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sk Skill · ContextJet-ai

debug-agent-from-traces

Use this to diagnose WHY an LLM agent or chain produced a wrong, empty, slow, or expensive result, by reading its observability trace. Trigger on "my agent gave the wrong answer", "the chain returned nothing", "why is this so slow/expensive", "debug this trace/run", or when a trace tree is available. Walk the span tree systematically instead of guessing.

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Host repository
ContextJet-ai/awesome-llm-observability
Licence
CC0-1.0
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34
Host language
Python