如何使用阿里云的qwen3-max以及一些其他问题

[Moeus]

我想对项目进行修改并私有化部署，当前想用阿里云的qwen3-max跑通这个项目，模型服务由阿里云api提供，后续可能要用本地服务器的模型。目前配置了custom_model为qwen3-max，以及base_url和api-key，但是在浏览器运行时无法成功使用。
此外，第一次改这么大的项目，我想请问关于mask的设计，这个设计是为了什么。
关于聊天记录的存储，这个项目似乎是纯前端项目，用户与llm的聊天记录储存在哪？
如果我想引入rag，该怎么引入，求指导。

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Title: How to use Alibaba Cloud's qwen3-max and some other questions

I want to modify the project and deploy it privately. Currently, I want to use Alibaba Cloud's qwen3-max to run through this project. The model service is provided by Alibaba Cloud API. In the future, I may need to use the model of the local server. Currently, the custom_model is configured as qwen3-max, as well as base_url and api-key, but they cannot be used successfully when the browser is running.
In addition, this is the first time to change such a large project. I would like to ask about the design of the mask and what is the purpose of this design.
Regarding the storage of chat records, this project seems to be a pure front-end project. Where are the chat records between users and llm stored?
If I want to introduce rag, how should I introduce it? Please give me some guidance.

[ywgx]

我想对项目进行修改并私有化部署，当前想用阿里云的qwen3-max跑通这个项目，模型服务由阿里云api提供，后续可能要用本地服务器的模型。目前配置了custom_model为qwen3-max，以及base_url和api-key，但是在浏览器运行时无法成功使用。 此外，第一次改这么大的项目，我想请问关于mask的设计，这个设计是为了什么。 关于聊天记录的存储，这个项目似乎是纯前端项目，用户与llm的聊天记录储存在哪？ 如果我想引入rag，该怎么引入，求指导。

需要 https://xaixapi.com

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I want to modify the project and deploy it privately. Currently, I want to use Alibaba Cloud's qwen3-max to run through this project. The model service is provided by Alibaba Cloud API. In the future, I may need to use the model of the local server. Currently, the custom_model is configured as qwen3-max, as well as base_url and api-key, but they cannot be used successfully when the browser is running. In addition, this is the first time to change such a large project. I would like to ask about the design of the mask and what is the purpose of this design. Regarding the storage of chat records, this project seems to be a pure front-end project. Where are the chat records between users and llm stored? If I want to introduce rag, how should I introduce it? Please give me some guidance.

Requires https://xaixai.com

[Moeus]

您的意思是，需要部署xaixapi这个项目然后在这个项目内配置阿里云api然后才能在nextchat内调用阿里云的模型，是吗？>

我想对项目进行修改并私有化部署，当前想用阿里云的qwen3-max跑通这个项目，模型服务由阿里云api提供，后续可能要用本地服务器的模型。目前配置了custom_model为qwen3-max，以及base_url和api-key，但是在浏览器运行时无法成功使用。 此外，第一次改这么大的项目，我想请问关于mask的设计，这个设计是为了什么。 关于聊天记录的存储，这个项目似乎是纯前端项目，用户与llm的聊天记录储存在哪？ 如果我想引入rag，该怎么引入，求指导。

需要 https://xaixapi.com

[Issues-translate-bot]

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What you mean is that you need to deploy the xaixapi project and then configure the Alibaba Cloud API in this project before you can call the Alibaba Cloud model in nextchat, right? >

I want to modify the project and deploy it privately. Currently, I want to use Alibaba Cloud's qwen3-max to run through this project. The model service is provided by Alibaba Cloud API. In the future, I may need to use the model of the local server. Currently, the custom_model is configured as qwen3-max, as well as base_url and api-key, but they cannot be used successfully when the browser is running. In addition, this is the first time to change such a large project. I would like to ask about the design of the mask and what is the purpose of this design. Regarding the storage of chat records, this project seems to be a pure front-end project. Where are the chat records between users and llm stored? If I want to introduce rag, how should I introduce it? Please give me some guidance.

Requires https://xaixapi.com

[QAbot-zh]

我想对项目进行修改并私有化部署，当前想用阿里云的qwen3-max跑通这个项目，模型服务由阿里云api提供，后续可能要用本地服务器的模型。目前配置了custom_model为qwen3-max，以及base_url和api-key，但是在浏览器运行时无法成功使用。 此外，第一次改这么大的项目，我想请问关于mask的设计，这个设计是为了什么。 关于聊天记录的存储，这个项目似乎是纯前端项目，用户与llm的聊天记录储存在哪？ 如果我想引入rag，该怎么引入，求指导。

没日志，无法判断哪里配置错了；
mask 就是内置提示词人设，提高可玩性；
是的，纯前端，聊天记录在浏览器 Localstorage；
纯前端其实不适合搞太臃肿的功能，没处理好的话容易数据丢失，关于 rag 以前倒是有人提过方案： #4237
楼上那个纯属广告引流

[Issues-translate-bot]

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I want to modify the project and deploy it privately. Currently, I want to use Alibaba Cloud's qwen3-max to run through this project. The model service is provided by Alibaba Cloud API. In the future, I may need to use the model of the local server. Currently, the custom_model is configured as qwen3-max, as well as base_url and api-key, but they cannot be used successfully when the browser is running. In addition, this is the first time to change such a large project. I would like to ask about the design of the mask and what is the purpose of this design. Regarding the storage of chat records, this project seems to be a pure front-end project. Where are the chat records between users and llm stored? If I want to introduce rag, how should I introduce it? Please give me some guidance.

Without logs, it is impossible to determine where the configuration is wrong;
Mask is a built-in prompt word character to improve playability;
Yes, pure front-end, chat records are in browser Localstorage;
Pure front-end is actually not suitable for overly bloated functions. If it is not handled well, it is easy to lose data. Regarding rag, someone has proposed a solution before: #4237
The one upstairs is purely for advertising.

[Moeus]

好吧。我目前的任务是制作某个领域的专家LLM，目前还在构思前后端。这个项目的ui画得很好看，各种按钮反馈和布局都很不错，我打算只参考参考ui的部分，再写个后端，这个项目的状态管理store写了几千行😱，新手第一次见这么大的项目，我还在自行解析各个组件。

我想对项目进行修改并私有化部署，当前想用阿里云的qwen3-max跑通这个项目，模型服务由阿里云api提供，后续可能要用本地服务器的模型。目前配置了custom_model为qwen3-max，以及base_url和api-key，但是在浏览器运行时无法成功使用。 此外，第一次改这么大的项目，我想请问关于mask的设计，这个设计是为了什么。 关于聊天记录的存储，这个项目似乎是纯前端项目，用户与llm的聊天记录储存在哪？ 如果我想引入rag，该怎么引入，求指导。

没日志，无法判断哪里配置错了；
mask 就是内置提示词人设，提高可玩性；
是的，纯前端，聊天记录在浏览器 Localstorage；
纯前端其实不适合搞太臃肿的功能，没处理好的话容易数据丢失，关于 rag 以前倒是有人提过方案： #4237
楼上那个纯属广告引流

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All right. My current task is to make an LLM that is an expert in a certain field, and I am still conceiving the front and back ends. The UI of this project is very beautiful, and the various button feedback and layout are very good. I plan to only refer to the reference UI part, and then write a backend. The state management store of this project has written thousands of lines😱. It is the first time for a novice to see such a large project, and I am still analyzing each component by myself.

I want to modify the project and deploy it privately. Currently, I want to use Alibaba Cloud's qwen3-max to run through this project. The model service is provided by Alibaba Cloud API. In the future, I may need to use the model of the local server. Currently, the custom_model is configured as qwen3-max, as well as base_url and api-key, but they cannot be used successfully when the browser is running. In addition, this is the first time to change such a large project. I would like to ask about the design of the mask and what is the purpose of this design. Regarding the storage of chat records, this project seems to be a pure front-end project. Where are the chat records between users and llm stored? If I want to introduce rag, how should I introduce it? Please give me some guidance.

Without logs, it is impossible to determine where the configuration is wrong;
Mask is a built-in prompt word character to improve playability;
Yes, pure front-end, chat records are in browser Localstorage;
Pure front-end is actually not suitable for overly bloated functions. If it is not handled well, it is easy to lose data. Regarding rag, someone has proposed a solution before: #4237
The one upstairs is purely for advertising.