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Token Optimization Techniques for AI Apps: Caps and Cost Control

This story is from 2026-09-27. It is preserved in the archive; the latest stories are on the live feed.

Short answer: Token optimization for AI apps is four disciplines in one request path: measure tokens before you spend them, shape and compress the payload before the model sees it, cache and route so the same bytes are never paid for twice, and cap the loop with quotas and output limits. SmartGate…

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  1. 2026-09-27 02:48 · DEV Community — AI
    Token Optimization Techniques for AI Apps: Caps and Cost Control

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