llm-observability-and-cost

SKILLFlujo de trabajocomunidad
v0.0.0jpoindexterUnknownActualizado hace 19 dFuente →

Reference-grade guide to production LLM observability and cost attribution — distributed traces and spans for multi-step agents, OpenTelemetry GenAI semantic conventions, the metrics/percentiles that matter, drift detection with online evals, and per-feature/tenant/user cost attribution via span met

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Skill
Autorjpoindexter
Versión0.0.0
LicenciaUnknown
CategoríaFlujo de trabajo
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Reference-grade guide to production LLM observability and cost attribution — distributed traces and spans for multi-step agents, OpenTelemetry GenAI semantic conventions, the metrics/percentiles that matter, drift detection with online evals, and per-feature/tenant/user cost attribution via span metadata. Real tooling (LangSmith, Langfuse, Phoenix, Helicone, OTel), tables, do/don't, and the failur

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