中文:
⚠️ 请注意!此次重构包含以下破坏性更新:
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翻译引擎只支持 DeepL 和 Openai 兼容接口,因此这次更新将只会保留 DeepL 的认证数据,并会将Moonshot AI、Together AI、OpenRouter AI、Groq 自动转换为 Openai 格式。
简而言之:如果当前您使用的翻译引擎不在上述所列,则将会被删除。 -
翻译缓存将不在以单词为单位,而是直接以文章为单位进行缓存
-
不再额外处理html格式问题,将会直接让 AI 模型自行处理,因此将会增加 token 的消耗
经测试,gpt-4.1-nano和claude等主流模型均能完美保持内容格式,
因此,如果出现翻译后的内容乱码问题,建议更换更好的模型或者换用 DeepL,DeepL官方可自动完美处理内容格式 -
docker hub 镜像源更新为 versun/rsstranslator,请务必查看最新的 docker compose 文件以便后续更新
优化项:
优化添加流程和默认值设置,目前添加源只需输入源地址即可完成添加
优化更新频率选项
优化类别源的响应速度
显著降低内存和CPU的占用,日常使用内存在 200MB 左右
添加原始源的代理功能,可通过代理地址访问原始源
重构代码以方便他人开发贡献
English
⚠️ Please Note! This refactor includes the following breaking changes:
-
The translation engine now only supports DeepL and OpenAI-compatible interfaces. Therefore, this update will retain only DeepL authentication data, and Moonshot AI, Together AI, OpenRouter AI, and Groq will be automatically converted to OpenAI format.
In short: If your current translation engine is not listed above, it will be removed. -
Translation caching will no longer be done on a per-word basis but directly on a per-article basis.
-
HTML formatting will no longer be specially processed; instead, the AI models will handle it directly. This will increase token consumption.
Tests show that mainstream models such as GPT-4.1-nano and Claude can perfectly maintain content formatting.
Therefore, if you encounter garbled content after translation, it is recommended to switch to a better model or use DeepL, as DeepL officially handles content formatting perfectly and automatically. -
The Docker Hub image source has been updated to versun/rsstranslator. Please be sure to check the latest docker compose file for future updates.
Improvements:
- Optimized the adding process and default value settings; now you only need to input the source URL to add a source.
- Optimized update frequency options.
- Improved response speed for category sources.
- Significantly reduced memory and CPU usage; typical memory usage is around 200MB.
- Added proxy functionality for original sources, allowing access to original sources through a proxy address.
- Refactored code to facilitate contributions and development by others.