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Eval integration #1418

@dauvannam1804

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@dauvannam1804

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Question: Evaluation Metrics for Multi-Agent Systems in OpenAI Agents SDK

Hi everyone,

I've been exploring the OpenAI Agents SDK (Python) and I see it includes useful features like tracing, handoffs, guardrails, and orchestration primitives for building multi-agent workflows.

However, I haven't found any documented framework or built-in methods specifically focused on evaluating multi-agent system performance—e.g., coordination efficiency, collaboration quality, agent-to-agent communication robustness, or other multi-agent metrics.

I have two related questions:

  1. Are there any existing frameworks or evaluation approaches (maybe external or community-driven) that people commonly use to assess multi-agent systems built with the SDK?

  2. Does the OpenAI team plan to include formalized evaluation metrics or frameworks for multi-agent systems within the OpenAI Agents SDK in future versions?

It would be great to hear from others: what metrics (e.g., latency, tool invocation counts, success rate, coordination delays, consistency in handoffs, etc.) do you use to assess multi-agent system performance in practice?

Thanks for building such a powerful SDK—and thanks in advance for any guidance or thoughts!

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