GPT-5.5 提示指南
OpenAI 官方明确说 GPT-5.5 不能当 drop-in replacement,prompt 要从零重写。做产品的人别偷懒直接换模型名,先读这份指南再动手,省得上线翻车。
OpenAI 针对新发布的 GPT-5.5 API 模型发布了详细的提示指南。核心建议包括:在处理多步骤任务时,应在调用工具前先向用户发送简短的状态更新,以提升交互体验。官方强调 GPT-5.5 应被视为一个需要重新调优的新模型系列,而非 GPT-5.2 或 GPT-5.4 的直接替代品,建议从零开始构建提示,而非沿用旧有提示。开发者可通过 `openai-docs` 技能使用 `$openai-docs migrate this project to gpt-5.5` 命令来辅助代码迁移,官方升级指南中还包含了轻量的提示词改写建议。
25th April 2026 - Link Blog
GPT-5.5 prompting guide. Now that GPT-5.5 is available in the API, OpenAI have released a wealth of useful tips on how best to prompt the new model.
Here's a neat trick they recommend for applications that might spend considerable time thinking before returning a user-visible response:
Before any tool calls for a multi-step task, send a short user-visible update that acknowledges the request and states the first step. Keep it to one or two sentences.
I've already noticed their Codex app doing this, and it does make longer running tasks feel less like the model has crashed.
OpenAI suggest running the following in Codex to upgrade your existing code using advice embedded in their openai-docs skill:
$openai-docs migrate this project to gpt-5.5
The upgrade guide the coding agent will follow is this one, which even includes light instructions on how to rewrite prompts to better fit the model.
Also relevant is the Using GPT-5.5 guide, which opens with this warning:
To get the most out of GPT-5.5, treat it as a new model family to tune for, not a drop-in replacement for
gpt-5.2orgpt-5.4. Begin migration with a fresh baseline instead of carrying over every instruction from an older prompt stack. Start with the smallest prompt that preserves the product contract, then tune reasoning effort, verbosity, tool descriptions, and output format against representative examples.
Interesting to see OpenAI recommend starting from scratch rather than trusting that existing prompts optimized for previous models will continue to work effectively with GPT-5.5.
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This is a link post by Simon Willison, posted on 25th April 2026.
ai 2,073 openai 423 prompt-engineering 190 generative-ai 1,830 llms 1,798 codex 51 gpt 124Monthly briefing
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