功能: 解锁 AI 模型配置 (FAST_MODEL & SMART_MODEL)#23
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Vanilla-Yukirin wants to merge 2 commits intowendy7756:mainfrom
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功能: 解锁 AI 模型配置 (FAST_MODEL & SMART_MODEL)#23Vanilla-Yukirin wants to merge 2 commits intowendy7756:mainfrom
Vanilla-Yukirin wants to merge 2 commits intowendy7756:mainfrom
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默认模型（3-turbo&4o）保持不变，不影响原有功能。
更新 README.md 和 README_ZH.md，以反映用于 AI 模型选择的 新环境变量： - 将 FAST_MODEL 和 SMART_MODEL 添加到“环境变量”表格中 - 将它们包含在“快速开始”的配置示例中 - 在“功能特性”中添加了关于可配置AI模型的新条目 - 新增一个 FAQ 条目，解释如何使用这些变量
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你好，@wendy7756
我在使用时发现，
summarizer.py中的 AI 模型（gpt-3.5-turbo 和 gpt-4o）是硬编码的。这对于想使用自定义模型的用户来说不太方便。为了解决这个问题，我进行了一个非常小的修改，但它能带来极其强大的灵活性。
核心改动
FAST_MODEL：用于格式化、改错别字等“体力活”。SMART_MODEL：用于摘要、整合、翻译等“脑力活”。__init__.py中添加了默认值。FAST_MODEL默认为gpt-3.5-turboSMART_MODEL默认为gpt-4o一些优点
100% 向后兼容：
对于所有现有用户，如果他们不设置这两个新变量，程序将100% 照常运行，使用的模型和现在完全一样。这个修改对老用户零影响，绝对安全。
极大的灵活性（“强大的地方”）：
对于高级用户，他们现在可以随意替换任何他们想用的模型！比如：
FAST_MODEL=GLM-4.5-FlashSMART_MODEL=GLM-4.5-Airllama,claude等任何兼容 OpenAI 接口的模型。这使得项目瞬间从“只能用 OpenAI” 升级为 “适配所有主流 AI 模型”，并且还能让用户在成本和质量之间找到自己的完美平衡点。
我还相应地更新了
README.md和README_ZH.md，在功能特性、配置表格和 FAQ 部分都添加了对这两个新变量的说明。这是一个极小（只改了几行代码）但能带来巨大价值的升级，我强力推荐你合并这个 PR
感谢你的时间和审核！