llm-observability-and-cost

SKILLFlusso di lavorocommunity
v0.0.0jpoindexterUnknownAggiornato 19 g faFonte →

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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19 g faUltimo aggiornamento
Skill
Autorejpoindexter
Versione0.0.0
LicenzaUnknown
CategoriaFlusso di lavoro
Formatiskill.md
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Descrizione

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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