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The AutoGen integration works with both classic AutoGen and AG2 (the community fork). Like CrewAI, it routes through OpenTelemetry.

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Install

pip install decimalai
Install AutoGen separately if you don’t already have it.

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Use

import decimalai
decimalai.init(api_key="dai_sk_...", autogen=True)

# Agent conversations and tool usage are traced
chat_result = user_proxy.initiate_chat(assistant, message="Hello")

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What gets captured

  • Each turn of the agent conversation
  • Tool invocations and their results
  • LLM calls behind each agent’s reasoning
  • Group chat coordination spans

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Caveats

  • AutoGen’s conversation model is turn-based, not tree-based. DecimalAI flattens turns into a sequential trace; if you want a tree view, use the explicit @decimalai.trace decorator on your top-level orchestrator function.
  • Manifest detection captures tool names only.

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What’s next

Tracing guide

Manual @trace decorator if you want tree-shaped traces.

Multi-agent guide

Modeling group chats and orchestrator patterns.