AI observability must track behavior, not just health, across four layers
dl_weekly · x · 2026-08-23
Traditional observability fails to reveal semantic failures in non-deterministic AI systems. This guide argues that AI observability must capture telemetry across four layers—app, agent, model, and retrieval—and add evaluations as a fourth signal alongside logs, metrics, and traces. This helps teams monitor quality, safety, and costs, and understand agent behavior in production.
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