Monitoring LLM behavior: Drift, retries, and refusal patterns

Enterprise AI needs a layered evaluation stack to monitor LLM behavior in production.

Start with cheap deterministic checks to catch schema, routing, and other hard failures early.

Use LLM-as-a-judge for semantic quality, because model outputs are stochastic and can vary.

Layered evaluation helps detect hallucinations, drift, retries, and refusal patterns while reducing compliance risk.