wehub-resource-sync
92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
"""
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Tool Router - OpenAI Agents Example
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This example demonstrates how to use Tool Router with OpenAI Agents framework.
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OpenAI Agents provides a powerful way to build AI agents that can use tools
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and execute complex workflows.
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"""
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import asyncio
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from agents import Agent, Runner
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from composio_openai_agents import OpenAIAgentsProvider
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from composio import Composio, after_execute, before_execute
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from composio.types import ToolExecuteParams, ToolExecutionResponse
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async def main():
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# Initialize Composio with OpenAI Agents provider
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composio = Composio(provider=OpenAIAgentsProvider())
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# Create a tool router session for a specific user
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# This creates an isolated session with tools for the specified toolkits
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session = composio.create(
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user_id="user_123",
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toolkits=["gmail"],
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)
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# Define logging modifiers to track tool calls
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# Pass empty lists to apply to all tools
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@before_execute(tools=[])
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def log_before_execute(
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tool: str,
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toolkit: str,
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params: ToolExecuteParams,
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) -> ToolExecuteParams:
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"""Log tool execution before it runs."""
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print(f"🔧 Executing tool: {toolkit}.{tool}")
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print(f" Arguments: {params.get('arguments', {})}")
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return params
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@after_execute(tools=[])
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def log_after_execute(
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tool: str,
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toolkit: str,
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response: ToolExecutionResponse,
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) -> ToolExecutionResponse:
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"""Log tool execution after it completes."""
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print(f"✅ Completed tool: {toolkit}.{tool}")
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if "data" in response:
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print(f" Response data: {response['data']}")
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return response
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# Get tools wrapped for OpenAI Agents with logging modifiers
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# These tools are ready to be used with the OpenAI Agents framework
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tools = session.tools(modifiers=[log_before_execute, log_after_execute])
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print(f"\nAvailable tools: {len(tools)}")
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# Create an agent with the tools from the session
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agent = Agent(
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name="Gmail Assistant",
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instructions=(
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"You are a helpful assistant that helps users manage their "
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"Gmail accounts. You can check emails, "
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"send messages, and perform various actions on the Gmail platform."
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),
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tools=tools,
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)
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# Define the task
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task = "Fetch my last email from gmail and summarize it"
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print(f"\nTask: {task}")
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print("\nAgent working...\n")
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# Run the agent
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result = await Runner.run(
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starting_agent=agent,
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input=task,
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)
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# Print the final output
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print("\n" + "=" * 50)
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print("RESULT:")
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print("=" * 50)
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print(result.final_output)
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if __name__ == "__main__":
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asyncio.run(main())
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