ai-tracing-requests

Name: ai-tracing-requests
Rating: 5 (6 reviews)
Author: lebsral

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

6stars

Updated 13 days ago

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How to add

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

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

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#ai

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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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