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gpt-6THREAD

OpenAI shares prompt caching tuning tips for GPT-6

OpenAI offers three practical tips: set explicit cache breakpoints, adjust reasoning effort and tools while keeping cached context, and prewarm shared context.

OpenAI Developers
@OpenAIDevsArchived 2026.09.23Originally posted 2026.09.23
THREADPosted in 2 parts
  1. Tune caching for your application: – Choose which prompt prefixes to reuse with explicit cache breakpoints. – Adjust reasoning effort and tool availability while preserving cached context. – Prewarm shared context so responses start sooner. https://openai.com/index/better-prompt-caching-for-gpt-6/

  2. We’ve improved prompt caching in the API for GPT-6, helping agents run faster and cost less. Higher cache-hit rates by default mean more input tokens benefit from cached-input discounts of up to 90%.

OpenAI Developers @OpenAIDevsOriginally posted 2026.09.23
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x.com/openaidevs/status/2102506712590918001Archived 2026.09.23 10:30