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你好，我正在为我的未来 OF for GH 服务开发一个入职流程。我认为，如果用户在 AI 聊天的帮助下丰富他们的入职回答，将有助于提高入职回答的质量。但 AI 聊天并未集成到网页应用的其他部分，这意味着我必须为入职单独构建整个聊天界面——这似乎是一个巨大的时间浪费。我在想，是否可以允许用户将代理/系统提示复制到他们选择的 LLM 聊天应用中，然后在代理确认其质量足够后再完成入职。此时我惊讶地发现，似乎没有类似 `mailto://` 的 URI 方案用于 LLM，至少我不知道有。我想到了类似这样的方案： ``` llm://[min-model-generation]?subject=....&prompt=......&schema=[base64 编码的 schema 输出] ``` 例如： ``` # 完整链接示例见链接的 gist [0] llm://>2024?subject=Yocto.is%20Onboarding%20Helper%20Agent&prompt=... ``` 第一部分可以选择特定的模型，例如： ``` # 特定模型 llm://gemini-2.5-pro?... # 特定提供者，最小模型 llm://>=gemini-2.5-pro?... # 特定提供者，大于模型 llm://>gemini-2.5-pro?... ``` 谢谢。等等。 [0]: https://gist.github.com/smashah/f6192d7af114ca059b3a47b33ec1df18

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Hello,I'm developing an onboarding flow for my future OF for GH service, I think it would help with the quality of onboarding answers if users fleshed out their onboarding responses with the help of an AI chat. But AI chat is not integrated in any other part of the webapp which means I have to build out this whole chat interface just for onboarding - seems like a massive waste of time.I was thinking instead allowing the users to copy over the agent/system prompt to their LLM chat app of choice and then just complete the onboarding once the agent determines its of sufficient quality.At this point I was surprised to learn that there is no `mailto://` type URI scheme for llms. Or at least not that I know of.I was thinking something like this:``` llm://[min-model-generation]?subject=....&prompt=......&schema=[base64 encoded schema output] ```e.g``` # full link example is in the linked gist [0] llm://>2024?subject=Yocto.is%20Onboarding%20Helper%20Agent&prompt=... ```the first part can select a specific model as welle.g``` # Specific model llm://gemini-2.5-pro?... # Specific provider, min model llm://>=gemini-2.5-pro?... # Specific provider, gt model llm://>gemini-2.5-pro?... ```Thanksetc.[0]: https://gist.github.com/smashah/f6192d7af114ca059b3a47b33ec1df18

请问HN：有没有任何AI聊天应用实现LLM URI方案？