chore(deps): bump zustand from 4.3.8 to 5.0.8

Bumps [zustand](https://github.com/pmndrs/zustand) from 4.3.8 to 5.0.8.
- [Release notes](https://github.com/pmndrs/zustand/releases)
- [Commits](https://github.com/pmndrs/zustand/compare/v4.3.8...v5.0.8)

---
updated-dependencies:
- dependency-name: zustand
  dependency-version: 5.0.8
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

.env.template

@@ -1,12 +1,20 @@
 # Your openai api key. (required)
 OPENAI_API_KEY=sk-xxxx
 
+# DeepSeek Api Key. (Optional)
+DEEPSEEK_API_KEY=
+
 # Access password, separated by comma. (optional)
 CODE=your-password
 
 # You can start service behind a proxy. (optional)
 PROXY_URL=http://localhost:7890
 
+# Enable MCP functionality (optional)
+# Default: Empty (disabled)
+# Set to "true" to enable MCP functionality
+ENABLE_MCP=
+
 # (optional)
 # Default: Empty
 # Google Gemini Pro API key, set if you want to use Google Gemini Pro API.
@@ -66,4 +74,16 @@ ANTHROPIC_API_VERSION=
 ANTHROPIC_URL=
 
 ### (optional)
-WHITE_WEBDEV_ENDPOINTS=
+WHITE_WEBDAV_ENDPOINTS=
+
+### siliconflow Api key (optional)
+SILICONFLOW_API_KEY=
+
+### siliconflow Api url (optional)
+SILICONFLOW_URL=
+
+### 302.AI Api key (optional)
+AI302_API_KEY=
+
+### 302.AI Api url (optional)
+AI302_URL=

.eslintignore

@@ -1 +1,3 @@
-public/serviceWorker.js
+public/serviceWorker.js
+app/mcp/mcp_config.json
+app/mcp/mcp_config.default.json

.github/workflows/deploy_preview.yml

@@ -3,9 +3,7 @@ name: VercelPreviewDeployment
 on:
   pull_request_target:
     types:
-      - opened
-      - synchronize
-      - reopened
+      - review_requested
 
 env:
   VERCEL_TEAM: ${{ secrets.VERCEL_TEAM }}

.github/workflows/test.yml

@@ -0,0 +1,39 @@
+name: Run Tests
+
+on:
+  push:
+    branches:
+      - main
+    tags:
+      - "!*"
+  pull_request:
+    types:
+      - review_requested
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+          cache: "yarn"
+
+      - name: Cache node_modules
+        uses: actions/cache@v4
+        with:
+          path: node_modules
+          key: ${{ runner.os }}-node_modules-${{ hashFiles('**/yarn.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-node_modules-
+
+      - name: Install dependencies
+        run: yarn install
+
+      - name: Run Jest tests
+        run: yarn test:ci

.gitignore

@@ -46,3 +46,6 @@ dev
 *.key.pub
 
 masks.json
+
+# mcp config
+app/mcp/mcp_config.json

Dockerfile

@@ -34,12 +34,16 @@ ENV PROXY_URL=""
 ENV OPENAI_API_KEY=""
 ENV GOOGLE_API_KEY=""
 ENV CODE=""
+ENV ENABLE_MCP=""
 
 COPY --from=builder /app/public ./public
 COPY --from=builder /app/.next/standalone ./
 COPY --from=builder /app/.next/static ./.next/static
 COPY --from=builder /app/.next/server ./.next/server
 
+RUN mkdir -p /app/app/mcp && chmod 777 /app/app/mcp
+COPY --from=builder /app/app/mcp/mcp_config.default.json /app/app/mcp/mcp_config.json
+
 EXPOSE 3000
 
 CMD if [ -n "$PROXY_URL" ]; then \

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023-2024 Zhang Yifei
+Copyright (c) 2023-2025 NextChat
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -1,42 +1,66 @@
 <div align="center">
 
-<a href='#企业版'>
-  <img src="./docs/images/ent.svg" alt="icon"/>
+<a href='https://nextchat.club'>
+  <img src="https://github.com/user-attachments/assets/83bdcc07-ae5e-4954-a53a-ac151ba6ccf3" width="1000" alt="icon"/>
 </a>
 
-<h1 align="center">NextChat (ChatGPT Next Web)</h1>
+<h1 align="center">NextChat</h1>
 
 English / [简体中文](./README_CN.md)
 
-One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4 & Gemini Pro support.
+<a href="https://trendshift.io/repositories/5973" target="_blank"><img src="https://trendshift.io/api/badge/repositories/5973" alt="ChatGPTNextWeb%2FChatGPT-Next-Web | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
-一键免费部署你的跨平台私人 ChatGPT 应用, 支持 GPT3, GPT4 & Gemini Pro 模型。
+✨ Light and Fast AI Assistant,with Claude, DeepSeek, GPT4 & Gemini Pro support.
 
+[![Saas][Saas-image]][saas-url]
 [![Web][Web-image]][web-url]
 [![Windows][Windows-image]][download-url]
 [![MacOS][MacOS-image]][download-url]
 [![Linux][Linux-image]][download-url]
 
-[Web App](https://app.nextchat.dev/) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Enterprise Edition](#enterprise-edition) / [Twitter](https://twitter.com/NextChatDev)
+[NextChatAI](https://nextchat.club?utm_source=readme) / [iOS APP](https://apps.apple.com/us/app/nextchat-ai/id6743085599) / [Web App Demo](https://app.nextchat.club) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Enterprise Edition](#enterprise-edition)
 
-[网页版](https://app.nextchat.dev/) / [客户端](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) / [反馈](https://github.com/Yidadaa/ChatGPT-Next-Web/issues)
-
-[web-url]: https://app.nextchat.dev/
+[saas-url]: https://nextchat.club?utm_source=readme
+[saas-image]: https://img.shields.io/badge/NextChat-Saas-green?logo=microsoftedge
+[web-url]: https://app.nextchat.club/
 [download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
 [Web-image]: https://img.shields.io/badge/Web-PWA-orange?logo=microsoftedge
 [Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
 [MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
 [Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
 
-[<img src="https://vercel.com/button" alt="Deploy on Zeabur" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA)  [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
+[<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://vercel.com/button" alt="Deploy on Vercel" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/ChatGPTNextWeb/NextChat)
 
-[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="60" width="288" >](https://monica.im/?utm=nxcrp)
+[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="50" width="" >](https://monica.im/?utm=nxcrp)
 
 </div>
 
+## ❤️ Sponsor AI API
+
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/a03edf82-2031-4f23-bdb8-bfc0bfd168a4" width="100%" alt="icon"/>
+</a>
+
+[302.AI](https://302.ai/) is a pay-as-you-go AI application platform that offers the most comprehensive AI APIs and online applications available.
+
+## 🥳 Cheer for NextChat iOS Version Online!
+
+> [👉 Click Here to Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
+
+> [❤️ Source Code Coming Soon](https://github.com/ChatGPTNextWeb/NextChat-iOS)
+
+![Github iOS Image](https://github.com/user-attachments/assets/e0aa334f-4c13-4dc9-8310-e3b09fa4b9f3)
+
+## 🫣 NextChat Support MCP !
+
+> Before build, please set env ENABLE_MCP=true
+
+<img src="https://github.com/user-attachments/assets/d8851f40-4e36-4335-b1a4-ec1e11488c7e"/>
+
 ## Enterprise Edition
 
 Meeting Your Company's Privatization and Customization Deployment Requirements:
+
 - **Brand Customization**: Tailored VI/UI to seamlessly align with your corporate brand image.
 - **Resource Integration**: Unified configuration and management of dozens of AI resources by company administrators, ready for use by team members.
 - **Permission Control**: Clearly defined member permissions, resource permissions, and knowledge base permissions, all controlled via a corporate-grade Admin Panel.
@@ -47,20 +71,11 @@ Meeting Your Company's Privatization and Customization Deployment Requirements:
 
 For enterprise inquiries, please contact: **business@nextchat.dev**
 
-## 企业版
+## Screenshots
 
-满足企业用户私有化部署和个性化定制需求：
-- **品牌定制**：企业量身定制 VI/UI，与企业品牌形象无缝契合
-- **资源集成**：由企业管理人员统一配置和管理数十种 AI 资源，团队成员开箱即用
-- **权限管理**：成员权限、资源权限、知识库权限层级分明，企业级 Admin Panel 统一控制
-- **知识接入**：企业内部知识库与 AI 能力相结合，比通用 AI 更贴近企业自身业务需求
-- **安全审计**：自动拦截敏感提问，支持追溯全部历史对话记录，让 AI 也能遵循企业信息安全规范
-- **私有部署**：企业级私有部署，支持各类主流私有云部署，确保数据安全和隐私保护
-- **持续更新**：提供多模态、智能体等前沿能力持续更新升级服务，常用常新、持续先进
+![Settings](./docs/images/settings.png)
 
-企业版咨询: **business@nextchat.dev**
-
-<img width="300" src="https://github.com/user-attachments/assets/3daeb7b6-ab63-4542-9141-2e4a12c80601">
+![More](./docs/images/more.png)
 
 ## Features
 
@@ -93,60 +108,23 @@ For enterprise inquiries, please contact: **business@nextchat.dev**
 - [x] Artifacts: Easily preview, copy and share generated content/webpages through a separate window [#5092](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/pull/5092)
 - [x] Plugins: support network search, calculator, any other apis etc. [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
   - [x] network search, calculator, any other apis etc. [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
+- [x] Supports Realtime Chat [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
 - [ ] local knowledge base
 
 ## What's New
 
+- 🚀 v2.15.8 Now supports Realtime Chat [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
+- 🚀 v2.15.4 The Application supports using Tauri fetch LLM API, MORE SECURITY! [#5379](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5379)
 - 🚀 v2.15.0 Now supports Plugins! Read this: [NextChat-Awesome-Plugins](https://github.com/ChatGPTNextWeb/NextChat-Awesome-Plugins)
-- 🚀 v2.14.0 Now supports  Artifacts & SD 
+- 🚀 v2.14.0 Now supports Artifacts & SD
 - 🚀 v2.10.1 support Google Gemini Pro model.
 - 🚀 v2.9.11 you can use azure endpoint now.
 - 🚀 v2.8 now we have a client that runs across all platforms!
 - 🚀 v2.7 let's share conversations as image, or share to ShareGPT!
 - 🚀 v2.0 is released, now you can create prompt templates, turn your ideas into reality! Read this: [ChatGPT Prompt Engineering Tips: Zero, One and Few Shot Prompting](https://www.allabtai.com/prompt-engineering-tips-zero-one-and-few-shot-prompting/).
 
-## 主要功能
-
-- 在 1 分钟内使用 Vercel **免费一键部署**
-- 提供体积极小（~5MB）的跨平台客户端（Linux/Windows/MacOS）, [下载地址](https://github.com/Yidadaa/ChatGPT-Next-Web/releases)
-- 完整的 Markdown 支持：LaTex 公式、Mermaid 流程图、代码高亮等等
-- 精心设计的 UI，响应式设计，支持深色模式，支持 PWA
-- 极快的首屏加载速度（~100kb），支持流式响应
-- 隐私安全，所有数据保存在用户浏览器本地
-- 预制角色功能（面具），方便地创建、分享和调试你的个性化对话
-- 海量的内置 prompt 列表，来自[中文](https://github.com/PlexPt/awesome-chatgpt-prompts-zh)和[英文](https://github.com/f/awesome-chatgpt-prompts)
-- 自动压缩上下文聊天记录，在节省 Token 的同时支持超长对话
-- 多国语言支持：English, 简体中文, 繁体中文, 日本語, Español, Italiano, Türkçe, Deutsch, Tiếng Việt, Русский, Čeština, 한국어, Indonesia
-- 拥有自己的域名？好上加好，绑定后即可在任何地方**无障碍**快速访问
-
-## 开发计划
-
-- [x] 为每个对话设置系统 Prompt [#138](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/138)
-- [x] 允许用户自行编辑内置 Prompt 列表
-- [x] 预制角色：使用预制角色快速定制新对话 [#993](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/993)
-- [x] 分享为图片，分享到 ShareGPT 链接 [#1741](https://github.com/Yidadaa/ChatGPT-Next-Web/pull/1741)
-- [x] 使用 tauri 打包桌面应用
-- [x] 支持自部署的大语言模型：开箱即用 [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) ，服务端部署 [LocalAI 项目](https://github.com/go-skynet/LocalAI) llama / gpt4all / rwkv / vicuna / koala / gpt4all-j / cerebras / falcon / dolly 等等，或者使用 [api-for-open-llm](https://github.com/xusenlinzy/api-for-open-llm)
-- [x] Artifacts: 通过独立窗口，轻松预览、复制和分享生成的内容/可交互网页 [#5092](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/pull/5092)
-- [x] 插件机制，支持`联网搜索`、`计算器`、调用其他平台 api [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
-   - [x] 支持联网搜索、计算器、调用其他平台 api [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
- - [ ] 本地知识库
-
-## 最新动态
-
-- 🚀 v2.15.0 现在支持插件功能了！了解更多：[NextChat-Awesome-Plugins](https://github.com/ChatGPTNextWeb/NextChat-Awesome-Plugins)
-- 🚀 v2.14.0 现在支持 Artifacts & SD 了。
-- 🚀 v2.10.1 现在支持 Gemini Pro 模型。
-- 🚀 v2.9.11 现在可以使用自定义 Azure 服务了。
-- 🚀 v2.8 发布了横跨 Linux/Windows/MacOS 的体积极小的客户端。
-- 🚀 v2.7 现在可以将会话分享为图片了，也可以分享到 ShareGPT 的在线链接。
-- 🚀 v2.0 已经发布，现在你可以使用面具功能快速创建预制对话了！ 了解更多： [ChatGPT 提示词高阶技能：零次、一次和少样本提示](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/138)。
-- 💡 想要更方便地随时随地使用本项目？可以试下这款桌面插件：https://github.com/mushan0x0/AI0x0.com
-
 ## Get Started
 
-> [简体中文 > 如何开始使用](./README_CN.md#开始使用)
-
 1. Get [OpenAI API Key](https://platform.openai.com/account/api-keys);
 2. Click
    [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FYidadaa%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=chatgpt-next-web&repository-name=ChatGPT-Next-Web), remember that `CODE` is your page password;
@@ -154,14 +132,10 @@ For enterprise inquiries, please contact: **business@nextchat.dev**
 
 ## FAQ
 
-[简体中文 > 常见问题](./docs/faq-cn.md)
-
 [English > FAQ](./docs/faq-en.md)
 
 ## Keep Updated
 
-> [简体中文 > 如何保持代码更新](./README_CN.md#保持更新)
-
 If you have deployed your own project with just one click following the steps above, you may encounter the issue of "Updates Available" constantly showing up. This is because Vercel will create a new project for you by default instead of forking this project, resulting in the inability to detect updates correctly.
 
 We recommend that you follow the steps below to re-deploy:
@@ -172,7 +146,7 @@ We recommend that you follow the steps below to re-deploy:
 
 ### Enable Automatic Updates
 
-> If you encounter a failure of Upstream Sync execution, please manually sync fork once.
+> If you encounter a failure of Upstream Sync execution, please [manually update code](./README.md#manually-updating-code).
 
 After forking the project, due to the limitations imposed by GitHub, you need to manually enable Workflows and Upstream Sync Action on the Actions page of the forked project. Once enabled, automatic updates will be scheduled every hour:
 
@@ -188,8 +162,6 @@ You can star or watch this project or follow author to get release notifications
 
 ## Access Password
 
-> [简体中文 > 如何增加访问密码](./README_CN.md#配置页面访问密码)
-
 This project provides limited access control. Please add an environment variable named `CODE` on the vercel environment variables page. The value should be passwords separated by comma like this:
 
 ```
@@ -200,8 +172,6 @@ After adding or modifying this environment variable, please redeploy the project
 
 ## Environment Variables
 
-> [简体中文 > 如何配置 api key、访问密码、接口代理](./README_CN.md#环境变量)
-
 ### `CODE` (optional)
 
 Access password, separated by comma.
@@ -296,6 +266,22 @@ iflytek Api Key.
 
 iflytek Api Secret.
 
+### `CHATGLM_API_KEY` (optional)
+
+ChatGLM Api Key.
+
+### `CHATGLM_URL` (optional)
+
+ChatGLM Api Url.
+
+### `DEEPSEEK_API_KEY` (optional)
+
+DeepSeek Api Key.
+
+### `DEEPSEEK_URL` (optional)
+
+DeepSeek Api Url.
+
 ### `HIDE_USER_API_KEY` (optional)
 
 > Default: Empty
@@ -329,22 +315,32 @@ To control custom models, use `+` to add a custom model, use `-` to hide a model
 
 User `-all` to disable all default models, `+all` to enable all default models.
 
-For Azure: use `modelName@azure=deploymentName` to customize model name and deployment name.
-> Example: `+gpt-3.5-turbo@azure=gpt35` will show option `gpt35(Azure)` in model list.
-> If you only can use Azure model, `-all,+gpt-3.5-turbo@azure=gpt35` will `gpt35(Azure)` the only option in model list.
+For Azure: use `modelName@Azure=deploymentName` to customize model name and deployment name.
+
+> Example: `+gpt-3.5-turbo@Azure=gpt35` will show option `gpt35(Azure)` in model list.
+> If you only can use Azure model, `-all,+gpt-3.5-turbo@Azure=gpt35` will `gpt35(Azure)` the only option in model list.
 
 For ByteDance: use `modelName@bytedance=deploymentName` to customize model name and deployment name.
+
 > Example: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx` will show option `Doubao-lite-4k(ByteDance)` in model list.
 
 ### `DEFAULT_MODEL` （optional）
 
 Change default model
 
-### `WHITE_WEBDEV_ENDPOINTS` (optional)
+### `VISION_MODELS` (optional)
+
+> Default: Empty
+> Example: `gpt-4-vision,claude-3-opus,my-custom-model` means add vision capabilities to these models in addition to the default pattern matches (which detect models containing keywords like "vision", "claude-3", "gemini-1.5", etc).
+
+Add additional models to have vision capabilities, beyond the default pattern matching. Multiple models should be separated by commas.
+
+### `WHITE_WEBDAV_ENDPOINTS` (optional)
 
 You can use this option if you want to increase the number of webdav service addresses you are allowed to access, as required by the format：
-- Each address must be a complete endpoint 
-> `https://xxxx/yyy`
+
+- Each address must be a complete endpoint
+  > `https://xxxx/yyy`
 - Multiple addresses are connected by ', '
 
 ### `DEFAULT_INPUT_TEMPLATE` (optional)
@@ -359,14 +355,32 @@ Stability API key.
 
 Customize Stability API url.
 
+### `ENABLE_MCP` (optional)
+
+Enable MCP（Model Context Protocol）Feature
+
+### `SILICONFLOW_API_KEY` (optional)
+
+SiliconFlow API Key.
+
+### `SILICONFLOW_URL` (optional)
+
+SiliconFlow API URL.
+
+### `AI302_API_KEY` (optional)
+
+302.AI API Key.
+
+### `AI302_URL` (optional)
+
+302.AI API URL.
+
 ## Requirements
 
 NodeJS >= 18, Docker >= 20
 
 ## Development
 
-> [简体中文 > 如何进行二次开发](./README_CN.md#开发)
-
 [![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
 
 Before starting development, you must create a new `.env.local` file at project root, and place your api key into it:
@@ -390,8 +404,6 @@ yarn dev
 
 ## Deployment
 
-> [简体中文 > 如何部署到私人服务器](./README_CN.md#部署)
-
 ### Docker (Recommended)
 
 ```shell
@@ -419,6 +431,16 @@ If your proxy needs password, use:
 -e PROXY_URL="http://127.0.0.1:7890 user pass"
 ```
 
+If enable MCP, use：
+
+```
+docker run -d -p 3000:3000 \
+   -e OPENAI_API_KEY=sk-xxxx \
+   -e CODE=your-password \
+   -e ENABLE_MCP=true \
+   yidadaa/chatgpt-next-web
+```
+
 ### Shell
 
 ```shell
@@ -439,12 +461,6 @@ bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/s
 - [How to use Vercel (No English)](./docs/vercel-cn.md)
 - [User Manual (Only Chinese, WIP)](./docs/user-manual-cn.md)
 
-## Screenshots
-
-![Settings](./docs/images/settings.png)
-
-![More](./docs/images/more.png)
-
 ## Translation
 
 If you want to add a new translation, read this [document](./docs/translation.md).
@@ -455,38 +471,6 @@ If you want to add a new translation, read this [document](./docs/translation.md
 
 ## Special Thanks
 
-### Sponsor
-
-> 仅列出捐赠金额 >= 100RMB 的用户。
-
-[@mushan0x0](https://github.com/mushan0x0)
-[@ClarenceDan](https://github.com/ClarenceDan)
-[@zhangjia](https://github.com/zhangjia)
-[@hoochanlon](https://github.com/hoochanlon)
-[@relativequantum](https://github.com/relativequantum)
-[@desenmeng](https://github.com/desenmeng)
-[@webees](https://github.com/webees)
-[@chazzhou](https://github.com/chazzhou)
-[@hauy](https://github.com/hauy)
-[@Corwin006](https://github.com/Corwin006)
-[@yankunsong](https://github.com/yankunsong)
-[@ypwhs](https://github.com/ypwhs)
-[@fxxxchao](https://github.com/fxxxchao)
-[@hotic](https://github.com/hotic)
-[@WingCH](https://github.com/WingCH)
-[@jtung4](https://github.com/jtung4)
-[@micozhu](https://github.com/micozhu)
-[@jhansion](https://github.com/jhansion)
-[@Sha1rholder](https://github.com/Sha1rholder)
-[@AnsonHyq](https://github.com/AnsonHyq)
-[@synwith](https://github.com/synwith)
-[@piksonGit](https://github.com/piksonGit)
-[@ouyangzhiping](https://github.com/ouyangzhiping)
-[@wenjiavv](https://github.com/wenjiavv)
-[@LeXwDeX](https://github.com/LeXwDeX)
-[@Licoy](https://github.com/Licoy)
-[@shangmin2009](https://github.com/shangmin2009)
-
 ### Contributors
 
 <a href="https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/graphs/contributors">

README_CN.md

@@ -6,17 +6,26 @@
 
 <h1 align="center">NextChat</h1>
 
-一键免费部署你的私人 ChatGPT 网页应用，支持 GPT3, GPT4 & Gemini Pro 模型。
+一键免费部署你的私人 ChatGPT 网页应用，支持 Claude, GPT4 & Gemini Pro 模型。
 
-[企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) /[演示 Demo](https://chat-gpt-next-web.vercel.app/) / [反馈 Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [加入 Discord](https://discord.gg/zrhvHCr79N)
+[NextChatAI](https://nextchat.club?utm_source=readme) / [企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) / [演示 Demo](https://chat-gpt-next-web.vercel.app/) / [反馈 Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [加入 Discord](https://discord.gg/zrhvHCr79N)
 
-[<img src="https://vercel.com/button" alt="Deploy on Zeabur" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA)  [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
+[<img src="https://vercel.com/button" alt="Deploy on Zeabur" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
 
 </div>
 
+## Sponsor AI API
+
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/d8c0c513-1e18-4d3b-a2a9-ff3696aec0d4" width="100%" alt="icon"/>
+</a>
+
+[302.AI](https://302.ai/) 是一个按需付费的AI应用平台，提供市面上最全的AI API和AI在线应用。
+
 ## 企业版
 
 满足您公司私有化部署和定制需求
+
 - **品牌定制**：企业量身定制 VI/UI，与企业品牌形象无缝契合
 - **资源集成**：由企业管理人员统一配置和管理数十种 AI 资源，团队成员开箱即用
 - **权限管理**：成员权限、资源权限、知识库权限层级分明，企业级 Admin Panel 统一控制
@@ -27,7 +36,7 @@
 
 企业版咨询: **business@nextchat.dev**
 
-<img width="300" src="https://github.com/user-attachments/assets/3daeb7b6-ab63-4542-9141-2e4a12c80601">
+<img width="300" src="https://github.com/user-attachments/assets/bb29a11d-ff75-48a8-b1f8-d2d7238cf987">
 
 ## 开始使用
 
@@ -54,7 +63,7 @@
 
 ### 打开自动更新
 
-> 如果你遇到了 Upstream Sync 执行错误，请手动 Sync Fork 一次！
+> 如果你遇到了 Upstream Sync 执行错误，请[手动 Sync Fork 一次](./README_CN.md#手动更新代码)！
 
 当你 fork 项目之后，由于 Github 的限制，需要手动去你 fork 后的项目的 Actions 页面启用 Workflows，并启用 Upstream Sync Action，启用之后即可开启每小时定时自动更新：
 
@@ -88,7 +97,7 @@ code1,code2,code3
 
 ### `OPENAI_API_KEY` （必填项）
 
-OpanAI 密钥，你在 openai 账户页面申请的 api key，使用英文逗号隔开多个 key，这样可以随机轮询这些 key。
+OpenAI 密钥，你在 openai 账户页面申请的 api key，使用英文逗号隔开多个 key，这样可以随机轮询这些 key。
 
 ### `CODE` （可选）
 
@@ -184,7 +193,21 @@ ByteDance Api Url.
 
 讯飞星火Api Secret.
 
+### `CHATGLM_API_KEY` (可选)
 
+ChatGLM Api Key.
+
+### `CHATGLM_URL` (可选)
+
+ChatGLM Api Url.
+
+### `DEEPSEEK_API_KEY` (可选)
+
+DeepSeek Api Key.
+
+### `DEEPSEEK_URL` (可选)
+
+DeepSeek Api Url.
 
 ### `HIDE_USER_API_KEY` （可选）
 
@@ -202,11 +225,12 @@ ByteDance Api Url.
 
 如果你想禁用从链接解析预制设置，将此环境变量设置为 1 即可。
 
-### `WHITE_WEBDEV_ENDPOINTS` (可选)
+### `WHITE_WEBDAV_ENDPOINTS` (可选)
 
 如果你想增加允许访问的webdav服务地址，可以使用该选项，格式要求：
+
 - 每一个地址必须是一个完整的 endpoint
-> `https://xxxx/xxx`
+  > `https://xxxx/xxx`
 - 多个地址以`,`相连
 
 ### `CUSTOM_MODELS` （可选）
@@ -216,18 +240,26 @@ ByteDance Api Url.
 
 用来控制模型列表，使用 `+` 增加一个模型，使用 `-` 来隐藏一个模型，使用 `模型名=展示名` 来自定义模型的展示名，用英文逗号隔开。
 
-在Azure的模式下，支持使用`modelName@azure=deploymentName`的方式配置模型名称和部署名称(deploy-name)
-> 示例：`+gpt-3.5-turbo@azure=gpt35`这个配置会在模型列表显示一个`gpt35(Azure)`的选项。
-> 如果你只能使用Azure模式，那么设置 `-all,+gpt-3.5-turbo@azure=gpt35` 则可以让对话的默认使用 `gpt35(Azure)`
+在Azure的模式下，支持使用`modelName@Azure=deploymentName`的方式配置模型名称和部署名称(deploy-name)
+
+> 示例：`+gpt-3.5-turbo@Azure=gpt35`这个配置会在模型列表显示一个`gpt35(Azure)`的选项。
+> 如果你只能使用Azure模式，那么设置 `-all,+gpt-3.5-turbo@Azure=gpt35` 则可以让对话的默认使用 `gpt35(Azure)`
 
 在ByteDance的模式下，支持使用`modelName@bytedance=deploymentName`的方式配置模型名称和部署名称(deploy-name)
-> 示例: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx`这个配置会在模型列表显示一个`Doubao-lite-4k(ByteDance)`的选项
 
+> 示例: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx`这个配置会在模型列表显示一个`Doubao-lite-4k(ByteDance)`的选项
 
 ### `DEFAULT_MODEL` （可选）
 
 更改默认模型
 
+### `VISION_MODELS` (可选)
+
+> 默认值：空
+> 示例：`gpt-4-vision,claude-3-opus,my-custom-model` 表示为这些模型添加视觉能力，作为对默认模式匹配的补充（默认会检测包含"vision"、"claude-3"、"gemini-1.5"等关键词的模型）。
+
+在默认模式匹配之外，添加更多具有视觉能力的模型。多个模型用逗号分隔。
+
 ### `DEFAULT_INPUT_TEMPLATE` （可选）
 
 自定义默认的 template，用于初始化『设置』中的『用户输入预处理』配置项
@@ -240,6 +272,25 @@ Stability API密钥
 
 自定义的Stability API请求地址
 
+### `ENABLE_MCP` (optional)
+
+启用MCP（Model Context Protocol）功能
+
+### `SILICONFLOW_API_KEY` (optional)
+
+SiliconFlow API Key.
+
+### `SILICONFLOW_URL` (optional)
+
+SiliconFlow API URL.
+
+### `AI302_API_KEY` (optional)
+
+302.AI API Key.
+
+### `AI302_URL` (optional)
+
+302.AI API URL.
 
 ## 开发
 
@@ -264,6 +315,10 @@ BASE_URL=https://b.nextweb.fun/api/proxy
 
 ## 部署
 
+### 宝塔面板部署
+
+> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
+
 ### 容器部署 （推荐）
 
 > Docker 版本需要在 20 及其以上，否则会提示找不到镜像。
@@ -290,6 +345,16 @@ docker run -d -p 3000:3000 \
    yidadaa/chatgpt-next-web
 ```
 
+如需启用 MCP 功能，可以使用：
+
+```shell
+docker run -d -p 3000:3000 \
+   -e OPENAI_API_KEY=sk-xxxx \
+   -e CODE=页面访问密码 \
+   -e ENABLE_MCP=true \
+   yidadaa/chatgpt-next-web
+```
+
 如果你的本地代理需要账号密码，可以使用：
 
 ```shell

README_JA.md

@@ -5,16 +5,24 @@
 
 ワンクリックで無料であなた専用の ChatGPT ウェブアプリをデプロイ。GPT3、GPT4 & Gemini Pro モデルをサポート。
 
-[企業版](#企業版) / [デモ](https://chat-gpt-next-web.vercel.app/) / [フィードバック](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [Discordに参加](https://discord.gg/zrhvHCr79N)
-
-[<img src="https://vercel.com/button" alt="Zeaburでデプロイ" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Zeaburでデプロイ" height="30">](https://zeabur.com/templates/ZBUEFA)  [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Gitpodで開く" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
+[NextChatAI](https://nextchat.club?utm_source=readme) / [企業版](#企業版) / [デモ](https://chat-gpt-next-web.vercel.app/) / [フィードバック](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [Discordに参加](https://discord.gg/zrhvHCr79N)
 
+[<img src="https://vercel.com/button" alt="Zeaburでデプロイ" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Zeaburでデプロイ" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Gitpodで開く" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
 
 </div>
 
+## Sponsor AI API
+
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/6cf24233-1010-43e0-9a83-a11159866175" width="100%" alt="icon"/>
+</a>
+
+[302.AI](https://302.ai/) は、オンデマンドで支払うAIアプリケーションプラットフォームで、最も安全なAI APIとAIオンラインアプリケーションを提供します。
+
 ## 企業版
 
 あなたの会社のプライベートデプロイとカスタマイズのニーズに応える
+
 - **ブランドカスタマイズ**：企業向けに特別に設計された VI/UI、企業ブランドイメージとシームレスにマッチ
 - **リソース統合**：企業管理者が数十種類のAIリソースを統一管理、チームメンバーはすぐに使用可能
 - **権限管理**：メンバーの権限、リソースの権限、ナレッジベースの権限を明確にし、企業レベルのAdmin Panelで統一管理
@@ -25,7 +33,6 @@
 
 企業版のお問い合わせ: **business@nextchat.dev**
 
-
 ## 始めに
 
 1. [OpenAI API Key](https://platform.openai.com/account/api-keys)を準備する;
@@ -40,7 +47,6 @@
 
 </div>
 
-
 ## 更新を維持する
 
 もし上記の手順に従ってワンクリックでプロジェクトをデプロイした場合、「更新があります」というメッセージが常に表示されることがあります。これは、Vercel がデフォルトで新しいプロジェクトを作成するためで、本プロジェクトを fork していないことが原因です。そのため、正しく更新を検出できません。
@@ -51,10 +57,9 @@
 - ページ右上の fork ボタンを使って、本プロジェクトを fork する
 - Vercel で再度選択してデプロイする、[詳細な手順はこちらを参照してください](./docs/vercel-ja.md)。
 
-
 ### 自動更新を開く
 
-> Upstream Sync の実行エラーが発生した場合は、手動で Sync Fork してください！
+> Upstream Sync の実行エラーが発生した場合は、[手動で Sync Fork](./README_JA.md#手動でコードを更新する) してください！
 
 プロジェクトを fork した後、GitHub の制限により、fork 後のプロジェクトの Actions ページで Workflows を手動で有効にし、Upstream Sync Action を有効にする必要があります。有効化後、毎時の定期自動更新が可能になります：
 
@@ -62,15 +67,12 @@
 
 ![自動更新を有効にする](./docs/images/enable-actions-sync.jpg)
 
-
 ### 手動でコードを更新する
 
 手動で即座に更新したい場合は、[GitHub のドキュメント](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork)を参照して、fork したプロジェクトを上流のコードと同期する方法を確認してください。
 
 このプロジェクトをスターまたはウォッチしたり、作者をフォローすることで、新機能の更新通知をすぐに受け取ることができます。
 
-
-
 ## ページアクセスパスワードを設定する
 
 > パスワードを設定すると、ユーザーは設定ページでアクセスコードを手動で入力しない限り、通常のチャットができず、未承認の状態であることを示すメッセージが表示されます。
@@ -85,7 +87,6 @@ code1,code2,code3
 
 この環境変数を追加または変更した後、**プロジェクトを再デプロイ**して変更を有効にしてください。
 
-
 ## 環境変数
 
 > 本プロジェクトのほとんどの設定は環境変数で行います。チュートリアル：[Vercel の環境変数を変更する方法](./docs/vercel-ja.md)。
@@ -193,11 +194,12 @@ ByteDance API の URL。
 
 リンクからのプリセット設定解析を無効にしたい場合は、この環境変数を 1 に設定します。
 
-### `WHITE_WEBDEV_ENDPOINTS` (オプション)
+### `WHITE_WEBDAV_ENDPOINTS` (オプション)
 
 アクセス許可を与える WebDAV サービスのアドレスを追加したい場合、このオプションを使用します。フォーマット要件：
+
 - 各アドレスは完全なエンドポイントでなければなりません。
-> `https://xxxx/xxx`
+  > `https://xxxx/xxx`
 - 複数のアドレスは `,` で接続します。
 
 ### `CUSTOM_MODELS` （オプション）
@@ -207,20 +209,36 @@ ByteDance API の URL。
 
 モデルリストを管理します。`+` でモデルを追加し、`-` でモデルを非表示にし、`モデル名=表示名` でモデルの表示名をカスタマイズし、カンマで区切ります。
 
-Azure モードでは、`modelName@azure=deploymentName` 形式でモデル名とデプロイ名（deploy-name）を設定できます。
-> 例：`+gpt-3.5-turbo@azure=gpt35` この設定でモデルリストに `gpt35(Azure)` のオプションが表示されます。
+Azure モードでは、`modelName@Azure=deploymentName` 形式でモデル名とデプロイ名（deploy-name）を設定できます。
+
+> 例：`+gpt-3.5-turbo@Azure=gpt35` この設定でモデルリストに `gpt35(Azure)` のオプションが表示されます。
 
 ByteDance モードでは、`modelName@bytedance=deploymentName` 形式でモデル名とデプロイ名（deploy-name）を設定できます。
+
 > 例: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx` この設定でモデルリストに `Doubao-lite-4k(ByteDance)` のオプションが表示されます。
 
 ### `DEFAULT_MODEL` （オプション）
 
 デフォルトのモデルを変更します。
 
+### `VISION_MODELS` (オプション)
+
+> デフォルト：空
+> 例：`gpt-4-vision,claude-3-opus,my-custom-model` は、これらのモデルにビジョン機能を追加します。これはデフォルトのパターンマッチング（"vision"、"claude-3"、"gemini-1.5"などのキーワードを含むモデルを検出）に加えて適用されます。
+
+デフォルトのパターンマッチングに加えて、追加のモデルにビジョン機能を付与します。複数のモデルはカンマで区切ります。
+
 ### `DEFAULT_INPUT_TEMPLATE` （オプション）
 
 『設定』の『ユーザー入力前処理』の初期設定に使用するテンプレートをカスタマイズします。
 
+### `AI302_API_KEY` （オプション）
+
+302.AI API キー.
+
+### `AI302_URL` （オプション）
+
+302.AI API の URL.
 
 ## 開発
 
@@ -234,14 +252,12 @@ ByteDance モードでは、`modelName@bytedance=deploymentName` 形式でモデ
 OPENAI_API_KEY=<your api key here>
 ```
 
-
 ### ローカル開発
 
 1. Node.js 18 と Yarn をインストールします。具体的な方法は ChatGPT にお尋ねください。
 2. `yarn install && yarn dev` を実行します。⚠️ 注意：このコマンドはローカル開発用であり、デプロイには使用しないでください。
 3. ローカルでデプロイしたい場合は、`yarn install && yarn build && yarn start` コマンドを使用してください。プロセスを守るために pm2 を使用することもできます。詳細は ChatGPT にお尋ねください。
 
-
 ## デプロイ
 
 ### コンテナデプロイ（推奨）
@@ -278,7 +294,6 @@ docker run -d -p 3000:3000 \
 
 他の環境変数を指定する必要がある場合は、上記のコマンドに `-e 環境変数=環境変数値` を追加して指定してください。
 
-
 ### ローカルデプロイ
 
 コンソールで以下のコマンドを実行します：
@@ -289,7 +304,6 @@ bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/s
 
 ⚠️ 注意：インストール中に問題が発生した場合は、Docker を使用してデプロイしてください。
 
-
 ## 謝辞
 
 ### 寄付者
@@ -304,7 +318,6 @@ bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/s
 
 - [one-api](https://github.com/songquanpeng/one-api): 一つのプラットフォームで大規模モデルのクォータ管理を提供し、市場に出回っているすべての主要な大規模言語モデルをサポートします。
 
-
 ## オープンソースライセンス
 
 [MIT](https://opensource.org/license/mit/)

README_KO.md

@@ -0,0 +1,492 @@
+<div align="center">
+
+<a href='https://nextchat.club'>
+  <img src="https://github.com/user-attachments/assets/83bdcc07-ae5e-4954-a53a-ac151ba6ccf3" width="1000" alt="icon"/>
+</a>
+
+<h1 align="center">NextChat</h1>
+
+영어 / [简体中文](./README_CN.md)
+
+<a href="https://trendshift.io/repositories/5973" target="_blank">
+  <img src="https://trendshift.io/api/badge/repositories/5973" alt="ChatGPTNextWeb%2FChatGPT-Next-Web | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
+</a>
+
+✨ 빠르고 가벼운 AI 어시스턴트, Claude, DeepSeek, GPT-4, Gemini Pro 지원
+
+[![Saas][Saas-image]][saas-url]
+[![Web][Web-image]][web-url]
+[![Windows][Windows-image]][download-url]
+[![MacOS][MacOS-image]][download-url]
+[![Linux][Linux-image]][download-url]
+
+[NextChatAI 웹사이트](https://nextchat.club?utm_source=readme) / [iOS 앱](https://apps.apple.com/us/app/nextchat-ai/id6743085599) / [웹 데모](https://app.nextchat.club) / [데스크톱 앱](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [엔터프라이즈 버전](#enterprise-edition)
+
+[saas-url]: https://nextchat.club?utm_source=readme
+[saas-image]: https://img.shields.io/badge/NextChat-Saas-green?logo=microsoftedge
+[web-url]: https://app.nextchat.club/
+[download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
+[Web-image]: https://img.shields.io/badge/Web-PWA-orange?logo=microsoftedge
+[Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
+[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
+[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
+
+[<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://vercel.com/button" alt="Deploy on Vercel" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/ChatGPTNextWeb/NextChat)
+
+[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="50" width="" >](https://monica.im/?utm=nxcrp)
+
+</div>
+
+## ❤️ AI API 후원사
+
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/a03edf82-2031-4f23-bdb8-bfc0bfd168a4" width="100%" alt="icon"/>
+</a>
+
+[302.AI](https://302.ai/)는 사용한 만큼만 비용을 지불하는 AI 애플리케이션 플랫폼으로, 다양한 AI API 및 온라인 애플리케이션을 제공합니다.
+
+## 🥳 NextChat iOS 버전 출시!
+
+> 👉 [지금 설치하기](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
+
+> ❤️ [소스 코드 곧 공개 예정](https://github.com/ChatGPTNextWeb/NextChat-iOS)
+
+![Github iOS Image](https://github.com/user-attachments/assets/e0aa334f-4c13-4dc9-8310-e3b09fa4b9f3)
+
+## 🫣 NextChat, MCP 지원!
+
+> 빌드 전 환경 변수(env) `ENABLE_MCP=true` 설정 필요
+
+<img src="https://github.com/user-attachments/assets/d8851f40-4e36-4335-b1a4-ec1e11488c7e" />
+
+## 엔터프라이즈 버전
+
+회사 내부 시스템에 맞춘 프라이빗 배포 및 맞춤형 커스터마이징 지원:
+
+- **브랜드 커스터마이징**: 기업 이미지에 맞는 UI/UX 테마 적용
+- **리소스 통합 관리**: 다양한 AI 모델을 통합하여 팀원이 손쉽게 사용 가능
+- **권한 제어**: 관리자 패널을 통한 멤버·리소스·지식 베이스 권한 설정
+- **지식 통합**: 사내 문서 및 데이터와 AI를 결합한 맞춤형 답변 제공
+- **보안 감사**: 민감한 질문 차단 및 모든 기록 추적 가능
+- **프라이빗 배포 지원**: 주요 클라우드 서비스에 맞춘 배포 옵션
+- **지속적 업데이트**: 멀티모달 등 최신 AI 기능 지속 반영
+
+엔터프라이즈 문의: **business@nextchat.dev**
+
+## 🖼️ 스크린샷
+
+![설정](./docs/images/settings.png)
+![기타](./docs/images/more.png)
+
+## 주요 기능 소개
+
+- Vercel에서 원클릭 무료 배포 (1분 내 완성)
+- 모든 OS(Linux/Windows/MacOS)에서 사용 가능한 클라이언트 (~5MB) [지금 다운 받기](https://github.com/Yidadaa/ChatGPT-Next-Web/releases)
+- 자체 LLM 서버와 완벽 호환. [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) 또는 [LocalAI](https://github.com/go-skynet/LocalAI)와 함께 사용하는 것을 추천
+- 개인 정보 보호: 모든 대화 기록은 브라우저에만 저장
+- Markdown 지원: LaTex, Mermaid, 코드 하이라이팅 등
+- 반응형 디자인, 다크 모드, PWA 지원
+- 빠른 초기 로딩 속도 (~100kb), 스트리밍 응답
+- 프롬프트 템플릿 생성/공유/디버깅 지원 (v2)
+- v2: 프롬프트 템플릿 기반 도구 생성, 공유, 디버깅 가능
+- 고급 프롬프트 내장 [awesome-chatgpt-prompts-zh](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) and [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts)
+- 긴 대화 내용 자동 압축 저장으로 토큰 절약
+- I18n: English, 简体中文, 繁体中文, 日本語, Français, Español, Italiano, Türkçe, Deutsch, Tiếng Việt, Русский, Čeština, 한국어, Indonesia
+
+<div align="center">
+   
+![主界面](./docs/images/cover.png)
+
+</div>
+
+## 개발 로드맵
+
+- [x] 시스템 프롬프트: 사용자가 정의한 프롬프트를 시스템 프롬프트로 고정하기 [#138](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/138)
+- [x] 사용자 프롬프트: 사용자 정의 프롬프트를 편집 및 저장하여 리스트로 관리 가능
+- [x] 프롬프트 템플릿: 사전 정의된 인컨텍스트 프롬프트로 새 채팅 생성 [#993](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/993)
+- [x] 이미지로 공유하거나 ShareGPT로 공유 [#1741](https://github.com/Yidadaa/ChatGPT-Next-Web/pull/1741)
+- [x] Tauri 기반 데스크톱 앱
+- [x] 자체 모델 호스팅: [RWKV-Runner](https://github.com/josStorer/RWKV-Runner), [LocalAI](https://github.com/go-skynet/LocalAI) 등 서버 배포 모델들과 완벽 호환 (llama, gpt4all, rwkv, vicuna, koala, gpt4all-j, cerebras, falcon, dolly 등)
+- [x] 아티팩트: 생성된 콘텐츠 및 웹페이지를 별도 창으로 미리보기, 복사, 공유 가능 [#5092](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/pull/5092)
+- [x] 플러그인: 웹 검색, 계산기, 기타 외부 API 기능 지원 [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
+- [x] 실시간 채팅 지원 [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
+- [ ] 로컬 지식 베이스 지원 예정
+
+## 🚀 최근 업데이트
+
+- 🚀 v2.15.8 실시간 채팅 지원 [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
+- 🚀 v2.15.4 Tauri 기반 LLM API 호출 기능 추가 → 보안 강화 [#5379](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5379)
+- 🚀 v2.15.0 플러그인 기능 추가 → [NextChat-Awesome-Plugins](https://github.com/ChatGPTNextWeb/NextChat-Awesome-Plugins)
+- 🚀 v2.14.0 아티팩트 및 Stable Diffusion 기능 추가
+- 🚀 v2.10.1 Google Gemini Pro 모델 지원
+- 🚀 v2.9.11 Azure Endpoint 사용 가능
+- 🚀 v2.8 모든 플랫폼에서 실행 가능한 클라이언트 출시
+- 🚀 v2.7 대화 내용을 이미지로, 또는 ShareGPT로 공유 가능
+- 🚀 v2.0 릴리즈: 프롬프트 템플릿 생성 및 아이디어 구현 가능! → [ChatGPT Prompt Engineering Tips](https://www.allabtai.com/prompt-engineering-tips-zero-one-and-few-shot-prompting/)
+
+## 시작하기
+
+1. [OpenAI API 키](https://platform.openai.com/account/api-keys)를 발급받습니다.
+2. 
+   [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FYidadaa%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=chatgpt-next-web&repository-name=ChatGPT-Next-Web) 버튼을 클릭해 Vercel에 배포합니다. `CODE`는 페이지 비밀번호라는 점을 기억하세요.
+
+3. Enjoy :)
+
+## FAQ
+
+[FAQ](./docs/faq-ko.md)
+
+## 최신 상태 유지 (Keep Updated)
+
+Vercel로 배포한 경우, "Updates Available" 메시지가 계속 나타날 수 있습니다. 이는 프로젝트를 포크하지 않고 새로 생성했기 때문입니다.
+
+다음 절차에 따라 다시 배포를 권장합니다:
+
+1. 기존 레포 삭제
+2. 우측 상단 "Fork" 버튼 클릭 → 포크 생성
+3. 포크된 프로젝트를 다시 Vercel에 배포  
+   → [자세한 튜토리얼 보기](./docs/vercel-ko.md)
+
+### 자동 업데이트 활성화 (Enable Automatic Updates)
+
+> Upstream Sync 오류 발생 시, [수동으로 코드 업데이트](./README_KO.md#manually-updating-code)하세요.
+
+프로젝트 포크 후에는 GitHub의 제약으로 인해 Actions 페이지에서 아래 항목들을 수동으로 활성화해야 합니다:
+
+- `Workflows`
+- `Upstream Sync Action`
+
+이후 매 시간 자동으로 업데이트됩니다:
+
+![자동 업데이트 활성화](./docs/images/enable-actions.jpg)  
+![업스트림 동기화 활성화](./docs/images/enable-actions-sync.jpg)
+
+### 수동 업데이트 방법 (Manually Updating Code)
+
+즉시 업데이트가 필요한 경우, [깃헙 문서](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork)를 참고해 포크된 프로젝트를 upstream code와 동기화하세요.
+
+릴리스 알림을 원하시면 star 또는 watch를 눌러주세요.
+
+## 접근 비밀번호 설정 (Access Password)
+
+이 프로젝트는 제한된 접근 제어를 제공합니다.  
+Vercel 환경 변수에 `CODE`를 다음 형식으로 추가하세요. value는 ,를 통해 구분된 비밀번호여야 합니다.:
+
+```
+code1,code2,code3
+```
+
+수정 후 반드시 다시 배포해야 적용됩니다.
+
+## 환경 변수 (Environment Variables)
+
+### `CODE` (선택 사항)
+
+접속 비밀번호. 쉼표로 구분합니다.
+
+### `OPENAI_API_KEY` (필수)
+
+당신의 OpenAI API 키, 여러 개를 사용하려면 쉼표로 연결합니다.
+
+### `BASE_URL` (선택 사항)
+
+> 기본값: `https://api.openai.com`
+
+> 예시: `http://your-openai-proxy.com`
+
+OpenAI API 요청의 기본 URL을 재정의합니다.
+
+### `OPENAI_ORG_ID` (선택 사항)
+
+OpenAI organization ID를 지정합니다.
+
+### `AZURE_URL` (선택 사항)
+
+> 예시: https://{azure-resource-url}/openai
+
+Azure 배포 URL입니다.
+
+### `AZURE_API_KEY` (선택 사항)
+
+Azure API 키입니다.
+
+### `AZURE_API_VERSION` (선택 사항)
+
+Azure API 버전입니다. [Azure 문서](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)에서 확인할 수 있습니다.
+
+### `GOOGLE_API_KEY` (선택 사항)
+
+Google Gemini Pro API 키입니다.
+
+### `GOOGLE_URL` (선택 사항)
+
+Google Gemini Pro API URL입니다.
+
+### `ANTHROPIC_API_KEY` (선택 사항)
+
+Anthropic Claude API 키입니다.
+
+### `ANTHROPIC_API_VERSION` (선택 사항)
+
+Anthropic Claude API 버전입니다.
+
+### `ANTHROPIC_URL` (선택 사항)
+
+Anthropic Claude API URL입니다.
+
+### `BAIDU_API_KEY` (선택 사항)
+
+Baidu API 키입니다.
+
+### `BAIDU_SECRET_KEY` (선택 사항)
+
+Baidu Secret 키입니다.
+
+### `BAIDU_URL` (선택 사항)
+
+Baidu API URL입니다.
+
+### `BYTEDANCE_API_KEY` (선택 사항)
+
+ByteDance API 키입니다.
+
+### `BYTEDANCE_URL` (선택 사항)
+
+ByteDance API URL입니다.
+
+### `ALIBABA_API_KEY` (선택 사항)
+
+Alibaba Cloud API 키입니다.
+
+### `ALIBABA_URL` (선택 사항)
+
+Alibaba Cloud API URL입니다.
+
+### `IFLYTEK_URL` (선택 사항)
+
+iflytek API URL입니다.
+
+### `IFLYTEK_API_KEY` (선택 사항)
+
+iflytek API 키입니다.
+
+### `IFLYTEK_API_SECRET` (선택 사항)
+
+iflytek API 시크릿입니다.
+
+### `CHATGLM_API_KEY` (선택 사항)
+
+ChatGLM API 키입니다.
+
+### `CHATGLM_URL` (선택 사항)
+
+ChatGLM API URL입니다.
+
+### `DEEPSEEK_API_KEY` (선택 사항)
+
+DeepSeek API 키입니다.
+
+### `DEEPSEEK_URL` (선택 사항)
+
+DeepSeek API URL입니다.
+
+### `HIDE_USER_API_KEY` (선택 사항)
+
+> 기본값: 비어 있음
+
+사용자가 자신의 API 키를 입력하지 못하게 하려면 이 값을 1로 설정하세요.
+
+### `DISABLE_GPT4` (선택 사항)
+
+> 기본값: 비어 있음
+
+사용자가 GPT-4를 사용하지 못하게 하려면 이 값을 1로 설정하세요.
+
+### `ENABLE_BALANCE_QUERY` (선택 사항)
+
+> 기본값: 비어 있음
+
+사용자가 쿼리 잔액을 조회할 수 있도록 하려면 이 값을 1로 설정하세요.
+
+### `DISABLE_FAST_LINK` (선택 사항)
+
+> 기본값: 비어 있음
+
+URL에서 설정을 파싱하는 기능을 비활성화하려면 이 값을 1로 설정하세요.
+
+### `CUSTOM_MODELS` (선택 사항)
+
+> 기본값: 비어 있음  
+> 예시: `+llama,+claude-2,-gpt-3.5-turbo,gpt-4-1106-preview=gpt-4-turbo`  
+이는 `llama`, `claude-2`를 모델 리스트에 추가하고, `gpt-3.5-turbo`를 제거하며, `gpt-4-1106-preview`를 `gpt-4-turbo`로 표시합니다.
+
+사용자 지정 모델 제어 시 `+`는 추가, `-`는 제거, `이름=표시이름`은 모델명 커스터마이징을 의미합니다. 쉼표로 구분하세요.
+
+- `-all`은 기본 모델을 모두 비활성화  
+- `+all`은 기본 모델을 모두 활성화
+
+Azure 용법 예시: `modelName@Azure=deploymentName` → 배포 이름을 커스터마이징 가능  
+> 예시: `+gpt-3.5-turbo@Azure=gpt35` → 리스트에 `gpt35(Azure)` 표시됨  
+> Azure 모델만 사용할 경우: `-all,+gpt-3.5-turbo@Azure=gpt35`
+
+ByteDance 용법 예시: `modelName@bytedance=deploymentName`  
+> 예시: `+Doubao-lite-4k@bytedance=ep-xxxxx-xxx` → `Doubao-lite-4k(ByteDance)`로 표시됨
+
+### `DEFAULT_MODEL` (선택 사항)
+
+기본 모델을 변경합니다.
+
+### `VISION_MODELS` (선택 사항)
+
+> 기본값: 비어 있음  
+> 예시: `gpt-4-vision,claude-3-opus,my-custom-model`  
+위의 모델들에 시각 기능을 부여합니다 (기본적으로 `"vision"`, `"claude-3"`, `"gemini-1.5"` 키워드를 포함한 모델은 자동 인식됨). 기본 모델 외에도 모델을 추가할 수 있습니다. 쉼표로 구분하세요.
+
+### `WHITE_WEBDAV_ENDPOINTS` (선택 사항)
+
+접속 허용할 WebDAV 서비스 주소를 늘리고자 할 때 사용합니다.
+
+- 각 주소는 완전한 endpoint 여야 함: `https://xxxx/yyy`  
+- 여러 주소는 `,`로 구분
+
+### `DEFAULT_INPUT_TEMPLATE` (선택 사항)
+
+설정 메뉴의 사용자 입력 전처리 구성 항목 초기화 시 사용할 기본 템플릿을 설정합니다.
+
+### `STABILITY_API_KEY` (선택 사항)
+
+Stability API 키입니다.
+
+### `STABILITY_URL` (선택 사항)
+
+Stability API URL을 커스터마이징합니다.
+
+### `ENABLE_MCP` (선택 사항)
+
+MCP (Model Context Protocol) 기능을 활성화합니다.
+
+### `SILICONFLOW_API_KEY` (선택 사항)
+
+SiliconFlow API 키입니다.
+
+### `SILICONFLOW_URL` (선택 사항)
+
+SiliconFlow API URL입니다.
+
+### `AI302_API_KEY` (선택 사항)
+
+302.AI API 키입니다.
+
+### `AI302_URL` (선택 사항)
+
+302.AI API URL입니다.
+
+## 요구 사항 (Requirements)
+
+NodeJS >= 18, Docker >= 20
+
+## 개발 (Development)
+
+[![Gitpod에서 열기](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
+
+개발을 시작하기 전에 프로젝트 루트에 `.env.local` 파일을 만들고, 아래와 같이 API 키를 입력하세요:
+
+```
+OPENAI_API_KEY=<여기에 API 키 입력>
+
+# OpenAI 서비스를 사용할 수 없는 경우 아래 BASE_URL 사용
+BASE_URL=https://chatgpt1.nextweb.fun/api/proxy
+```
+
+### 로컬 개발 실행
+
+```shell
+# 1. Node.js와 Yarn을 먼저 설치
+# 2. `.env.local` 파일에 환경 변수 설정
+# 3. 실행
+yarn install
+yarn dev
+```
+
+## 배포 (Deployment)
+
+### Docker (권장)
+
+```shell
+docker pull yidadaa/chatgpt-next-web
+
+docker run -d -p 3000:3000 \
+   -e OPENAI_API_KEY=sk-xxxx \
+   -e CODE=your-password \
+   yidadaa/chatgpt-next-web
+```
+
+서비스에 프록시를 사용하려면:
+
+```shell
+docker run -d -p 3000:3000 \
+   -e OPENAI_API_KEY=sk-xxxx \
+   -e CODE=your-password \
+   -e PROXY_URL=http://localhost:7890 \
+   yidadaa/chatgpt-next-web
+```
+
+프록시에 인증이 필요한 경우:
+
+```shell
+-e PROXY_URL="http://127.0.0.1:7890 user pass"
+```
+
+MCP를 활성화하려면:
+
+```
+docker run -d -p 3000:3000 \
+   -e OPENAI_API_KEY=sk-xxxx \
+   -e CODE=your-password \
+   -e ENABLE_MCP=true \
+   yidadaa/chatgpt-next-web
+```
+
+### 로컬 배포
+
+콘솔에서 다음 명령을 실행하세요.
+
+```shell
+bash <(curl -s https://raw.githubusercontent.com/Yidadaa/ChatGPT-Next-Web/main/scripts/setup.sh)
+```
+
+⚠️ 참고: 설치 중에 문제가 발생하면 Docker 배포를 사용하세요.
+
+## 채팅 기록 동기화 (UpStash)
+
+| [简体中文](./docs/synchronise-chat-logs-cn.md) | [English](./docs/synchronise-chat-logs-en.md) | [Italiano](./docs/synchronise-chat-logs-es.md) | [日本語](./docs/synchronise-chat-logs-ja.md) | [한국어](./docs/synchronise-chat-logs-ko.md)
+
+## 문서 (Documentation)
+
+> 더 많은 문서는 [docs](./docs) 디렉토리를 참고하세요.
+
+- [Cloudflare 배포 가이드 (폐기됨)](./docs/cloudflare-pages-ko.md)
+- [자주 묻는 질문](./docs/faq-ko.md)
+- [새 번역 추가 방법](./docs/translation.md)
+- [Vercel 사용법 (중문)](./docs/vercel-cn.md)
+- [사용자 매뉴얼 (중문, 작성 중)](./docs/user-manual-cn.md)
+
+## 번역 (Translation)
+
+새로운 번역을 추가하고 싶다면, [이 문서](./docs/translation.md)를 읽어보세요.
+
+## 후원 (Donation)
+
+[Buy Me a Coffee](https://www.buymeacoffee.com/yidadaa)
+
+## 특별 감사 (Special Thanks)
+
+### 기여자 (Contributors)
+
+<a href="https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ChatGPTNextWeb/ChatGPT-Next-Web" />
+</a>
+
+## 라이선스 (LICENSE)
+
+[MIT](https://opensource.org/license/mit/)

app/api/302ai.ts

@@ -0,0 +1,128 @@
+import { getServerSideConfig } from "@/app/config/server";
+import {
+  AI302_BASE_URL,
+  ApiPath,
+  ModelProvider,
+  ServiceProvider,
+} from "@/app/constant";
+import { prettyObject } from "@/app/utils/format";
+import { NextRequest, NextResponse } from "next/server";
+import { auth } from "@/app/api/auth";
+import { isModelNotavailableInServer } from "@/app/utils/model";
+
+const serverConfig = getServerSideConfig();
+
+export async function handle(
+  req: NextRequest,
+  { params }: { params: { path: string[] } },
+) {
+  console.log("[302.AI Route] params ", params);
+
+  if (req.method === "OPTIONS") {
+    return NextResponse.json({ body: "OK" }, { status: 200 });
+  }
+
+  const authResult = auth(req, ModelProvider["302.AI"]);
+  if (authResult.error) {
+    return NextResponse.json(authResult, {
+      status: 401,
+    });
+  }
+
+  try {
+    const response = await request(req);
+    return response;
+  } catch (e) {
+    console.error("[302.AI] ", e);
+    return NextResponse.json(prettyObject(e));
+  }
+}
+
+async function request(req: NextRequest) {
+  const controller = new AbortController();
+
+  // alibaba use base url or just remove the path
+  let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath["302.AI"], "");
+
+  let baseUrl = serverConfig.ai302Url || AI302_BASE_URL;
+
+  if (!baseUrl.startsWith("http")) {
+    baseUrl = `https://${baseUrl}`;
+  }
+
+  if (baseUrl.endsWith("/")) {
+    baseUrl = baseUrl.slice(0, -1);
+  }
+
+  console.log("[Proxy] ", path);
+  console.log("[Base Url]", baseUrl);
+
+  const timeoutId = setTimeout(
+    () => {
+      controller.abort();
+    },
+    10 * 60 * 1000,
+  );
+
+  const fetchUrl = `${baseUrl}${path}`;
+  const fetchOptions: RequestInit = {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: req.headers.get("Authorization") ?? "",
+    },
+    method: req.method,
+    body: req.body,
+    redirect: "manual",
+    // @ts-ignore
+    duplex: "half",
+    signal: controller.signal,
+  };
+
+  // #1815 try to refuse some request to some models
+  if (serverConfig.customModels && req.body) {
+    try {
+      const clonedBody = await req.text();
+      fetchOptions.body = clonedBody;
+
+      const jsonBody = JSON.parse(clonedBody) as { model?: string };
+
+      // not undefined and is false
+      if (
+        isModelNotavailableInServer(
+          serverConfig.customModels,
+          jsonBody?.model as string,
+          ServiceProvider["302.AI"] as string,
+        )
+      ) {
+        return NextResponse.json(
+          {
+            error: true,
+            message: `you are not allowed to use ${jsonBody?.model} model`,
+          },
+          {
+            status: 403,
+          },
+        );
+      }
+    } catch (e) {
+      console.error(`[302.AI] filter`, e);
+    }
+  }
+  try {
+    const res = await fetch(fetchUrl, fetchOptions);
+
+    // to prevent browser prompt for credentials
+    const newHeaders = new Headers(res.headers);
+    newHeaders.delete("www-authenticate");
+    // to disable nginx buffering
+    newHeaders.set("X-Accel-Buffering", "no");
+
+    return new Response(res.body, {
+      status: res.status,
+      statusText: res.statusText,
+      headers: newHeaders,
+    });
+  } finally {
+    clearTimeout(timeoutId);
+  }
+}

app/api/[provider]/[...path]/route.ts

@@ -10,7 +10,12 @@ import { handle as alibabaHandler } from "../../alibaba";
 import { handle as moonshotHandler } from "../../moonshot";
 import { handle as stabilityHandler } from "../../stability";
 import { handle as iflytekHandler } from "../../iflytek";
+import { handle as deepseekHandler } from "../../deepseek";
+import { handle as siliconflowHandler } from "../../siliconflow";
+import { handle as xaiHandler } from "../../xai";
+import { handle as chatglmHandler } from "../../glm";
 import { handle as proxyHandler } from "../../proxy";
+import { handle as ai302Handler } from "../../302ai";
 
 async function handle(
   req: NextRequest,
@@ -38,8 +43,18 @@ async function handle(
       return stabilityHandler(req, { params });
     case ApiPath.Iflytek:
       return iflytekHandler(req, { params });
+    case ApiPath.DeepSeek:
+      return deepseekHandler(req, { params });
+    case ApiPath.XAI:
+      return xaiHandler(req, { params });
+    case ApiPath.ChatGLM:
+      return chatglmHandler(req, { params });
+    case ApiPath.SiliconFlow:
+      return siliconflowHandler(req, { params });
     case ApiPath.OpenAI:
       return openaiHandler(req, { params });
+    case ApiPath["302.AI"]:
+      return ai302Handler(req, { params });
     default:
       return proxyHandler(req, { params });
   }

app/api/alibaba.ts

@@ -8,7 +8,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/api/auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 
 const serverConfig = getServerSideConfig();
 
@@ -89,7 +89,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.Alibaba as string,

app/api/anthropic.ts

@@ -9,7 +9,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "./auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
 
 const ALLOWD_PATH = new Set([Anthropic.ChatPath, Anthropic.ChatPath1]);
@@ -122,7 +122,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.Anthropic as string,

app/api/auth.ts

@@ -92,6 +92,18 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
         systemApiKey =
           serverConfig.iflytekApiKey + ":" + serverConfig.iflytekApiSecret;
         break;
+      case ModelProvider.DeepSeek:
+        systemApiKey = serverConfig.deepseekApiKey;
+        break;
+      case ModelProvider.XAI:
+        systemApiKey = serverConfig.xaiApiKey;
+        break;
+      case ModelProvider.ChatGLM:
+        systemApiKey = serverConfig.chatglmApiKey;
+        break;
+      case ModelProvider.SiliconFlow:
+        systemApiKey = serverConfig.siliconFlowApiKey;
+        break;
       case ModelProvider.GPT:
       default:
         if (req.nextUrl.pathname.includes("azure/deployments")) {

app/api/baidu.ts

@@ -8,7 +8,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/api/auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 import { getAccessToken } from "@/app/utils/baidu";
 
 const serverConfig = getServerSideConfig();
@@ -104,7 +104,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.Baidu as string,

app/api/bytedance.ts

@@ -8,7 +8,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/api/auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 
 const serverConfig = getServerSideConfig();
 
@@ -88,7 +88,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.ByteDance as string,

app/api/common.ts

@@ -1,8 +1,8 @@
 import { NextRequest, NextResponse } from "next/server";
 import { getServerSideConfig } from "../config/server";
 import { OPENAI_BASE_URL, ServiceProvider } from "../constant";
-import { isModelAvailableInServer } from "../utils/model";
 import { cloudflareAIGatewayUrl } from "../utils/cloudflare";
+import { getModelProvider, isModelNotavailableInServer } from "../utils/model";
 
 const serverConfig = getServerSideConfig();
 
@@ -71,7 +71,7 @@ export async function requestOpenai(req: NextRequest) {
         .filter((v) => !!v && !v.startsWith("-") && v.includes(modelName))
         .forEach((m) => {
           const [fullName, displayName] = m.split("=");
-          const [_, providerName] = fullName.split("@");
+          const [_, providerName] = getModelProvider(fullName);
           if (providerName === "azure" && !displayName) {
             const [_, deployId] = (serverConfig?.azureUrl ?? "").split(
               "deployments/",
@@ -118,15 +118,14 @@ export async function requestOpenai(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
-          ServiceProvider.OpenAI as string,
-        ) ||
-        isModelAvailableInServer(
-          serverConfig.customModels,
-          jsonBody?.model as string,
-          ServiceProvider.Azure as string,
+          [
+            ServiceProvider.OpenAI,
+            ServiceProvider.Azure,
+            jsonBody?.model as string, // support provider-unspecified model
+          ],
         )
       ) {
         return NextResponse.json(

app/api/config/route.ts

@@ -14,6 +14,7 @@ const DANGER_CONFIG = {
   disableFastLink: serverConfig.disableFastLink,
   customModels: serverConfig.customModels,
   defaultModel: serverConfig.defaultModel,
+  visionModels: serverConfig.visionModels,
 };
 
 declare global {

app/api/deepseek.ts

@@ -0,0 +1,128 @@
+import { getServerSideConfig } from "@/app/config/server";
+import {
+  DEEPSEEK_BASE_URL,
+  ApiPath,
+  ModelProvider,
+  ServiceProvider,
+} from "@/app/constant";
+import { prettyObject } from "@/app/utils/format";
+import { NextRequest, NextResponse } from "next/server";
+import { auth } from "@/app/api/auth";
+import { isModelNotavailableInServer } from "@/app/utils/model";
+
+const serverConfig = getServerSideConfig();
+
+export async function handle(
+  req: NextRequest,
+  { params }: { params: { path: string[] } },
+) {
+  console.log("[DeepSeek Route] params ", params);
+
+  if (req.method === "OPTIONS") {
+    return NextResponse.json({ body: "OK" }, { status: 200 });
+  }
+
+  const authResult = auth(req, ModelProvider.DeepSeek);
+  if (authResult.error) {
+    return NextResponse.json(authResult, {
+      status: 401,
+    });
+  }
+
+  try {
+    const response = await request(req);
+    return response;
+  } catch (e) {
+    console.error("[DeepSeek] ", e);
+    return NextResponse.json(prettyObject(e));
+  }
+}
+
+async function request(req: NextRequest) {
+  const controller = new AbortController();
+
+  // alibaba use base url or just remove the path
+  let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.DeepSeek, "");
+
+  let baseUrl = serverConfig.deepseekUrl || DEEPSEEK_BASE_URL;
+
+  if (!baseUrl.startsWith("http")) {
+    baseUrl = `https://${baseUrl}`;
+  }
+
+  if (baseUrl.endsWith("/")) {
+    baseUrl = baseUrl.slice(0, -1);
+  }
+
+  console.log("[Proxy] ", path);
+  console.log("[Base Url]", baseUrl);
+
+  const timeoutId = setTimeout(
+    () => {
+      controller.abort();
+    },
+    10 * 60 * 1000,
+  );
+
+  const fetchUrl = `${baseUrl}${path}`;
+  const fetchOptions: RequestInit = {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: req.headers.get("Authorization") ?? "",
+    },
+    method: req.method,
+    body: req.body,
+    redirect: "manual",
+    // @ts-ignore
+    duplex: "half",
+    signal: controller.signal,
+  };
+
+  // #1815 try to refuse some request to some models
+  if (serverConfig.customModels && req.body) {
+    try {
+      const clonedBody = await req.text();
+      fetchOptions.body = clonedBody;
+
+      const jsonBody = JSON.parse(clonedBody) as { model?: string };
+
+      // not undefined and is false
+      if (
+        isModelNotavailableInServer(
+          serverConfig.customModels,
+          jsonBody?.model as string,
+          ServiceProvider.DeepSeek as string,
+        )
+      ) {
+        return NextResponse.json(
+          {
+            error: true,
+            message: `you are not allowed to use ${jsonBody?.model} model`,
+          },
+          {
+            status: 403,
+          },
+        );
+      }
+    } catch (e) {
+      console.error(`[DeepSeek] filter`, e);
+    }
+  }
+  try {
+    const res = await fetch(fetchUrl, fetchOptions);
+
+    // to prevent browser prompt for credentials
+    const newHeaders = new Headers(res.headers);
+    newHeaders.delete("www-authenticate");
+    // to disable nginx buffering
+    newHeaders.set("X-Accel-Buffering", "no");
+
+    return new Response(res.body, {
+      status: res.status,
+      statusText: res.statusText,
+      headers: newHeaders,
+    });
+  } finally {
+    clearTimeout(timeoutId);
+  }
+}

app/api/glm.ts

@@ -0,0 +1,129 @@
+import { getServerSideConfig } from "@/app/config/server";
+import {
+  CHATGLM_BASE_URL,
+  ApiPath,
+  ModelProvider,
+  ServiceProvider,
+} from "@/app/constant";
+import { prettyObject } from "@/app/utils/format";
+import { NextRequest, NextResponse } from "next/server";
+import { auth } from "@/app/api/auth";
+import { isModelNotavailableInServer } from "@/app/utils/model";
+
+const serverConfig = getServerSideConfig();
+
+export async function handle(
+  req: NextRequest,
+  { params }: { params: { path: string[] } },
+) {
+  console.log("[GLM Route] params ", params);
+
+  if (req.method === "OPTIONS") {
+    return NextResponse.json({ body: "OK" }, { status: 200 });
+  }
+
+  const authResult = auth(req, ModelProvider.ChatGLM);
+  if (authResult.error) {
+    return NextResponse.json(authResult, {
+      status: 401,
+    });
+  }
+
+  try {
+    const response = await request(req);
+    return response;
+  } catch (e) {
+    console.error("[GLM] ", e);
+    return NextResponse.json(prettyObject(e));
+  }
+}
+
+async function request(req: NextRequest) {
+  const controller = new AbortController();
+
+  // alibaba use base url or just remove the path
+  let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.ChatGLM, "");
+
+  let baseUrl = serverConfig.chatglmUrl || CHATGLM_BASE_URL;
+
+  if (!baseUrl.startsWith("http")) {
+    baseUrl = `https://${baseUrl}`;
+  }
+
+  if (baseUrl.endsWith("/")) {
+    baseUrl = baseUrl.slice(0, -1);
+  }
+
+  console.log("[Proxy] ", path);
+  console.log("[Base Url]", baseUrl);
+
+  const timeoutId = setTimeout(
+    () => {
+      controller.abort();
+    },
+    10 * 60 * 1000,
+  );
+
+  const fetchUrl = `${baseUrl}${path}`;
+  console.log("[Fetch Url] ", fetchUrl);
+  const fetchOptions: RequestInit = {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: req.headers.get("Authorization") ?? "",
+    },
+    method: req.method,
+    body: req.body,
+    redirect: "manual",
+    // @ts-ignore
+    duplex: "half",
+    signal: controller.signal,
+  };
+
+  // #1815 try to refuse some request to some models
+  if (serverConfig.customModels && req.body) {
+    try {
+      const clonedBody = await req.text();
+      fetchOptions.body = clonedBody;
+
+      const jsonBody = JSON.parse(clonedBody) as { model?: string };
+
+      // not undefined and is false
+      if (
+        isModelNotavailableInServer(
+          serverConfig.customModels,
+          jsonBody?.model as string,
+          ServiceProvider.ChatGLM as string,
+        )
+      ) {
+        return NextResponse.json(
+          {
+            error: true,
+            message: `you are not allowed to use ${jsonBody?.model} model`,
+          },
+          {
+            status: 403,
+          },
+        );
+      }
+    } catch (e) {
+      console.error(`[GLM] filter`, e);
+    }
+  }
+  try {
+    const res = await fetch(fetchUrl, fetchOptions);
+
+    // to prevent browser prompt for credentials
+    const newHeaders = new Headers(res.headers);
+    newHeaders.delete("www-authenticate");
+    // to disable nginx buffering
+    newHeaders.set("X-Accel-Buffering", "no");
+
+    return new Response(res.body, {
+      status: res.status,
+      statusText: res.statusText,
+      headers: newHeaders,
+    });
+  } finally {
+    clearTimeout(timeoutId);
+  }
+}

app/api/google.ts

@@ -23,7 +23,8 @@ export async function handle(
     });
   }
 
-  const bearToken = req.headers.get("Authorization") ?? "";
+  const bearToken =
+    req.headers.get("x-goog-api-key") || req.headers.get("Authorization") || "";
   const token = bearToken.trim().replaceAll("Bearer ", "").trim();
 
   const apiKey = token ? token : serverConfig.googleApiKey;
@@ -91,8 +92,8 @@ async function request(req: NextRequest, apiKey: string) {
     },
     10 * 60 * 1000,
   );
-  const fetchUrl = `${baseUrl}${path}?key=${apiKey}${
-    req?.nextUrl?.searchParams?.get("alt") === "sse" ? "&alt=sse" : ""
+  const fetchUrl = `${baseUrl}${path}${
+    req?.nextUrl?.searchParams?.get("alt") === "sse" ? "?alt=sse" : ""
   }`;
 
   console.log("[Fetch Url] ", fetchUrl);
@@ -100,6 +101,9 @@ async function request(req: NextRequest, apiKey: string) {
     headers: {
       "Content-Type": "application/json",
       "Cache-Control": "no-store",
+      "x-goog-api-key":
+        req.headers.get("x-goog-api-key") ||
+        (req.headers.get("Authorization") ?? "").replace("Bearer ", ""),
     },
     method: req.method,
     body: req.body,

app/api/iflytek.ts

@@ -8,7 +8,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/api/auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 // iflytek
 
 const serverConfig = getServerSideConfig();
@@ -89,7 +89,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.Iflytek as string,

app/api/moonshot.ts

@@ -8,7 +8,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/api/auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 
 const serverConfig = getServerSideConfig();
 
@@ -88,7 +88,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.Moonshot as string,

app/api/openai.ts

@@ -6,7 +6,7 @@ import { NextRequest, NextResponse } from "next/server";
 import { auth } from "./auth";
 import { requestOpenai } from "./common";
 
-const ALLOWD_PATH = new Set(Object.values(OpenaiPath));
+const ALLOWED_PATH = new Set(Object.values(OpenaiPath));
 
 function getModels(remoteModelRes: OpenAIListModelResponse) {
   const config = getServerSideConfig();
@@ -14,8 +14,12 @@ function getModels(remoteModelRes: OpenAIListModelResponse) {
   if (config.disableGPT4) {
     remoteModelRes.data = remoteModelRes.data.filter(
       (m) =>
-        !(m.id.startsWith("gpt-4") || m.id.startsWith("chatgpt-4o")) ||
-        m.id.startsWith("gpt-4o-mini"),
+        !(
+          m.id.startsWith("gpt-4") ||
+          m.id.startsWith("chatgpt-4o") ||
+          m.id.startsWith("o1") ||
+          m.id.startsWith("o3")
+        ) || m.id.startsWith("gpt-4o-mini"),
     );
   }
 
@@ -34,7 +38,7 @@ export async function handle(
 
   const subpath = params.path.join("/");
 
-  if (!ALLOWD_PATH.has(subpath)) {
+  if (!ALLOWED_PATH.has(subpath)) {
     console.log("[OpenAI Route] forbidden path ", subpath);
     return NextResponse.json(
       {

app/api/proxy.ts

@@ -1,4 +1,5 @@
 import { NextRequest, NextResponse } from "next/server";
+import { getServerSideConfig } from "@/app/config/server";
 
 export async function handle(
   req: NextRequest,
@@ -9,6 +10,7 @@ export async function handle(
   if (req.method === "OPTIONS") {
     return NextResponse.json({ body: "OK" }, { status: 200 });
   }
+  const serverConfig = getServerSideConfig();
 
   // remove path params from searchParams
   req.nextUrl.searchParams.delete("path");
@@ -31,6 +33,18 @@ export async function handle(
       return true;
     }),
   );
+  // if dalle3 use openai api key
+    const baseUrl = req.headers.get("x-base-url");
+    if (baseUrl?.includes("api.openai.com")) {
+      if (!serverConfig.apiKey) {
+        return NextResponse.json(
+          { error: "OpenAI API key not configured" },
+          { status: 500 },
+        );
+      }
+      headers.set("Authorization", `Bearer ${serverConfig.apiKey}`);
+    }
+
   const controller = new AbortController();
   const fetchOptions: RequestInit = {
     headers,

app/api/siliconflow.ts

@@ -0,0 +1,128 @@
+import { getServerSideConfig } from "@/app/config/server";
+import {
+  SILICONFLOW_BASE_URL,
+  ApiPath,
+  ModelProvider,
+  ServiceProvider,
+} from "@/app/constant";
+import { prettyObject } from "@/app/utils/format";
+import { NextRequest, NextResponse } from "next/server";
+import { auth } from "@/app/api/auth";
+import { isModelNotavailableInServer } from "@/app/utils/model";
+
+const serverConfig = getServerSideConfig();
+
+export async function handle(
+  req: NextRequest,
+  { params }: { params: { path: string[] } },
+) {
+  console.log("[SiliconFlow Route] params ", params);
+
+  if (req.method === "OPTIONS") {
+    return NextResponse.json({ body: "OK" }, { status: 200 });
+  }
+
+  const authResult = auth(req, ModelProvider.SiliconFlow);
+  if (authResult.error) {
+    return NextResponse.json(authResult, {
+      status: 401,
+    });
+  }
+
+  try {
+    const response = await request(req);
+    return response;
+  } catch (e) {
+    console.error("[SiliconFlow] ", e);
+    return NextResponse.json(prettyObject(e));
+  }
+}
+
+async function request(req: NextRequest) {
+  const controller = new AbortController();
+
+  // alibaba use base url or just remove the path
+  let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.SiliconFlow, "");
+
+  let baseUrl = serverConfig.siliconFlowUrl || SILICONFLOW_BASE_URL;
+
+  if (!baseUrl.startsWith("http")) {
+    baseUrl = `https://${baseUrl}`;
+  }
+
+  if (baseUrl.endsWith("/")) {
+    baseUrl = baseUrl.slice(0, -1);
+  }
+
+  console.log("[Proxy] ", path);
+  console.log("[Base Url]", baseUrl);
+
+  const timeoutId = setTimeout(
+    () => {
+      controller.abort();
+    },
+    10 * 60 * 1000,
+  );
+
+  const fetchUrl = `${baseUrl}${path}`;
+  const fetchOptions: RequestInit = {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: req.headers.get("Authorization") ?? "",
+    },
+    method: req.method,
+    body: req.body,
+    redirect: "manual",
+    // @ts-ignore
+    duplex: "half",
+    signal: controller.signal,
+  };
+
+  // #1815 try to refuse some request to some models
+  if (serverConfig.customModels && req.body) {
+    try {
+      const clonedBody = await req.text();
+      fetchOptions.body = clonedBody;
+
+      const jsonBody = JSON.parse(clonedBody) as { model?: string };
+
+      // not undefined and is false
+      if (
+        isModelNotavailableInServer(
+          serverConfig.customModels,
+          jsonBody?.model as string,
+          ServiceProvider.SiliconFlow as string,
+        )
+      ) {
+        return NextResponse.json(
+          {
+            error: true,
+            message: `you are not allowed to use ${jsonBody?.model} model`,
+          },
+          {
+            status: 403,
+          },
+        );
+      }
+    } catch (e) {
+      console.error(`[SiliconFlow] filter`, e);
+    }
+  }
+  try {
+    const res = await fetch(fetchUrl, fetchOptions);
+
+    // to prevent browser prompt for credentials
+    const newHeaders = new Headers(res.headers);
+    newHeaders.delete("www-authenticate");
+    // to disable nginx buffering
+    newHeaders.set("X-Accel-Buffering", "no");
+
+    return new Response(res.body, {
+      status: res.status,
+      statusText: res.statusText,
+      headers: newHeaders,
+    });
+  } finally {
+    clearTimeout(timeoutId);
+  }
+}

app/api/webdav/[...path]/route.ts

@@ -6,7 +6,7 @@ const config = getServerSideConfig();
 
 const mergedAllowedWebDavEndpoints = [
   ...internalAllowedWebDavEndpoints,
-  ...config.allowedWebDevEndpoints,
+  ...config.allowedWebDavEndpoints,
 ].filter((domain) => Boolean(domain.trim()));
 
 const normalizeUrl = (url: string) => {

app/api/xai.ts

@@ -0,0 +1,128 @@
+import { getServerSideConfig } from "@/app/config/server";
+import {
+  XAI_BASE_URL,
+  ApiPath,
+  ModelProvider,
+  ServiceProvider,
+} from "@/app/constant";
+import { prettyObject } from "@/app/utils/format";
+import { NextRequest, NextResponse } from "next/server";
+import { auth } from "@/app/api/auth";
+import { isModelNotavailableInServer } from "@/app/utils/model";
+
+const serverConfig = getServerSideConfig();
+
+export async function handle(
+  req: NextRequest,
+  { params }: { params: { path: string[] } },
+) {
+  console.log("[XAI Route] params ", params);
+
+  if (req.method === "OPTIONS") {
+    return NextResponse.json({ body: "OK" }, { status: 200 });
+  }
+
+  const authResult = auth(req, ModelProvider.XAI);
+  if (authResult.error) {
+    return NextResponse.json(authResult, {
+      status: 401,
+    });
+  }
+
+  try {
+    const response = await request(req);
+    return response;
+  } catch (e) {
+    console.error("[XAI] ", e);
+    return NextResponse.json(prettyObject(e));
+  }
+}
+
+async function request(req: NextRequest) {
+  const controller = new AbortController();
+
+  // alibaba use base url or just remove the path
+  let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.XAI, "");
+
+  let baseUrl = serverConfig.xaiUrl || XAI_BASE_URL;
+
+  if (!baseUrl.startsWith("http")) {
+    baseUrl = `https://${baseUrl}`;
+  }
+
+  if (baseUrl.endsWith("/")) {
+    baseUrl = baseUrl.slice(0, -1);
+  }
+
+  console.log("[Proxy] ", path);
+  console.log("[Base Url]", baseUrl);
+
+  const timeoutId = setTimeout(
+    () => {
+      controller.abort();
+    },
+    10 * 60 * 1000,
+  );
+
+  const fetchUrl = `${baseUrl}${path}`;
+  const fetchOptions: RequestInit = {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: req.headers.get("Authorization") ?? "",
+    },
+    method: req.method,
+    body: req.body,
+    redirect: "manual",
+    // @ts-ignore
+    duplex: "half",
+    signal: controller.signal,
+  };
+
+  // #1815 try to refuse some request to some models
+  if (serverConfig.customModels && req.body) {
+    try {
+      const clonedBody = await req.text();
+      fetchOptions.body = clonedBody;
+
+      const jsonBody = JSON.parse(clonedBody) as { model?: string };
+
+      // not undefined and is false
+      if (
+        isModelNotavailableInServer(
+          serverConfig.customModels,
+          jsonBody?.model as string,
+          ServiceProvider.XAI as string,
+        )
+      ) {
+        return NextResponse.json(
+          {
+            error: true,
+            message: `you are not allowed to use ${jsonBody?.model} model`,
+          },
+          {
+            status: 403,
+          },
+        );
+      }
+    } catch (e) {
+      console.error(`[XAI] filter`, e);
+    }
+  }
+  try {
+    const res = await fetch(fetchUrl, fetchOptions);
+
+    // to prevent browser prompt for credentials
+    const newHeaders = new Headers(res.headers);
+    newHeaders.delete("www-authenticate");
+    // to disable nginx buffering
+    newHeaders.set("X-Accel-Buffering", "no");
+
+    return new Response(res.body, {
+      status: res.status,
+      statusText: res.statusText,
+      headers: newHeaders,
+    });
+  } finally {
+    clearTimeout(timeoutId);
+  }
+}

app/client/api.ts

@@ -20,6 +20,11 @@ import { QwenApi } from "./platforms/alibaba";
 import { HunyuanApi } from "./platforms/tencent";
 import { MoonshotApi } from "./platforms/moonshot";
 import { SparkApi } from "./platforms/iflytek";
+import { DeepSeekApi } from "./platforms/deepseek";
+import { XAIApi } from "./platforms/xai";
+import { ChatGLMApi } from "./platforms/glm";
+import { SiliconflowApi } from "./platforms/siliconflow";
+import { Ai302Api } from "./platforms/ai302";
 
 export const ROLES = ["system", "user", "assistant"] as const;
 export type MessageRole = (typeof ROLES)[number];
@@ -36,6 +41,11 @@ export interface MultimodalContent {
   };
 }
 
+export interface MultimodalContentForAlibaba {
+  text?: string;
+  image?: string;
+}
+
 export interface RequestMessage {
   role: MessageRole;
   content: string | MultimodalContent[];
@@ -68,7 +78,7 @@ export interface ChatOptions {
   config: LLMConfig;
 
   onUpdate?: (message: string, chunk: string) => void;
-  onFinish: (message: string) => void;
+  onFinish: (message: string, responseRes: Response) => void;
   onError?: (err: Error) => void;
   onController?: (controller: AbortController) => void;
   onBeforeTool?: (tool: ChatMessageTool) => void;
@@ -152,6 +162,21 @@ export class ClientApi {
       case ModelProvider.Iflytek:
         this.llm = new SparkApi();
         break;
+      case ModelProvider.DeepSeek:
+        this.llm = new DeepSeekApi();
+        break;
+      case ModelProvider.XAI:
+        this.llm = new XAIApi();
+        break;
+      case ModelProvider.ChatGLM:
+        this.llm = new ChatGLMApi();
+        break;
+      case ModelProvider.SiliconFlow:
+        this.llm = new SiliconflowApi();
+        break;
+      case ModelProvider["302.AI"]:
+        this.llm = new Ai302Api();
+        break;
       default:
         this.llm = new ChatGPTApi();
     }
@@ -231,7 +256,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
 
   function getConfig() {
     const modelConfig = chatStore.currentSession().mask.modelConfig;
-    const isGoogle = modelConfig.providerName == ServiceProvider.Google;
+    const isGoogle = modelConfig.providerName === ServiceProvider.Google;
     const isAzure = modelConfig.providerName === ServiceProvider.Azure;
     const isAnthropic = modelConfig.providerName === ServiceProvider.Anthropic;
     const isBaidu = modelConfig.providerName == ServiceProvider.Baidu;
@@ -239,6 +264,12 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     const isAlibaba = modelConfig.providerName === ServiceProvider.Alibaba;
     const isMoonshot = modelConfig.providerName === ServiceProvider.Moonshot;
     const isIflytek = modelConfig.providerName === ServiceProvider.Iflytek;
+    const isDeepSeek = modelConfig.providerName === ServiceProvider.DeepSeek;
+    const isXAI = modelConfig.providerName === ServiceProvider.XAI;
+    const isChatGLM = modelConfig.providerName === ServiceProvider.ChatGLM;
+    const isSiliconFlow =
+      modelConfig.providerName === ServiceProvider.SiliconFlow;
+    const isAI302 = modelConfig.providerName === ServiceProvider["302.AI"];
     const isEnabledAccessControl = accessStore.enabledAccessControl();
     const apiKey = isGoogle
       ? accessStore.googleApiKey
@@ -252,10 +283,20 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       ? accessStore.alibabaApiKey
       : isMoonshot
       ? accessStore.moonshotApiKey
+      : isXAI
+      ? accessStore.xaiApiKey
+      : isDeepSeek
+      ? accessStore.deepseekApiKey
+      : isChatGLM
+      ? accessStore.chatglmApiKey
+      : isSiliconFlow
+      ? accessStore.siliconflowApiKey
       : isIflytek
       ? accessStore.iflytekApiKey && accessStore.iflytekApiSecret
         ? accessStore.iflytekApiKey + ":" + accessStore.iflytekApiSecret
         : ""
+      : isAI302
+      ? accessStore.ai302ApiKey
       : accessStore.openaiApiKey;
     return {
       isGoogle,
@@ -266,13 +307,24 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       isAlibaba,
       isMoonshot,
       isIflytek,
+      isDeepSeek,
+      isXAI,
+      isChatGLM,
+      isSiliconFlow,
+      isAI302,
       apiKey,
       isEnabledAccessControl,
     };
   }
 
   function getAuthHeader(): string {
-    return isAzure ? "api-key" : isAnthropic ? "x-api-key" : "Authorization";
+    return isAzure
+      ? "api-key"
+      : isAnthropic
+      ? "x-api-key"
+      : isGoogle
+      ? "x-goog-api-key"
+      : "Authorization";
   }
 
   const {
@@ -280,17 +332,27 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     isAzure,
     isAnthropic,
     isBaidu,
+    isByteDance,
+    isAlibaba,
+    isMoonshot,
+    isIflytek,
+    isDeepSeek,
+    isXAI,
+    isChatGLM,
+    isSiliconFlow,
+    isAI302,
     apiKey,
     isEnabledAccessControl,
   } = getConfig();
-  // when using google api in app, not set auth header
-  if (isGoogle && clientConfig?.isApp) return headers;
   // when using baidu api in app, not set auth header
   if (isBaidu && clientConfig?.isApp) return headers;
 
   const authHeader = getAuthHeader();
 
-  const bearerToken = getBearerToken(apiKey, isAzure || isAnthropic);
+  const bearerToken = getBearerToken(
+    apiKey,
+    isAzure || isAnthropic || isGoogle,
+  );
 
   if (bearerToken) {
     headers[authHeader] = bearerToken;
@@ -321,6 +383,16 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
       return new ClientApi(ModelProvider.Moonshot);
     case ServiceProvider.Iflytek:
       return new ClientApi(ModelProvider.Iflytek);
+    case ServiceProvider.DeepSeek:
+      return new ClientApi(ModelProvider.DeepSeek);
+    case ServiceProvider.XAI:
+      return new ClientApi(ModelProvider.XAI);
+    case ServiceProvider.ChatGLM:
+      return new ClientApi(ModelProvider.ChatGLM);
+    case ServiceProvider.SiliconFlow:
+      return new ClientApi(ModelProvider.SiliconFlow);
+    case ServiceProvider["302.AI"]:
+      return new ClientApi(ModelProvider["302.AI"]);
     default:
       return new ClientApi(ModelProvider.GPT);
   }

app/client/platforms/ai302.ts

@@ -0,0 +1,287 @@
+"use client";
+
+import {
+  ApiPath,
+  AI302_BASE_URL,
+  DEFAULT_MODELS,
+  AI302,
+} from "@/app/constant";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import { preProcessImageContent, streamWithThink } from "@/app/utils/chat";
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  SpeechOptions,
+} from "../api";
+import { getClientConfig } from "@/app/config/client";
+import {
+  getMessageTextContent,
+  getMessageTextContentWithoutThinking,
+  isVisionModel,
+  getTimeoutMSByModel,
+} from "@/app/utils";
+import { RequestPayload } from "./openai";
+
+import { fetch } from "@/app/utils/stream";
+export interface Ai302ListModelResponse {
+  object: string;
+  data: Array<{
+    id: string;
+    object: string;
+    root: string;
+  }>;
+}
+
+export class Ai302Api implements LLMApi {
+  private disableListModels = false;
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+
+    let baseUrl = "";
+
+    if (accessStore.useCustomConfig) {
+      baseUrl = accessStore.ai302Url;
+    }
+
+    if (baseUrl.length === 0) {
+      const isApp = !!getClientConfig()?.isApp;
+      const apiPath = ApiPath["302.AI"];
+      baseUrl = isApp ? AI302_BASE_URL : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (
+      !baseUrl.startsWith("http") &&
+      !baseUrl.startsWith(ApiPath["302.AI"])
+    ) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
+    throw new Error("Method not implemented.");
+  }
+
+  async chat(options: ChatOptions) {
+    const visionModel = isVisionModel(options.config.model);
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      if (v.role === "assistant") {
+        const content = getMessageTextContentWithoutThinking(v);
+        messages.push({ role: v.role, content });
+      } else {
+        const content = visionModel
+          ? await preProcessImageContent(v.content)
+          : getMessageTextContent(v);
+        messages.push({ role: v.role, content });
+      }
+    }
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+        providerName: options.config.providerName,
+      },
+    };
+
+    const requestPayload: RequestPayload = {
+      messages,
+      stream: options.config.stream,
+      model: modelConfig.model,
+      temperature: modelConfig.temperature,
+      presence_penalty: modelConfig.presence_penalty,
+      frequency_penalty: modelConfig.frequency_penalty,
+      top_p: modelConfig.top_p,
+      // max_tokens: Math.max(modelConfig.max_tokens, 1024),
+      // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
+    };
+
+    console.log("[Request] openai payload: ", requestPayload);
+
+    const shouldStream = !!options.config.stream;
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPath = this.path(AI302.ChatPath);
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      // console.log(chatPayload);
+
+      // Use extended timeout for thinking models as they typically require more processing time
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        getTimeoutMSByModel(options.config.model),
+      );
+
+      if (shouldStream) {
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return streamWithThink(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string | null;
+                tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
+              };
+            }>;
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
+            }
+            const reasoning = choices[0]?.delta?.reasoning_content;
+            const content = choices[0]?.delta?.content;
+
+            // Skip if both content and reasoning_content are empty or null
+            if (
+              (!reasoning || reasoning.length === 0) &&
+              (!content || content.length === 0)
+            ) {
+              return {
+                isThinking: false,
+                content: "",
+              };
+            }
+
+            if (reasoning && reasoning.length > 0) {
+              return {
+                isThinking: true,
+                content: reasoning,
+              };
+            } else if (content && content.length > 0) {
+              return {
+                isThinking: false,
+                content: content,
+              };
+            }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.messages?.splice(
+              // @ts-ignore
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
+          },
+          options,
+        );
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message, res);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+  async usage() {
+    return {
+      used: 0,
+      total: 0,
+    };
+  }
+
+  async models(): Promise<LLMModel[]> {
+    if (this.disableListModels) {
+      return DEFAULT_MODELS.slice();
+    }
+
+    const res = await fetch(this.path(AI302.ListModelPath), {
+      method: "GET",
+      headers: {
+        ...getHeaders(),
+      },
+    });
+
+    const resJson = (await res.json()) as Ai302ListModelResponse;
+    const chatModels = resJson.data;
+    console.log("[Models]", chatModels);
+
+    if (!chatModels) {
+      return [];
+    }
+
+    let seq = 1000; //同 Constant.ts 中的排序保持一致
+    return chatModels.map((m) => ({
+      name: m.id,
+      available: true,
+      sorted: seq++,
+      provider: {
+        id: "ai302",
+        providerName: "302.AI",
+        providerType: "ai302",
+        sorted: 15,
+      },
+    }));
+  }
+}

app/client/platforms/alibaba.ts

@@ -1,12 +1,16 @@
 "use client";
+import { ApiPath, Alibaba, ALIBABA_BASE_URL } from "@/app/constant";
 import {
-  ApiPath,
-  Alibaba,
-  ALIBABA_BASE_URL,
-  REQUEST_TIMEOUT_MS,
-} from "@/app/constant";
-import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
-
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import {
+  preProcessImageContentForAlibabaDashScope,
+  streamWithThink,
+} from "@/app/utils/chat";
 import {
   ChatOptions,
   getHeaders,
@@ -14,15 +18,16 @@ import {
   LLMModel,
   SpeechOptions,
   MultimodalContent,
+  MultimodalContentForAlibaba,
 } from "../api";
-import Locale from "../../locales";
-import {
-  EventStreamContentType,
-  fetchEventSource,
-} from "@fortaine/fetch-event-source";
-import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getMessageTextContentWithoutThinking,
+  getTimeoutMSByModel,
+  isVisionModel,
+} from "@/app/utils";
+import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
   object: string;
@@ -89,11 +94,6 @@ export class QwenApi implements LLMApi {
   }
 
   async chat(options: ChatOptions) {
-    const messages = options.messages.map((v) => ({
-      role: v.role,
-      content: getMessageTextContent(v),
-    }));
-
     const modelConfig = {
       ...useAppConfig.getState().modelConfig,
       ...useChatStore.getState().currentSession().mask.modelConfig,
@@ -102,6 +102,21 @@ export class QwenApi implements LLMApi {
       },
     };
 
+    const visionModel = isVisionModel(options.config.model);
+
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      const content = (
+        visionModel
+          ? await preProcessImageContentForAlibabaDashScope(v.content)
+          : v.role === "assistant"
+          ? getMessageTextContentWithoutThinking(v)
+          : getMessageTextContent(v)
+      ) as any;
+
+      messages.push({ role: v.role, content });
+    }
+
     const shouldStream = !!options.config.stream;
     const requestPayload: RequestPayload = {
       model: modelConfig.model,
@@ -121,138 +136,127 @@ export class QwenApi implements LLMApi {
     options.onController?.(controller);
 
     try {
-      const chatPath = this.path(Alibaba.ChatPath);
+      const headers = {
+        ...getHeaders(),
+        "X-DashScope-SSE": shouldStream ? "enable" : "disable",
+      };
+
+      const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
       const chatPayload = {
         method: "POST",
         body: JSON.stringify(requestPayload),
         signal: controller.signal,
-        headers: {
-          ...getHeaders(),
-          "X-DashScope-SSE": shouldStream ? "enable" : "disable",
-        },
+        headers: headers,
       };
 
       // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
+        getTimeoutMSByModel(options.config.model),
       );
 
       if (shouldStream) {
-        let responseText = "";
-        let remainText = "";
-        let finished = false;
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return streamWithThink(
+          chatPath,
+          requestPayload,
+          headers,
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.output.choices as Array<{
+              message: {
+                content: string | null | MultimodalContentForAlibaba[];
+                tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
+              };
+            }>;
 
-        // animate response to make it looks smooth
-        function animateResponseText() {
-          if (finished || controller.signal.aborted) {
-            responseText += remainText;
-            console.log("[Response Animation] finished");
-            if (responseText?.length === 0) {
-              options.onError?.(new Error("empty response from server"));
-            }
-            return;
-          }
+            if (!choices?.length) return { isThinking: false, content: "" };
 
-          if (remainText.length > 0) {
-            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
-            const fetchText = remainText.slice(0, fetchCount);
-            responseText += fetchText;
-            remainText = remainText.slice(fetchCount);
-            options.onUpdate?.(responseText, fetchText);
-          }
-
-          requestAnimationFrame(animateResponseText);
-        }
-
-        // start animaion
-        animateResponseText();
-
-        const finish = () => {
-          if (!finished) {
-            finished = true;
-            options.onFinish(responseText + remainText);
-          }
-        };
-
-        controller.signal.onabort = finish;
-
-        fetchEventSource(chatPath, {
-          ...chatPayload,
-          async onopen(res) {
-            clearTimeout(requestTimeoutId);
-            const contentType = res.headers.get("content-type");
-            console.log(
-              "[Alibaba] request response content type: ",
-              contentType,
-            );
-
-            if (contentType?.startsWith("text/plain")) {
-              responseText = await res.clone().text();
-              return finish();
+            const tool_calls = choices[0]?.message?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
             }
 
+            const reasoning = choices[0]?.message?.reasoning_content;
+            const content = choices[0]?.message?.content;
+
+            // Skip if both content and reasoning_content are empty or null
             if (
-              !res.ok ||
-              !res.headers
-                .get("content-type")
-                ?.startsWith(EventStreamContentType) ||
-              res.status !== 200
+              (!reasoning || reasoning.length === 0) &&
+              (!content || content.length === 0)
             ) {
-              const responseTexts = [responseText];
-              let extraInfo = await res.clone().text();
-              try {
-                const resJson = await res.clone().json();
-                extraInfo = prettyObject(resJson);
-              } catch {}
-
-              if (res.status === 401) {
-                responseTexts.push(Locale.Error.Unauthorized);
-              }
-
-              if (extraInfo) {
-                responseTexts.push(extraInfo);
-              }
-
-              responseText = responseTexts.join("\n\n");
-
-              return finish();
+              return {
+                isThinking: false,
+                content: "",
+              };
             }
-          },
-          onmessage(msg) {
-            if (msg.data === "[DONE]" || finished) {
-              return finish();
-            }
-            const text = msg.data;
-            try {
-              const json = JSON.parse(text);
-              const choices = json.output.choices as Array<{
-                message: { content: string };
-              }>;
-              const delta = choices[0]?.message?.content;
-              if (delta) {
-                remainText += delta;
-              }
-            } catch (e) {
-              console.error("[Request] parse error", text, msg);
+
+            if (reasoning && reasoning.length > 0) {
+              return {
+                isThinking: true,
+                content: reasoning,
+              };
+            } else if (content && content.length > 0) {
+              return {
+                isThinking: false,
+                content: Array.isArray(content)
+                  ? content.map((item) => item.text).join(",")
+                  : content,
+              };
             }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
           },
-          onclose() {
-            finish();
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            requestPayload?.input?.messages?.splice(
+              requestPayload?.input?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
           },
-          onerror(e) {
-            options.onError?.(e);
-            throw e;
-          },
-          openWhenHidden: true,
-        });
+          options,
+        );
       } else {
         const res = await fetch(chatPath, chatPayload);
         clearTimeout(requestTimeoutId);
 
         const resJson = await res.json();
         const message = this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/anthropic.ts

@@ -8,11 +8,12 @@ import {
   ChatMessageTool,
 } from "@/app/store";
 import { getClientConfig } from "@/app/config/client";
-import { DEFAULT_API_HOST } from "@/app/constant";
+import { ANTHROPIC_BASE_URL } from "@/app/constant";
 import { getMessageTextContent, isVisionModel } from "@/app/utils";
 import { preProcessImageContent, stream } from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
 import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
 
 export type MultiBlockContent = {
   type: "image" | "text";
@@ -223,7 +224,7 @@ export class ClaudeApi implements LLMApi {
           let chunkJson:
             | undefined
             | {
-                type: "content_block_delta" | "content_block_stop";
+                type: "content_block_delta" | "content_block_stop" | "message_delta" | "message_stop";
                 content_block?: {
                   type: "tool_use";
                   id: string;
@@ -233,11 +234,20 @@ export class ClaudeApi implements LLMApi {
                   type: "text_delta" | "input_json_delta";
                   text?: string;
                   partial_json?: string;
+                  stop_reason?: string;
                 };
                 index: number;
               };
           chunkJson = JSON.parse(text);
 
+          // Handle refusal stop reason in message_delta
+          if (chunkJson?.delta?.stop_reason === "refusal") {
+            // Return a message to display to the user
+            const refusalMessage = "\n\n[Assistant refused to respond. Please modify your request and try again.]";
+            options.onError?.(new Error("Content policy violation: " + refusalMessage));
+            return refusalMessage;
+          }
+
           if (chunkJson?.content_block?.type == "tool_use") {
             index += 1;
             const id = chunkJson?.content_block.id;
@@ -316,13 +326,14 @@ export class ClaudeApi implements LLMApi {
       };
 
       try {
-        controller.signal.onabort = () => options.onFinish("");
+        controller.signal.onabort = () =>
+          options.onFinish("", new Response(null, { status: 400 }));
 
         const res = await fetch(path, payload);
         const resJson = await res.json();
 
         const message = this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       } catch (e) {
         console.error("failed to chat", e);
         options.onError?.(e as Error);
@@ -388,9 +399,7 @@ export class ClaudeApi implements LLMApi {
     if (baseUrl.trim().length === 0) {
       const isApp = !!getClientConfig()?.isApp;
 
-      baseUrl = isApp
-        ? DEFAULT_API_HOST + "/api/proxy/anthropic"
-        : ApiPath.Anthropic;
+      baseUrl = isApp ? ANTHROPIC_BASE_URL : ApiPath.Anthropic;
     }
 
     if (!baseUrl.startsWith("http") && !baseUrl.startsWith("/api")) {

app/client/platforms/baidu.ts

@@ -1,10 +1,5 @@
 "use client";
-import {
-  ApiPath,
-  Baidu,
-  BAIDU_BASE_URL,
-  REQUEST_TIMEOUT_MS,
-} from "@/app/constant";
+import { ApiPath, Baidu, BAIDU_BASE_URL } from "@/app/constant";
 import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
 import { getAccessToken } from "@/app/utils/baidu";
 
@@ -23,7 +18,8 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import { getMessageTextContent, getTimeoutMSByModel } from "@/app/utils";
+import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
   object: string;
@@ -154,13 +150,14 @@ export class ErnieApi implements LLMApi {
       // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
+        getTimeoutMSByModel(options.config.model),
       );
 
       if (shouldStream) {
         let responseText = "";
         let remainText = "";
         let finished = false;
+        let responseRes: Response;
 
         // animate response to make it looks smooth
         function animateResponseText() {
@@ -190,19 +187,20 @@ export class ErnieApi implements LLMApi {
         const finish = () => {
           if (!finished) {
             finished = true;
-            options.onFinish(responseText + remainText);
+            options.onFinish(responseText + remainText, responseRes);
           }
         };
 
         controller.signal.onabort = finish;
 
         fetchEventSource(chatPath, {
+          fetch: fetch as any,
           ...chatPayload,
           async onopen(res) {
             clearTimeout(requestTimeoutId);
             const contentType = res.headers.get("content-type");
             console.log("[Baidu] request response content type: ", contentType);
-
+            responseRes = res;
             if (contentType?.startsWith("text/plain")) {
               responseText = await res.clone().text();
               return finish();
@@ -265,7 +263,7 @@ export class ErnieApi implements LLMApi {
 
         const resJson = await res.json();
         const message = resJson?.result;
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/bytedance.ts

@@ -1,11 +1,12 @@
 "use client";
+import { ApiPath, ByteDance, BYTEDANCE_BASE_URL } from "@/app/constant";
 import {
-  ApiPath,
-  ByteDance,
-  BYTEDANCE_BASE_URL,
-  REQUEST_TIMEOUT_MS,
-} from "@/app/constant";
-import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
 
 import {
   ChatOptions,
@@ -15,14 +16,15 @@ import {
   MultimodalContent,
   SpeechOptions,
 } from "../api";
-import Locale from "../../locales";
-import {
-  EventStreamContentType,
-  fetchEventSource,
-} from "@fortaine/fetch-event-source";
-import { prettyObject } from "@/app/utils/format";
+
+import { streamWithThink } from "@/app/utils/chat";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import { preProcessImageContent } from "@/app/utils/chat";
+import {
+  getMessageTextContentWithoutThinking,
+  getTimeoutMSByModel,
+} from "@/app/utils";
+import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
   object: string;
@@ -33,7 +35,7 @@ export interface OpenAIListModelResponse {
   }>;
 }
 
-interface RequestPayload {
+interface RequestPayloadForByteDance {
   messages: {
     role: "system" | "user" | "assistant";
     content: string | MultimodalContent[];
@@ -83,10 +85,14 @@ export class DoubaoApi implements LLMApi {
   }
 
   async chat(options: ChatOptions) {
-    const messages = options.messages.map((v) => ({
-      role: v.role,
-      content: getMessageTextContent(v),
-    }));
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      const content =
+        v.role === "assistant"
+          ? getMessageTextContentWithoutThinking(v)
+          : await preProcessImageContent(v.content);
+      messages.push({ role: v.role, content });
+    }
 
     const modelConfig = {
       ...useAppConfig.getState().modelConfig,
@@ -97,7 +103,7 @@ export class DoubaoApi implements LLMApi {
     };
 
     const shouldStream = !!options.config.stream;
-    const requestPayload: RequestPayload = {
+    const requestPayload: RequestPayloadForByteDance = {
       messages,
       stream: shouldStream,
       model: modelConfig.model,
@@ -122,124 +128,108 @@ export class DoubaoApi implements LLMApi {
       // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
+        getTimeoutMSByModel(options.config.model),
       );
 
       if (shouldStream) {
-        let responseText = "";
-        let remainText = "";
-        let finished = false;
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return streamWithThink(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string | null;
+                tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
+              };
+            }>;
 
-        // animate response to make it looks smooth
-        function animateResponseText() {
-          if (finished || controller.signal.aborted) {
-            responseText += remainText;
-            console.log("[Response Animation] finished");
-            if (responseText?.length === 0) {
-              options.onError?.(new Error("empty response from server"));
-            }
-            return;
-          }
-
-          if (remainText.length > 0) {
-            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
-            const fetchText = remainText.slice(0, fetchCount);
-            responseText += fetchText;
-            remainText = remainText.slice(fetchCount);
-            options.onUpdate?.(responseText, fetchText);
-          }
-
-          requestAnimationFrame(animateResponseText);
-        }
-
-        // start animaion
-        animateResponseText();
-
-        const finish = () => {
-          if (!finished) {
-            finished = true;
-            options.onFinish(responseText + remainText);
-          }
-        };
-
-        controller.signal.onabort = finish;
-
-        fetchEventSource(chatPath, {
-          ...chatPayload,
-          async onopen(res) {
-            clearTimeout(requestTimeoutId);
-            const contentType = res.headers.get("content-type");
-            console.log(
-              "[ByteDance] request response content type: ",
-              contentType,
-            );
-
-            if (contentType?.startsWith("text/plain")) {
-              responseText = await res.clone().text();
-              return finish();
+            if (!choices?.length) return { isThinking: false, content: "" };
+
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
             }
+            const reasoning = choices[0]?.delta?.reasoning_content;
+            const content = choices[0]?.delta?.content;
 
+            // Skip if both content and reasoning_content are empty or null
             if (
-              !res.ok ||
-              !res.headers
-                .get("content-type")
-                ?.startsWith(EventStreamContentType) ||
-              res.status !== 200
+              (!reasoning || reasoning.length === 0) &&
+              (!content || content.length === 0)
             ) {
-              const responseTexts = [responseText];
-              let extraInfo = await res.clone().text();
-              try {
-                const resJson = await res.clone().json();
-                extraInfo = prettyObject(resJson);
-              } catch {}
-
-              if (res.status === 401) {
-                responseTexts.push(Locale.Error.Unauthorized);
-              }
-
-              if (extraInfo) {
-                responseTexts.push(extraInfo);
-              }
-
-              responseText = responseTexts.join("\n\n");
-
-              return finish();
+              return {
+                isThinking: false,
+                content: "",
+              };
             }
-          },
-          onmessage(msg) {
-            if (msg.data === "[DONE]" || finished) {
-              return finish();
-            }
-            const text = msg.data;
-            try {
-              const json = JSON.parse(text);
-              const choices = json.choices as Array<{
-                delta: { content: string };
-              }>;
-              const delta = choices[0]?.delta?.content;
-              if (delta) {
-                remainText += delta;
-              }
-            } catch (e) {
-              console.error("[Request] parse error", text, msg);
+
+            if (reasoning && reasoning.length > 0) {
+              return {
+                isThinking: true,
+                content: reasoning,
+              };
+            } else if (content && content.length > 0) {
+              return {
+                isThinking: false,
+                content: content,
+              };
             }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
           },
-          onclose() {
-            finish();
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayloadForByteDance,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            requestPayload?.messages?.splice(
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
           },
-          onerror(e) {
-            options.onError?.(e);
-            throw e;
-          },
-          openWhenHidden: true,
-        });
+          options,
+        );
       } else {
         const res = await fetch(chatPath, chatPayload);
         clearTimeout(requestTimeoutId);
 
         const resJson = await res.json();
         const message = this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/deepseek.ts

@@ -0,0 +1,253 @@
+"use client";
+// azure and openai, using same models. so using same LLMApi.
+import { ApiPath, DEEPSEEK_BASE_URL, DeepSeek } from "@/app/constant";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import { streamWithThink } from "@/app/utils/chat";
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  SpeechOptions,
+} from "../api";
+import { getClientConfig } from "@/app/config/client";
+import {
+  getMessageTextContent,
+  getMessageTextContentWithoutThinking,
+  getTimeoutMSByModel,
+} from "@/app/utils";
+import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
+
+export class DeepSeekApi implements LLMApi {
+  private disableListModels = true;
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+
+    let baseUrl = "";
+
+    if (accessStore.useCustomConfig) {
+      baseUrl = accessStore.deepseekUrl;
+    }
+
+    if (baseUrl.length === 0) {
+      const isApp = !!getClientConfig()?.isApp;
+      const apiPath = ApiPath.DeepSeek;
+      baseUrl = isApp ? DEEPSEEK_BASE_URL : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.DeepSeek)) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
+    throw new Error("Method not implemented.");
+  }
+
+  async chat(options: ChatOptions) {
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      if (v.role === "assistant") {
+        const content = getMessageTextContentWithoutThinking(v);
+        messages.push({ role: v.role, content });
+      } else {
+        const content = getMessageTextContent(v);
+        messages.push({ role: v.role, content });
+      }
+    }
+
+    // 检测并修复消息顺序，确保除system外的第一个消息是user
+    const filteredMessages: ChatOptions["messages"] = [];
+    let hasFoundFirstUser = false;
+
+    for (const msg of messages) {
+      if (msg.role === "system") {
+        // Keep all system messages
+        filteredMessages.push(msg);
+      } else if (msg.role === "user") {
+        // User message directly added
+        filteredMessages.push(msg);
+        hasFoundFirstUser = true;
+      } else if (hasFoundFirstUser) {
+        // After finding the first user message, all subsequent non-system messages are retained.
+        filteredMessages.push(msg);
+      }
+      // If hasFoundFirstUser is false and it is not a system message, it will be skipped.
+    }
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+        providerName: options.config.providerName,
+      },
+    };
+
+    const requestPayload: RequestPayload = {
+      messages: filteredMessages,
+      stream: options.config.stream,
+      model: modelConfig.model,
+      temperature: modelConfig.temperature,
+      presence_penalty: modelConfig.presence_penalty,
+      frequency_penalty: modelConfig.frequency_penalty,
+      top_p: modelConfig.top_p,
+      // max_tokens: Math.max(modelConfig.max_tokens, 1024),
+      // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
+    };
+
+    console.log("[Request] openai payload: ", requestPayload);
+
+    const shouldStream = !!options.config.stream;
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPath = this.path(DeepSeek.ChatPath);
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      // make a fetch request
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        getTimeoutMSByModel(options.config.model),
+      );
+
+      if (shouldStream) {
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return streamWithThink(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string | null;
+                tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
+              };
+            }>;
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
+            }
+            const reasoning = choices[0]?.delta?.reasoning_content;
+            const content = choices[0]?.delta?.content;
+
+            // Skip if both content and reasoning_content are empty or null
+            if (
+              (!reasoning || reasoning.length === 0) &&
+              (!content || content.length === 0)
+            ) {
+              return {
+                isThinking: false,
+                content: "",
+              };
+            }
+
+            if (reasoning && reasoning.length > 0) {
+              return {
+                isThinking: true,
+                content: reasoning,
+              };
+            } else if (content && content.length > 0) {
+              return {
+                isThinking: false,
+                content: content,
+              };
+            }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.messages?.splice(
+              // @ts-ignore
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
+          },
+          options,
+        );
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message, res);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+  async usage() {
+    return {
+      used: 0,
+      total: 0,
+    };
+  }
+
+  async models(): Promise<LLMModel[]> {
+    return [];
+  }
+}

app/client/platforms/glm.ts

@@ -0,0 +1,292 @@
+"use client";
+import { ApiPath, CHATGLM_BASE_URL, ChatGLM } from "@/app/constant";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import { stream } from "@/app/utils/chat";
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  SpeechOptions,
+} from "../api";
+import { getClientConfig } from "@/app/config/client";
+import {
+  getMessageTextContent,
+  isVisionModel,
+  getTimeoutMSByModel,
+} from "@/app/utils";
+import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
+import { preProcessImageContent } from "@/app/utils/chat";
+
+interface BasePayload {
+  model: string;
+}
+
+interface ChatPayload extends BasePayload {
+  messages: ChatOptions["messages"];
+  stream?: boolean;
+  temperature?: number;
+  presence_penalty?: number;
+  frequency_penalty?: number;
+  top_p?: number;
+}
+
+interface ImageGenerationPayload extends BasePayload {
+  prompt: string;
+  size?: string;
+  user_id?: string;
+}
+
+interface VideoGenerationPayload extends BasePayload {
+  prompt: string;
+  duration?: number;
+  resolution?: string;
+  user_id?: string;
+}
+
+type ModelType = "chat" | "image" | "video";
+
+export class ChatGLMApi implements LLMApi {
+  private disableListModels = true;
+
+  private getModelType(model: string): ModelType {
+    if (model.startsWith("cogview-")) return "image";
+    if (model.startsWith("cogvideo-")) return "video";
+    return "chat";
+  }
+
+  private getModelPath(type: ModelType): string {
+    switch (type) {
+      case "image":
+        return ChatGLM.ImagePath;
+      case "video":
+        return ChatGLM.VideoPath;
+      default:
+        return ChatGLM.ChatPath;
+    }
+  }
+
+  private createPayload(
+    messages: ChatOptions["messages"],
+    modelConfig: any,
+    options: ChatOptions,
+  ): BasePayload {
+    const modelType = this.getModelType(modelConfig.model);
+    const lastMessage = messages[messages.length - 1];
+    const prompt =
+      typeof lastMessage.content === "string"
+        ? lastMessage.content
+        : lastMessage.content.map((c) => c.text).join("\n");
+
+    switch (modelType) {
+      case "image":
+        return {
+          model: modelConfig.model,
+          prompt,
+          size: options.config.size,
+        } as ImageGenerationPayload;
+      default:
+        return {
+          messages,
+          stream: options.config.stream,
+          model: modelConfig.model,
+          temperature: modelConfig.temperature,
+          presence_penalty: modelConfig.presence_penalty,
+          frequency_penalty: modelConfig.frequency_penalty,
+          top_p: modelConfig.top_p,
+        } as ChatPayload;
+    }
+  }
+
+  private parseResponse(modelType: ModelType, json: any): string {
+    switch (modelType) {
+      case "image": {
+        const imageUrl = json.data?.[0]?.url;
+        return imageUrl ? `![Generated Image](${imageUrl})` : "";
+      }
+      case "video": {
+        const videoUrl = json.data?.[0]?.url;
+        return videoUrl ? `<video controls src="${videoUrl}"></video>` : "";
+      }
+      default:
+        return this.extractMessage(json);
+    }
+  }
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+    let baseUrl = "";
+
+    if (accessStore.useCustomConfig) {
+      baseUrl = accessStore.chatglmUrl;
+    }
+
+    if (baseUrl.length === 0) {
+      const isApp = !!getClientConfig()?.isApp;
+      const apiPath = ApiPath.ChatGLM;
+      baseUrl = isApp ? CHATGLM_BASE_URL : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.ChatGLM)) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
+    throw new Error("Method not implemented.");
+  }
+
+  async chat(options: ChatOptions) {
+    const visionModel = isVisionModel(options.config.model);
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      const content = visionModel
+        ? await preProcessImageContent(v.content)
+        : getMessageTextContent(v);
+      messages.push({ role: v.role, content });
+    }
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+        providerName: options.config.providerName,
+      },
+    };
+    const modelType = this.getModelType(modelConfig.model);
+    const requestPayload = this.createPayload(messages, modelConfig, options);
+    const path = this.path(this.getModelPath(modelType));
+
+    console.log(`[Request] glm ${modelType} payload: `, requestPayload);
+
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        getTimeoutMSByModel(options.config.model),
+      );
+
+      if (modelType === "image" || modelType === "video") {
+        const res = await fetch(path, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        console.log(`[Response] glm ${modelType}:`, resJson);
+        const message = this.parseResponse(modelType, resJson);
+        options.onFinish(message, res);
+        return;
+      }
+
+      const shouldStream = !!options.config.stream;
+      if (shouldStream) {
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return stream(
+          path,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string;
+                tool_calls: ChatMessageTool[];
+              };
+            }>;
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
+            }
+            return choices[0]?.delta?.content;
+          },
+          // processToolMessage
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.messages?.splice(
+              // @ts-ignore
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
+          },
+          options,
+        );
+      } else {
+        const res = await fetch(path, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message, res);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+
+  async usage() {
+    return {
+      used: 0,
+      total: 0,
+    };
+  }
+
+  async models(): Promise<LLMModel[]> {
+    return [];
+  }
+}

app/client/platforms/google.ts

@@ -1,4 +1,4 @@
-import { ApiPath, Google, REQUEST_TIMEOUT_MS } from "@/app/constant";
+import { ApiPath, Google } from "@/app/constant";
 import {
   ChatOptions,
   getHeaders,
@@ -7,24 +7,30 @@ import {
   LLMUsage,
   SpeechOptions,
 } from "../api";
-import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
-import { getClientConfig } from "@/app/config/client";
-import { DEFAULT_API_HOST } from "@/app/constant";
-import Locale from "../../locales";
 import {
-  EventStreamContentType,
-  fetchEventSource,
-} from "@fortaine/fetch-event-source";
-import { prettyObject } from "@/app/utils/format";
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  usePluginStore,
+  ChatMessageTool,
+} from "@/app/store";
+import { stream } from "@/app/utils/chat";
+import { getClientConfig } from "@/app/config/client";
+import { GEMINI_BASE_URL } from "@/app/constant";
+
 import {
   getMessageTextContent,
   getMessageImages,
   isVisionModel,
+  getTimeoutMSByModel,
 } from "@/app/utils";
 import { preProcessImageContent } from "@/app/utils/chat";
+import { nanoid } from "nanoid";
+import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
 
 export class GeminiProApi implements LLMApi {
-  path(path: string): string {
+  path(path: string, shouldStream = false): string {
     const accessStore = useAccessStore.getState();
 
     let baseUrl = "";
@@ -34,7 +40,7 @@ export class GeminiProApi implements LLMApi {
 
     const isApp = !!getClientConfig()?.isApp;
     if (baseUrl.length === 0) {
-      baseUrl = isApp ? DEFAULT_API_HOST + `/api/proxy/google` : ApiPath.Google;
+      baseUrl = isApp ? GEMINI_BASE_URL : ApiPath.Google;
     }
     if (baseUrl.endsWith("/")) {
       baseUrl = baseUrl.slice(0, baseUrl.length - 1);
@@ -46,19 +52,34 @@ export class GeminiProApi implements LLMApi {
     console.log("[Proxy Endpoint] ", baseUrl, path);
 
     let chatPath = [baseUrl, path].join("/");
-
-    chatPath += chatPath.includes("?") ? "&alt=sse" : "?alt=sse";
-    // if chatPath.startsWith('http') then add key in query string
-    if (chatPath.startsWith("http") && accessStore.googleApiKey) {
-      chatPath += `&key=${accessStore.googleApiKey}`;
+    if (shouldStream) {
+      chatPath += chatPath.includes("?") ? "&alt=sse" : "?alt=sse";
     }
+
     return chatPath;
   }
   extractMessage(res: any) {
     console.log("[Response] gemini-pro response: ", res);
 
+    const getTextFromParts = (parts: any[]) => {
+      if (!Array.isArray(parts)) return "";
+
+      return parts
+        .map((part) => part?.text || "")
+        .filter((text) => text.trim() !== "")
+        .join("\n\n");
+    };
+
+    let content = "";
+    if (Array.isArray(res)) {
+      res.map((item) => {
+        content += getTextFromParts(item?.candidates?.at(0)?.content?.parts);
+      });
+    }
+
     return (
-      res?.candidates?.at(0)?.content?.parts.at(0)?.text ||
+      getTextFromParts(res?.candidates?.at(0)?.content?.parts) ||
+      content || //getTextFromParts(res?.at(0)?.candidates?.at(0)?.content?.parts) ||
       res?.error?.message ||
       ""
     );
@@ -165,7 +186,10 @@ export class GeminiProApi implements LLMApi {
     options.onController?.(controller);
     try {
       // https://github.com/google-gemini/cookbook/blob/main/quickstarts/rest/Streaming_REST.ipynb
-      const chatPath = this.path(Google.ChatPath(modelConfig.model));
+      const chatPath = this.path(
+        Google.ChatPath(modelConfig.model),
+        shouldStream,
+      );
 
       const chatPayload = {
         method: "POST",
@@ -174,121 +198,95 @@ export class GeminiProApi implements LLMApi {
         headers: getHeaders(),
       };
 
+      const isThinking = options.config.model.includes("-thinking");
       // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
+        getTimeoutMSByModel(options.config.model),
       );
 
       if (shouldStream) {
-        let responseText = "";
-        let remainText = "";
-        let finished = false;
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return stream(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          // @ts-ignore
+          tools.length > 0
+            ? // @ts-ignore
+              [{ functionDeclarations: tools.map((tool) => tool.function) }]
+            : [],
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const chunkJson = JSON.parse(text);
 
-        const finish = () => {
-          if (!finished) {
-            finished = true;
-            options.onFinish(responseText + remainText);
-          }
-        };
-
-        // animate response to make it looks smooth
-        function animateResponseText() {
-          if (finished || controller.signal.aborted) {
-            responseText += remainText;
-            finish();
-            return;
-          }
-
-          if (remainText.length > 0) {
-            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
-            const fetchText = remainText.slice(0, fetchCount);
-            responseText += fetchText;
-            remainText = remainText.slice(fetchCount);
-            options.onUpdate?.(responseText, fetchText);
-          }
-
-          requestAnimationFrame(animateResponseText);
-        }
-
-        // start animaion
-        animateResponseText();
-
-        controller.signal.onabort = finish;
-
-        fetchEventSource(chatPath, {
-          ...chatPayload,
-          async onopen(res) {
-            clearTimeout(requestTimeoutId);
-            const contentType = res.headers.get("content-type");
-            console.log(
-              "[Gemini] request response content type: ",
-              contentType,
+            const functionCall = chunkJson?.candidates
+              ?.at(0)
+              ?.content.parts.at(0)?.functionCall;
+            if (functionCall) {
+              const { name, args } = functionCall;
+              runTools.push({
+                id: nanoid(),
+                type: "function",
+                function: {
+                  name,
+                  arguments: JSON.stringify(args), // utils.chat call function, using JSON.parse
+                },
+              });
+            }
+            return chunkJson?.candidates
+              ?.at(0)
+              ?.content.parts?.map((part: { text: string }) => part.text)
+              .join("\n\n");
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.contents?.splice(
+              // @ts-ignore
+              requestPayload?.contents?.length,
+              0,
+              {
+                role: "model",
+                parts: toolCallMessage.tool_calls.map(
+                  (tool: ChatMessageTool) => ({
+                    functionCall: {
+                      name: tool?.function?.name,
+                      args: JSON.parse(tool?.function?.arguments as string),
+                    },
+                  }),
+                ),
+              },
+              // @ts-ignore
+              ...toolCallResult.map((result) => ({
+                role: "function",
+                parts: [
+                  {
+                    functionResponse: {
+                      name: result.name,
+                      response: {
+                        name: result.name,
+                        content: result.content, // TODO just text content...
+                      },
+                    },
+                  },
+                ],
+              })),
             );
-
-            if (contentType?.startsWith("text/plain")) {
-              responseText = await res.clone().text();
-              return finish();
-            }
-
-            if (
-              !res.ok ||
-              !res.headers
-                .get("content-type")
-                ?.startsWith(EventStreamContentType) ||
-              res.status !== 200
-            ) {
-              const responseTexts = [responseText];
-              let extraInfo = await res.clone().text();
-              try {
-                const resJson = await res.clone().json();
-                extraInfo = prettyObject(resJson);
-              } catch {}
-
-              if (res.status === 401) {
-                responseTexts.push(Locale.Error.Unauthorized);
-              }
-
-              if (extraInfo) {
-                responseTexts.push(extraInfo);
-              }
-
-              responseText = responseTexts.join("\n\n");
-
-              return finish();
-            }
           },
-          onmessage(msg) {
-            if (msg.data === "[DONE]" || finished) {
-              return finish();
-            }
-            const text = msg.data;
-            try {
-              const json = JSON.parse(text);
-              const delta = apiClient.extractMessage(json);
-
-              if (delta) {
-                remainText += delta;
-              }
-
-              const blockReason = json?.promptFeedback?.blockReason;
-              if (blockReason) {
-                // being blocked
-                console.log(`[Google] [Safety Ratings] result:`, blockReason);
-              }
-            } catch (e) {
-              console.error("[Request] parse error", text, msg);
-            }
-          },
-          onclose() {
-            finish();
-          },
-          onerror(e) {
-            options.onError?.(e);
-            throw e;
-          },
-          openWhenHidden: true,
-        });
+          options,
+        );
       } else {
         const res = await fetch(chatPath, chatPayload);
         clearTimeout(requestTimeoutId);
@@ -303,7 +301,7 @@ export class GeminiProApi implements LLMApi {
           );
         }
         const message = apiClient.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/iflytek.ts

@@ -1,7 +1,7 @@
 "use client";
 import {
   ApiPath,
-  DEFAULT_API_HOST,
+  IFLYTEK_BASE_URL,
   Iflytek,
   REQUEST_TIMEOUT_MS,
 } from "@/app/constant";
@@ -22,6 +22,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
 import { getMessageTextContent } from "@/app/utils";
+import { fetch } from "@/app/utils/stream";
 
 import { RequestPayload } from "./openai";
 
@@ -40,7 +41,7 @@ export class SparkApi implements LLMApi {
     if (baseUrl.length === 0) {
       const isApp = !!getClientConfig()?.isApp;
       const apiPath = ApiPath.Iflytek;
-      baseUrl = isApp ? DEFAULT_API_HOST + "/proxy" + apiPath : apiPath;
+      baseUrl = isApp ? IFLYTEK_BASE_URL : apiPath;
     }
 
     if (baseUrl.endsWith("/")) {
@@ -116,6 +117,7 @@ export class SparkApi implements LLMApi {
         let responseText = "";
         let remainText = "";
         let finished = false;
+        let responseRes: Response;
 
         // Animate response text to make it look smooth
         function animateResponseText() {
@@ -142,19 +144,20 @@ export class SparkApi implements LLMApi {
         const finish = () => {
           if (!finished) {
             finished = true;
-            options.onFinish(responseText + remainText);
+            options.onFinish(responseText + remainText, responseRes);
           }
         };
 
         controller.signal.onabort = finish;
 
         fetchEventSource(chatPath, {
+          fetch: fetch as any,
           ...chatPayload,
           async onopen(res) {
             clearTimeout(requestTimeoutId);
             const contentType = res.headers.get("content-type");
             console.log("[Spark] request response content type: ", contentType);
-
+            responseRes = res;
             if (contentType?.startsWith("text/plain")) {
               responseText = await res.clone().text();
               return finish();
@@ -229,7 +232,7 @@ export class SparkApi implements LLMApi {
 
         const resJson = await res.json();
         const message = this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/moonshot.ts

@@ -2,7 +2,7 @@
 // azure and openai, using same models. so using same LLMApi.
 import {
   ApiPath,
-  DEFAULT_API_HOST,
+  MOONSHOT_BASE_URL,
   Moonshot,
   REQUEST_TIMEOUT_MS,
 } from "@/app/constant";
@@ -24,6 +24,7 @@ import {
 import { getClientConfig } from "@/app/config/client";
 import { getMessageTextContent } from "@/app/utils";
 import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
 
 export class MoonshotApi implements LLMApi {
   private disableListModels = true;
@@ -40,7 +41,7 @@ export class MoonshotApi implements LLMApi {
     if (baseUrl.length === 0) {
       const isApp = !!getClientConfig()?.isApp;
       const apiPath = ApiPath.Moonshot;
-      baseUrl = isApp ? DEFAULT_API_HOST + "/proxy" + apiPath : apiPath;
+      baseUrl = isApp ? MOONSHOT_BASE_URL : apiPath;
     }
 
     if (baseUrl.endsWith("/")) {
@@ -179,7 +180,7 @@ export class MoonshotApi implements LLMApi {
 
         const resJson = await res.json();
         const message = this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/openai.ts

@@ -2,7 +2,7 @@
 // azure and openai, using same models. so using same LLMApi.
 import {
   ApiPath,
-  DEFAULT_API_HOST,
+  OPENAI_BASE_URL,
   DEFAULT_MODELS,
   OpenaiPath,
   Azure,
@@ -21,10 +21,10 @@ import {
   preProcessImageContent,
   uploadImage,
   base64Image2Blob,
-  stream,
+  streamWithThink,
 } from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
-import { DalleSize, DalleQuality, DalleStyle } from "@/app/typing";
+import { ModelSize, DalleQuality, DalleStyle } from "@/app/typing";
 
 import {
   ChatOptions,
@@ -41,7 +41,9 @@ import {
   getMessageTextContent,
   isVisionModel,
   isDalle3 as _isDalle3,
+  getTimeoutMSByModel,
 } from "@/app/utils";
+import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
   object: string;
@@ -54,7 +56,7 @@ export interface OpenAIListModelResponse {
 
 export interface RequestPayload {
   messages: {
-    role: "system" | "user" | "assistant";
+    role: "developer" | "system" | "user" | "assistant";
     content: string | MultimodalContent[];
   }[];
   stream?: boolean;
@@ -64,6 +66,7 @@ export interface RequestPayload {
   frequency_penalty: number;
   top_p: number;
   max_tokens?: number;
+  max_completion_tokens?: number;
 }
 
 export interface DalleRequestPayload {
@@ -71,7 +74,7 @@ export interface DalleRequestPayload {
   prompt: string;
   response_format: "url" | "b64_json";
   n: number;
-  size: DalleSize;
+  size: ModelSize;
   quality: DalleQuality;
   style: DalleStyle;
 }
@@ -98,7 +101,7 @@ export class ChatGPTApi implements LLMApi {
     if (baseUrl.length === 0) {
       const isApp = !!getClientConfig()?.isApp;
       const apiPath = isAzure ? ApiPath.Azure : ApiPath.OpenAI;
-      baseUrl = isApp ? DEFAULT_API_HOST + "/proxy" + apiPath : apiPath;
+      baseUrl = isApp ? OPENAI_BASE_URL : apiPath;
     }
 
     if (baseUrl.endsWith("/")) {
@@ -193,7 +196,11 @@ export class ChatGPTApi implements LLMApi {
     let requestPayload: RequestPayload | DalleRequestPayload;
 
     const isDalle3 = _isDalle3(options.config.model);
-    const isO1 = options.config.model.startsWith("o1");
+    const isO1OrO3 =
+      options.config.model.startsWith("o1") ||
+      options.config.model.startsWith("o3") ||
+      options.config.model.startsWith("o4-mini");
+    const isGpt5 =  options.config.model.startsWith("gpt-5");
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -215,32 +222,52 @@ export class ChatGPTApi implements LLMApi {
         const content = visionModel
           ? await preProcessImageContent(v.content)
           : getMessageTextContent(v);
-        if (!(isO1 && v.role === "system"))
+        if (!(isO1OrO3 && v.role === "system"))
           messages.push({ role: v.role, content });
       }
 
       // O1 not support image, tools (plugin in ChatGPTNextWeb) and system, stream, logprobs, temperature, top_p, n, presence_penalty, frequency_penalty yet.
       requestPayload = {
         messages,
-        stream: !isO1 ? options.config.stream : false,
+        stream: options.config.stream,
         model: modelConfig.model,
-        temperature: !isO1 ? modelConfig.temperature : 1,
-        presence_penalty: !isO1 ? modelConfig.presence_penalty : 0,
-        frequency_penalty: !isO1 ? modelConfig.frequency_penalty : 0,
-        top_p: !isO1 ? modelConfig.top_p : 1,
+        temperature: (!isO1OrO3 && !isGpt5) ? modelConfig.temperature : 1,
+        presence_penalty: !isO1OrO3 ? modelConfig.presence_penalty : 0,
+        frequency_penalty: !isO1OrO3 ? modelConfig.frequency_penalty : 0,
+        top_p: !isO1OrO3 ? modelConfig.top_p : 1,
         // max_tokens: Math.max(modelConfig.max_tokens, 1024),
         // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
+      if (isGpt5) {
+  	// Remove max_tokens if present
+  	delete requestPayload.max_tokens;
+  	// Add max_completion_tokens (or max_completion_tokens if that's what you meant)
+  	requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+
+      } else if (isO1OrO3) {
+        // by default the o1/o3 models will not attempt to produce output that includes markdown formatting
+        // manually add "Formatting re-enabled" developer message to encourage markdown inclusion in model responses
+        // (https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/reasoning?tabs=python-secure#markdown-output)
+        requestPayload["messages"].unshift({
+          role: "developer",
+          content: "Formatting re-enabled",
+        });
+
+        // o1/o3 uses max_completion_tokens to control the number of tokens (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
+        requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+      }
+
+
       // add max_tokens to vision model
-      if (visionModel) {
+      if (visionModel && !isO1OrO3 && ! isGpt5) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }
 
     console.log("[Request] openai payload: ", requestPayload);
 
-    const shouldStream = !isDalle3 && !!options.config.stream && !isO1;
+    const shouldStream = !isDalle3 && !!options.config.stream;
     const controller = new AbortController();
     options.onController?.(controller);
 
@@ -277,13 +304,14 @@ export class ChatGPTApi implements LLMApi {
         );
       }
       if (shouldStream) {
+        let index = -1;
         const [tools, funcs] = usePluginStore
           .getState()
           .getAsTools(
             useChatStore.getState().currentSession().mask?.plugin || [],
           );
         // console.log("getAsTools", tools, funcs);
-        stream(
+        streamWithThink(
           chatPath,
           requestPayload,
           getHeaders(),
@@ -298,14 +326,18 @@ export class ChatGPTApi implements LLMApi {
               delta: {
                 content: string;
                 tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
               };
             }>;
+
+            if (!choices?.length) return { isThinking: false, content: "" };
+
             const tool_calls = choices[0]?.delta?.tool_calls;
             if (tool_calls?.length > 0) {
-              const index = tool_calls[0]?.index;
               const id = tool_calls[0]?.id;
               const args = tool_calls[0]?.function?.arguments;
               if (id) {
+                index += 1;
                 runTools.push({
                   id,
                   type: tool_calls[0]?.type,
@@ -319,7 +351,37 @@ export class ChatGPTApi implements LLMApi {
                 runTools[index]["function"]["arguments"] += args;
               }
             }
-            return choices[0]?.delta?.content;
+
+            const reasoning = choices[0]?.delta?.reasoning_content;
+            const content = choices[0]?.delta?.content;
+
+            // Skip if both content and reasoning_content are empty or null
+            if (
+              (!reasoning || reasoning.length === 0) &&
+              (!content || content.length === 0)
+            ) {
+              return {
+                isThinking: false,
+                content: "",
+              };
+            }
+
+            if (reasoning && reasoning.length > 0) {
+              return {
+                isThinking: true,
+                content: reasoning,
+              };
+            } else if (content && content.length > 0) {
+              return {
+                isThinking: false,
+                content: content,
+              };
+            }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
           },
           // processToolMessage, include tool_calls message and tool call results
           (
@@ -327,6 +389,8 @@ export class ChatGPTApi implements LLMApi {
             toolCallMessage: any,
             toolCallResult: any[],
           ) => {
+            // reset index value
+            index = -1;
             // @ts-ignore
             requestPayload?.messages?.splice(
               // @ts-ignore
@@ -349,7 +413,7 @@ export class ChatGPTApi implements LLMApi {
         // make a fetch request
         const requestTimeoutId = setTimeout(
           () => controller.abort(),
-          isDalle3 || isO1 ? REQUEST_TIMEOUT_MS * 2 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
+          getTimeoutMSByModel(options.config.model),
         );
 
         const res = await fetch(chatPath, chatPayload);
@@ -357,7 +421,7 @@ export class ChatGPTApi implements LLMApi {
 
         const resJson = await res.json();
         const message = await this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/siliconflow.ts

@@ -0,0 +1,287 @@
+"use client";
+// azure and openai, using same models. so using same LLMApi.
+import {
+  ApiPath,
+  SILICONFLOW_BASE_URL,
+  SiliconFlow,
+  DEFAULT_MODELS,
+} from "@/app/constant";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import { preProcessImageContent, streamWithThink } from "@/app/utils/chat";
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  SpeechOptions,
+} from "../api";
+import { getClientConfig } from "@/app/config/client";
+import {
+  getMessageTextContent,
+  getMessageTextContentWithoutThinking,
+  isVisionModel,
+  getTimeoutMSByModel,
+} from "@/app/utils";
+import { RequestPayload } from "./openai";
+
+import { fetch } from "@/app/utils/stream";
+export interface SiliconFlowListModelResponse {
+  object: string;
+  data: Array<{
+    id: string;
+    object: string;
+    root: string;
+  }>;
+}
+
+export class SiliconflowApi implements LLMApi {
+  private disableListModels = false;
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+
+    let baseUrl = "";
+
+    if (accessStore.useCustomConfig) {
+      baseUrl = accessStore.siliconflowUrl;
+    }
+
+    if (baseUrl.length === 0) {
+      const isApp = !!getClientConfig()?.isApp;
+      const apiPath = ApiPath.SiliconFlow;
+      baseUrl = isApp ? SILICONFLOW_BASE_URL : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (
+      !baseUrl.startsWith("http") &&
+      !baseUrl.startsWith(ApiPath.SiliconFlow)
+    ) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
+    throw new Error("Method not implemented.");
+  }
+
+  async chat(options: ChatOptions) {
+    const visionModel = isVisionModel(options.config.model);
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      if (v.role === "assistant") {
+        const content = getMessageTextContentWithoutThinking(v);
+        messages.push({ role: v.role, content });
+      } else {
+        const content = visionModel
+          ? await preProcessImageContent(v.content)
+          : getMessageTextContent(v);
+        messages.push({ role: v.role, content });
+      }
+    }
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+        providerName: options.config.providerName,
+      },
+    };
+
+    const requestPayload: RequestPayload = {
+      messages,
+      stream: options.config.stream,
+      model: modelConfig.model,
+      temperature: modelConfig.temperature,
+      presence_penalty: modelConfig.presence_penalty,
+      frequency_penalty: modelConfig.frequency_penalty,
+      top_p: modelConfig.top_p,
+      // max_tokens: Math.max(modelConfig.max_tokens, 1024),
+      // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
+    };
+
+    console.log("[Request] openai payload: ", requestPayload);
+
+    const shouldStream = !!options.config.stream;
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPath = this.path(SiliconFlow.ChatPath);
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      // console.log(chatPayload);
+
+      // Use extended timeout for thinking models as they typically require more processing time
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        getTimeoutMSByModel(options.config.model),
+      );
+
+      if (shouldStream) {
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return streamWithThink(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string | null;
+                tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
+              };
+            }>;
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
+            }
+            const reasoning = choices[0]?.delta?.reasoning_content;
+            const content = choices[0]?.delta?.content;
+
+            // Skip if both content and reasoning_content are empty or null
+            if (
+              (!reasoning || reasoning.length === 0) &&
+              (!content || content.length === 0)
+            ) {
+              return {
+                isThinking: false,
+                content: "",
+              };
+            }
+
+            if (reasoning && reasoning.length > 0) {
+              return {
+                isThinking: true,
+                content: reasoning,
+              };
+            } else if (content && content.length > 0) {
+              return {
+                isThinking: false,
+                content: content,
+              };
+            }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.messages?.splice(
+              // @ts-ignore
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
+          },
+          options,
+        );
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message, res);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+  async usage() {
+    return {
+      used: 0,
+      total: 0,
+    };
+  }
+
+  async models(): Promise<LLMModel[]> {
+    if (this.disableListModels) {
+      return DEFAULT_MODELS.slice();
+    }
+
+    const res = await fetch(this.path(SiliconFlow.ListModelPath), {
+      method: "GET",
+      headers: {
+        ...getHeaders(),
+      },
+    });
+
+    const resJson = (await res.json()) as SiliconFlowListModelResponse;
+    const chatModels = resJson.data;
+    console.log("[Models]", chatModels);
+
+    if (!chatModels) {
+      return [];
+    }
+
+    let seq = 1000; //同 Constant.ts 中的排序保持一致
+    return chatModels.map((m) => ({
+      name: m.id,
+      available: true,
+      sorted: seq++,
+      provider: {
+        id: "siliconflow",
+        providerName: "SiliconFlow",
+        providerType: "siliconflow",
+        sorted: 14,
+      },
+    }));
+  }
+}

app/client/platforms/tencent.ts

@@ -1,5 +1,5 @@
 "use client";
-import { ApiPath, DEFAULT_API_HOST, REQUEST_TIMEOUT_MS } from "@/app/constant";
+import { ApiPath, TENCENT_BASE_URL } from "@/app/constant";
 import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
 
 import {
@@ -17,11 +17,16 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent, isVisionModel } from "@/app/utils";
+import {
+  getMessageTextContent,
+  isVisionModel,
+  getTimeoutMSByModel,
+} from "@/app/utils";
 import mapKeys from "lodash-es/mapKeys";
 import mapValues from "lodash-es/mapValues";
 import isArray from "lodash-es/isArray";
 import isObject from "lodash-es/isObject";
+import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
   object: string;
@@ -70,9 +75,7 @@ export class HunyuanApi implements LLMApi {
 
     if (baseUrl.length === 0) {
       const isApp = !!getClientConfig()?.isApp;
-      baseUrl = isApp
-        ? DEFAULT_API_HOST + "/api/proxy/tencent"
-        : ApiPath.Tencent;
+      baseUrl = isApp ? TENCENT_BASE_URL : ApiPath.Tencent;
     }
 
     if (baseUrl.endsWith("/")) {
@@ -136,13 +139,14 @@ export class HunyuanApi implements LLMApi {
       // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
+        getTimeoutMSByModel(options.config.model),
       );
 
       if (shouldStream) {
         let responseText = "";
         let remainText = "";
         let finished = false;
+        let responseRes: Response;
 
         // animate response to make it looks smooth
         function animateResponseText() {
@@ -172,13 +176,14 @@ export class HunyuanApi implements LLMApi {
         const finish = () => {
           if (!finished) {
             finished = true;
-            options.onFinish(responseText + remainText);
+            options.onFinish(responseText + remainText, responseRes);
           }
         };
 
         controller.signal.onabort = finish;
 
         fetchEventSource(chatPath, {
+          fetch: fetch as any,
           ...chatPayload,
           async onopen(res) {
             clearTimeout(requestTimeoutId);
@@ -187,7 +192,7 @@ export class HunyuanApi implements LLMApi {
               "[Tencent] request response content type: ",
               contentType,
             );
-
+            responseRes = res;
             if (contentType?.startsWith("text/plain")) {
               responseText = await res.clone().text();
               return finish();
@@ -253,7 +258,7 @@ export class HunyuanApi implements LLMApi {
 
         const resJson = await res.json();
         const message = this.extractMessage(resJson);
-        options.onFinish(message);
+        options.onFinish(message, res);
       }
     } catch (e) {
       console.log("[Request] failed to make a chat request", e);

app/client/platforms/xai.ts

@@ -0,0 +1,194 @@
+"use client";
+// azure and openai, using same models. so using same LLMApi.
+import { ApiPath, XAI_BASE_URL, XAI } from "@/app/constant";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import { stream } from "@/app/utils/chat";
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  SpeechOptions,
+} from "../api";
+import { getClientConfig } from "@/app/config/client";
+import { getTimeoutMSByModel } from "@/app/utils";
+import { preProcessImageContent } from "@/app/utils/chat";
+import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
+
+export class XAIApi implements LLMApi {
+  private disableListModels = true;
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+
+    let baseUrl = "";
+
+    if (accessStore.useCustomConfig) {
+      baseUrl = accessStore.xaiUrl;
+    }
+
+    if (baseUrl.length === 0) {
+      const isApp = !!getClientConfig()?.isApp;
+      const apiPath = ApiPath.XAI;
+      baseUrl = isApp ? XAI_BASE_URL : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.XAI)) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
+    throw new Error("Method not implemented.");
+  }
+
+  async chat(options: ChatOptions) {
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      const content = await preProcessImageContent(v.content);
+      messages.push({ role: v.role, content });
+    }
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+        providerName: options.config.providerName,
+      },
+    };
+
+    const requestPayload: RequestPayload = {
+      messages,
+      stream: options.config.stream,
+      model: modelConfig.model,
+      temperature: modelConfig.temperature,
+      presence_penalty: modelConfig.presence_penalty,
+      frequency_penalty: modelConfig.frequency_penalty,
+      top_p: modelConfig.top_p,
+    };
+
+    console.log("[Request] xai payload: ", requestPayload);
+
+    const shouldStream = !!options.config.stream;
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPath = this.path(XAI.ChatPath);
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      // make a fetch request
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        getTimeoutMSByModel(options.config.model),
+      );
+
+      if (shouldStream) {
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return stream(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string;
+                tool_calls: ChatMessageTool[];
+              };
+            }>;
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
+            }
+            return choices[0]?.delta?.content;
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.messages?.splice(
+              // @ts-ignore
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
+          },
+          options,
+        );
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message, res);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+  async usage() {
+    return {
+      used: 0,
+      total: 0,
+    };
+  }
+
+  async models(): Promise<LLMModel[]> {
+    return [];
+  }
+}

app/components/artifacts.tsx

@@ -29,11 +29,11 @@ type HTMLPreviewProps = {
   onLoad?: (title?: string) => void;
 };
 
-export type HTMLPreviewHander = {
+export type HTMLPreviewHandler = {
   reload: () => void;
 };
 
-export const HTMLPreview = forwardRef<HTMLPreviewHander, HTMLPreviewProps>(
+export const HTMLPreview = forwardRef<HTMLPreviewHandler, HTMLPreviewProps>(
   function HTMLPreview(props, ref) {
     const iframeRef = useRef<HTMLIFrameElement>(null);
     const [frameId, setFrameId] = useState<string>(nanoid());
@@ -207,7 +207,7 @@ export function Artifacts() {
   const [code, setCode] = useState("");
   const [loading, setLoading] = useState(true);
   const [fileName, setFileName] = useState("");
-  const previewRef = useRef<HTMLPreviewHander>(null);
+  const previewRef = useRef<HTMLPreviewHandler>(null);
 
   useEffect(() => {
     if (id) {

app/components/auth.tsx

@@ -11,12 +11,15 @@ import Logo from "../icons/logo.svg";
 import { useMobileScreen } from "@/app/utils";
 import BotIcon from "../icons/bot.svg";
 import { getClientConfig } from "../config/client";
+import { PasswordInput } from "./ui-lib";
 import LeftIcon from "@/app/icons/left.svg";
 import { safeLocalStorage } from "@/app/utils";
 import {
   trackSettingsPageGuideToCPaymentClick,
   trackAuthorizationPageButtonToCPaymentClick,
 } from "../utils/auth-settings-events";
+import clsx from "clsx";
+
 const storage = safeLocalStorage();
 
 export function AuthPage() {
@@ -53,43 +56,50 @@ export function AuthPage() {
           onClick={() => navigate(Path.Home)}
         ></IconButton>
       </div>
-      <div className={`no-dark ${styles["auth-logo"]}`}>
+      <div className={clsx("no-dark", styles["auth-logo"])}>
         <BotIcon />
       </div>
 
       <div className={styles["auth-title"]}>{Locale.Auth.Title}</div>
       <div className={styles["auth-tips"]}>{Locale.Auth.Tips}</div>
 
-      <input
-        className={styles["auth-input"]}
-        type="password"
-        placeholder={Locale.Auth.Input}
+      <PasswordInput
+        style={{ marginTop: "3vh", marginBottom: "3vh" }}
+        aria={Locale.Settings.ShowPassword}
+        aria-label={Locale.Auth.Input}
         value={accessStore.accessCode}
+        type="text"
+        placeholder={Locale.Auth.Input}
         onChange={(e) => {
           accessStore.update(
             (access) => (access.accessCode = e.currentTarget.value),
           );
         }}
       />
+
       {!accessStore.hideUserApiKey ? (
         <>
           <div className={styles["auth-tips"]}>{Locale.Auth.SubTips}</div>
-          <input
-            className={styles["auth-input"]}
-            type="password"
-            placeholder={Locale.Settings.Access.OpenAI.ApiKey.Placeholder}
+          <PasswordInput
+            style={{ marginTop: "3vh", marginBottom: "3vh" }}
+            aria={Locale.Settings.ShowPassword}
+            aria-label={Locale.Settings.Access.OpenAI.ApiKey.Placeholder}
             value={accessStore.openaiApiKey}
+            type="text"
+            placeholder={Locale.Settings.Access.OpenAI.ApiKey.Placeholder}
             onChange={(e) => {
               accessStore.update(
                 (access) => (access.openaiApiKey = e.currentTarget.value),
               );
             }}
           />
-          <input
-            className={styles["auth-input-second"]}
-            type="password"
-            placeholder={Locale.Settings.Access.Google.ApiKey.Placeholder}
+          <PasswordInput
+            style={{ marginTop: "3vh", marginBottom: "3vh" }}
+            aria={Locale.Settings.ShowPassword}
+            aria-label={Locale.Settings.Access.Google.ApiKey.Placeholder}
             value={accessStore.googleApiKey}
+            type="text"
+            placeholder={Locale.Settings.Access.Google.ApiKey.Placeholder}
             onChange={(e) => {
               accessStore.update(
                 (access) => (access.googleApiKey = e.currentTarget.value),
@@ -155,7 +165,7 @@ function TopBanner() {
       onMouseEnter={handleMouseEnter}
       onMouseLeave={handleMouseLeave}
     >
-      <div className={`${styles["top-banner-inner"]} no-dark`}>
+      <div className={clsx(styles["top-banner-inner"], "no-dark")}>
         <Logo className={styles["top-banner-logo"]}></Logo>
         <span>
           {Locale.Auth.TopTips}

app/components/button.tsx

@@ -2,6 +2,7 @@ import * as React from "react";
 
 import styles from "./button.module.scss";
 import { CSSProperties } from "react";
+import clsx from "clsx";
 
 export type ButtonType = "primary" | "danger" | null;
 
@@ -22,12 +23,16 @@ export function IconButton(props: {
 }) {
   return (
     <button
-      className={
-        styles["icon-button"] +
-        ` ${props.bordered && styles.border} ${props.shadow && styles.shadow} ${
-          props.className ?? ""
-        } clickable ${styles[props.type ?? ""]}`
-      }
+      className={clsx(
+        "clickable",
+        styles["icon-button"],
+        {
+          [styles.border]: props.bordered,
+          [styles.shadow]: props.shadow,
+        },
+        styles[props.type ?? ""],
+        props.className,
+      )}
       onClick={props.onClick}
       title={props.title}
       disabled={props.disabled}
@@ -40,10 +45,9 @@ export function IconButton(props: {
       {props.icon && (
         <div
           aria-label={props.text || props.title}
-          className={
-            styles["icon-button-icon"] +
-            ` ${props.type === "primary" && "no-dark"}`
-          }
+          className={clsx(styles["icon-button-icon"], {
+            "no-dark": props.type === "primary",
+          })}
         >
           {props.icon}
         </div>

app/components/chat-list.tsx

@@ -18,6 +18,7 @@ import { Mask } from "../store/mask";
 import { useRef, useEffect } from "react";
 import { showConfirm } from "./ui-lib";
 import { useMobileScreen } from "../utils";
+import clsx from "clsx";
 
 export function ChatItem(props: {
   onClick?: () => void;
@@ -45,11 +46,11 @@ export function ChatItem(props: {
     <Draggable draggableId={`${props.id}`} index={props.index}>
       {(provided) => (
         <div
-          className={`${styles["chat-item"]} ${
-            props.selected &&
-            (currentPath === Path.Chat || currentPath === Path.Home) &&
-            styles["chat-item-selected"]
-          }`}
+          className={clsx(styles["chat-item"], {
+            [styles["chat-item-selected"]]:
+              props.selected &&
+              (currentPath === Path.Chat || currentPath === Path.Home),
+          })}
           onClick={props.onClick}
           ref={(ele) => {
             draggableRef.current = ele;
@@ -63,7 +64,7 @@ export function ChatItem(props: {
         >
           {props.narrow ? (
             <div className={styles["chat-item-narrow"]}>
-              <div className={styles["chat-item-avatar"] + " no-dark"}>
+              <div className={clsx(styles["chat-item-avatar"], "no-dark")}>
                 <MaskAvatar
                   avatar={props.mask.avatar}
                   model={props.mask.modelConfig.model}

app/components/chat.module.scss

@@ -45,6 +45,14 @@
 .chat-input-actions {
   display: flex;
   flex-wrap: wrap;
+  justify-content: space-between;
+  gap: 5px;
+
+  &-end {
+    display: flex;
+    margin-left: auto;
+    gap: 5px;
+  }
 
   .chat-input-action {
     display: inline-flex;
@@ -62,10 +70,6 @@
     width: var(--icon-width);
     overflow: hidden;
 
-    &:not(:last-child) {
-      margin-right: 5px;
-    }
-
     .text {
       white-space: nowrap;
       padding-left: 5px;
@@ -231,10 +235,12 @@
 
   animation: slide-in ease 0.3s;
 
-  $linear: linear-gradient(to right,
-      rgba(0, 0, 0, 0),
-      rgba(0, 0, 0, 1),
-      rgba(0, 0, 0, 0));
+  $linear: linear-gradient(
+    to right,
+    rgba(0, 0, 0, 0),
+    rgba(0, 0, 0, 1),
+    rgba(0, 0, 0, 0)
+  );
   mask-image: $linear;
 
   @mixin show {
@@ -373,7 +379,7 @@
   }
 }
 
-.chat-message-user>.chat-message-container {
+.chat-message-user > .chat-message-container {
   align-items: flex-end;
 }
 
@@ -443,6 +449,25 @@
   transition: all ease 0.3s;
 }
 
+.chat-message-audio {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  border-radius: 10px;
+  background-color: rgba(0, 0, 0, 0.05);
+  border: var(--border-in-light);
+  position: relative;
+  transition: all ease 0.3s;
+  margin-top: 10px;
+  font-size: 14px;
+  user-select: text;
+  word-break: break-word;
+  box-sizing: border-box;
+  audio {
+    height: 30px; /* 调整高度 */
+  }
+}
+
 .chat-message-item-image {
   width: 100%;
   margin-top: 10px;
@@ -471,23 +496,27 @@
   border: rgba($color: #888, $alpha: 0.2) 1px solid;
 }
 
-
 @media only screen and (max-width: 600px) {
-  $calc-image-width: calc(100vw/3*2/var(--image-count));
+  $calc-image-width: calc(100vw / 3 * 2 / var(--image-count));
 
   .chat-message-item-image-multi {
     width: $calc-image-width;
     height: $calc-image-width;
   }
-  
+
   .chat-message-item-image {
-    max-width: calc(100vw/3*2);
+    max-width: calc(100vw / 3 * 2);
   }
 }
 
 @media screen and (min-width: 600px) {
-  $max-image-width: calc(calc(1200px - var(--sidebar-width))/3*2/var(--image-count));
-  $image-width: calc(calc(var(--window-width) - var(--sidebar-width))/3*2/var(--image-count));
+  $max-image-width: calc(
+    calc(1200px - var(--sidebar-width)) / 3 * 2 / var(--image-count)
+  );
+  $image-width: calc(
+    calc(var(--window-width) - var(--sidebar-width)) / 3 * 2 /
+      var(--image-count)
+  );
 
   .chat-message-item-image-multi {
     width: $image-width;
@@ -497,7 +526,7 @@
   }
 
   .chat-message-item-image {
-    max-width: calc(calc(1200px - var(--sidebar-width))/3*2);
+    max-width: calc(calc(1200px - var(--sidebar-width)) / 3 * 2);
   }
 }
 
@@ -515,7 +544,7 @@
   z-index: 1;
 }
 
-.chat-message-user>.chat-message-container>.chat-message-item {
+.chat-message-user > .chat-message-container > .chat-message-item {
   background-color: var(--second);
 
   &:hover {
@@ -626,7 +655,8 @@
   min-height: 68px;
 }
 
-.chat-input:focus {}
+.chat-input:focus {
+}
 
 .chat-input-send {
   background-color: var(--primary);
@@ -693,4 +723,31 @@
 .shortcut-key span {
   font-size: 12px;
   color: var(--black);
-}
+}
+
+.chat-main {
+  display: flex;
+  height: 100%;
+  width: 100%;
+  position: relative;
+  overflow: hidden;
+  .chat-body-container {
+    height: 100%;
+    display: flex;
+    flex-direction: column;
+    flex: 1;
+    width: 100%;
+  }
+  .chat-side-panel {
+    position: absolute;
+    inset: 0;
+    background: var(--white);
+    overflow: hidden;
+    z-index: 10;
+    transform: translateX(100%);
+    transition: all ease 0.3s;
+    &-show {
+      transform: translateX(0);
+    }
+  }
+}

app/components/emoji.tsx

@@ -6,8 +6,21 @@ import EmojiPicker, {
 
 import { ModelType } from "../store";
 
-import BotIcon from "../icons/bot.svg";
-import BlackBotIcon from "../icons/black-bot.svg";
+import BotIconDefault from "../icons/llm-icons/default.svg";
+import BotIconOpenAI from "../icons/llm-icons/openai.svg";
+import BotIconGemini from "../icons/llm-icons/gemini.svg";
+import BotIconGemma from "../icons/llm-icons/gemma.svg";
+import BotIconClaude from "../icons/llm-icons/claude.svg";
+import BotIconMeta from "../icons/llm-icons/meta.svg";
+import BotIconMistral from "../icons/llm-icons/mistral.svg";
+import BotIconDeepseek from "../icons/llm-icons/deepseek.svg";
+import BotIconMoonshot from "../icons/llm-icons/moonshot.svg";
+import BotIconQwen from "../icons/llm-icons/qwen.svg";
+import BotIconWenxin from "../icons/llm-icons/wenxin.svg";
+import BotIconGrok from "../icons/llm-icons/grok.svg";
+import BotIconHunyuan from "../icons/llm-icons/hunyuan.svg";
+import BotIconDoubao from "../icons/llm-icons/doubao.svg";
+import BotIconChatglm from "../icons/llm-icons/chatglm.svg";
 
 export function getEmojiUrl(unified: string, style: EmojiStyle) {
   // Whoever owns this Content Delivery Network (CDN), I am using your CDN to serve emojis
@@ -33,15 +46,55 @@ export function AvatarPicker(props: {
 }
 
 export function Avatar(props: { model?: ModelType; avatar?: string }) {
+  let LlmIcon = BotIconDefault;
+
   if (props.model) {
+    const modelName = props.model.toLowerCase();
+
+    if (
+      modelName.startsWith("gpt") ||
+      modelName.startsWith("chatgpt") ||
+      modelName.startsWith("dall-e") ||
+      modelName.startsWith("dalle") ||
+      modelName.startsWith("o1") ||
+      modelName.startsWith("o3")
+    ) {
+      LlmIcon = BotIconOpenAI;
+    } else if (modelName.startsWith("gemini")) {
+      LlmIcon = BotIconGemini;
+    } else if (modelName.startsWith("gemma")) {
+      LlmIcon = BotIconGemma;
+    } else if (modelName.startsWith("claude")) {
+      LlmIcon = BotIconClaude;
+    } else if (modelName.includes("llama")) {
+      LlmIcon = BotIconMeta;
+    } else if (modelName.startsWith("mixtral") || modelName.startsWith("codestral")) {
+      LlmIcon = BotIconMistral;
+    } else if (modelName.includes("deepseek")) {
+      LlmIcon = BotIconDeepseek;
+    } else if (modelName.startsWith("moonshot")) {
+      LlmIcon = BotIconMoonshot;
+    } else if (modelName.startsWith("qwen")) {
+      LlmIcon = BotIconQwen;
+    } else if (modelName.startsWith("ernie")) {
+      LlmIcon = BotIconWenxin;
+    } else if (modelName.startsWith("grok")) {
+      LlmIcon = BotIconGrok;
+    } else if (modelName.startsWith("hunyuan")) {
+      LlmIcon = BotIconHunyuan;
+    } else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
+      LlmIcon = BotIconDoubao;
+    } else if (
+      modelName.includes("glm") ||
+      modelName.startsWith("cogview-") ||
+      modelName.startsWith("cogvideox-")
+    ) {
+      LlmIcon = BotIconChatglm;
+    }
+
     return (
       <div className="no-dark">
-        {props.model?.startsWith("gpt-4") ||
-        props.model?.startsWith("chatgpt-4o") ? (
-          <BlackBotIcon className="user-avatar" />
-        ) : (
-          <BotIcon className="user-avatar" />
-        )}
+        <LlmIcon className="user-avatar" width={30} height={30} />
       </div>
     );
   }

app/components/exporter.tsx

@@ -23,7 +23,6 @@ import CopyIcon from "../icons/copy.svg";
 import LoadingIcon from "../icons/three-dots.svg";
 import ChatGptIcon from "../icons/chatgpt.png";
 import ShareIcon from "../icons/share.svg";
-import BotIcon from "../icons/bot.png";
 
 import DownloadIcon from "../icons/download.svg";
 import { useEffect, useMemo, useRef, useState } from "react";
@@ -33,13 +32,14 @@ import dynamic from "next/dynamic";
 import NextImage from "next/image";
 
 import { toBlob, toPng } from "html-to-image";
-import { DEFAULT_MASK_AVATAR } from "../store/mask";
 
 import { prettyObject } from "../utils/format";
 import { EXPORT_MESSAGE_CLASS_NAME } from "../constant";
 import { getClientConfig } from "../config/client";
 import { type ClientApi, getClientApi } from "../client/api";
 import { getMessageTextContent } from "../utils";
+import { MaskAvatar } from "./mask";
+import clsx from "clsx";
 
 const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
   loading: () => <LoadingIcon />,
@@ -118,9 +118,10 @@ function Steps<
           return (
             <div
               key={i}
-              className={`${styles["step"]} ${
-                styles[i <= props.index ? "step-finished" : ""]
-              } ${i === props.index && styles["step-current"]} clickable`}
+              className={clsx("clickable", styles["step"], {
+                [styles["step-finished"]]: i <= props.index,
+                [styles["step-current"]]: i === props.index,
+              })}
               onClick={() => {
                 props.onStepChange?.(i);
               }}
@@ -405,22 +406,6 @@ export function PreviewActions(props: {
   );
 }
 
-function ExportAvatar(props: { avatar: string }) {
-  if (props.avatar === DEFAULT_MASK_AVATAR) {
-    return (
-      <img
-        src={BotIcon.src}
-        width={30}
-        height={30}
-        alt="bot"
-        className="user-avatar"
-      />
-    );
-  }
-
-  return <Avatar avatar={props.avatar} />;
-}
-
 export function ImagePreviewer(props: {
   messages: ChatMessage[];
   topic: string;
@@ -525,11 +510,11 @@ export function ImagePreviewer(props: {
         messages={props.messages}
       />
       <div
-        className={`${styles["preview-body"]} ${styles["default-theme"]}`}
+        className={clsx(styles["preview-body"], styles["default-theme"])}
         ref={previewRef}
       >
         <div className={styles["chat-info"]}>
-          <div className={styles["logo"] + " no-dark"}>
+          <div className={clsx(styles["logo"], "no-dark")}>
             <NextImage
               src={ChatGptIcon.src}
               alt="logo"
@@ -544,9 +529,12 @@ export function ImagePreviewer(props: {
               github.com/ChatGPTNextWeb/ChatGPT-Next-Web
             </div>
             <div className={styles["icons"]}>
-              <ExportAvatar avatar={config.avatar} />
+              <MaskAvatar avatar={config.avatar} />
               <span className={styles["icon-space"]}>&</span>
-              <ExportAvatar avatar={mask.avatar} />
+              <MaskAvatar
+                avatar={mask.avatar}
+                model={session.mask.modelConfig.model}
+              />
             </div>
           </div>
           <div>
@@ -570,13 +558,18 @@ export function ImagePreviewer(props: {
         {props.messages.map((m, i) => {
           return (
             <div
-              className={styles["message"] + " " + styles["message-" + m.role]}
+              className={clsx(styles["message"], styles["message-" + m.role])}
               key={i}
             >
               <div className={styles["avatar"]}>
-                <ExportAvatar
-                  avatar={m.role === "user" ? config.avatar : mask.avatar}
-                />
+                {m.role === "user" ? (
+                  <Avatar avatar={config.avatar}></Avatar>
+                ) : (
+                  <MaskAvatar
+                    avatar={session.mask.avatar}
+                    model={m.model || session.mask.modelConfig.model}
+                  />
+                )}
               </div>
 
               <div className={styles["body"]}>

app/components/home.module.scss

@@ -140,6 +140,9 @@
   display: flex;
   justify-content: space-between;
   align-items: center;
+  &-narrow {
+    justify-content: center;
+  }
 }
 
 .sidebar-logo {

app/components/home.tsx

@@ -2,8 +2,7 @@
 
 require("../polyfill");
 
-import { useState, useEffect } from "react";
-
+import { useEffect, useState } from "react";
 import styles from "./home.module.scss";
 
 import BotIcon from "../icons/bot.svg";
@@ -19,8 +18,8 @@ import { getISOLang, getLang } from "../locales";
 
 import {
   HashRouter as Router,
-  Routes,
   Route,
+  Routes,
   useLocation,
 } from "react-router-dom";
 import { SideBar } from "./sidebar";
@@ -29,10 +28,12 @@ import { AuthPage } from "./auth";
 import { getClientConfig } from "../config/client";
 import { type ClientApi, getClientApi } from "../client/api";
 import { useAccessStore } from "../store";
+import clsx from "clsx";
+import { initializeMcpSystem, isMcpEnabled } from "../mcp/actions";
 
 export function Loading(props: { noLogo?: boolean }) {
   return (
-    <div className={styles["loading-content"] + " no-dark"}>
+    <div className={clsx("no-dark", styles["loading-content"])}>
       {!props.noLogo && <BotIcon />}
       <LoadingIcon />
     </div>
@@ -74,6 +75,13 @@ const Sd = dynamic(async () => (await import("./sd")).Sd, {
   loading: () => <Loading noLogo />,
 });
 
+const McpMarketPage = dynamic(
+  async () => (await import("./mcp-market")).McpMarketPage,
+  {
+    loading: () => <Loading noLogo />,
+  },
+);
+
 export function useSwitchTheme() {
   const config = useAppConfig();
 
@@ -179,7 +187,11 @@ function Screen() {
     if (isSdNew) return <Sd />;
     return (
       <>
-        <SideBar className={isHome ? styles["sidebar-show"] : ""} />
+        <SideBar
+          className={clsx({
+            [styles["sidebar-show"]]: isHome,
+          })}
+        />
         <WindowContent>
           <Routes>
             <Route path={Path.Home} element={<Chat />} />
@@ -189,6 +201,7 @@ function Screen() {
             <Route path={Path.SearchChat} element={<SearchChat />} />
             <Route path={Path.Chat} element={<Chat />} />
             <Route path={Path.Settings} element={<Settings />} />
+            <Route path={Path.McpMarket} element={<McpMarketPage />} />
           </Routes>
         </WindowContent>
       </>
@@ -197,9 +210,10 @@ function Screen() {
 
   return (
     <div
-      className={`${styles.container} ${
-        shouldTightBorder ? styles["tight-container"] : styles.container
-      } ${getLang() === "ar" ? styles["rtl-screen"] : ""}`}
+      className={clsx(styles.container, {
+        [styles["tight-container"]]: shouldTightBorder,
+        [styles["rtl-screen"]]: getLang() === "ar",
+      })}
     >
       {renderContent()}
     </div>
@@ -228,6 +242,20 @@ export function Home() {
   useEffect(() => {
     console.log("[Config] got config from build time", getClientConfig());
     useAccessStore.getState().fetch();
+
+    const initMcp = async () => {
+      try {
+        const enabled = await isMcpEnabled();
+        if (enabled) {
+          console.log("[MCP] initializing...");
+          await initializeMcpSystem();
+          console.log("[MCP] initialized");
+        }
+      } catch (err) {
+        console.error("[MCP] failed to initialize:", err);
+      }
+    };
+    initMcp();
   }, []);
 
   if (!useHasHydrated()) {

app/components/input-range.tsx

@@ -1,5 +1,6 @@
 import * as React from "react";
 import styles from "./input-range.module.scss";
+import clsx from "clsx";
 
 interface InputRangeProps {
   onChange: React.ChangeEventHandler<HTMLInputElement>;
@@ -23,7 +24,7 @@ export function InputRange({
   aria,
 }: InputRangeProps) {
   return (
-    <div className={styles["input-range"] + ` ${className ?? ""}`}>
+    <div className={clsx(styles["input-range"], className)}>
       {title || value}
       <input
         aria-label={aria}

app/components/markdown.tsx

@@ -17,10 +17,14 @@ import { showImageModal, FullScreen } from "./ui-lib";
 import {
   ArtifactsShareButton,
   HTMLPreview,
-  HTMLPreviewHander,
+  HTMLPreviewHandler,
 } from "./artifacts";
 import { useChatStore } from "../store";
 import { IconButton } from "./button";
+
+import { useAppConfig } from "../store/config";
+import clsx from "clsx";
+
 export function Mermaid(props: { code: string }) {
   const ref = useRef<HTMLDivElement>(null);
   const [hasError, setHasError] = useState(false);
@@ -54,7 +58,7 @@ export function Mermaid(props: { code: string }) {
 
   return (
     <div
-      className="no-dark mermaid"
+      className={clsx("no-dark", "mermaid")}
       style={{
         cursor: "pointer",
         overflow: "auto",
@@ -69,7 +73,7 @@ export function Mermaid(props: { code: string }) {
 
 export function PreCode(props: { children: any }) {
   const ref = useRef<HTMLPreElement>(null);
-  const previewRef = useRef<HTMLPreviewHander>(null);
+  const previewRef = useRef<HTMLPreviewHandler>(null);
   const [mermaidCode, setMermaidCode] = useState("");
   const [htmlCode, setHtmlCode] = useState("");
   const { height } = useWindowSize();
@@ -86,12 +90,18 @@ export function PreCode(props: { children: any }) {
     const refText = ref.current.querySelector("code")?.innerText;
     if (htmlDom) {
       setHtmlCode((htmlDom as HTMLElement).innerText);
-    } else if (refText?.startsWith("<!DOCTYPE")) {
+    } else if (
+      refText?.startsWith("<!DOCTYPE") ||
+      refText?.startsWith("<svg") ||
+      refText?.startsWith("<?xml")
+    ) {
       setHtmlCode(refText);
     }
   }, 600);
 
-  const enableArtifacts = session.mask?.enableArtifacts !== false;
+  const config = useAppConfig();
+  const enableArtifacts =
+    session.mask?.enableArtifacts !== false && config.enableArtifacts;
 
   //Wrap the paragraph for plain-text
   useEffect(() => {
@@ -127,8 +137,9 @@ export function PreCode(props: { children: any }) {
           className="copy-code-button"
           onClick={() => {
             if (ref.current) {
-              const code = ref.current.innerText;
-              copyToClipboard(code);
+              copyToClipboard(
+                ref.current.querySelector("code")?.innerText ?? "",
+              );
             }
           }}
         ></span>
@@ -163,6 +174,12 @@ export function PreCode(props: { children: any }) {
 }
 
 function CustomCode(props: { children: any; className?: string }) {
+  const chatStore = useChatStore();
+  const session = chatStore.currentSession();
+  const config = useAppConfig();
+  const enableCodeFold =
+    session.mask?.enableCodeFold !== false && config.enableCodeFold;
+
   const ref = useRef<HTMLPreElement>(null);
   const [collapsed, setCollapsed] = useState(true);
   const [showToggle, setShowToggle] = useState(false);
@@ -178,46 +195,39 @@ function CustomCode(props: { children: any; className?: string }) {
   const toggleCollapsed = () => {
     setCollapsed((collapsed) => !collapsed);
   };
+  const renderShowMoreButton = () => {
+    if (showToggle && enableCodeFold && collapsed) {
+      return (
+        <div
+          className={clsx("show-hide-button", {
+            collapsed,
+            expanded: !collapsed,
+          })}
+        >
+          <button onClick={toggleCollapsed}>{Locale.NewChat.More}</button>
+        </div>
+      );
+    }
+    return null;
+  };
   return (
     <>
       <code
-        className={props?.className}
+        className={clsx(props?.className)}
         ref={ref}
         style={{
-          maxHeight: collapsed ? "400px" : "none",
+          maxHeight: enableCodeFold && collapsed ? "400px" : "none",
           overflowY: "hidden",
         }}
       >
         {props.children}
       </code>
-      {showToggle && collapsed && (
-        <div
-          className={`show-hide-button ${collapsed ? "collapsed" : "expanded"}`}
-        >
-          <button onClick={toggleCollapsed}>{Locale.NewChat.More}</button>
-        </div>
-      )}
+
+      {renderShowMoreButton()}
     </>
   );
 }
 
-function escapeDollarNumber(text: string) {
-  let escapedText = "";
-
-  for (let i = 0; i < text.length; i += 1) {
-    let char = text[i];
-    const nextChar = text[i + 1] || " ";
-
-    if (char === "$" && nextChar >= "0" && nextChar <= "9") {
-      char = "\\$";
-    }
-
-    escapedText += char;
-  }
-
-  return escapedText;
-}
-
 function escapeBrackets(text: string) {
   const pattern =
     /(```[\s\S]*?```|`.*?`)|\\\[([\s\S]*?[^\\])\\\]|\\\((.*?)\\\)/g;
@@ -238,6 +248,10 @@ function escapeBrackets(text: string) {
 
 function tryWrapHtmlCode(text: string) {
   // try add wrap html code (fixed: html codeblock include 2 newline)
+  // ignore embed codeblock
+  if (text.includes("```")) {
+    return text;
+  }
   return text
     .replace(
       /([`]*?)(\w*?)([\n\r]*?)(<!DOCTYPE html>)/g,
@@ -246,7 +260,7 @@ function tryWrapHtmlCode(text: string) {
       },
     )
     .replace(
-      /(<\/body>)([\r\n\s]*?)(<\/html>)([\n\r]*?)([`]*?)([\n\r]*?)/g,
+      /(<\/body>)([\r\n\s]*?)(<\/html>)([\n\r]*)([`]*)([\n\r]*?)/g,
       (match, bodyEnd, space, htmlEnd, newLine, quoteEnd) => {
         return !quoteEnd ? bodyEnd + space + htmlEnd + "\n```\n" : match;
       },
@@ -255,7 +269,7 @@ function tryWrapHtmlCode(text: string) {
 
 function _MarkDownContent(props: { content: string }) {
   const escapedContent = useMemo(() => {
-    return tryWrapHtmlCode(escapeBrackets(escapeDollarNumber(props.content)));
+    return tryWrapHtmlCode(escapeBrackets(props.content));
   }, [props.content]);
 
   return (
@@ -277,6 +291,20 @@ function _MarkDownContent(props: { content: string }) {
         p: (pProps) => <p {...pProps} dir="auto" />,
         a: (aProps) => {
           const href = aProps.href || "";
+          if (/\.(aac|mp3|opus|wav)$/.test(href)) {
+            return (
+              <figure>
+                <audio controls src={href}></audio>
+              </figure>
+            );
+          }
+          if (/\.(3gp|3g2|webm|ogv|mpeg|mp4|avi)$/.test(href)) {
+            return (
+              <video controls width="99.9%">
+                <source src={href} />
+              </video>
+            );
+          }
           const isInternal = /^\/#/i.test(href);
           const target = isInternal ? "_self" : aProps.target ?? "_blank";
           return <a {...aProps} target={target} />;

app/components/mask.tsx

@@ -55,6 +55,7 @@ import {
   OnDragEndResponder,
 } from "@hello-pangea/dnd";
 import { getMessageTextContent } from "../utils";
+import clsx from "clsx";
 
 // drag and drop helper function
 function reorder<T>(list: T[], startIndex: number, endIndex: number): T[] {
@@ -166,21 +167,40 @@ export function MaskConfig(props: {
           ></input>
         </ListItem>
 
-        <ListItem
-          title={Locale.Mask.Config.Artifacts.Title}
-          subTitle={Locale.Mask.Config.Artifacts.SubTitle}
-        >
-          <input
-            aria-label={Locale.Mask.Config.Artifacts.Title}
-            type="checkbox"
-            checked={props.mask.enableArtifacts !== false}
-            onChange={(e) => {
-              props.updateMask((mask) => {
-                mask.enableArtifacts = e.currentTarget.checked;
-              });
-            }}
-          ></input>
-        </ListItem>
+        {globalConfig.enableArtifacts && (
+          <ListItem
+            title={Locale.Mask.Config.Artifacts.Title}
+            subTitle={Locale.Mask.Config.Artifacts.SubTitle}
+          >
+            <input
+              aria-label={Locale.Mask.Config.Artifacts.Title}
+              type="checkbox"
+              checked={props.mask.enableArtifacts !== false}
+              onChange={(e) => {
+                props.updateMask((mask) => {
+                  mask.enableArtifacts = e.currentTarget.checked;
+                });
+              }}
+            ></input>
+          </ListItem>
+        )}
+        {globalConfig.enableCodeFold && (
+          <ListItem
+            title={Locale.Mask.Config.CodeFold.Title}
+            subTitle={Locale.Mask.Config.CodeFold.SubTitle}
+          >
+            <input
+              aria-label={Locale.Mask.Config.CodeFold.Title}
+              type="checkbox"
+              checked={props.mask.enableCodeFold !== false}
+              onChange={(e) => {
+                props.updateMask((mask) => {
+                  mask.enableCodeFold = e.currentTarget.checked;
+                });
+              }}
+            ></input>
+          </ListItem>
+        )}
 
         {!props.shouldSyncFromGlobal ? (
           <ListItem
@@ -569,7 +589,7 @@ export function MaskPage() {
                   </div>
                   <div className={styles["mask-title"]}>
                     <div className={styles["mask-name"]}>{m.name}</div>
-                    <div className={styles["mask-info"] + " one-line"}>
+                    <div className={clsx(styles["mask-info"], "one-line")}>
                       {`${Locale.Mask.Item.Info(m.context.length)} / ${
                         ALL_LANG_OPTIONS[m.lang]
                       } / ${m.modelConfig.model}`}

app/components/mcp-market.module.scss

@@ -0,0 +1,657 @@
+@import "../styles/animation.scss";
+
+.mcp-market-page {
+  height: 100%;
+  display: flex;
+  flex-direction: column;
+
+  .loading-indicator {
+    font-size: 12px;
+    color: var(--primary);
+    margin-left: 8px;
+    font-weight: normal;
+    opacity: 0.8;
+  }
+
+  .mcp-market-page-body {
+    padding: 20px;
+    overflow-y: auto;
+
+    .loading-container,
+    .empty-container {
+      display: flex;
+      justify-content: center;
+      align-items: center;
+      min-height: 200px;
+      width: 100%;
+      background-color: var(--white);
+      border: var(--border-in-light);
+      border-radius: 10px;
+      animation: slide-in ease 0.3s;
+    }
+
+    .loading-text,
+    .empty-text {
+      font-size: 14px;
+      color: var(--black);
+      opacity: 0.5;
+      text-align: center;
+    }
+
+    .mcp-market-filter {
+      width: 100%;
+      max-width: 100%;
+      margin-bottom: 20px;
+      animation: slide-in ease 0.3s;
+      height: 40px;
+      display: flex;
+
+      .search-bar {
+        flex-grow: 1;
+        max-width: 100%;
+        min-width: 0;
+      }
+    }
+
+    .server-list {
+      display: flex;
+      flex-direction: column;
+      gap: 1px;
+    }
+
+    .mcp-market-item {
+      padding: 20px;
+      border: var(--border-in-light);
+      animation: slide-in ease 0.3s;
+      background-color: var(--white);
+      transition: all 0.3s ease;
+
+      &.disabled {
+        opacity: 0.7;
+        pointer-events: none;
+      }
+
+      &:not(:last-child) {
+        border-bottom: 0;
+      }
+
+      &:first-child {
+        border-top-left-radius: 10px;
+        border-top-right-radius: 10px;
+      }
+
+      &:last-child {
+        border-bottom-left-radius: 10px;
+        border-bottom-right-radius: 10px;
+      }
+
+      &.loading {
+        position: relative;
+        &::after {
+          content: "";
+          position: absolute;
+          top: 0;
+          left: 0;
+          right: 0;
+          bottom: 0;
+          background: linear-gradient(
+            90deg,
+            transparent,
+            rgba(255, 255, 255, 0.2),
+            transparent
+          );
+          background-size: 200% 100%;
+          animation: loading-pulse 1.5s infinite;
+        }
+      }
+
+      .operation-status {
+        display: inline-flex;
+        align-items: center;
+        margin-left: 10px;
+        padding: 2px 8px;
+        border-radius: 4px;
+        font-size: 12px;
+        background-color: #16a34a;
+        color: #fff;
+        animation: pulse 1.5s infinite;
+
+        &[data-status="stopping"] {
+          background-color: #9ca3af;
+        }
+
+        &[data-status="starting"] {
+          background-color: #4ade80;
+        }
+
+        &[data-status="error"] {
+          background-color: #f87171;
+        }
+      }
+
+      .mcp-market-header {
+        display: flex;
+        justify-content: space-between;
+        align-items: flex-start;
+        width: 100%;
+
+        .mcp-market-title {
+          flex-grow: 1;
+          margin-right: 20px;
+          max-width: calc(100% - 300px);
+        }
+
+        .mcp-market-name {
+          font-size: 14px;
+          font-weight: bold;
+          display: flex;
+          align-items: center;
+          gap: 8px;
+          margin-bottom: 8px;
+
+          .server-status {
+            display: inline-flex;
+            align-items: center;
+            margin-left: 10px;
+            padding: 2px 8px;
+            border-radius: 4px;
+            font-size: 12px;
+            background-color: #22c55e;
+            color: #fff;
+
+            &.error {
+              background-color: #ef4444;
+            }
+
+            &.stopped {
+              background-color: #6b7280;
+            }
+
+            &.initializing {
+              background-color: #f59e0b;
+              animation: pulse 1.5s infinite;
+            }
+
+            .error-message {
+              margin-left: 4px;
+              font-size: 12px;
+            }
+          }
+        }
+
+        .repo-link {
+          color: var(--primary);
+          font-size: 12px;
+          display: inline-flex;
+          align-items: center;
+          gap: 4px;
+          text-decoration: none;
+          opacity: 0.8;
+          transition: opacity 0.2s;
+
+          &:hover {
+            opacity: 1;
+          }
+
+          svg {
+            width: 14px;
+            height: 14px;
+          }
+        }
+
+        .tags-container {
+          display: flex;
+          gap: 4px;
+          flex-wrap: wrap;
+          margin-bottom: 8px;
+        }
+
+        .tag {
+          background: var(--gray);
+          color: var(--black);
+          padding: 2px 6px;
+          border-radius: 4px;
+          font-size: 10px;
+          opacity: 0.8;
+        }
+
+        .mcp-market-info {
+          color: var(--black);
+          font-size: 12px;
+          overflow: hidden;
+          text-overflow: ellipsis;
+          white-space: nowrap;
+        }
+
+        .mcp-market-actions {
+          display: flex;
+          gap: 12px;
+          align-items: flex-start;
+          flex-shrink: 0;
+          min-width: 180px;
+          justify-content: flex-end;
+        }
+      }
+    }
+  }
+
+  .array-input {
+    display: flex;
+    flex-direction: column;
+    gap: 12px;
+    width: 100%;
+    padding: 16px;
+    border: 1px solid var(--gray-200);
+    border-radius: 10px;
+    background-color: var(--white);
+
+    .array-input-item {
+      display: flex;
+      gap: 8px;
+      align-items: center;
+      width: 100%;
+      padding: 0;
+
+      input {
+        width: 100%;
+        padding: 8px 12px;
+        background-color: var(--gray-50);
+        border-radius: 6px;
+        transition: all 0.3s ease;
+        font-size: 13px;
+        border: 1px solid var(--gray-200);
+
+        &:hover {
+          background-color: var(--gray-100);
+          border-color: var(--gray-300);
+        }
+
+        &:focus {
+          background-color: var(--white);
+          border-color: var(--primary);
+          outline: none;
+          box-shadow: 0 0 0 2px var(--primary-10);
+        }
+
+        &::placeholder {
+          color: var(--gray-300);
+        }
+      }
+    }
+
+    :global(.icon-button.add-path-button) {
+      width: 100%;
+      background-color: var(--primary);
+      color: white;
+      padding: 8px 12px;
+      border-radius: 6px;
+      transition: all 0.3s ease;
+      margin-top: 8px;
+      display: flex;
+      align-items: center;
+      justify-content: center;
+      border: none;
+      height: 36px;
+
+      &:hover {
+        background-color: var(--primary-dark);
+      }
+
+      svg {
+        width: 16px;
+        height: 16px;
+        margin-right: 4px;
+        filter: brightness(2);
+      }
+    }
+  }
+
+  .path-list {
+    width: 100%;
+    display: flex;
+    flex-direction: column;
+    gap: 10px;
+
+    .path-item {
+      display: flex;
+      gap: 10px;
+      width: 100%;
+
+      input {
+        flex: 1;
+        width: 100%;
+        max-width: 100%;
+        padding: 10px;
+        border: var(--border-in-light);
+        border-radius: 10px;
+        box-sizing: border-box;
+        font-size: 14px;
+        background-color: var(--white);
+        color: var(--black);
+
+        &:hover {
+          border-color: var(--gray-300);
+        }
+
+        &:focus {
+          border-color: var(--primary);
+          outline: none;
+          box-shadow: 0 0 0 2px var(--primary-10);
+        }
+      }
+
+      .browse-button {
+        padding: 8px;
+        border: var(--border-in-light);
+        border-radius: 10px;
+        background-color: transparent;
+        color: var(--black-50);
+
+        &:hover {
+          border-color: var(--primary);
+          color: var(--primary);
+          background-color: transparent;
+        }
+
+        svg {
+          width: 16px;
+          height: 16px;
+        }
+      }
+
+      .delete-button {
+        padding: 8px;
+        border: var(--border-in-light);
+        border-radius: 10px;
+        background-color: transparent;
+        color: var(--black-50);
+
+        &:hover {
+          border-color: var(--danger);
+          color: var(--danger);
+          background-color: transparent;
+        }
+
+        svg {
+          width: 16px;
+          height: 16px;
+        }
+      }
+
+      .file-input {
+        display: none;
+      }
+    }
+
+    .add-button {
+      align-self: flex-start;
+      display: flex;
+      align-items: center;
+      gap: 5px;
+      padding: 8px 12px;
+      background-color: transparent;
+      border: var(--border-in-light);
+      border-radius: 10px;
+      color: var(--black);
+      font-size: 12px;
+      margin-top: 5px;
+
+      &:hover {
+        border-color: var(--primary);
+        color: var(--primary);
+        background-color: transparent;
+      }
+
+      svg {
+        width: 16px;
+        height: 16px;
+      }
+    }
+  }
+
+  .config-section {
+    width: 100%;
+
+    .config-header {
+      margin-bottom: 12px;
+
+      .config-title {
+        font-size: 14px;
+        font-weight: 600;
+        color: var(--black);
+        text-transform: capitalize;
+      }
+
+      .config-description {
+        font-size: 12px;
+        color: var(--gray-500);
+        margin-top: 4px;
+      }
+    }
+
+    .array-input {
+      display: flex;
+      flex-direction: column;
+      gap: 12px;
+      width: 100%;
+      padding: 16px;
+      border: 1px solid var(--gray-200);
+      border-radius: 10px;
+      background-color: var(--white);
+
+      .array-input-item {
+        display: flex;
+        gap: 8px;
+        align-items: center;
+        width: 100%;
+        padding: 0;
+
+        input {
+          width: 100%;
+          padding: 8px 12px;
+          background-color: var(--gray-50);
+          border-radius: 6px;
+          transition: all 0.3s ease;
+          font-size: 13px;
+          border: 1px solid var(--gray-200);
+
+          &:hover {
+            background-color: var(--gray-100);
+            border-color: var(--gray-300);
+          }
+
+          &:focus {
+            background-color: var(--white);
+            border-color: var(--primary);
+            outline: none;
+            box-shadow: 0 0 0 2px var(--primary-10);
+          }
+
+          &::placeholder {
+            color: var(--gray-300);
+          }
+        }
+
+        :global(.icon-button) {
+          width: 32px;
+          height: 32px;
+          padding: 0;
+          border-radius: 6px;
+          background-color: transparent;
+          border: 1px solid var(--gray-200);
+          flex-shrink: 0;
+          display: flex;
+          align-items: center;
+          justify-content: center;
+
+          &:hover {
+            background-color: var(--gray-100);
+            border-color: var(--gray-300);
+          }
+
+          svg {
+            width: 16px;
+            height: 16px;
+            opacity: 0.7;
+          }
+        }
+      }
+
+      :global(.icon-button.add-path-button) {
+        width: 100%;
+        background-color: var(--primary);
+        color: white;
+        padding: 8px 12px;
+        border-radius: 6px;
+        transition: all 0.3s ease;
+        margin-top: 8px;
+        display: flex;
+        align-items: center;
+        justify-content: center;
+        border: none;
+        height: 36px;
+
+        &:hover {
+          background-color: var(--primary-dark);
+        }
+
+        svg {
+          width: 16px;
+          height: 16px;
+          margin-right: 4px;
+          filter: brightness(2);
+        }
+      }
+    }
+  }
+
+  .input-item {
+    width: 100%;
+
+    input {
+      width: 100%;
+      padding: 10px;
+      border: var(--border-in-light);
+      border-radius: 10px;
+      box-sizing: border-box;
+      font-size: 14px;
+      background-color: var(--white);
+      color: var(--black);
+
+      &:hover {
+        border-color: var(--gray-300);
+      }
+
+      &:focus {
+        border-color: var(--primary);
+        outline: none;
+        box-shadow: 0 0 0 2px var(--primary-10);
+      }
+
+      &::placeholder {
+        color: var(--gray-300) !important;
+        opacity: 1;
+      }
+    }
+  }
+
+  .tools-list {
+    display: flex;
+    flex-direction: column;
+    gap: 16px;
+    width: 100%;
+    padding: 20px;
+    max-width: 100%;
+    overflow-x: hidden;
+    word-break: break-word;
+    box-sizing: border-box;
+
+    .tool-item {
+      width: 100%;
+      box-sizing: border-box;
+
+      .tool-name {
+        font-size: 14px;
+        font-weight: 600;
+        color: var(--black);
+        margin-bottom: 8px;
+        padding-left: 12px;
+        border-left: 3px solid var(--primary);
+        box-sizing: border-box;
+        width: 100%;
+      }
+
+      .tool-description {
+        font-size: 13px;
+        color: var(--gray-500);
+        line-height: 1.6;
+        padding-left: 15px;
+        box-sizing: border-box;
+        width: 100%;
+      }
+    }
+  }
+
+  :global {
+    .modal-content {
+      margin-top: 20px;
+      max-width: 100%;
+      overflow-x: hidden;
+    }
+
+    .list {
+      padding: 10px;
+      margin-bottom: 10px;
+      background-color: var(--white);
+    }
+
+    .list-item {
+      border: none;
+      background-color: transparent;
+      border-radius: 10px;
+      padding: 10px;
+      margin-bottom: 10px;
+      display: flex;
+      flex-direction: column;
+      gap: 10px;
+
+      .list-header {
+        margin-bottom: 0;
+
+        .list-title {
+          font-size: 14px;
+          font-weight: bold;
+          text-transform: capitalize;
+          color: var(--black);
+        }
+
+        .list-sub-title {
+          font-size: 12px;
+          color: var(--gray-500);
+          margin-top: 4px;
+        }
+      }
+    }
+  }
+}
+
+@keyframes loading-pulse {
+  0% {
+    background-position: 200% 0;
+  }
+  100% {
+    background-position: -200% 0;
+  }
+}
+
+@keyframes pulse {
+  0% {
+    opacity: 0.6;
+  }
+  50% {
+    opacity: 1;
+  }
+  100% {
+    opacity: 0.6;
+  }
+}

app/components/mcp-market.tsx

@@ -0,0 +1,755 @@
+import { IconButton } from "./button";
+import { ErrorBoundary } from "./error";
+import styles from "./mcp-market.module.scss";
+import EditIcon from "../icons/edit.svg";
+import AddIcon from "../icons/add.svg";
+import CloseIcon from "../icons/close.svg";
+import DeleteIcon from "../icons/delete.svg";
+import RestartIcon from "../icons/reload.svg";
+import EyeIcon from "../icons/eye.svg";
+import GithubIcon from "../icons/github.svg";
+import { List, ListItem, Modal, showToast } from "./ui-lib";
+import { useNavigate } from "react-router-dom";
+import { useEffect, useState } from "react";
+import {
+  addMcpServer,
+  getClientsStatus,
+  getClientTools,
+  getMcpConfigFromFile,
+  isMcpEnabled,
+  pauseMcpServer,
+  restartAllClients,
+  resumeMcpServer,
+} from "../mcp/actions";
+import {
+  ListToolsResponse,
+  McpConfigData,
+  PresetServer,
+  ServerConfig,
+  ServerStatusResponse,
+} from "../mcp/types";
+import clsx from "clsx";
+import PlayIcon from "../icons/play.svg";
+import StopIcon from "../icons/pause.svg";
+import { Path } from "../constant";
+
+interface ConfigProperty {
+  type: string;
+  description?: string;
+  required?: boolean;
+  minItems?: number;
+}
+
+export function McpMarketPage() {
+  const navigate = useNavigate();
+  const [mcpEnabled, setMcpEnabled] = useState(false);
+  const [searchText, setSearchText] = useState("");
+  const [userConfig, setUserConfig] = useState<Record<string, any>>({});
+  const [editingServerId, setEditingServerId] = useState<string | undefined>();
+  const [tools, setTools] = useState<ListToolsResponse["tools"] | null>(null);
+  const [viewingServerId, setViewingServerId] = useState<string | undefined>();
+  const [isLoading, setIsLoading] = useState(false);
+  const [config, setConfig] = useState<McpConfigData>();
+  const [clientStatuses, setClientStatuses] = useState<
+    Record<string, ServerStatusResponse>
+  >({});
+  const [loadingPresets, setLoadingPresets] = useState(true);
+  const [presetServers, setPresetServers] = useState<PresetServer[]>([]);
+  const [loadingStates, setLoadingStates] = useState<Record<string, string>>(
+    {},
+  );
+
+  // 检查 MCP 是否启用
+  useEffect(() => {
+    const checkMcpStatus = async () => {
+      const enabled = await isMcpEnabled();
+      setMcpEnabled(enabled);
+      if (!enabled) {
+        navigate(Path.Home);
+      }
+    };
+    checkMcpStatus();
+  }, [navigate]);
+
+  // 添加状态轮询
+  useEffect(() => {
+    if (!mcpEnabled || !config) return;
+
+    const updateStatuses = async () => {
+      const statuses = await getClientsStatus();
+      setClientStatuses(statuses);
+    };
+
+    // 立即执行一次
+    updateStatuses();
+    // 每 1000ms 轮询一次
+    const timer = setInterval(updateStatuses, 1000);
+
+    return () => clearInterval(timer);
+  }, [mcpEnabled, config]);
+
+  // 加载预设服务器
+  useEffect(() => {
+    const loadPresetServers = async () => {
+      if (!mcpEnabled) return;
+      try {
+        setLoadingPresets(true);
+        const response = await fetch("https://nextchat.club/mcp/list");
+        if (!response.ok) {
+          throw new Error("Failed to load preset servers");
+        }
+        const data = await response.json();
+        setPresetServers(data?.data ?? []);
+      } catch (error) {
+        console.error("Failed to load preset servers:", error);
+        showToast("Failed to load preset servers");
+      } finally {
+        setLoadingPresets(false);
+      }
+    };
+    loadPresetServers();
+  }, [mcpEnabled]);
+
+  // 加载初始状态
+  useEffect(() => {
+    const loadInitialState = async () => {
+      if (!mcpEnabled) return;
+      try {
+        setIsLoading(true);
+        const config = await getMcpConfigFromFile();
+        setConfig(config);
+
+        // 获取所有客户端的状态
+        const statuses = await getClientsStatus();
+        setClientStatuses(statuses);
+      } catch (error) {
+        console.error("Failed to load initial state:", error);
+        showToast("Failed to load initial state");
+      } finally {
+        setIsLoading(false);
+      }
+    };
+    loadInitialState();
+  }, [mcpEnabled]);
+
+  // 加载当前编辑服务器的配置
+  useEffect(() => {
+    if (!editingServerId || !config) return;
+    const currentConfig = config.mcpServers[editingServerId];
+    if (currentConfig) {
+      // 从当前配置中提取用户配置
+      const preset = presetServers.find((s) => s.id === editingServerId);
+      if (preset?.configSchema) {
+        const userConfig: Record<string, any> = {};
+        Object.entries(preset.argsMapping || {}).forEach(([key, mapping]) => {
+          if (mapping.type === "spread") {
+            // For spread types, extract the array from args.
+            const startPos = mapping.position ?? 0;
+            userConfig[key] = currentConfig.args.slice(startPos);
+          } else if (mapping.type === "single") {
+            // For single types, get a single value
+            userConfig[key] = currentConfig.args[mapping.position ?? 0];
+          } else if (
+            mapping.type === "env" &&
+            mapping.key &&
+            currentConfig.env
+          ) {
+            // For env types, get values from environment variables
+            userConfig[key] = currentConfig.env[mapping.key];
+          }
+        });
+        setUserConfig(userConfig);
+      }
+    } else {
+      setUserConfig({});
+    }
+  }, [editingServerId, config, presetServers]);
+
+  if (!mcpEnabled) {
+    return null;
+  }
+
+  // 检查服务器是否已添加
+  const isServerAdded = (id: string) => {
+    return id in (config?.mcpServers ?? {});
+  };
+
+  // 保存服务器配置
+  const saveServerConfig = async () => {
+    const preset = presetServers.find((s) => s.id === editingServerId);
+    if (!preset || !preset.configSchema || !editingServerId) return;
+
+    const savingServerId = editingServerId;
+    setEditingServerId(undefined);
+
+    try {
+      updateLoadingState(savingServerId, "Updating configuration...");
+      // 构建服务器配置
+      const args = [...preset.baseArgs];
+      const env: Record<string, string> = {};
+
+      Object.entries(preset.argsMapping || {}).forEach(([key, mapping]) => {
+        const value = userConfig[key];
+        if (mapping.type === "spread" && Array.isArray(value)) {
+          const pos = mapping.position ?? 0;
+          args.splice(pos, 0, ...value);
+        } else if (
+          mapping.type === "single" &&
+          mapping.position !== undefined
+        ) {
+          args[mapping.position] = value;
+        } else if (
+          mapping.type === "env" &&
+          mapping.key &&
+          typeof value === "string"
+        ) {
+          env[mapping.key] = value;
+        }
+      });
+
+      const serverConfig: ServerConfig = {
+        command: preset.command,
+        args,
+        ...(Object.keys(env).length > 0 ? { env } : {}),
+      };
+
+      const newConfig = await addMcpServer(savingServerId, serverConfig);
+      setConfig(newConfig);
+      showToast("Server configuration updated successfully");
+    } catch (error) {
+      showToast(
+        error instanceof Error ? error.message : "Failed to save configuration",
+      );
+    } finally {
+      updateLoadingState(savingServerId, null);
+    }
+  };
+
+  // 获取服务器支持的 Tools
+  const loadTools = async (id: string) => {
+    try {
+      const result = await getClientTools(id);
+      if (result) {
+        setTools(result);
+      } else {
+        throw new Error("Failed to load tools");
+      }
+    } catch (error) {
+      showToast("Failed to load tools");
+      console.error(error);
+      setTools(null);
+    }
+  };
+
+  // 更新加载状态的辅助函数
+  const updateLoadingState = (id: string, message: string | null) => {
+    setLoadingStates((prev) => {
+      if (message === null) {
+        const { [id]: _, ...rest } = prev;
+        return rest;
+      }
+      return { ...prev, [id]: message };
+    });
+  };
+
+  // 修改添加服务器函数
+  const addServer = async (preset: PresetServer) => {
+    if (!preset.configurable) {
+      try {
+        const serverId = preset.id;
+        updateLoadingState(serverId, "Creating MCP client...");
+
+        const serverConfig: ServerConfig = {
+          command: preset.command,
+          args: [...preset.baseArgs],
+        };
+        const newConfig = await addMcpServer(preset.id, serverConfig);
+        setConfig(newConfig);
+
+        // 更新状态
+        const statuses = await getClientsStatus();
+        setClientStatuses(statuses);
+      } finally {
+        updateLoadingState(preset.id, null);
+      }
+    } else {
+      // 如果需要配置，打开配置对话框
+      setEditingServerId(preset.id);
+      setUserConfig({});
+    }
+  };
+
+  // 修改暂停服务器函数
+  const pauseServer = async (id: string) => {
+    try {
+      updateLoadingState(id, "Stopping server...");
+      const newConfig = await pauseMcpServer(id);
+      setConfig(newConfig);
+      showToast("Server stopped successfully");
+    } catch (error) {
+      showToast("Failed to stop server");
+      console.error(error);
+    } finally {
+      updateLoadingState(id, null);
+    }
+  };
+
+  // Restart server
+  const restartServer = async (id: string) => {
+    try {
+      updateLoadingState(id, "Starting server...");
+      await resumeMcpServer(id);
+    } catch (error) {
+      showToast(
+        error instanceof Error
+          ? error.message
+          : "Failed to start server, please check logs",
+      );
+      console.error(error);
+    } finally {
+      updateLoadingState(id, null);
+    }
+  };
+
+  // Restart all clients
+  const handleRestartAll = async () => {
+    try {
+      updateLoadingState("all", "Restarting all servers...");
+      const newConfig = await restartAllClients();
+      setConfig(newConfig);
+      showToast("Restarting all clients");
+    } catch (error) {
+      showToast("Failed to restart clients");
+      console.error(error);
+    } finally {
+      updateLoadingState("all", null);
+    }
+  };
+
+  // Render configuration form
+  const renderConfigForm = () => {
+    const preset = presetServers.find((s) => s.id === editingServerId);
+    if (!preset?.configSchema) return null;
+
+    return Object.entries(preset.configSchema.properties).map(
+      ([key, prop]: [string, ConfigProperty]) => {
+        if (prop.type === "array") {
+          const currentValue = userConfig[key as keyof typeof userConfig] || [];
+          const itemLabel = (prop as any).itemLabel || key;
+          const addButtonText =
+            (prop as any).addButtonText || `Add ${itemLabel}`;
+
+          return (
+            <ListItem
+              key={key}
+              title={key}
+              subTitle={prop.description}
+              vertical
+            >
+              <div className={styles["path-list"]}>
+                {(currentValue as string[]).map(
+                  (value: string, index: number) => (
+                    <div key={index} className={styles["path-item"]}>
+                      <input
+                        type="text"
+                        value={value}
+                        placeholder={`${itemLabel} ${index + 1}`}
+                        onChange={(e) => {
+                          const newValue = [...currentValue] as string[];
+                          newValue[index] = e.target.value;
+                          setUserConfig({ ...userConfig, [key]: newValue });
+                        }}
+                      />
+                      <IconButton
+                        icon={<DeleteIcon />}
+                        className={styles["delete-button"]}
+                        onClick={() => {
+                          const newValue = [...currentValue] as string[];
+                          newValue.splice(index, 1);
+                          setUserConfig({ ...userConfig, [key]: newValue });
+                        }}
+                      />
+                    </div>
+                  ),
+                )}
+                <IconButton
+                  icon={<AddIcon />}
+                  text={addButtonText}
+                  className={styles["add-button"]}
+                  bordered
+                  onClick={() => {
+                    const newValue = [...currentValue, ""] as string[];
+                    setUserConfig({ ...userConfig, [key]: newValue });
+                  }}
+                />
+              </div>
+            </ListItem>
+          );
+        } else if (prop.type === "string") {
+          const currentValue = userConfig[key as keyof typeof userConfig] || "";
+          return (
+            <ListItem key={key} title={key} subTitle={prop.description}>
+              <input
+                aria-label={key}
+                type="text"
+                value={currentValue}
+                placeholder={`Enter ${key}`}
+                onChange={(e) => {
+                  setUserConfig({ ...userConfig, [key]: e.target.value });
+                }}
+              />
+            </ListItem>
+          );
+        }
+        return null;
+      },
+    );
+  };
+
+  const checkServerStatus = (clientId: string) => {
+    return clientStatuses[clientId] || { status: "undefined", errorMsg: null };
+  };
+
+  const getServerStatusDisplay = (clientId: string) => {
+    const status = checkServerStatus(clientId);
+
+    const statusMap = {
+      undefined: null, // 未配置/未找到不显示
+      // 添加初始化状态
+      initializing: (
+        <span className={clsx(styles["server-status"], styles["initializing"])}>
+          Initializing
+        </span>
+      ),
+      paused: (
+        <span className={clsx(styles["server-status"], styles["stopped"])}>
+          Stopped
+        </span>
+      ),
+      active: <span className={styles["server-status"]}>Running</span>,
+      error: (
+        <span className={clsx(styles["server-status"], styles["error"])}>
+          Error
+          <span className={styles["error-message"]}>: {status.errorMsg}</span>
+        </span>
+      ),
+    };
+
+    return statusMap[status.status];
+  };
+
+  // Get the type of operation status
+  const getOperationStatusType = (message: string) => {
+    if (message.toLowerCase().includes("stopping")) return "stopping";
+    if (message.toLowerCase().includes("starting")) return "starting";
+    if (message.toLowerCase().includes("error")) return "error";
+    return "default";
+  };
+
+  // 渲染服务器列表
+  const renderServerList = () => {
+    if (loadingPresets) {
+      return (
+        <div className={styles["loading-container"]}>
+          <div className={styles["loading-text"]}>
+            Loading preset server list...
+          </div>
+        </div>
+      );
+    }
+
+    if (!Array.isArray(presetServers) || presetServers.length === 0) {
+      return (
+        <div className={styles["empty-container"]}>
+          <div className={styles["empty-text"]}>No servers available</div>
+        </div>
+      );
+    }
+
+    return presetServers
+      .filter((server) => {
+        if (searchText.length === 0) return true;
+        const searchLower = searchText.toLowerCase();
+        return (
+          server.name.toLowerCase().includes(searchLower) ||
+          server.description.toLowerCase().includes(searchLower) ||
+          server.tags.some((tag) => tag.toLowerCase().includes(searchLower))
+        );
+      })
+      .sort((a, b) => {
+        const aStatus = checkServerStatus(a.id).status;
+        const bStatus = checkServerStatus(b.id).status;
+        const aLoading = loadingStates[a.id];
+        const bLoading = loadingStates[b.id];
+
+        // 定义状态优先级
+        const statusPriority: Record<string, number> = {
+          error: 0, // Highest priority for error status
+          active: 1, // Second for active
+          initializing: 2, // Initializing
+          starting: 3, // Starting
+          stopping: 4, // Stopping
+          paused: 5, // Paused
+          undefined: 6, // Lowest priority for undefined
+        };
+
+        // Get actual status (including loading status)
+        const getEffectiveStatus = (status: string, loading?: string) => {
+          if (loading) {
+            const operationType = getOperationStatusType(loading);
+            return operationType === "default" ? status : operationType;
+          }
+
+          if (status === "initializing" && !loading) {
+            return "active";
+          }
+
+          return status;
+        };
+
+        const aEffectiveStatus = getEffectiveStatus(aStatus, aLoading);
+        const bEffectiveStatus = getEffectiveStatus(bStatus, bLoading);
+
+        // 首先按状态排序
+        if (aEffectiveStatus !== bEffectiveStatus) {
+          return (
+            (statusPriority[aEffectiveStatus] ?? 6) -
+            (statusPriority[bEffectiveStatus] ?? 6)
+          );
+        }
+
+        // Sort by name when statuses are the same
+        return a.name.localeCompare(b.name);
+      })
+      .map((server) => (
+        <div
+          className={clsx(styles["mcp-market-item"], {
+            [styles["loading"]]: loadingStates[server.id],
+          })}
+          key={server.id}
+        >
+          <div className={styles["mcp-market-header"]}>
+            <div className={styles["mcp-market-title"]}>
+              <div className={styles["mcp-market-name"]}>
+                {server.name}
+                {loadingStates[server.id] && (
+                  <span
+                    className={styles["operation-status"]}
+                    data-status={getOperationStatusType(
+                      loadingStates[server.id],
+                    )}
+                  >
+                    {loadingStates[server.id]}
+                  </span>
+                )}
+                {!loadingStates[server.id] && getServerStatusDisplay(server.id)}
+                {server.repo && (
+                  <a
+                    href={server.repo}
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className={styles["repo-link"]}
+                    title="Open repository"
+                  >
+                    <GithubIcon />
+                  </a>
+                )}
+              </div>
+              <div className={styles["tags-container"]}>
+                {server.tags.map((tag, index) => (
+                  <span key={index} className={styles["tag"]}>
+                    {tag}
+                  </span>
+                ))}
+              </div>
+              <div
+                className={clsx(styles["mcp-market-info"], "one-line")}
+                title={server.description}
+              >
+                {server.description}
+              </div>
+            </div>
+            <div className={styles["mcp-market-actions"]}>
+              {isServerAdded(server.id) ? (
+                <>
+                  {server.configurable && (
+                    <IconButton
+                      icon={<EditIcon />}
+                      text="Configure"
+                      onClick={() => setEditingServerId(server.id)}
+                      disabled={isLoading}
+                    />
+                  )}
+                  {checkServerStatus(server.id).status === "paused" ? (
+                    <>
+                      <IconButton
+                        icon={<PlayIcon />}
+                        text="Start"
+                        onClick={() => restartServer(server.id)}
+                        disabled={isLoading}
+                      />
+                      {/* <IconButton
+                        icon={<DeleteIcon />}
+                        text="Remove"
+                        onClick={() => removeServer(server.id)}
+                        disabled={isLoading}
+                      /> */}
+                    </>
+                  ) : (
+                    <>
+                      <IconButton
+                        icon={<EyeIcon />}
+                        text="Tools"
+                        onClick={async () => {
+                          setViewingServerId(server.id);
+                          await loadTools(server.id);
+                        }}
+                        disabled={
+                          isLoading ||
+                          checkServerStatus(server.id).status === "error"
+                        }
+                      />
+                      <IconButton
+                        icon={<StopIcon />}
+                        text="Stop"
+                        onClick={() => pauseServer(server.id)}
+                        disabled={isLoading}
+                      />
+                    </>
+                  )}
+                </>
+              ) : (
+                <IconButton
+                  icon={<AddIcon />}
+                  text="Add"
+                  onClick={() => addServer(server)}
+                  disabled={isLoading}
+                />
+              )}
+            </div>
+          </div>
+        </div>
+      ));
+  };
+
+  return (
+    <ErrorBoundary>
+      <div className={styles["mcp-market-page"]}>
+        <div className="window-header">
+          <div className="window-header-title">
+            <div className="window-header-main-title">
+              MCP Market
+              {loadingStates["all"] && (
+                <span className={styles["loading-indicator"]}>
+                  {loadingStates["all"]}
+                </span>
+              )}
+            </div>
+            <div className="window-header-sub-title">
+              {Object.keys(config?.mcpServers ?? {}).length} servers configured
+            </div>
+          </div>
+
+          <div className="window-actions">
+            <div className="window-action-button">
+              <IconButton
+                icon={<RestartIcon />}
+                bordered
+                onClick={handleRestartAll}
+                text="Restart All"
+                disabled={isLoading}
+              />
+            </div>
+            <div className="window-action-button">
+              <IconButton
+                icon={<CloseIcon />}
+                bordered
+                onClick={() => navigate(-1)}
+                disabled={isLoading}
+              />
+            </div>
+          </div>
+        </div>
+
+        <div className={styles["mcp-market-page-body"]}>
+          <div className={styles["mcp-market-filter"]}>
+            <input
+              type="text"
+              className={styles["search-bar"]}
+              placeholder={"Search MCP Server"}
+              autoFocus
+              onInput={(e) => setSearchText(e.currentTarget.value)}
+            />
+          </div>
+
+          <div className={styles["server-list"]}>{renderServerList()}</div>
+        </div>
+
+        {/*编辑服务器配置*/}
+        {editingServerId && (
+          <div className="modal-mask">
+            <Modal
+              title={`Configure Server - ${editingServerId}`}
+              onClose={() => !isLoading && setEditingServerId(undefined)}
+              actions={[
+                <IconButton
+                  key="cancel"
+                  text="Cancel"
+                  onClick={() => setEditingServerId(undefined)}
+                  bordered
+                  disabled={isLoading}
+                />,
+                <IconButton
+                  key="confirm"
+                  text="Save"
+                  type="primary"
+                  onClick={saveServerConfig}
+                  bordered
+                  disabled={isLoading}
+                />,
+              ]}
+            >
+              <List>{renderConfigForm()}</List>
+            </Modal>
+          </div>
+        )}
+
+        {viewingServerId && (
+          <div className="modal-mask">
+            <Modal
+              title={`Server Details - ${viewingServerId}`}
+              onClose={() => setViewingServerId(undefined)}
+              actions={[
+                <IconButton
+                  key="close"
+                  text="Close"
+                  onClick={() => setViewingServerId(undefined)}
+                  bordered
+                />,
+              ]}
+            >
+              <div className={styles["tools-list"]}>
+                {isLoading ? (
+                  <div>Loading...</div>
+                ) : tools?.tools ? (
+                  tools.tools.map(
+                    (tool: ListToolsResponse["tools"], index: number) => (
+                      <div key={index} className={styles["tool-item"]}>
+                        <div className={styles["tool-name"]}>{tool.name}</div>
+                        <div className={styles["tool-description"]}>
+                          {tool.description}
+                        </div>
+                      </div>
+                    ),
+                  )
+                ) : (
+                  <div>No tools available</div>
+                )}
+              </div>
+            </Modal>
+          </div>
+        )}
+      </div>
+    </ErrorBoundary>
+  );
+}

app/components/message-selector.tsx

@@ -8,6 +8,7 @@ import Locale from "../locales";
 
 import styles from "./message-selector.module.scss";
 import { getMessageTextContent } from "../utils";
+import clsx from "clsx";
 
 function useShiftRange() {
   const [startIndex, setStartIndex] = useState<number>();
@@ -71,6 +72,7 @@ export function MessageSelector(props: {
   defaultSelectAll?: boolean;
   onSelected?: (messages: ChatMessage[]) => void;
 }) {
+  const LATEST_COUNT = 4;
   const chatStore = useChatStore();
   const session = chatStore.currentSession();
   const isValid = (m: ChatMessage) => m.content && !m.isError && !m.streaming;
@@ -141,15 +143,13 @@ export function MessageSelector(props: {
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [startIndex, endIndex]);
 
-  const LATEST_COUNT = 4;
-
   return (
     <div className={styles["message-selector"]}>
       <div className={styles["message-filter"]}>
         <input
           type="text"
           placeholder={Locale.Select.Search}
-          className={styles["filter-item"] + " " + styles["search-bar"]}
+          className={clsx(styles["filter-item"], styles["search-bar"])}
           value={searchInput}
           onInput={(e) => {
             setSearchInput(e.currentTarget.value);
@@ -196,9 +196,9 @@ export function MessageSelector(props: {
 
           return (
             <div
-              className={`${styles["message"]} ${
-                props.selection.has(m.id!) && styles["message-selected"]
-              }`}
+              className={clsx(styles["message"], {
+                [styles["message-selected"]]: props.selection.has(m.id!),
+              })}
               key={i}
               onClick={() => {
                 props.updateSelection((selection) => {
@@ -221,7 +221,7 @@ export function MessageSelector(props: {
                 <div className={styles["date"]}>
                   {new Date(m.date).toLocaleString()}
                 </div>
-                <div className={`${styles["content"]} one-line`}>
+                <div className={clsx(styles["content"], "one-line")}>
                   {getMessageTextContent(m)}
                 </div>
               </div>

app/components/model-config.tsx

@@ -7,6 +7,7 @@ import { ListItem, Select } from "./ui-lib";
 import { useAllModels } from "../utils/hooks";
 import { groupBy } from "lodash-es";
 import styles from "./model-config.module.scss";
+import { getModelProvider } from "../utils/model";
 
 export function ModelConfigList(props: {
   modelConfig: ModelConfig;
@@ -28,7 +29,9 @@ export function ModelConfigList(props: {
           value={value}
           align="left"
           onChange={(e) => {
-            const [model, providerName] = e.currentTarget.value.split("@");
+            const [model, providerName] = getModelProvider(
+              e.currentTarget.value,
+            );
             props.updateConfig((config) => {
               config.model = ModalConfigValidator.model(model);
               config.providerName = providerName as ServiceProvider;
@@ -247,7 +250,9 @@ export function ModelConfigList(props: {
           aria-label={Locale.Settings.CompressModel.Title}
           value={compressModelValue}
           onChange={(e) => {
-            const [model, providerName] = e.currentTarget.value.split("@");
+            const [model, providerName] = getModelProvider(
+              e.currentTarget.value,
+            );
             props.updateConfig((config) => {
               config.compressModel = ModalConfigValidator.model(model);
               config.compressProviderName = providerName as ServiceProvider;

app/components/new-chat.tsx

@@ -16,6 +16,7 @@ import { MaskAvatar } from "./mask";
 import { useCommand } from "../command";
 import { showConfirm } from "./ui-lib";
 import { BUILTIN_MASK_STORE } from "../masks";
+import clsx from "clsx";
 
 function MaskItem(props: { mask: Mask; onClick?: () => void }) {
   return (
@@ -24,7 +25,9 @@ function MaskItem(props: { mask: Mask; onClick?: () => void }) {
         avatar={props.mask.avatar}
         model={props.mask.modelConfig.model}
       />
-      <div className={styles["mask-name"] + " one-line"}>{props.mask.name}</div>
+      <div className={clsx(styles["mask-name"], "one-line")}>
+        {props.mask.name}
+      </div>
     </div>
   );
 }

app/components/plugin.module.scss

@@ -10,7 +10,29 @@
     max-height: 240px;
     overflow-y: auto;
     white-space: pre-wrap;
-    min-width: 300px;
+    min-width: 280px;
   }
 }
 
+.plugin-schema {
+  display: flex;
+  justify-content: flex-end;
+  flex-direction: row;
+
+  input {
+    margin-right: 20px;
+
+    @media screen and (max-width: 600px) {
+        margin-right: 0px;
+      }
+  }
+
+  @media screen and (max-width: 600px) {
+    flex-direction: column;
+    gap: 5px;
+
+    button {
+      padding: 10px;
+    }
+  }
+}

app/components/plugin.tsx

@@ -12,7 +12,6 @@ import EditIcon from "../icons/edit.svg";
 import AddIcon from "../icons/add.svg";
 import CloseIcon from "../icons/close.svg";
 import DeleteIcon from "../icons/delete.svg";
-import EyeIcon from "../icons/eye.svg";
 import ConfirmIcon from "../icons/confirm.svg";
 import ReloadIcon from "../icons/reload.svg";
 import GithubIcon from "../icons/github.svg";
@@ -29,7 +28,7 @@ import {
 import Locale from "../locales";
 import { useNavigate } from "react-router-dom";
 import { useState } from "react";
-import { getClientConfig } from "../config/client";
+import clsx from "clsx";
 
 export function PluginPage() {
   const navigate = useNavigate();
@@ -201,7 +200,7 @@ export function PluginPage() {
                     <div className={styles["mask-name"]}>
                       {m.title}@<small>{m.version}</small>
                     </div>
-                    <div className={styles["mask-info"] + " one-line"}>
+                    <div className={clsx(styles["mask-info"], "one-line")}>
                       {Locale.Plugin.Item.Info(
                         FunctionToolService.add(m).length,
                       )}
@@ -209,19 +208,11 @@ export function PluginPage() {
                   </div>
                 </div>
                 <div className={styles["mask-actions"]}>
-                  {m.builtin ? (
-                    <IconButton
-                      icon={<EyeIcon />}
-                      text={Locale.Plugin.Item.View}
-                      onClick={() => setEditingPluginId(m.id)}
-                    />
-                  ) : (
-                    <IconButton
-                      icon={<EditIcon />}
-                      text={Locale.Plugin.Item.Edit}
-                      onClick={() => setEditingPluginId(m.id)}
-                    />
-                  )}
+                  <IconButton
+                    icon={<EditIcon />}
+                    text={Locale.Plugin.Item.Edit}
+                    onClick={() => setEditingPluginId(m.id)}
+                  />
                   {!m.builtin && (
                     <IconButton
                       icon={<DeleteIcon />}
@@ -325,30 +316,13 @@ export function PluginPage() {
                   ></PasswordInput>
                 </ListItem>
               )}
-              {!getClientConfig()?.isApp && (
-                <ListItem
-                  title={Locale.Plugin.Auth.Proxy}
-                  subTitle={Locale.Plugin.Auth.ProxyDescription}
-                >
-                  <input
-                    type="checkbox"
-                    checked={editingPlugin?.usingProxy}
-                    style={{ minWidth: 16 }}
-                    onChange={(e) => {
-                      pluginStore.updatePlugin(editingPlugin.id, (plugin) => {
-                        plugin.usingProxy = e.currentTarget.checked;
-                      });
-                    }}
-                  ></input>
-                </ListItem>
-              )}
             </List>
             <List>
               <ListItem title={Locale.Plugin.EditModal.Content}>
-                <div style={{ display: "flex", justifyContent: "flex-end" }}>
+                <div className={pluginStyles["plugin-schema"]}>
                   <input
                     type="text"
-                    style={{ minWidth: 200, marginRight: 20 }}
+                    style={{ minWidth: 200 }}
                     onInput={(e) => setLoadUrl(e.currentTarget.value)}
                   ></input>
                   <IconButton
@@ -362,7 +336,10 @@ export function PluginPage() {
               <ListItem
                 subTitle={
                   <div
-                    className={`markdown-body ${pluginStyles["plugin-content"]}`}
+                    className={clsx(
+                      "markdown-body",
+                      pluginStyles["plugin-content"],
+                    )}
                     dir="auto"
                   >
                     <pre>

app/components/realtime-chat/index.ts

@@ -0,0 +1 @@
+export * from "./realtime-chat";

app/components/realtime-chat/realtime-chat.module.scss

@@ -0,0 +1,74 @@
+.realtime-chat {
+  width: 100%;
+  justify-content: center;
+  align-items: center;
+  position: relative;
+  display: flex;
+  flex-direction: column;
+  height: 100%;
+  padding: 20px;
+  box-sizing: border-box;
+  .circle-mic {
+    width: 150px;
+    height: 150px;
+    border-radius: 50%;
+    background: linear-gradient(to bottom right, #a0d8ef, #f0f8ff);
+    display: flex;
+    justify-content: center;
+    align-items: center;
+  }
+  .icon-center {
+    font-size: 24px;
+  }
+
+  .bottom-icons {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    width: 100%;
+    position: absolute;
+    bottom: 20px;
+    box-sizing: border-box;
+    padding: 0 20px;
+  }
+
+  .icon-left,
+  .icon-right {
+    width: 46px;
+    height: 46px;
+    font-size: 36px;
+    background: var(--second);
+    border-radius: 50%;
+    padding: 2px;
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    cursor: pointer;
+    &:hover {
+      opacity: 0.8;
+    }
+  }
+
+  &.mobile {
+    display: none;
+  }
+}
+
+.pulse {
+  animation: pulse 1.5s infinite;
+}
+
+@keyframes pulse {
+  0% {
+    transform: scale(1);
+    opacity: 0.7;
+  }
+  50% {
+    transform: scale(1.1);
+    opacity: 1;
+  }
+  100% {
+    transform: scale(1);
+    opacity: 0.7;
+  }
+}

app/components/realtime-chat/realtime-chat.tsx

@@ -0,0 +1,359 @@
+import VoiceIcon from "@/app/icons/voice.svg";
+import VoiceOffIcon from "@/app/icons/voice-off.svg";
+import PowerIcon from "@/app/icons/power.svg";
+
+import styles from "./realtime-chat.module.scss";
+import clsx from "clsx";
+
+import { useState, useRef, useEffect } from "react";
+
+import { useChatStore, createMessage, useAppConfig } from "@/app/store";
+
+import { IconButton } from "@/app/components/button";
+
+import {
+  Modality,
+  RTClient,
+  RTInputAudioItem,
+  RTResponse,
+  TurnDetection,
+} from "rt-client";
+import { AudioHandler } from "@/app/lib/audio";
+import { uploadImage } from "@/app/utils/chat";
+import { VoicePrint } from "@/app/components/voice-print";
+
+interface RealtimeChatProps {
+  onClose?: () => void;
+  onStartVoice?: () => void;
+  onPausedVoice?: () => void;
+}
+
+export function RealtimeChat({
+  onClose,
+  onStartVoice,
+  onPausedVoice,
+}: RealtimeChatProps) {
+  const chatStore = useChatStore();
+  const session = chatStore.currentSession();
+  const config = useAppConfig();
+  const [status, setStatus] = useState("");
+  const [isRecording, setIsRecording] = useState(false);
+  const [isConnected, setIsConnected] = useState(false);
+  const [isConnecting, setIsConnecting] = useState(false);
+  const [modality, setModality] = useState("audio");
+  const [useVAD, setUseVAD] = useState(true);
+  const [frequencies, setFrequencies] = useState<Uint8Array | undefined>();
+
+  const clientRef = useRef<RTClient | null>(null);
+  const audioHandlerRef = useRef<AudioHandler | null>(null);
+  const initRef = useRef(false);
+
+  const temperature = config.realtimeConfig.temperature;
+  const apiKey = config.realtimeConfig.apiKey;
+  const model = config.realtimeConfig.model;
+  const azure = config.realtimeConfig.provider === "Azure";
+  const azureEndpoint = config.realtimeConfig.azure.endpoint;
+  const azureDeployment = config.realtimeConfig.azure.deployment;
+  const voice = config.realtimeConfig.voice;
+
+  const handleConnect = async () => {
+    if (isConnecting) return;
+    if (!isConnected) {
+      try {
+        setIsConnecting(true);
+        clientRef.current = azure
+          ? new RTClient(
+              new URL(azureEndpoint),
+              { key: apiKey },
+              { deployment: azureDeployment },
+            )
+          : new RTClient({ key: apiKey }, { model });
+        const modalities: Modality[] =
+          modality === "audio" ? ["text", "audio"] : ["text"];
+        const turnDetection: TurnDetection = useVAD
+          ? { type: "server_vad" }
+          : null;
+        await clientRef.current.configure({
+          instructions: "",
+          voice,
+          input_audio_transcription: { model: "whisper-1" },
+          turn_detection: turnDetection,
+          tools: [],
+          temperature,
+          modalities,
+        });
+        startResponseListener();
+
+        setIsConnected(true);
+        // TODO
+        // try {
+        //   const recentMessages = chatStore.getMessagesWithMemory();
+        //   for (const message of recentMessages) {
+        //     const { role, content } = message;
+        //     if (typeof content === "string") {
+        //       await clientRef.current.sendItem({
+        //         type: "message",
+        //         role: role as any,
+        //         content: [
+        //           {
+        //             type: (role === "assistant" ? "text" : "input_text") as any,
+        //             text: content as string,
+        //           },
+        //         ],
+        //       });
+        //     }
+        //   }
+        //   // await clientRef.current.generateResponse();
+        // } catch (error) {
+        //   console.error("Set message failed:", error);
+        // }
+      } catch (error) {
+        console.error("Connection failed:", error);
+        setStatus("Connection failed");
+      } finally {
+        setIsConnecting(false);
+      }
+    } else {
+      await disconnect();
+    }
+  };
+
+  const disconnect = async () => {
+    if (clientRef.current) {
+      try {
+        await clientRef.current.close();
+        clientRef.current = null;
+        setIsConnected(false);
+      } catch (error) {
+        console.error("Disconnect failed:", error);
+      }
+    }
+  };
+
+  const startResponseListener = async () => {
+    if (!clientRef.current) return;
+
+    try {
+      for await (const serverEvent of clientRef.current.events()) {
+        if (serverEvent.type === "response") {
+          await handleResponse(serverEvent);
+        } else if (serverEvent.type === "input_audio") {
+          await handleInputAudio(serverEvent);
+        }
+      }
+    } catch (error) {
+      if (clientRef.current) {
+        console.error("Response iteration error:", error);
+      }
+    }
+  };
+
+  const handleResponse = async (response: RTResponse) => {
+    for await (const item of response) {
+      if (item.type === "message" && item.role === "assistant") {
+        const botMessage = createMessage({
+          role: item.role,
+          content: "",
+        });
+        // add bot message first
+        chatStore.updateTargetSession(session, (session) => {
+          session.messages = session.messages.concat([botMessage]);
+        });
+        let hasAudio = false;
+        for await (const content of item) {
+          if (content.type === "text") {
+            for await (const text of content.textChunks()) {
+              botMessage.content += text;
+            }
+          } else if (content.type === "audio") {
+            const textTask = async () => {
+              for await (const text of content.transcriptChunks()) {
+                botMessage.content += text;
+              }
+            };
+            const audioTask = async () => {
+              audioHandlerRef.current?.startStreamingPlayback();
+              for await (const audio of content.audioChunks()) {
+                hasAudio = true;
+                audioHandlerRef.current?.playChunk(audio);
+              }
+            };
+            await Promise.all([textTask(), audioTask()]);
+          }
+          // update message.content
+          chatStore.updateTargetSession(session, (session) => {
+            session.messages = session.messages.concat();
+          });
+        }
+        if (hasAudio) {
+          // upload audio get audio_url
+          const blob = audioHandlerRef.current?.savePlayFile();
+          uploadImage(blob!).then((audio_url) => {
+            botMessage.audio_url = audio_url;
+            // update text and audio_url
+            chatStore.updateTargetSession(session, (session) => {
+              session.messages = session.messages.concat();
+            });
+          });
+        }
+      }
+    }
+  };
+
+  const handleInputAudio = async (item: RTInputAudioItem) => {
+    await item.waitForCompletion();
+    if (item.transcription) {
+      const userMessage = createMessage({
+        role: "user",
+        content: item.transcription,
+      });
+      chatStore.updateTargetSession(session, (session) => {
+        session.messages = session.messages.concat([userMessage]);
+      });
+      // save input audio_url, and update session
+      const { audioStartMillis, audioEndMillis } = item;
+      // upload audio get audio_url
+      const blob = audioHandlerRef.current?.saveRecordFile(
+        audioStartMillis,
+        audioEndMillis,
+      );
+      uploadImage(blob!).then((audio_url) => {
+        userMessage.audio_url = audio_url;
+        chatStore.updateTargetSession(session, (session) => {
+          session.messages = session.messages.concat();
+        });
+      });
+    }
+    // stop streaming play after get input audio.
+    audioHandlerRef.current?.stopStreamingPlayback();
+  };
+
+  const toggleRecording = async () => {
+    if (!isRecording && clientRef.current) {
+      try {
+        if (!audioHandlerRef.current) {
+          audioHandlerRef.current = new AudioHandler();
+          await audioHandlerRef.current.initialize();
+        }
+        await audioHandlerRef.current.startRecording(async (chunk) => {
+          await clientRef.current?.sendAudio(chunk);
+        });
+        setIsRecording(true);
+      } catch (error) {
+        console.error("Failed to start recording:", error);
+      }
+    } else if (audioHandlerRef.current) {
+      try {
+        audioHandlerRef.current.stopRecording();
+        if (!useVAD) {
+          const inputAudio = await clientRef.current?.commitAudio();
+          await handleInputAudio(inputAudio!);
+          await clientRef.current?.generateResponse();
+        }
+        setIsRecording(false);
+      } catch (error) {
+        console.error("Failed to stop recording:", error);
+      }
+    }
+  };
+
+  useEffect(() => {
+    // 防止重复初始化
+    if (initRef.current) return;
+    initRef.current = true;
+
+    const initAudioHandler = async () => {
+      const handler = new AudioHandler();
+      await handler.initialize();
+      audioHandlerRef.current = handler;
+      await handleConnect();
+      await toggleRecording();
+    };
+
+    initAudioHandler().catch((error) => {
+      setStatus(error);
+      console.error(error);
+    });
+
+    return () => {
+      if (isRecording) {
+        toggleRecording();
+      }
+      audioHandlerRef.current?.close().catch(console.error);
+      disconnect();
+    };
+  }, []);
+
+  useEffect(() => {
+    let animationFrameId: number;
+
+    if (isConnected && isRecording) {
+      const animationFrame = () => {
+        if (audioHandlerRef.current) {
+          const freqData = audioHandlerRef.current.getByteFrequencyData();
+          setFrequencies(freqData);
+        }
+        animationFrameId = requestAnimationFrame(animationFrame);
+      };
+
+      animationFrameId = requestAnimationFrame(animationFrame);
+    } else {
+      setFrequencies(undefined);
+    }
+
+    return () => {
+      if (animationFrameId) {
+        cancelAnimationFrame(animationFrameId);
+      }
+    };
+  }, [isConnected, isRecording]);
+
+  // update session params
+  useEffect(() => {
+    clientRef.current?.configure({ voice });
+  }, [voice]);
+  useEffect(() => {
+    clientRef.current?.configure({ temperature });
+  }, [temperature]);
+
+  const handleClose = async () => {
+    onClose?.();
+    if (isRecording) {
+      await toggleRecording();
+    }
+    disconnect().catch(console.error);
+  };
+
+  return (
+    <div className={styles["realtime-chat"]}>
+      <div
+        className={clsx(styles["circle-mic"], {
+          [styles["pulse"]]: isRecording,
+        })}
+      >
+        <VoicePrint frequencies={frequencies} isActive={isRecording} />
+      </div>
+
+      <div className={styles["bottom-icons"]}>
+        <div>
+          <IconButton
+            icon={isRecording ? <VoiceIcon /> : <VoiceOffIcon />}
+            onClick={toggleRecording}
+            disabled={!isConnected}
+            shadow
+            bordered
+          />
+        </div>
+        <div className={styles["icon-center"]}>{status}</div>
+        <div>
+          <IconButton
+            icon={<PowerIcon />}
+            onClick={handleClose}
+            shadow
+            bordered
+          />
+        </div>
+      </div>
+    </div>
+  );
+}

app/components/realtime-chat/realtime-config.tsx

@@ -0,0 +1,173 @@
+import { RealtimeConfig } from "@/app/store";
+
+import Locale from "@/app/locales";
+import { ListItem, Select, PasswordInput } from "@/app/components/ui-lib";
+
+import { InputRange } from "@/app/components/input-range";
+import { Voice } from "rt-client";
+import { ServiceProvider } from "@/app/constant";
+
+const providers = [ServiceProvider.OpenAI, ServiceProvider.Azure];
+
+const models = ["gpt-4o-realtime-preview-2024-10-01"];
+
+const voice = ["alloy", "shimmer", "echo"];
+
+export function RealtimeConfigList(props: {
+  realtimeConfig: RealtimeConfig;
+  updateConfig: (updater: (config: RealtimeConfig) => void) => void;
+}) {
+  const azureConfigComponent = props.realtimeConfig.provider ===
+    ServiceProvider.Azure && (
+    <>
+      <ListItem
+        title={Locale.Settings.Realtime.Azure.Endpoint.Title}
+        subTitle={Locale.Settings.Realtime.Azure.Endpoint.SubTitle}
+      >
+        <input
+          value={props.realtimeConfig?.azure?.endpoint}
+          type="text"
+          placeholder={Locale.Settings.Realtime.Azure.Endpoint.Title}
+          onChange={(e) => {
+            props.updateConfig(
+              (config) => (config.azure.endpoint = e.currentTarget.value),
+            );
+          }}
+        />
+      </ListItem>
+      <ListItem
+        title={Locale.Settings.Realtime.Azure.Deployment.Title}
+        subTitle={Locale.Settings.Realtime.Azure.Deployment.SubTitle}
+      >
+        <input
+          value={props.realtimeConfig?.azure?.deployment}
+          type="text"
+          placeholder={Locale.Settings.Realtime.Azure.Deployment.Title}
+          onChange={(e) => {
+            props.updateConfig(
+              (config) => (config.azure.deployment = e.currentTarget.value),
+            );
+          }}
+        />
+      </ListItem>
+    </>
+  );
+
+  return (
+    <>
+      <ListItem
+        title={Locale.Settings.Realtime.Enable.Title}
+        subTitle={Locale.Settings.Realtime.Enable.SubTitle}
+      >
+        <input
+          type="checkbox"
+          checked={props.realtimeConfig.enable}
+          onChange={(e) =>
+            props.updateConfig(
+              (config) => (config.enable = e.currentTarget.checked),
+            )
+          }
+        ></input>
+      </ListItem>
+
+      {props.realtimeConfig.enable && (
+        <>
+          <ListItem
+            title={Locale.Settings.Realtime.Provider.Title}
+            subTitle={Locale.Settings.Realtime.Provider.SubTitle}
+          >
+            <Select
+              aria-label={Locale.Settings.Realtime.Provider.Title}
+              value={props.realtimeConfig.provider}
+              onChange={(e) => {
+                props.updateConfig(
+                  (config) =>
+                    (config.provider = e.target.value as ServiceProvider),
+                );
+              }}
+            >
+              {providers.map((v, i) => (
+                <option value={v} key={i}>
+                  {v}
+                </option>
+              ))}
+            </Select>
+          </ListItem>
+          <ListItem
+            title={Locale.Settings.Realtime.Model.Title}
+            subTitle={Locale.Settings.Realtime.Model.SubTitle}
+          >
+            <Select
+              aria-label={Locale.Settings.Realtime.Model.Title}
+              value={props.realtimeConfig.model}
+              onChange={(e) => {
+                props.updateConfig((config) => (config.model = e.target.value));
+              }}
+            >
+              {models.map((v, i) => (
+                <option value={v} key={i}>
+                  {v}
+                </option>
+              ))}
+            </Select>
+          </ListItem>
+          <ListItem
+            title={Locale.Settings.Realtime.ApiKey.Title}
+            subTitle={Locale.Settings.Realtime.ApiKey.SubTitle}
+          >
+            <PasswordInput
+              aria={Locale.Settings.ShowPassword}
+              aria-label={Locale.Settings.Realtime.ApiKey.Title}
+              value={props.realtimeConfig.apiKey}
+              type="text"
+              placeholder={Locale.Settings.Realtime.ApiKey.Placeholder}
+              onChange={(e) => {
+                props.updateConfig(
+                  (config) => (config.apiKey = e.currentTarget.value),
+                );
+              }}
+            />
+          </ListItem>
+          {azureConfigComponent}
+          <ListItem
+            title={Locale.Settings.TTS.Voice.Title}
+            subTitle={Locale.Settings.TTS.Voice.SubTitle}
+          >
+            <Select
+              value={props.realtimeConfig.voice}
+              onChange={(e) => {
+                props.updateConfig(
+                  (config) => (config.voice = e.currentTarget.value as Voice),
+                );
+              }}
+            >
+              {voice.map((v, i) => (
+                <option value={v} key={i}>
+                  {v}
+                </option>
+              ))}
+            </Select>
+          </ListItem>
+          <ListItem
+            title={Locale.Settings.Realtime.Temperature.Title}
+            subTitle={Locale.Settings.Realtime.Temperature.SubTitle}
+          >
+            <InputRange
+              aria={Locale.Settings.Temperature.Title}
+              value={props.realtimeConfig?.temperature?.toFixed(1)}
+              min="0.6"
+              max="1"
+              step="0.1"
+              onChange={(e) => {
+                props.updateConfig(
+                  (config) =>
+                    (config.temperature = e.currentTarget.valueAsNumber),
+                );
+              }}
+            ></InputRange>
+          </ListItem>
+        </>
+      )}
+    </>
+  );
+}

app/components/sd/sd-panel.tsx

@@ -4,6 +4,7 @@ import { Select } from "@/app/components/ui-lib";
 import { IconButton } from "@/app/components/button";
 import Locale from "@/app/locales";
 import { useSdStore } from "@/app/store/sd";
+import clsx from "clsx";
 
 export const params = [
   {
@@ -136,7 +137,7 @@ export function ControlParamItem(props: {
   className?: string;
 }) {
   return (
-    <div className={styles["ctrl-param-item"] + ` ${props.className || ""}`}>
+    <div className={clsx(styles["ctrl-param-item"], props.className)}>
       <div className={styles["ctrl-param-item-header"]}>
         <div className={styles["ctrl-param-item-title"]}>
           <div>

app/components/sd/sd.tsx

@@ -36,6 +36,7 @@ import { removeImage } from "@/app/utils/chat";
 import { SideBar } from "./sd-sidebar";
 import { WindowContent } from "@/app/components/home";
 import { params } from "./sd-panel";
+import clsx from "clsx";
 
 function getSdTaskStatus(item: any) {
   let s: string;
@@ -104,7 +105,7 @@ export function Sd() {
 
   return (
     <>
-      <SideBar className={isSd ? homeStyles["sidebar-show"] : ""} />
+      <SideBar className={clsx({ [homeStyles["sidebar-show"]]: isSd })} />
       <WindowContent>
         <div className={chatStyles.chat} key={"1"}>
           <div className="window-header" data-tauri-drag-region>
@@ -121,7 +122,10 @@ export function Sd() {
               </div>
             )}
             <div
-              className={`window-header-title ${chatStyles["chat-body-title"]}`}
+              className={clsx(
+                "window-header-title",
+                chatStyles["chat-body-title"],
+              )}
             >
               <div className={`window-header-main-title`}>Stability AI</div>
               <div className="window-header-sub-title">

app/components/settings.tsx

@@ -49,7 +49,7 @@ import Locale, {
   changeLang,
   getLang,
 } from "../locales";
-import { copyToClipboard } from "../utils";
+import { copyToClipboard, clientUpdate, semverCompare } from "../utils";
 import Link from "next/link";
 import {
   Anthropic,
@@ -59,6 +59,7 @@ import {
   ByteDance,
   Alibaba,
   Moonshot,
+  XAI,
   Google,
   GoogleSafetySettingsThreshold,
   OPENAI_BASE_URL,
@@ -71,6 +72,10 @@ import {
   Stability,
   Iflytek,
   SAAS_CHAT_URL,
+  ChatGLM,
+  DeepSeek,
+  SiliconFlow,
+  AI302,
 } from "../constant";
 import { Prompt, SearchService, usePromptStore } from "../store/prompt";
 import { ErrorBoundary } from "./error";
@@ -83,6 +88,7 @@ import { nanoid } from "nanoid";
 import { useMaskStore } from "../store/mask";
 import { ProviderType } from "../utils/cloud";
 import { TTSConfigList } from "./tts-config";
+import { RealtimeConfigList } from "./realtime-chat/realtime-config";
 
 function EditPromptModal(props: { id: string; onClose: () => void }) {
   const promptStore = usePromptStore();
@@ -585,7 +591,7 @@ export function Settings() {
   const [checkingUpdate, setCheckingUpdate] = useState(false);
   const currentVersion = updateStore.formatVersion(updateStore.version);
   const remoteId = updateStore.formatVersion(updateStore.remoteVersion);
-  const hasNewVersion = currentVersion !== remoteId;
+  const hasNewVersion = semverCompare(currentVersion, remoteId) === -1;
   const updateUrl = getClientConfig()?.isApp ? RELEASE_URL : UPDATE_URL;
 
   function checkUpdate(force = false) {
@@ -1194,6 +1200,167 @@ export function Settings() {
     </>
   );
 
+  const deepseekConfigComponent = accessStore.provider ===
+    ServiceProvider.DeepSeek && (
+    <>
+      <ListItem
+        title={Locale.Settings.Access.DeepSeek.Endpoint.Title}
+        subTitle={
+          Locale.Settings.Access.DeepSeek.Endpoint.SubTitle +
+          DeepSeek.ExampleEndpoint
+        }
+      >
+        <input
+          aria-label={Locale.Settings.Access.DeepSeek.Endpoint.Title}
+          type="text"
+          value={accessStore.deepseekUrl}
+          placeholder={DeepSeek.ExampleEndpoint}
+          onChange={(e) =>
+            accessStore.update(
+              (access) => (access.deepseekUrl = e.currentTarget.value),
+            )
+          }
+        ></input>
+      </ListItem>
+      <ListItem
+        title={Locale.Settings.Access.DeepSeek.ApiKey.Title}
+        subTitle={Locale.Settings.Access.DeepSeek.ApiKey.SubTitle}
+      >
+        <PasswordInput
+          aria-label={Locale.Settings.Access.DeepSeek.ApiKey.Title}
+          value={accessStore.deepseekApiKey}
+          type="text"
+          placeholder={Locale.Settings.Access.DeepSeek.ApiKey.Placeholder}
+          onChange={(e) => {
+            accessStore.update(
+              (access) => (access.deepseekApiKey = e.currentTarget.value),
+            );
+          }}
+        />
+      </ListItem>
+    </>
+  );
+
+  const XAIConfigComponent = accessStore.provider === ServiceProvider.XAI && (
+    <>
+      <ListItem
+        title={Locale.Settings.Access.XAI.Endpoint.Title}
+        subTitle={
+          Locale.Settings.Access.XAI.Endpoint.SubTitle + XAI.ExampleEndpoint
+        }
+      >
+        <input
+          aria-label={Locale.Settings.Access.XAI.Endpoint.Title}
+          type="text"
+          value={accessStore.xaiUrl}
+          placeholder={XAI.ExampleEndpoint}
+          onChange={(e) =>
+            accessStore.update(
+              (access) => (access.xaiUrl = e.currentTarget.value),
+            )
+          }
+        ></input>
+      </ListItem>
+      <ListItem
+        title={Locale.Settings.Access.XAI.ApiKey.Title}
+        subTitle={Locale.Settings.Access.XAI.ApiKey.SubTitle}
+      >
+        <PasswordInput
+          aria-label={Locale.Settings.Access.XAI.ApiKey.Title}
+          value={accessStore.xaiApiKey}
+          type="text"
+          placeholder={Locale.Settings.Access.XAI.ApiKey.Placeholder}
+          onChange={(e) => {
+            accessStore.update(
+              (access) => (access.xaiApiKey = e.currentTarget.value),
+            );
+          }}
+        />
+      </ListItem>
+    </>
+  );
+
+  const chatglmConfigComponent = accessStore.provider ===
+    ServiceProvider.ChatGLM && (
+    <>
+      <ListItem
+        title={Locale.Settings.Access.ChatGLM.Endpoint.Title}
+        subTitle={
+          Locale.Settings.Access.ChatGLM.Endpoint.SubTitle +
+          ChatGLM.ExampleEndpoint
+        }
+      >
+        <input
+          aria-label={Locale.Settings.Access.ChatGLM.Endpoint.Title}
+          type="text"
+          value={accessStore.chatglmUrl}
+          placeholder={ChatGLM.ExampleEndpoint}
+          onChange={(e) =>
+            accessStore.update(
+              (access) => (access.chatglmUrl = e.currentTarget.value),
+            )
+          }
+        ></input>
+      </ListItem>
+      <ListItem
+        title={Locale.Settings.Access.ChatGLM.ApiKey.Title}
+        subTitle={Locale.Settings.Access.ChatGLM.ApiKey.SubTitle}
+      >
+        <PasswordInput
+          aria-label={Locale.Settings.Access.ChatGLM.ApiKey.Title}
+          value={accessStore.chatglmApiKey}
+          type="text"
+          placeholder={Locale.Settings.Access.ChatGLM.ApiKey.Placeholder}
+          onChange={(e) => {
+            accessStore.update(
+              (access) => (access.chatglmApiKey = e.currentTarget.value),
+            );
+          }}
+        />
+      </ListItem>
+    </>
+  );
+  const siliconflowConfigComponent = accessStore.provider ===
+    ServiceProvider.SiliconFlow && (
+    <>
+      <ListItem
+        title={Locale.Settings.Access.SiliconFlow.Endpoint.Title}
+        subTitle={
+          Locale.Settings.Access.SiliconFlow.Endpoint.SubTitle +
+          SiliconFlow.ExampleEndpoint
+        }
+      >
+        <input
+          aria-label={Locale.Settings.Access.SiliconFlow.Endpoint.Title}
+          type="text"
+          value={accessStore.siliconflowUrl}
+          placeholder={SiliconFlow.ExampleEndpoint}
+          onChange={(e) =>
+            accessStore.update(
+              (access) => (access.siliconflowUrl = e.currentTarget.value),
+            )
+          }
+        ></input>
+      </ListItem>
+      <ListItem
+        title={Locale.Settings.Access.SiliconFlow.ApiKey.Title}
+        subTitle={Locale.Settings.Access.SiliconFlow.ApiKey.SubTitle}
+      >
+        <PasswordInput
+          aria-label={Locale.Settings.Access.SiliconFlow.ApiKey.Title}
+          value={accessStore.siliconflowApiKey}
+          type="text"
+          placeholder={Locale.Settings.Access.SiliconFlow.ApiKey.Placeholder}
+          onChange={(e) => {
+            accessStore.update(
+              (access) => (access.siliconflowApiKey = e.currentTarget.value),
+            );
+          }}
+        />
+      </ListItem>
+    </>
+  );
+
   const stabilityConfigComponent = accessStore.provider ===
     ServiceProvider.Stability && (
     <>
@@ -1292,6 +1459,46 @@ export function Settings() {
     </>
   );
 
+  const ai302ConfigComponent = accessStore.provider === ServiceProvider["302.AI"] && (
+    <>
+      <ListItem
+          title={Locale.Settings.Access.AI302.Endpoint.Title}
+          subTitle={
+            Locale.Settings.Access.AI302.Endpoint.SubTitle +
+            AI302.ExampleEndpoint
+          }
+        >
+          <input
+            aria-label={Locale.Settings.Access.AI302.Endpoint.Title}
+            type="text"
+            value={accessStore.ai302Url}
+            placeholder={AI302.ExampleEndpoint}
+            onChange={(e) =>
+              accessStore.update(
+                (access) => (access.ai302Url = e.currentTarget.value),
+              )
+            }
+          ></input>
+        </ListItem>
+        <ListItem
+          title={Locale.Settings.Access.AI302.ApiKey.Title}
+          subTitle={Locale.Settings.Access.AI302.ApiKey.SubTitle}
+        >
+          <PasswordInput
+            aria-label={Locale.Settings.Access.AI302.ApiKey.Title}
+            value={accessStore.ai302ApiKey}
+            type="text"
+            placeholder={Locale.Settings.Access.AI302.ApiKey.Placeholder}
+            onChange={(e) => {
+              accessStore.update(
+                (access) => (access.ai302ApiKey = e.currentTarget.value),
+              );
+            }}
+          />
+        </ListItem>
+      </>
+  );
+
   return (
     <ErrorBoundary>
       <div className="window-header" data-tauri-drag-region>
@@ -1357,9 +1564,17 @@ export function Settings() {
             {checkingUpdate ? (
               <LoadingIcon />
             ) : hasNewVersion ? (
-              <Link href={updateUrl} target="_blank" className="link">
-                {Locale.Settings.Update.GoToUpdate}
-              </Link>
+              clientConfig?.isApp ? (
+                <IconButton
+                  icon={<ResetIcon></ResetIcon>}
+                  text={Locale.Settings.Update.GoToUpdate}
+                  onClick={() => clientUpdate()}
+                />
+              ) : (
+                <Link href={updateUrl} target="_blank" className="link">
+                  {Locale.Settings.Update.GoToUpdate}
+                </Link>
+              )
             ) : (
               <IconButton
                 icon={<ResetIcon></ResetIcon>}
@@ -1492,6 +1707,39 @@ export function Settings() {
               }
             ></input>
           </ListItem>
+
+          <ListItem
+            title={Locale.Mask.Config.Artifacts.Title}
+            subTitle={Locale.Mask.Config.Artifacts.SubTitle}
+          >
+            <input
+              aria-label={Locale.Mask.Config.Artifacts.Title}
+              type="checkbox"
+              checked={config.enableArtifacts}
+              onChange={(e) =>
+                updateConfig(
+                  (config) =>
+                    (config.enableArtifacts = e.currentTarget.checked),
+                )
+              }
+            ></input>
+          </ListItem>
+          <ListItem
+            title={Locale.Mask.Config.CodeFold.Title}
+            subTitle={Locale.Mask.Config.CodeFold.SubTitle}
+          >
+            <input
+              aria-label={Locale.Mask.Config.CodeFold.Title}
+              type="checkbox"
+              checked={config.enableCodeFold}
+              data-testid="enable-code-fold-checkbox"
+              onChange={(e) =>
+                updateConfig(
+                  (config) => (config.enableCodeFold = e.currentTarget.checked),
+                )
+              }
+            ></input>
+          </ListItem>
         </List>
 
         <SyncItems />
@@ -1609,8 +1857,13 @@ export function Settings() {
                   {alibabaConfigComponent}
                   {tencentConfigComponent}
                   {moonshotConfigComponent}
+                  {deepseekConfigComponent}
                   {stabilityConfigComponent}
                   {lflytekConfigComponent}
+                  {XAIConfigComponent}
+                  {chatglmConfigComponent}
+                  {siliconflowConfigComponent}
+                  {ai302ConfigComponent}
                 </>
               )}
             </>
@@ -1645,9 +1898,11 @@ export function Settings() {
           <ListItem
             title={Locale.Settings.Access.CustomModel.Title}
             subTitle={Locale.Settings.Access.CustomModel.SubTitle}
+            vertical={true}
           >
             <input
               aria-label={Locale.Settings.Access.CustomModel.Title}
+              style={{ width: "100%", maxWidth: "unset", textAlign: "left" }}
               type="text"
               value={config.customModels}
               placeholder="model1,model2,model3"
@@ -1674,7 +1929,18 @@ export function Settings() {
         {shouldShowPromptModal && (
           <UserPromptModal onClose={() => setShowPromptModal(false)} />
         )}
-
+        <List>
+          <RealtimeConfigList
+            realtimeConfig={config.realtimeConfig}
+            updateConfig={(updater) => {
+              const realtimeConfig = { ...config.realtimeConfig };
+              updater(realtimeConfig);
+              config.update(
+                (config) => (config.realtimeConfig = realtimeConfig),
+              );
+            }}
+          />
+        </List>
         <List>
           <TTSConfigList
             ttsConfig={config.ttsConfig}

app/components/sidebar.tsx

@@ -1,4 +1,4 @@
-import React, { useEffect, useRef, useMemo, useState, Fragment } from "react";
+import React, { Fragment, useEffect, useMemo, useRef, useState } from "react";
 
 import styles from "./home.module.scss";
 
@@ -9,6 +9,7 @@ import ChatGptIcon from "../icons/chatgpt.svg";
 import AddIcon from "../icons/add.svg";
 import DeleteIcon from "../icons/delete.svg";
 import MaskIcon from "../icons/mask.svg";
+import McpIcon from "../icons/mcp.svg";
 import DragIcon from "../icons/drag.svg";
 import DiscoveryIcon from "../icons/discovery.svg";
 
@@ -22,14 +23,21 @@ import {
   MIN_SIDEBAR_WIDTH,
   NARROW_SIDEBAR_WIDTH,
   Path,
-  PLUGINS,
   REPO_URL,
 } from "../constant";
 
 import { Link, useNavigate } from "react-router-dom";
 import { isIOS, useMobileScreen } from "../utils";
 import dynamic from "next/dynamic";
-import { showConfirm, Selector } from "./ui-lib";
+import { Selector, showConfirm } from "./ui-lib";
+import clsx from "clsx";
+import { isMcpEnabled } from "../mcp/actions";
+
+const DISCOVERY = [
+  { name: Locale.Plugin.Name, path: Path.Plugins },
+  { name: "Stable Diffusion", path: Path.Sd },
+  { name: Locale.SearchChat.Page.Title, path: Path.SearchChat },
+];
 
 const ChatList = dynamic(async () => (await import("./chat-list")).ChatList, {
   loading: () => null,
@@ -127,6 +135,7 @@ export function useDragSideBar() {
     shouldNarrow,
   };
 }
+
 export function SideBarContainer(props: {
   children: React.ReactNode;
   onDragStart: (e: MouseEvent) => void;
@@ -141,9 +150,9 @@ export function SideBarContainer(props: {
   const { children, className, onDragStart, shouldNarrow } = props;
   return (
     <div
-      className={`${styles.sidebar} ${className} ${
-        shouldNarrow && styles["narrow-sidebar"]
-      }`}
+      className={clsx(styles.sidebar, className, {
+        [styles["narrow-sidebar"]]: shouldNarrow,
+      })}
       style={{
         // #3016 disable transition on ios mobile screen
         transition: isMobileScreen && isIOSMobile ? "none" : undefined,
@@ -165,18 +174,24 @@ export function SideBarHeader(props: {
   subTitle?: string | React.ReactNode;
   logo?: React.ReactNode;
   children?: React.ReactNode;
+  shouldNarrow?: boolean;
 }) {
-  const { title, subTitle, logo, children } = props;
+  const { title, subTitle, logo, children, shouldNarrow } = props;
   return (
     <Fragment>
-      <div className={styles["sidebar-header"]} data-tauri-drag-region>
+      <div
+        className={clsx(styles["sidebar-header"], {
+          [styles["sidebar-header-narrow"]]: shouldNarrow,
+        })}
+        data-tauri-drag-region
+      >
         <div className={styles["sidebar-title-container"]}>
           <div className={styles["sidebar-title"]} data-tauri-drag-region>
             {title}
           </div>
           <div className={styles["sidebar-sub-title"]}>{subTitle}</div>
         </div>
-        <div className={styles["sidebar-logo"] + " no-dark"}>{logo}</div>
+        <div className={clsx(styles["sidebar-logo"], "no-dark")}>{logo}</div>
       </div>
       {children}
     </Fragment>
@@ -212,10 +227,21 @@ export function SideBarTail(props: {
 export function SideBar(props: { className?: string }) {
   useHotKey();
   const { onDragStart, shouldNarrow } = useDragSideBar();
-  const [showPluginSelector, setShowPluginSelector] = useState(false);
+  const [showDiscoverySelector, setshowDiscoverySelector] = useState(false);
   const navigate = useNavigate();
   const config = useAppConfig();
   const chatStore = useChatStore();
+  const [mcpEnabled, setMcpEnabled] = useState(false);
+
+  useEffect(() => {
+    // 检查 MCP 是否启用
+    const checkMcpStatus = async () => {
+      const enabled = await isMcpEnabled();
+      setMcpEnabled(enabled);
+      console.log("[SideBar] MCP enabled:", enabled);
+    };
+    checkMcpStatus();
+  }, []);
 
   return (
     <SideBarContainer
@@ -227,6 +253,7 @@ export function SideBar(props: { className?: string }) {
         title="NextChat"
         subTitle="Build your own AI assistant."
         logo={<ChatGptIcon />}
+        shouldNarrow={shouldNarrow}
       >
         <div className={styles["sidebar-header-bar"]}>
           <IconButton
@@ -242,25 +269,36 @@ export function SideBar(props: { className?: string }) {
             }}
             shadow
           />
+          {mcpEnabled && (
+            <IconButton
+              icon={<McpIcon />}
+              text={shouldNarrow ? undefined : Locale.Mcp.Name}
+              className={styles["sidebar-bar-button"]}
+              onClick={() => {
+                navigate(Path.McpMarket, { state: { fromHome: true } });
+              }}
+              shadow
+            />
+          )}
           <IconButton
             icon={<DiscoveryIcon />}
             text={shouldNarrow ? undefined : Locale.Discovery.Name}
             className={styles["sidebar-bar-button"]}
-            onClick={() => setShowPluginSelector(true)}
+            onClick={() => setshowDiscoverySelector(true)}
             shadow
           />
         </div>
-        {showPluginSelector && (
+        {showDiscoverySelector && (
           <Selector
             items={[
-              ...PLUGINS.map((item) => {
+              ...DISCOVERY.map((item) => {
                 return {
                   title: item.name,
                   value: item.path,
                 };
               }),
             ]}
-            onClose={() => setShowPluginSelector(false)}
+            onClose={() => setshowDiscoverySelector(false)}
             onSelection={(s) => {
               navigate(s[0], { state: { fromHome: true } });
             }}
@@ -279,7 +317,7 @@ export function SideBar(props: { className?: string }) {
       <SideBarTail
         primaryAction={
           <>
-            <div className={styles["sidebar-action"] + " " + styles.mobile}>
+            <div className={clsx(styles["sidebar-action"], styles.mobile)}>
               <IconButton
                 icon={<DeleteIcon />}
                 onClick={async () => {

app/components/ui-lib.tsx

@@ -23,6 +23,8 @@ import React, {
   useRef,
 } from "react";
 import { IconButton } from "./button";
+import { Avatar } from "./emoji";
+import clsx from "clsx";
 
 export function Popover(props: {
   children: JSX.Element;
@@ -45,7 +47,7 @@ export function Popover(props: {
 
 export function Card(props: { children: JSX.Element[]; className?: string }) {
   return (
-    <div className={styles.card + " " + props.className}>{props.children}</div>
+    <div className={clsx(styles.card, props.className)}>{props.children}</div>
   );
 }
 
@@ -60,11 +62,13 @@ export function ListItem(props: {
 }) {
   return (
     <div
-      className={
-        styles["list-item"] +
-        ` ${props.vertical ? styles["vertical"] : ""} ` +
-        ` ${props.className || ""}`
-      }
+      className={clsx(
+        styles["list-item"],
+        {
+          [styles["vertical"]]: props.vertical,
+        },
+        props.className,
+      )}
       onClick={props.onClick}
     >
       <div className={styles["list-header"]}>
@@ -135,9 +139,9 @@ export function Modal(props: ModalProps) {
 
   return (
     <div
-      className={
-        styles["modal-container"] + ` ${isMax && styles["modal-container-max"]}`
-      }
+      className={clsx(styles["modal-container"], {
+        [styles["modal-container-max"]]: isMax,
+      })}
     >
       <div className={styles["modal-header"]}>
         <div className={styles["modal-title"]}>{props.title}</div>
@@ -260,7 +264,7 @@ export function Input(props: InputProps) {
   return (
     <textarea
       {...props}
-      className={`${styles["input"]} ${props.className}`}
+      className={clsx(styles["input"], props.className)}
     ></textarea>
   );
 }
@@ -301,9 +305,13 @@ export function Select(
   const { className, children, align, ...otherProps } = props;
   return (
     <div
-      className={`${styles["select-with-icon"]} ${
-        align === "left" ? styles["left-align-option"] : ""
-      } ${className}`}
+      className={clsx(
+        styles["select-with-icon"],
+        {
+          [styles["left-align-option"]]: align === "left",
+        },
+        className,
+      )}
     >
       <select className={styles["select-with-icon-select"]} {...otherProps}>
         {children}
@@ -509,12 +517,13 @@ export function Selector<T>(props: {
             const selected = selectedValues.includes(item.value);
             return (
               <ListItem
-                className={`${styles["selector-item"]} ${
-                  item.disable && styles["selector-item-disabled"]
-                }`}
+                className={clsx(styles["selector-item"], {
+                  [styles["selector-item-disabled"]]: item.disable,
+                })}
                 key={i}
                 title={item.title}
                 subTitle={item.subTitle}
+                icon={<Avatar model={item.value as string} />}
                 onClick={(e) => {
                   if (item.disable) {
                     e.stopPropagation();

app/components/voice-print/index.ts

@@ -0,0 +1 @@
+export * from "./voice-print";

app/components/voice-print/voice-print.module.scss

@@ -0,0 +1,11 @@
+.voice-print {
+  width: 100%;
+  height: 60px;
+  margin: 20px 0;
+
+  canvas {
+    width: 100%;
+    height: 100%;
+    filter: brightness(1.2); // 增加整体亮度
+  }
+}

app/components/voice-print/voice-print.tsx

@@ -0,0 +1,180 @@
+import { useEffect, useRef, useCallback } from "react";
+import styles from "./voice-print.module.scss";
+
+interface VoicePrintProps {
+  frequencies?: Uint8Array;
+  isActive?: boolean;
+}
+
+export function VoicePrint({ frequencies, isActive }: VoicePrintProps) {
+  // Canvas引用，用于获取绘图上下文
+  const canvasRef = useRef<HTMLCanvasElement>(null);
+  // 存储历史频率数据，用于平滑处理
+  const historyRef = useRef<number[][]>([]);
+  // 控制保留的历史数据帧数，影响平滑度
+  const historyLengthRef = useRef(10);
+  // 存储动画帧ID，用于清理
+  const animationFrameRef = useRef<number>();
+
+  /**
+   * 更新频率历史数据
+   * 使用FIFO队列维护固定长度的历史记录
+   */
+  const updateHistory = useCallback((freqArray: number[]) => {
+    historyRef.current.push(freqArray);
+    if (historyRef.current.length > historyLengthRef.current) {
+      historyRef.current.shift();
+    }
+  }, []);
+
+  useEffect(() => {
+    const canvas = canvasRef.current;
+    if (!canvas) return;
+
+    const ctx = canvas.getContext("2d");
+    if (!ctx) return;
+
+    /**
+     * 处理高DPI屏幕显示
+     * 根据设备像素比例调整canvas实际渲染分辨率
+     */
+    const dpr = window.devicePixelRatio || 1;
+    canvas.width = canvas.offsetWidth * dpr;
+    canvas.height = canvas.offsetHeight * dpr;
+    ctx.scale(dpr, dpr);
+
+    /**
+     * 主要绘制函数
+     * 使用requestAnimationFrame实现平滑动画
+     * 包含以下步骤：
+     * 1. 清空画布
+     * 2. 更新历史数据
+     * 3. 计算波形点
+     * 4. 绘制上下对称的声纹
+     */
+    const draw = () => {
+      // 清空画布
+      ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+      if (!frequencies || !isActive) {
+        historyRef.current = [];
+        return;
+      }
+
+      const freqArray = Array.from(frequencies);
+      updateHistory(freqArray);
+
+      // 绘制声纹
+      const points: [number, number][] = [];
+      const centerY = canvas.height / 2;
+      const width = canvas.width;
+      const sliceWidth = width / (frequencies.length - 1);
+
+      // 绘制主波形
+      ctx.beginPath();
+      ctx.moveTo(0, centerY);
+
+      /**
+       * 声纹绘制算法：
+       * 1. 使用历史数据平均值实现平滑过渡
+       * 2. 通过正弦函数添加自然波动
+       * 3. 使用贝塞尔曲线连接点，使曲线更平滑
+       * 4. 绘制对称部分形成完整声纹
+       */
+      for (let i = 0; i < frequencies.length; i++) {
+        const x = i * sliceWidth;
+        let avgFrequency = frequencies[i];
+
+        /**
+         * 波形平滑处理：
+         * 1. 收集历史数据中对应位置的频率值
+         * 2. 计算当前值与历史值的加权平均
+         * 3. 根据平均值计算实际显示高度
+         */
+        if (historyRef.current.length > 0) {
+          const historicalValues = historyRef.current.map((h) => h[i] || 0);
+          avgFrequency =
+            (avgFrequency + historicalValues.reduce((a, b) => a + b, 0)) /
+            (historyRef.current.length + 1);
+        }
+
+        /**
+         * 波形变换：
+         * 1. 归一化频率值到0-1范围
+         * 2. 添加时间相关的正弦变换
+         * 3. 使用贝塞尔曲线平滑连接点
+         */
+        const normalized = avgFrequency / 255.0;
+        const height = normalized * (canvas.height / 2);
+        const y = centerY + height * Math.sin(i * 0.2 + Date.now() * 0.002);
+
+        points.push([x, y]);
+
+        if (i === 0) {
+          ctx.moveTo(x, y);
+        } else {
+          // 使用贝塞尔曲线使波形更平滑
+          const prevPoint = points[i - 1];
+          const midX = (prevPoint[0] + x) / 2;
+          ctx.quadraticCurveTo(
+            prevPoint[0],
+            prevPoint[1],
+            midX,
+            (prevPoint[1] + y) / 2,
+          );
+        }
+      }
+
+      // 绘制对称的下半部分
+      for (let i = points.length - 1; i >= 0; i--) {
+        const [x, y] = points[i];
+        const symmetricY = centerY - (y - centerY);
+        if (i === points.length - 1) {
+          ctx.lineTo(x, symmetricY);
+        } else {
+          const nextPoint = points[i + 1];
+          const midX = (nextPoint[0] + x) / 2;
+          ctx.quadraticCurveTo(
+            nextPoint[0],
+            centerY - (nextPoint[1] - centerY),
+            midX,
+            centerY - ((nextPoint[1] + y) / 2 - centerY),
+          );
+        }
+      }
+
+      ctx.closePath();
+
+      /**
+       * 渐变效果：
+       * 从左到右应用三色渐变，带透明度
+       * 使用蓝色系配色提升视觉效果
+       */
+      const gradient = ctx.createLinearGradient(0, 0, canvas.width, 0);
+      gradient.addColorStop(0, "rgba(100, 180, 255, 0.95)");
+      gradient.addColorStop(0.5, "rgba(140, 200, 255, 0.9)");
+      gradient.addColorStop(1, "rgba(180, 220, 255, 0.95)");
+
+      ctx.fillStyle = gradient;
+      ctx.fill();
+
+      animationFrameRef.current = requestAnimationFrame(draw);
+    };
+
+    // 启动动画循环
+    draw();
+
+    // 清理函数：在组件卸载时取消动画
+    return () => {
+      if (animationFrameRef.current) {
+        cancelAnimationFrame(animationFrameRef.current);
+      }
+    };
+  }, [frequencies, isActive, updateHistory]);
+
+  return (
+    <div className={styles["voice-print"]}>
+      <canvas ref={canvasRef} />
+    </div>
+  );
+}

app/config/server.ts

@@ -1,5 +1,6 @@
 import md5 from "spark-md5";
 import { DEFAULT_MODELS, DEFAULT_GA_ID } from "../constant";
+import { isGPT4Model } from "../utils/model";
 
 declare global {
   namespace NodeJS {
@@ -22,6 +23,7 @@ declare global {
       DISABLE_FAST_LINK?: string; // disallow parse settings from url or not
       CUSTOM_MODELS?: string; // to control custom models
       DEFAULT_MODEL?: string; // to control default model in every new chat window
+      VISION_MODELS?: string; // to control vision models
 
       // stability only
       STABILITY_URL?: string;
@@ -71,8 +73,29 @@ declare global {
       IFLYTEK_API_KEY?: string;
       IFLYTEK_API_SECRET?: string;
 
+      DEEPSEEK_URL?: string;
+      DEEPSEEK_API_KEY?: string;
+
+      // xai only
+      XAI_URL?: string;
+      XAI_API_KEY?: string;
+
+      // chatglm only
+      CHATGLM_URL?: string;
+      CHATGLM_API_KEY?: string;
+
+      // siliconflow only
+      SILICONFLOW_URL?: string;
+      SILICONFLOW_API_KEY?: string;
+
+      // 302.AI only
+      AI302_URL?: string;
+      AI302_API_KEY?: string;
+
       // custom template for preprocessing user input
       DEFAULT_INPUT_TEMPLATE?: string;
+
+      ENABLE_MCP?: string; // enable mcp functionality
     }
   }
 }
@@ -116,22 +139,16 @@ export const getServerSideConfig = () => {
   const disableGPT4 = !!process.env.DISABLE_GPT4;
   let customModels = process.env.CUSTOM_MODELS ?? "";
   let defaultModel = process.env.DEFAULT_MODEL ?? "";
+  let visionModels = process.env.VISION_MODELS ?? "";
 
   if (disableGPT4) {
     if (customModels) customModels += ",";
-    customModels += DEFAULT_MODELS.filter(
-      (m) =>
-        (m.name.startsWith("gpt-4") || m.name.startsWith("chatgpt-4o")) &&
-        !m.name.startsWith("gpt-4o-mini"),
-    )
+    customModels += DEFAULT_MODELS.filter((m) => isGPT4Model(m.name))
       .map((m) => "-" + m.name)
       .join(",");
-    if (
-      (defaultModel.startsWith("gpt-4") ||
-        defaultModel.startsWith("chatgpt-4o")) &&
-      !defaultModel.startsWith("gpt-4o-mini")
-    )
+    if (defaultModel && isGPT4Model(defaultModel)) {
       defaultModel = "";
+    }
   }
 
   const isStability = !!process.env.STABILITY_API_KEY;
@@ -146,6 +163,11 @@ export const getServerSideConfig = () => {
   const isAlibaba = !!process.env.ALIBABA_API_KEY;
   const isMoonshot = !!process.env.MOONSHOT_API_KEY;
   const isIflytek = !!process.env.IFLYTEK_API_KEY;
+  const isDeepSeek = !!process.env.DEEPSEEK_API_KEY;
+  const isXAI = !!process.env.XAI_API_KEY;
+  const isChatGLM = !!process.env.CHATGLM_API_KEY;
+  const isSiliconFlow = !!process.env.SILICONFLOW_API_KEY;
+  const isAI302 = !!process.env.AI302_API_KEY;
   // const apiKeyEnvVar = process.env.OPENAI_API_KEY ?? "";
   // const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
   // const randomIndex = Math.floor(Math.random() * apiKeys.length);
@@ -154,8 +176,8 @@ export const getServerSideConfig = () => {
   //   `[Server Config] using ${randomIndex + 1} of ${apiKeys.length} api key`,
   // );
 
-  const allowedWebDevEndpoints = (
-    process.env.WHITE_WEBDEV_ENDPOINTS ?? ""
+  const allowedWebDavEndpoints = (
+    process.env.WHITE_WEBDAV_ENDPOINTS ?? ""
   ).split(",");
 
   return {
@@ -208,11 +230,31 @@ export const getServerSideConfig = () => {
     iflytekApiKey: process.env.IFLYTEK_API_KEY,
     iflytekApiSecret: process.env.IFLYTEK_API_SECRET,
 
+    isDeepSeek,
+    deepseekUrl: process.env.DEEPSEEK_URL,
+    deepseekApiKey: getApiKey(process.env.DEEPSEEK_API_KEY),
+
+    isXAI,
+    xaiUrl: process.env.XAI_URL,
+    xaiApiKey: getApiKey(process.env.XAI_API_KEY),
+
+    isChatGLM,
+    chatglmUrl: process.env.CHATGLM_URL,
+    chatglmApiKey: getApiKey(process.env.CHATGLM_API_KEY),
+
     cloudflareAccountId: process.env.CLOUDFLARE_ACCOUNT_ID,
     cloudflareKVNamespaceId: process.env.CLOUDFLARE_KV_NAMESPACE_ID,
     cloudflareKVApiKey: getApiKey(process.env.CLOUDFLARE_KV_API_KEY),
     cloudflareKVTTL: process.env.CLOUDFLARE_KV_TTL,
 
+    isSiliconFlow,
+    siliconFlowUrl: process.env.SILICONFLOW_URL,
+    siliconFlowApiKey: getApiKey(process.env.SILICONFLOW_API_KEY),
+
+    isAI302,
+    ai302Url: process.env.AI302_URL,
+    ai302ApiKey: getApiKey(process.env.AI302_API_KEY),
+
     gtmId: process.env.GTM_ID,
     gaId: process.env.GA_ID || DEFAULT_GA_ID,
 
@@ -229,6 +271,8 @@ export const getServerSideConfig = () => {
     disableFastLink: !!process.env.DISABLE_FAST_LINK,
     customModels,
     defaultModel,
-    allowedWebDevEndpoints,
+    visionModels,
+    allowedWebDavEndpoints,
+    enableMcp: process.env.ENABLE_MCP === "true",
   };
 };

app/constant.ts

@@ -11,7 +11,6 @@ export const RUNTIME_CONFIG_DOM = "danger-runtime-config";
 
 export const STABILITY_BASE_URL = "https://api.stability.ai";
 
-export const DEFAULT_API_HOST = "https://api.nextchat.dev";
 export const OPENAI_BASE_URL = "https://api.openai.com";
 export const ANTHROPIC_BASE_URL = "https://api.anthropic.com";
 
@@ -26,9 +25,19 @@ export const ALIBABA_BASE_URL = "https://dashscope.aliyuncs.com/api/";
 
 export const TENCENT_BASE_URL = "https://hunyuan.tencentcloudapi.com";
 
-export const MOONSHOT_BASE_URL = "https://api.moonshot.cn";
+export const MOONSHOT_BASE_URL = "https://api.moonshot.ai";
 export const IFLYTEK_BASE_URL = "https://spark-api-open.xf-yun.com";
 
+export const DEEPSEEK_BASE_URL = "https://api.deepseek.com";
+
+export const XAI_BASE_URL = "https://api.x.ai";
+
+export const CHATGLM_BASE_URL = "https://open.bigmodel.cn";
+
+export const SILICONFLOW_BASE_URL = "https://api.siliconflow.cn";
+
+export const AI302_BASE_URL = "https://api.302.ai";
+
 export const CACHE_URL_PREFIX = "/api/cache";
 export const UPLOAD_URL = `${CACHE_URL_PREFIX}/upload`;
 
@@ -44,6 +53,7 @@ export enum Path {
   SdNew = "/sd-new",
   Artifacts = "/artifacts",
   SearchChat = "/search-chat",
+  McpMarket = "/mcp-market",
 }
 
 export enum ApiPath {
@@ -60,6 +70,11 @@ export enum ApiPath {
   Iflytek = "/api/iflytek",
   Stability = "/api/stability",
   Artifacts = "/api/artifacts",
+  XAI = "/api/xai",
+  ChatGLM = "/api/chatglm",
+  DeepSeek = "/api/deepseek",
+  SiliconFlow = "/api/siliconflow",
+  "302.AI" = "/api/302ai",
 }
 
 export enum SlotID {
@@ -82,6 +97,7 @@ export enum StoreKey {
   Update = "chat-update",
   Sync = "sync",
   SdList = "sd-list",
+  Mcp = "mcp-store",
 }
 
 export const DEFAULT_SIDEBAR_WIDTH = 300;
@@ -97,6 +113,7 @@ export const UNFINISHED_INPUT = (id: string) => "unfinished-input-" + id;
 export const STORAGE_KEY = "chatgpt-next-web";
 
 export const REQUEST_TIMEOUT_MS = 60000;
+export const REQUEST_TIMEOUT_MS_FOR_THINKING = REQUEST_TIMEOUT_MS * 5;
 
 export const EXPORT_MESSAGE_CLASS_NAME = "export-markdown";
 
@@ -112,6 +129,11 @@ export enum ServiceProvider {
   Moonshot = "Moonshot",
   Stability = "Stability",
   Iflytek = "Iflytek",
+  XAI = "XAI",
+  ChatGLM = "ChatGLM",
+  DeepSeek = "DeepSeek",
+  SiliconFlow = "SiliconFlow",
+  "302.AI" = "302.AI",
 }
 
 // Google API safety settings, see https://ai.google.dev/gemini-api/docs/safety-settings
@@ -134,6 +156,11 @@ export enum ModelProvider {
   Hunyuan = "Hunyuan",
   Moonshot = "Moonshot",
   Iflytek = "Iflytek",
+  XAI = "XAI",
+  ChatGLM = "ChatGLM",
+  DeepSeek = "DeepSeek",
+  SiliconFlow = "SiliconFlow",
+  "302.AI" = "302.AI",
 }
 
 export const Stability = {
@@ -199,7 +226,12 @@ export const ByteDance = {
 
 export const Alibaba = {
   ExampleEndpoint: ALIBABA_BASE_URL,
-  ChatPath: "v1/services/aigc/text-generation/generation",
+  ChatPath: (modelName: string) => {
+    if (modelName.includes("vl") || modelName.includes("omni")) {
+      return "v1/services/aigc/multimodal-generation/generation";
+    }
+    return `v1/services/aigc/text-generation/generation`;
+  },
 };
 
 export const Tencent = {
@@ -216,6 +248,36 @@ export const Iflytek = {
   ChatPath: "v1/chat/completions",
 };
 
+export const DeepSeek = {
+  ExampleEndpoint: DEEPSEEK_BASE_URL,
+  ChatPath: "chat/completions",
+};
+
+export const XAI = {
+  ExampleEndpoint: XAI_BASE_URL,
+  ChatPath: "v1/chat/completions",
+};
+
+export const ChatGLM = {
+  ExampleEndpoint: CHATGLM_BASE_URL,
+  ChatPath: "api/paas/v4/chat/completions",
+  ImagePath: "api/paas/v4/images/generations",
+  VideoPath: "api/paas/v4/videos/generations",
+};
+
+export const SiliconFlow = {
+  ExampleEndpoint: SILICONFLOW_BASE_URL,
+  ChatPath: "v1/chat/completions",
+  ListModelPath: "v1/models?&sub_type=chat",
+};
+
+export const AI302 = {
+  ExampleEndpoint: AI302_BASE_URL,
+  ChatPath: "v1/chat/completions",
+  EmbeddingsPath: "jina/v1/embeddings",
+  ListModelPath: "v1/models?llm=1",
+};
+
 export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
 // export const DEFAULT_SYSTEM_TEMPLATE = `
 // You are ChatGPT, a large language model trained by {{ServiceProvider}}.
@@ -234,27 +296,169 @@ Latex inline: \\(x^2\\)
 Latex block: $$e=mc^2$$
 `;
 
+export const MCP_TOOLS_TEMPLATE = `
+[clientId]
+{{ clientId }}
+[tools]
+{{ tools }}
+`;
+
+export const MCP_SYSTEM_TEMPLATE = `
+You are an AI assistant with access to system tools. Your role is to help users by combining natural language understanding with tool operations when needed.
+
+1. AVAILABLE TOOLS:
+{{ MCP_TOOLS }}
+
+2. WHEN TO USE TOOLS:
+   - ALWAYS USE TOOLS when they can help answer user questions
+   - DO NOT just describe what you could do - TAKE ACTION immediately
+   - If you're not sure whether to use a tool, USE IT
+   - Common triggers for tool use:
+     * Questions about files or directories
+     * Requests to check, list, or manipulate system resources
+     * Any query that can be answered with available tools
+
+3. HOW TO USE TOOLS:
+   A. Tool Call Format:
+      - Use markdown code blocks with format: \`\`\`json:mcp:{clientId}\`\`\`
+      - Always include:
+        * method: "tools/call"（Only this method is supported）
+        * params: 
+          - name: must match an available primitive name
+          - arguments: required parameters for the primitive
+
+   B. Response Format:
+      - Tool responses will come as user messages
+      - Format: \`\`\`json:mcp-response:{clientId}\`\`\`
+      - Wait for response before making another tool call
+
+   C. Important Rules:
+      - Only use tools/call method
+      - Only ONE tool call per message
+      - ALWAYS TAKE ACTION instead of just describing what you could do
+      - Include the correct clientId in code block language tag
+      - Verify arguments match the primitive's requirements
+
+4. INTERACTION FLOW:
+   A. When user makes a request:
+      - IMMEDIATELY use appropriate tool if available
+      - DO NOT ask if user wants you to use the tool
+      - DO NOT just describe what you could do
+   B. After receiving tool response:
+      - Explain results clearly
+      - Take next appropriate action if needed
+   C. If tools fail:
+      - Explain the error
+      - Try alternative approach immediately
+
+5. EXAMPLE INTERACTION:
+
+  good example:
+
+   \`\`\`json:mcp:filesystem
+   {
+     "method": "tools/call",
+     "params": {
+       "name": "list_allowed_directories",
+       "arguments": {}
+     }
+   }
+   \`\`\`"
+
+
+  \`\`\`json:mcp-response:filesystem
+  {
+  "method": "tools/call",
+  "params": {
+    "name": "write_file",
+    "arguments": {
+      "path": "/Users/river/dev/nextchat/test/joke.txt",
+      "content": "为什么数学书总是感到忧伤？因为它有太多的问题。"
+    }
+  }
+  }
+\`\`\`
+
+   follwing is the wrong! mcp json example:
+
+   \`\`\`json:mcp:filesystem
+   {
+      "method": "write_file",
+      "params": {
+        "path": "NextChat_Information.txt",
+        "content": "1"
+    }
+   }
+   \`\`\`
+
+   This is wrong because the method is not tools/call.
+   
+   \`\`\`{
+  "method": "search_repositories",
+  "params": {
+    "query": "2oeee"
+  }
+}
+   \`\`\`
+
+   This is wrong because the method is not tools/call.!!!!!!!!!!!
+
+   the right format is:
+   \`\`\`json:mcp:filesystem
+   {
+     "method": "tools/call",
+     "params": {
+       "name": "search_repositories",
+       "arguments": {
+         "query": "2oeee"
+       }
+     }
+   }
+   \`\`\`
+   
+   please follow the format strictly ONLY use tools/call method!!!!!!!!!!!
+   
+`;
+
 export const SUMMARIZE_MODEL = "gpt-4o-mini";
 export const GEMINI_SUMMARIZE_MODEL = "gemini-pro";
+export const DEEPSEEK_SUMMARIZE_MODEL = "deepseek-chat";
 
 export const KnowledgeCutOffDate: Record<string, string> = {
   default: "2021-09",
   "gpt-4-turbo": "2023-12",
   "gpt-4-turbo-2024-04-09": "2023-12",
   "gpt-4-turbo-preview": "2023-12",
+  "gpt-4.1": "2024-06",
+  "gpt-4.1-2025-04-14": "2024-06",
+  "gpt-4.1-mini": "2024-06",
+  "gpt-4.1-mini-2025-04-14": "2024-06",
+  "gpt-4.1-nano": "2024-06",
+  "gpt-4.1-nano-2025-04-14": "2024-06",
+  "gpt-4.5-preview": "2023-10",
+  "gpt-4.5-preview-2025-02-27": "2023-10",
   "gpt-4o": "2023-10",
   "gpt-4o-2024-05-13": "2023-10",
   "gpt-4o-2024-08-06": "2023-10",
+  "gpt-4o-2024-11-20": "2023-10",
   "chatgpt-4o-latest": "2023-10",
   "gpt-4o-mini": "2023-10",
   "gpt-4o-mini-2024-07-18": "2023-10",
   "gpt-4-vision-preview": "2023-04",
+  "o1-mini-2024-09-12": "2023-10",
   "o1-mini": "2023-10",
+  "o1-preview-2024-09-12": "2023-10",
   "o1-preview": "2023-10",
+  "o1-2024-12-17": "2023-10",
+  o1: "2023-10",
+  "o3-mini-2025-01-31": "2023-10",
+  "o3-mini": "2023-10",
   // After improvements,
   // it's now easier to add "KnowledgeCutOffDate" instead of stupid hardcoding it, as was done previously.
   "gemini-pro": "2023-12",
   "gemini-pro-vision": "2023-12",
+  "deepseek-chat": "2024-07",
+  "deepseek-coder": "2024-07",
 };
 
 export const DEFAULT_TTS_ENGINE = "OpenAI-TTS";
@@ -271,7 +475,32 @@ export const DEFAULT_TTS_VOICES = [
   "shimmer",
 ];
 
+export const VISION_MODEL_REGEXES = [
+  /vision/,
+  /gpt-4o/,
+  /gpt-4\.1/,
+  /claude.*[34]/,
+  /gemini-1\.5/,
+  /gemini-exp/,
+  /gemini-2\.[05]/,
+  /learnlm/,
+  /qwen-vl/,
+  /qwen2-vl/,
+  /gpt-4-turbo(?!.*preview)/,
+  /^dall-e-3$/,
+  /glm-4v/,
+  /vl/i,
+  /o3/,
+  /o4-mini/,
+  /grok-4/i,
+  /gpt-5/
+];
+
+export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
+
 const openaiModels = [
+  // As of July 2024, gpt-4o-mini should be used in place of gpt-3.5-turbo,
+  // as it is cheaper, more capable, multimodal, and just as fast. gpt-3.5-turbo is still available for use in the API.
   "gpt-3.5-turbo",
   "gpt-3.5-turbo-1106",
   "gpt-3.5-turbo-0125",
@@ -281,9 +510,23 @@ const openaiModels = [
   "gpt-4-32k-0613",
   "gpt-4-turbo",
   "gpt-4-turbo-preview",
+  "gpt-4.1",
+  "gpt-4.1-2025-04-14",
+  "gpt-4.1-mini",
+  "gpt-4.1-mini-2025-04-14",
+  "gpt-4.1-nano",
+  "gpt-4.1-nano-2025-04-14",
+  "gpt-4.5-preview",
+  "gpt-4.5-preview-2025-02-27",
+  "gpt-5-chat",
+  "gpt-5-mini",
+  "gpt-5-nano",
+  "gpt-5",
+  "gpt-5-chat-2025-01-01-preview",
   "gpt-4o",
   "gpt-4o-2024-05-13",
   "gpt-4o-2024-08-06",
+  "gpt-4o-2024-11-20",
   "chatgpt-4o-latest",
   "gpt-4o-mini",
   "gpt-4o-mini-2024-07-18",
@@ -293,13 +536,32 @@ const openaiModels = [
   "dall-e-3",
   "o1-mini",
   "o1-preview",
+  "o3-mini",
+  "o3",
+  "o4-mini",
 ];
 
 const googleModels = [
-  "gemini-1.0-pro",
   "gemini-1.5-pro-latest",
+  "gemini-1.5-pro",
+  "gemini-1.5-pro-002",
   "gemini-1.5-flash-latest",
-  "gemini-pro-vision",
+  "gemini-1.5-flash-8b-latest",
+  "gemini-1.5-flash",
+  "gemini-1.5-flash-8b",
+  "gemini-1.5-flash-002",
+  "learnlm-1.5-pro-experimental",
+  "gemini-exp-1206",
+  "gemini-2.0-flash",
+  "gemini-2.0-flash-exp",
+  "gemini-2.0-flash-lite-preview-02-05",
+  "gemini-2.0-flash-thinking-exp",
+  "gemini-2.0-flash-thinking-exp-1219",
+  "gemini-2.0-flash-thinking-exp-01-21",
+  "gemini-2.0-pro-exp",
+  "gemini-2.0-pro-exp-02-05",
+  "gemini-2.5-pro-preview-06-05",
+  "gemini-2.5-pro"
 ];
 
 const anthropicModels = [
@@ -308,8 +570,17 @@ const anthropicModels = [
   "claude-2.1",
   "claude-3-sonnet-20240229",
   "claude-3-opus-20240229",
+  "claude-3-opus-latest",
   "claude-3-haiku-20240307",
+  "claude-3-5-haiku-20241022",
+  "claude-3-5-haiku-latest",
   "claude-3-5-sonnet-20240620",
+  "claude-3-5-sonnet-20241022",
+  "claude-3-5-sonnet-latest",
+  "claude-3-7-sonnet-20250219",
+  "claude-3-7-sonnet-latest",
+  "claude-sonnet-4-20250514",
+  "claude-opus-4-20250514",
 ];
 
 const baiduModels = [
@@ -343,6 +614,9 @@ const alibabaModes = [
   "qwen-max-0403",
   "qwen-max-0107",
   "qwen-max-longcontext",
+  "qwen-omni-turbo",
+  "qwen-vl-plus",
+  "qwen-vl-max",
 ];
 
 const tencentModels = [
@@ -355,7 +629,18 @@ const tencentModels = [
   "hunyuan-vision",
 ];
 
-const moonshotModes = ["moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"];
+const moonshotModels = [
+  "moonshot-v1-auto",
+  "moonshot-v1-8k",
+  "moonshot-v1-32k",
+  "moonshot-v1-128k",
+  "moonshot-v1-8k-vision-preview",
+  "moonshot-v1-32k-vision-preview",
+  "moonshot-v1-128k-vision-preview",
+  "kimi-thinking-preview",
+  "kimi-k2-0711-preview",
+  "kimi-latest",
+];
 
 const iflytekModels = [
   "general",
@@ -365,6 +650,93 @@ const iflytekModels = [
   "4.0Ultra",
 ];
 
+const deepseekModels = ["deepseek-chat", "deepseek-coder", "deepseek-reasoner"];
+
+const xAIModes = [
+  "grok-beta",
+  "grok-2",
+  "grok-2-1212",
+  "grok-2-latest",
+  "grok-vision-beta",
+  "grok-2-vision-1212",
+  "grok-2-vision",
+  "grok-2-vision-latest",
+  "grok-3-mini-fast-beta",
+  "grok-3-mini-fast",
+  "grok-3-mini-fast-latest",
+  "grok-3-mini-beta",
+  "grok-3-mini",
+  "grok-3-mini-latest",
+  "grok-3-fast-beta",
+  "grok-3-fast",
+  "grok-3-fast-latest",
+  "grok-3-beta",
+  "grok-3",
+  "grok-3-latest",
+];
+
+const chatglmModels = [
+  "glm-4-plus",
+  "glm-4-0520",
+  "glm-4",
+  "glm-4-air",
+  "glm-4-airx",
+  "glm-4-long",
+  "glm-4-flashx",
+  "glm-4-flash",
+  "glm-4v-plus",
+  "glm-4v",
+  "glm-4v-flash", // free
+  "cogview-3-plus",
+  "cogview-3",
+  "cogview-3-flash", // free
+  // 目前无法适配轮询任务
+  //   "cogvideox",
+  //   "cogvideox-flash", // free
+];
+
+const siliconflowModels = [
+  "Qwen/Qwen2.5-7B-Instruct",
+  "Qwen/Qwen2.5-72B-Instruct",
+  "deepseek-ai/DeepSeek-R1",
+  "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
+  "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
+  "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
+  "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
+  "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
+  "deepseek-ai/DeepSeek-V3",
+  "meta-llama/Llama-3.3-70B-Instruct",
+  "THUDM/glm-4-9b-chat",
+  "Pro/deepseek-ai/DeepSeek-R1",
+  "Pro/deepseek-ai/DeepSeek-V3",
+];
+
+const ai302Models = [
+  "deepseek-chat",
+  "gpt-4o",
+  "chatgpt-4o-latest",
+  "llama3.3-70b",
+  "deepseek-reasoner",
+  "gemini-2.0-flash",
+  "claude-3-7-sonnet-20250219",
+  "claude-3-7-sonnet-latest",
+  "grok-3-beta",
+  "grok-3-mini-beta",
+  "gpt-4.1",
+  "gpt-4.1-mini",
+  "o3",
+  "o4-mini",
+  "qwen3-235b-a22b",
+  "qwen3-32b",
+  "gemini-2.5-pro-preview-05-06",
+  "llama-4-maverick",
+  "gemini-2.5-flash",
+  "claude-sonnet-4-20250514",
+  "claude-opus-4-20250514",
+  "gemini-2.5-pro",
+];
+
 let seq = 1000; // 内置的模型序号生成器从1000开始
 export const DEFAULT_MODELS = [
   ...openaiModels.map((name) => ({
@@ -455,7 +827,7 @@ export const DEFAULT_MODELS = [
       sorted: 8,
     },
   })),
-  ...moonshotModes.map((name) => ({
+  ...moonshotModels.map((name) => ({
     name,
     available: true,
     sorted: seq++,
@@ -477,6 +849,61 @@ export const DEFAULT_MODELS = [
       sorted: 10,
     },
   })),
+  ...xAIModes.map((name) => ({
+    name,
+    available: true,
+    sorted: seq++,
+    provider: {
+      id: "xai",
+      providerName: "XAI",
+      providerType: "xai",
+      sorted: 11,
+    },
+  })),
+  ...chatglmModels.map((name) => ({
+    name,
+    available: true,
+    sorted: seq++,
+    provider: {
+      id: "chatglm",
+      providerName: "ChatGLM",
+      providerType: "chatglm",
+      sorted: 12,
+    },
+  })),
+  ...deepseekModels.map((name) => ({
+    name,
+    available: true,
+    sorted: seq++,
+    provider: {
+      id: "deepseek",
+      providerName: "DeepSeek",
+      providerType: "deepseek",
+      sorted: 13,
+    },
+  })),
+  ...siliconflowModels.map((name) => ({
+    name,
+    available: true,
+    sorted: seq++,
+    provider: {
+      id: "siliconflow",
+      providerName: "SiliconFlow",
+      providerType: "siliconflow",
+      sorted: 14,
+    },
+  })),
+  ...ai302Models.map((name) => ({
+    name,
+    available: true,
+    sorted: seq++,
+    provider: {
+      id: "ai302",
+      providerName: "302.AI",
+      providerType: "ai302",
+      sorted: 15,
+    },
+  })),
 ] as const;
 
 export const CHAT_PAGE_SIZE = 15;
@@ -496,10 +923,6 @@ export const internalAllowedWebDavEndpoints = [
 ];
 
 export const DEFAULT_GA_ID = "G-89WN60ZK2E";
-export const PLUGINS = [
-  { name: "Plugins", path: Path.Plugins },
-  { name: "Stable Diffusion", path: Path.Sd },
-  { name: "Search Chat", path: Path.SearchChat },
-];
 
-export const SAAS_CHAT_URL = "https://nextchat.dev/chat";
+export const SAAS_CHAT_URL = "https://nextchat.club";
+export const SAAS_CHAT_UTM_URL = "https://nextchat.club?utm=github";

app/global.d.ts

@@ -26,6 +26,13 @@ declare interface Window {
       isPermissionGranted(): Promise<boolean>;
       sendNotification(options: string | Options): void;
     };
+    updater: {
+      checkUpdate(): Promise<UpdateResult>;
+      installUpdate(): Promise<void>;
+      onUpdaterEvent(
+        handler: (status: UpdateStatusResult) => void,
+      ): Promise<UnlistenFn>;
+    };
     http: {
       fetch<T>(
         url: string,

app/icons/headphone.svg

@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16" height="16" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
+    <path d="M4 28C4 26.8954 4.89543 26 6 26H10V38H6C4.89543 38 4 37.1046 4 36V28Z" fill="none" />
+    <path d="M38 26H42C43.1046 26 44 26.8954 44 28V36C44 37.1046 43.1046 38 42 38H38V26Z"
+        fill="none" />
+    <path
+        d="M10 36V24C10 16.268 16.268 10 24 10C31.732 10 38 16.268 38 24V36M10 26H6C4.89543 26 4 26.8954 4 28V36C4 37.1046 4.89543 38 6 38H10V26ZM38 26H42C43.1046 26 44 26.8954 44 28V36C44 37.1046 43.1046 38 42 38H38V26Z"
+        stroke="#333" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
+    <path d="M16 32H20L22 26L26 38L28 32H32" stroke="#333" stroke-width="4" stroke-linecap="round"
+        stroke-linejoin="round" />
+</svg>

app/icons/llm-icons/chatglm.svg

@@ -0,0 +1,14 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>ChatGLM</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <defs>
+            <linearGradient id="lobe-icons-chatglm-fill" x1="-18.756%" x2="70.894%" y1="49.371%" y2="90.944%">
+                <stop offset="0%" stop-color="#504AF4"></stop>
+                <stop offset="100%" stop-color="#3485FF"></stop>
+            </linearGradient>
+        </defs>
+        <path d="M9.917 2c4.906 0 10.178 3.947 8.93 10.58-.014.07-.037.14-.057.21l-.003-.277c-.083-3-1.534-8.934-8.87-8.934-3.393 0-8.137 3.054-7.93 8.158-.04 4.778 3.555 8.4 7.95 8.332l.073-.001c1.2-.033 2.763-.429 3.1-1.657.063-.031.26.534.268.598.048.256.112.369.192.34.981-.348 2.286-1.222 1.952-2.38-.176-.61-1.775-.147-1.921-.347.418-.979 2.234-.926 3.153-.716.443.102.657.38 1.012.442.29.052.981-.2.96.242-1.5 3.042-4.893 5.41-8.808 5.41C3.654 22 0 16.574 0 11.737 0 5.947 4.959 2 9.917 2zM9.9 5.3c.484 0 1.125.225 1.38.585 3.669.145 4.313 2.686 4.694 5.444.255 1.838.315 2.3.182 1.387l.083.59c.068.448.554.737.982.516.144-.075.254-.231.328-.47a.2.2 0 01.258-.13l.625.22a.2.2 0 01.124.238 2.172 2.172 0 01-.51.92c-.878.917-2.757.664-3.08-.62-.14-.554-.055-.626-.345-1.242-.292-.621-1.238-.709-1.69-.295-.345.315-.407.805-.406 1.282L12.6 15.9a.9.9 0 01-.9.9h-1.4a.9.9 0 01-.9-.9v-.65a1.15 1.15 0 10-2.3 0v.65a.9.9 0 01-.9.9H4.8a.9.9 0 01-.9-.9l.035-3.239c.012-1.884.356-3.658 2.47-4.134.2-.045.252.13.29.342.025.154.043.252.053.294.701 3.058 1.75 4.299 3.144 3.722l.66-.331.254-.13c.158-.082.25-.131.276-.15.012-.01-.165-.206-.407-.464l-1.012-1.067a8.925 8.925 0 01-.199-.216c-.047-.034-.116.068-.208.306-.074.157-.251.252-.272.326-.013.058.108.298.362.72.164.288.22.508-.31.343-1.04-.8-1.518-2.273-1.684-3.725-.004-.035-.162-1.913-.162-1.913a1.2 1.2 0 011.113-1.281L9.9 5.3zm12.994 8.68c.037.697-.403.704-1.213.591l-1.783-.276c-.265-.053-.385-.099-.313-.147.47-.315 3.268-.93 3.31-.168zm-.915-.083l-.926.042c-.85.077-1.452.24.338.336l.103.003c.815.012 1.264-.359.485-.381zm1.667-3.601h.01c.79.398.067 1.03-.65 1.393-.14.07-.491.176-1.052.315-.241.04-.457.092-.333.16l.01.005c1.952.958-3.123 1.534-2.495 1.285l.38-.148c.68-.266 1.614-.682 1.666-1.337.038-.48 1.253-.442 1.493-.968.048-.106 0-.236-.144-.389-.05-.047-.094-.094-.107-.148-.073-.305.7-.431 1.222-.168zm-2.568-.474c-.135 1.198-2.479 4.192-1.949 2.863l.017-.042c.298-.717.376-2.221 1.337-3.221.25-.26.636.035.595.4zm-7.976-.253c.02-.694 1.002-.968 1.346-.347.01-1.274-1.941-.768-1.346.347z"
+              fill="url(#lobe-icons-chatglm-fill)" fill-rule="evenodd"></path>
+    </g>
+</svg>

app/icons/llm-icons/claude.svg

@@ -0,0 +1,8 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Claude</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <path d="M4.709 15.955l4.72-2.647.08-.23-.08-.128H9.2l-.79-.048-2.698-.073-2.339-.097-2.266-.122-.571-.121L0 11.784l.055-.352.48-.321.686.06 1.52.103 2.278.158 1.652.097 2.449.255h.389l.055-.157-.134-.098-.103-.097-2.358-1.596-2.552-1.688-1.336-.972-.724-.491-.364-.462-.158-1.008.656-.722.881.06.225.061.893.686 1.908 1.476 2.491 1.833.365.304.145-.103.019-.073-.164-.274-1.355-2.446-1.446-2.49-.644-1.032-.17-.619a2.97 2.97 0 01-.104-.729L6.283.134 6.696 0l.996.134.42.364.62 1.414 1.002 2.229 1.555 3.03.456.898.243.832.091.255h.158V9.01l.128-1.706.237-2.095.23-2.695.08-.76.376-.91.747-.492.584.28.48.685-.067.444-.286 1.851-.559 2.903-.364 1.942h.212l.243-.242.985-1.306 1.652-2.064.73-.82.85-.904.547-.431h1.033l.76 1.129-.34 1.166-1.064 1.347-.881 1.142-1.264 1.7-.79 1.36.073.11.188-.02 2.856-.606 1.543-.28 1.841-.315.833.388.091.395-.328.807-1.969.486-2.309.462-3.439.813-.042.03.049.061 1.549.146.662.036h1.622l3.02.225.79.522.474.638-.079.485-1.215.62-1.64-.389-3.829-.91-1.312-.329h-.182v.11l1.093 1.068 2.006 1.81 2.509 2.33.127.578-.322.455-.34-.049-2.205-1.657-.851-.747-1.926-1.62h-.128v.17l.444.649 2.345 3.521.122 1.08-.17.353-.608.213-.668-.122-1.374-1.925-1.415-2.167-1.143-1.943-.14.08-.674 7.254-.316.37-.729.28-.607-.461-.322-.747.322-1.476.389-1.924.315-1.53.286-1.9.17-.632-.012-.042-.14.018-1.434 1.967-2.18 2.945-1.726 1.845-.414.164-.717-.37.067-.662.401-.589 2.388-3.036 1.44-1.882.93-1.086-.006-.158h-.055L4.132 18.56l-1.13.146-.487-.456.061-.746.231-.243 1.908-1.312-.006.006z"
+              fill="#D97757" fill-rule="nonzero"></path>
+    </g>
+</svg>

app/icons/llm-icons/deepseek.svg

@@ -0,0 +1,8 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>DeepSeek</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(4, 4)">
+        <path d="M23.748 4.482c-.254-.124-.364.113-.512.234-.051.039-.094.09-.137.136-.372.397-.806.657-1.373.626-.829-.046-1.537.214-2.163.848-.133-.782-.575-1.248-1.247-1.548-.352-.156-.708-.311-.955-.65-.172-.241-.219-.51-.305-.774-.055-.16-.11-.323-.293-.35-.2-.031-.278.136-.356.276-.313.572-.434 1.202-.422 1.84.027 1.436.633 2.58 1.838 3.393.137.093.172.187.129.323-.082.28-.18.552-.266.833-.055.179-.137.217-.329.14a5.526 5.526 0 01-1.736-1.18c-.857-.828-1.631-1.742-2.597-2.458a11.365 11.365 0 00-.689-.471c-.985-.957.13-1.743.388-1.836.27-.098.093-.432-.779-.428-.872.004-1.67.295-2.687.684a3.055 3.055 0 01-.465.137 9.597 9.597 0 00-2.883-.102c-1.885.21-3.39 1.102-4.497 2.623C.082 8.606-.231 10.684.152 12.85c.403 2.284 1.569 4.175 3.36 5.653 1.858 1.533 3.997 2.284 6.438 2.14 1.482-.085 3.133-.284 4.994-1.86.47.234.962.327 1.78.397.63.059 1.236-.03 1.705-.128.735-.156.684-.837.419-.961-2.155-1.004-1.682-.595-2.113-.926 1.096-1.296 2.746-2.642 3.392-7.003.05-.347.007-.565 0-.845-.004-.17.035-.237.23-.256a4.173 4.173 0 001.545-.475c1.396-.763 1.96-2.015 2.093-3.517.02-.23-.004-.467-.247-.588zM11.581 18c-2.089-1.642-3.102-2.183-3.52-2.16-.392.024-.321.471-.235.763.09.288.207.486.371.739.114.167.192.416-.113.603-.673.416-1.842-.14-1.897-.167-1.361-.802-2.5-1.86-3.301-3.307-.774-1.393-1.224-2.887-1.298-4.482-.02-.386.093-.522.477-.592a4.696 4.696 0 011.529-.039c2.132.312 3.946 1.265 5.468 2.774.868.86 1.525 1.887 2.202 2.891.72 1.066 1.494 2.082 2.48 2.914.348.292.625.514.891.677-.802.09-2.14.11-3.054-.614zm1-6.44a.306.306 0 01.415-.287.302.302 0 01.2.288.306.306 0 01-.31.307.303.303 0 01-.304-.308zm3.11 1.596c-.2.081-.399.151-.59.16a1.245 1.245 0 01-.798-.254c-.274-.23-.47-.358-.552-.758a1.73 1.73 0 01.016-.588c.07-.327-.008-.537-.239-.727-.187-.156-.426-.199-.688-.199a.559.559 0 01-.254-.078c-.11-.054-.2-.19-.114-.358.028-.054.16-.186.192-.21.356-.202.767-.136 1.146.016.352.144.618.408 1.001.782.391.451.462.576.685.914.176.265.336.537.445.848.067.195-.019.354-.25.452z"
+              fill="#4D6BFE"></path>
+    </g>
+</svg>

app/icons/llm-icons/default.svg

@@ -0,0 +1,27 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="30" height="30" fill="none"
+     viewBox="0 0 30 30">
+    <defs>
+        <rect id="path_0" width="30" height="30" x="0" y="0"/>
+        <rect id="path_1" width="20.455" height="20.455" x="0" y="0"/>
+    </defs>
+    <g opacity="1" transform="translate(0 0) rotate(0 14.999999999999998 14.999999999999998)">
+        <rect width="30" height="30" x="0" y="0" fill="#E7F8FF" opacity="1" rx="10"
+              transform="translate(0 0) rotate(0 14.999999999999998 14.999999999999998)"/>
+        <mask id="bg-mask-0" fill="#fff">
+            <use xlink:href="#path_0"/>
+        </mask>
+        <g mask="url(#bg-mask-0)">
+            <g opacity="1"
+               transform="translate(4.772727272727272 4.772727272727273) rotate(0 10.227272727272725 10.227272727272725)">
+                <mask id="bg-mask-1" fill="#fff">
+                    <use xlink:href="#path_1"/>
+                </mask>
+                <g mask="url(#bg-mask-1)">
+                    <path id="分组 1" fill-rule="evenodd" style="fill:#1f948c"
+                          d="M19.11 8.37L19.11 8.37C19.28 7.85 19.37 7.31 19.37 6.76C19.37 5.86 19.13 4.97 18.66 4.19C17.73 2.59 16 1.6 14.13 1.6C13.76 1.6 13.4 1.64 13.04 1.71C12.06 0.62 10.65 0 9.17 0L9.14 0L9.13 0C6.86 0 4.86 1.44 4.16 3.57C2.7 3.86 1.44 4.76 0.71 6.04C0.24 6.83 0 7.72 0 8.63C0 9.9 0.48 11.14 1.35 12.08C1.17 12.6 1.08 13.15 1.08 13.69C1.08 14.6 1.33 15.49 1.79 16.27C2.92 18.21 5.2 19.21 7.42 18.74C8.4 19.83 9.8 20.45 11.28 20.45L11.31 20.45L11.33 20.45C13.59 20.45 15.6 19.01 16.3 16.88C17.76 16.59 19.01 15.69 19.75 14.41C20.21 13.63 20.45 12.74 20.45 11.83C20.45 10.55 19.97 9.32 19.11 8.37Z M8.94734 18.1579C8.90734 18.1879 8.86734 18.2079 8.82734 18.2279C9.52734 18.8079 10.3973 19.1179 11.3073 19.1179L11.3173 19.1179C13.4573 19.1179 15.1973 17.3979 15.1973 15.2879L15.1973 10.5279C15.1973 10.5079 15.1773 10.4879 15.1573 10.4779L13.4173 9.48792L13.4173 15.2379C13.4173 15.4679 13.2873 15.6879 13.0773 15.8079L8.94734 18.1579Z M8.27654 17.0048L12.4465 14.6248C12.4665 14.6148 12.4765 14.5948 12.4765 14.5748L12.4765 14.5748L12.4765 12.5848L7.43654 15.4548C7.22654 15.5748 6.96654 15.5748 6.75654 15.4548L2.62654 13.1048C2.58654 13.0848 2.53654 13.0448 2.50654 13.0348C2.46654 13.2448 2.44654 13.4648 2.44654 13.6848C2.44654 14.3548 2.62654 15.0148 2.96654 15.6048L2.96654 15.5948C3.66654 16.7848 4.94654 17.5148 6.33654 17.5148C7.01654 17.5148 7.68654 17.3348 8.27654 17.0048Z M3.90324 5.16818C3.90324 5.12818 3.90324 5.06818 3.90324 5.02818C3.05324 5.33818 2.33324 5.92818 1.88324 6.70818L1.88324 6.70818C1.54324 7.28818 1.36324 7.94818 1.36324 8.61818C1.36324 9.98818 2.10324 11.2582 3.30324 11.9482L7.47324 14.3182C7.49324 14.3282 7.51324 14.3282 7.53324 14.3182L9.28324 13.3182L4.24324 10.4482C4.03324 10.3382 3.90324 10.1182 3.90324 9.87818L3.90324 9.87818L3.90324 5.16818Z M17.1561 8.50521L12.9761 6.1252C12.9561 6.1252 12.9361 6.1252 12.9161 6.1352L11.1761 7.1252L16.2161 9.9952C16.4261 10.1152 16.5561 10.3352 16.5561 10.5752C16.5561 10.5752 16.5561 10.5752 16.5561 10.5752L16.5561 15.4252C18.0761 14.8652 19.0961 13.4352 19.0961 11.8252C19.0961 10.4552 18.3561 9.1952 17.1561 8.50521Z M8.01418 5.82927C7.99418 5.83927 7.98418 5.85927 7.98418 5.87927L7.98418 5.87927L7.98418 7.86927L13.0242 4.99927C13.1242 4.93927 13.2442 4.90927 13.3642 4.90927C13.4842 4.90927 13.5942 4.93927 13.7042 4.99927L17.8342 7.34927C17.8742 7.36927 17.9142 7.39927 17.9542 7.41927L17.9542 7.41927C17.9842 7.20927 18.0042 6.98927 18.0042 6.76927C18.0042 4.65927 16.2642 2.93927 14.1242 2.93927C13.4442 2.93927 12.7742 3.11927 12.1842 3.44927L8.01418 5.82927Z M9.14676 1.33731C6.99676 1.33731 5.25676 3.05731 5.25676 5.16731L5.25676 9.92731C5.25676 9.94731 5.27676 9.95731 5.28676 9.96731L7.03676 10.9673L7.03676 5.22731L7.03676 5.21731C7.03676 4.98731 7.16676 4.76731 7.37676 4.64731L11.5068 2.29731C11.5468 2.26731 11.5968 2.23731 11.6268 2.22731C10.9268 1.64731 10.0468 1.33731 9.14676 1.33731Z M7.98345 11.5093L10.2235 12.7793L12.4735 11.5093L12.4735 8.9493L10.2235 7.6693L7.98345 8.9493L7.98345 11.5093Z"
+                          opacity="1" transform="translate(0 0) rotate(0 10.227272727272725 10.227272727272725)"/>
+                </g>
+            </g>
+        </g>
+    </g>
+</svg>

app/icons/llm-icons/doubao.svg

@@ -0,0 +1,14 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Doubao</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <path d="M5.31 15.756c.172-3.75 1.883-5.999 2.549-6.739-3.26 2.058-5.425 5.658-6.358 8.308v1.12C1.501 21.513 4.226 24 7.59 24a6.59 6.59 0 002.2-.375c.353-.12.7-.248 1.039-.378.913-.899 1.65-1.91 2.243-2.992-4.877 2.431-7.974.072-7.763-4.5l.002.001z"
+              fill="#1E37FC"></path>
+        <path d="M22.57 10.283c-1.212-.901-4.109-2.404-7.397-2.8.295 3.792.093 8.766-2.1 12.773a12.782 12.782 0 01-2.244 2.992c3.764-1.448 6.746-3.457 8.596-5.219 2.82-2.683 3.353-5.178 3.361-6.66a2.737 2.737 0 00-.216-1.084v-.002z"
+              fill="#37E1BE"></path>
+        <path d="M14.303 1.867C12.955.7 11.248 0 9.39 0 7.532 0 5.883.677 4.545 1.807 2.791 3.29 1.627 5.557 1.5 8.125v9.201c.932-2.65 3.097-6.25 6.357-8.307.5-.318 1.025-.595 1.569-.829 1.883-.801 3.878-.932 5.746-.706-.222-2.83-.718-5.002-.87-5.617h.001z"
+              fill="#A569FF"></path>
+        <path d="M17.305 4.961a199.47 199.47 0 01-1.08-1.094c-.202-.213-.398-.419-.586-.622l-1.333-1.378c.151.615.648 2.786.869 5.617 3.288.395 6.185 1.898 7.396 2.8-1.306-1.275-3.475-3.487-5.266-5.323z"
+              fill="#1E37FC"></path>
+    </g>
+</svg>

app/icons/llm-icons/gemini.svg

@@ -0,0 +1,15 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Gemini</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <defs>
+            <linearGradient id="lobe-icons-gemini-fill" x1="0%" x2="68.73%" y1="100%" y2="30.395%">
+                <stop offset="0%" stop-color="#1C7DFF"></stop>
+                <stop offset="52.021%" stop-color="#1C69FF"></stop>
+                <stop offset="100%" stop-color="#F0DCD6"></stop>
+            </linearGradient>
+        </defs>
+        <path d="M12 24A14.304 14.304 0 000 12 14.304 14.304 0 0012 0a14.305 14.305 0 0012 12 14.305 14.305 0 00-12 12"
+              fill="url(#lobe-icons-gemini-fill)" fill-rule="nonzero"></path>
+    </g>
+</svg>

app/icons/llm-icons/gemma.svg

@@ -0,0 +1,15 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Gemma</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <defs>
+            <linearGradient id="lobe-icons-gemma-fill" x1="24.419%" x2="75.194%" y1="75.581%" y2="25.194%">
+                <stop offset="0%" stop-color="#446EFF"></stop>
+                <stop offset="36.661%" stop-color="#2E96FF"></stop>
+                <stop offset="83.221%" stop-color="#B1C5FF"></stop>
+            </linearGradient>
+        </defs>
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app/icons/llm-icons/grok.svg

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+    <g transform="translate(3, 3)">
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+    </g>
+</svg>

app/icons/llm-icons/hunyuan.svg

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+        <g fill="none" fill-rule="evenodd">
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app/icons/llm-icons/meta.svg

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+            <path d="M18.309 16.515c-.55-.642-1.232-1.712-2.303-3.44l-1.396-2.336-.011-.02-1.62 2.438.012.02.989 1.668c.959 1.61 1.74 2.774 2.493 3.585l.016.016 1.834-1.914a2.353 2.353 0 01-.014-.017z"
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app/icons/llm-icons/mistral.svg

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+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Mistral</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <g fill="none" fill-rule="nonzero">
+            <path d="M15 6v4h-2V6h2zm4-4v4h-2V2h2zM3 2H1h2zM1 2h2v20H1V2zm8 12h2v4H9v-4zm8 0h2v8h-2v-8z"
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+        </g>
+    </g>
+</svg>

app/icons/llm-icons/moonshot.svg

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app/icons/llm-icons/openai.svg

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+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <path d="M21.55 10.004a5.416 5.416 0 00-.478-4.501c-1.217-2.09-3.662-3.166-6.05-2.66A5.59 5.59 0 0010.831 1C8.39.995 6.224 2.546 5.473 4.838A5.553 5.553 0 001.76 7.496a5.487 5.487 0 00.691 6.5 5.416 5.416 0 00.477 4.502c1.217 2.09 3.662 3.165 6.05 2.66A5.586 5.586 0 0013.168 23c2.443.006 4.61-1.546 5.361-3.84a5.553 5.553 0 003.715-2.66 5.488 5.488 0 00-.693-6.497v.001zm-8.381 11.558a4.199 4.199 0 01-2.675-.954c.034-.018.093-.05.132-.074l4.44-2.53a.71.71 0 00.364-.623v-6.176l1.877 1.069c.02.01.033.029.036.05v5.115c-.003 2.274-1.87 4.118-4.174 4.123zM4.192 17.78a4.059 4.059 0 01-.498-2.763c.032.02.09.055.131.078l4.44 2.53c.225.13.504.13.73 0l5.42-3.088v2.138a.068.068 0 01-.027.057L9.9 19.288c-1.999 1.136-4.552.46-5.707-1.51h-.001zM3.023 8.216A4.15 4.15 0 015.198 6.41l-.002.151v5.06a.711.711 0 00.364.624l5.42 3.087-1.876 1.07a.067.067 0 01-.063.005l-4.489-2.559c-1.995-1.14-2.679-3.658-1.53-5.63h.001zm15.417 3.54l-5.42-3.088L14.896 7.6a.067.067 0 01.063-.006l4.489 2.557c1.998 1.14 2.683 3.662 1.529 5.633a4.163 4.163 0 01-2.174 1.807V12.38a.71.71 0 00-.363-.623zm1.867-2.773a6.04 6.04 0 00-.132-.078l-4.44-2.53a.731.731 0 00-.729 0l-5.42 3.088V7.325a.068.068 0 01.027-.057L14.1 4.713c2-1.137 4.555-.46 5.707 1.513.487.833.664 1.809.499 2.757h.001zm-11.741 3.81l-1.877-1.068a.065.065 0 01-.036-.051V6.559c.001-2.277 1.873-4.122 4.181-4.12.976 0 1.92.338 2.671.954-.034.018-.092.05-.131.073l-4.44 2.53a.71.71 0 00-.365.623l-.003 6.173v.002zm1.02-2.168L12 9.25l2.414 1.375v2.75L12 14.75l-2.415-1.375v-2.75z"></path>
+    </g>
+</svg>

app/icons/llm-icons/qwen.svg

@@ -0,0 +1,14 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Qwen</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <defs>
+            <linearGradient id="lobe-icons-qwen-fill" x1="0%" x2="100%" y1="0%" y2="0%">
+                <stop offset="0%" stop-color="#00055F" stop-opacity=".84"></stop>
+                <stop offset="100%" stop-color="#6F69F7" stop-opacity=".84"></stop>
+            </linearGradient>
+        </defs>
+        <path d="M12.604 1.34c.393.69.784 1.382 1.174 2.075a.18.18 0 00.157.091h5.552c.174 0 .322.11.446.327l1.454 2.57c.19.337.24.478.024.837-.26.43-.513.864-.76 1.3l-.367.658c-.106.196-.223.28-.04.512l2.652 4.637c.172.301.111.494-.043.77-.437.785-.882 1.564-1.335 2.34-.159.272-.352.375-.68.37-.777-.016-1.552-.01-2.327.016a.099.099 0 00-.081.05 575.097 575.097 0 01-2.705 4.74c-.169.293-.38.363-.725.364-.997.003-2.002.004-3.017.002a.537.537 0 01-.465-.271l-1.335-2.323a.09.09 0 00-.083-.049H4.982c-.285.03-.553-.001-.805-.092l-1.603-2.77a.543.543 0 01-.002-.54l1.207-2.12a.198.198 0 000-.197 550.951 550.951 0 01-1.875-3.272l-.79-1.395c-.16-.31-.173-.496.095-.965.465-.813.927-1.625 1.387-2.436.132-.234.304-.334.584-.335a338.3 338.3 0 012.589-.001.124.124 0 00.107-.063l2.806-4.895a.488.488 0 01.422-.246c.524-.001 1.053 0 1.583-.006L11.704 1c.341-.003.724.032.9.34zm-3.432.403a.06.06 0 00-.052.03L6.254 6.788a.157.157 0 01-.135.078H3.253c-.056 0-.07.025-.041.074l5.81 10.156c.025.042.013.062-.034.063l-2.795.015a.218.218 0 00-.2.116l-1.32 2.31c-.044.078-.021.118.068.118l5.716.008c.046 0 .08.02.104.061l1.403 2.454c.046.081.092.082.139 0l5.006-8.76.783-1.382a.055.055 0 01.096 0l1.424 2.53a.122.122 0 00.107.062l2.763-.02a.04.04 0 00.035-.02.041.041 0 000-.04l-2.9-5.086a.108.108 0 010-.113l.293-.507 1.12-1.977c.024-.041.012-.062-.035-.062H9.2c-.059 0-.073-.026-.043-.077l1.434-2.505a.107.107 0 000-.114L9.225 1.774a.06.06 0 00-.053-.031zm6.29 8.02c.046 0 .058.02.034.06l-.832 1.465-2.613 4.585a.056.056 0 01-.05.029.058.058 0 01-.05-.029L8.498 9.841c-.02-.034-.01-.052.028-.054l.216-.012 6.722-.012z"
+              fill="url(#lobe-icons-qwen-fill)" fill-rule="nonzero"></path>
+    </g>
+</svg>

app/icons/llm-icons/wenxin.svg

@@ -0,0 +1,18 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
+    <title>Wenxin</title>
+    <rect width="30" height="30" fill="#E7F8FF" rx="6"/>
+    <g transform="translate(3, 3)">
+        <defs>
+            <linearGradient id="lobe-icons-wenxin-fill" x1="9.155%" x2="90.531%" y1="75.177%" y2="25.028%">
+                <stop offset="0%" stop-color="#0A51C3"></stop>
+                <stop offset="100%" stop-color="#23A4FB"></stop>
+            </linearGradient>
+        </defs>
+        <g fill="none" fill-rule="nonzero">
+            <path d="M11.32 1.176a1.4 1.4 0 011.36 0l8.64 4.843c.421.234.68.67.68 1.141v9.68c0 .472-.259.908-.68 1.143l-8.64 4.84a1.4 1.4 0 01-1.36 0l-8.64-4.84A1.31 1.31 0 012 16.84V7.159c0-.471.259-.907.68-1.142l8.64-4.84zm7.42 13.839V8.227L12.002 12 12 19.551l6.059-3.394a1.31 1.31 0 00.68-1.142zM12.68 4.833a1.393 1.393 0 00-1.36 0L5.944 7.846c-.421.235-.68.67-.68 1.142v6.027c0 .47.259.905.68 1.142l2.795 1.566V11.09a1.546 1.546 0 00.221.79 1.527 1.527 0 01-.216-.834l.004-.094.02-.15.018-.084.017-.062.039-.117.062-.142.035-.065.081-.13.094-.122.084-.091.08-.075.125-.1.071-.048.134-.076 5.87-3.29-2.796-1.566z"
+                  fill="url(#lobe-icons-wenxin-fill)"></path>
+            <path d="M12 11.088c0-.875-.73-1.584-1.631-1.584a1.66 1.66 0 00-.855.237c-.027.016-.055.033-.08.05a2.361 2.361 0 00-.123.093c-.022.02-.045.038-.066.059l-.048.045-.063.067c-.014.016-.028.031-.04.048a2.303 2.303 0 00-.094.125l-.042.069a1.7 1.7 0 00-.07.13l-.036.081a.764.764 0 00-.022.06c-.01.03-.02.058-.028.087l-.017.062a.883.883 0 00-.03.16c-.002.025-.007.05-.008.074a1.527 1.527 0 00.213.929c.302.508.85.792 1.414.792.277 0 .558-.068.814-.212l.815-.457v-.914L12 11.088z"
+                  fill="#012F8D"></path>
+        </g>
+    </g>
+</svg>

app/icons/mcp.svg

@@ -0,0 +1,15 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 180 180" fill="none">
+    <g clip-path="url(#clip0_19_13)">
+        <path d="M18 84.8528L85.8822 16.9706C95.2548 7.59798 110.451 7.59798 119.823 16.9706V16.9706C129.196 26.3431 129.196 41.5391 119.823 50.9117L68.5581 102.177"
+              stroke="black" stroke-width="12" stroke-linecap="round"/>
+        <path d="M69.2652 101.47L119.823 50.9117C129.196 41.5391 144.392 41.5391 153.765 50.9117L154.118 51.2652C163.491 60.6378 163.491 75.8338 154.118 85.2063L92.7248 146.6C89.6006 149.724 89.6006 154.789 92.7248 157.913L105.331 170.52"
+              stroke="black" stroke-width="12" stroke-linecap="round"/>
+        <path d="M102.853 33.9411L52.6482 84.1457C43.2756 93.5183 43.2756 108.714 52.6482 118.087V118.087C62.0208 127.459 77.2167 127.459 86.5893 118.087L136.794 67.8822"
+              stroke="black" stroke-width="12" stroke-linecap="round"/>
+    </g>
+    <defs>
+        <clipPath id="clip0_19_13">
+            <rect width="180" height="180" fill="white"/>
+        </clipPath>
+    </defs>
+</svg>

app/icons/pause.svg

@@ -1 +1,3 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="16" height="16" fill="none" viewBox="0 0 16 16"><defs><rect id="path_0" width="16" height="16" x="0" y="0"/></defs><g opacity="1" transform="translate(0 0) rotate(0 8 8)"><mask id="bg-mask-0" fill="#fff"><use xlink:href="#path_0"/></mask><g mask="url(#bg-mask-0)"><path id="路径 1" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M13.33,6.67C13.33,2.98 10.35,0 6.67,0C2.98,0 0,2.98 0,6.67C0,10.35 2.98,13.33 6.67,13.33C10.35,13.33 13.33,10.35 13.33,6.67Z" transform="translate(1.3333333333333333 1.3333333333333333) rotate(0 6.666666666666666 6.666666666666666)"/><path id="路径 2" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M0,0L0,4" transform="translate(6.333333333333333 6) rotate(0 0 2)"/><path id="路径 3" style="stroke:#333;stroke-width:1.3333333333333333;stroke-opacity:1;stroke-dasharray:0 0" d="M0,0L0,4" transform="translate(9.666666666666666 6) rotate(0 0 2)"/></g></g></svg>
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+  <rect x="3" y="3" width="18" height="18" rx="2" ry="2"></rect>
+</svg>

app/icons/play.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+  <polygon points="5 3 19 12 5 21 5 3"></polygon>
+</svg> 

app/icons/power.svg

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="24" height="24" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
+    <path
+        d="M14.5 8C13.8406 8.37652 13.2062 8.79103 12.6 9.24051C11.5625 10.0097 10.6074 10.8814 9.75 11.8402C6.79377 15.1463 5 19.4891 5 24.2455C5 34.6033 13.5066 43 24 43C34.4934 43 43 34.6033 43 24.2455C43 19.4891 41.2062 15.1463 38.25 11.8402C37.3926 10.8814 36.4375 10.0097 35.4 9.24051C34.7938 8.79103 34.1594 8.37652 33.5 8"
+        stroke="#333" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
+    <path d="M24 4V24" stroke="#333" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
+</svg>