Ren Finlayson
539852f81c
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61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from random import randint
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from typing import Annotated
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from agent_framework import ChatAgent
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from agent_framework.observability import configure_otel_providers, get_tracer
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from agent_framework.openai import OpenAIChatClient
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from opentelemetry.trace import SpanKind
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from opentelemetry.trace.span import format_trace_id
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from pydantic import Field
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"""
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This sample shows how you can observe an agent in Agent Framework by using the
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same observability setup function.
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"""
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async 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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await asyncio.sleep(randint(0, 10) / 10.0) # Simulate a network call
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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async def main():
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# calling `configure_otel_providers` will *enable* tracing and create the necessary tracing, logging
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# and metrics providers based on environment variables.
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# See the .env.example file for the available configuration options.
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configure_otel_providers()
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questions = ["What's the weather in Amsterdam?", "and in Paris, and which is better?", "Why is the sky blue?"]
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with get_tracer().start_as_current_span("Scenario: Agent Chat", kind=SpanKind.CLIENT) as current_span:
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print(f"Trace ID: {format_trace_id(current_span.get_span_context().trace_id)}")
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agent = ChatAgent(
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chat_client=OpenAIChatClient(),
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tools=get_weather,
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name="WeatherAgent",
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instructions="You are a weather assistant.",
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id="weather-agent",
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)
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thread = agent.get_new_thread()
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for question in questions:
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print(f"\nUser: {question}")
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print(f"{agent.name}: ", end="")
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async for update in agent.run_stream(
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question,
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thread=thread,
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):
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if update.text:
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print(update.text, end="")
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if __name__ == "__main__":
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asyncio.run(main())
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