# Observability for Microsoft Agent Framework (Python) with Opik [Microsoft Agent Framework](https://github.com/microsoft/agent-framework) is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents and multi-agent workflows with support for both Python and .NET implementations. The framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration, built-in OpenTelemetry integration for distributed tracing and monitoring, and a flexible middleware system for request/response processing. ## Account Setup [Comet](https://www.comet.com/site) provides a hosted version of the Opik platform, [simply create an account](https://www.comet.com/signup) and grab your API Key. > You can also run the Opik platform locally, see the [installation guide](/guides/overview-self-host-overview) for more information. :::frame Microsoft Agent Framework tracing ::: ## Getting started To use the Microsoft Agent Framework integration with Opik, you will need to have the Agent Framework and the required OpenTelemetry packages installed: ```bash pip install --pre agent-framework opentelemetry-api opentelemetry-sdk opentelemetry-exporter-otlp ``` In addition, you will need to set the following environment variables to configure OpenTelemetry to send data to Opik: :::::tabs ::::tab{title="Opik Cloud"} If you are using Opik Cloud, you will need to set the following environment variables: ```bash wordWrap export OTEL_EXPORTER_OTLP_ENDPOINT=https://www.comet.com/opik/api/v1/private/otel export OTEL_EXPORTER_OTLP_HEADERS='Authorization=,Comet-Workspace=default' ``` :::callout{intent="tip"} To log the traces to a specific project, you can add the `projectName` parameter to the `OTEL_EXPORTER_OTLP_HEADERS` environment variable: ```bash wordWrap export OTEL_EXPORTER_OTLP_HEADERS='Authorization=,Comet-Workspace=default,projectName=' ``` You can also update the `Comet-Workspace` parameter to a different value if you would like to log the data to a different workspace. ::: :::: ::::tab{title="Enterprise deployment"} If you are using an Enterprise deployment of Opik, you will need to set the following environment variables: ```bash wordWrap export OTEL_EXPORTER_OTLP_ENDPOINT=https:///opik/api/v1/private/otel export OTEL_EXPORTER_OTLP_HEADERS='Authorization=,Comet-Workspace=default' ``` :::callout{intent="tip"} To log the traces to a specific project, you can add the `projectName` parameter to the `OTEL_EXPORTER_OTLP_HEADERS` environment variable: ```bash wordWrap export OTEL_EXPORTER_OTLP_HEADERS='Authorization=,Comet-Workspace=default,projectName=' ``` You can also update the `Comet-Workspace` parameter to a different value if you would like to log the data to a different workspace. ::: :::: ::::tab{title="Self-hosted instance"} If you are self-hosting Opik, you will need to set the following environment variables: ```bash export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:5173/api/v1/private/otel ``` :::callout{intent="tip"} To log the traces to a specific project, you can add the `projectName` parameter to the `OTEL_EXPORTER_OTLP_HEADERS` environment variable: ```bash export OTEL_EXPORTER_OTLP_HEADERS='projectName=' ``` ::: :::: ::::: ## Using Opik with Microsoft Agent Framework The Microsoft Agent Framework has built-in OpenTelemetry instrumentation. Once you've configured the environment variables above, you can start creating agents and their traces will automatically be sent to Opik: ```python 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()) ``` The framework will automatically: - Create traces for agent executions - Log input prompts and outputs - Track token usage and performance metrics - Capture any errors or exceptions ## Further improvements If you would like to see us improve this integration, simply open a new feature request on [Github](https://github.com/comet-ml/opik/issues). ## Related pages - [Observability for AG2 with Opik](./python-ag2.md) - [Observability for Agent Spec with Opik](./python-agentspec.md) - [Observability for Agno with Opik](./python-agno.md) - [Observability for BeeAI (Python) with Opik](./python-beeai.md) - [Observability for Claude Agent SDK with Opik](./python-claude-agent-sdk.md) - [Observability for AutoGen with Opik](./python-autogen.md) - [Observability for CrewAI with Opik](./python-crewai.md) - [Observability for DSPy with Opik](./python-dspy.md) - [Observability for Google Agent Development Kit (Python) with Opik](./python-adk.md) - [Observability for Haystack with Opik](./python-haystack.md) # Agent Instructions Cite this page’s canonical URL and keep its documentation version. 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