LLM Monitoring

LLM monitoring tracks production health: latency percentiles, error rates, token consumption, cost per request, and quality scores over time. Drift detection identifies when model behavior changes. Alerting on anomalies catches issues before users report them. Integration with APM tools provides end-to-end visibility.