AutoGen AgentChat instrumentor, which captures agent runs, model calls, and tool calls as OTLP spans. Point the exporter at AgentMark and the traces arrive normalized. AutoGen is a Python framework.
Setup
Point the exporter at AgentMark and instrument AutoGen
Use your AgentMark API key and app id from project settings.
Run your agent
Run your AutoGen agents as usual. Each agent run, model call, and tool call arrives in AgentMark as a span, grouped into a trace. See Traces and logs.
What AgentMark captures
AutoGen spans use the OpenInference attribute conventions — model, token usage, input and output messages, tool calls, settings, and span kind are all mapped onto AgentMark’s normalized trace fields, and token counts feed cost tracking. See OpenInference for the full attribute mapping.Agent and tool spans are captured for any model client. The model-call span — carrying model name and token counts — is captured for AutoGen’s OpenAI-compatible clients (
OpenAIChatCompletionClient, AzureOpenAIChatCompletionClient).Next steps
OpenInference
How AgentMark reads OpenInference attributes
Traces and logs
Explore traces once they arrive
Have questions?
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