# Copyright (c) Microsoft. All rights reserved. import asyncio from random import randint from typing import Annotated from agent_framework import ChatAgent from agent_framework.observability import configure_otel_providers, get_tracer from agent_framework.openai import OpenAIChatClient from opentelemetry.trace import SpanKind from opentelemetry.trace.span import format_trace_id from pydantic import Field """ This sample shows how you can observe an agent in Agent Framework by using the same observability setup function. """ async def get_weather( location: Annotated[str, Field(description="The location to get the weather for.")], ) -> str: """Get the weather for a given location.""" await asyncio.sleep(randint(0, 10) / 10.0) # Simulate a network call 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(): # calling `configure_otel_providers` will *enable* tracing and create the necessary tracing, logging # and metrics providers based on environment variables. # See the .env.example file for the available configuration options. configure_otel_providers() questions = ["What's the weather in Amsterdam?", "and in Paris, and which is better?", "Why is the sky blue?"] with get_tracer().start_as_current_span("Scenario: Agent Chat", kind=SpanKind.CLIENT) as current_span: print(f"Trace ID: {format_trace_id(current_span.get_span_context().trace_id)}") agent = ChatAgent( chat_client=OpenAIChatClient(), tools=get_weather, name="WeatherAgent", instructions="You are a weather assistant.", id="weather-agent", ) thread = agent.get_new_thread() for question in questions: print(f"\nUser: {question}") print(f"{agent.display_name}: ", end="") async for update in agent.run_stream( question, thread=thread, ): if update.text: print(update.text, end="") if __name__ == "__main__": asyncio.run(main())