Monitor prompt caching to optimize your token usage

As LLM system prompts increasingly dominate input token volume, organizations face rising costs and latency bottlenecks due to repetitive context engineering. This article explains how prompt caching can mitigate these issues by reusing the processed states of identical prefixes, recommending that developers use stable, well-structured prompts and strategic breakpoints to separate static context from dynamic inputs.