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ai-tracing-requests

See exactly what your AI did on a specific request. Use when you need to debug a wrong answer, trace a specific AI request, profile slow AI pipelines, find which step failed, inspect LM calls, view token usage per request, build audit trails, or understand why a customer got a bad response. Covers DSPy inspection, per-step tracing, OpenTelemetry instrumentation, and trace viewer setup., debug slow

6estrelas
Atualizado há 4 meses

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Como adicionar

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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[![Skillteca](https://www.skillteca.com.br/api/badge/ai-tracing-requests/svg)](https://www.skillteca.com.br/skills/ai-tracing-requests)
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Ler descrição completa

See What Your AI Did on a Specific Request

Guide the user through tracing and debugging individual AI requests. The goal: for any request, see every LM call, retrieval step, intermediate result, token count, and latency.

How tracing differs from monitoring

| | Monitoring (/ai-monitoring) | Tracing (this skill) | |---|---|---| | Scope | Aggregate health across all requests | Single request, full detail | | Question answered | "Is accuracy dropping this week?" | "Why did customer #12345

[Description truncada. Veja o README completo no GitHub.]

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