Prometheus metrics are exposed at GET /metrics.
| Metric | Meaning |
|---|---|
deepseq_active_requests |
In-flight model requests admitted by this replica |
deepseq_recommendations_total{status} |
Success, cache, fallback, overload, and error outcomes |
deepseq_recommendation_latency_seconds |
End-to-end admitted request latency |
deepseq_model_inference_latency_seconds |
PyTorch inference duration |
deepseq_cache_hits_total / deepseq_cache_misses_total |
Replica-local cache behavior |
deepseq_feedback_events_total{event_type} |
Accepted learning-feedback events |
No availability SLO is claimed by the repository. Operators should establish objectives only after target-environment load and failure testing. Recommended alert dimensions include model version, error/fallback rate, saturation, p95/p99 latency, unknown-item rate, drift, delayed-label ranking quality, coverage, and experiment guardrails.