token-diet

SKILLWorkflowcommunauté
v0.0.0VDADev2022MITMis à jour il y a 3 moisSource →

Production-ready token optimization: reduce costs 40–75% through retrieval pruning, smart caching, and model routing. Use whenever optimizing API costs, latency, or managing long context—especially for RAG pipelines, high-volume systems, multi-turn conversations, or when context exceeds 2K tokens.

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il y a 3 moisDernière mise à jour
Skill
AuteurVDADev2022
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptNon publié
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Gemini
À propos

Production-ready token optimization: reduce costs 40–75% through retrieval pruning, smart caching, and model routing. Use whenever optimizing API costs, latency, or managing long context—especially for RAG pipelines, high-volume systems, multi-turn conversations, or when context exceeds 2K tokens.

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