Schema.ai· vLLM
vLLM v0.23.0API up

Prefix cache effectiveness metrics

seed slicevLLM v0.23.0evidence: source code and documentation

Coverage

Coverage for the vLLM v0.23.0 first-party prefix-cache counters and how to compute and interpret the prefix cache hit rate.

Strong for what vllm:prefix_cache_queries and vllm:prefix_cache_hits count (tokens), where they are set from, and how to compute hit rate; none for healthy hit-rate thresholds or workload-specific tuning.

Scoped to the two first-party prefix-cache counters; external/KV-connector prefix-cache counters are inventoried but not semantically covered.

Claims in this topic (5)

Metrics in this topic (2)

Known gaps

The corpus has no benchmark or operator evidence for healthy prefix-cache hit-rate ranges; hit rate is workload-dependent (prompt-prefix sharing).

Schema.ai can explain how to compute the hit rate but must not grade an observed value as good or bad.

Check: Add benchmark or design-partner telemetry evidence before serving hit-rate thresholds.

vllm:external_prefix_cache_queries/hits (KV-connector prefix cache) are availability-inventoried but carry no semantic claims.

Existence answers are available for the external counters; interpretation claims are not.

Check: Promote KV-connector prefix-cache semantics from the connector metrics source when connector deployments become an eval target.