What is Token Caching?

Token caching is the reuse of previously computed AI responses (or response fragments) for repeated or near-identical requests, so the organization does not pay a provider twice for the same answer. It is one of the highest-leverage AI cost controls available.

Enterprise AI traffic is repetitive: the same questions, the same document summaries, the same boilerplate transformations recur across users and days.

A cache at the checkpoint level works across tools and teams — user A’s answer can serve user B’s identical request — subject to access policy, freshness rules, and privacy boundaries.

Caching is one of the levers Tokto applies to reduce token usage, alongside prompt normalization and smart routing.