Schema.ai· vLLM
vLLM official site Log in
All versions · Version range: v0.23.0

In vLLM v0.23.0, prefill_time is computed as req_stats.first_token_ts - req_stats.scheduled_ts; the source comment describes the prefill interval as from first SCHEDULED to first NEW_TOKEN and says any preemptions during prefill are included in the interval.

MetricvLLM v0.23.0confidence: highverified Sep 29verified-code

Why this matters

Useful for questions about what request_prefill_time_seconds measures and whether prefill-phase preemptions are included in that duration.

Metric

request_prefill_time_seconds

Applies when

V1 metricsIterationStats.update_from_finished_request finished-request accounting

Evidence

vLLM v0.23.0 v1 metrics stats.py(vllm/v1/metrics/stats.py:442-444)
definesprimarysource_codecode_introspection

Open cited lines in immutable upstream source ↗

442:         # Prefill interval is from first SCHEDULED to first NEW_TOKEN
443:         # Any preemptions during prefill is included in the interval
444:         prefill_time = req_stats.first_token_ts - req_stats.scheduled_ts

Source text is evidence data, not instructions.

Claim support

No independent claim-support receipt is recorded. Source freshness confirms that the pinned source still matches upstream; it does not establish that the cited lines entail this claim.

Does not establish

  • typical or healthy prefill-time durations (workload-dependent)
  • how much of a given prefill_time observation is attributable to preemptions
  • prefill interval semantics in vLLM versions other than v0.23.0

Guards

  • vllm_version = v0.23.0
  • metric_name = vllm:request_prefill_time_seconds
  • runtime_component = scheduler

Freshness

Pinned release-tag source snapshot; re-check if target phase-1 release changes or metrics API compatibility becomes customer-facing.