vLLM operational knowledgeSCHEMA.AI

vLLM (official site) is an open-source inference and serving engine for large language models. Schema.ai curates operational knowledge for running it — source-grounded, version-scoped, evidence-backed building blocks, not generated answers.

vLLM official sources

Source code, docs, design notes, issues — pinned and checked upstream material.

Schema.ai organizes

Deterministic, factual building blocks — version-accurate, verified, and concept-linked in a knowledge graph.

Your AI agent queries

Agents and assistants get facts that are always grounded in the original sources.

Try querying the Schema.ai API for vLLM knowledge — the same search an AI agent runs.

Search results for "vllm:prefix_cache_queries_total"

Answerability

answerable_from_corpus

Availability records establish the named surface member's existence and registration conditions at the requested version; no semantic claims cover it yet.

Provenance & sources

Scope: local_corpus_snapshots

vLLM v0.23.0 v1 metrics loggers.py

vllm-projectsource_filev0.23.0

How to use this

Use as

Source-grounded building blocks for a downstream UI, evaluator, or human.

Do not use as

A complete recommendation or comprehensive vLLM coverage map.

Next steps

Inspect returned blocks and their source snapshots. — Schema returns evidence-backed ingredients rather than a composed answer.