metrics-server
Mesh-LLM/mesh-llm/.agents/skills/metrics-server/SKILL.md
Use this skill when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting ownership from staged runtime servers.
Skill3.5k starsChanged 45 days ago
What's in it
- metrics-server
- Commands
- Workflow
--- name: metrics-server description: Use this skill when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting ownership from staged runtime servers. metadata: short-description: Work on benchmark telemetry and reports --- # metrics-server Use this skill when working on benchmark telemetry ingest, run lifecycle, or report export. ## Commands ```bash cargo build -p metrics-server target/debug/metrics-server serve \ --db /tmp/metrics.sqlite \ --http-addr 127.0.0.1:18080 \ --otlp-grpc-addr 127.0.0.1:14317 ``` Benchmark reports should come from metrics-server data. Stage servers emit OTLP; they do not own canonical report export. ## Workflow - Start `metrics-server` before a benchmark or experimental skippy run. - Pass the OTLP endpoint to skippy stages with `--metrics-otlp-grpc`. - Use `--debug-retain-raw-otlp` only for surgical debugging; default reports should avoid retaining raw payloads. - Finalize the run through the HTTP API and export `report.json` from metrics-server data.
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