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Observability with Traceloop and Bito AI Integration

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Linked challenge: Secure AI Policy Agent with OpenAI Agents SDK and Llama 4 Maverick

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Linked challenge
Secure AI Policy Agent with OpenAI Agents SDK and Llama 4 Maverick

Prompt source

Original prompt text with formatting preserved for inspection.

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Integrate Traceloop into your multi-agent system to monitor agent interactions, tool calls, and LLM usage. Describe how Traceloop's data would be used for debugging and performance optimization. Additionally, outline how a Bito AI conversational interface would allow HR managers to interact with this system, refine policy drafts, and ask follow-up questions about sentiment trends. Provide a pseudo-code snippet for sending agent traces to Traceloop.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.