Setup Install the Braintrust SDK and AutoGen with the OpenAI extension (used in the examples below), then set your Braintrust and OpenAI API keys. ```bash uv theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}} uv add braintrust autogen-agentchat "autogen-ext[openai]" ``` ```bash pip theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}} pip install braintrust autogen-agentchat "autogen-ext[openai]" ``` ```bash title=".env" theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}} BRAINTRUST_API_KEY= OPENAI_API_KEY= ``` Auto-instrumentation To trace AutoGen alongside Braintrust’s other supported libraries, call `braintrust.auto_instrument()` before creating AutoGen agents or teams. ```python Python theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}} import asyncio import os import braintrust from autogen_agentchat.agents import AssistantAgent from autogen_agentchat.ui import Console from autogen_ext.models.openai import OpenAIChatCompletionClient braintrust.auto_instrument() braintrust.init_logger( api_key=os.environ["BRAINTRUST_API_KEY"], project="autogen-example", # Replace with your project name ) async def main(): model_client = OpenAIChatCompletionClient(model="gpt-4o-mini") agent = AssistantAgent( "assistant", model_client=model_client, system_message="Answer in one sentence.", ) await Console(agent.run_stream(task="What is the capital of France?")) await model_client.close() if __name__ == "__main__": asyncio.run(main()) ``` To trace AutoGen without auto-instrumenting other libraries, use `setup_autogen()` instead of `braintrust.auto_instrument()`. ```python Python theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}} import asyncio from autogen_agentchat.agents import AssistantAgent from autogen_agentchat.ui import Console from autogen_ext.models.openai import OpenAIChatCompletionClient from braintrust.integrations.autogen import setup_autogen setup_autogen(project_name="autogen-example") async def main(): model_client = OpenAIChatCompletionClient(model="gpt-4o-mini") agent = AssistantAgent( "assistant", model_client=model_client, system_message="Answer in one sentence.", ) await Console(agent.run_stream(task="What is the capital of France?")) await model_client.close() if __name__ == "__main__": asyncio.run(main()) ``` Already running AutoGen with OpenTelemetry? Keep that setup and route spans to Braintrust using the [Braintrust OpenTelemetry guide](/integrations/sdk-integrations/opentelemetry#python-sdk-configuration). What Braintrust traces Braintrust patches AutoGen’s chat agent, team, and `FunctionTool` entry points (`autogen-agentchat>=0.7.0`). Captured spans: * Agent run spans (`.run` and `.run_stream`), with task input, agent metadata (name, description, class), output, and errors. Emitted for direct agent calls only — agents running inside a team are not individually traced. * Team run spans (`.run` and `.run_stream`), with task input, team metadata (name, description, class, participant names), output, and errors. * Tool call spans (`.run`) for `FunctionTool` invocations, with arguments, tool metadata (name, description, class), output, and errors. * Streaming events aggregated into the parent span’s output, not emitted as per-chunk child spans. * Parent-child nesting: team → tool calls and LLM spans. With `auto_instrument()` (which also patches OpenAI, Anthropic, and other providers by default), each LLM call appears as a child span under the team span. Resources * [AutoGen documentation](https://microsoft.github.io/autogen/stable/) * [Braintrust Python SDK reference](/reference/sdks/python/latest) * [Braintrust OpenTelemetry guide](/integrations/sdk-integrations/opentelemetry)

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