This analysis synthesizes recent LLM observability research into a five-layer framework and identifies the integration of model signals with infrastructure anomalies as the central open problem.
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AI Observability for Large Language Model Systems: A Multi-Layer Analysis of Monitoring Approaches from Confidence Calibration to Infrastructure Tracing
This analysis synthesizes recent LLM observability research into a five-layer framework and identifies the integration of model signals with infrastructure anomalies as the central open problem.