* feat(skill): add vLLM inference-serving skill (#247)
Add a single-tool vllm skill covering Docker/Kubernetes deployment,
quantization-aware model configuration (tensor parallelism, KV cache),
the OpenAI-compatible API surface, throughput/latency benchmarking,
continuous batching tuning, GPU operation, and upgrade/rollback.
Ships a read-only vllm-health probe (stdlib-only, --json), fillable
serving-config and benchmark-run-record templates, seven dated
references with upstream sources, a human-facing README, tests, and a
schema-v1 eval manifest with six cases covering config, benchmarking,
and troubleshooting.
Route ml-engineering to the new skill via a resolvable link alongside
llama-cpp, add the vllm entry to the top-level README index, and
regenerate the tracked catalogs.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* fix(skill): emit timeout exit 124 and bound /metrics reads in vllm-health
Address the review observations on the bundled probe: requests that exceed
--timeout now raise ProbeTimeout and make the tool exit 124 as documented
(previously they surfaced as exit 1), and the metrics check reads at most
64 KiB of /metrics and reports truncation instead of reading the whole body.
Adds tests for both behaviors.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
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Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
