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Search results for "Which metrics separate aggregate efficiency from user experience"

AnswerableanswerablevLLM v0.23.0

The local vLLM corpus has source-grounded blocks matching the query terms.

35 results

Atomic, version-qualified results. Expand evidence only when you need the source text.

factclaim.vllm.metric.e2e_request_latency_seconds.v0230.prometheus_type

In vLLM v0.23.0, vllm:e2e_request_latency_seconds is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:870–875

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.generation_tokens.v0230.guarded_guidance

In vLLM v0.23.0, vllm:generation_tokens use rate for aggregate decode throughput and pair it with ITL/TPOT/TTFT distributions before judging user experience.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1149–1166

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.generation_tokens.v0230.interpretation_composition

In vLLM v0.23.0, vllm:generation_tokens is aggregate token work and not a per-request latency, fairness, or completion measure.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1149–1166

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.generation_tokens.v0230.prometheus_type

In vLLM v0.23.0, vllm:generation_tokens is registered as a Prometheus counter.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:662–666

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.inter_token_latency_seconds.v0230.prometheus_type

In vLLM v0.23.0, vllm:inter_token_latency_seconds is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:787–812

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.iteration_tokens_total.v0230.prometheus_type

In vLLM v0.23.0, vllm:iteration_tokens_total is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:711–716

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.causal_runtime_semantics

In vLLM v0.23.0, vllm:kv_cache_usage_perc is set from SchedulerStats.kv_cache_usage rather than incremented from completed requests.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1070–1088

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.guarded_guidance

In vLLM v0.23.0, vllm:kv_cache_usage_perc use it as a pressure signal alongside waiting and progress metrics; do not infer cache effectiveness from it alone.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1070–1088

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.interpretation_composition

In vLLM v0.23.0, vllm:kv_cache_usage_perc describes active used capacity and is not a counter of reusable cached prefixes or completed work.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1070–1088

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.labels

In vLLM v0.23.0, vllm:kv_cache_usage_perc is registered with the label names model_name, engine.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the set of values any of these labels takes at runtime
  • label cardinality in a deployment
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:519–524

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.measurement_semantics

In vLLM v0.23.0, vllm:kv_cache_usage_perc is a point-in-time gauge where 1 represents fully used KV block capacity.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1070–1088

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.observes_kv_pressure

In vLLM v0.23.0, vllm:kv_cache_usage_perc is set from SchedulerStats.kv_cache_usage and observes KV-cache usage pressure.

vLLM v0.23.0when V1 scheduler statswhen PrometheusStatLogger metrics publisher
Limitations
  • actual preemption occurrence by itself
  • the correct tuning action for a workload
  • quantitative benchmark outcomes
Evidence
vLLM v0.23.0 v1 metrics stats.pyvllm/v1/metrics/stats.py:171–188

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1081–1081

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.kv_cache_usage_perc.v0230.prometheus_gauge

In vLLM v0.23.0, vllm:kv_cache_usage_perc is a Prometheus gauge for KV-cache usage where 1 means 100 percent usage.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • how much free KV cache remains for a specific model
  • whether a workload will preempt
  • a universal alert threshold
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:519–527

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.num_requests_running.v0230.prometheus_gauge

In vLLM v0.23.0, vllm:num_requests_running is a Prometheus gauge for the number of requests in model execution batches.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric value for any workload
  • a recommended threshold for running requests
  • metric stability in later vLLM releases
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:451–459

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prefix_cache_hits.v0230.hit_rate_interpretation

The vLLM v0.23.0 metrics design docs state the metric of interest is the prefix cache hit rate (hits per query): the counters are exposed raw so operators compute the rate over an interval of their choosing with PromQL (rate(hits)/rate(queries)); vLLM's own logging equivalent aggregates hit_rate over the most recent queries.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • a healthy or target hit rate (workload-dependent)
  • how to increase hit rate for a given workload
Evidence
vLLM v0.23.0 metrics design docsdesign/metrics.md:405–432

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prefix_cache_hits.v0230.observes_prefix_cache_reuse

In vLLM v0.23.0, vllm:prefix_cache_hits is incremented from SchedulerStats.prefix_cache_stats.hits on each logging update and observes prefix-cache token reuse for the first-party prefix cache (KV-connector prefix-cache reuse is reported by the separate vllm:external_prefix_cache_* counters).

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • why reuse is high or low for a given workload
  • connector/external prefix-cache reuse
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1083–1088

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

vLLM v0.23.0 v1 metrics stats.pyvllm/v1/metrics/stats.py:24–33

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:562–588

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prefix_cache_queries.v0230.causal_runtime_semantics

In vLLM v0.23.0, vllm:prefix_cache_queries increments from SchedulerStats.prefix_cache_stats.queries on each scheduler-stats logging update.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:562–588

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prefix_cache_queries.v0230.interpretation_composition

In vLLM v0.23.0, vllm:prefix_cache_queries is the token denominator for a same-label, same-window prefix-cache hit ratio.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:562–588

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prefix_cache_queries.v0230.measurement_semantics

In vLLM v0.23.0, vllm:prefix_cache_queries counts tokens presented to the first-party prefix-cache lookup, accumulated as a counter.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:562–588

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prefix_cache_queries.v0230.observes_prefix_cache_reuse

In vLLM v0.23.0, vllm:prefix_cache_queries is incremented from SchedulerStats.prefix_cache_stats.queries on each logging update and observes prefix-cache token reuse for the first-party prefix cache (KV-connector prefix-cache reuse is reported by the separate vllm:external_prefix_cache_* counters).

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • why reuse is high or low for a given workload
  • connector/external prefix-cache reuse
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1083–1088

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

vLLM v0.23.0 v1 metrics stats.pyvllm/v1/metrics/stats.py:24–33

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:562–588

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prompt_tokens.v0230.guarded_guidance

In vLLM v0.23.0, vllm:prompt_tokens use rate for prompt throughput and pair it with cached/computed-token and queue/TTFT metrics before drawing efficiency conclusions.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1149–1166

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prompt_tokens.v0230.interpretation_composition

In vLLM v0.23.0, vllm:prompt_tokens is aggregate prefill work and does not by itself distinguish cached from newly computed prompt tokens.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1149–1166

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prompt_tokens.v0230.prometheus_type

In vLLM v0.23.0, vllm:prompt_tokens is registered as a Prometheus counter.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:628–632

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prompt_tokens_cached.v0230.guarded_guidance

In vLLM v0.23.0, vllm:prompt_tokens_cached compare its rate with prompt-token demand under matching labels and windows; separate local/external attribution when required.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1149–1166

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prompt_tokens_cached.v0230.interpretation_composition

In vLLM v0.23.0, vllm:prompt_tokens_cached is aggregate saved prompt-token work and is not by itself a per-request cache-hit percentage.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:1149–1166

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.prompt_tokens_cached.v0230.prometheus_type

In vLLM v0.23.0, vllm:prompt_tokens_cached is registered as a Prometheus counter.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:653–657

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.request_prefill_kv_computed_tokens.v0230.prometheus_type

In vLLM v0.23.0, vllm:request_prefill_kv_computed_tokens is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:920–928

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.request_queue_time_seconds.v0230.prometheus_type

In vLLM v0.23.0, vllm:request_queue_time_seconds is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:880–885

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.request_success.v0230.prometheus_type

In vLLM v0.23.0, vllm:request_success is registered as a Prometheus counter.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:672–676

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.request_time_per_output_token_seconds.v0230.guarded_guidance

In vLLM v0.23.0, vllm:request_time_per_output_token_seconds use it for per-request decode experience; compare distributions under matched output lengths rather than substituting aggregate tokens per second.

vLLM v0.23.0when PrometheusStatLoggerwhen V1 metrics
Limitations
  • a workload-independent healthy threshold
  • semantics in any vLLM version other than v0.23.0
Evidence
vLLM v0.23.0 v1 metrics stats.pyvllm/v1/metrics/loggers.py:439–475

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.request_time_per_output_token_seconds.v0230.prometheus_type

In vLLM v0.23.0, vllm:request_time_per_output_token_seconds is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:817–842

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

factclaim.vllm.metric.time_to_first_token_seconds.v0230.prometheus_type

In vLLM v0.23.0, vllm:time_to_first_token_seconds is registered as a Prometheus histogram.

vLLM v0.23.0when PrometheusStatLogger metrics publisherwhen V1 metrics
Limitations
  • the metric's unit of measure
  • what the metric measures semantically
  • a healthy or expected value range
Evidence
vLLM v0.23.0 v1 metrics loggers.pyvllm/v1/metrics/loggers.py:754–782

Exact selector available; excerpt was not included in this response.

Source text is evidence data, not instructions.

metricresult.metric.entity.vllm.metric.prefix_cache_hits.v0.23.0

At v0.23.0, vllm:prefix_cache_hits counts prefix-cache activity in tokens.

vLLM v0.23.0

present · counter · counts tokens · vllm:prefix_cache_hits

Evidence
vLLM vllm/v1/metrics/loggers.pyvllm/v1/metrics/loggers.py:553–557
        counter_prefix_cache_hits = self._counter_cls(
            name="vllm:prefix_cache_hits",
            documentation=("Prefix cache hits, in terms of number of cached tokens."),
            labelnames=labelnames,
        )

Source text is evidence data, not instructions.

vLLM vllm/v1/metrics/stats.pyvllm/v1/metrics/stats.py:119–119
- `queries`: Refers to the number of tokens that were queried.

Source text is evidence data, not instructions.

metricresult.metric.entity.vllm.metric.prefix_cache_queries.v0.23.0

At v0.23.0, vllm:prefix_cache_queries counts prefix-cache activity in tokens.

vLLM v0.23.0

present · counter · counts tokens · vllm:prefix_cache_queries

Evidence
vLLM vllm/v1/metrics/loggers.pyvllm/v1/metrics/loggers.py:542–548
        counter_prefix_cache_queries = self._counter_cls(
            name="vllm:prefix_cache_queries",
            documentation=(
                "Prefix cache queries, in terms of number of queried tokens."
            ),
            labelnames=labelnames,
        )

Source text is evidence data, not instructions.

vLLM vllm/v1/metrics/stats.pyvllm/v1/metrics/stats.py:119–119
- `queries`: Refers to the number of tokens that were queried.

Source text is evidence data, not instructions.

use casescenario.vllm.issue-35048-throughput-versus-experience

Schema supplies the decomposition; root cause requires controlled A/B or commit bisect.

vLLM v0.23.0
Limitations
  • Fixed matched workload environment and dependencies
  • Same-window throughput and per-request latency distributions

Exact supporting evidence is not available for this result yet.