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agent_observability.py
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60 lines (48 loc) · 2.14 KB
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# 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.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())