mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Eduard van Valkenburg
a7d924a7d2
* changed AIFunction to FunctionTool and @ai_function to @tool * test and mypy fixes * mypy fix * switch function tool to always_require * fix noop * fix github copilot imports * test fixes * fix ollama test * fixes for tests * fix tests * reverted change to always_require and extended timeout * fix test
82 lines
2.9 KiB
Python
82 lines
2.9 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Foundry-based weather agent for Agent Framework Debug UI.
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This agent uses Azure AI Foundry with Azure CLI authentication.
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Make sure to run 'az login' before starting devui.
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"""
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import os
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from typing import Annotated
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from agent_framework import ChatAgent
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from agent_framework import tool
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from agent_framework.azure import AzureAIAgentClient
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from azure.identity.aio import AzureCliCredential
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from pydantic import Field
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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
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@tool(approval_mode="never_require")
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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temperature = 22
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return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
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@tool(approval_mode="never_require")
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def get_forecast(
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location: Annotated[str, Field(description="The location to get the forecast for.")],
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days: Annotated[int, Field(description="Number of days for forecast")] = 3,
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) -> str:
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"""Get weather forecast for multiple days."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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forecast: list[str] = []
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for day in range(1, days + 1):
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condition = conditions[day % len(conditions)]
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temp = 18 + day
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forecast.append(f"Day {day}: {condition}, {temp}°C")
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return f"Weather forecast for {location}:\n" + "\n".join(forecast)
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# Agent instance following Agent Framework conventions
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agent = ChatAgent(
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name="FoundryWeatherAgent",
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chat_client=AzureAIAgentClient(
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project_endpoint=os.environ.get("AZURE_AI_PROJECT_ENDPOINT"),
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model_deployment_name=os.environ.get("FOUNDRY_MODEL_DEPLOYMENT_NAME"),
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credential=AzureCliCredential(),
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),
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instructions="""
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You are a weather assistant using Azure AI Foundry models. You can provide
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current weather information and forecasts for any location. Always be helpful
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and provide detailed weather information when asked.
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""",
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tools=[get_weather, get_forecast],
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)
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def main():
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"""Launch the Foundry weather agent in DevUI."""
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import logging
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from agent_framework.devui import serve
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# Setup logging
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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logger = logging.getLogger(__name__)
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logger.info("Starting Foundry Weather Agent")
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logger.info("Available at: http://localhost:8090")
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logger.info("Entity ID: agent_FoundryWeatherAgent")
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logger.info("Note: Make sure 'az login' has been run for authentication")
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# Launch server with the agent
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serve(entities=[agent], port=8090, auto_open=True)
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if __name__ == "__main__":
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main()
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