LLM Observability — Canonical Workflow

What this reference supports

LLM observability is the end-to-end monitoring stack for a deployed LLM application — traces, evals, cost tracking, drift detection, and incident response so quality or cost regressions surface before users notice them.

Use this page to check what an observability stack needs to cover — tracing, evaluation, cost, drift, and incident workflows — and review the related tool, architecture, and evaluation-pipeline references before implementing one.

This workflow's representative-workload evaluation protocol has been drafted, but ModelRefs does not yet have recorded run evidence confirming detection and attribution across prompt, model, provider, and deployment changes. Treat readiness or completion claims as provisional until validated on your own workload.