OpenRouter 支持 OpenAI 增量 diff 流式输出,其他模型返回完整补丁

OpenAI models stream the diff incrementally via delta events. All other models return the complete p...

精选理由

做实时协作或流式内容更新的开发者,现在可以用 OpenAI 模型获得增量 diff,减少带宽和延迟,建议试试 OpenRouter 的 engine 参数。

AI 摘要

OpenRouter 宣布支持 OpenAI 模型的增量 diff 流式输出,通过 delta 事件逐步传输差异,而其他模型则返回完整补丁。用户可通过 `engine` 参数(auto、native、openrouter)控制行为。该功能让应用接收干净的结构化补丁并应用,下一轮交互时报告结果。这提升了流式输出的效率和实时性,尤其适合需要持续更新内容的场景。

原文 · OpenRouter

OpenAI models stream the diff incrementally via delta events. All other models return the complete p...

OpenAI models stream the diff incrementally via delta events. All other models return the complete patch as a single output. You can control the behavior with the `engine` parameter: auto (default), native, or openrouter Your app receives a clean, structured patch to apply, and reports back on the next turn. Docs: openrouter.ai/docs/guides/fe… 💬 0 🔄 0 ❤️ 6 👀 1075 📊 1 ⚡