Observability for Microsoft Agent Framework (Python) with Opik

pip install --pre agent-framework opentelemetry-api opentelemetry-sdk opentelemetry-exporter-otlp

import asyncio
import os

os.environ["ENABLE_OTEL"] = "True"
os.environ["ENABLE_SENSITIVE_DATA"] = "True"

from agent_framework.openai import OpenAIChatClient
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor


def setup_telemetry():
    """Configure OpenTelemetry with HTTP exporter"""
    # Create a resource with service name and other metadata
    resource = Resource.create(
        {
            "service.name": "agent-framework-demo",
            "service.version": "1.0.0",
            "deployment.environment": "development",
        }
    )

    # Create TracerProvider with the resource
    provider = TracerProvider(resource=resource)

    # Create BatchSpanProcessor with OTLPSpanExporter
    processor = BatchSpanProcessor(OTLPSpanExporter())
    provider.add_span_processor(processor)

    # Set the TracerProvider
    trace.set_tracer_provider(provider)

    tracer = trace.get_tracer(__name__)

    return tracer, provider


setup_telemetry()


async def main():
    # Initialize a chat agent with Azure OpenAI Responses
    agent = OpenAIChatClient(model_id="gpt-4.1").create_agent(
        name="HaikuBot",
        instructions="You are an upbeat assistant that writes beautifully.",
    )

    # This will automatically create a trace in Opik
    result = await agent.run("Write a haiku about Microsoft Agent Framework.")
    print(result)


asyncio.run(main())