LangGraph Agent + OpenSandbox Example

Integrate LangGraph with OpenSandbox using a graph-driven control flow. The example uses explicit state machine nodes to create, prepare, run, inspect, and clean up a sandbox, plus a decision node to retry with a fallback command if the run step fails.

Start OpenSandbox server [local]

Pre-pull the code-interpreter image (includes Python):

docker pull sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.0.1

# use docker hub
# docker pull opensandbox/code-interpreter:v1.0.1

Start the local OpenSandbox server, logs will be visible in the terminal:

uv pip install opensandbox-server
opensandbox-server init-config ~/.sandbox.toml --example docker
opensandbox-server

Run the example

# Install OpenSandbox + LangGraph deps
uv pip install opensandbox langgraph langchain-anthropic

# Run the example (requires SANDBOX_DOMAIN / SANDBOX_API_KEY / ANTHROPIC_API_KEY)
uv run python examples/langgraph/main.py

The workflow writes files, executes a job, retries with a fallback command on failure (default python vs python3), then summarizes results with Claude and cleans up the sandbox instance.

Environment Variables

• SANDBOX_DOMAIN: Sandbox service address (default: localhost:8080)
• SANDBOX_API_KEY: API key if your server requires authentication (optional for local)
• SANDBOX_IMAGE: Sandbox image to use (default: sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/code-interpreter:v1.0.1)
• ANTHROPIC_API_KEY: Your Anthropic API key (required if ANTHROPIC_AUTH_TOKEN is unset)
• ANTHROPIC_AUTH_TOKEN: Alternate Anthropic auth token (uses Authorization header)
• ANTHROPIC_API_KEY and ANTHROPIC_AUTH_TOKEN should not be set together
• ANTHROPIC_BASE_URL: Anthropic API endpoint override (optional)
• ANTHROPIC_MODEL: Model to use (default: claude-3-5-sonnet-latest)

References

• LangGraph - Agent workflow framework

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此页内容来自仓库源文件：examples/langgraph/README.md