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https://github.com/microsoft/agent-framework.git
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Dmytro Struk
57da1bcfeb
* Updated declarative kind mapping * Fixed required property handling * Updated inline yaml sample * Fixed remaining declarative samples * Added lazy initialization for PowerFx engine * Small fix
44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from pathlib import Path
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from random import randint
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from typing import Literal
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from agent_framework.azure import AzureOpenAIResponsesClient
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from agent_framework.declarative import AgentFactory
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from azure.identity import AzureCliCredential
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from dotenv import load_dotenv
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load_dotenv()
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def get_weather(location: str, unit: Literal["celsius", "fahrenheit"] = "celsius") -> str:
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"""A simple function tool to get weather information."""
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return f"The weather in {location} is {randint(-10, 30) if unit == 'celsius' else randint(30, 100)} degrees {unit}."
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async def main():
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"""Create an agent from a declarative yaml specification and run it."""
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# get the path
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current_path = Path(__file__).parent
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yaml_path = current_path.parent.parent.parent.parent / "agent-samples" / "chatclient" / "GetWeather.yaml"
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# load the yaml from the path
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with yaml_path.open("r") as f:
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yaml_str = f.read()
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# create the AgentFactory with a chat client and bindings
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agent_factory = AgentFactory(
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client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
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bindings={"get_weather": get_weather},
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)
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# create the agent from the yaml
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agent = agent_factory.create_agent_from_yaml(yaml_str)
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# use the agent
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response = await agent.run("What's the weather in Amsterdam, in celsius?")
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print("Agent response:", response.text)
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if __name__ == "__main__":
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asyncio.run(main())
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