Microsoft Agent Framework

pip install arize-otel \
  openinference-instrumentation-agent-framework \
  "agent-framework==1.0.0b260130" openai

export ARIZE_SPACE_ID="<your-space-id>"
export ARIZE_API_KEY="<your-api-key>"
export ARIZE_PROJECT_NAME="microsoft-agent-framework-tracing-example"
export OPENAI_API_KEY="<your-openai-api-key>"

# instrumentation.py
import os

from agent_framework.observability import enable_instrumentation
from arize.otel import (
    BatchSpanProcessor,
    PROJECT_NAME,
    Resource,
)
from openinference.instrumentation.agent_framework import (
    AgentFrameworkToOpenInferenceProcessor,
)
from opentelemetry import trace as otel_trace
from opentelemetry.sdk.trace import TracerProvider

# Microsoft Agent Framework emits raw OpenTelemetry spans (GenAI semantic
# conventions). The reshape processor must run before the OTLP exporter,
# so build the TracerProvider manually rather than using arize.otel.register().
resource = Resource.create({
    PROJECT_NAME: os.environ["ARIZE_PROJECT_NAME"],
})
tracer_provider = TracerProvider(resource=resource)

# Reshape raw Agent Framework spans into the OpenInference format.
tracer_provider.add_span_processor(
    AgentFrameworkToOpenInferenceProcessor()
)
# Then export the reshaped spans to Arize AX.
tracer_provider.add_span_processor(
    BatchSpanProcessor(
        space_id=os.environ["ARIZE_SPACE_ID"],
        api_key=os.environ["ARIZE_API_KEY"],
    )
)

otel_trace.set_tracer_provider(tracer_provider)

# enable_sensitive_data=True captures message content in spans. Required for
# full observability; only enable when you trust the trace destination.
enable_instrumentation(enable_sensitive_data=True)
print("Arize AX tracing initialized for Microsoft Agent Framework.")

# example.py

# Importing instrumentation first ensures tracing is set up
# before `agent_framework` is imported.
from instrumentation import tracer_provider

import asyncio

from agent_framework import ChatAgent
from agent_framework.openai import OpenAIChatClient


async def main() -> None:
    # OpenAIChatClient reads OPENAI_API_KEY from the environment.
    agent = ChatAgent(
        chat_client=OpenAIChatClient(model_id="gpt-5"),
        instructions="You are a concise factual assistant.",
    )
    response = await agent.run(
        "Why is the ocean salty? Answer in two sentences."
    )
    print(response.text)


asyncio.run(main())