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# Copyright (c) Microsoft. All rights reserved.
import asyncio
import os
from random import randint
from typing import Annotated
from agent_framework import Agent, tool
from agent_framework.openai import OpenAIChatClient
from dotenv import load_dotenv
from pydantic import Field
# Load environment variables from .env file
load_dotenv()
"""
OpenAI Chat Client with Explicit Settings Example
This sample demonstrates creating OpenAI Chat Client with explicit configuration
settings rather than relying on environment variable defaults.
"""
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production;
# see samples/02-agents/tools/function_tool_with_approval.py
# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
@tool(approval_mode="never_require")
def get_weather(
location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
async def main() -> None:
print("=== OpenAI Chat Client with Explicit Settings ===")
_client = OpenAIChatClient(
model=os.environ["OPENAI_MODEL"],
api_key=os.environ["OPENAI_API_KEY"],
)
agent = Agent(
client=_client,
instructions="You are a helpful weather agent.",
tools=get_weather,
)
result = await agent.run("What's the weather like in New York?")
print(f"Result: {result}\n")
if __name__ == "__main__":
asyncio.run(main())