Prompt caching can cut agent token costs by 50% to 90% on repeated requests

blaizedsouza · x · 2026-07-28

Why it matters

Prompt caching is presented as a practical way to cut both token cost and latency in agent systems by reusing the static parts of prompts.

Main takeaways

Re-sending identical system prompts, tool specs, and context is expensive and slow.
Caching the static prefix can dramatically improve throughput for repeated requests.
The suggested prompt structure is: fixed system instructions first, then static context docs, and dynamic user input last.
Multi-agent setups can share cached context to reduce duplicate work.
The post claims well-structured prompts plus caching can reduce input token costs by 50%–90% on repeated patterns.

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