Do prompt caches meaningfully cut costs for production AI agents?
MembershipEmergency7 · reddit · 2026-07-22
The author asks whether prompt caching delivers meaningful savings for production AI agents, since agents often resend the same system prompt, tool schemas, instructions, memory, and context across turns.
They want real-world experience on:
- whether caching materially reduces cost
- how it behaves with long tool definitions and large system prompts
- how multi-provider routing affects cache hit rates
- whether sticky routing is worth it for cache locality
- at what scale caching becomes worth designing around
The core question is whether prompt caching is a major lever for agent economics, or just a minor optimization compared with model choice, context trimming, batching, and task routing.
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