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Dmytro Struk
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from typing import Annotated
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from agent_framework.openai import OpenAIResponsesClient
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"""
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This sample demonstrates how to configure function invocation settings
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for an client and use a simple ai_function as a tool in an agent.
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This behavior is the same for all chat client types.
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"""
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def add(
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x: Annotated[int, "First number"],
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y: Annotated[int, "Second number"],
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) -> str:
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return f"{x} + {y} = {x + y}"
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async def main():
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client = OpenAIResponsesClient()
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if client.function_invocation_configuration is not None:
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client.function_invocation_configuration.include_detailed_errors = True
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client.function_invocation_configuration.max_iterations = 40
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print(f"Function invocation configured as: \n{client.function_invocation_configuration.to_json(indent=2)}")
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agent = client.as_agent(name="ToolAgent", instructions="Use the provided tools.", tools=add)
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print("=" * 60)
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print("Call add(239847293, 29834)")
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query = "Add 239847293 and 29834"
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response = await agent.run(query)
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print(f"Response: {response.text}")
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"""
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Expected Output:
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============================================================
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Function invocation configured as:
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{
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"type": "function_invocation_configuration",
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"enabled": true,
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"max_iterations": 40,
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"max_consecutive_errors_per_request": 3,
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"terminate_on_unknown_calls": false,
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"additional_tools": [],
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"include_detailed_errors": true
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}
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============================================================
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Call add(239847293, 29834)
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Response: 239,877,127
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"""
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if __name__ == "__main__":
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asyncio.run(main())
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