Real-time monitoring of your deployed LLMs. Track latency, hallucination rate, token usage, and model drift.
P50/P95/P99 latency dashboards per endpoint. Detect regressions before they reach users.
Automatically flag responses that contradict the fine-tuning data or exceed confidence thresholds.
Detect distribution shift in inputs or outputs over time. Trigger automatic retraining workflows.
Monitor every request, every response, and every model version in production. Understand exactly how your fine-tuned models are performing across cohorts.