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tektonc-data-collection
tektonc-data-collection에는 inference-sim에서 수집한 skills 3개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Automates BLIS LLM data collection pipeline on Tekton. Handles cluster validation, pipeline deployment, monitoring, and data retrieval. Supports custom vLLM images and observability features (journey tracing, step tracing, KV events). Use for benchmarking (/blis) or deep debugging (/blis --observability).
Automates BLIS LLM benchmarking pipeline with inference-perf harness on Tekton. Handles cluster validation, pipeline deployment, monitoring, and data retrieval. Defaults to stock vLLM; observability features (journey tracing, step tracing, KV events) are opt-in via --observability/--obs. Use for detailed request lifecycle analysis (/blis-inference-perf, /blis-ip). Outputs inference-perf metrics: per_request_lifecycle_metrics.json, stage metrics, summary.
Use when asked to view, analyze, or display results from a BLIS data collection experiment. Triggers include "show results", "download data", "view benchmark", or referencing an experiment ID.