AI summarized from verified sources
OpenAI Updates Guide on Optimizing Prompt Caching
Acceleration and cost savings become easier when reusing repeated instructions in API calls.
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Key Points
- 1Prefix matching is key to effective caching
- 2Automatically enabled for prompts over 1024 tokens
- 3Place fixed instructions upfront, variable info at the end
OpenAI has updated its guide explaining the mechanics and best practices for Prompt caching, which reuses common prompt prefixes to speed up responses. Placing fixed instructions at the start and variable content at the end improves cache hit rates. This quick optimization lowers latency and cost in apps that repeatedly use the same initial prompts.
Key point
OpenAI has updated its guide explaining the mechanics and best practices for Prompt caching, which reuses common prompt prefixes to speed up responses. Placing fixed instructions at the start and variable content at the end improves cache hit rates. This quick optimization lowers latency and cost in apps that repeatedly use the same initial prompts.
Impact
Acceleration and cost savings become easier when reusing repeated instructions in API calls. Key checks: Prefix matching is key to effective caching / Automatically enabled for prompts over 1024 tokens / Place fixed instructions upfront, variable info at the end.