# OpenAI 增强 GPT-6 提示词缓存可靠性与可控性

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-09-23 07:33
- AIHOT 分数：53
- AIHOT 链接：https://aihot.news/items/cmudbhd2b04fdroggn32l8x0w
- 原文链接：https://x.com/rohanpaul_ai/status/2102541845679255986

## AI 摘要

OpenAI 为 GPT-6 的提示词缓存带来更高命中率、诊断工具、断点、预热和保留缓存的推理变更。缓存复用可将缓存输入 token 成本降低最多 90%，新仪表盘展示缓存命中率及缓存与未缓存 token 量。作者指出高命中率仍是应用设计问题，开发者需让长时运行智能体的稳定指令和工具保持可复用。

## 正文

OpenAI is making GPT-6 prompt caching more reliable and controllable, adding higher hit rates, diagnostics, breakpoints, prewarming, and cache-preserving reasoning changes.

Long-running agents often resend instructions, tool definitions, and earlier context, so caching avoids recomputing those prefixes across successive API calls.

That reuse can cut cached-input token costs by up to 90%, while a new dashboard exposes cache-hit rates and cached versus uncached token volume.

ofcourse, a high cache hit rate is still remains partly an application-design problem. because GPT-6’s improved caching alone doesn’t guarantee good economics; developers still need to structure long-running agents so stable instructions and tools remain reusable.