Imagine repeating the same backstory to a coworker every single morning, just so they remember what you were working on yesterday.
That's basically what was happening under the hood with long-running AI agents. Every new request re-sent the same instructions, tool definitions, and context from earlier turns.
More repeated context meant more compute burned recomputing things the model had already seen.
OpenAI just fixed that for GPT-6 with a major upgrade to prompt caching.
The system now reuses shared context across requests instead of recalculating it every single time.
The payoff: noticeably lower response times, plus discounts of up to 90% on cached input tokens.
Persistent agents that grind for hours on complex tasks, refactoring codebases, writing research reports, building presentations, just got dramatically faster and cheaper.
No code changes needed. Just a quieter, smarter model underneath doing a lot less repeated work.
🔗 Original Source & Reference: https://openai.com/index/better-prompt-caching-for-gpt-6
Published automatically via FeedMind AI Content Pipeline.
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