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ai-observability

maintained by omer-metin

star 29 account_tree 6 verified_user MIT License
bolt View GitHub

Implement comprehensive observability for LLM applications including tracing (Langfuse/Helicone), cost tracking, token optimization, RAG evaluation metrics (RAGAS), hallucination detection, and production monitoring. Essential for debugging, optimizing costs, and ensuring AI output quality. Use when ", llm-monitoring, tracing, langfuse, helicone, cost-tracking, ragas, evaluation, hallucination-detection, prompt-caching" mentioned.

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Skill Details

GitHub Stars 29
GitHub Forks 6
Created Jan 2026
Last Updated il y a 4 mois
tools tools debugging

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