamp|comment|user&format=json ; " + "GitHub issue events: https://api.github.com/repos/OWNER/REPO/issues/NUM/events ; " + "GitHub issue timeline: https://api.github.com/repos/OWNER/REPO/issues/NUM/timeline ; " + "arXiv monthly listings: https://arxiv.org/list/CATEGORY/YYMM" + ), + args_schema=WebFetchInput, + ) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/web_search.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/web_search.py new file mode 100644 index 0000000..55cea9b --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/host/web_search.py @@ -0,0 +1,132 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Host-side web search tool using Tavily API. + +This tool runs on the host machine (not in the sandbox) for: +- Better security (API key not exposed to sandbox) +- Lower latency (no Docker exec overhead) +- Higher reliability (no sandbox network issues) +""" + +import logging +import os +from typing import Any + +from langchain_core.tools import StructuredTool +from pydantic import BaseModel +from pydantic import Field + +logger = logging.getLogger(__name__) + + +class WebSearchInput(BaseModel): + """Input schema for web search.""" + + query: str = Field(description="Search query to execute.") + num_results: int = Field( + default=5, + description="Number of search results to return.", + ge=1, + le=10, + ) + + +class HostWebSearchTool: + """Web search tool that runs on host (not in sandbox). + + Uses Tavily API for high-quality search results optimized for AI agents. + """ + + def __init__(self, api_key: str | None = None): + """Initialize the web search tool. + + Args: + api_key: Tavily API key. If None, uses TAVILY_API_KEY env var. + """ + self._api_key = api_key or os.environ.get("TAVILY_API_KEY") + self._client = None + + def _get_client(self): + """Lazily initialize async Tavily client.""" + if self._client is None: + if not self._api_key: + raise ValueError("TAVILY_API_KEY not set") + from tavily import AsyncTavilyClient + + self._client = AsyncTavilyClient(api_key=self._api_key) + return self._client + + async def search(self, query: str, num_results: int = 5) -> dict[str, Any]: + """Execute web search. + + Args: + query: Search query. + num_results: Number of results to return (max 10). + + Returns: + Dict with status and search results. + """ + logger.info(f"Web search: query_len={len(query)}") + + try: + client = self._get_client() + response = await client.search( + query=query, + max_results=min(num_results, 10), + include_answer=True, + ) + + results = [{ + "title": r.get("title", ""), + "url": r.get("url", ""), + "snippet": r.get("content", ""), + "score": r.get("score", 0), + } for r in response.get("results", [])] + + logger.info(f"Web search returned {len(results)} results") + + return { + "status": "success", + "results": results, + "answer": response.get("answer"), + } + + except Exception as e: + logger.exception("Web search error") + return { + "status": "error", + "error": str(e), + } + + +def create_web_search_tool(api_key: str | None = None) -> StructuredTool: + """Create the web search tool. + + Args: + api_key: Tavily API key. If None, uses TAVILY_API_KEY env var. + + Returns: + LangChain StructuredTool instance. + """ + tool = HostWebSearchTool(api_key=api_key) + + return StructuredTool.from_function( + coroutine=tool.search, + name="web_search", + description=("Search the web using Tavily. Returns titles, URLs, and snippets " + "for the search results. Use this to find information, research topics, " + "or locate relevant URLs."), + args_schema=WebSearchInput, + ) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/__init__.py new file mode 100644 index 0000000..17d7e9a --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/__init__.py @@ -0,0 +1,88 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Sandbox-side tools that run inside the Docker sandbox. + +These tools require sandbox isolation: +- shell: Execute bash commands +- python: Execute Python code +- file_read: Read files +- file_write: Write files +- web_browse: Browse web pages with Playwright +""" + +from langchain_core.tools import StructuredTool + +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.tools.common import DEFAULT_MAX_OUTPUT_CHARS +from nat_sandbox_agent.tools.sandbox.browser import create_web_browse_tool +from nat_sandbox_agent.tools.sandbox.execution import create_python_tool +from nat_sandbox_agent.tools.sandbox.execution import create_shell_tool +from nat_sandbox_agent.tools.sandbox.executor import SandboxToolExecutor +from nat_sandbox_agent.tools.sandbox.file_ops import create_file_read_tool +from nat_sandbox_agent.tools.sandbox.file_ops import create_file_write_tool + + +def create_sandbox_tools( + sandbox: BaseSandbox, + max_output_chars: int = DEFAULT_MAX_OUTPUT_CHARS, + include_tools: list[str] | None = None, +) -> list[StructuredTool]: + """Create all sandbox-side tools. + + Args: + sandbox: The sandbox instance to bind tools to. + max_output_chars: Maximum characters for tool output truncation. + include_tools: Optional list of tool names to include. + If None, all tools are included. If empty list, returns empty list. + + Returns: + List of sandbox tools. + + Raises: + ValueError: If include_tools contains unknown tool names. + """ + executor = SandboxToolExecutor( + sandbox=sandbox, + max_output_chars=max_output_chars, + ) + + all_tools = { + "shell": create_shell_tool(executor), + "python": create_python_tool(executor), + "file_read": create_file_read_tool(executor), + "file_write": create_file_write_tool(executor), + "web_browse": create_web_browse_tool(executor), + } + + if include_tools is not None: + # Validate tool names + unknown_tools = set(include_tools) - set(all_tools.keys()) + if unknown_tools: + raise ValueError(f"Unknown tool names: {unknown_tools}. " + f"Available tools: {list(all_tools.keys())}") + return [all_tools[name] for name in include_tools] + + return list(all_tools.values()) + + +__all__ = [ + "SandboxToolExecutor", + "create_file_read_tool", + "create_file_write_tool", + "create_python_tool", + "create_sandbox_tools", + "create_shell_tool", + "create_web_browse_tool", +] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/browser.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/browser.py new file mode 100644 index 0000000..38d0ba7 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/browser.py @@ -0,0 +1,165 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Browser tool for sandbox - unified web browsing and content extraction.""" + +import json +import logging +import re +from typing import Any + +from langchain_core.tools import StructuredTool +from pydantic import BaseModel +from pydantic import Field + +from nat_sandbox_agent.tools.sandbox.executor import SandboxToolExecutor + +logger = logging.getLogger(__name__) + + +def _escape_css_selector(selector: str) -> str: + """Escape a CSS selector for safe embedding in Python code. + + Args: + selector: The CSS selector to escape. + + Returns: + Escaped selector safe for use in f-strings. + """ + # Escape backslashes first, then quotes + escaped = selector.replace("\\", "\\\\").replace('"', '\\"') + # Remove any potential code injection attempts (newlines, etc.) + escaped = re.sub(r'[\r\n]', ' ', escaped) + return escaped + + +class WebBrowseInput(BaseModel): + """Input schema for web browsing.""" + + url: str = Field(description="URL to browse.") + selector: str | None = Field( + default=None, + description="Optional CSS selector to extract specific elements.", + ) + + +async def web_browse( + executor: SandboxToolExecutor, + url: str, + selector: str | None = None, +) -> dict[str, Any]: + """Browse a webpage and extract content. + + This unified tool combines navigation and content extraction: + - Navigates to the URL + - Extracts text content (optionally filtered by CSS selector) + + Args: + executor: The sandbox executor instance. + url: URL to browse. + selector: Optional CSS selector to target specific elements. + + Returns: + Dict with status, page info, and content. + """ + logger.info(f"Web browse: {url}") + + # Safely escape URL for embedding in generated code + safe_url = json.dumps(url) + + # Build the content extraction code + if selector: + # Escape the selector to prevent code injection + safe_selector = _escape_css_selector(selector) + extract_code = f''' + elements = await page.query_selector_all("{safe_selector}") + texts = [] + for el in elements: + text = await el.text_content() + if text: + texts.append(text.strip()) + content = "\\n".join(texts) +''' + else: + extract_code = ''' + content = await page.text_content("body") or "" +''' + + code = f''' +import asyncio +import json + +async def main(): + try: + from playwright.async_api import async_playwright + + async with async_playwright() as p: + browser = await p.chromium.launch(headless=True) + page = await browser.new_page() + + await page.goto({safe_url}, wait_until="domcontentloaded") + + title = await page.title() + {extract_code} + + result = {{ + "status": "success", + "url": page.url, + "title": title, + "content": content[:{executor.max_output_chars}] + }} + + await browser.close() + print(json.dumps(result)) + + except Exception as e: + print(json.dumps({{"status": "error", "error": str(e)}})) + +asyncio.run(main()) +''' + + # Write script and execute (instead of run_python) + script_path = "/workspace/temp/_browser_script.py" + await executor.sandbox.write_file(script_path, code) + result = await executor.sandbox.run_command(f"python3 {script_path}", timeout=60) + + if result.success and result.stdout.strip(): + try: + return json.loads(result.stdout.strip()) + except json.JSONDecodeError: + pass + + return { + "status": "error", + "error": result.stderr or "Browser operation failed", + } + + +def create_web_browse_tool(executor: SandboxToolExecutor) -> StructuredTool: + """Create the unified web browse tool. + + Args: + executor: The sandbox executor instance. + + Returns: + LangChain StructuredTool instance. + """ + return StructuredTool.from_function( + coroutine=lambda url, selector=None: web_browse(executor, url, selector), + name="web_browse", + description=("Browse a webpage and extract information. " + "Returns page title and text content. " + "Use 'selector' to target specific CSS elements."), + args_schema=WebBrowseInput, + ) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/execution.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/execution.py new file mode 100644 index 0000000..ac68d3f --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/execution.py @@ -0,0 +1,169 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Shell and Python execution tools for sandbox.""" + +import logging +from typing import Any + +from langchain_core.tools import StructuredTool +from pydantic import BaseModel +from pydantic import Field + +from nat_sandbox_agent.sandbox.base import DEFAULT_SCRIPT_PATH +from nat_sandbox_agent.sandbox.base import WORKSPACE_ROOT +from nat_sandbox_agent.tools.sandbox.executor import SandboxToolExecutor + +logger = logging.getLogger(__name__) + + +class ShellInput(BaseModel): + """Input schema for shell command execution.""" + + command: str = Field(description="The shell command to execute in the sandbox.") + working_dir: str = Field( + default=WORKSPACE_ROOT, + description="Working directory for the command.", + ) + + +class PythonInput(BaseModel): + """Input schema for Python code execution.""" + + code: str = Field(description="Python code to execute in the sandbox.") + + +async def execute_shell( + executor: SandboxToolExecutor, + command: str, + working_dir: str = WORKSPACE_ROOT, + timeout: float | None = None, +) -> dict[str, Any]: + """Execute a shell command in the sandbox. + + Args: + executor: The sandbox executor instance. + command: The shell command to execute. + working_dir: Working directory for the command. + timeout: Optional timeout override. + + Returns: + Dict with status, stdout, stderr, and exit_code. + """ + logger.info(f"Executing shell command: {command[:20]}... ({len(command)} chars)") + + result = await executor.sandbox.run_command( + command=command, + working_dir=working_dir, + timeout=timeout or executor.default_timeout, + ) + + return { + "status": "success" if result.success else "error", + "stdout": executor.truncate(result.stdout), + "stderr": executor.truncate(result.stderr), + "exit_code": result.exit_code, + } + + +async def execute_python( + executor: SandboxToolExecutor, + code: str, + timeout: float | None = None, +) -> dict[str, Any]: + """Execute Python code in the sandbox. + + Args: + executor: The sandbox executor instance. + code: Python code to execute. + timeout: Optional timeout override. + + Returns: + Dict with status, stdout, stderr, and generated files. + """ + logger.info(f"Executing Python code ({len(code)} chars)") + + # Write code to a temp file for better error messages + try: + await executor.sandbox.write_file(DEFAULT_SCRIPT_PATH, code) + except Exception as e: + logger.exception("Failed to write script file") + return { + "status": "error", + "stdout": "", + "stderr": executor.truncate(str(e)), + "generated_files": [], + } + + result = await executor.sandbox.run_command( + command=f"cd {WORKSPACE_ROOT} && python3 {DEFAULT_SCRIPT_PATH}", + timeout=timeout or executor.default_timeout, + ) + + # List any generated files in output directory + generated_files = await executor.list_generated_files() + + return { + "status": "success" if result.success else "error", + "stdout": executor.truncate(result.stdout), + "stderr": executor.truncate(result.stderr), + "generated_files": generated_files, + } + + +def create_shell_tool(executor: SandboxToolExecutor) -> StructuredTool: + """Create the shell command tool. + + Args: + executor: The sandbox executor instance. + + Returns: + LangChain StructuredTool instance. + """ + return StructuredTool.from_function( + coroutine=lambda command, working_dir=WORKSPACE_ROOT: execute_shell(executor, command, working_dir), + name="shell", + description=("Execute bash/shell commands for SYSTEM OPERATIONS: " + "file management (ls, cp, mv, rm, mkdir, chmod), " + "package installation (pip install, apt-get), " + "downloads (curl, wget), " + "process management (ps, kill), " + "git operations. " + "Do NOT use for data processing - use python instead."), + args_schema=ShellInput, + ) + + +def create_python_tool(executor: SandboxToolExecutor) -> StructuredTool: + """Create the Python execution tool. + + Args: + executor: The sandbox executor instance. + + Returns: + LangChain StructuredTool instance. + """ + return StructuredTool.from_function( + coroutine=lambda code: execute_python(executor, code), + name="python", + description=("Execute Python code for DATA PROCESSING and COMPUTATION: " + "data analysis (pandas, numpy), " + "calculations and math, " + "file parsing (JSON, CSV, XML), " + "API calls (requests), " + "text processing (regex). " + "Generated files should be saved to /workspace/output/. " + "Do NOT use for simple system commands - use shell instead."), + args_schema=PythonInput, + ) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/executor.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/executor.py new file mode 100644 index 0000000..e6d6ed0 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/executor.py @@ -0,0 +1,71 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Base executor class for sandbox tools.""" + +import logging + +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.tools.common import DEFAULT_MAX_OUTPUT_CHARS +from nat_sandbox_agent.tools.common import truncate_output + +logger = logging.getLogger(__name__) + + +class SandboxToolExecutor: + """Base execution layer for sandbox-based tools. + + This class provides the core sandbox execution capabilities that + individual tool modules build upon. All tools share the same sandbox + instance, ensuring consistent file system state across operations. + """ + + def __init__( + self, + sandbox: BaseSandbox, + max_output_chars: int = DEFAULT_MAX_OUTPUT_CHARS, + default_timeout: float = 120, + ): + """Initialize the tool executor. + + Args: + sandbox: The sandbox instance to use for execution. + max_output_chars: Maximum characters to return in output. + default_timeout: Default timeout for operations in seconds. + """ + self.sandbox = sandbox + self.max_output_chars = max_output_chars + self.default_timeout = default_timeout + + def truncate(self, text: str) -> str: + """Truncate output to maximum length.""" + return truncate_output(text, self.max_output_chars) + + async def list_generated_files(self) -> list[str]: + """List files in the output directory using shell command.""" + try: + result = await self.sandbox.run_command( + "ls -1 /workspace/output", + timeout=self.default_timeout, + ) + if result.success: + files = [f.strip() for f in result.stdout.strip().split("\n") if f.strip()] + return [f"/workspace/output/{f}" for f in files] + # Log non-success results for debugging + logger.error(f"Failed to list generated files: exit_code={result.exit_code}, " + f"stderr={result.stderr}") + return [] + except Exception: + logger.exception("Exception while listing generated files") + return [] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/file_ops.py b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/file_ops.py new file mode 100644 index 0000000..c27d6d1 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/tools/sandbox/file_ops.py @@ -0,0 +1,187 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""File operation tools for sandbox.""" + +import logging +import posixpath +from pathlib import PurePosixPath +from typing import Any + +from langchain_core.tools import StructuredTool +from pydantic import BaseModel +from pydantic import Field + +from nat_sandbox_agent.tools.sandbox.executor import SandboxToolExecutor + +logger = logging.getLogger(__name__) + +# Allowed base directories for file operations (as PurePosixPath for component-aware checks) +ALLOWED_BASE_PATHS = (PurePosixPath("/workspace"), ) + + +def _validate_path(path: str) -> str: + """Validate and normalize a file path to prevent path traversal attacks. + + Args: + path: The path to validate. + + Returns: + The normalized path. + + Raises: + ValueError: If the path is outside allowed directories. + """ + # Normalize the path (resolve .. and . components) + normalized = PurePosixPath(posixpath.normpath(path)) + + # Must be an absolute path + if not normalized.is_absolute(): + raise ValueError(f"Path must be absolute, got: '{path}'") + + # Use component-aware check: the path must be equal to or a child of an allowed base. + # This prevents "/workspace2" from matching "/workspace" (unlike string startswith). + if not any(normalized == base or base in normalized.parents for base in ALLOWED_BASE_PATHS): + raise ValueError(f"Path '{path}' is outside allowed directories. " + f"Allowed: {[str(p) for p in ALLOWED_BASE_PATHS]}") + + return normalized.as_posix() + + +class FileReadInput(BaseModel): + """Input schema for file reading.""" + + path: str = Field(description="Path to the file to read in the sandbox.") + + +class FileWriteInput(BaseModel): + """Input schema for file writing.""" + + path: str = Field(description="Path where the file should be written.") + content: str = Field(description="Content to write to the file.") + + +async def read_file( + executor: SandboxToolExecutor, + path: str, +) -> dict[str, Any]: + """Read a file from the sandbox. + + Args: + executor: The sandbox executor instance. + path: Path to the file. + + Returns: + Dict with status and content or error message. + """ + logger.info(f"Reading file: {path}") + + try: + # Validate path to prevent traversal attacks + validated_path = _validate_path(path) + content = await executor.sandbox.read_file(validated_path) + return { + "status": "success", + "content": executor.truncate(content), + "path": validated_path, + } + except ValueError as e: + return { + "status": "error", + "error": str(e), + } + except FileNotFoundError: + return { + "status": "error", + "error": f"File not found: {path}", + } + except Exception as e: + return { + "status": "error", + "error": str(e), + } + + +async def write_file( + executor: SandboxToolExecutor, + path: str, + content: str, +) -> dict[str, Any]: + """Write content to a file in the sandbox. + + Args: + executor: The sandbox executor instance. + path: Path to the file. + content: Content to write. + + Returns: + Dict with status and path. + """ + logger.info(f"Writing file: {path} ({len(content)} chars)") + + try: + # Validate path to prevent traversal attacks + validated_path = _validate_path(path) + await executor.sandbox.write_file(validated_path, content) + return { + "status": "success", + "path": validated_path, + "size": len(content), + } + except ValueError as e: + return { + "status": "error", + "error": str(e), + } + except Exception as e: + return { + "status": "error", + "error": str(e), + } + + +def create_file_read_tool(executor: SandboxToolExecutor) -> StructuredTool: + """Create the file read tool. + + Args: + executor: The sandbox executor instance. + + Returns: + LangChain StructuredTool instance. + """ + return StructuredTool.from_function( + coroutine=lambda path: read_file(executor, path), + name="file_read", + description=("Read the contents of a file from the sandbox. " + "Returns the file content as text."), + args_schema=FileReadInput, + ) + + +def create_file_write_tool(executor: SandboxToolExecutor) -> StructuredTool: + """Create the file write tool. + + Args: + executor: The sandbox executor instance. + + Returns: + LangChain StructuredTool instance. + """ + return StructuredTool.from_function( + coroutine=lambda path, content: write_file(executor, path, content), + name="file_write", + description=("Write content to a file in the sandbox. " + "Parent directories are created automatically if needed."), + args_schema=FileWriteInput, + ) diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/utils/__init__.py b/examples/sandbox_agent/src/nat_sandbox_agent/utils/__init__.py new file mode 100644 index 0000000..0952926 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/utils/__init__.py @@ -0,0 +1,19 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utility functions for sandbox agent.""" + +from nat_sandbox_agent.utils.answer_cleaning import clean_answer_with_llm + +__all__ = ["clean_answer_with_llm"] diff --git a/examples/sandbox_agent/src/nat_sandbox_agent/utils/answer_cleaning.py b/examples/sandbox_agent/src/nat_sandbox_agent/utils/answer_cleaning.py new file mode 100644 index 0000000..cf19d50 --- /dev/null +++ b/examples/sandbox_agent/src/nat_sandbox_agent/utils/answer_cleaning.py @@ -0,0 +1,118 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Answer cleaning utilities for GAIA-style evaluation.""" + +import logging +import re + +from langchain_core.messages import HumanMessage +from langchain_core.messages import SystemMessage + +logger = logging.getLogger(__name__) + +_ANSWER_CLEANING_PROMPT = """\ +You are an answer-formatting assistant for a benchmark evaluation. + +You will receive a QUESTION and a RAW ANSWER produced by an AI agent. +Your job is to extract and format ONLY the final answer so it can be \ +compared to a ground-truth string. + +## Rules + +### Extraction +1. **Extract only the core answer** — remove preamble ("The answer is…", \ +"Based on my analysis…", "Therefore…"), trailing explanation, and formatting \ +artifacts (markdown bold, prefixes, etc.). +2. **Never change the substance** — do not add, remove, or alter factual \ +content. "42" stays "42", not "forty-two". +3. **Preserve completeness** — if the answer is a formula like \ +"(¬A → B) ↔ (A ∨ ¬B)", output it in full. Do NOT truncate. + +### Formatting +4. **Match the question's expected type**: + - Number → just the number, no units unless required. + - Name → just the name. + - List → use the delimiter the question specifies (default: comma-separated). + - Sentence → capitalize first word, end with period. + - Yes/No → Title Case ("Yes" / "No"). + - Direction → Title Case ("Left", "Right", "North", etc.). +5. **Match the question's expected scale** — if the question asks \ +"how many thousand hours" and the raw answer is "17000 hours", output "17". \ +Similarly, "how many million" → divide by 1,000,000. +6. **Preserve capitalization** — do NOT change case unless the question \ +specifies it, or for Yes/No and directional answers. +7. **Punctuation** — do NOT add a trailing period unless a sentence is \ +requested. Remove trailing periods from words, names, or numbers. Remove \ +currency symbols ($, €) unless asked for. + +### Output +8. **If the raw answer is empty or says it cannot answer**, output as-is. +9. **Output ONLY the cleaned answer** — no quotes, no explanation, nothing else. +""" + + +async def clean_answer_with_llm( + llm, + question: str, + response: str, +) -> str: + """Clean the agent response using an LLM for context-aware formatting. + + The LLM sees both the original question and the raw answer so it can + make context-appropriate formatting decisions (e.g., stripping preamble, + adjusting units/scale, preserving formulas). + + Falls back to returning the raw response (stripped) if the LLM call fails. + + Args: + llm: A LangChain BaseChatModel instance. + question: The original question that was asked. + response: The raw agent response to clean. + + Returns: + Cleaned answer string. + """ + if not response or not response.strip(): + return response + + raw = response.strip() + + # Short-circuit: if the answer is already very short and simple, skip LLM + if len(raw) <= 3 and re.fullmatch(r"-?\d+\.?\d*", raw): + return raw + + try: + messages = [ + SystemMessage(content=_ANSWER_CLEANING_PROMPT), + HumanMessage(content=f"QUESTION:\n{question}\n\nRAW ANSWER:\n{raw}"), + ] + result = await llm.ainvoke(messages) + cleaned = result.content.strip() + + # Guard: if the LLM returned something empty or much longer than + # the raw answer, something went wrong — fall back to raw. + if not cleaned: + logger.warning("LLM answer cleaning returned empty, using raw answer") + return raw + if len(cleaned) > len(raw) * 2 + 50: + logger.warning("LLM answer cleaning returned suspiciously long output, using raw answer") + return raw + + logger.debug(f"LLM answer cleaning: {raw!r} -> {cleaned!r}") + return cleaned + + except Exception as e: + logger.warning(f"LLM answer cleaning failed ({e}), using raw answer") + return raw diff --git a/examples/sandbox_agent/tests/__init__.py b/examples/sandbox_agent/tests/__init__.py new file mode 100644 index 0000000..b9a3a40 --- /dev/null +++ b/examples/sandbox_agent/tests/__init__.py @@ -0,0 +1,15 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for the Sandbox Agent package.""" diff --git a/examples/sandbox_agent/tests/conftest.py b/examples/sandbox_agent/tests/conftest.py new file mode 100644 index 0000000..e2b5c4c --- /dev/null +++ b/examples/sandbox_agent/tests/conftest.py @@ -0,0 +1,86 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Pytest configuration and fixtures for sandbox agent tests.""" + +import asyncio +from unittest.mock import AsyncMock +from unittest.mock import MagicMock + +import pytest + +from nat_sandbox_agent.sandbox.base import BaseSandbox +from nat_sandbox_agent.sandbox.base import CommandResult + + +@pytest.fixture(scope="session") +def event_loop(): + """Create an event loop for async tests.""" + loop = asyncio.get_event_loop_policy().new_event_loop() + yield loop + loop.close() + + +@pytest.fixture +def mock_sandbox() -> MagicMock: + """Create a mock sandbox instance for testing. + + Mocks the 5 core methods of BaseSandbox: + - start, cleanup (lifecycle) + - run_command (execution) + - read_file, write_file (file I/O) + """ + sandbox = MagicMock(spec=BaseSandbox) + + # Mock command execution + sandbox.run_command = AsyncMock(return_value=CommandResult(exit_code=0, stdout="output", stderr="")) + + # Mock file operations + sandbox.read_file = AsyncMock(return_value="file content") + sandbox.read_file_bytes = AsyncMock(return_value=b"file content") + sandbox.write_file = AsyncMock(return_value=None) + + # Mock lifecycle + sandbox.start = AsyncMock(return_value=None) + sandbox.cleanup = AsyncMock(return_value=None) + + return sandbox + + +@pytest.fixture +def docker_sandbox_config() -> dict: + """Configuration for Docker sandbox testing.""" + return { + "type": "docker", + "image": "python:3.12-slim", + "memory_limit": "512m", + "cpu_limit": 1.0, + "network_enabled": True, + "work_dir": "/workspace", + } + + +@pytest.fixture +def daytona_sandbox_config() -> dict: + """Configuration for Daytona sandbox testing.""" + return { + "type": "daytona", + "api_key": "test-api-key", + "server_url": "https://api.daytona.io", + "target": "us", + "image": "daytonaio/workspace:latest", + "cpu": 2, + "memory": 4, + "disk": 10, + } diff --git a/examples/sandbox_agent/tests/test_daytona_sandbox.py b/examples/sandbox_agent/tests/test_daytona_sandbox.py new file mode 100644 index 0000000..b51c3a1 --- /dev/null +++ b/examples/sandbox_agent/tests/test_daytona_sandbox.py @@ -0,0 +1,232 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for Daytona sandbox implementation using mocks.""" + +from unittest.mock import MagicMock +from unittest.mock import patch + +import pytest + +from nat_sandbox_agent.sandbox.daytona_sandbox import DaytonaSandbox + + +class TestDaytonaSandboxInit: + """Tests for DaytonaSandbox initialization.""" + + def test_init_with_defaults(self): + """Test initialization with default values.""" + sandbox = DaytonaSandbox(api_key="test-key") + + assert sandbox._api_key == "test-key" + assert sandbox._server_url == "https://api.daytona.io" + assert sandbox._target == "us" + assert sandbox._image == "daytonaio/workspace:latest" + assert sandbox._cpu == 2 + assert sandbox._memory == 4 + assert sandbox._disk == 10 + assert sandbox._auto_stop_interval == 30 + + def test_init_with_custom_values(self): + """Test initialization with custom values.""" + sandbox = DaytonaSandbox( + api_key="custom-key", + server_url="https://custom.daytona.io", + target="eu", + image="custom/image:latest", + cpu=4, + memory=8, + disk=20, + auto_stop_interval=60, + ) + + assert sandbox._api_key == "custom-key" + assert sandbox._server_url == "https://custom.daytona.io" + assert sandbox._target == "eu" + assert sandbox._image == "custom/image:latest" + assert sandbox._cpu == 4 + assert sandbox._memory == 8 + assert sandbox._disk == 20 + assert sandbox._auto_stop_interval == 60 + + def test_client_is_lazy_loaded(self): + """Test that client is None until first use.""" + sandbox = DaytonaSandbox(api_key="test-key") + + assert sandbox._client is None + assert sandbox._sandbox is None + + +class TestDaytonaSandboxClient: + """Tests for Daytona client initialization.""" + + def test_get_client_import_error(self): + """Test error when daytona_sdk is not installed.""" + sandbox = DaytonaSandbox(api_key="test-key") + + with patch.dict("sys.modules", {"daytona_sdk": None}): + with pytest.raises(ImportError, match="daytona-sdk"): + sandbox._get_client() + + def test_get_client_creates_client(self): + """Test that _get_client creates a Daytona client.""" + sandbox = DaytonaSandbox(api_key="test-key") + + mock_daytona = MagicMock() + mock_config = MagicMock() + + with patch.dict( + "sys.modules", + { + "daytona_sdk": MagicMock( + Daytona=mock_daytona, + DaytonaConfig=mock_config, + ), + }, + ): + sandbox._get_client() + + mock_config.assert_called_once_with( + api_key="test-key", + ) + assert sandbox._client is not None + + +class TestDaytonaSandboxLifecycle: + """Tests for Daytona sandbox lifecycle using mocks.""" + + @pytest.fixture + def mock_sandbox(self): + """Create a DaytonaSandbox with mocked SDK.""" + sandbox = DaytonaSandbox(api_key="test-key") + + # Mock the sandbox instance + mock_instance = MagicMock() + mock_instance.id = "mock-sandbox-id" + + # Mock client + mock_client = MagicMock() + mock_client.create.return_value = mock_instance + + sandbox._client = mock_client + sandbox._sandbox = mock_instance + + return sandbox + + @pytest.mark.asyncio + async def test_cleanup(self, mock_sandbox): + """Test sandbox cleanup.""" + mock_delete = MagicMock() + mock_sandbox._sandbox.delete = mock_delete + + await mock_sandbox.cleanup() + + mock_delete.assert_called_once() + assert mock_sandbox._sandbox is None + + +class TestDaytonaSandboxCommands: + """Tests for command execution in Daytona sandbox.""" + + @pytest.fixture + def running_sandbox(self): + """Create a running Daytona sandbox with mocked SDK.""" + sandbox = DaytonaSandbox(api_key="test-key") + + # Mock sandbox instance + mock_instance = MagicMock() + mock_instance.id = "test-id" + + # Mock process.exec (new SDK: stdout is in result.result, not result.stdout) + mock_result = MagicMock() + mock_result.exit_code = 0 + mock_result.result = "output" + mock_instance.process.exec.return_value = mock_result + + sandbox._sandbox = mock_instance + return sandbox + + @pytest.mark.asyncio + async def test_run_command_success(self, running_sandbox): + """Test successful command execution.""" + result = await running_sandbox.run_command("echo hello", "/workspace") + + assert result.exit_code == 0 + assert result.stdout == "output" + running_sandbox._sandbox.process.exec.assert_called_once() + + @pytest.mark.asyncio + async def test_run_command_not_started(self): + """Test command execution fails if sandbox not started.""" + sandbox = DaytonaSandbox(api_key="test-key") + + with pytest.raises(RuntimeError, match="not started"): + await sandbox.run_command("echo hello") + + @pytest.mark.asyncio + async def test_run_command_failure(self, running_sandbox): + """Test command execution failure.""" + running_sandbox._sandbox.process.exec.side_effect = Exception("Command failed") + + result = await running_sandbox.run_command("invalid_command") + + assert result.exit_code == -1 + assert "Command failed" in result.stderr + + +class TestDaytonaSandboxFileOps: + """Tests for file operations in Daytona sandbox.""" + + @pytest.fixture + def sandbox_with_fs(self): + """Create a Daytona sandbox with mocked filesystem.""" + sandbox = DaytonaSandbox(api_key="test-key") + + mock_instance = MagicMock() + mock_fs = MagicMock() + mock_instance.fs = mock_fs + mock_instance.process = MagicMock() + + sandbox._sandbox = mock_instance + return sandbox + + @pytest.mark.asyncio + async def test_read_file_success(self, sandbox_with_fs): + """Test successful file read.""" + # Daytona SDK download_file returns bytes + sandbox_with_fs._sandbox.fs.download_file.return_value = b"file content" + + content = await sandbox_with_fs.read_file("/workspace/test.txt") + + assert content == "file content" + + @pytest.mark.asyncio + async def test_read_file_not_found(self, sandbox_with_fs): + """Test file not found error.""" + sandbox_with_fs._sandbox.fs.download_file.side_effect = Exception("file not found") + + with pytest.raises(FileNotFoundError): + await sandbox_with_fs.read_file("/workspace/nonexistent.txt") + + @pytest.mark.asyncio + async def test_write_file_success(self, sandbox_with_fs): + """Test successful file write.""" + # Mock run_command for mkdir + mock_result = MagicMock(exit_code=0) + sandbox_with_fs._sandbox.process.exec.return_value = mock_result + + await sandbox_with_fs.write_file("/workspace/output/test.txt", "content") + + # Daytona SDK upload_file takes (bytes, path) + sandbox_with_fs._sandbox.fs.upload_file.assert_called_once_with(b"content", "/workspace/output/test.txt") diff --git a/examples/sandbox_agent/tests/test_docker_sandbox_integration.py b/examples/sandbox_agent/tests/test_docker_sandbox_integration.py new file mode 100644 index 0000000..6b7892f --- /dev/null +++ b/examples/sandbox_agent/tests/test_docker_sandbox_integration.py @@ -0,0 +1,324 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Integration tests for Docker sandbox. + +These tests require Docker to be running and will create real containers. +Mark with @pytest.mark.integration to allow skipping in CI environments. +""" + +import pytest +import pytest_asyncio + +from nat_sandbox_agent.sandbox.docker_sandbox import DockerSandbox + + +def docker_available(): + """Check if Docker is available.""" + try: + import docker + client = docker.from_env() + client.ping() + return True + except Exception: + return False + + +# Check Docker availability at module load time +_docker_available = docker_available() + +# Skip all tests in this module if Docker is not available +pytestmark = [ + pytest.mark.integration, + pytest.mark.asyncio, +] + + +# Use a fixture-based skip instead of pytestmark for conditional skipping +@pytest.fixture(autouse=True) +def skip_without_docker(): + """Skip tests if Docker is not available.""" + if not _docker_available: + pytest.skip("Docker not available") + + +class TestDockerSandboxLifecycle: + """Integration tests for Docker sandbox lifecycle.""" + + @pytest_asyncio.fixture + async def sandbox(self): + """Create a Docker sandbox for testing.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="256m", + cpu_limit=0.5, + network_enabled=True, + ) + yield sandbox + # Cleanup after test + try: + await sandbox.cleanup() + except Exception: + pass + + @pytest.mark.asyncio + async def test_start_and_cleanup(self, sandbox): + """Test sandbox start and cleanup lifecycle.""" + # Start sandbox + await sandbox.start() + + # Container should exist + assert sandbox._container is not None + + # Cleanup + await sandbox.cleanup() + + # Container should be removed + assert sandbox._container is None + + +class TestDockerSandboxCommands: + """Integration tests for Docker sandbox command execution.""" + + @pytest_asyncio.fixture + async def running_sandbox(self): + """Create and start a Docker sandbox.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="256m", + cpu_limit=0.5, + network_enabled=True, + ) + await sandbox.start() + yield sandbox + try: + await sandbox.cleanup() + except Exception: + pass + + @pytest.mark.asyncio + async def test_run_command_success(self, running_sandbox): + """Test running a simple command.""" + result = await running_sandbox.run_command("echo Hello World") + + assert result.success is True + assert result.exit_code == 0 + assert "Hello World" in result.stdout + + @pytest.mark.asyncio + async def test_run_command_failure(self, running_sandbox): + """Test running a command that fails.""" + result = await running_sandbox.run_command("exit 1") + + assert result.success is False + assert result.exit_code == 1 + + @pytest.mark.asyncio + async def test_run_command_with_stderr(self, running_sandbox): + """Test running a command that outputs to stderr.""" + result = await running_sandbox.run_command("echo error >&2") + + assert result.exit_code == 0 + assert "error" in result.stderr + + @pytest.mark.asyncio + async def test_run_python_code(self, running_sandbox): + """Test running Python code via command.""" + # Use run_command with python3 directly to avoid escaping issues + result = await running_sandbox.run_command("python3 -c \"print(2 ** 10)\"") + + assert result.success is True + assert "1024" in result.stdout + + @pytest.mark.asyncio + async def test_run_python_with_imports(self, running_sandbox): + """Test running Python code with imports via file.""" + # Write a Python file and execute it to avoid escaping issues + code = 'import json\ndata = {"key": "value"}\nprint(json.dumps(data))' + await running_sandbox.write_file("/workspace/test_script.py", code) + result = await running_sandbox.run_command("python3 /workspace/test_script.py") + + assert result.success is True + assert "key" in result.stdout + assert "value" in result.stdout + + @pytest.mark.asyncio + async def test_run_command_with_working_dir(self, running_sandbox): + """Test running a command in specific working directory.""" + # Create directory first + await running_sandbox.run_command("mkdir -p /workspace/testdir") + + result = await running_sandbox.run_command("pwd", working_dir="/workspace/testdir") + + assert result.success is True + assert "/workspace/testdir" in result.stdout + + +class TestDockerSandboxFileOperations: + """Integration tests for Docker sandbox file operations.""" + + @pytest_asyncio.fixture + async def running_sandbox(self): + """Create and start a Docker sandbox.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="256m", + cpu_limit=0.5, + network_enabled=True, + ) + await sandbox.start() + yield sandbox + try: + await sandbox.cleanup() + except Exception: + pass + + @pytest.mark.asyncio + async def test_write_and_read_file(self, running_sandbox): + """Test writing and reading a file.""" + test_content = "Hello, Docker Sandbox!" + test_path = "/workspace/test_file.txt" + + # Write file + await running_sandbox.write_file(test_path, test_content) + + # Read file + content = await running_sandbox.read_file(test_path) + + assert content == test_content + + @pytest.mark.asyncio + async def test_read_nonexistent_file(self, running_sandbox): + """Test reading a file that doesn't exist.""" + with pytest.raises(FileNotFoundError): + await running_sandbox.read_file("/workspace/nonexistent.txt") + + @pytest.mark.asyncio + async def test_write_creates_parent_directories(self, running_sandbox): + """Test that writing a file creates parent directories.""" + test_path = "/workspace/nested/deep/file.txt" + + await running_sandbox.write_file(test_path, "nested content") + + content = await running_sandbox.read_file(test_path) + assert content == "nested content" + + +class TestDockerSandboxNetwork: + """Integration tests for Docker sandbox network operations.""" + + @pytest_asyncio.fixture + async def running_sandbox(self): + """Create and start a Docker sandbox with network enabled.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="256m", + cpu_limit=0.5, + network_enabled=True, + ) + await sandbox.start() + yield sandbox + try: + await sandbox.cleanup() + except Exception: + pass + + @pytest.mark.asyncio + async def test_network_access(self, running_sandbox): + """Test that sandbox has network access.""" + # Check DNS resolution using a simple command + result = await running_sandbox.run_command("getent hosts google.com") + + # Should succeed with network enabled + assert result.exit_code == 0 + + @pytest_asyncio.fixture + async def no_network_sandbox(self): + """Create and start a Docker sandbox without network.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="256m", + cpu_limit=0.5, + network_enabled=False, + ) + await sandbox.start() + yield sandbox + try: + await sandbox.cleanup() + except Exception: + pass + + @pytest.mark.asyncio + async def test_no_network_access(self, no_network_sandbox): + """Test that sandbox without network cannot access internet.""" + result = await no_network_sandbox.run_command( + "python3 -c \"import socket; socket.gethostbyname('google.com')\"", + timeout=10, + ) + + # Should fail with network disabled + assert result.exit_code != 0 + + +class TestDockerSandboxResourceLimits: + """Integration tests for Docker sandbox resource limits.""" + + @pytest.mark.asyncio + async def test_memory_limit(self): + """Test that memory limit is enforced.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="64m", + cpu_limit=0.5, + ) + + try: + await sandbox.start() + + # Write and run a Python script that tries to allocate too much memory + code = "x = 'a' * (100 * 1024 * 1024)" # Try to allocate 100MB + await sandbox.write_file("/workspace/test_memory.py", code) + result = await sandbox.run_command( + "python3 /workspace/test_memory.py", + timeout=30, + ) + + # Should either fail or be killed + # The exact behavior depends on Docker configuration + # At minimum, it shouldn't hang forever + assert result is not None + + finally: + await sandbox.cleanup() + + @pytest.mark.asyncio + async def test_timeout(self): + """Test that command timeout works.""" + sandbox = DockerSandbox( + image="python:3.12-slim", + memory_limit="256m", + cpu_limit=0.5, + ) + + try: + await sandbox.start() + + # Run a command that takes longer than timeout + result = await sandbox.run_command("sleep 10", timeout=2) + + # Should fail due to timeout + assert result.success is False + + finally: + await sandbox.cleanup() diff --git a/examples/sandbox_agent/tests/test_prompts.py b/examples/sandbox_agent/tests/test_prompts.py new file mode 100644 index 0000000..10151cf --- /dev/null +++ b/examples/sandbox_agent/tests/test_prompts.py @@ -0,0 +1,99 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for system prompts.""" + +from nat_sandbox_agent.prompts import SANDBOX_AGENT_SYSTEM_PROMPT +from nat_sandbox_agent.prompts import get_system_prompt + + +class TestSystemPromptV1: + """Tests for v1 system prompt generation.""" + + def test_default_prompt_exists(self): + """Test that default system prompt is defined.""" + assert SANDBOX_AGENT_SYSTEM_PROMPT is not None + assert len(SANDBOX_AGENT_SYSTEM_PROMPT) > 0 + + def test_default_prompt_contains_capabilities(self): + """Test that default prompt describes capabilities.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + + assert "shell" in prompt.lower() + assert "python" in prompt.lower() + assert "file" in prompt.lower() + assert "web" in prompt.lower() + + def test_prompt_contains_print_guidance(self): + """Test that prompt includes critical Python print() guidance.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert "print()" in prompt + assert "ALWAYS use print()" in prompt or "ALWAYS use `print()`" in prompt + assert "Variables do NOT persist" in prompt + assert "empty stdout" in prompt + + def test_prompt_contains_file_extension_mapping(self): + """Test that prompt includes file extension to tool mapping.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert ".xlsx" in prompt + assert ".pdf" in prompt + assert "pdfplumber" in prompt + assert ".mp3" in prompt + assert "faster_whisper" in prompt + assert ".pptx" in prompt + assert "python-pptx" in prompt + + def test_prompt_contains_image_describe_tool(self): + """Test that prompt includes image_describe tool description.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert "image_describe" in prompt + assert "vision model" in prompt.lower() or "vision" in prompt.lower() + + def test_prompt_contains_format_verification(self): + """Test that prompt includes format verification checklist.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert "Format Verification" in prompt + assert "Number Format" in prompt + assert "Unit Requirements" in prompt + assert "Multiple Answers" in prompt + assert "Case Sensitivity" in prompt + assert "Date/Time Formats" in prompt + + def test_prompt_contains_package_install_guidance(self): + """Test that prompt includes package installation guidance with root privileges.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert "pip install" in prompt + assert "apt-get install" in prompt + assert "root privileges" in prompt + + def test_prompt_contains_calculation_verification(self): + """Test that prompt includes calculation and reasoning verification rules.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert "Calculation and Reasoning Verification" in prompt + assert "show your work" in prompt.lower() or "step by step" in prompt.lower() + + def test_prompt_contains_data_extraction_practices(self): + """Test that prompt includes data extraction best practices.""" + prompt = SANDBOX_AGENT_SYSTEM_PROMPT + assert "Data Extraction Best Practices" in prompt + assert "column headers" in prompt.lower() + assert "row alignment" in prompt.lower() + + def test_get_prompt_with_additional_instructions(self): + """Test getting prompt with additional instructions.""" + additional = "Always respond in JSON format." + prompt = get_system_prompt(additional_instructions=additional) + + assert SANDBOX_AGENT_SYSTEM_PROMPT in prompt + assert additional in prompt diff --git a/examples/sandbox_agent/tests/test_register.py b/examples/sandbox_agent/tests/test_register.py new file mode 100644 index 0000000..60cf43e --- /dev/null +++ b/examples/sandbox_agent/tests/test_register.py @@ -0,0 +1,231 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for workflow registration configuration.""" + +import pytest + +from nat_sandbox_agent.register import AgentState +from nat_sandbox_agent.register import SandboxAgentWorkflowConfig +from nat_sandbox_agent.sandbox.factory import DaytonaSandboxConfig +from nat_sandbox_agent.sandbox.factory import DockerSandboxConfig +from nat_sandbox_agent.sandbox.factory import SandboxType + + +class TestDockerSandboxConfig: + """Tests for DockerSandboxConfig class.""" + + def test_default_values(self): + """Test that default values are set correctly.""" + config = DockerSandboxConfig() + + assert config.type == "docker" + assert config.image == "python:3.12-slim" + assert config.memory_limit == "512m" + assert config.cpu_limit == 1.0 + assert config.network_enabled is True + assert config.work_dir == "/workspace" + assert config.auto_remove is False + + def test_custom_values(self): + """Test Docker-specific configuration.""" + config = DockerSandboxConfig( + image="nat-sandbox:latest", + memory_limit="4g", + cpu_limit=4.0, + network_enabled=False, + ) + + assert config.type == "docker" + assert config.image == "nat-sandbox:latest" + assert config.memory_limit == "4g" + assert config.cpu_limit == 4.0 + assert config.network_enabled is False + + def test_volumes_config(self): + """Test volume mounting configuration.""" + config = DockerSandboxConfig(volumes={"/host/path": "/container/path"}, ) + + assert config.volumes == {"/host/path": "/container/path"} + + def test_environment_config(self): + """Test environment variables configuration.""" + config = DockerSandboxConfig( + environment={"MY_VAR": "value"}, + pass_env_vars=["TAVILY_API_KEY"], + ) + + assert config.environment == {"MY_VAR": "value"} + assert config.pass_env_vars == ["TAVILY_API_KEY"] + + +class TestDaytonaSandboxConfig: + """Tests for DaytonaSandboxConfig class.""" + + def test_api_key_required(self): + """Test that api_key is required.""" + with pytest.raises(Exception): # Pydantic validation error + DaytonaSandboxConfig() + + def test_default_values(self): + """Test default values with required api_key.""" + config = DaytonaSandboxConfig(api_key="test-key") + + assert config.type == "daytona" + assert config.api_key == "test-key" + assert config.server_url == "https://api.daytona.io" + assert config.target == "us" + assert config.image == "daytonaio/workspace:latest" + assert config.cpu == 2 + assert config.memory == 4 + assert config.disk == 10 + assert config.auto_stop_interval == 30 + + def test_custom_values(self): + """Test Daytona-specific configuration.""" + config = DaytonaSandboxConfig( + api_key="test-api-key", + server_url="https://custom.daytona.io", + target="eu", + cpu=4, + memory=8, + ) + + assert config.type == "daytona" + assert config.api_key == "test-api-key" + assert config.server_url == "https://custom.daytona.io" + assert config.target == "eu" + assert config.cpu == 4 + assert config.memory == 8 + + +class TestSandboxType: + """Tests for SandboxType enum.""" + + def test_enum_values(self): + """Test SandboxType enum values.""" + assert SandboxType.DOCKER == "docker" + assert SandboxType.DAYTONA == "daytona" + + +class TestSandboxAgentWorkflowConfig: + """Tests for SandboxAgentWorkflowConfig class.""" + + def test_llm_name_required(self): + """Test that llm_name is required.""" + with pytest.raises(Exception): # Pydantic validation error + SandboxAgentWorkflowConfig() + + def test_default_values(self): + """Test that default values are set correctly.""" + config = SandboxAgentWorkflowConfig(llm_name="test_llm") + + assert config.llm_name == "test_llm" + assert config.max_iterations == 20 + assert config.max_observation_tokens == 10000 + assert config.enabled_tools is None + assert config.system_prompt is None + assert config.additional_instructions is None + + def test_default_sandbox_config(self): + """Test that default sandbox config is properly set.""" + config = SandboxAgentWorkflowConfig(llm_name="test_llm") + + assert config.sandbox_config["type"] == "docker" + assert config.sandbox_config["image"] == "python:3.12-slim" + assert config.sandbox_config["memory_limit"] == "1g" + assert config.sandbox_config["cpu_limit"] == 2.0 + assert config.sandbox_config["network_enabled"] is True + + def test_custom_sandbox_config(self): + """Test custom sandbox configuration.""" + config = SandboxAgentWorkflowConfig( + llm_name="test_llm", + sandbox_config={ + "type": "docker", + "image": "custom:latest", + "memory_limit": "2g", + }, + ) + + assert config.sandbox_config["image"] == "custom:latest" + assert config.sandbox_config["memory_limit"] == "2g" + + def test_enabled_tools_filtering(self): + """Test that enabled_tools can be specified.""" + config = SandboxAgentWorkflowConfig( + llm_name="test_llm", + enabled_tools=["shell", "python", "web_search"], + ) + + assert config.enabled_tools == ["shell", "python", "web_search"] + + def test_custom_prompts(self): + """Test custom system prompt and instructions.""" + config = SandboxAgentWorkflowConfig( + llm_name="test_llm", + system_prompt="Custom system prompt", + additional_instructions="Extra instructions", + ) + + assert config.system_prompt == "Custom system prompt" + assert config.additional_instructions == "Extra instructions" + + def test_max_iterations_range(self): + """Test various max_iterations values.""" + # Should accept positive integers + config = SandboxAgentWorkflowConfig(llm_name="test_llm", max_iterations=50) + assert config.max_iterations == 50 + + config = SandboxAgentWorkflowConfig(llm_name="test_llm", max_iterations=1) + assert config.max_iterations == 1 + + +class TestAgentState: + """Tests for AgentState TypedDict.""" + + def test_agent_state_structure(self): + """Test that AgentState has expected keys.""" + state: AgentState = { + "messages": [], + "iteration_count": 0, + "sandbox_id": "test-id", + } + + assert "messages" in state + assert "iteration_count" in state + assert "sandbox_id" in state + + def test_agent_state_messages(self): + """Test that messages can hold message objects.""" + from langchain_core.messages import HumanMessage + + state: AgentState = { + "messages": [HumanMessage(content="Hello")], + "iteration_count": 0, + "sandbox_id": "test-id", + } + + assert len(state["messages"]) == 1 + assert state["messages"][0].content == "Hello" + + def test_agent_state_iteration_tracking(self): + """Test iteration count tracking.""" + state: AgentState = { + "messages": [], + "iteration_count": 5, + "sandbox_id": "test-id", + } + + assert state["iteration_count"] == 5 diff --git a/examples/sandbox_agent/tests/test_sandbox.py b/examples/sandbox_agent/tests/test_sandbox.py new file mode 100644 index 0000000..75ec625 --- /dev/null +++ b/examples/sandbox_agent/tests/test_sandbox.py @@ -0,0 +1,140 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for sandbox implementations.""" + +import pytest + +from nat_sandbox_agent.sandbox.base import CommandResult +from nat_sandbox_agent.sandbox.factory import DaytonaSandboxConfig +from nat_sandbox_agent.sandbox.factory import DockerSandboxConfig +from nat_sandbox_agent.sandbox.factory import SandboxType +from nat_sandbox_agent.sandbox.factory import create_sandbox +from nat_sandbox_agent.sandbox.factory import create_sandbox_from_dict + + +class TestCommandResult: + """Tests for CommandResult dataclass.""" + + def test_success_property_true(self): + """Test success property when exit code is 0.""" + result = CommandResult(exit_code=0, stdout="output", stderr="") + assert result.success is True + + def test_success_property_false(self): + """Test success property when exit code is non-zero.""" + result = CommandResult(exit_code=1, stdout="", stderr="error") + assert result.success is False + + def test_to_dict(self): + """Test to_dict method.""" + result = CommandResult(exit_code=0, stdout="output", stderr="error") + d = result.to_dict() + + assert d["exit_code"] == 0 + assert d["stdout"] == "output" + assert d["stderr"] == "error" + assert d["success"] is True + + +class TestDockerSandboxConfig: + """Tests for DockerSandboxConfig.""" + + def test_default_values(self): + """Test default configuration values.""" + config = DockerSandboxConfig() + + assert config.type == "docker" + assert config.image == "python:3.12-slim" + assert config.memory_limit == "512m" + assert config.cpu_limit == 1.0 + assert config.network_enabled is True + assert config.work_dir == "/workspace" + assert config.auto_remove is False + + def test_custom_values(self): + """Test custom configuration values.""" + config = DockerSandboxConfig( + image="custom:latest", + memory_limit="2g", + cpu_limit=4.0, + network_enabled=False, + ) + + assert config.image == "custom:latest" + assert config.memory_limit == "2g" + assert config.cpu_limit == 4.0 + assert config.network_enabled is False + + +class TestDaytonaSandboxConfig: + """Tests for DaytonaSandboxConfig.""" + + def test_required_api_key(self): + """Test that api_key is required.""" + with pytest.raises(ValueError): + DaytonaSandboxConfig() + + def test_with_api_key(self): + """Test configuration with api_key.""" + config = DaytonaSandboxConfig(api_key="test-key") + + assert config.type == "daytona" + assert config.api_key == "test-key" + assert config.server_url == "https://api.daytona.io" + assert config.target == "us" + assert config.cpu == 2 + assert config.memory == 4 + assert config.disk == 10 + + +class TestSandboxFactory: + """Tests for sandbox factory functions.""" + + def test_create_docker_sandbox(self, docker_sandbox_config): + """Test creating a Docker sandbox.""" + config = DockerSandboxConfig(**docker_sandbox_config) + sandbox = create_sandbox(config) + + assert sandbox is not None + # Check type without importing DockerSandbox to avoid circular imports + assert sandbox.__class__.__name__ == "DockerSandbox" + + def test_create_sandbox_from_dict_docker(self, docker_sandbox_config): + """Test creating a Docker sandbox from dict.""" + sandbox = create_sandbox_from_dict(docker_sandbox_config) + + assert sandbox is not None + assert sandbox.__class__.__name__ == "DockerSandbox" + + def test_create_sandbox_from_dict_default(self): + """Test creating sandbox with minimal config defaults to Docker.""" + sandbox = create_sandbox_from_dict({}) + + assert sandbox is not None + assert sandbox.__class__.__name__ == "DockerSandbox" + + def test_create_sandbox_invalid_type(self): + """Test error handling for invalid sandbox type.""" + with pytest.raises(ValueError, match="Unknown sandbox type"): + create_sandbox_from_dict({"type": "invalid"}) + + +class TestSandboxType: + """Tests for SandboxType enum.""" + + def test_enum_values(self): + """Test enum values.""" + assert SandboxType.DOCKER == "docker" + assert SandboxType.DAYTONA == "daytona" diff --git a/examples/sandbox_agent/tests/test_tools_factory.py b/examples/sandbox_agent/tests/test_tools_factory.py new file mode 100644 index 0000000..23e82a8 --- /dev/null +++ b/examples/sandbox_agent/tests/test_tools_factory.py @@ -0,0 +1,214 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for tool factory functions.""" + +from unittest.mock import AsyncMock +from unittest.mock import MagicMock + +from nat_sandbox_agent.tools import create_all_tools +from nat_sandbox_agent.tools import create_host_tools +from nat_sandbox_agent.tools import create_sandbox_tools +from nat_sandbox_agent.tools import get_tool_descriptions + + +class TestCreateAllTools: + """Tests for create_all_tools factory function.""" + + def test_returns_correct_number_of_tools(self, mock_sandbox): + """Test that create_all_tools returns all 7 tools.""" + tools = create_all_tools(sandbox=mock_sandbox) + + assert len(tools) == 7 + + def test_returns_all_expected_tool_names(self, mock_sandbox): + """Test that all expected tools are present.""" + tools = create_all_tools(sandbox=mock_sandbox) + tool_names = {t.name for t in tools} + + expected_tools = { + "shell", + "python", + "file_read", + "file_write", + "web_browse", + "web_search", + "web_fetch", + } + assert tool_names == expected_tools + + def test_include_tools_filters_correctly(self, mock_sandbox): + """Test that include_tools parameter filters the tools.""" + tools = create_all_tools( + sandbox=mock_sandbox, + include_tools=["shell", "python", "web_search"], + ) + + tool_names = {t.name for t in tools} + assert tool_names == {"shell", "python", "web_search"} + assert len(tools) == 3 + + def test_include_tools_ignores_unknown_names(self, mock_sandbox): + """Test that unknown tool names are silently ignored.""" + tools = create_all_tools( + sandbox=mock_sandbox, + include_tools=["shell", "unknown_tool", "python"], + ) + + tool_names = {t.name for t in tools} + assert tool_names == {"shell", "python"} + assert len(tools) == 2 + + def test_accepts_custom_tavily_api_key(self, mock_sandbox): + """Test that tavily_api_key parameter is accepted.""" + # Should not raise + tools = create_all_tools( + sandbox=mock_sandbox, + tavily_api_key="test-api-key", + ) + assert len(tools) == 7 + + def test_accepts_custom_max_output_chars(self, mock_sandbox): + """Test that max_output_chars parameter is accepted.""" + tools = create_all_tools( + sandbox=mock_sandbox, + max_output_chars=5000, + ) + assert len(tools) == 7 + + def test_with_vision_llm_adds_image_describe(self, mock_sandbox): + """Test that providing vision_llm adds image_describe tool.""" + mock_vision_llm = MagicMock() + mock_vision_llm.ainvoke = AsyncMock() + + tools = create_all_tools( + sandbox=mock_sandbox, + vision_llm=mock_vision_llm, + ) + + assert len(tools) == 8 + tool_names = {t.name for t in tools} + assert "image_describe" in tool_names + + def test_without_vision_llm_no_image_describe(self, mock_sandbox): + """Test that without vision_llm, image_describe is not included.""" + tools = create_all_tools(sandbox=mock_sandbox) + + tool_names = {t.name for t in tools} + assert "image_describe" not in tool_names + + def test_include_tools_can_select_image_describe(self, mock_sandbox): + """Test that include_tools can select image_describe when vision_llm is provided.""" + mock_vision_llm = MagicMock() + mock_vision_llm.ainvoke = AsyncMock() + + tools = create_all_tools( + sandbox=mock_sandbox, + vision_llm=mock_vision_llm, + include_tools=["shell", "image_describe"], + ) + + tool_names = {t.name for t in tools} + assert tool_names == {"shell", "image_describe"} + + +class TestCreateSandboxTools: + """Tests for create_sandbox_tools function.""" + + def test_returns_five_sandbox_tools(self, mock_sandbox): + """Test that create_sandbox_tools returns exactly 5 tools.""" + tools = create_sandbox_tools(sandbox=mock_sandbox) + + assert len(tools) == 5 + + def test_returns_expected_sandbox_tools(self, mock_sandbox): + """Test that all sandbox tools are present.""" + tools = create_sandbox_tools(sandbox=mock_sandbox) + tool_names = {t.name for t in tools} + + expected = {"shell", "python", "file_read", "file_write", "web_browse"} + assert tool_names == expected + + def test_include_tools_filters_sandbox_tools(self, mock_sandbox): + """Test filtering sandbox tools with include_tools.""" + tools = create_sandbox_tools( + sandbox=mock_sandbox, + include_tools=["shell", "file_read"], + ) + + tool_names = {t.name for t in tools} + assert tool_names == {"shell", "file_read"} + + +class TestCreateHostTools: + """Tests for create_host_tools function.""" + + def test_returns_two_host_tools(self): + """Test that create_host_tools returns exactly 2 tools.""" + tools = create_host_tools() + + assert len(tools) == 2 + + def test_returns_expected_host_tools(self): + """Test that all host tools are present.""" + tools = create_host_tools() + tool_names = {t.name for t in tools} + + expected = {"web_search", "web_fetch"} + assert tool_names == expected + + +class TestGetToolDescriptions: + """Tests for get_tool_descriptions function.""" + + def test_returns_string(self): + """Test that get_tool_descriptions returns a string.""" + descriptions = get_tool_descriptions() + + assert isinstance(descriptions, str) + + def test_contains_all_tool_names(self): + """Test that all tool names are mentioned in descriptions.""" + descriptions = get_tool_descriptions() + + expected_tools = [ + "shell", + "python", + "file_read", + "file_write", + "web_browse", + "web_search", + "web_fetch", + "image_describe", + ] + for tool_name in expected_tools: + assert tool_name in descriptions + + def test_starts_with_header(self): + """Test that descriptions start with proper header.""" + descriptions = get_tool_descriptions() + + assert descriptions.startswith("Available tools:") + + def test_each_tool_has_description(self): + """Test that each tool line has a description.""" + descriptions = get_tool_descriptions() + lines = descriptions.split("\n") + + # Skip header line + tool_lines = [line for line in lines[1:] if line.strip()] + + for line in tool_lines: + assert ":" in line, f"Tool line missing description separator: {line}" + assert line.strip().startswith("- "), f"Tool line missing bullet: {line}" diff --git a/examples/sandbox_agent/tests/test_tools_host.py b/examples/sandbox_agent/tests/test_tools_host.py new file mode 100644 index 0000000..d08fb99 --- /dev/null +++ b/examples/sandbox_agent/tests/test_tools_host.py @@ -0,0 +1,369 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for host-side tools (web_search, web_fetch).""" + +from unittest.mock import AsyncMock +from unittest.mock import MagicMock +from unittest.mock import patch + +import httpx +import pytest + +from nat_sandbox_agent.tools.host.web_fetch import WebFetchInput +from nat_sandbox_agent.tools.host.web_fetch import create_web_fetch_tool +from nat_sandbox_agent.tools.host.web_fetch import web_fetch +from nat_sandbox_agent.tools.host.web_search import HostWebSearchTool +from nat_sandbox_agent.tools.host.web_search import create_web_search_tool + + +class TestHostWebSearchTool: + """Tests for HostWebSearchTool.""" + + def test_init_with_api_key(self): + """Test initialization with explicit API key.""" + tool = HostWebSearchTool(api_key="test-key") + + assert tool._api_key == "test-key" + assert tool._client is None + + def test_init_uses_env_var(self, monkeypatch): + """Test that API key is read from environment.""" + monkeypatch.setenv("TAVILY_API_KEY", "env-api-key") + tool = HostWebSearchTool() + + assert tool._api_key == "env-api-key" + + def test_get_client_raises_without_api_key(self): + """Test that getting client without API key raises error.""" + tool = HostWebSearchTool(api_key=None) + tool._api_key = None # Ensure no key + + with pytest.raises(ValueError, match="TAVILY_API_KEY not set"): + tool._get_client() + + @pytest.mark.asyncio + async def test_search_success(self): + """Test successful web search.""" + tool = HostWebSearchTool(api_key="test-key") + + mock_client = MagicMock() + mock_client.search = AsyncMock( + return_value={ + "results": [{ + "title": "Test Result", + "url": "https://example.com", + "content": "This is a test snippet", + "score": 0.95, + }], + "answer": "The answer is 42", + }) + tool._client = mock_client + + result = await tool.search("test query", num_results=5) + + assert result["status"] == "success" + assert len(result["results"]) == 1 + assert result["results"][0]["title"] == "Test Result" + assert result["results"][0]["url"] == "https://example.com" + assert result["results"][0]["snippet"] == "This is a test snippet" + assert result["answer"] == "The answer is 42" + + mock_client.search.assert_called_once_with( + query="test query", + max_results=5, + include_answer=True, + ) + + @pytest.mark.asyncio + async def test_search_limits_max_results(self): + """Test that max_results is capped at 10.""" + tool = HostWebSearchTool(api_key="test-key") + + mock_client = MagicMock() + mock_client.search = AsyncMock(return_value={"results": [], "answer": None}) + tool._client = mock_client + + await tool.search("test", num_results=15) + + mock_client.search.assert_called_once_with( + query="test", + max_results=10, # Should be capped + include_answer=True, + ) + + @pytest.mark.asyncio + async def test_search_error_handling(self): + """Test error handling in search.""" + tool = HostWebSearchTool(api_key="test-key") + + mock_client = MagicMock() + mock_client.search = AsyncMock(side_effect=Exception("API error")) + tool._client = mock_client + + result = await tool.search("test query") + + assert result["status"] == "error" + assert "API error" in result["error"] + + +class TestCreateWebSearchTool: + """Tests for create_web_search_tool function.""" + + def test_creates_structured_tool(self): + """Test that function creates a StructuredTool.""" + tool = create_web_search_tool(api_key="test-key") + + assert tool.name == "web_search" + assert "Search the web" in tool.description + + def test_tool_has_correct_schema(self): + """Test that tool has correct input schema.""" + tool = create_web_search_tool(api_key="test-key") + + # Check that the tool has expected input fields + schema = tool.args_schema.schema() + assert "query" in schema["properties"] + assert "num_results" in schema["properties"] + + +# ============ Web Fetch Tests ============ + + +def _mock_response(text, content_type="text/html", status_code=200, url="https://example.com"): + """Helper to create a mock httpx.Response.""" + resp = MagicMock(spec=httpx.Response) + resp.text = text + resp.status_code = status_code + resp.url = url + resp.headers = {"content-type": content_type} + resp.raise_for_status = MagicMock() + return resp + + +class TestWebFetchInput: + """Tests for WebFetchInput schema validation.""" + + def test_defaults(self): + """Test default values.""" + inp = WebFetchInput(url="https://example.com") + assert inp.url == "https://example.com" + assert inp.max_length == 5000 + assert inp.start_index == 0 + assert inp.raw is False + + def test_max_length_bounds(self): + """Test that max_length enforces bounds.""" + with pytest.raises(Exception): + WebFetchInput(url="https://example.com", max_length=0) + with pytest.raises(Exception): + WebFetchInput(url="https://example.com", max_length=200000) + + def test_start_index_non_negative(self): + """Test that start_index must be non-negative.""" + with pytest.raises(Exception): + WebFetchInput(url="https://example.com", start_index=-1) + + +class TestWebFetch: + """Tests for the web_fetch async function.""" + + @pytest.mark.asyncio + async def test_html_to_markdown(self): + """Test that HTML content is converted to Markdown.""" + html = "

Title

Hello world

" + mock_resp = _mock_response(html, "text/html") + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://example.com") + + assert result["status"] == "success" + assert "Title" in result["content"] + assert "Hello world" in result["content"] + assert result["total_length"] > 0 + + @pytest.mark.asyncio + async def test_plain_text_passthrough(self): + """Test that plain text is returned without conversion.""" + text = "Just plain text content" + mock_resp = _mock_response(text, "text/plain") + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://example.com/file.txt") + + assert result["status"] == "success" + assert result["content"] == text + + @pytest.mark.asyncio + async def test_json_passthrough(self): + """Test that JSON is returned without conversion.""" + json_text = '{"key": "value"}' + mock_resp = _mock_response(json_text, "application/json") + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://api.example.com/data") + + assert result["status"] == "success" + assert result["content"] == json_text + + @pytest.mark.asyncio + async def test_raw_mode_skips_conversion(self): + """Test that raw=True returns content without HTML-to-Markdown.""" + html = "

Title

" + mock_resp = _mock_response(html, "text/html") + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://example.com", raw=True) + + assert result["status"] == "success" + assert "

" in result["content"] + + @pytest.mark.asyncio + async def test_pagination(self): + """Test start_index and max_length pagination.""" + # Content = "AAAA...BBBB..." (20 A's + 20 B's = 40 chars) + text = "A" * 20 + "B" * 20 + mock_resp = _mock_response(text, "text/plain") + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + # First page + result = await web_fetch("https://example.com", max_length=20, start_index=0) + + assert result["content"] == "A" * 20 + assert result["total_length"] == 40 + assert result["has_more"] is True + assert result["next_start_index"] == 20 + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + # Second page + result2 = await web_fetch("https://example.com", max_length=20, start_index=20) + + assert result2["content"] == "B" * 20 + assert "has_more" not in result2 + + @pytest.mark.asyncio + async def test_http_error(self): + """Test handling of HTTP errors.""" + mock_resp = MagicMock(spec=httpx.Response) + mock_resp.status_code = 404 + mock_resp.reason_phrase = "Not Found" + mock_resp.raise_for_status.side_effect = httpx.HTTPStatusError( + "Not Found", request=MagicMock(), response=mock_resp + ) + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://example.com/missing") + + assert result["status"] == "error" + assert "404" in result["error"] + + @pytest.mark.asyncio + async def test_timeout_error(self): + """Test handling of timeout.""" + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.side_effect = httpx.TimeoutException("timed out") + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://slow.example.com") + + assert result["status"] == "error" + assert "timed out" in result["error"].lower() + + @pytest.mark.asyncio + async def test_converts_html_headings_to_markdown(self): + """Test that HTML headings are converted to ATX-style Markdown.""" + html = "

Title

Subtitle

Body text

" + mock_resp = _mock_response(html, "text/html") + + with patch("nat_sandbox_agent.tools.host.web_fetch.httpx.AsyncClient") as MockClient: + mock_ctx = AsyncMock() + mock_ctx.get.return_value = mock_resp + MockClient.return_value.__aenter__ = AsyncMock(return_value=mock_ctx) + MockClient.return_value.__aexit__ = AsyncMock(return_value=False) + + result = await web_fetch("https://example.com") + + content = result["content"] + # ATX headings: # Title, ## Subtitle + assert "# Title" in content + assert "## Subtitle" in content + assert "Body text" in content + # HTML tags should not appear in output + assert "

" not in content + assert "

" not in content + + +class TestCreateWebFetchTool: + """Tests for create_web_fetch_tool function.""" + + def test_creates_structured_tool(self): + """Test that function creates a StructuredTool.""" + tool = create_web_fetch_tool() + + assert tool.name == "web_fetch" + assert "Markdown" in tool.description + + def test_tool_has_correct_schema(self): + """Test that tool has correct input schema.""" + tool = create_web_fetch_tool() + + schema = tool.args_schema.model_json_schema() + assert "url" in schema["properties"] + assert "max_length" in schema["properties"] + assert "start_index" in schema["properties"] + assert "raw" in schema["properties"] + + def test_accepts_custom_max_output_chars(self): + """Test that max_output_chars parameter is accepted.""" + tool = create_web_fetch_tool(max_output_chars=5000) + assert tool is not None + + diff --git a/examples/sandbox_agent/tests/test_tools_image_describe.py b/examples/sandbox_agent/tests/test_tools_image_describe.py new file mode 100644 index 0000000..10dc596 --- /dev/null +++ b/examples/sandbox_agent/tests/test_tools_image_describe.py @@ -0,0 +1,174 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for host-side image_describe tool.""" + +from unittest.mock import AsyncMock +from unittest.mock import MagicMock + +import pytest + +from nat_sandbox_agent.tools.host.image_describe import ImageDescribeTool +from nat_sandbox_agent.tools.host.image_describe import create_image_describe_tool + + +@pytest.fixture +def mock_vision_llm(): + """Create a mock vision LLM.""" + llm = MagicMock() + response = MagicMock() + response.content = "A red circle on a white background." + llm.ainvoke = AsyncMock(return_value=response) + return llm + + +@pytest.fixture +def image_tool(mock_sandbox, mock_vision_llm): + """Create an ImageDescribeTool with mocked dependencies.""" + return ImageDescribeTool(sandbox=mock_sandbox, vision_llm=mock_vision_llm) + + +class TestImageDescribeTool: + """Tests for ImageDescribeTool.""" + + @pytest.mark.asyncio + async def test_describe_success(self, image_tool, mock_sandbox, mock_vision_llm): + """Test successful image description.""" + mock_sandbox.read_file_bytes = AsyncMock(return_value=b"\x89PNG\r\n\x1a\n fake image data") + + result = await image_tool.describe("/workspace/input/test.png", "What is in this image?") + + assert result["status"] == "success" + assert result["description"] == "A red circle on a white background." + assert result["image_path"] == "/workspace/input/test.png" + + # Verify sandbox was called to read the file + mock_sandbox.read_file_bytes.assert_called_once_with("/workspace/input/test.png") + + # Verify vision LLM was called + mock_vision_llm.ainvoke.assert_called_once() + call_args = mock_vision_llm.ainvoke.call_args[0][0] + assert len(call_args) == 1 # Single HumanMessage + message = call_args[0] + assert len(message.content) == 2 # text + image_url + assert message.content[0]["type"] == "text" + assert message.content[0]["text"] == "What is in this image?" + assert message.content[1]["type"] == "image_url" + assert message.content[1]["image_url"]["url"].startswith("data:image/png;base64,") + + @pytest.mark.asyncio + async def test_describe_default_question(self, image_tool, mock_sandbox): + """Test that default question is used when none provided.""" + mock_sandbox.read_file_bytes = AsyncMock(return_value=b"fake image data") + + result = await image_tool.describe("/workspace/input/photo.jpg") + + assert result["status"] == "success" + + @pytest.mark.asyncio + async def test_describe_jpeg_mime_type(self, image_tool, mock_sandbox, mock_vision_llm): + """Test that JPEG files use correct MIME type.""" + mock_sandbox.read_file_bytes = AsyncMock(return_value=b"fake jpeg data") + + await image_tool.describe("/workspace/input/photo.jpg") + + call_args = mock_vision_llm.ainvoke.call_args[0][0] + image_url = call_args[0].content[1]["image_url"]["url"] + assert image_url.startswith("data:image/jpeg;base64,") + + @pytest.mark.asyncio + async def test_describe_unsupported_extension(self, image_tool): + """Test that unsupported file extensions return error.""" + result = await image_tool.describe("/workspace/input/document.pdf") + + assert result["status"] == "error" + assert "Unsupported image format" in result["error"] + assert "'.pdf'" in result["error"] + assert result["image_path"] == "/workspace/input/document.pdf" + + @pytest.mark.asyncio + async def test_describe_xlsx_unsupported(self, image_tool): + """Test that .xlsx extension returns error.""" + result = await image_tool.describe("/workspace/input/data.xlsx") + + assert result["status"] == "error" + assert "Unsupported image format" in result["error"] + + @pytest.mark.asyncio + async def test_describe_file_not_found(self, image_tool, mock_sandbox): + """Test handling when image file does not exist.""" + mock_sandbox.read_file_bytes = AsyncMock(side_effect=FileNotFoundError("File not found: /workspace/input/missing.png")) + + result = await image_tool.describe("/workspace/input/missing.png") + + assert result["status"] == "error" + assert "not found" in result["error"].lower() + assert result["image_path"] == "/workspace/input/missing.png" + + @pytest.mark.asyncio + async def test_describe_sandbox_read_error(self, image_tool, mock_sandbox): + """Test handling when sandbox read fails.""" + mock_sandbox.read_file_bytes = AsyncMock(side_effect=RuntimeError("Sandbox not started")) + + result = await image_tool.describe("/workspace/input/test.png") + + assert result["status"] == "error" + assert "Failed to read image file" in result["error"] + + @pytest.mark.asyncio + async def test_describe_vision_llm_error(self, image_tool, mock_sandbox, mock_vision_llm): + """Test handling when vision LLM call fails.""" + mock_sandbox.read_file_bytes = AsyncMock(return_value=b"fake image data") + mock_vision_llm.ainvoke = AsyncMock(side_effect=Exception("API rate limit exceeded")) + + result = await image_tool.describe("/workspace/input/test.png") + + assert result["status"] == "error" + assert "Vision model error" in result["error"] + assert "rate limit" in result["error"].lower() + + @pytest.mark.asyncio + async def test_describe_all_supported_extensions(self, image_tool, mock_sandbox): + """Test that all documented extensions are supported.""" + mock_sandbox.read_file_bytes = AsyncMock(return_value=b"fake image data") + + supported = [".png", ".jpg", ".jpeg", ".gif", ".webp", ".bmp", ".tiff"] + for ext in supported: + result = await image_tool.describe(f"/workspace/input/test{ext}") + assert result["status"] == "success", f"Extension {ext} should be supported" + + +class TestCreateImageDescribeTool: + """Tests for create_image_describe_tool factory function.""" + + def test_creates_structured_tool(self, mock_sandbox, mock_vision_llm): + """Test that function creates a StructuredTool.""" + tool = create_image_describe_tool(mock_sandbox, mock_vision_llm) + + assert tool.name == "image_describe" + assert "vision" in tool.description.lower() + + def test_tool_has_correct_schema(self, mock_sandbox, mock_vision_llm): + """Test that tool has correct input schema.""" + tool = create_image_describe_tool(mock_sandbox, mock_vision_llm) + + schema = tool.args_schema.model_json_schema() + assert "image_path" in schema["properties"] + assert "question" in schema["properties"] + + def test_tool_is_async(self, mock_sandbox, mock_vision_llm): + """Test that tool has an async coroutine.""" + tool = create_image_describe_tool(mock_sandbox, mock_vision_llm) + + assert tool.coroutine is not None diff --git a/examples/sandbox_agent/tests/test_tools_sandbox.py b/examples/sandbox_agent/tests/test_tools_sandbox.py new file mode 100644 index 0000000..175e0ac --- /dev/null +++ b/examples/sandbox_agent/tests/test_tools_sandbox.py @@ -0,0 +1,422 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for sandbox-side tools (shell, python, file_read, file_write, web_browse).""" + +from unittest.mock import AsyncMock + +import pytest + +from nat_sandbox_agent.sandbox.base import CommandResult +from nat_sandbox_agent.tools.sandbox import SandboxToolExecutor +from nat_sandbox_agent.tools.sandbox.execution import create_python_tool +from nat_sandbox_agent.tools.sandbox.execution import create_shell_tool +from nat_sandbox_agent.tools.sandbox.execution import execute_python +from nat_sandbox_agent.tools.sandbox.execution import execute_shell +from nat_sandbox_agent.tools.sandbox.file_ops import create_file_read_tool +from nat_sandbox_agent.tools.sandbox.file_ops import create_file_write_tool +from nat_sandbox_agent.tools.sandbox.file_ops import read_file +from nat_sandbox_agent.tools.sandbox.file_ops import write_file + + +class TestSandboxToolExecutor: + """Tests for SandboxToolExecutor.""" + + def test_init_with_defaults(self, mock_sandbox): + """Test executor initialization with default values.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + assert executor.sandbox is mock_sandbox + assert executor.max_output_chars == 16000 + assert executor.default_timeout == 120 + + def test_init_with_custom_values(self, mock_sandbox): + """Test executor initialization with custom values.""" + executor = SandboxToolExecutor( + sandbox=mock_sandbox, + max_output_chars=5000, + default_timeout=60, + ) + + assert executor.max_output_chars == 5000 + assert executor.default_timeout == 60 + + def test_truncate_short_text(self, mock_sandbox): + """Test that short text is not truncated.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox, max_output_chars=100) + + result = executor.truncate("Short text") + + assert result == "Short text" + + def test_truncate_long_text(self, mock_sandbox): + """Test that long text is truncated with indicator.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox, max_output_chars=20) + + long_text = "A" * 100 + result = executor.truncate(long_text) + + assert len(result) < 100 + assert "truncated" in result + assert "100 total chars" in result + + @pytest.mark.asyncio + async def test_list_generated_files_success(self, mock_sandbox): + """Test listing generated files using shell command.""" + mock_sandbox.run_command = AsyncMock( + return_value=CommandResult(exit_code=0, stdout="output.txt\ndata.json\n", stderr="")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + files = await executor.list_generated_files() + + assert files == ["/workspace/output/output.txt", "/workspace/output/data.json"] + mock_sandbox.run_command.assert_called_once_with("ls -1 /workspace/output", timeout=120) + + @pytest.mark.asyncio + async def test_list_generated_files_handles_exception(self, mock_sandbox): + """Test that list_generated_files handles exceptions gracefully.""" + mock_sandbox.run_command = AsyncMock(side_effect=Exception("Directory not found")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + files = await executor.list_generated_files() + + assert files == [] + + @pytest.mark.asyncio + async def test_list_generated_files_empty_on_error(self, mock_sandbox): + """Test that list_generated_files returns empty list on command failure.""" + mock_sandbox.run_command = AsyncMock( + return_value=CommandResult(exit_code=1, stdout="", stderr="ls: cannot access")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + files = await executor.list_generated_files() + + assert files == [] + + +class TestShellTool: + """Tests for shell command execution tool.""" + + @pytest.mark.asyncio + async def test_execute_shell_success(self, mock_sandbox): + """Test successful shell command execution.""" + mock_sandbox.run_command = AsyncMock( + return_value=CommandResult(exit_code=0, stdout="file1.txt\nfile2.py", stderr="")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await execute_shell(executor, "ls -la", "/workspace") + + assert result["status"] == "success" + assert "file1.txt" in result["stdout"] + assert result["exit_code"] == 0 + + @pytest.mark.asyncio + async def test_execute_shell_failure(self, mock_sandbox): + """Test shell command failure.""" + mock_sandbox.run_command = AsyncMock( + return_value=CommandResult(exit_code=1, stdout="", stderr="Command not found")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await execute_shell(executor, "invalid_command") + + assert result["status"] == "error" + assert result["exit_code"] == 1 + assert "Command not found" in result["stderr"] + + @pytest.mark.asyncio + async def test_execute_shell_respects_working_dir(self, mock_sandbox): + """Test that working directory is passed correctly.""" + mock_sandbox.run_command = AsyncMock(return_value=CommandResult(exit_code=0, stdout="", stderr="")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + await execute_shell(executor, "pwd", working_dir="/custom/dir") + + mock_sandbox.run_command.assert_called_once() + call_kwargs = mock_sandbox.run_command.call_args[1] + assert call_kwargs["working_dir"] == "/custom/dir" + + @pytest.mark.asyncio + async def test_execute_shell_truncates_output(self, mock_sandbox): + """Test that long output is truncated.""" + long_output = "X" * 20000 + mock_sandbox.run_command = AsyncMock(return_value=CommandResult(exit_code=0, stdout=long_output, stderr="")) + executor = SandboxToolExecutor(sandbox=mock_sandbox, max_output_chars=100) + + result = await execute_shell(executor, "cat bigfile.txt") + + assert len(result["stdout"]) < 20000 + assert "truncated" in result["stdout"] + + def test_create_shell_tool_returns_structured_tool(self, mock_sandbox): + """Test that create_shell_tool creates a StructuredTool.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + tool = create_shell_tool(executor) + + assert tool.name == "shell" + assert "bash" in tool.description.lower() or "shell" in tool.description.lower() + + +class TestPythonTool: + """Tests for Python code execution tool.""" + + @pytest.mark.asyncio + async def test_execute_python_success(self, mock_sandbox): + """Test successful Python code execution.""" + mock_sandbox.write_file = AsyncMock() + # First call is for listing files, second is for running the script + mock_sandbox.run_command = AsyncMock(side_effect=[ + CommandResult(exit_code=0, stdout="42", stderr=""), # python execution + CommandResult(exit_code=0, stdout="result.txt\n", stderr=""), # ls for generated files + ]) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await execute_python(executor, "print(6 * 7)") + + assert result["status"] == "success" + assert "42" in result["stdout"] + assert "generated_files" in result + + @pytest.mark.asyncio + async def test_execute_python_writes_script(self, mock_sandbox): + """Test that Python code is written to script file.""" + mock_sandbox.write_file = AsyncMock() + mock_sandbox.run_command = AsyncMock(side_effect=[ + CommandResult(exit_code=0, stdout="", stderr=""), # python execution + CommandResult(exit_code=0, stdout="", stderr=""), # ls for generated files + ]) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + code = "print('hello')" + await execute_python(executor, code) + + mock_sandbox.write_file.assert_called_once() + call_args = mock_sandbox.write_file.call_args + assert call_args[0][0] == "/workspace/temp/_script.py" + assert call_args[0][1] == code + + @pytest.mark.asyncio + async def test_execute_python_error(self, mock_sandbox): + """Test Python execution with error.""" + mock_sandbox.write_file = AsyncMock() + mock_sandbox.run_command = AsyncMock(side_effect=[ + CommandResult( + exit_code=1, + stdout="", + stderr="NameError: name 'undefined_var' is not defined", + ), # python execution error + CommandResult(exit_code=0, stdout="", stderr=""), # ls for generated files + ]) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await execute_python(executor, "print(undefined_var)") + + assert result["status"] == "error" + assert "NameError" in result["stderr"] + + def test_create_python_tool_returns_structured_tool(self, mock_sandbox): + """Test that create_python_tool creates a StructuredTool.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + tool = create_python_tool(executor) + + assert tool.name == "python" + assert "python" in tool.description.lower() + + +class TestFileReadTool: + """Tests for file read tool.""" + + @pytest.mark.asyncio + async def test_read_file_success(self, mock_sandbox): + """Test successful file read.""" + mock_sandbox.read_file = AsyncMock(return_value="File content here") + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await read_file(executor, "/workspace/test.txt") + + assert result["status"] == "success" + assert result["content"] == "File content here" + assert result["path"] == "/workspace/test.txt" + + @pytest.mark.asyncio + async def test_read_file_not_found(self, mock_sandbox): + """Test file not found error.""" + mock_sandbox.read_file = AsyncMock(side_effect=FileNotFoundError("No such file")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await read_file(executor, "/workspace/nonexistent.txt") + + assert result["status"] == "error" + assert "not found" in result["error"].lower() + + @pytest.mark.asyncio + async def test_read_file_other_error(self, mock_sandbox): + """Test handling of other errors.""" + mock_sandbox.read_file = AsyncMock(side_effect=PermissionError("Access denied")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await read_file(executor, "/workspace/protected.txt") + + assert result["status"] == "error" + assert "Access denied" in result["error"] + + @pytest.mark.asyncio + async def test_read_file_truncates_long_content(self, mock_sandbox): + """Test that long file content is truncated.""" + long_content = "X" * 20000 + mock_sandbox.read_file = AsyncMock(return_value=long_content) + executor = SandboxToolExecutor(sandbox=mock_sandbox, max_output_chars=100) + + result = await read_file(executor, "/workspace/bigfile.txt") + + assert result["status"] == "success" + assert len(result["content"]) < 20000 + assert "truncated" in result["content"] + + @pytest.mark.asyncio + async def test_read_file_path_traversal_blocked(self, mock_sandbox): + """Test that path traversal attempts are blocked.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await read_file(executor, "/etc/passwd") + + assert result["status"] == "error" + assert "outside allowed directories" in result["error"] + + def test_create_file_read_tool_returns_structured_tool(self, mock_sandbox): + """Test that create_file_read_tool creates a StructuredTool.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + tool = create_file_read_tool(executor) + + assert tool.name == "file_read" + assert "read" in tool.description.lower() + + +class TestFileWriteTool: + """Tests for file write tool.""" + + @pytest.mark.asyncio + async def test_write_file_success(self, mock_sandbox): + """Test successful file write.""" + mock_sandbox.write_file = AsyncMock() + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await write_file(executor, "/workspace/output.txt", "Hello World") + + assert result["status"] == "success" + assert result["path"] == "/workspace/output.txt" + assert result["size"] == 11 + + mock_sandbox.write_file.assert_called_once_with("/workspace/output.txt", "Hello World") + + @pytest.mark.asyncio + async def test_write_file_error(self, mock_sandbox): + """Test file write error handling.""" + mock_sandbox.write_file = AsyncMock(side_effect=PermissionError("Cannot write to directory")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await write_file(executor, "/workspace/readonly/file.txt", "content") + + assert result["status"] == "error" + assert "Cannot write" in result["error"] + + @pytest.mark.asyncio + async def test_write_file_path_traversal_blocked(self, mock_sandbox): + """Test that path traversal attempts are blocked.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + result = await write_file(executor, "/etc/passwd", "content") + + assert result["status"] == "error" + assert "outside allowed directories" in result["error"] + + def test_create_file_write_tool_returns_structured_tool(self, mock_sandbox): + """Test that create_file_write_tool creates a StructuredTool.""" + executor = SandboxToolExecutor(sandbox=mock_sandbox) + tool = create_file_write_tool(executor) + + assert tool.name == "file_write" + assert "write" in tool.description.lower() + + +class TestWebBrowseTool: + """Tests for web browse tool.""" + + @pytest.mark.asyncio + async def test_web_browse_success(self, mock_sandbox): + """Test successful web browse.""" + import json + + mock_result = json.dumps({ + "status": "success", + "url": "https://example.com", + "title": "Example Domain", + "content": "This is example content.", + }) + mock_sandbox.write_file = AsyncMock() + mock_sandbox.run_command = AsyncMock(return_value=CommandResult(exit_code=0, stdout=mock_result, stderr="")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + from nat_sandbox_agent.tools.sandbox.browser import web_browse + + result = await web_browse(executor, "https://example.com") + + assert result["status"] == "success" + assert result["title"] == "Example Domain" + assert "example content" in result["content"] + # Verify script was written + mock_sandbox.write_file.assert_called_once() + + @pytest.mark.asyncio + async def test_web_browse_with_selector(self, mock_sandbox): + """Test web browse with CSS selector.""" + import json + + mock_result = json.dumps({ + "status": "success", + "url": "https://example.com", + "title": "Example", + "content": "Selected content only", + }) + mock_sandbox.write_file = AsyncMock() + mock_sandbox.run_command = AsyncMock(return_value=CommandResult(exit_code=0, stdout=mock_result, stderr="")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + from nat_sandbox_agent.tools.sandbox.browser import web_browse + + result = await web_browse(executor, "https://example.com", selector="article") + + assert result["status"] == "success" + + @pytest.mark.asyncio + async def test_web_browse_error(self, mock_sandbox): + """Test web browse error handling.""" + mock_sandbox.write_file = AsyncMock() + mock_sandbox.run_command = AsyncMock(return_value=CommandResult(exit_code=1, stdout="", stderr="Network error")) + executor = SandboxToolExecutor(sandbox=mock_sandbox) + + from nat_sandbox_agent.tools.sandbox.browser import web_browse + + result = await web_browse(executor, "https://invalid-url.test") + + assert result["status"] == "error" + + def test_create_web_browse_tool_returns_structured_tool(self, mock_sandbox): + """Test that create_web_browse_tool creates a StructuredTool.""" + from nat_sandbox_agent.tools.sandbox.browser import create_web_browse_tool + + executor = SandboxToolExecutor(sandbox=mock_sandbox) + tool = create_web_browse_tool(executor) + + assert tool.name == "web_browse" + assert "browse" in tool.description.lower() or "web" in tool.description.lower() diff --git a/examples/sandbox_agent/tests/test_utils.py b/examples/sandbox_agent/tests/test_utils.py new file mode 100644 index 0000000..2680f58 --- /dev/null +++ b/examples/sandbox_agent/tests/test_utils.py @@ -0,0 +1,105 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for utility functions.""" + +from unittest.mock import AsyncMock +from unittest.mock import MagicMock + +import pytest + +from nat_sandbox_agent.utils.answer_cleaning import clean_answer_with_llm + + +class TestCleanAnswerWithLLM: + """Tests for the async LLM-based answer cleaning function.""" + + @pytest.mark.asyncio + async def test_empty_input(self): + """Test that empty/None input is returned as-is without calling LLM.""" + llm = AsyncMock() + assert await clean_answer_with_llm(llm, "question", "") == "" + assert await clean_answer_with_llm(llm, "question", None) is None + llm.ainvoke.assert_not_called() + + @pytest.mark.asyncio + async def test_short_number_skips_llm(self): + """Test that short numeric answers skip the LLM call.""" + llm = AsyncMock() + assert await clean_answer_with_llm(llm, "How many?", "42") == "42" + assert await clean_answer_with_llm(llm, "How many?", "-5") == "-5" + assert await clean_answer_with_llm(llm, "What is pi?", "3.1") == "3.1" + llm.ainvoke.assert_not_called() + + @pytest.mark.asyncio + async def test_llm_called_with_question_and_answer(self): + """Test that LLM is called with both question and raw answer.""" + mock_result = MagicMock() + mock_result.content = "Paris" + llm = AsyncMock() + llm.ainvoke.return_value = mock_result + + result = await clean_answer_with_llm(llm, "What is the capital of France?", "The answer is Paris") + assert result == "Paris" + + # Verify LLM was called with the right messages + call_args = llm.ainvoke.call_args[0][0] + assert len(call_args) == 2 + assert "QUESTION:" in call_args[1].content + assert "capital of France" in call_args[1].content + assert "RAW ANSWER:" in call_args[1].content + assert "The answer is Paris" in call_args[1].content + + @pytest.mark.asyncio + async def test_fallback_on_llm_failure(self): + """Test that raw answer is returned when LLM call fails.""" + llm = AsyncMock() + llm.ainvoke.side_effect = RuntimeError("API error") + + result = await clean_answer_with_llm(llm, "question", " The answer is 42 ") + assert result == "The answer is 42" + + @pytest.mark.asyncio + async def test_fallback_on_empty_llm_response(self): + """Test that raw answer is returned when LLM returns empty.""" + mock_result = MagicMock() + mock_result.content = "" + llm = AsyncMock() + llm.ainvoke.return_value = mock_result + + result = await clean_answer_with_llm(llm, "question", "The answer is 42") + assert result == "The answer is 42" + + @pytest.mark.asyncio + async def test_fallback_on_overlong_llm_response(self): + """Test that raw answer is returned when LLM output is suspiciously long.""" + mock_result = MagicMock() + mock_result.content = "A" * 500 # Much longer than raw answer + llm = AsyncMock() + llm.ainvoke.return_value = mock_result + + result = await clean_answer_with_llm(llm, "question", "42") + assert result == "42" + + @pytest.mark.asyncio + async def test_preserves_formula(self): + """Test that LLM-cleaned formulas are preserved.""" + formula = "(¬A → B) ↔ (A ∨ ¬B)" + mock_result = MagicMock() + mock_result.content = formula + llm = AsyncMock() + llm.ainvoke.return_value = mock_result + + result = await clean_answer_with_llm(llm, "What is the full logical equivalence?", f"The formula is {formula}") + assert result == formula diff --git a/examples/sandbox_agent/uv.lock b/examples/sandbox_agent/uv.lock new 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