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41be258076
Spotted while fixing the provider-dependency failures in #4221. ## Problem `python/examples/tool_router/tool_router_mcp.py` guarded a missing credential like this: ```python api_key = os.environ.get("COMPOSIO_API_KEY") if not api_key: print("Error: COMPOSIO_API_KEY environment variable not set") print("Please set it using: export COMPOSIO_API_KEY='your_api_key'") return ``` `return` exits the coroutine normally, so `asyncio.run(main())` completes and the process exits **0**. The live-examples harness scores entries by exit code, so a run that did nothing at all was recorded **green** — the worst kind of failure for a canary, since it reports success while testing nothing. ## Fix Raise instead, using the `require_env` helper the sibling examples already use (`examples/tool_router/preload.py`): ```python def require_env(name: str) -> str: value = os.environ.get(name) if not value: raise RuntimeError(f"Set {name} before running this example.") return value ``` ## Verification Replaying the harness's own invocation with the variable unset: ``` $ unset COMPOSIO_API_KEY $ uv run --project python --with 'openai-agents>=0.19' \ --with ./python/providers/openai_agents --with ./python \ python python/examples/tool_router/tool_router_mcp.py before: exit=0 # silently "passes" after: exit=1 # RuntimeError: Set COMPOSIO_API_KEY before running this example. ``` `ruff check`, `ruff format --check`, and `nox -s chk_examples` all pass. ## Scope I checked whether other examples share the pattern. `examples/tool_router/authorize.py` prints the same message, but calls `exit(1)` at module level rather than returning from a coroutine, so it already fails correctly — left alone. This was the only instance.
79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
"""
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Tool Router - MCP (Model Context Protocol) Example with OpenAI Agents
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This example demonstrates how to use Tool Router with MCP servers and OpenAI Agents provider.
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The MCP server provides a standardized way to access tools across different platforms,
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and OpenAI Agents provider allows you to use these tools with OpenAI's agent framework.
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"""
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import asyncio
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import os
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from agents import Agent, HostedMCPTool, Runner
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from composio_openai_agents import OpenAIAgentsProvider
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from composio import Composio
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def require_env(name: str) -> str:
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value = os.environ.get(name)
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if not value:
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raise RuntimeError(f"Set {name} before running this example.")
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return value
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async def main():
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# Initialize Composio with OpenAI Agents provider
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composio = Composio(
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api_key=require_env("COMPOSIO_API_KEY"), provider=OpenAIAgentsProvider()
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)
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# Create a tool router session
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session = composio.create(
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# A user with connected GitHub and Gmail accounts (raises KeyError when unset)
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user_id=os.environ["COMPOSIO_EXAMPLES_USER_ID"],
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toolkits=["github", "gmail"],
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# mcp=True surfaces session.mcp on the returned type
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mcp=True,
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)
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mcpTool = HostedMCPTool(
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tool_config={
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"type": "mcp",
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"server_label": "tool_router",
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"server_url": session.mcp.url,
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"require_approval": "never",
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"headers": session.mcp.headers, # type: ignore[typeddict-item] # headers is typed Dict[str, Optional[str]]; the SDK always populates it with str values
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}
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)
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print(f"Session created: {session.session_id}")
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print(f"MCP Server URL: {session.mcp.url}")
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print(f"MCP Server Type: {session.mcp.type}")
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# Create an agent with the tools from tool router
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agent = Agent(
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name="MCP Tool Router Agent",
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instructions=(
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"You are a helpful assistant that can use GitHub and Gmail tools "
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"through the MCP (Model Context Protocol) server. "
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"Help users with their GitHub and email tasks."
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),
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tools=[mcpTool],
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)
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# Run the agent with a sample task
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print("\n--- Running Agent with Tool Router Tools ---")
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result = await Runner.run(
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starting_agent=agent,
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input=(
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"List my recent GitHub repositories and tell me about them. "
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"If successful, respond with a summary of what you found."
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),
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)
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print(f"\nAgent Result: {result.final_output}")
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if __name__ == "__main__":
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asyncio.run(main())
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