observability

Work from token timestamps to first-token wait, average pace and individual stalls. Then count requests meeting both latency limits, keeping failures and measurement boundaries explicit.

Trace the slow requests through queue, engine and gateway clocks. A flat median narrows the investigation, but it does not establish a cause.

Thirty percent GPU utilization means kernels ran during about thirty percent of the sampled time. Find out what limits those kernels, what happens between them, and whether requests are meeting their latency targets.

Work two audio timelines: input accumulation before transcription and playback starvation after synthesis. Compare real-time factor, response delay and safe concurrent capacity without mixing their units.

Build observability around durable useful progress and aligned phase timing, showing why full-step timers can hide the late rank.

Trace a stalled stream without unbounded telemetry, understand what sampling loses, and reconcile GPU allocation with a stated cost policy.

Define model aliases, permission-aware routing, response reuse and bounded retries. Trace a request whose cached answer becomes invalid after its source permissions change.

Keep request timing independent, make snapshots consistent, and expose overwritten records. Test the ring after more concurrent writes than it can retain.