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74 lines
2.8 KiB
Python
74 lines
2.8 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 Agent, tool
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from agent_framework.foundry import FoundryChatClient
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from agent_framework.observability import configure_otel_providers, get_tracer
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from azure.identity import AzureCliCredential
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from dotenv import load_dotenv
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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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# Load environment variables from .env file
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load_dotenv()
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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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Pre-requisites:
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- A Foundry project
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- An observability backend to receive traces and metrics (for example, a local or remote
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OpenTelemetry Collector, another OTLP-compatible backend, or console exporters enabled
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via environment variables).
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"""
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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production;
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# See:
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# samples/02-agents/tools/function_tool_with_approval.py
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# samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
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@tool(approval_mode="never_require")
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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(enable_sensitive_data=True)
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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 = Agent(
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client=FoundryChatClient(credential=AzureCliCredential()),
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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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session = agent.create_session()
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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(question, session=session, stream=True):
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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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