A good caching case
A support assistant may send the same 20-page policy guide and tool definitions on every request. If those inputs remain stable across many calls, caching can reduce repeated processing and cost while keeping the same evidence available.
Use it when
- The prefix or context is repeated often.
- The provider’s cache rules and retention behavior fit your data policy.
- The workload is large enough for the savings to matter.
- You can tell when cached content is stale.
Do not cache blindly
A cached policy can be worse than no cache if an update is not invalidated. Keep version IDs or dates in the cache key, measure cache-hit behavior, and never treat caching as permission to include unnecessary private data.