Build golden test suites, enforce CI/CD gates, and monitor live traffic to prevent LLM regressions, hallucinations, and unsafe outputs.

Monitor and score LLM outputs in production with inline checks, async judges, sampled reviews, trace logging, and regression tests.

Create production-matched, versioned evals: prioritize coverage, prevent contamination, calibrate LLM judges, and monitor dataset drift.

Trace full conversations with stable session IDs, LLM/tool spans, cost and evals to debug silent multi-turn agent failures.

Uptime isn't observability — track LLM failures with trace logs, live scoring, human review, alerts, and regression tests.

Baseline live traffic, sample traces, and monitor input/output/operational signals so alerts trigger observe→investigate→act before regressions spread.