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LLM cost control: routing, caching and budgets that hold

Model routing, prompt caching and per-workflow budgets keep AI economics predictable.

22 October 20263 min readBy the DIA team

Token costs grow quietly with adoption. Route simple requests to smaller models, cache repeatable work, set per-workflow budgets and monitor cost per resolved request.

Measure cost per outcome — per ticket resolved, per invoice matched, per call contained — not per token.

What to do next

  • Route by task difficulty
  • Cache stable context
  • Set workflow budgets and alerts

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