fix: i18n next

chat model config
2023-08-09 11:05:41 +08:00 · 2023-08-09 10:52:13 +08:00
465 changed files with 16323 additions and 31735 deletions
--- a/.github/ISSUE_TEMPLATE/bugs.md
+++ b/.github/ISSUE_TEMPLATE/bugs.md
@@ -1,29 +0,0 @@
---
-name: 问题反馈
-about: 详细清晰的描述你遇到的问题
-title: ''
-labels: bug
-assignees: ''
-
---
-
-**例行检查**
-
-[//]: # (方框内删除已有的空格，填 x 号)
-+ [ ] 我已确认目前没有类似 issue
-+ [ ] 我已完整查看过项目 README，以及[项目文档](https://doc.fastgpt.run/docs/intro/)
-+ [ ] 我使用了自己的key，并确认我的 key 是可正常使用的
-+ [ ] 我理解并愿意跟进此 issue，协助测试和提供反馈 
-+ [ ] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 issue 可能会被无视或直接关闭**
-
-**你的版本**
-+ [ ] 公有云版本
-+ [ ] 私有部署版本
-
-**问题描述**
-
-**复现步骤**
-
-**预期结果**
-
-**相关截图**
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -1,5 +0,0 @@
-blank_issues_enabled: false
-contact_links:
-  - name: 微信交流群
-    url: https://doc.fastgpt.run/wechat-fastgpt.webp
-    about: FastGPT 全是问题群
--- a/.github/ISSUE_TEMPLATE/features.md
+++ b/.github/ISSUE_TEMPLATE/features.md
@@ -1,23 +0,0 @@
---
-name: 功能请求
-about: 详细描述你期望的功能
-title: ''
-labels: enhancement
-assignees: ''
---
-
-**例行检查**
-
-[//]: # '方框内删除已有的空格，填 x 号'
-
- [ ] 我已确认目前没有类似 features
- [ ] 我已确认我已升级到最新版本
- [ ] 我已完整查看过项目 README，已确定现有版本无法满足需求
- [ ] 我理解并愿意跟进此 features，协助测试和提供反馈
- [ ] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 features 可能会被无视或直接关闭**
-
-**功能描述**
-
-**应用场景**
-
-**相关示例**
--- a/.github/imgs/logo.svg
+++ b/.github/imgs/logo.svg
@@ -1,14 +0,0 @@
-<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
-<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
-<defs>
-<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
-<stop stop-color="#326DFF"/>
-<stop offset="1" stop-color="#8EAEFF"/>
-</linearGradient>
-<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
-<stop stop-color="#326DFF"/>
-<stop offset="1" stop-color="#8EAEFF"/>
-</linearGradient>
-</defs>
-</svg>
--- a/.github/workflows/deploy-docs.yml
+++ b/.github/workflows/deploy-docs.yml
@@ -1,71 +0,0 @@
-name: deploy-docs
-
-on:
-  workflow_dispatch:
-  push:
-    paths:
-      - 'docSite/**'
-    branches:
-      - 'main'
-    tags:
-      - 'v*.*.*'
-
-# A workflow run is made up of one or more jobs that can run sequentially or in parallel
-jobs:
-  # This workflow contains jobs "deploy-production"
-  deploy-production:
-    # The environment this job references
-    environment:
-      name: Production
-      url: ${{ steps.vercel-action.outputs.preview-url }}
-
-    # The type of runner that the job will run on
-    runs-on: ubuntu-22.04
-
-    # Job outputs
-    outputs:
-      docs: ${{ steps.filter.outputs.docs }}
-
-    # Steps represent a sequence of tasks that will be executed as part of the job
-    steps:
-      # Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
-      - name: Checkout
-        uses: actions/checkout@v3
-        with:
-          submodules: recursive # Fetch submodules
-          fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
-
-      # Step 2 Detect changes to Docs Content
-      - name: Detect changes in doc content
-        uses: dorny/paths-filter@v2
-        id: filter
-        with:
-          filters: |
-            docs:
-              - 'docSite/content/docs/**'
-          base: main
-
-      # Step 3 - Install Hugo (specific version)
-      - name: Install Hugo
-        uses: peaceiris/actions-hugo@v2
-        with:
-          hugo-version: '0.117.0'
-          extended: true
-
-      # Step 4 - Builds the site using Hugo
-      - name: Build
-        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
-        env:
-          HUGO_BASEURL: ${{ vars.BASE_URL }}
-
-      # Step 5 - Push our generated site to Vercel
-      - name: Deploy to Vercel
-        uses: amondnet/vercel-action@v25
-        id: vercel-action
-        with:
-          vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
-          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
-          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
-          github-comment: false
-          vercel-args: '--prod --local-config ../vercel.json' # Optional
-          working-directory: docSite/public
--- a/.github/workflows/fastgpt-image.yml
+++ b/.github/workflows/fastgpt-image.yml
@@ -77,28 +77,3 @@ jobs:
        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
      - name: Push image to Docker Hub
        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
-  push-to-ali-hub:
-    needs: build-fastgpt-images
-    runs-on: ubuntu-20.04
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v3
-      - name: Login to Ali Hub
-        uses: docker/login-action@v2
-        with:
-          registry: registry.cn-hangzhou.aliyuncs.com
-          username: ${{ secrets.ALI_HUB_USERNAME }}
-          password: ${{ secrets.ALI_HUB_PASSWORD }}
-      - name: Set DOCKER_REPO_TAGGED based on branch or tag
-        run: |
-          if [[ "${{ github.ref_name }}" == "main" ]]; then
-            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
-          else
-            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
-          fi
-      - name: Pull image from GitHub Container Registry
-        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
-      - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
-      - name: Push image to Docker Hub
-        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
--- a/.gitignore
+++ b/.gitignore
@@ -29,8 +29,4 @@ next-env.d.ts
 platform.json
 testApi/
 local/
-dist/
-
-# hugo
-**/.hugo_build.lock
-docSite/public/
+dist/
--- a/210
+++ b/210
@@ -1,35 +1,201 @@
-# FastGPT Open Source License
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/

-The FastGPT is licensed under the Apache License 2.0, with the following additional conditions:
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

-1. FastGPT is permitted to be used for commercialization. You can use FastGPT as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
+   1. Definitions.

-a. Multi-tenant SaaS service: Unless explicitly authorized by FastGPT in writing, you may not use the FastGPT.AI source code to operate a multi-tenant SaaS service that is similar to the FastGPT.
-b. LOGO and copyright information: In the process of using FastGPT, you may not remove or moFastGPT the LOGO or copyright information in the FastGPT console.
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.

-Please contact yujinlong@sealos.io by email to inquire about licensing matters.
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.

-2. As a contributor, you should agree that your contributed code:
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+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.

-a. The producer can adjust the open-source agreement to be more strict or relaxed.
-b. Can be used for commercial purposes, such as FastGPT's cloud business.
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.

-Apart from this, all other rights and restrictions follow the Apache License 2.0. If you need more detailed information, you can refer to the full version of Apache License 2.0.
+      "Source" form shall mean the preferred form for making modifications,
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--- a/README.md
+++ b/README.md
@@ -1,93 +1,39 @@
-<div align="center">
-
-<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
-
 # FastGPT

 FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！

-</div>
-
-<p align="center">
-  <a href="https://fastgpt.run/">线上体验</a>
-  ·
-  <a href="https://doc.fastgpt.run/docs/intro">相关文档</a>
-  ·
-  <a href="https://doc.fastgpt.run/docs/development">本地开发</a>
-  ·
-  <a href="https://github.com/labring/FastGPT#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">相关项目</a>
-</p>
-
 ## 🛸 在线体验

-[fastgpt.run](https://fastgpt.run/)（服务器在新加坡，部分地区可能无法直连）
+🎉 [fastgpt.run](https://fastgpt.run/)（服务器在新加坡，部分地区可能无法直连）

 |                                    |                                    |
 | ---------------------------------- | ---------------------------------- |
 | ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
 | ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |

-## 💡 功能
-
-1. 强大的可视化编排，轻松构建 AI 应用
-   - [x] 提供简易模式，无需操作编排
-   - [x] 用户对话前引导
-   - [x] 全局变量
-   - [x] 知识库搜索
-   - [x] 多 LLM 模型对话
-   - [x] 文本内容提取成结构化数据
-   - [x] HTTP 扩展
-   - [ ] 沙盒 JS 运行模块
-   - [ ] 连续对话引导
-   - [ ] 对话多路线选择
-   - [ ] 源文件引用追踪
-2. 丰富的知识库预处理
-   - [x] 多库复用，混用
-   - [x] chunk 记录修改和删除
-   - [x] 支持直接分段导入
-   - [x] 支持 QA 拆分导入
-   - [x] 支持手动输入内容
-   - [x] 支持 url 读取导入
-   - [x] 支持 CSV 批量导入问答对
-   - [ ] 支持知识库单独设置向量模型
-   - [ ] 源文件存储
-3. 多种效果测试渠道
-   - [x] 知识库单点搜索测试
-   - [x] 对话时反馈引用并可修改与删除
-   - [x] 完整上下文呈现
-   - [ ] 完整模块中间值呈现
-4. OpenAPI
-   - [x] completions 接口（对齐 GPT 接口）
-   - [ ] 知识库 CRUD
-5. 运营功能
-   - [x] 免登录分享窗口
-   - [x] Iframe 一键嵌入
-   - [ ] 统一查阅对话记录
-
 ## 👨‍💻 开发

 项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）

- **⚡ 快速部署**
+- [快开始本地开发](https://doc.fastgpt.run/docs/develop/dev)
+- [部署 FastGPT](https://doc.fastgpt.run/docs/category/deploy)

-  > Sealos 的服务器在国外，不需要额外处理网络问题，无需服务器、无需魔法、无需域名，支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
+## :point_right: RoadMap

-  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
-
-  由于需要部署数据库，部署完后需要等待 2~4 分钟才能正常访问。默认用了最低配置，首次访问时会有些慢。
-
-* [快开始本地开发](https://doc.fastgpt.run/docs/development)
-* [部署 FastGPT](https://doc.fastgpt.run/docs/installation)
-* [系统配置文件说明](https://doc.fastgpt.run/docs/installation/reference)
-* [多模型配置](https://doc.fastgpt.run/docs/installation/reference/models)
-* [版本升级](https://doc.fastgpt.run/docs/installation/upgrading)
-* [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
+- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)

 ## 🏘️ 社区交流群

-| 交流群                                                | 小助手                                         |
-| ----------------------------------------------------- | ---------------------------------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300-222.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
+| 交流群                                            | 小助手                                         |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
+
+## Powered by
+
+- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
+- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
+- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
+- [One API: 令牌管理 & 二次分发，支持 Azure](https://github.com/songquanpeng/one-api)

 ## 👀 其他

@@ -96,26 +42,10 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开
 - [公众号接入视频教程](https://www.bilibili.com/video/BV1xh4y1t7fy/)
 - [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)

-## 💪 相关项目
-
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
- [One API: 多模型管理，支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
-
-## 🤝 第三方生态
+## 第三方生态

 - [luolinAI: 企微机器人，开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)

 ## 🌟 Star History

 [![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
-
-## 使用协议
-
-本仓库遵循 [FastGPT Open Source License](./LICENSE) 开源协议。
-
-1. 允许作为后台服务直接商用，但不允许直接使用 saas 服务商用。
-2. 需保留相关版权信息。
-3. 完整请查看 [FastGPT Open Source License](./LICENSE)
-4. 联系方式：yujinlong@sealos.io, [点击查看定价策略](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
--- a/README_en.md
+++ b/README_en.md
@@ -1,115 +0,0 @@
-<div align="center">
-<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
-
-# FastGPT
-
-FastGPT is a knowledge-based question answering system based on the LLM language model, providing out-of-the-box capabilities for data processing, model invocation, and more. It also allows for complex question answering scenarios through visual workflow orchestration using Flow!
-
-</div>
-
-<p align="center">
-<a href="https://fastgpt.run/">Online</a>
-·
-<a href="https://doc.fastgpt.run/docs/intro">Document</a>
-·
-<a href="https://doc.fastgpt.run/docs/development">Development</a>
-·
-<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
-·
-<a href="#powered-by">Power By</a>
-</p>
-
-## 🛸 Online
-
-[fastgpt.run](https://fastgpt.run/)
-| | |
-| ---------------------------------- | ---------------------------------- |
-| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
-| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
-
-## 💡 Features
-
-1. Powerful visual orchestration for easy AI application building
-
-   - [x] Provides a simple mode without the need for orchestration operations
-   - [x] User dialogue pre-guidance
-   - [x] Global variables
-   - [x] Knowledge base search
-   - [x] Multi-LLM model dialogue
-   - [x] Extraction of text content into structured data
-   - [x] HTTP extension
-   - [ ] Sandbox JS runtime module
-   - [ ] Continuous dialogue guidance
-   - [ ] Dialogue multi-path selection
-   - [ ] Source file reference tracking
-
-2. Rich knowledge base preprocessing
-
-   - [x] Multiple library reuse and mixing
-   - [x] Chunk record modification and deletion
-   - [x] Supports direct segment import
-   - [x] Supports QA split import
-   - [x] Supports manual input content
-   - [ ] Supports URL import reading
-   - [x] Supports batch import of Q&A pairs in CSV format
-   - [ ] Supports separate vector model settings for knowledge bases
-   - [ ] Source file storage
-
-3. Multiple effect testing channels
-
-   - [x] Knowledge base single point search testing
-   - [x] Feedback references and ability to modify and delete during dialogue
-   - [x] Complete context presentation
-   - [ ] Complete module intermediate value presentation
-
-4. OpenAPI
-
-   - [x] completions interface (aligned with GPT interface)
-   - [ ] Knowledge base CRUD
-
-5. Operational functions
-
-   - [x] Login-free sharing window
-   - [x] One-click embedding with Iframe
-   - [ ] Unified access to dialogue records
-
-## 👨‍💻 Development
-
-Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
-
- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
-
-<!-- ## :point_right: RoadMap
- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
-
-<!-- ## 🏘️ Community
-
-| Community Group                                   | Assistant                                      |
-| ------------------------------------------------- | ---------------------------------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) | -->
-
-## 👀 Others
-
- [FastGpt FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGpt Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
-
-## 💪 Related Projects
-
- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)
-
-## 🤝 Third-party Ecosystem
-
- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
-
-## 🌟 Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
--- a/client/.env.template
+++ b/client/.env.template
@@ -12,10 +12,15 @@ ROOT_KEY=fdafasd
 # openai 基本地址，可用作中转。
 OPENAI_BASE_URL=https://api.openai.com/v1
 # oneapi 地址，可以使用 oneapi 来实现多模型接入
-# ONEAPI_URL=https://xxxx.cloud.sealos.io/openai/v1
+ONEAPI_URL=https://xxxx.cloud.sealos.io/openai/v1
 # 通用key。可以是 openai 的也可以是 oneapi 的。
 # 此处逻辑：优先走 ONEAPI_URL，如果填写了 ONEAPI_URL，key 也需要是 ONEAPI 的 key
 CHAT_API_KEY=sk-xxxx
 # db
-MONGODB_URI=mongodb://username:password@0.0.0.0:27017/fastgpt
-PG_URL=postgresql://username:password@host:port/postgres
+MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
+MONGODB_NAME=fastgpt
+PG_HOST=0.0.0.0
+PG_PORT=8100
+PG_USER=root
+PG_PASSWORD=psw
+PG_DB_NAME=dbname
--- a/client/data/config.json
+++ b/client/data/config.json
@@ -5,10 +5,9 @@
    "show_appStore": false,
    "show_userDetail": false,
    "show_git": true,
-    "systemTitle": "FastGPT",
-    "authorText": "Made by FastGPT Team.",
-    "gitLoginKey": "",
-    "scripts": []
+    "systemTitle": "FastAI",
+    "authorText": "Made by FastAI Team.",
+    "gitLoginKey": ""
  },
  "SystemParams": {
    "gitLoginSecret": "",
@@ -16,48 +15,49 @@
    "qaMaxProcess": 15,
    "pgIvfflatProbe": 20
  },
+  "plugins": {},
  "ChatModels": [
    {
      "model": "gpt-3.5-turbo",
-      "name": "GPT35-4k",
+      "name": "FastAI-4k",
      "contextMaxToken": 4000,
      "quoteMaxToken": 2000,
      "maxTemperature": 1.2,
-      "price": 0,
+      "price": 1.5,
      "defaultSystem": ""
    },
    {
      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
+      "name": "FastAI-16k",
      "contextMaxToken": 16000,
      "quoteMaxToken": 8000,
      "maxTemperature": 1.2,
-      "price": 0,
+      "price": 3,
      "defaultSystem": ""
    },
    {
      "model": "gpt-4",
-      "name": "GPT4-8k",
+      "name": "FastAI-Plus",
      "contextMaxToken": 8000,
      "quoteMaxToken": 4000,
      "maxTemperature": 1.2,
-      "price": 0,
+      "price": 45,
      "defaultSystem": ""
    }
  ],
+  "QAModels": [
+    {
+      "model": "gpt-3.5-turbo-16k",
+      "name": "FastAI-16k",
+      "maxToken": 16000,
+      "price": 3
+    }
+  ],
  "VectorModels": [
    {
      "model": "text-embedding-ada-002",
      "name": "Embedding-2",
-      "price": 0,
-      "defaultToken": 500,
-      "maxToken": 3000
+      "price": 0.2
    }
-  ],
-  "QAModel": {
-    "model": "gpt-3.5-turbo-16k",
-    "name": "GPT35-16k",
-    "maxToken": 16000,
-    "price": 0
-  }
+  ]
 }
--- a/client/package.json
+++ b/client/package.json
@@ -15,7 +15,6 @@
    "@dqbd/tiktoken": "^1.0.7",
    "@emotion/react": "^11.10.6",
    "@emotion/styled": "^11.10.6",
-    "@mozilla/readability": "^0.4.4",
    "@next/font": "13.1.6",
    "@tanstack/react-query": "^4.24.10",
    "@types/nprogress": "^0.2.0",
@@ -31,7 +30,6 @@
    "i18next": "^22.5.1",
    "immer": "^9.0.19",
    "js-cookie": "^3.0.5",
-    "jsdom": "^22.1.0",
    "jsonwebtoken": "^9.0.0",
    "lodash": "^4.17.21",
    "mammoth": "^1.5.1",
@@ -60,8 +58,6 @@
    "request-ip": "^3.3.0",
    "sass": "^1.58.3",
    "tunnel": "^0.0.6",
-    "winston": "^3.10.0",
-    "winston-mongodb": "^5.1.1",
    "zustand": "^4.3.5"
  },
  "devDependencies": {
@@ -69,7 +65,6 @@
    "@types/cookie": "^0.5.1",
    "@types/formidable": "^2.0.5",
    "@types/js-cookie": "^3.0.3",
-    "@types/jsdom": "^21.1.1",
    "@types/jsonwebtoken": "^9.0.1",
    "@types/lodash": "^4.14.191",
    "@types/node": "18.14.0",
--- a/client/pnpm-lock.yaml
+++ b/client/pnpm-lock.yaml
--- a/client/public/docs/chatProblem.md
+++ b/client/public/docs/chatProblem.md
@@ -1,12 +1,12 @@
 ### 常见问题

- [**Git 地址**，点击查看项目地址](https://github.com/labring/FastGPT)
- [本地部署 FastGPT](https://doc.fastgpt.run/docs/installation)
- [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
- **反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
- **问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [点击查看商业版文档](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
+**一键部署**：V4 版本未正式开源，目前仅提供一键部署方案:

+[![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
+
+**Git 地址**: [项目地址。V4-beta 暂未开源，在正式版发布后会开源。](https://github.com/labring/FastGPT)
+**反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
+**问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)  
 **价格表**
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
 | --- | --- |
--- a/client/public/docs/versionIntro.md
+++ b/client/public/docs/versionIntro.md
@@ -1,7 +1,8 @@
-### Fast GPT V4.2.2
+### Fast GPT V4.0-beta

-1. **新增 - 用户反馈和管理员标注预期答案，以不断提高模型回复准确率。** 该功能为测试版，未来交互可能会有变化，欢迎大家提出宝贵意见。
-2. 优化 - 知识库搜索提示词，更适配问答场景。
-3. 新增 - 好友邀请链接，[点击查看](/account?currentTab=promotion)
-4. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
-5. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
+1. 全新交互，增加采用模块组合的方式构建知识库，同时保留表单的简易模式。
+2. 问题分类 - 可以对用户的问题进行分类，再执行不同的操作。
+3. 对话引导 - 增加开场引导和变量，提高对话可玩性。
+4. 新增 - 每轮对话均可展示完整的上下文状态。
+5. 新增 - 网页嵌入（简单版），可直接接入现有网页。在 【应用详情-外部使用-创建新链接-嵌入网页】 中获取嵌入脚本。
+6. 新增 - 个人 openai 账号可以使用网页上 OpenAI 对话模型。
--- a/client/public/favicon.ico
+++ b/client/public/favicon.ico
--- a/client/public/icon/logo.png
+++ b/client/public/icon/logo.png
--- a/client/public/icon/logo.svg
+++ b/client/public/icon/logo.svg
@@ -1,14 +0,0 @@
-<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
-<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
-<defs>
-<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
-<stop stop-color="#326DFF"/>
-<stop offset="1" stop-color="#8EAEFF"/>
-</linearGradient>
-<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
-<stop stop-color="#326DFF"/>
-<stop offset="1" stop-color="#8EAEFF"/>
-</linearGradient>
-</defs>
-</svg>
--- a/client/public/icon/logo2.png
+++ b/client/public/icon/logo2.png
--- a/client/public/imgs/files/url.svg
+++ b/client/public/imgs/files/url.svg
@@ -1 +0,0 @@
-<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1692418843591" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4084" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M511.5 82c-236.6 0-429 192.4-429 429 0 236.5 192.5 429 429 429 236.6 0 429-192.4 429-429 0-236.5-192.4-429-429-429z m377.6 403.8H734.3c-4-139.9-41.4-259.9-97.5-331.9C776.5 203 879 332 889.1 485.8z m-402.8-349v349h-147c5.5-175.5 68.6-322.6 147-349z m0 399.4v349c-78.4-26.4-141.4-173.5-147-349h147z m50.5 349v-349h147c-5.6 175.5-68.6 322.6-147 349z m0-399.4v-349c78.4 26.4 141.4 173.5 147 349h-147zM386.3 153.9c-56.1 72-93.5 192-97.5 331.9H133.9C144.1 332 246.5 203 386.3 153.9zM133.9 536.2h154.8c4 139.9 41.4 259.9 97.5 331.9C246.5 819 144.1 690 133.9 536.2z m502.8 331.9c56.1-72 93.5-192 97.5-331.9H889C879 690 776.5 819 636.7 868.1z" fill="#5F9BEB" p-id="4085"></path></svg>
--- a/client/public/js/iframe.js
+++ b/client/public/js/iframe.js
@@ -20,9 +20,11 @@ async function embedChatbot() {
  const ChatBtn = document.createElement('div');
  ChatBtn.id = chatBtnId;
  ChatBtn.style.cssText =
-    'position: fixed; bottom: 1rem; right: 1rem; width: 40px; height: 40px; cursor: pointer; z-index: 2147483647; transition: 0;';
+    'position: fixed; bottom: 1rem; right: 1rem; width: 40px; height: 40px; cursor: pointer; z-index: 2147483647; ';

  const ChatBtnDiv = document.createElement('div');
+  ChatBtnDiv.style.cssText =
+    'transition: all 0.2s ease-in-out 0s; left: unset; transform: scale(1); :hover {transform: scale(1.1);} display: flex; align-items: center; justify-content: center; width: 100%; height: 100%; z-index: 9999;';
  ChatBtnDiv.innerHTML = MessageIcon;

  const iframe = document.createElement('iframe');
@@ -36,15 +38,7 @@ async function embedChatbot() {

  document.body.appendChild(iframe);

-  let chatBtnDragged = false;
-  let chatBtnDown = false;
-  let chatBtnMouseX;
-  let chatBtnMouseY;
  ChatBtn.addEventListener('click', function () {
-    if (chatBtnDragged) {
-      chatBtnDragged = false;
-      return;
-    }
    const chatWindow = document.getElementById(chatWindowId);

    if (!chatWindow) return;
@@ -58,31 +52,6 @@ async function embedChatbot() {
    }
  });

-  ChatBtn.addEventListener('mousedown', (e) => {
-    if (!chatBtnMouseX && !chatBtnMouseY) {
-      chatBtnMouseX = e.clientX;
-      chatBtnMouseY = e.clientY;
-    }
-
-    chatBtnDown = true;
-  });
-  ChatBtn.addEventListener('mousemove', (e) => {
-    if (!chatBtnDown) return;
-    chatBtnDragged = true;
-    const transformX = e.clientX - chatBtnMouseX;
-    const transformY = e.clientY - chatBtnMouseY;
-
-    ChatBtn.style.transform = `translate3d(${transformX}px, ${transformY}px, 0)`;
-
-    e.stopPropagation();
-  });
-  ChatBtn.addEventListener('mouseup', (e) => {
-    chatBtnDown = false;
-  });
-  ChatBtn.addEventListener('mouseleave', (e) => {
-    chatBtnDown = false;
-  });
-
  ChatBtn.appendChild(ChatBtnDiv);
  document.body.appendChild(ChatBtn);
 }
--- a/client/public/locales/en/common.json
+++ b/client/public/locales/en/common.json
@@ -3,98 +3,42 @@
  "Cancel": "No",
  "Confirm": "Yes",
  "Running": "Running",
-  "Select value is empty": "Select value is empty",
-  "UnKnow": "UnKnow",
  "Warning": "Warning",
  "app": {
    "Advance App TestTip": "The current application is advanced editing mode \n. If you need to switch to [simple mode], please click the save button on the left",
    "App Detail": "App Detail",
-    "Chat Logs Tips": "Logs record the app's online, shared, and API conversations",
-    "Chat logs": "Chat Logs",
    "Confirm Del App Tip": "Confirm to delete the app and all its chats",
    "Confirm Save App Tip": "The application may be in advanced orchestration mode, and the advanced orchestration configuration will be overwritten after saving, please confirm!",
    "Connection is invalid": "Connecting is invalid",
    "Connection type is different": "Connection type is different",
-    "Copy Module Config": "Copy config",
-    "Export Config Successful": "The configuration has been copied. Please check for important data",
-    "Export Configs": "Export Configs",
-    "Feedback Count": "User Feedback",
-    "Import Config": "Import Config",
-    "Import Config Failed": "Failed to import the configuration, please ensure that the configuration is normal!",
-    "Import Configs": "Import Configs",
    "Input Field Settings": "Input Field Settings",
-    "Logs Empty": "Logs is empty",
-    "Logs Message Total": "Message Count",
-    "Logs Source": "Source",
-    "Logs Time": "Time",
-    "Logs Title": "Title",
-    "Mark Count": "Mark Count",
    "My Apps": "My Apps",
-    "Output Field Settings": "Output Field Settings",
-    "Paste Config": "Paste Config"
+    "Output Field Settings": "Output Field Settings"
  },
  "chat": {
-    "Admin Mark Content": "Corrected response",
-    "Complete Response": "Complete Response",
    "Confirm to clear history": "Confirm to clear history?",
    "Exit Chat": "Exit",
-    "Feedback Failed": "Feedback Failed",
-    "Feedback Mark": "Mark",
-    "Feedback Modal": "Feedback",
-    "Feedback Modal Tip": "Enter what you find unsatisfactory",
-    "Feedback Close": "Close Feedback",
-    "Feedback Submit": "Submit",
-    "Feedback Success": "Feedback Success",
-    "Feedback Update Failed": "Feedback Update Failed",
    "History": "History",
-    "Mark": "Mark",
-    "Mark Description": "The annotation feature is currently in beta. \n\n After clicking Add annotation, you need to select a knowledge base in order to store annotation data. You can use this feature to quickly annotate questions and expected answers to guide the model to the next answer. At present, the annotation function, like other data in the knowledge base, is affected by the model, which does not mean that the annotation meets 100% expectations. The \n\n annotation data is only unidirectional synchronization with the knowledge base. If the knowledge base modifies the annotation data, the annotation data displayed in the log cannot be synchronized",
-    "Mark Description Title": "Mark Description",
    "New Chat": "New Chat",
-    "Read Mark Description": "Read mark description",
-    "Read User Feedback": "Read user feedback",
-    "Select Mark Kb": "Select Dataset",
-    "Select Mark Kb Desc": "Select a dataset to store the expected answers",
-    "You need to a chat app": "You need to a chat app",
-    "logs": {
-      "api": "API",
-      "online": "Online Chat",
-      "share": "Share",
-      "test": "Test Chat "
-    }
-  },
-  "commom": {
-    "Password inconsistency": "Password inconsistency"
+    "You need to a chat app": "You need to a chat app"
  },
  "common": {
    "Add": "Add",
    "Cancel": "Cancel",
    "Collect": "Collect",
    "Copy": "Copy",
-    "Copy Successful": "Copy Successful",
    "Course": "",
    "Delete": "Delete",
    "Filed is repeat": "Filed is repeated",
    "Filed is repeated": "",
    "Input": "Input",
-    "Output": "Output",
-    "export": ""
-  },
-  "dataset": {
-    "Confirm to delete the data": "Confirm to delete the data?",
-    "Queue Desc": "This data refers to the current amount of training for the entire system. FastGPT uses queued training, and if you have too much data to train, you may need to wait for a while",
-    "System Data Queue": "Data Queue"
+    "Output": "Output"
  },
  "file": {
    "Click to download CSV template": "Click to download CSV template",
-    "Create File": "Create File",
-    "Create file": "Create file",
-    "Drag and drop": "Drag and drop files here",
-    "Fetch Url": "Fetch Url",
+    "Drag and drop": "Drag and drop files here, or click",
    "If the imported file is garbled, please convert CSV to UTF-8 encoding format": "If the imported file is garbled, please convert CSV to UTF-8 encoding format",
    "Release the mouse to upload the file": "Release the mouse to upload the file",
-    "Select a maximum of 10 files": "Select a maximum of 10 files",
-    "max 10": "Max 10 files",
    "select a document": "select a document",
    "support": "support {{fileExtension}} file",
    "upload error description": "Only upload multiple files or one folder at a time"
@@ -139,8 +83,8 @@
    "Start Now": "Start Now",
    "Visual AI orchestration": "Visual AI orchestration",
    "Why FastGPT": "",
-    "desc": "AI knowledge base question and answer platform based on LLM large model",
-    "slogan": "Let the AI know more about you"
+    "desc": "",
+    "slogan": ""
  },
  "navbar": {
    "Account": "Account",
@@ -152,26 +96,17 @@
  },
  "user": {
    "Account": "Account",
-    "Amount of earnings": "Earnings",
-    "Amount of inviter": "Inviter",
    "Application Name": "Application Name",
    "Avatar": "Avatar",
    "Balance": "Balance",
    "Bill Detail": "Bill Detail",
    "Change": "Change",
-    "Copy invite url": "Copy invitation link",
-    "Invite Url": "Invite Url",
-    "Invite url tip": "Friends who register through this link will be permanently bound to you, and you will get a certain balance reward when they recharge. In addition, when friends register with their mobile phone number, you will get 5 yuan reward immediately.",
    "Notice": "Notice",
    "Old password is error": "Old password is error",
    "OpenAI Account Setting": "OpenAI Account Setting",
    "Password": "Password",
    "Pay": "Pay",
    "Personal Information": "Personal",
-    "Promotion": "Promotion",
-    "Promotion Rate": "Promotion Rate",
-    "Promotion Record": "Promotion",
-    "Promotion rate tip": "You will be rewarded with a percentage of the balance when your friends top up",
    "Recharge Record": "Recharge",
    "Replace": "Replace",
    "Set OpenAI Account Failed": "Set OpenAI account failed",
@@ -182,10 +117,6 @@
    "Update Password": "Update Password",
    "Update password failed": "Update password failed",
    "Update password succseful": "Update password succseful",
-    "Usage Record": "Usage",
-    "promotion": {
-      "pay": "",
-      "register": ""
-    }
+    "Usage Record": "Usage"
  }
 }
--- a/client/public/locales/zh/common.json
+++ b/client/public/locales/zh/common.json
@@ -3,98 +3,41 @@
  "Cancel": "取消",
  "Confirm": "确认",
  "Running": "运行中",
-  "Select value is empty": "选择的内容为空",
-  "UnKnow": "未知",
  "Warning": "提示",
  "app": {
    "Advance App TestTip": "当前应用为高级编排模式\n如需切换为【简易模式】请点击左侧保存按键",
    "App Detail": "应用详情",
-    "Chat Logs Tips": "日志会记录该应用的在线、分享和 API 对话记录",
-    "Chat logs": "对话日志",
    "Confirm Del App Tip": "确认删除该应用及其所有聊天记录？",
    "Confirm Save App Tip": "该应用可能为高级编排模式，保存后将会覆盖高级编排配置，请确认！",
    "Connection is invalid": "连接无效",
    "Connection type is different": "连接的类型不一致",
-    "Copy Module Config": "复制配置",
-    "Export Config Successful": "已复制配置，请注意检查是否有重要数据",
-    "Export Configs": "导出配置",
-    "Feedback Count": "用户反馈",
-    "Import Config": "导入配置",
-    "Import Config Failed": "导入配置失败，请确保配置正常！",
-    "Import Configs": "导入配置",
    "Input Field Settings": "输入字段编辑",
-    "Logs Empty": "还没有日志噢~",
-    "Logs Message Total": "消息总数",
-    "Logs Source": "来源",
-    "Logs Time": "时间",
-    "Logs Title": "标题",
-    "Mark Count": "标注答案数量",
    "My Apps": "我的应用",
-    "Output Field Settings": "输出字段编辑",
-    "Paste Config": "粘贴配置"
+    "Output Field Settings": "输出字段编辑"
  },
  "chat": {
-    "Admin Mark Content": "纠正后的回复",
-    "Complete Response": "完整响应",
    "Confirm to clear history": "确认清空该应用的聊天记录？",
    "Exit Chat": "退出聊天",
-    "Feedback Failed": "提交反馈异常",
-    "Feedback Mark": "标注",
-    "Feedback Modal": "结果反馈",
-    "Feedback Modal Tip": "输入你觉得回答不满意的地方",
-    "Feedback Close": "关闭反馈",
-    "Feedback Submit": "提交反馈",
-    "Feedback Success": "反馈成功!",
-    "Feedback Update Failed": "更新反馈状态失败",
    "History": "记录",
-    "Mark": "标注预期回答",
-    "Mark Description": "当前标注功能为测试版。\n\n点击添加标注后，需要选择一个知识库，以便存储标注数据。你可以通过该功能快速的标注问题和预期回答，以便引导模型下次的回答。\n\n目前，标注功能同知识库其他数据一样，受模型的影响，不代表标注后 100% 符合预期。\n\n标注数据仅单向与知识库同步，如果知识库修改了该标注数据，日志展示的标注数据无法同步",
-    "Mark Description Title": "标注功能介绍",
    "New Chat": "新对话",
-    "Read Mark Description": "查看标注功能介绍",
-    "Read User Feedback": "查看用户反馈",
-    "Select Mark Kb": "选择知识库",
-    "Select Mark Kb Desc": "选择一个知识库存储预期答案",
-    "You need to a chat app": "你需要创建一个应用",
-    "logs": {
-      "api": "API 调用",
-      "online": "在线使用",
-      "share": "外部链接调用",
-      "test": "测试"
-    }
-  },
-  "commom": {
-    "Password inconsistency": "两次密码不一致"
+    "You need to a chat app": "你需要创建一个应用"
  },
  "common": {
    "Add": "添加",
    "Cancel": "取消",
    "Collect": "收藏",
    "Copy": "复制",
-    "Copy Successful": "复制成功",
-    "Course": "",
    "Delete": "删除",
    "Filed is repeat": "",
    "Filed is repeated": "字段重复了",
    "Input": "输入",
-    "Output": "输出",
-    "export": ""
-  },
-  "dataset": {
-    "Confirm to delete the data": "确认删除该数据？",
-    "Queue Desc": "该数据是指整个系统当前待训练的数量。FastGPT 采用排队训练的方式，如果待训练的数据过多，可能需要等待一段时间",
-    "System Data Queue": "排队长度"
+    "Output": "输出"
  },
  "file": {
    "Click to download CSV template": "点击下载 CSV 模板",
-    "Create File": "创建新文件",
-    "Create file": "创建文件",
-    "Drag and drop": "拖拽文件至此",
-    "Fetch Url": "链接读取",
+    "Drag and drop": "拖拽文件至此，或点击",
    "If the imported file is garbled, please convert CSV to UTF-8 encoding format": "如果导入文件乱码，请将 CSV 转成 UTF-8 编码格式",
    "Release the mouse to upload the file": "松开鼠标上传文件",
-    "Select a maximum of 10 files": "最多选择10个文件",
-    "max 10": "最多选择 10 个文件",
    "select a document": "选择文件",
    "support": "支持 {{fileExtension}} 文件",
    "upload error description": "单次只支持上传多个文件或者一个文件夹"
@@ -152,26 +95,17 @@
  },
  "user": {
    "Account": "账号",
-    "Amount of earnings": "收益（￥）",
-    "Amount of inviter": "累计邀请人数",
    "Application Name": "应用名",
    "Avatar": "头像",
    "Balance": "余额",
    "Bill Detail": "账单详情",
    "Change": "变更",
-    "Copy invite url": "复制邀请链接",
-    "Invite Url": "邀请链接",
-    "Invite url tip": "通过该链接注册的好友将永久与你绑定，其充值时你会获得一定余额奖励。\n此外，好友使用手机号注册时，你将立即获得 5 元奖励。",
    "Notice": "通知",
    "Old password is error": "旧密码错误",
    "OpenAI Account Setting": "OpenAI 账号配置",
    "Password": "密码",
    "Pay": "充值",
    "Personal Information": "个人信息",
-    "Promotion": "",
-    "Promotion Rate": "返现比例",
-    "Promotion Record": "推广记录",
-    "Promotion rate tip": "好友充值时你将获得一定比例的余额奖励",
    "Recharge Record": "充值记录",
    "Replace": "更换",
    "Set OpenAI Account Failed": "设置 OpenAI 账号异常",
@@ -182,10 +116,6 @@
    "Update Password": "修改密码",
    "Update password failed": "修改密码异常",
    "Update password succseful": "修改密码成功",
-    "Usage Record": "使用记录",
-    "promotion": {
-      "pay": "好友充值",
-      "register": "好友注册"
-    }
+    "Usage Record": "使用记录"
  }
 }
--- a/client/src/api/app.ts
+++ b/client/src/api/app.ts
@@ -51,6 +51,3 @@ export const getAppTotalUsage = (data: { appId: string }) =>
    start: addDays(new Date(), -13),
    end: addDays(new Date(), 1)
  }).then((res) => (res.length === 0 ? [{ date: new Date(), total: 0 }] : res));
-
-export const getAppChatLogs = (data: RequestPaging & { appId: string }) =>
-  POST(`/app/getChatLogs`, data);
--- a/client/src/api/chat.ts
+++ b/client/src/api/chat.ts
@@ -5,7 +5,6 @@ import { RequestPaging } from '../types/index';
 import type { OutLinkSchema } from '@/types/mongoSchema';
 import type { ShareChatEditType } from '@/types/app';
 import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
-import { AdminUpdateFeedbackParams } from './request/chat';

 /**
 * 获取初始化聊天内容
@@ -28,10 +27,20 @@ export const delChatHistoryById = (chatId: string) => DELETE(`/chat/removeHistor
 */
 export const clearChatHistoryByAppId = (appId: string) => DELETE(`/chat/removeHistory`, { appId });

+/**
+ * update history quote status
+ */
+export const updateHistoryQuote = (params: {
+  chatId: string;
+  contentId: string;
+  quoteId: string;
+  sourceText: string;
+}) => PUT(`/chat/history/updateHistoryQuote`, params);
+
 /**
 * 删除一句对话
 */
-export const delChatRecordById = (data: { chatId: string; contentId: string }) =>
+export const delChatRecordByIndex = (data: { chatId: string; contentId: string }) =>
  DELETE(`/chat/delChatRecordByContentId`, data);

 /**
@@ -65,9 +74,3 @@ export const getShareChatList = (appId: string) =>
 * delete a  shareChat
 */
 export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);
-
-export const userUpdateChatFeedback = (data: { chatItemId: string; userFeedback?: string }) =>
-  POST('/chat/feedback/userUpdate', data);
-
-export const adminUpdateChatFeedback = (data: AdminUpdateFeedbackParams) =>
-  POST('/chat/feedback/adminUpdate', data);
--- a/client/src/api/fetch.ts
+++ b/client/src/api/fetch.ts
@@ -74,7 +74,7 @@ export const streamFetch = ({
            if (!eventName || !data) return;

            if (eventName === sseResponseEventEnum.answer && data !== '[DONE]') {
-              const answer: string = data?.choices?.[0]?.delta?.content || '';
+              const answer: string = data?.choices?.[0].delta.content || '';
              onMessage({ text: answer });
              responseText += answer;
            } else if (
--- a/client/src/api/plugins/common.ts
+++ b/client/src/api/plugins/common.ts
@@ -1,6 +0,0 @@
-import { GET, POST, PUT, DELETE } from '../request';
-
-import type { FetchResultItem } from '@/types/plugin';
-
-export const fetchUrls = (urlList: string[]) =>
-  POST<FetchResultItem[]>(`/plugins/urlFetch`, { urlList });
--- a/client/src/api/plugins/kb.ts
+++ b/client/src/api/plugins/kb.ts
@@ -12,14 +12,20 @@ import {
 } from '@/pages/api/openapi/kb/searchTest';
 import { Response as KbDataItemType } from '@/pages/api/plugins/kb/data/getDataById';
 import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
-import type { KbUpdateParams, CreateKbParams } from '../request/kb';
+
+export type KbUpdateParams = {
+  id: string;
+  name: string;
+  tags: string;
+  avatar: string;
+};

 /* knowledge base */
 export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);

 export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);

-export const postCreateKb = (data: CreateKbParams) => POST<string>(`/plugins/kb/create`, data);
+export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);

 export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);

@@ -54,9 +60,6 @@ export const getTrainingData = (data: { kbId: string; init: boolean }) =>
    vectorListLen: number;
  }>(`/plugins/kb/data/getTrainingData`, data);

-/* get length of system training queue */
-export const getTrainingQueueLen = () => GET<number>(`/plugins/kb/data/getQueueLen`);
-
 export const getKbDataItemById = (dataId: string) =>
  GET<KbDataItemType>(`/plugins/kb/data/getDataById`, { dataId });

@@ -66,14 +69,6 @@ export const getKbDataItemById = (dataId: string) =>
 export const postKbDataFromList = (data: PushDataProps) =>
  POST<PushDateResponse>(`/openapi/kb/pushData`, data);

-/**
- * insert one data to dataset
- */
-export const insertData2Kb = (data: {
-  kbId: string;
-  data: { a: string; q: string; source?: string };
-}) => POST<string>(`/plugins/kb/data/insertData`, data);
-
 /**
 * 更新一条数据
 */
--- a/client/src/api/request/chat.d.ts
+++ b/client/src/api/request/chat.d.ts
@@ -1,6 +0,0 @@
-export type AdminUpdateFeedbackParams = {
-  chatItemId: string;
-  kbId: string;
-  dataId: string;
-  content: string;
-};
--- a/client/src/api/request/kb.d.ts
+++ b/client/src/api/request/kb.d.ts
@@ -1,12 +0,0 @@
-export type KbUpdateParams = {
-  id: string;
-  name: string;
-  tags: string;
-  avatar: string;
-};
-export type CreateKbParams = {
-  name: string;
-  tags: string[];
-  avatar: string;
-  vectorModel: string;
-};
--- a/client/src/api/service/plugins.ts
+++ b/client/src/api/service/plugins.ts
@@ -1,8 +0,0 @@
-import { GET, POST } from './request';
-
-export const textCensor = (data: { text: string }) =>
-  POST<{ code?: number; message: string }>('/plugins/censor/text_baidu', data).then((res) => {
-    if (res?.code === 5000) {
-      return Promise.reject(res.message);
-    }
-  });
--- a/client/src/api/user.ts
+++ b/client/src/api/user.ts
@@ -1,6 +1,6 @@
 import { GET, POST, PUT } from './request';
 import { createHashPassword } from '@/utils/tools';
-import type { ResLogin, PromotionRecordType } from './response/user';
+import { ResLogin } from './response/user';
 import { UserAuthTypeEnum } from '@/constants/common';
 import { UserBillType, UserType, UserUpdateParams } from '@/types/user';
 import type { PagingData, RequestPaging } from '@/types';
@@ -10,11 +10,10 @@ export const sendAuthCode = (data: {
  username: string;
  type: `${UserAuthTypeEnum}`;
  googleToken: string;
-}) => POST(`/plusApi/user/account/sendCode`, data);
+}) => POST('/user/sendAuthCode', data);

 export const getTokenLogin = () => GET<UserType>('/user/account/tokenLogin');
-export const gitLogin = (params: { code: string; inviterId?: string }) =>
-  GET<ResLogin>('/user/account/gitLogin', params);
+export const gitLogin = (code: string) => GET<ResLogin>('/user/account/gitLogin', { code });

 export const postRegister = ({
  username,
@@ -25,9 +24,9 @@ export const postRegister = ({
  username: string;
  code: string;
  password: string;
-  inviterId?: string;
+  inviterId: string;
 }) =>
-  POST<ResLogin>(`/plusApi/user/account/register`, {
+  POST<ResLogin>('/user/account/register', {
    username,
    code,
    inviterId,
@@ -43,7 +42,7 @@ export const postFindPassword = ({
  code: string;
  password: string;
 }) =>
-  POST<ResLogin>(`/plusApi/user/account/updatePasswordByCode`, {
+  POST<ResLogin>('/user/account/updatePasswordByCode', {
    username,
    code,
    password: createHashPassword(password)
@@ -74,29 +73,12 @@ export const getPayCode = (amount: number) =>
  GET<{
    codeUrl: string;
    payId: string;
-  }>(`/plusApi/user/pay/getPayCode`, { amount });
+  }>(`/user/getPayCode?amount=${amount}`);

-export const checkPayResult = (payId: string) =>
-  GET<number>(`/plusApi/user/pay/checkPayResult`, { payId }).then(() => {
-    try {
-      GET('/user/account/paySuccess');
-    } catch (error) {}
-    return 'success';
-  });
+export const checkPayResult = (payId: string) => GET<number>(`/user/checkPayResult?payId=${payId}`);

 export const getInforms = (data: RequestPaging) =>
  POST<PagingData<informSchema>>(`/user/inform/list`, data);

 export const getUnreadCount = () => GET<number>(`/user/inform/countUnread`);
 export const readInform = (id: string) => GET(`/user/inform/read`, { id });
-
-/* get promotion init data */
-export const getPromotionInitData = () =>
-  GET<{
-    invitedAmount: number;
-    earningsAmount: number;
-  }>('/user/promotion/getPromotionData');
-
-/* promotion records */
-export const getPromotionRecords = (data: RequestPaging) =>
-  POST<PromotionRecordType>(`/user/promotion/getPromotions`, data);
--- a/client/src/components/ChatBox/FeedbackModal.tsx
+++ b/client/src/components/ChatBox/FeedbackModal.tsx
@@ -1,56 +0,0 @@
-import React, { useRef } from 'react';
-import { ModalBody, Textarea, ModalFooter, Button } from '@chakra-ui/react';
-import MyModal from '../MyModal';
-import { useRequest } from '@/hooks/useRequest';
-import { useTranslation } from 'next-i18next';
-import { userUpdateChatFeedback } from '@/api/chat';
-
-const FeedbackModal = ({
-  chatItemId,
-  onSuccess,
-  onClose
-}: {
-  chatItemId: string;
-  onSuccess: (e: string) => void;
-  onClose: () => void;
-}) => {
-  const ref = useRef<HTMLTextAreaElement>(null);
-  const { t } = useTranslation();
-
-  const { mutate, isLoading } = useRequest({
-    mutationFn: async () => {
-      const val = ref.current?.value || 'N/A';
-      return userUpdateChatFeedback({
-        chatItemId,
-        userFeedback: val
-      });
-    },
-    onSuccess() {
-      onSuccess(ref.current?.value || 'N/A');
-    },
-    successToast: t('chat.Feedback Success'),
-    errorToast: t('chat.Feedback Failed')
-  });
-
-  return (
-    <MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
-      <ModalBody>
-        <Textarea
-          ref={ref}
-          rows={10}
-          placeholder={t('chat.Feedback Modal Tip') || 'chat.Feedback Modal Tip'}
-        />
-      </ModalBody>
-      <ModalFooter>
-        <Button variant={'base'} mr={2} onClick={onClose}>
-          {t('Cancel')}
-        </Button>
-        <Button isLoading={isLoading} onClick={mutate}>
-          {t('chat.Feedback Submit')}
-        </Button>
-      </ModalFooter>
-    </MyModal>
-  );
-};
-
-export default FeedbackModal;
--- a/client/src/components/ChatBox/QuoteModal.tsx
+++ b/client/src/components/ChatBox/QuoteModal.tsx
@@ -1,5 +1,5 @@
 import React, { useCallback, useState } from 'react';
-import { ModalBody, Box, useTheme } from '@chakra-ui/react';
+import { ModalBody, ModalCloseButton, ModalHeader, Box, useTheme } from '@chakra-ui/react';
 import { getKbDataItemById } from '@/api/plugins/kb';
 import { useLoading } from '@/hooks/useLoading';
 import { useToast } from '@/hooks/useToast';
@@ -9,21 +9,13 @@ import MyIcon from '@/components/Icon';
 import InputDataModal from '@/pages/kb/detail/components/InputDataModal';
 import MyModal from '../MyModal';

-type SearchType = {
-  kb_id?: string;
-  id?: string;
-  q: string;
-  a?: string;
-  source?: string | undefined;
-};
-
 const QuoteModal = ({
  onUpdateQuote,
  rawSearch = [],
  onClose
 }: {
  onUpdateQuote: (quoteId: string, sourceText: string) => Promise<void>;
-  rawSearch: SearchType[];
+  rawSearch: QuoteItemType[];
  onClose: () => void;
 }) => {
  const theme = useTheme();
@@ -40,8 +32,7 @@ const QuoteModal = ({
   * click edit, get new kbDataItem
   */
  const onclickEdit = useCallback(
-    async (item: SearchType) => {
-      if (!item.id) return;
+    async (item: QuoteItemType) => {
      try {
        setIsLoading(true);
        const data = (await getKbDataItemById(item.id)) as QuoteItemType;
@@ -86,9 +77,9 @@ const QuoteModal = ({
        }
      >
        <ModalBody pt={0} whiteSpace={'pre-wrap'} textAlign={'justify'} fontSize={'sm'}>
-          {rawSearch.map((item, i) => (
+          {rawSearch.map((item) => (
            <Box
-              key={i}
+              key={item.id}
              flex={'1 0 0'}
              p={2}
              borderRadius={'lg'}
@@ -96,38 +87,35 @@ const QuoteModal = ({
              _notLast={{ mb: 2 }}
              position={'relative'}
              _hover={{ '& .edit': { display: 'flex' } }}
-              overflow={'hidden'}
            >
              {item.source && <Box color={'myGray.600'}>({item.source})</Box>}
              <Box>{item.q}</Box>
              <Box>{item.a}</Box>
-              {item.id && (
-                <Box
-                  className="edit"
-                  display={'none'}
-                  position={'absolute'}
-                  right={0}
-                  top={0}
-                  bottom={0}
-                  w={'40px'}
-                  bg={'rgba(255,255,255,0.9)'}
-                  alignItems={'center'}
-                  justifyContent={'center'}
-                  boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
-                >
-                  <MyIcon
-                    name={'edit'}
-                    w={'18px'}
-                    h={'18px'}
-                    cursor={'pointer'}
-                    color={'myGray.600'}
-                    _hover={{
-                      color: 'myBlue.700'
-                    }}
-                    onClick={() => onclickEdit(item)}
-                  />
-                </Box>
-              )}
+              <Box
+                className="edit"
+                display={'none'}
+                position={'absolute'}
+                right={0}
+                top={0}
+                bottom={0}
+                w={'40px'}
+                bg={'rgba(255,255,255,0.9)'}
+                alignItems={'center'}
+                justifyContent={'center'}
+                boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
+              >
+                <MyIcon
+                  name={'edit'}
+                  w={'18px'}
+                  h={'18px'}
+                  cursor={'pointer'}
+                  color={'myGray.600'}
+                  _hover={{
+                    color: 'myBlue.700'
+                  }}
+                  onClick={() => onclickEdit(item)}
+                />
+              </Box>
            </Box>
          ))}
        </ModalBody>
--- a/client/src/components/ChatBox/ReadFeedbackModal.tsx
+++ b/client/src/components/ChatBox/ReadFeedbackModal.tsx
@@ -1,55 +0,0 @@
-import React from 'react';
-import { ModalBody, ModalFooter, Button } from '@chakra-ui/react';
-import MyModal from '../MyModal';
-import { useRequest } from '@/hooks/useRequest';
-import { useTranslation } from 'next-i18next';
-import { userUpdateChatFeedback } from '@/api/chat';
-
-const ReadFeedbackModal = ({
-  chatItemId,
-  content,
-  isMarked,
-  onMark,
-  onSuccess,
-  onClose
-}: {
-  chatItemId: string;
-  content: string;
-  isMarked: boolean;
-  onMark: () => void;
-  onSuccess: () => void;
-  onClose: () => void;
-}) => {
-  const { t } = useTranslation();
-
-  const { mutate, isLoading } = useRequest({
-    mutationFn: async () => {
-      return userUpdateChatFeedback({
-        chatItemId,
-        userFeedback: undefined
-      });
-    },
-    onSuccess() {
-      onSuccess();
-    },
-    errorToast: t('chat.Feedback Update Failed')
-  });
-
-  return (
-    <MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
-      <ModalBody>{content}</ModalBody>
-      <ModalFooter>
-        {!isMarked && (
-          <Button variant={'base'} mr={2} onClick={onMark}>
-            {t('chat.Feedback Mark')}
-          </Button>
-        )}
-        <Button isLoading={isLoading} onClick={mutate}>
-          {t('chat.Feedback Close')}
-        </Button>
-      </ModalFooter>
-    </MyModal>
-  );
-};
-
-export default React.memo(ReadFeedbackModal);
--- a/client/src/components/ChatBox/ResponseDetailModal.tsx
+++ b/client/src/components/ChatBox/ResponseDetailModal.tsx
@@ -1,17 +1,14 @@
 import React, { useCallback, useMemo, useState } from 'react';
 import { ChatModuleEnum } from '@/constants/chat';
 import { ChatHistoryItemResType, ChatItemType, QuoteItemType } from '@/types/chat';
-import { Flex, BoxProps, useDisclosure } from '@chakra-ui/react';
-import { useTranslation } from 'react-i18next';
-import { useGlobalStore } from '@/store/global';
+import { Flex, BoxProps } from '@chakra-ui/react';
 import dynamic from 'next/dynamic';
 import Tag from '../Tag';
 import MyTooltip from '../MyTooltip';
 const QuoteModal = dynamic(() => import('./QuoteModal'), { ssr: false });
 const ContextModal = dynamic(() => import('./ContextModal'), { ssr: false });
-const WholeResponseModal = dynamic(() => import('./WholeResponseModal'), { ssr: false });

-const ResponseTags = ({
+const ResponseDetailModal = ({
  chatId,
  contentId,
  responseData = []
@@ -20,30 +17,28 @@ const ResponseTags = ({
  contentId?: string;
  responseData?: ChatHistoryItemResType[];
 }) => {
-  const { isPc } = useGlobalStore();
-  const { t } = useTranslation();
  const [quoteModalData, setQuoteModalData] = useState<QuoteItemType[]>();
  const [contextModalData, setContextModalData] = useState<ChatItemType[]>();
-  const {
-    isOpen: isOpenWholeModal,
-    onOpen: onOpenWholeModal,
-    onClose: onCloseWholeModal
-  } = useDisclosure();

  const {
+    tokens = 0,
    quoteList = [],
-    completeMessages = [],
-    tokens = 0
+    completeMessages = []
  } = useMemo(() => {
    const chatData = responseData.find((item) => item.moduleName === ChatModuleEnum.AIChat);
    if (!chatData) return {};
    return {
+      tokens: chatData.tokens,
      quoteList: chatData.quoteList,
-      completeMessages: chatData.completeMessages,
-      tokens: responseData.reduce((sum, item) => sum + (item.tokens || 0), 0)
+      completeMessages: chatData.completeMessages
    };
  }, [responseData]);

+  const isEmpty = useMemo(
+    () => quoteList.length === 0 && completeMessages.length === 0 && tokens === 0,
+    [completeMessages.length, quoteList.length, tokens]
+  );
+
  const updateQuote = useCallback(async (quoteId: string, sourceText: string) => {}, []);

  const TagStyles: BoxProps = {
@@ -51,7 +46,7 @@ const ResponseTags = ({
    bg: 'transparent'
  };

-  return responseData.length === 0 ? null : (
+  return isEmpty ? null : (
    <Flex alignItems={'center'} mt={2} flexWrap={'wrap'}>
      {quoteList.length > 0 && (
        <MyTooltip label="查看引用">
@@ -77,17 +72,11 @@ const ResponseTags = ({
          </Tag>
        </MyTooltip>
      )}
-      {isPc && tokens > 0 && (
-        <Tag colorSchema="purple" cursor={'default'} {...TagStyles}>
-          {tokens}Tokens
+      {tokens > 0 && (
+        <Tag colorSchema="gray" cursor={'default'} {...TagStyles}>
+          {tokens}tokens
        </Tag>
      )}
-      <MyTooltip label={'点击查看完整响应值'}>
-        <Tag colorSchema="gray" cursor={'pointer'} {...TagStyles} onClick={onOpenWholeModal}>
-          {t('chat.Complete Response')}
-        </Tag>
-      </MyTooltip>
-
      {!!quoteModalData && (
        <QuoteModal
          rawSearch={quoteModalData}
@@ -98,11 +87,8 @@ const ResponseTags = ({
      {!!contextModalData && (
        <ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
      )}
-      {isOpenWholeModal && (
-        <WholeResponseModal response={responseData} onClose={onCloseWholeModal} />
-      )}
    </Flex>
  );
 };

-export default ResponseTags;
+export default ResponseDetailModal;
--- a/client/src/components/ChatBox/SelectDataset.tsx
+++ b/client/src/components/ChatBox/SelectDataset.tsx
@@ -1,117 +0,0 @@
-import React, { useRef, useState } from 'react';
-import {
-  ModalBody,
-  useTheme,
-  ModalFooter,
-  Button,
-  ModalHeader,
-  Box,
-  Card,
-  Flex
-} from '@chakra-ui/react';
-import MyModal from '../MyModal';
-import { useTranslation } from 'next-i18next';
-import { useQuery } from '@tanstack/react-query';
-import { useUserStore } from '@/store/user';
-import { useToast } from '@/hooks/useToast';
-import Avatar from '../Avatar';
-import MyIcon from '@/components/Icon';
-import { useGlobalStore } from '@/store/global';
-
-const SelectDataset = ({
-  onSuccess,
-  onClose
-}: {
-  onSuccess: (kbId: string) => void;
-  onClose: () => void;
-}) => {
-  const { t } = useTranslation();
-  const theme = useTheme();
-  const { isPc } = useGlobalStore();
-  const { toast } = useToast();
-  const { myKbList, loadKbList } = useUserStore();
-  const [selectedId, setSelectedId] = useState<string>();
-
-  useQuery(['loadKbList'], loadKbList);
-
-  return (
-    <MyModal isOpen={true} onClose={onClose} w={'100%'} maxW={['90vw', '900px']} isCentered={!isPc}>
-      <Flex flexDirection={'column'} h={['90vh', 'auto']}>
-        <ModalHeader>
-          <Box>{t('chat.Select Mark Kb')}</Box>
-          <Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
-            {t('chat.Select Mark Kb Desc')}
-          </Box>
-        </ModalHeader>
-        <ModalBody
-          flex={['1 0 0', '0 0 auto']}
-          maxH={'80vh'}
-          overflowY={'auto'}
-          display={'grid'}
-          gridTemplateColumns={['repeat(1,1fr)', 'repeat(2,1fr)', 'repeat(3,1fr)']}
-          gridGap={3}
-          userSelect={'none'}
-        >
-          {myKbList.map((item) =>
-            (() => {
-              const selected = selectedId === item._id;
-              return (
-                <Card
-                  key={item._id}
-                  p={3}
-                  border={theme.borders.base}
-                  boxShadow={'sm'}
-                  h={'80px'}
-                  cursor={'pointer'}
-                  _hover={{
-                    boxShadow: 'md'
-                  }}
-                  {...(selected
-                    ? {
-                        bg: 'myBlue.300'
-                      }
-                    : {})}
-                  onClick={() => {
-                    setSelectedId(item._id);
-                  }}
-                >
-                  <Flex alignItems={'center'} h={'38px'}>
-                    <Avatar src={item.avatar} w={['24px', '28px', '32px']}></Avatar>
-                    <Box ml={3} fontWeight={'bold'} fontSize={['md', 'lg', 'xl']}>
-                      {item.name}
-                    </Box>
-                  </Flex>
-                  <Flex justifyContent={'flex-end'} alignItems={'center'} fontSize={'sm'}>
-                    <MyIcon mr={1} name="kbTest" w={'12px'} />
-                    <Box color={'myGray.500'}>{item.vectorModel.name}</Box>
-                  </Flex>
-                </Card>
-              );
-            })()
-          )}
-        </ModalBody>
-        <ModalFooter>
-          <Button variant={'base'} mr={2} onClick={onClose}>
-            {t('Cancel')}
-          </Button>
-          <Button
-            onClick={() => {
-              if (!selectedId) {
-                return toast({
-                  status: 'warning',
-                  title: t('Select value is empty')
-                });
-              }
-
-              onSuccess(selectedId);
-            }}
-          >
-            {t('Confirm')}
-          </Button>
-        </ModalFooter>
-      </Flex>
-    </MyModal>
-  );
-};
-
-export default SelectDataset;
--- a/client/src/components/ChatBox/WholeResponseModal.tsx
+++ b/client/src/components/ChatBox/WholeResponseModal.tsx
@@ -1,71 +0,0 @@
-import React, { useMemo } from 'react';
-import { Box, ModalBody, useTheme, ModalHeader, Flex } from '@chakra-ui/react';
-import type { ChatHistoryItemResType } from '@/types/chat';
-import { useTranslation } from 'react-i18next';
-
-import MyModal from '../MyModal';
-import MyTooltip from '../MyTooltip';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-
-const ResponseModal = ({
-  response,
-  onClose
-}: {
-  response: ChatHistoryItemResType[];
-  onClose: () => void;
-}) => {
-  const { t } = useTranslation();
-  const theme = useTheme();
-
-  const formatResponse = useMemo(
-    () =>
-      response.map((item) => {
-        const copy = { ...item };
-        delete copy.completeMessages;
-        delete copy.quoteList;
-        return copy;
-      }),
-    [response]
-  );
-
-  return (
-    <MyModal
-      isOpen={true}
-      onClose={onClose}
-      h={['90vh', '80vh']}
-      minW={['90vw', '600px']}
-      title={
-        <Flex alignItems={'center'}>
-          {t('chat.Complete Response')}
-          <MyTooltip
-            label={
-              'moduleName: 模型名\nprice: 价格，倍率：100000\nmodel?: 模型名\ntokens?: token 消耗\n\nanswer?: 回答内容\nquestion?: 问题\ntemperature?: 温度\nmaxToken?: 最大 tokens\n\nsimilarity?: 相似度\nlimit?: 单次搜索结果\n\ncqList?: 问题分类列表\ncqResult?: 分类结果\n\nextractDescription?: 内容提取描述\nextractResult?: 提取结果'
-            }
-          >
-            <QuestionOutlineIcon ml={2} />
-          </MyTooltip>
-        </Flex>
-      }
-      isCentered
-    >
-      <ModalBody>
-        {formatResponse.map((item, i) => (
-          <Box
-            key={i}
-            p={2}
-            pt={[0, 2]}
-            borderRadius={'lg'}
-            border={theme.borders.base}
-            _notLast={{ mb: 2 }}
-            position={'relative'}
-            whiteSpace={'pre-wrap'}
-          >
-            {JSON.stringify(item, null, 2)}
-          </Box>
-        ))}
-      </ModalBody>
-    </MyModal>
-  );
-};
-
-export default ResponseModal;
--- a/client/src/components/ChatBox/index.tsx
+++ b/client/src/components/ChatBox/index.tsx
@@ -25,6 +25,7 @@ import {
 } from '@/utils/tools';
 import { Box, Card, Flex, Input, Textarea, Button, useTheme, BoxProps } from '@chakra-ui/react';
 import { feConfigs } from '@/store/static';
+import { Types } from 'mongoose';
 import { EventNameEnum } from '../Markdown/constant';

 import { adaptChatItem_openAI } from '@/utils/plugin/openai';
@@ -39,8 +40,6 @@ import { useRouter } from 'next/router';
 import { useGlobalStore } from '@/store/global';
 import { TaskResponseKeyEnum, getDefaultChatVariables } from '@/constants/chat';
 import { useTranslation } from 'react-i18next';
-import { customAlphabet } from 'nanoid';
-import { userUpdateChatFeedback, adminUpdateChatFeedback } from '@/api/chat';

 import MyIcon from '@/components/Icon';
 import Avatar from '@/components/Avatar';
@@ -48,20 +47,13 @@ import Markdown from '@/components/Markdown';
 import MySelect from '@/components/Select';
 import MyTooltip from '../MyTooltip';
 import dynamic from 'next/dynamic';
-const ResponseTags = dynamic(() => import('./ResponseTags'));
-const FeedbackModal = dynamic(() => import('./FeedbackModal'));
-const ReadFeedbackModal = dynamic(() => import('./ReadFeedbackModal'));
-const SelectDataset = dynamic(() => import('./SelectDataset'));
-const InputDataModal = dynamic(() => import('@/pages/kb/detail/components/InputDataModal'));
+const ResponseDetailModal = dynamic(() => import('./ResponseDetailModal'));

 import styles from './index.module.scss';

-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 24);
-
 const textareaMinH = '22px';
 type generatingMessageProps = { text?: string; name?: string; status?: 'running' | 'finish' };
 export type StartChatFnProps = {
-  chatList: ChatSiteItemType[];
  messages: MessageItemType[];
  controller: AbortController;
  variables: Record<string, any>;
@@ -128,7 +120,6 @@ const ChatAvatar = ({ src, type }: { src?: string; type: 'Human' | 'AI' }) => {

 const ChatBox = (
  {
-    isLogs = false,
    showEmptyIntro = false,
    chatId,
    appAvatar,
@@ -139,7 +130,6 @@ const ChatBox = (
    onStartChat,
    onDelMessage
  }: {
-    isLogs?: boolean;
    showEmptyIntro?: boolean;
    chatId?: string;
    appAvatar?: string;
@@ -147,7 +137,7 @@ const ChatBox = (
    variableModules?: VariableItemType[];
    welcomeText?: string;
    onUpdateVariable?: (e: Record<string, any>) => void;
-    onStartChat?: (e: StartChatFnProps) => Promise<{
+    onStartChat: (e: StartChatFnProps) => Promise<{
      responseText: string;
      [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
    }>;
@@ -168,19 +158,6 @@ const ChatBox = (
  const [refresh, setRefresh] = useState(false);
  const [variables, setVariables] = useState<Record<string, any>>({});
  const [chatHistory, setChatHistory] = useState<ChatSiteItemType[]>([]);
-  const [feedbackId, setFeedbackId] = useState<string>();
-  const [readFeedbackData, setReadFeedbackData] = useState<{
-    chatItemId: string;
-    content: string;
-    isMarked: boolean;
-  }>();
-  const [adminMarkData, setAdminMarkData] = useState<{
-    kbId?: string;
-    chatItemId: string;
-    dataId?: string;
-    q: string;
-    a: string;
-  }>();

  const isChatting = useMemo(
    () =>
@@ -258,7 +235,8 @@ const ChatBox = (
  // 复制内容
  const onclickCopy = useCallback(
    (value: string) => {
-      copyData(value);
+      const val = value.replace(/\n+/g, '\n');
+      copyData(val);
    },
    [copyData]
  );
@@ -282,7 +260,6 @@ const ChatBox = (
   */
  const sendPrompt = useCallback(
    async (variables: Record<string, any> = {}, inputVal = '') => {
-      if (!onStartChat) return;
      if (isChatting) {
        toast({
          title: '正在聊天中...请等待结束',
@@ -291,7 +268,7 @@ const ChatBox = (
        return;
      }
      // get input value
-      const val = inputVal.trim();
+      const val = inputVal.trim().replace(/\n\s*/g, '\n');

      if (!val) {
        toast({
@@ -304,13 +281,13 @@ const ChatBox = (
      const newChatList: ChatSiteItemType[] = [
        ...chatHistory,
        {
-          dataId: nanoid(),
+          _id: String(new Types.ObjectId()),
          obj: 'Human',
          value: val,
          status: 'finish'
        },
        {
-          dataId: nanoid(),
+          _id: String(new Types.ObjectId()),
          obj: 'AI',
          value: '',
          status: 'loading'
@@ -334,7 +311,6 @@ const ChatBox = (
        const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });

        const { responseData } = await onStartChat({
-          chatList: newChatList,
          messages,
          controller: abortSignal,
          generatingMessage,
@@ -428,7 +404,7 @@ const ChatBox = (
  const controlContainerStyle = {
    className: 'control',
    color: 'myGray.400',
-    display: isLogs ? 'flex' : ['flex', 'none'],
+    display: ['flex', 'none'],
    pl: 1,
    mt: 2
  };
@@ -574,7 +550,7 @@ const ChatBox = (
            {chatHistory.map((item, index) => (
              <Flex
                position={'relative'}
-                key={item.dataId}
+                key={item._id}
                flexDirection={'column'}
                alignItems={item.obj === 'Human' ? 'flex-end' : 'flex-start'}
                py={5}
@@ -605,10 +581,10 @@ const ChatBox = (
                              _hover={{ color: 'red.600' }}
                              onClick={() => {
                                setChatHistory((state) =>
-                                  state.filter((chat) => chat.dataId !== item.dataId)
+                                  state.filter((chat) => chat._id !== item._id)
                                );
                                onDelMessage({
-                                  contentId: item.dataId,
+                                  contentId: item._id,
                                  index
                                });
                              }}
@@ -652,17 +628,17 @@ const ChatBox = (
                              _hover={{ color: 'red.600' }}
                              onClick={() => {
                                setChatHistory((state) =>
-                                  state.filter((chat) => chat.dataId !== item.dataId)
+                                  state.filter((chat) => chat._id !== item._id)
                                );
                                onDelMessage({
-                                  contentId: item.dataId,
+                                  contentId: item._id,
                                  index
                                });
                              }}
                            />
                          </MyTooltip>
                        )}
-                        {!isLogs && hasVoiceApi && (
+                        {hasVoiceApi && (
                          <MyTooltip label={'语音播报'}>
                            <MyIcon
                              {...controlIconStyle}
@@ -672,93 +648,7 @@ const ChatBox = (
                            />
                          </MyTooltip>
                        )}
-                        {/* admin mark icon */}
-                        {isLogs && (
-                          <MyTooltip label={t('chat.Mark')}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              name={'markLight'}
-                              _hover={{ color: '#67c13b' }}
-                              onClick={() => {
-                                if (!item.dataId) return;
-                                if (item.adminFeedback) {
-                                  setAdminMarkData({
-                                    chatItemId: item.dataId,
-                                    kbId: item.adminFeedback.kbId,
-                                    dataId: item.adminFeedback.dataId,
-                                    q: chatHistory[index - 1]?.value || '',
-                                    a: item.adminFeedback.content
-                                  });
-                                } else {
-                                  setAdminMarkData({
-                                    chatItemId: item.dataId,
-                                    q: chatHistory[index - 1]?.value || '',
-                                    a: item.value
-                                  });
-                                }
-                              }}
-                            />
-                          </MyTooltip>
-                        )}
-                        {/* user feed back icon */}
-                        {item.dataId &&
-                          (isLogs ? (
-                            <MyTooltip label={t('chat.Read User Feedback')}>
-                              <MyIcon
-                                display={item.userFeedback ? 'block' : 'none'}
-                                {...controlIconStyle}
-                                color={'white'}
-                                bg={'#FC9663'}
-                                fontWeight={'bold'}
-                                name={'badLight'}
-                                onClick={() =>
-                                  setReadFeedbackData({
-                                    chatItemId: item.dataId || '',
-                                    content: item.userFeedback || '',
-                                    isMarked: !!item.adminFeedback
-                                  })
-                                }
-                              />
-                            </MyTooltip>
-                          ) : (
-                            <MyTooltip
-                              label={
-                                item.userFeedback
-                                  ? `取消反馈。\n您当前反馈内容为:\n${item.userFeedback}`
-                                  : '反馈'
-                              }
-                            >
-                              <MyIcon
-                                {...controlIconStyle}
-                                {...(!!item.userFeedback
-                                  ? {
-                                      color: 'white',
-                                      bg: '#FC9663',
-                                      fontWeight: 'bold',
-                                      onClick: () => {
-                                        if (!item.dataId) return;
-                                        setChatHistory((state) =>
-                                          state.map((chatItem) =>
-                                            chatItem.dataId === item.dataId
-                                              ? { ...chatItem, userFeedback: undefined }
-                                              : chatItem
-                                          )
-                                        );
-                                        try {
-                                          userUpdateChatFeedback({ chatItemId: item.dataId });
-                                        } catch (error) {}
-                                      }
-                                    }
-                                  : {
-                                      _hover: { color: '#FB7C3C' },
-                                      onClick: () => setFeedbackId(item.dataId)
-                                    })}
-                                name={'badLight'}
-                              />
-                            </MyTooltip>
-                          ))}
                      </Flex>
-                      {/* chatting status */}
                      {statusBoxData && index === chatHistory.length - 1 && (
                        <Flex
                          ml={3}
@@ -788,24 +678,11 @@ const ChatBox = (
                          source={item.value}
                          isChatting={index === chatHistory.length - 1 && isChatting}
                        />
-                        <ResponseTags
+                        <ResponseDetailModal
                          chatId={chatId}
-                          contentId={item.dataId}
+                          contentId={item._id}
                          responseData={item.responseData}
                        />
-                        {/* admin mark content */}
-                        {isLogs && item.adminFeedback && (
-                          <Box>
-                            <Flex alignItems={'center'} py={2}>
-                              <MyIcon name={'markLight'} w={'14px'} color={'myGray.900'} />
-                              <Box ml={2} color={'myGray.500'}>
-                                {t('chat.Admin Mark Content')}
-                              </Box>
-                              <Box h={'1px'} bg={'myGray.300'} flex={'1'} />
-                            </Flex>
-                            <Box>{item.adminFeedback.content}</Box>
-                          </Box>
-                        )}
                      </Card>
                    </Box>
                  </>
@@ -816,7 +693,7 @@ const ChatBox = (
        </Box>
      </Box>
      {/* input */}
-      {onStartChat && variableIsFinish ? (
+      {variableIsFinish ? (
        <Box m={['0 auto', '10px auto']} w={'100%'} maxW={['auto', 'min(750px, 100%)']} px={[0, 5]}>
          <Box
            py={'18px'}
@@ -900,115 +777,6 @@ const ChatBox = (
          </Box>
        </Box>
      ) : null}
-
-      {/* user feedback modal */}
-      {!!feedbackId && (
-        <FeedbackModal
-          chatItemId={feedbackId}
-          onClose={() => setFeedbackId(undefined)}
-          onSuccess={(content: string) => {
-            setChatHistory((state) =>
-              state.map((item) =>
-                item.dataId === feedbackId ? { ...item, userFeedback: content } : item
-              )
-            );
-            setFeedbackId(undefined);
-          }}
-        />
-      )}
-      {/* admin read feedback modal */}
-      {!!readFeedbackData && (
-        <ReadFeedbackModal
-          {...readFeedbackData}
-          onClose={() => setReadFeedbackData(undefined)}
-          onMark={() => {
-            const index = chatHistory.findIndex(
-              (item) => item.dataId === readFeedbackData.chatItemId
-            );
-            if (index === -1) return setReadFeedbackData(undefined);
-            setAdminMarkData({
-              chatItemId: readFeedbackData.chatItemId,
-              q: chatHistory[index - 1]?.value || '',
-              a: chatHistory[index]?.value || ''
-            });
-          }}
-          onSuccess={() => {
-            setChatHistory((state) =>
-              state.map((chatItem) =>
-                chatItem.dataId === readFeedbackData.chatItemId
-                  ? { ...chatItem, userFeedback: undefined }
-                  : chatItem
-              )
-            );
-            setReadFeedbackData(undefined);
-          }}
-        />
-      )}
-      {/* select one dataset to insert markData */}
-      {adminMarkData && !adminMarkData.kbId && (
-        <SelectDataset
-          onClose={() => setAdminMarkData(undefined)}
-          // @ts-ignore
-          onSuccess={(kbId) => setAdminMarkData((state) => ({ ...state, kbId }))}
-        />
-      )}
-      {/* edit markData modal */}
-      {adminMarkData && adminMarkData.kbId && (
-        <InputDataModal
-          onClose={() => setAdminMarkData(undefined)}
-          onSuccess={async (data) => {
-            if (!adminMarkData.kbId || !data.dataId) {
-              return setAdminMarkData(undefined);
-            }
-            const adminFeedback = {
-              kbId: adminMarkData.kbId,
-              dataId: data.dataId,
-              content: data.a
-            };
-
-            // update dom
-            setChatHistory((state) =>
-              state.map((chatItem) =>
-                chatItem.dataId === adminMarkData.chatItemId
-                  ? {
-                      ...chatItem,
-                      adminFeedback
-                    }
-                  : chatItem
-              )
-            );
-            // request to update adminFeedback
-            try {
-              adminUpdateChatFeedback({
-                chatItemId: adminMarkData.chatItemId,
-                ...adminFeedback
-              });
-
-              if (readFeedbackData) {
-                userUpdateChatFeedback({
-                  chatItemId: readFeedbackData.chatItemId,
-                  userFeedback: undefined
-                });
-                setChatHistory((state) =>
-                  state.map((chatItem) =>
-                    chatItem.dataId === readFeedbackData.chatItemId
-                      ? { ...chatItem, userFeedback: undefined }
-                      : chatItem
-                  )
-                );
-                setReadFeedbackData(undefined);
-              }
-            } catch (error) {}
-            setAdminMarkData(undefined);
-          }}
-          kbId={adminMarkData.kbId}
-          defaultValues={{
-            dataId: adminMarkData.dataId,
-            q: adminMarkData.q,
-            a: adminMarkData.a
-          }}
-        />
-      )}
    </Flex>
  );
 };
--- a/client/src/components/Icon/icons/light/bad.svg
+++ b/client/src/components/Icon/icons/light/bad.svg
--- a/client/src/components/Icon/icons/light/logs.svg
+++ b/client/src/components/Icon/icons/light/logs.svg
@@ -1,14 +0,0 @@
-<?xml version="1.0" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1692867122828"
-    class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4021"
-    xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64">
-    <path
-        d="M269.844659 81.4308h44.821057v166.626082h-44.821057zM677.140966 491.719232c52.335426 0 102.092273 19.937769 140.105639 56.13883 38.126482 36.31053 60.461599 85.284073 62.891788 137.900467 2.5056 54.276658-16.27424 106.280032-52.881549 146.431672-36.60731 40.15164-86.65972 63.643469-140.936379 66.150285-3.180653 0.147174-6.401444 0.221369-9.576016 0.221369-52.341508 0-102.102004-19.936552-140.114153-56.136398-38.126482-36.309314-60.461599-85.284073-62.891789-137.902899-2.5056-54.276658 16.27424-106.280032 52.88155-146.431672 36.60731-40.15164 86.65972-63.643469 140.936379-66.149069a208.122961 208.122961 0 0 1 9.576016-0.221369h0.008514m-0.00973-44.822274c-3.859355 0-7.746684 0.088791-11.642528 0.268805-136.951744 6.3236-242.847422 122.470346-236.525038 259.422091 6.143586 133.0559 115.942406 236.793842 247.779562 236.793842 3.859355 0 7.747901-0.088791 11.642529-0.268804 136.951744-6.322384 242.847422-122.470346 236.525037-259.422091-6.143586-133.057117-115.942406-236.798708-247.779562-236.793843z"
-        p-id="4022"></path>
-    <path
-        d="M490.264524 891.110734a272.361206 272.361206 0 0 1-32.682275-37.369937H180.453104c-20.912034 0-37.927007-17.013757-37.927007-37.92579v-590.263526c0-20.912034 17.013757-37.927007 37.927007-37.927007H732.799354c20.912034 0 37.925791 17.013757 37.925791 37.927007V441.15597a268.605238 268.605238 0 0 1 44.821057 21.463023V225.551481c0-45.70045-37.047614-82.746848-82.746848-82.746849H180.453104c-45.70045 0-82.746848 37.047614-82.746848 82.746849v590.263526c0 45.70045 37.047614 82.746848 82.746848 82.746848h317.980164a273.587248 273.587248 0 0 1-8.168744-7.451121z"
-        p-id="4023"></path>
-    <path
-        d="M770.725145 489.61623a225.243754 225.243754 0 0 1 44.821057 27.231985v-0.21407a225.182938 225.182938 0 0 0-44.821057-27.114003v0.096088zM812.590566 778.530212H646.820768V576.105667h44.821057v157.604704h120.948741zM209.55091 380.121489h498.255687v44.821057H209.55091zM600.682445 81.4308h44.821058v166.626082h-44.821058zM406.842623 712.17437H209.55091v44.821057h203.864657a272.351476 272.351476 0 0 1-6.572944-44.821057zM450.941192 546.147929H209.55091v44.821057h217.435038a268.707408 268.707408 0 0 1 23.955244-44.821057z"
-        p-id="4024"></path>
-</svg>
--- a/client/src/components/Icon/icons/light/mark.svg
+++ b/client/src/components/Icon/icons/light/mark.svg
@@ -1 +0,0 @@
-<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1693123058703" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="16328" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M875.65 912h-380a36 36 0 0 1 0-72h380a36 36 0 1 1 0 72zM812.26 284.82L285.39 811.69l-88.11 15.1L212 738l526.72-526.72 73.54 73.54m90.51-11.31L750 120.77a16 16 0 0 0-22.62 0L152.5 695.68a34.11 34.11 0 0 0-9.5 18.56l-25.95 156.23a32 32 0 0 0 37 36.78l155.38-26.62a34.2 34.2 0 0 0 18.38-9.52l575-575a16 16 0 0 0 0-22.63z" p-id="16329"></path></svg>
--- a/client/src/components/Icon/icons/light/promotion.svg
+++ b/client/src/components/Icon/icons/light/promotion.svg
@@ -1,8 +0,0 @@
-<?xml version="1.0" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1692522401431"
-    class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4063"
-    xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64">
-    <path
-        d="M855 789.1V127.4L633 274.9H169V641h81l59.5 255.7H508L448.4 641H633l222 148.1z m-46-86l-146-97.5V310.2l146-97v489.9zM450 850.6H346L297.1 641h104L450 850.6zM239.2 595H215V320.9h274V595H239.2z m377.8 0h-82V320.9h82V595z"
-        p-id="4064"></path>
-</svg>
--- a/client/src/components/Icon/index.tsx
+++ b/client/src/components/Icon/index.tsx
@@ -75,11 +75,7 @@ const map = {
  outlink_iframe: require('./icons/outlink/iframe.svg').default,
  addCircle: require('./icons/circle/add.svg').default,
  playFill: require('./icons/fill/play.svg').default,
-  courseLight: require('./icons/light/course.svg').default,
-  promotionLight: require('./icons/light/promotion.svg').default,
-  logsLight: require('./icons/light/logs.svg').default,
-  badLight: require('./icons/light/bad.svg').default,
-  markLight: require('./icons/light/mark.svg').default
+  courseLight: require('./icons/light/course.svg').default
 };

 export type IconName = keyof typeof map;
--- a/client/src/components/Markdown/Link.tsx
+++ b/client/src/components/Markdown/Link.tsx
@@ -0,0 +1,32 @@
+import React, { useMemo } from 'react';
+import { Box } from '@chakra-ui/react';
+import Image from './img/Image';
+
+const regex = /((http|https|ftp):\/\/[^\s\u4e00-\u9fa5\u3000-\u303f\uff00-\uffef]+)/gi;
+
+const Link = (props: { href?: string; children?: any }) => {
+  const Html = useMemo(() => {
+    const decText = decodeURIComponent(props.href || '');
+
+    return decText.replace(regex, (match, p1) => {
+      let text = decText === props.children?.[0] ? p1 : props.children?.[0];
+      const isInternal = /^\/#/i.test(p1);
+      const target = isInternal ? '_self' : '_blank';
+
+      if (props?.children?.[0]?.props?.node?.tagName === 'img') {
+        // eslint-disable-next-line @next/next/no-img-element
+        text = `<img src="${props?.children?.[0]?.props?.src}" />`;
+      }
+
+      return `<a href="${p1}" target=${target}>${text}</a>`;
+    });
+  }, [props.children, props.href]);
+
+  return typeof Html === 'string' ? (
+    <Box as={'span'} dangerouslySetInnerHTML={{ __html: Html }} />
+  ) : (
+    Html
+  );
+};
+
+export default React.memo(Link);
--- a/client/src/components/Markdown/index.tsx
+++ b/client/src/components/Markdown/index.tsx
@@ -9,6 +9,7 @@ import 'katex/dist/katex.min.css';
 import styles from './index.module.scss';
 import dynamic from 'next/dynamic';

+import Link from './Link';
 import CodeLight from './CodeLight';

 const MermaidCodeBlock = dynamic(() => import('./img/MermaidCodeBlock'));
@@ -49,6 +50,7 @@ const Markdown = ({
 }) => {
  const components = useMemo(
    () => ({
+      a: Link,
      img: Image,
      pre: 'div',
      p: 'div',
@@ -66,7 +68,6 @@ const Markdown = ({
      rehypePlugins={[RehypeKatex]}
      // @ts-ignore
      components={components}
-      linkTarget={'_blank'}
    >
      {source}
    </ReactMarkdown>
--- a/client/src/components/SideTabs/index.tsx
+++ b/client/src/components/SideTabs/index.tsx
@@ -1,7 +1,8 @@
 import React, { useMemo } from 'react';
-import { Box, Flex } from '@chakra-ui/react';
+import { Box, Flex, useTheme } from '@chakra-ui/react';
 import type { GridProps } from '@chakra-ui/react';
 import MyIcon, { type IconName } from '../Icon';
+import { useTranslation } from 'next-i18next';

 // @ts-ignore
 export interface Props extends GridProps {
@@ -12,6 +13,7 @@ export interface Props extends GridProps {
 }

 const SideTabs = ({ list, size = 'md', activeId, onChange, ...props }: Props) => {
+  const { t } = useTranslation();
  const sizeMap = useMemo(() => {
    switch (size) {
      case 'sm':
@@ -61,7 +63,7 @@ const SideTabs = ({ list, size = 'md', activeId, onChange, ...props }: Props) =>
          }}
        >
          <MyIcon mr={2} name={item.icon as IconName} w={'16px'} />
-          {item.label}
+          {t(item.label)}
        </Flex>
      ))}
    </Box>
--- a/client/src/components/Tabs/index.tsx
+++ b/client/src/components/Tabs/index.tsx
@@ -42,7 +42,6 @@ const Tabs = ({ list, size = 'md', activeId, onChange, ...props }: Props) => {
      p={sizeMap.outP}
      borderRadius={'sm'}
      fontSize={sizeMap.fontSize}
-      overflowX={'auto'}
      {...props}
    >
      {list.map((item) => (
@@ -51,8 +50,6 @@ const Tabs = ({ list, size = 'md', activeId, onChange, ...props }: Props) => {
          py={sizeMap.inlineP}
          textAlign={'center'}
          borderBottom={'2px solid transparent'}
-          px={3}
-          whiteSpace={'nowrap'}
          {...(activeId === item.id
            ? {
                color: 'myBlue.700',
--- a/client/src/components/Tag/index.tsx
+++ b/client/src/components/Tag/index.tsx
@@ -3,7 +3,7 @@ import { Flex, type FlexProps } from '@chakra-ui/react';

 interface Props extends FlexProps {
  children: React.ReactNode | React.ReactNode[];
-  colorSchema?: 'blue' | 'green' | 'gray' | 'purple';
+  colorSchema?: 'blue' | 'green' | 'gray';
 }

 const Tag = ({ children, colorSchema = 'blue', ...props }: Props) => {
@@ -19,11 +19,6 @@ const Tag = ({ children, colorSchema = 'blue', ...props }: Props) => {
        bg: '#f8fff8',
        color: '#67c13b'
      },
-      purple: {
-        borderColor: '#A558C9',
-        bg: '#F6EEFA',
-        color: '#A558C9'
-      },
      gray: {
        borderColor: '#979797',
        bg: '#F7F7F7',
--- a/client/src/constants/chat.ts
+++ b/client/src/constants/chat.ts
@@ -31,7 +31,7 @@ export const ChatRoleMap = {
 };

 export enum ChatSourceEnum {
-  test = 'test',
+  'test' = 'test',
  online = 'online',
  share = 'share',
  api = 'api'
@@ -39,16 +39,16 @@ export enum ChatSourceEnum {

 export const ChatSourceMap = {
  [ChatSourceEnum.test]: {
-    name: 'chat.logs.test'
+    name: '调试测试'
  },
  [ChatSourceEnum.online]: {
-    name: 'chat.logs.online'
+    name: '在线使用'
  },
  [ChatSourceEnum.share]: {
-    name: 'chat.logs.share'
+    name: '链接分享'
  },
  [ChatSourceEnum.api]: {
-    name: 'chat.logs.api'
+    name: 'API调用'
  }
 };

@@ -56,8 +56,7 @@ export enum ChatModuleEnum {
  'AIChat' = 'AI Chat',
  'KBSearch' = 'KB Search',
  'CQ' = 'Classify Question',
-  'Extract' = 'Content Extract',
-  'Http' = 'Http'
+  'Extract' = 'Content Extract'
 }

 export enum OutLinkTypeEnum {
@@ -65,8 +64,8 @@ export enum OutLinkTypeEnum {
  'iframe' = 'iframe'
 }

-export const HUMAN_ICON = `/icon/human.png`;
-export const LOGO_ICON = `/icon/logo.svg`;
+export const HUMAN_ICON = `https://fastgpt.run/icon/human.png`;
+export const LOGO_ICON = `https://fastgpt.run/icon/logo.png`;

 export const getDefaultChatVariables = () => ({
  cTime: dayjs().format('YYYY/MM/DD HH:mm:ss')
--- a/client/src/constants/flow/ModuleTemplate.ts
+++ b/client/src/constants/flow/ModuleTemplate.ts
@@ -184,9 +184,8 @@ export const ChatModule: FlowModuleTemplateType = {
    {
      key: TaskResponseKeyEnum.answerText,
      label: '模型回复',
-      description: '将在 stream 回复完毕后触发',
-      valueType: FlowValueTypeEnum.string,
-      type: FlowOutputItemTypeEnum.source,
+      description: '直接响应，无需配置',
+      type: FlowOutputItemTypeEnum.hidden,
      targets: []
    },
    {
@@ -218,7 +217,7 @@ export const KBSearchModule: FlowModuleTemplateType = {
      key: 'similarity',
      type: FlowInputItemTypeEnum.slider,
      label: '相似度',
-      value: 0.4,
+      value: 0.8,
      min: 0,
      max: 1,
      step: 0.01,
@@ -281,24 +280,15 @@ export const AnswerModule: FlowModuleTemplateType = {
    Input_Template_TFSwitch,
    {
      key: SpecialInputKeyEnum.answerText,
+      value: '',
      type: FlowInputItemTypeEnum.textarea,
      valueType: FlowValueTypeEnum.string,
-      value: '',
      label: '回复的内容',
      description:
        '可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容'
    }
  ],
-  outputs: [
-    {
-      key: 'finish',
-      label: '回复结束',
-      description: '回复完成后触发',
-      valueType: FlowValueTypeEnum.boolean,
-      type: FlowOutputItemTypeEnum.source,
-      targets: []
-    }
-  ]
+  outputs: []
 };
 export const TFSwitchModule: FlowModuleTemplateType = {
  logo: '',
@@ -340,11 +330,11 @@ export const ClassifyQuestionModule: FlowModuleTemplateType = {
      key: 'systemPrompt',
      type: FlowInputItemTypeEnum.textarea,
      valueType: FlowValueTypeEnum.string,
-      value: '',
      label: '系统提示词',
      description:
        '你可以添加一些特定内容的介绍，从而更好的识别用户的问题类型。这个内容通常是给模型介绍一个它不知道的内容。',
-      placeholder: '例如: \n1. Laf 是一个云函数开发平台……\n2. Sealos 是一个集群操作系统'
+      placeholder: '例如: \n1. Laf 是一个云函数开发平台……\n2. Sealos 是一个集群操作系统',
+      value: ''
    },
    Input_Template_History,
    Input_Template_UserChatInput,
@@ -402,11 +392,12 @@ export const ContextExtractModule: FlowModuleTemplateType = {
      key: ContextExtractEnum.description,
      type: FlowInputItemTypeEnum.textarea,
      valueType: FlowValueTypeEnum.string,
-      value: '',
      label: '提取要求描述',
      description: '写一段提取要求，告诉 AI 需要提取哪些内容',
      required: true,
-      placeholder: '例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间'
+      placeholder:
+        '例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间',
+      value: ''
    },
    Input_Template_History,
    {
@@ -845,7 +836,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
            key: 'similarity',
            type: 'slider',
            label: '相似度',
-            value: 0.4,
+            value: 0.8,
            min: 0,
            max: 1,
            step: 0.01,
--- a/client/src/constants/kb.ts
+++ b/client/src/constants/kb.ts
@@ -3,14 +3,10 @@ import type { KbItemType } from '@/types/plugin';
 export const defaultKbDetail: KbItemType = {
  _id: '',
  userId: '',
-  avatar: '/icon/logo.svg',
+  updateTime: new Date(),
+  avatar: '/icon/logo.png',
  name: '',
  tags: '',
-  vectorModel: {
-    model: 'text-embedding-ada-002',
-    name: 'Embedding-2',
-    price: 0.2,
-    defaultToken: 500,
-    maxToken: 3000
-  }
+  totalData: 0,
+  model: 'text-embedding-ada-002'
 };
--- a/client/src/constants/model.ts
+++ b/client/src/constants/model.ts
@@ -13,7 +13,7 @@ export const defaultApp: AppSchema = {
  userId: 'userId',
  name: '模型加载中',
  type: 'basic',
-  avatar: '/icon/logo.svg',
+  avatar: '/icon/logo.png',
  intro: '',
  updateTime: Date.now(),
  share: {
--- a/client/src/constants/plugin.ts
+++ b/client/src/constants/plugin.ts
@@ -6,5 +6,3 @@ export const TrainingTypeMap = {
  [TrainingModeEnum.qa]: 'qa',
  [TrainingModeEnum.index]: 'index'
 };
-
-export const PgTrainingTableName = 'modeldata';
--- a/client/src/constants/user.ts
+++ b/client/src/constants/user.ts
@@ -16,10 +16,17 @@ export const BillSourceMap: Record<`${BillSourceEnum}`, string> = {
 };

 export enum PromotionEnum {
-  register = 'register',
-  pay = 'pay'
+  invite = 'invite',
+  shareModel = 'shareModel',
+  withdraw = 'withdraw'
 }

+export const PromotionTypeMap = {
+  [PromotionEnum.invite]: '好友充值',
+  [PromotionEnum.shareModel]: '应用分享',
+  [PromotionEnum.withdraw]: '提现'
+};
+
 export enum InformTypeEnum {
  system = 'system'
 }
--- a/client/src/hooks/useSelectFile.tsx
+++ b/client/src/hooks/useSelectFile.tsx
@@ -1,12 +1,8 @@
 import React, { useRef, useCallback } from 'react';
 import { Box } from '@chakra-ui/react';
-import { useToast } from './useToast';
-import { useTranslation } from 'react-i18next';

 export const useSelectFile = (props?: { fileType?: string; multiple?: boolean }) => {
-  const { t } = useTranslation();
  const { fileType = '*', multiple = false } = props || {};
-  const { toast } = useToast();
  const SelectFileDom = useRef<HTMLInputElement>(null);

  const File = useCallback(
@@ -19,18 +15,12 @@ export const useSelectFile = (props?: { fileType?: string; multiple?: boolean })
          multiple={multiple}
          onChange={(e) => {
            if (!e.target.files || e.target.files?.length === 0) return;
-            if (e.target.files.length > 10) {
-              return toast({
-                status: 'warning',
-                title: t('file.Select a maximum of 10 files')
-              });
-            }
            onSelect(Array.from(e.target.files));
          }}
        />
      </Box>
    ),
-    [fileType, multiple, t, toast]
+    [fileType, multiple]
  );

  const onOpen = useCallback(() => {
--- a/client/src/hooks/useSendCode.ts
+++ b/client/src/hooks/useSendCode.ts
@@ -1,11 +1,10 @@
 import { useState, useMemo, useCallback } from 'react';
 import { sendAuthCode } from '@/api/user';
 import { UserAuthTypeEnum } from '@/constants/common';
-import { useToast } from './useToast';
-import { feConfigs } from '@/store/static';
-import { getErrText } from '@/utils/tools';
-
 let timer: any;
+import { useToast } from './useToast';
+import { getClientToken } from '@/utils/plugin/google';
+import { feConfigs } from '@/store/static';

 export const useSendCode = () => {
  const { toast } = useToast();
@@ -46,7 +45,7 @@ export const useSendCode = () => {
        });
      } catch (error: any) {
        toast({
-          title: getErrText(error, '验证码发送异常'),
+          title: error.message || '发送验证码异常',
          status: 'error'
        });
      }
@@ -62,20 +61,3 @@ export const useSendCode = () => {
    codeCountDown
  };
 };
-
-export function getClientToken(googleClientVerKey?: string) {
-  if (!googleClientVerKey || typeof window.grecaptcha === 'undefined' || !window.grecaptcha?.ready)
-    return '';
-  return new Promise<string>((resolve, reject) => {
-    window.grecaptcha.ready(async () => {
-      try {
-        const token = await window.grecaptcha.execute(googleClientVerKey, {
-          action: 'submit'
-        });
-        resolve(token);
-      } catch (error) {
-        reject(error);
-      }
-    });
-  });
-}
--- a/client/src/pages/_app.tsx
+++ b/client/src/pages/_app.tsx
@@ -10,12 +10,11 @@ import NProgress from 'nprogress'; //nprogress module
 import Router from 'next/router';
 import { clientInitData, feConfigs } from '@/store/static';
 import { appWithTranslation, useTranslation } from 'next-i18next';
-import { getLangStore, setLangStore } from '@/utils/i18n';
+import { getLangStore } from '@/utils/i18n';
 import { useRouter } from 'next/router';

 import 'nprogress/nprogress.css';
 import '@/styles/reset.scss';
-import { FeConfigsType } from '@/types';

 //Binding events.
 Router.events.on('routeChangeStart', () => NProgress.start());
@@ -28,43 +27,37 @@ const queryClient = new QueryClient({
    queries: {
      refetchOnWindowFocus: false,
      retry: false,
-      cacheTime: 10
+      cacheTime: 0
    }
  }
 });

 function App({ Component, pageProps }: AppProps) {
  const router = useRouter();
-  const { hiId } = router.query as { hiId?: string };
  const { i18n } = useTranslation();

-  const [scripts, setScripts] = useState<FeConfigsType['scripts']>([]);
  const [googleClientVerKey, setGoogleVerKey] = useState<string>();
+  const [baiduTongjiUrl, setBaiduTongjiUrl] = useState<string>();

  useEffect(() => {
    (async () => {
      const {
-        feConfigs: { scripts, googleClientVerKey }
+        feConfigs: { googleClientVerKey, baiduTongjiUrl }
      } = await clientInitData();
-      setScripts(scripts || []);
      setGoogleVerKey(googleClientVerKey);
+      setBaiduTongjiUrl(baiduTongjiUrl);
    })();
  }, []);

-  useEffect(() => {
-    hiId && localStorage.setItem('inviterId', hiId);
-  }, [hiId]);
-
  useEffect(() => {
    const lang = getLangStore() || 'zh';
    i18n?.changeLanguage?.(lang);
-    setLangStore(lang);
  }, [router.asPath]);

  return (
    <>
      <Head>
-        <title>{feConfigs?.systemTitle || 'FastGPT'}</title>
+        <title>{feConfigs?.systemTitle || 'FastAI'}</title>
        <meta name="description" content="Embedding + LLM, Build AI knowledge base" />
        <meta
          name="viewport"
@@ -75,14 +68,12 @@ function App({ Component, pageProps }: AppProps) {
      <Script src="/js/qrcode.min.js" strategy="lazyOnload"></Script>
      <Script src="/js/pdf.js" strategy="lazyOnload"></Script>
      <Script src="/js/html2pdf.bundle.min.js" strategy="lazyOnload"></Script>
-      {scripts?.map((item, i) => (
-        <Script key={i} strategy="lazyOnload" {...item}></Script>
-      ))}
+      {baiduTongjiUrl && <Script src={baiduTongjiUrl} strategy="lazyOnload"></Script>}
      {googleClientVerKey && (
        <>
          <Script
            src={`https://www.recaptcha.net/recaptcha/api.js?render=${googleClientVerKey}`}
-            strategy="lazyOnload"
+            strategy="afterInteractive"
          ></Script>
        </>
      )}
--- a/client/src/pages/account/components/OpenAIAccountModal.tsx
+++ b/client/src/pages/account/components/OpenAIAccountModal.tsx
@@ -32,7 +32,8 @@ const OpenAIAccountModal = ({
    <MyModal isOpen onClose={onClose} title={t('user.OpenAI Account Setting')}>
      <ModalBody>
        <Box fontSize={'sm'} color={'myGray.500'}>
-          如果你填写了该内容，在线上平台使用 OpenAI Chat 模型不会计费（不包含知识库训练、索引生成）
+          如果你填写了该内容，在线上平台使用 OpenAI Chat
+          模型不会计费（不包含知识库训练、索引生成、分享窗口和 API 调用）
        </Box>
        <Flex alignItems={'center'} mt={5}>
          <Box flex={'0 0 65px'}>API Key:</Box>
--- a/client/src/pages/account/components/PayRecordTable.tsx
+++ b/client/src/pages/account/components/PayRecordTable.tsx
@@ -26,12 +26,6 @@ const PayRecordTable = () => {
  const [payOrders, setPayOrders] = useState<PaySchema[]>([]);
  const { toast } = useToast();

-  const { isInitialLoading, refetch } = useQuery(['initPayOrder'], getPayOrders, {
-    onSuccess(res) {
-      setPayOrders(res);
-    }
-  });
-
  const handleRefreshPayOrder = useCallback(
    async (payId: string) => {
      setIsLoading(true);
@@ -42,6 +36,8 @@ const PayRecordTable = () => {
          title: data,
          status: 'success'
        });
+        const res = await getPayOrders();
+        setPayOrders(res);
      } catch (error: any) {
        toast({
          title: error?.message,
@@ -49,15 +45,18 @@ const PayRecordTable = () => {
        });
        console.log(error);
      }
-      try {
-        refetch();
-      } catch (error) {}

      setIsLoading(false);
    },
-    [refetch, setIsLoading, toast]
+    [setIsLoading, toast]
  );

+  const { isInitialLoading } = useQuery(['initPayOrder'], getPayOrders, {
+    onSuccess(res) {
+      setPayOrders(res);
+    }
+  });
+
  return (
    <Box position={'relative'} h={'100%'}>
      {!isInitialLoading && payOrders.length === 0 ? (
--- a/client/src/pages/account/components/Promotion.tsx
+++ b/client/src/pages/account/components/Promotion.tsx
@@ -1,148 +0,0 @@
-import React from 'react';
-import {
-  Grid,
-  Box,
-  Flex,
-  BoxProps,
-  useTheme,
-  Button,
-  Table,
-  Thead,
-  Tbody,
-  Tr,
-  Th,
-  Td,
-  TableContainer
-} from '@chakra-ui/react';
-import { useTranslation } from 'next-i18next';
-import { useQuery } from '@tanstack/react-query';
-import { getPromotionInitData, getPromotionRecords } from '@/api/user';
-import { useUserStore } from '@/store/user';
-import { useLoading } from '@/hooks/useLoading';
-
-import MyTooltip from '@/components/MyTooltip';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import { useCopyData } from '@/utils/tools';
-import { usePagination } from '@/hooks/usePagination';
-import { PromotionRecordType } from '@/api/response/user';
-import MyIcon from '@/components/Icon';
-import dayjs from 'dayjs';
-
-const Promotion = () => {
-  const { t } = useTranslation();
-  const theme = useTheme();
-  const { copyData } = useCopyData();
-  const { userInfo } = useUserStore();
-  const { Loading } = useLoading();
-
-  const {
-    data: promotionRecords,
-    isLoading,
-    total,
-    pageSize,
-    Pagination
-  } = usePagination<PromotionRecordType>({
-    api: getPromotionRecords
-  });
-
-  const { data: { invitedAmount = 0, earningsAmount = 0 } = {} } = useQuery(
-    ['getPromotionInitData'],
-    getPromotionInitData
-  );
-
-  const statisticsStyles: BoxProps = {
-    p: [4, 5],
-    border: theme.borders.base,
-    textAlign: 'center',
-    fontSize: ['md', 'xl'],
-    borderRadius: 'md'
-  };
-  const titleStyles: BoxProps = {
-    mt: 2,
-    fontSize: ['lg', '28px'],
-    fontWeight: 'bold'
-  };
-
-  return (
-    <Flex flexDirection={'column'} py={[0, 5]} px={5} h={'100%'} position={'relative'}>
-      <Grid gridTemplateColumns={['1fr 1fr', 'repeat(2,1fr)', 'repeat(4,1fr)']} gridGap={5}>
-        <Box {...statisticsStyles}>
-          <Box>{t('user.Amount of inviter')}</Box>
-          <Box {...titleStyles}>{invitedAmount}</Box>
-        </Box>
-        <Box {...statisticsStyles}>
-          <Box>{t('user.Amount of earnings')}</Box>
-          <Box {...titleStyles}>{earningsAmount}</Box>
-        </Box>
-        <Box {...statisticsStyles}>
-          <Flex alignItems={'center'} justifyContent={'center'}>
-            <Box>{t('user.Promotion Rate')}</Box>
-            <MyTooltip label={t('user.Promotion rate tip')}>
-              <QuestionOutlineIcon ml={1} />
-            </MyTooltip>
-          </Flex>
-          <Box {...titleStyles}>{userInfo?.promotionRate || 15}%</Box>
-        </Box>
-        <Box {...statisticsStyles}>
-          <Flex alignItems={'center'} justifyContent={'center'}>
-            <Box>{t('user.Invite Url')}</Box>
-            <MyTooltip label={t('user.Invite url tip')}>
-              <QuestionOutlineIcon ml={1} />
-            </MyTooltip>
-          </Flex>
-          <Button
-            mt={4}
-            variant={'base'}
-            fontSize={'sm'}
-            onClick={() => {
-              copyData(`${location.origin}/?hiId=${userInfo?._id}`);
-            }}
-          >
-            {t('user.Copy invite url')}
-          </Button>
-        </Box>
-      </Grid>
-      <Box mt={5}>
-        <TableContainer position={'relative'} overflow={'hidden'} minH={'100px'}>
-          <Table>
-            <Thead>
-              <Tr>
-                <Th>时间</Th>
-                <Th>类型</Th>
-                <Th>金额(￥)</Th>
-              </Tr>
-            </Thead>
-            <Tbody fontSize={'sm'}>
-              {promotionRecords.map((item) => (
-                <Tr key={item._id}>
-                  <Td>
-                    {item.createTime ? dayjs(item.createTime).format('YYYY/MM/DD HH:mm:ss') : '-'}
-                  </Td>
-                  <Td>{t(`user.promotion.${item.type}`)}</Td>
-                  <Td>{item.amount}</Td>
-                </Tr>
-              ))}
-            </Tbody>
-          </Table>
-        </TableContainer>
-
-        {!isLoading && promotionRecords.length === 0 && (
-          <Flex mt={'10vh'} flexDirection={'column'} alignItems={'center'}>
-            <MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
-            <Box mt={2} color={'myGray.500'}>
-              无邀请记录~
-            </Box>
-          </Flex>
-        )}
-        {total > pageSize && (
-          <Flex mt={4} justifyContent={'flex-end'}>
-            <Pagination />
-          </Flex>
-        )}
-        <Loading loading={isLoading} fixed={false} />
-      </Box>
-    </Flex>
-  );
-};
-
-export default Promotion;
--- a/client/src/pages/account/components/UpdatePswModal.tsx
+++ b/client/src/pages/account/components/UpdatePswModal.tsx
@@ -6,15 +6,9 @@ import { useForm } from 'react-hook-form';
 import { useRequest } from '@/hooks/useRequest';
 import { updatePasswordByOld } from '@/api/user';

-type FormType = {
-  oldPsw: string;
-  newPsw: string;
-  confirmPsw: string;
-};
-
 const UpdatePswModal = ({ onClose }: { onClose: () => void }) => {
  const { t } = useTranslation();
-  const { register, handleSubmit } = useForm<FormType>({
+  const { register, handleSubmit } = useForm({
    defaultValues: {
      oldPsw: '',
      newPsw: '',
@@ -23,10 +17,7 @@ const UpdatePswModal = ({ onClose }: { onClose: () => void }) => {
  });

  const { mutate: onSubmit, isLoading } = useRequest({
-    mutationFn: (data: FormType) => {
-      if (data.newPsw !== data.confirmPsw) {
-        return Promise.reject(t('commom.Password inconsistency'));
-      }
+    mutationFn: (data) => {
      return updatePasswordByOld(data);
    },
    onSuccess() {
@@ -45,31 +36,11 @@ const UpdatePswModal = ({ onClose }: { onClose: () => void }) => {
        </Flex>
        <Flex alignItems={'center'} mt={5}>
          <Box flex={'0 0 70px'}>新密码:</Box>
-          <Input
-            flex={1}
-            type={'password'}
-            {...register('newPsw', {
-              required: true,
-              maxLength: {
-                value: 20,
-                message: '密码最少 4 位最多 20 位'
-              }
-            })}
-          ></Input>
+          <Input flex={1} type={'password'} {...register('newPsw', { required: true })}></Input>
        </Flex>
        <Flex alignItems={'center'} mt={5}>
          <Box flex={'0 0 70px'}>确认密码:</Box>
-          <Input
-            flex={1}
-            type={'password'}
-            {...register('confirmPsw', {
-              required: true,
-              maxLength: {
-                value: 20,
-                message: '密码最少 4 位最多 20 位'
-              }
-            })}
-          ></Input>
+          <Input flex={1} type={'password'} {...register('confirmPsw', { required: true })}></Input>
        </Flex>
      </ModalBody>
      <ModalFooter>
--- a/client/src/pages/account/index.tsx
+++ b/client/src/pages/account/index.tsx
@@ -11,17 +11,19 @@ import SideTabs from '@/components/SideTabs';
 import Tabs from '@/components/Tabs';
 import UserInfo from './components/Info';
 import { serviceSideProps } from '@/utils/i18n';
-import { feConfigs } from '@/store/static';
-import { useTranslation } from 'react-i18next';

-const Promotion = dynamic(() => import('./components/Promotion'));
-const BillTable = dynamic(() => import('./components/BillTable'));
-const PayRecordTable = dynamic(() => import('./components/PayRecordTable'));
-const InformTable = dynamic(() => import('./components/InformTable'));
+const BillTable = dynamic(() => import('./components/BillTable'), {
+  ssr: false
+});
+const PayRecordTable = dynamic(() => import('./components/PayRecordTable'), {
+  ssr: false
+});
+const InformTable = dynamic(() => import('./components/InformTable'), {
+  ssr: false
+});

 enum TabEnum {
  'info' = 'info',
-  'promotion' = 'promotion',
  'bill' = 'bill',
  'pay' = 'pay',
  'inform' = 'inform',
@@ -29,42 +31,36 @@ enum TabEnum {
 }

 const Account = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
-  const { t } = useTranslation();
  const tabList = useRef([
    {
      icon: 'meLight',
-      label: t('user.Personal Information'),
-      id: TabEnum.info
+      label: 'user.Personal Information',
+      id: TabEnum.info,
+      Component: <BillTable />
    },
-
    {
      icon: 'billRecordLight',
-      label: t('user.Usage Record'),
-      id: TabEnum.bill
+      label: 'user.Usage Record',
+      id: TabEnum.bill,
+      Component: <BillTable />
+    },
+    {
+      icon: 'payRecordLight',
+      label: 'user.Recharge Record',
+      id: TabEnum.pay,
+      Component: <PayRecordTable />
    },
-    ...(feConfigs?.show_userDetail
-      ? [
-          {
-            icon: 'promotionLight',
-            label: t('user.Promotion Record'),
-            id: TabEnum.promotion
-          },
-          {
-            icon: 'payRecordLight',
-            label: t('user.Recharge Record'),
-            id: TabEnum.pay
-          }
-        ]
-      : []),
    {
      icon: 'informLight',
-      label: t('user.Notice'),
-      id: TabEnum.inform
+      label: 'user.Notice',
+      id: TabEnum.inform,
+      Component: <InformTable />
    },
    {
      icon: 'loginoutLight',
-      label: t('user.Sign Out'),
-      id: TabEnum.loginout
+      label: 'user.Sign Out',
+      id: TabEnum.loginout,
+      Component: () => <></>
    }
  ]);

@@ -121,6 +117,7 @@ const Account = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
          <Box mb={3}>
            <Tabs
              m={'auto'}
+              w={'90%'}
              size={isPc ? 'md' : 'sm'}
              list={tabList.current.map((item) => ({
                id: item.id,
@@ -134,7 +131,6 @@ const Account = ({ currentTab }: { currentTab: `${TabEnum}` }) => {

        <Box flex={'1 0 0'} h={'100%'} pb={[4, 0]}>
          {currentTab === TabEnum.info && <UserInfo />}
-          {currentTab === TabEnum.promotion && <Promotion />}
          {currentTab === TabEnum.bill && <BillTable />}
          {currentTab === TabEnum.pay && <PayRecordTable />}
          {currentTab === TabEnum.inform && <InformTable />}
--- a/client/src/pages/api/admin/initChat.ts
+++ b/client/src/pages/api/admin/initChat.ts
@@ -45,7 +45,9 @@ async function init(limit: number, skip: number) {
      chatId: { $exists: false }
    },
    '_id'
-  ).limit(limit);
+  )
+    .limit(limit)
+    .skip(skip);

  await Promise.all(
    chats.map((chat) =>
--- a/client/src/pages/api/admin/initChatItem.ts
+++ b/client/src/pages/api/admin/initChatItem.ts
@@ -1,98 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { connectToDatabase, Chat, ChatItem } from '@/service/mongo';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 24);
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    const { limit = 100 } = req.body as { limit: number };
-    let skip = 0;
-
-    const total = await Chat.countDocuments({
-      content: { $exists: true, $not: { $size: 0 } },
-      isInit: { $ne: true }
-    });
-    const totalChat = await Chat.aggregate([
-      {
-        $project: {
-          contentLength: { $size: '$content' }
-        }
-      },
-      {
-        $group: {
-          _id: null,
-          totalLength: { $sum: '$contentLength' }
-        }
-      }
-    ]);
-
-    console.log('chatLen:', total, totalChat);
-
-    let promise = Promise.resolve();
-
-    for (let i = 0; i < total; i += limit) {
-      const skipVal = skip;
-      skip += limit;
-      promise = promise
-        .then(() => init(limit))
-        .then(() => {
-          console.log(skipVal);
-        });
-    }
-
-    await promise;
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
-
-async function init(limit: number) {
-  // 遍历 app
-  const chats = await Chat.find(
-    {
-      content: { $exists: true, $not: { $size: 0 } },
-      isInit: { $ne: true }
-    },
-    '_id userId appId chatId content'
-  )
-    .sort({ updateTime: -1 })
-    .limit(limit);
-
-  await Promise.all(
-    chats.map(async (chat) => {
-      const inserts = chat.content
-        .map((item) => ({
-          dataId: nanoid(),
-          chatId: chat.chatId,
-          userId: chat.userId,
-          appId: chat.appId,
-          obj: item.obj,
-          value: item.value,
-          responseData: item.responseData
-        }))
-        .filter((item) => item.chatId && item.userId && item.appId && item.obj && item.value);
-
-      try {
-        await Promise.all(inserts.map((item) => ChatItem.create(item)));
-        await Chat.findByIdAndUpdate(chat._id, {
-          isInit: true
-        });
-      } catch (error) {
-        console.log(error);
-
-        await ChatItem.deleteMany({ chatId: chat.chatId });
-      }
-    })
-  );
-}
--- a/client/src/pages/api/admin/initv4.ts
+++ b/client/src/pages/api/admin/initv4.ts
@@ -408,7 +408,9 @@ async function init(limit: number, skip: number) {
      // userId: '63f9a14228d2a688d8dc9e1b'
    },
    '_id chat'
-  ).limit(limit);
+  )
+    .limit(limit)
+    .skip(skip);

  return Promise.all(
    apps.map(async (app) => {
--- a/client/src/pages/api/app/getChatLogs.ts
+++ b/client/src/pages/api/app/getChatLogs.ts
@@ -1,95 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { Chat, connectToDatabase } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import type { PagingData } from '@/types';
-import { AppLogsListItemType } from '@/types/app';
-import { Types } from 'mongoose';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const {
-      pageNum = 1,
-      pageSize = 20,
-      appId
-    } = req.body as { pageNum: number; pageSize: number; appId: string };
-
-    if (!appId) {
-      throw new Error('缺少参数');
-    }
-    await connectToDatabase();
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    const where = {
-      appId: new Types.ObjectId(appId),
-      userId: new Types.ObjectId(userId)
-    };
-
-    const [data, total] = await Promise.all([
-      Chat.aggregate([
-        { $match: where },
-        {
-          $lookup: {
-            from: 'chatitems',
-            localField: 'chatId',
-            foreignField: 'chatId',
-            as: 'chatitems'
-          }
-        },
-        {
-          $addFields: {
-            feedbackCount: {
-              $size: {
-                $filter: {
-                  input: '$chatitems',
-                  as: 'item',
-                  cond: { $ifNull: ['$$item.userFeedback', false] }
-                }
-              }
-            },
-            markCount: {
-              $size: {
-                $filter: {
-                  input: '$chatitems',
-                  as: 'item',
-                  cond: { $ifNull: ['$$item.adminFeedback', false] }
-                }
-              }
-            }
-          }
-        },
-        { $sort: { feedbackCount: -1, updateTime: -1 } },
-        { $skip: (pageNum - 1) * pageSize },
-        { $limit: pageSize },
-        {
-          $project: {
-            id: '$chatId',
-            title: 1,
-            source: 1,
-            time: '$updateTime',
-            messageCount: { $size: '$chatitems' },
-            feedbackCount: 1,
-            markCount: 1
-          }
-        }
-      ]),
-      Chat.countDocuments(where)
-    ]);
-
-    jsonRes<PagingData<AppLogsListItemType>>(res, {
-      data: {
-        pageNum,
-        pageSize,
-        data,
-        total
-      }
-    });
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
--- a/client/src/pages/api/app/share/getModels.ts
+++ b/client/src/pages/api/app/share/getModels.ts
@@ -57,7 +57,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
      {
        $project: {
          _id: 1,
-          avatar: { $ifNull: ['$avatar', '/icon/logo.svg'] },
+          avatar: { $ifNull: ['$avatar', '/icon/logo.png'] },
          name: 1,
          userId: 1,
          intro: 1,
--- a/client/src/pages/api/chat/chatTest.ts
+++ b/client/src/pages/api/chat/chatTest.ts
@@ -4,14 +4,16 @@ import { authUser } from '@/service/utils/auth';
 import { sseErrRes } from '@/service/response';
 import { sseResponseEventEnum } from '@/constants/chat';
 import { sseResponse } from '@/service/utils/tools';
+import { type ChatCompletionRequestMessage } from 'openai';
 import { AppModuleItemType } from '@/types/app';
 import { dispatchModules } from '../openapi/v1/chat/completions';
+import { gptMessage2ChatType } from '@/utils/adapt';
 import { pushTaskBill } from '@/service/events/pushBill';
 import { BillSourceEnum } from '@/constants/user';
-import { ChatItemType } from '@/types/chat';

+export type MessageItemType = ChatCompletionRequestMessage & { _id?: string };
 export type Props = {
-  history: ChatItemType[];
+  history: MessageItemType[];
  prompt: string;
  modules: AppModuleItemType[];
  variables: Record<string, any>;
@@ -49,7 +51,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
      variables,
      user,
      params: {
-        history,
+        history: gptMessage2ChatType(history),
        userChatInput: prompt
      },
      stream: true,
@@ -81,11 +83,3 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    res.end();
  }
 }
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '20mb'
-    }
-  }
-};
--- a/client/src/pages/api/chat/delChatRecordByContentId.ts
+++ b/client/src/pages/api/chat/delChatRecordByContentId.ts
@@ -1,23 +1,35 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, ChatItem } from '@/service/mongo';
+import { connectToDatabase, Chat } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';

 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  try {
    const { chatId, contentId } = req.query as { chatId: string; contentId: string };

+    if (!chatId || !contentId) {
+      throw new Error('缺少参数');
+    }
+
    await connectToDatabase();

    // 凭证校验
    const { userId } = await authUser({ req, authToken: true });

+    const chatRecord = await Chat.findOne({ chatId });
+
+    if (!chatRecord) {
+      throw new Error('找不到对话');
+    }
+
    // 删除一条数据库记录
-    await ChatItem.deleteOne({
-      dataId: contentId,
-      chatId,
-      userId
-    });
+    await Chat.updateOne(
+      {
+        chatId,
+        userId
+      },
+      { $pull: { content: { _id: contentId } } }
+    );

    jsonRes(res);
  } catch (err) {
--- a/client/src/pages/api/chat/feedback/adminUpdate.ts
+++ b/client/src/pages/api/chat/feedback/adminUpdate.ts
@@ -1,40 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, ChatItem } from '@/service/mongo';
-import { AdminUpdateFeedbackParams } from '@/api/request/chat';
-import { authUser } from '@/service/utils/auth';
-
-/* 初始化我的聊天框，需要身份验证 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await connectToDatabase();
-    const { chatItemId, kbId, dataId, content = undefined } = req.body as AdminUpdateFeedbackParams;
-
-    if (!chatItemId || !kbId || !dataId || !content) {
-      throw new Error('missing parameter');
-    }
-
-    const { userId } = await authUser({ req, authToken: true });
-
-    await ChatItem.findOneAndUpdate(
-      {
-        userId,
-        dataId: chatItemId
-      },
-      {
-        adminFeedback: {
-          kbId,
-          dataId,
-          content
-        }
-      }
-    );
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/chat/feedback/userUpdate.ts
+++ b/client/src/pages/api/chat/feedback/userUpdate.ts
@@ -1,34 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, ChatItem } from '@/service/mongo';
-
-/* 初始化我的聊天框，需要身份验证 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await connectToDatabase();
-    const { chatItemId, userFeedback = undefined } = req.body as {
-      chatItemId: string;
-      userFeedback?: string;
-    };
-
-    if (!chatItemId) {
-      throw new Error('chatItemId is required');
-    }
-
-    await ChatItem.findOneAndUpdate(
-      {
-        dataId: chatItemId
-      },
-      {
-        ...(userFeedback ? { userFeedback } : { $unset: { userFeedback: '' } })
-      }
-    );
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/chat/history/updateHistoryQuote.ts
+++ b/client/src/pages/api/chat/history/updateHistoryQuote.ts
@@ -0,0 +1,57 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Chat } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+import { Types } from 'mongoose';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    let {
+      chatId,
+      contentId,
+      quoteId,
+      sourceText = ''
+    } = req.body as {
+      chatId: string;
+      contentId: string;
+      quoteId: string;
+      sourceText: string;
+    };
+    await connectToDatabase();
+
+    const { userId } = await authUser({ req, authToken: true });
+
+    if (!contentId || !chatId || !quoteId) {
+      throw new Error('params is error');
+    }
+
+    await Chat.updateOne(
+      {
+        chatId,
+        userId: new Types.ObjectId(userId),
+        'content._id': new Types.ObjectId(contentId)
+      },
+      {
+        $set: {
+          'content.$.rawSearch.$[quoteElem].source': sourceText
+        }
+      },
+      {
+        arrayFilters: [
+          {
+            'quoteElem.id': quoteId
+          }
+        ]
+      }
+    );
+
+    jsonRes(res, {
+      data: ''
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/client/src/pages/api/chat/init.ts
+++ b/client/src/pages/api/chat/init.ts
@@ -1,10 +1,11 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { Chat, ChatItem } from '@/service/mongo';
+import { connectToDatabase, Chat } from '@/service/mongo';
 import type { InitChatResponse } from '@/api/response/chat';
 import { authUser } from '@/service/utils/auth';
 import { ChatItemType } from '@/types/chat';
 import { authApp } from '@/service/utils/auth';
+import mongoose from 'mongoose';
 import type { ChatSchema } from '@/types/mongoSchema';
 import { getSpecialModule, getChatModelNameList } from '@/components/ChatBox/utils';
 import { TaskResponseKeyEnum } from '@/constants/chat';
@@ -26,6 +27,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
      });
    }

+    await connectToDatabase();
+
    // 校验使用权限
    const app = (
      await authApp({
@@ -36,42 +39,49 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
      })
    ).app;

-    // get app and history
+    // 历史记录
    const { chat, history = [] }: { chat?: ChatSchema; history?: ChatItemType[] } =
      await (async () => {
        if (chatId) {
          // auth chatId
          const [chat, history] = await Promise.all([
-            Chat.findOne(
+            Chat.findOne({
+              chatId,
+              userId
+            }),
+            Chat.aggregate([
              {
-                chatId,
-                userId
+                $match: {
+                  chatId,
+                  userId: new mongoose.Types.ObjectId(userId)
+                }
              },
-              'title variables'
-            ),
-            ChatItem.find(
              {
-                chatId,
-                userId
+                $project: {
+                  content: {
+                    $slice: ['$content', -30] // 返回 content 数组的最后 30 个元素
+                  }
+                }
              },
-              `dataId obj value adminFeedback userFeedback ${TaskResponseKeyEnum.responseData}`
-            )
-              .sort({ _id: -1 })
-              .limit(30)
+              { $unwind: '$content' },
+              {
+                $project: {
+                  _id: '$content._id',
+                  obj: '$content.obj',
+                  value: '$content.value',
+                  [TaskResponseKeyEnum.responseData]: `$content.${TaskResponseKeyEnum.responseData}`
+                }
+              }
+            ])
          ]);
          if (!chat) {
            throw new Error('聊天框不存在');
          }
-          history.reverse();
-          return { app, history, chat };
+          return { history, chat };
        }
        return {};
      })();

-    if (!app) {
-      throw new Error('Auth App Error');
-    }
-
    const isOwner = String(app.userId) === userId;

    jsonRes<InitChatResponse>(res, {
@@ -98,11 +108,3 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    });
  }
 }
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '10mb'
-    }
-  }
-};
--- a/client/src/pages/api/chat/removeHistory.ts
+++ b/client/src/pages/api/chat/removeHistory.ts
@@ -1,6 +1,6 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, Chat, ChatItem } from '@/service/mongo';
+import { connectToDatabase, Chat } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';

 type Props = {
@@ -17,28 +17,16 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    await connectToDatabase();

    if (chatId) {
-      await Promise.all([
-        Chat.findOneAndRemove({
-          chatId,
-          userId
-        }),
-        ChatItem.deleteMany({
-          userId,
-          chatId
-        })
-      ]);
+      await Chat.findOneAndRemove({
+        chatId,
+        userId
+      });
    }
    if (appId) {
-      await Promise.all([
-        Chat.deleteMany({
-          appId,
-          userId
-        }),
-        ChatItem.deleteMany({
-          userId,
-          appId
-        })
-      ]);
+      await Chat.deleteMany({
+        appId,
+        userId
+      });
    }

    jsonRes(res);
--- a/client/src/pages/api/openapi/kb/delDataById.ts
+++ b/client/src/pages/api/openapi/kb/delDataById.ts
@@ -3,7 +3,6 @@ import { jsonRes } from '@/service/response';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
 import { withNextCors } from '@/service/utils/tools';
-import { PgTrainingTableName } from '@/constants/plugin';

 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -18,7 +17,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    // 凭证校验
    const { userId } = await authUser({ req });

-    await PgClient.delete(PgTrainingTableName, {
+    await PgClient.delete('modelData', {
      where: [['user_id', userId], 'AND', ['id', dataId]]
    });

--- a/client/src/pages/api/openapi/kb/pushData.ts
+++ b/client/src/pages/api/openapi/kb/pushData.ts
@@ -1,10 +1,10 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, TrainingData, KB } from '@/service/mongo';
+import { connectToDatabase, TrainingData } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { authKb } from '@/service/utils/auth';
 import { withNextCors } from '@/service/utils/tools';
-import { PgTrainingTableName, TrainingModeEnum } from '@/constants/plugin';
+import { TrainingModeEnum } from '@/constants/plugin';
 import { startQueue } from '@/service/utils/tools';
 import { PgClient } from '@/service/pg';
 import { modelToolMap } from '@/utils/plugin';
@@ -14,6 +14,7 @@ export type DateItemType = { a: string; q: string; source?: string };
 export type Props = {
  kbId: string;
  data: DateItemType[];
+  model: string;
  mode: `${TrainingModeEnum}`;
  prompt?: string;
 };
@@ -29,12 +30,23 @@ const modeMaxToken = {

 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { kbId, data, mode, prompt } = req.body as Props;
+    const { kbId, data, mode, prompt, model } = req.body as Props;

-    if (!kbId || !Array.isArray(data)) {
+    if (!kbId || !Array.isArray(data) || !model) {
      throw new Error('缺少参数');
    }

+    // auth model
+    if (mode === TrainingModeEnum.qa && !global.qaModels.find((item) => item.model === model)) {
+      throw new Error('不支持的 QA 拆分模型');
+    }
+    if (
+      mode === TrainingModeEnum.index &&
+      !global.vectorModels.find((item) => item.model === model)
+    ) {
+      throw new Error('不支持的向量生成模型');
+    }
+
    await connectToDatabase();

    // 凭证校验
@@ -46,7 +58,8 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        data,
        userId,
        mode,
-        prompt
+        prompt,
+        model
      })
    });
  } catch (err) {
@@ -62,7 +75,8 @@ export async function pushDataToKb({
  kbId,
  data,
  mode,
-  prompt
+  prompt,
+  model
 }: { userId: string } & Props): Promise<Response> {
  await authKb({
    userId,
@@ -76,14 +90,15 @@ export async function pushDataToKb({
  data.forEach((item) => {
    const text = item.q + item.a;

-    // count token
-    const token = modelToolMap.countTokens({
-      model: 'gpt-3.5-turbo',
-      messages: [{ obj: 'System', value: item.q }]
-    });
-
-    if (token > modeMaxToken[TrainingModeEnum.qa]) {
-      return;
+    if (mode === TrainingModeEnum.qa) {
+      // count token
+      const token = modelToolMap.countTokens({
+        model: 'gpt-3.5-turbo-16k',
+        messages: [{ obj: 'System', value: item.q }]
+      });
+      if (token > modeMaxToken[TrainingModeEnum.qa]) {
+        return;
+      }
    }

    if (!set.has(text)) {
@@ -115,7 +130,7 @@ export async function pushDataToKb({
        try {
          const { rows } = await PgClient.query(`
            SELECT COUNT(*) > 0 AS exists
-            FROM  ${PgTrainingTableName} 
+            FROM  modelData 
            WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
          `);
          const exists = rows[0]?.exists || false;
@@ -138,24 +153,17 @@ export async function pushDataToKb({
    .filter((item) => item.status === 'fulfilled')
    .map<DateItemType>((item: any) => item.value);

-  const vectorModel = await (async () => {
-    if (mode === TrainingModeEnum.index) {
-      return (await KB.findById(kbId, 'vectorModel'))?.vectorModel || global.vectorModels[0].model;
-    }
-    return global.vectorModels[0].model;
-  })();
-
  // 插入记录
  await TrainingData.insertMany(
    insertData.map((item) => ({
      q: item.q,
      a: item.a,
+      model,
      source: item.source,
      userId,
      kbId,
      mode,
-      prompt,
-      vectorModel
+      prompt
    }))
  );

--- a/client/src/pages/api/openapi/kb/searchTest.ts
+++ b/client/src/pages/api/openapi/kb/searchTest.ts
@@ -5,10 +5,9 @@ import { PgClient } from '@/service/pg';
 import { withNextCors } from '@/service/utils/tools';
 import { getVector } from '../plugin/vector';
 import type { KbTestItemType } from '@/types/plugin';
-import { PgTrainingTableName } from '@/constants/plugin';
-import { KB } from '@/service/mongo';

 export type Props = {
+  model: string;
  kbId: string;
  text: string;
 };
@@ -16,24 +15,21 @@ export type Response = KbTestItemType['results'];

 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { kbId, text } = req.body as Props;
+    const { kbId, text, model } = req.body as Props;

-    if (!kbId || !text) {
+    if (!kbId || !text || !model) {
      throw new Error('缺少参数');
    }

    // 凭证校验
-    const [{ userId }, kb] = await Promise.all([
-      authUser({ req }),
-      KB.findById(kbId, 'vectorModel')
-    ]);
+    const { userId } = await authUser({ req });

-    if (!userId || !kb) {
+    if (!userId) {
      throw new Error('缺少用户ID');
    }

    const { vectors } = await getVector({
-      model: kb.vectorModel,
+      model,
      userId,
      input: [text]
    });
@@ -43,7 +39,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        SET LOCAL ivfflat.probes = ${global.systemEnv.pgIvfflatProbe || 10};
        select id,q,a,source,(vector <#> '[${
          vectors[0]
-        }]') * -1 AS score from ${PgTrainingTableName} where kb_id='${kbId}' AND user_id='${userId}' order by vector <#> '[${
+        }]') * -1 AS score from modelData where kb_id='${kbId}' AND user_id='${userId}' order by vector <#> '[${
        vectors[0]
      }]' limit 12;
        COMMIT;`
--- a/client/src/pages/api/openapi/kb/updateData.ts
+++ b/client/src/pages/api/openapi/kb/updateData.ts
@@ -5,7 +5,6 @@ import { PgClient } from '@/service/pg';
 import { withNextCors } from '@/service/utils/tools';
 import { KB, connectToDatabase } from '@/service/mongo';
 import { getVector } from '../plugin/vector';
-import { PgTrainingTableName } from '@/constants/plugin';

 export type Props = {
  dataId: string;
@@ -24,11 +23,11 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex

    await connectToDatabase();

-    // auth user and get kb
-    const [{ userId }, kb] = await Promise.all([
-      authUser({ req }),
-      KB.findById(kbId, 'vectorModel')
-    ]);
+    // 凭证校验
+    const { userId } = await authUser({ req });
+
+    // find model
+    const kb = await KB.findById(kbId, 'model');

    if (!kb) {
      throw new Error("Can't find database");
@@ -40,14 +39,14 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        return getVector({
          userId,
          input: [q],
-          model: kb.vectorModel
+          model: kb.model
        });
      }
      return { vectors: [[]] };
    })();

    // 更新 pg 内容.仅修改a，不需要更新向量。
-    await PgClient.update(PgTrainingTableName, {
+    await PgClient.update('modelData', {
      where: [['id', dataId], 'AND', ['user_id', userId]],
      values: [
        { key: 'source', value: '手动修改' },
--- a/client/src/pages/api/openapi/plugin/vector.ts
+++ b/client/src/pages/api/openapi/plugin/vector.ts
@@ -67,13 +67,13 @@ export async function getVector({
      }
    )
    .then((res) => {
-      if (!res.data?.data?.[0]?.embedding) {
+      if (!res.data?.usage?.total_tokens) {
        // @ts-ignore
        return Promise.reject(res.data?.error?.message || 'Embedding Error');
      }
      return {
        tokenLen: res.data.usage.total_tokens || 0,
-        vectors: res.data.data.map((item) => unityDimensional(item.embedding))
+        vectors: res.data.data.map((item) => item.embedding)
      };
    });

@@ -86,12 +86,3 @@ export async function getVector({

  return result;
 }
-
-function unityDimensional(vector: number[]) {
-  let resultVector = vector;
-  const vectorLen = vector.length;
-
-  const zeroVector = new Array(1536 - vectorLen).fill(0);
-
-  return resultVector.concat(zeroVector);
-}
--- a/client/src/pages/api/openapi/v1/chat/completions.ts
+++ b/client/src/pages/api/openapi/v1/chat/completions.ts
@@ -2,7 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
 import { authUser, authApp, authShareChat, AuthUserTypeEnum } from '@/service/utils/auth';
 import { sseErrRes, jsonRes } from '@/service/response';
-import { addLog, withNextCors } from '@/service/utils/tools';
+import { withNextCors } from '@/service/utils/tools';
 import { ChatRoleEnum, ChatSourceEnum, sseResponseEventEnum } from '@/constants/chat';
 import {
  dispatchHistory,
@@ -27,9 +27,8 @@ import { pushTaskBill } from '@/service/events/pushBill';
 import { BillSourceEnum } from '@/constants/user';
 import { ChatHistoryItemResType } from '@/types/chat';
 import { UserModelSchema } from '@/types/mongoSchema';
-import { SystemInputEnum } from '@/constants/app';

-export type MessageItemType = ChatCompletionRequestMessage & { dataId?: string };
+export type MessageItemType = ChatCompletionRequestMessage & { _id?: string };
 type FastGptWebChatProps = {
  chatId?: string; // undefined: nonuse history, '': new chat, 'xxxxx': use history
  appId?: string;
@@ -95,9 +94,9 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    if (!user) {
      throw new Error('Account is error');
    }
-    // if (authType === AuthUserTypeEnum.apikey || shareId) {
-    //   user.openaiAccount = undefined;
-    // }
+    if (authType === AuthUserTypeEnum.apikey || shareId) {
+      user.openaiAccount = undefined;
+    }

    appId = appId ? appId : authAppid;
    if (!appId) {
@@ -173,7 +172,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        content: [
          prompt,
          {
-            dataId: messages[messages.length - 1].dataId,
+            _id: messages[messages.length - 1]._id,
            obj: ChatRoleEnum.AI,
            value: answerText,
            responseData
@@ -182,7 +181,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
      });
    }

-    addLog.info(`completions running time: ${(Date.now() - startTime) / 1000}s`);
+    console.log(`finish time: ${(Date.now() - startTime) / 1000}s`);

    if (stream) {
      sseResponse({
@@ -303,8 +302,6 @@ export async function dispatchModules({

        if (!set.has(module.moduleId) && checkInputFinish()) {
          set.add(module.moduleId);
-          // remove switch
-          updateInputValue(SystemInputEnum.switch, undefined);
          return moduleRun(module);
        }
      })
@@ -327,7 +324,6 @@ export async function dispatchModules({
            // find module
            const targetModule = runningModules.find((item) => item.moduleId === target.moduleId);
            if (!targetModule) return;
-
            return moduleInput(targetModule, { [target.key]: outputItem.value });
          })
        );
@@ -336,6 +332,7 @@ export async function dispatchModules({
  }
  async function moduleRun(module: RunningModuleItemType): Promise<any> {
    if (res.closed) return Promise.resolve();
+    console.log('run=========', module.flowType);

    if (stream && detail && module.showStatus) {
      responseStatus({
@@ -354,7 +351,6 @@ export async function dispatchModules({
      res,
      stream,
      detail,
-      outputs: module.outputs,
      userOpenaiAccount: user?.openaiAccount,
      ...params
    };
@@ -450,11 +446,3 @@ export function responseStatus({
    })
  });
 }
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '20mb'
-    }
-  }
-};
--- a/client/src/pages/api/openapi/v1/chat/getHistory.ts
+++ b/client/src/pages/api/openapi/v1/chat/getHistory.ts
@@ -2,7 +2,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { authUser } from '@/service/utils/auth';
-import { connectToDatabase, ChatItem } from '@/service/mongo';
+import { connectToDatabase, Chat } from '@/service/mongo';
 import { Types } from 'mongoose';
 import type { ChatItemType } from '@/types/chat';

@@ -36,37 +36,29 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 export async function getChatHistory({
  chatId,
  userId,
-  limit = 30
+  limit = 20
 }: Props & { userId: string }): Promise<Response> {
  if (!chatId) {
    return { history: [] };
  }

-  const history = await ChatItem.aggregate([
-    {
-      $match: {
-        chatId,
-        userId: new Types.ObjectId(userId)
-      }
-    },
-    {
-      $sort: {
-        _id: -1
-      }
-    },
-    {
-      $limit: limit
-    },
+  const history = await Chat.aggregate([
+    { $match: { chatId, userId: new Types.ObjectId(userId) } },
    {
      $project: {
-        dataId: 1,
-        obj: 1,
-        value: 1
+        content: {
+          $slice: ['$content', -limit] // 返回 content 数组的最后20个元素
+        }
+      }
+    },
+    { $unwind: '$content' },
+    {
+      $project: {
+        obj: '$content.obj',
+        value: '$content.value'
      }
    }
  ]);

-  history.reverse();
-
  return { history };
 }
--- a/client/src/pages/api/plugins/kb/create.ts
+++ b/client/src/pages/api/plugins/kb/create.ts
@@ -2,13 +2,15 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
-import type { CreateKbParams } from '@/api/request/kb';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { name, tags, avatar, vectorModel } = req.body as CreateKbParams;
+    const { name, tags } = req.body as {
+      name: string;
+      tags: string[];
+    };

-    if (!name || !vectorModel) {
+    if (!name) {
      throw new Error('缺少参数');
    }

@@ -20,9 +22,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    const { _id } = await KB.create({
      name,
      userId,
-      tags,
-      vectorModel,
-      avatar
+      tags
    });

    jsonRes(res, { data: _id });
--- a/client/src/pages/api/plugins/kb/data/exportModelData.ts
+++ b/client/src/pages/api/plugins/kb/data/exportModelData.ts
@@ -3,7 +3,6 @@ import { jsonRes } from '@/service/response';
 import { connectToDatabase, User } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
-import { PgTrainingTableName } from '@/constants/plugin';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -39,19 +38,16 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    }

    // 统计数据
-    const count = await PgClient.count(PgTrainingTableName, {
+    const count = await PgClient.count('modelData', {
      where: [['kb_id', kbId], 'AND', ['user_id', userId]]
    });
    // 从 pg 中获取所有数据
-    const pgData = await PgClient.select<{ q: string; a: string; source: string }>(
-      PgTrainingTableName,
-      {
-        where: [['kb_id', kbId], 'AND', ['user_id', userId]],
-        fields: ['q', 'a', 'source'],
-        order: [{ field: 'id', mode: 'DESC' }],
-        limit: count
-      }
-    );
+    const pgData = await PgClient.select<{ q: string; a: string; source: string }>('modelData', {
+      where: [['kb_id', kbId], 'AND', ['user_id', userId]],
+      fields: ['q', 'a', 'source'],
+      order: [{ field: 'id', mode: 'DESC' }],
+      limit: count
+    });

    const data: [string, string, string][] = pgData.rows.map((item) => [
      item.q.replace(/\n/g, '\\n'),
--- a/client/src/pages/api/plugins/kb/data/getDataById.ts
+++ b/client/src/pages/api/plugins/kb/data/getDataById.ts
@@ -4,7 +4,6 @@ import { connectToDatabase } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
 import type { KbDataItemType } from '@/types/plugin';
-import { PgTrainingTableName } from '@/constants/plugin';

 export type Response = {
  id: string;
@@ -29,7 +28,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<

    const where: any = [['user_id', userId], 'AND', ['id', dataId]];

-    const searchRes = await PgClient.select<KbDataItemType>(PgTrainingTableName, {
+    const searchRes = await PgClient.select<KbDataItemType>('modelData', {
      fields: ['kb_id', 'id', 'q', 'a', 'source'],
      where,
      limit: 1
--- a/client/src/pages/api/plugins/kb/data/getDataList.ts
+++ b/client/src/pages/api/plugins/kb/data/getDataList.ts
@@ -4,7 +4,6 @@ import { connectToDatabase } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
 import type { KbDataItemType } from '@/types/plugin';
-import { PgTrainingTableName } from '@/constants/plugin';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -42,14 +41,14 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    ];

    const [searchRes, total] = await Promise.all([
-      PgClient.select<KbDataItemType>(PgTrainingTableName, {
+      PgClient.select<KbDataItemType>('modelData', {
        fields: ['id', 'q', 'a', 'source'],
        where,
        order: [{ field: 'id', mode: 'DESC' }],
        limit: pageSize,
        offset: pageSize * (pageNum - 1)
      }),
-      PgClient.count(PgTrainingTableName, {
+      PgClient.count('modelData', {
        fields: ['id'],
        where
      })
--- a/client/src/pages/api/plugins/kb/data/getQueueLen.ts
+++ b/client/src/pages/api/plugins/kb/data/getQueueLen.ts
@@ -1,25 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { TrainingData } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-
-/* 拆分数据成QA */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authToken: true });
-
-    // split queue data
-    const result = await TrainingData.countDocuments({
-      lockTime: { $lt: new Date('2040/1/1') }
-    });
-
-    jsonRes(res, {
-      data: result
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/plugins/kb/data/insertData.ts
+++ b/client/src/pages/api/plugins/kb/data/insertData.ts
@@ -1,88 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB } from '@/service/mongo';
-import { authKb, authUser } from '@/service/utils/auth';
-import { withNextCors } from '@/service/utils/tools';
-import { PgTrainingTableName } from '@/constants/plugin';
-import { insertKbItem, PgClient } from '@/service/pg';
-import { modelToolMap } from '@/utils/plugin';
-import { getVectorModel } from '@/service/utils/data';
-import { getVector } from '@/pages/api/openapi/plugin/vector';
-
-export type Props = {
-  kbId: string;
-  data: { a: string; q: string; source?: string };
-};
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    await connectToDatabase();
-
-    const { kbId, data = { q: '', a: '' } } = req.body as Props;
-
-    if (!kbId || !data?.q) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req });
-
-    // auth kb
-    const kb = await authKb({ kbId, userId });
-
-    const q = data?.q?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-    const a = data?.a?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-
-    // token check
-    const token = modelToolMap.countTokens({
-      model: 'gpt-3.5-turbo',
-      messages: [{ obj: 'System', value: q }]
-    });
-
-    if (token > getVectorModel(kb.vectorModel).maxToken) {
-      throw new Error('Over Tokens');
-    }
-
-    const { rows: existsRows } = await PgClient.query(`
-    SELECT COUNT(*) > 0 AS exists
-    FROM  ${PgTrainingTableName} 
-    WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
-  `);
-    const exists = existsRows[0]?.exists || false;
-
-    if (exists) {
-      throw new Error('已经存在完全一致的数据');
-    }
-
-    const { vectors } = await getVector({
-      model: kb.vectorModel,
-      input: [q],
-      userId
-    });
-
-    const response = await insertKbItem({
-      userId,
-      kbId,
-      data: [
-        {
-          q,
-          a,
-          source: data.source,
-          vector: vectors[0]
-        }
-      ]
-    });
-
-    // @ts-ignore
-    const id = response?.rows?.[0]?.id || '';
-
-    jsonRes(res, {
-      data: id
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});
--- a/client/src/pages/api/plugins/kb/delete.ts
+++ b/client/src/pages/api/plugins/kb/delete.ts
@@ -4,7 +4,6 @@ import { connectToDatabase, KB, App, TrainingData } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
 import { Types } from 'mongoose';
-import { PgTrainingTableName } from '@/constants/plugin';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -22,7 +21,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    await connectToDatabase();

    // delete all pg data
-    await PgClient.delete(PgTrainingTableName, {
+    await PgClient.delete('modelData', {
      where: [['user_id', userId], 'AND', ['kb_id', id]]
    });

--- a/client/src/pages/api/plugins/kb/detail.ts
+++ b/client/src/pages/api/plugins/kb/detail.ts
@@ -2,7 +2,6 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
-import { getVectorModel } from '@/service/utils/data';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -34,7 +33,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
        avatar: data.avatar,
        name: data.name,
        userId: data.userId,
-        vectorModel: getVectorModel(data.vectorModel),
+        model: data.model,
        tags: data.tags.join(' ')
      }
    });
--- a/client/src/pages/api/plugins/kb/list.ts
+++ b/client/src/pages/api/plugins/kb/list.ts
@@ -3,7 +3,6 @@ import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { KbListItemType } from '@/types/plugin';
-import { getVectorModel } from '@/service/utils/data';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -16,7 +15,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
      {
        userId
      },
-      '_id avatar name tags vectorModel'
+      '_id avatar name tags'
    ).sort({ updateTime: -1 });

    const data = await Promise.all(
@@ -24,8 +23,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
        _id: item._id,
        avatar: item.avatar,
        name: item.name,
-        tags: item.tags,
-        vectorModel: getVectorModel(item.vectorModel)
+        tags: item.tags
      }))
    );

--- a/client/src/pages/api/plugins/kb/update.ts
+++ b/client/src/pages/api/plugins/kb/update.ts
@@ -2,7 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
-import type { KbUpdateParams } from '@/api/request/kb';
+import type { KbUpdateParams } from '@/api/plugins/kb';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
--- a/client/src/pages/api/plugins/urlFetch.ts
+++ b/client/src/pages/api/plugins/urlFetch.ts
@@ -1,71 +0,0 @@
-// pages/api/fetchContent.ts
-import { NextApiRequest, NextApiResponse } from 'next';
-import axios from 'axios';
-import { JSDOM } from 'jsdom';
-import { Readability } from '@mozilla/readability';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import type { FetchResultItem } from '@/types/plugin';
-import { simpleText } from '@/utils/file';
-
-export type UrlFetchResponse = FetchResultItem[];
-
-const fetchContent = async (req: NextApiRequest, res: NextApiResponse) => {
-  try {
-    let { urlList = [] } = req.body as { urlList: string[] };
-
-    if (!urlList || urlList.length === 0) {
-      throw new Error('urlList is empty');
-    }
-
-    await authUser({ req });
-
-    urlList = urlList.filter((url) => /^(http|https):\/\/[^ "]+$/.test(url));
-
-    const response = (
-      await Promise.allSettled(
-        urlList.map(async (url) => {
-          try {
-            const fetchRes = await axios.get(url, {
-              timeout: 30000
-            });
-
-            const dom = new JSDOM(fetchRes.data, {
-              url,
-              contentType: 'text/html'
-            });
-
-            const reader = new Readability(dom.window.document);
-            const article = reader.parse();
-
-            const content = article?.textContent || '';
-
-            return {
-              url,
-              content: simpleText(`${article?.title}\n${content}`)
-            };
-          } catch (error) {
-            return {
-              url,
-              content: ''
-            };
-          }
-        })
-      )
-    )
-      .filter((item) => item.status === 'fulfilled')
-      .map((item: any) => item.value)
-      .filter((item) => item.content);
-
-    jsonRes<UrlFetchResponse>(res, {
-      data: response
-    });
-  } catch (error: any) {
-    jsonRes(res, {
-      code: 500,
-      error: error
-    });
-  }
-};
-
-export default fetchContent;
--- a/client/src/pages/api/plusApi/[...path].ts
+++ b/client/src/pages/api/plusApi/[...path].ts
@@ -1,44 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { request } from '@/api/service/request';
-import type { Method } from 'axios';
-import { connectToDatabase } from '@/service/mongo';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await connectToDatabase();
-
-    const method = (req.method || 'POST') as Method;
-    const { path = [], ...query } = req.query as any;
-
-    const url = `/${path?.join('/')}`;
-
-    if (!url) {
-      throw new Error('url is empty');
-    }
-
-    const data = {
-      ...req.body,
-      ...query
-    };
-
-    const repose = await request(
-      url,
-      data,
-      {
-        // @ts-ignore
-        headers: req.headers
-      },
-      method
-    );
-
-    jsonRes(res, {
-      data: repose
-    });
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
--- a/client/src/pages/api/system/getInitData.ts
+++ b/client/src/pages/api/system/getInitData.ts
@@ -10,7 +10,7 @@ import {

 export type InitDateResponse = {
  chatModels: ChatModelItemType[];
-  qaModel: QAModelItemType;
+  qaModels: QAModelItemType[];
  vectorModels: VectorModelItemType[];
  feConfigs: FeConfigsType;
 };
@@ -23,7 +23,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    data: {
      feConfigs: global.feConfigs,
      chatModels: global.chatModels,
-      qaModel: global.qaModel,
+      qaModels: global.qaModels,
      vectorModels: global.vectorModels
    }
  });
@@ -40,49 +40,48 @@ const defaultFeConfigs = {
  show_appStore: false,
  show_userDetail: false,
  show_git: true,
-  systemTitle: 'FastGPT',
-  authorText: 'Made by FastGPT Team.'
+  systemTitle: 'FastAI',
+  authorText: 'Made by FastAI Team.'
 };
 const defaultChatModels = [
  {
    model: 'gpt-3.5-turbo',
-    name: 'GPT35-4k',
+    name: 'FastAI-4k',
    contextMaxToken: 4000,
    quoteMaxToken: 2400,
    maxTemperature: 1.2,
-    price: 0
+    price: 1.5
  },
  {
    model: 'gpt-3.5-turbo-16k',
-    name: 'GPT35-16k',
+    name: 'FastAI-16k',
    contextMaxToken: 16000,
    quoteMaxToken: 8000,
    maxTemperature: 1.2,
-    price: 0
+    price: 3
  },
  {
    model: 'gpt-4',
-    name: 'GPT4-8k',
+    name: 'FastAI-Plus',
    contextMaxToken: 8000,
    quoteMaxToken: 4000,
    maxTemperature: 1.2,
-    price: 0
+    price: 45
  }
 ];
-const defaultQAModel = {
-  model: 'gpt-3.5-turbo-16k',
-  name: 'GPT35-16k',
-  maxToken: 16000,
-  price: 0
-};
-
-const defaultVectorModels: VectorModelItemType[] = [
+const defaultQAModels = [
+  {
+    model: 'gpt-3.5-turbo-16k',
+    name: 'FastAI-16k',
+    maxToken: 16000,
+    price: 3
+  }
+];
+const defaultVectorModels = [
  {
    model: 'text-embedding-ada-002',
    name: 'Embedding-2',
-    price: 0,
-    defaultToken: 500,
-    maxToken: 3000
+    price: 0.2
  }
 ];

@@ -96,8 +95,9 @@ export async function getInitConfig() {
    global.systemEnv = res.SystemParams || defaultSystemEnv;
    global.feConfigs = res.FeConfig || defaultFeConfigs;
    global.chatModels = res.ChatModels || defaultChatModels;
-    global.qaModel = res.QAModel || defaultQAModel;
+    global.qaModels = res.QAModels || defaultQAModels;
    global.vectorModels = res.VectorModels || defaultVectorModels;
+    global.systemPlugins = res.plugins || {};
  } catch (error) {
    setDefaultData();
    console.log('get init config error, set default', error);
@@ -108,6 +108,7 @@ export function setDefaultData() {
  global.systemEnv = defaultSystemEnv;
  global.feConfigs = defaultFeConfigs;
  global.chatModels = defaultChatModels;
-  global.qaModel = defaultQAModel;
+  global.qaModels = defaultQAModels;
  global.vectorModels = defaultVectorModels;
+  global.systemPlugins = {};
 }
--- a/client/src/pages/api/user/account/gitLogin.ts
+++ b/client/src/pages/api/user/account/gitLogin.ts
@@ -24,7 +24,7 @@ type GithubUserType = {

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { code, inviterId } = req.query as { code: string; inviterId?: string };
+    const { code } = req.query as { code: string };

    const { data: gitAccessToken } = await axios.post<string>(
      `https://github.com/login/oauth/access_token?client_id=${global.feConfigs.gitLoginKey}&client_secret=${global.systemEnv.gitLoginSecret}&code=${code}`
@@ -51,7 +51,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    } catch (err: any) {
      if (err?.code === 500) {
        jsonRes(res, {
-          data: await registerUser({ username, avatar: avatar_url, res, inviterId })
+          data: await registerUser({ username, avatar: avatar_url, res })
        });
        return;
      }
@@ -88,19 +88,16 @@ export async function loginByUsername({
 export async function registerUser({
  username,
  avatar,
-  inviterId,
  res
 }: {
  username: string;
  avatar?: string;
-  inviterId?: string;
  res: NextApiResponse;
 }) {
  const response = await User.create({
    username,
    avatar,
-    password: nanoid(),
-    inviterId: inviterId ? inviterId : undefined
+    password: nanoid()
  });

  // 根据 id 获取用户信息
--- a/client/src/pages/api/user/account/paySuccess.ts
+++ b/client/src/pages/api/user/account/paySuccess.ts
@@ -1,30 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { TrainingData } from '@/service/mongo';
-import { startQueue } from '@/service/utils/tools';
-import { authUser } from '@/service/utils/auth';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { userId } = await authUser({ req, authToken: true });
-    await unlockTask(userId);
-  } catch (error) {}
-  jsonRes(res);
-}
-
-async function unlockTask(userId: string) {
-  try {
-    await TrainingData.updateMany(
-      {
-        userId
-      },
-      {
-        lockTime: new Date('2000/1/1')
-      }
-    );
-
-    startQueue();
-  } catch (error) {
-    unlockTask(userId);
-  }
-}
--- a/client/src/pages/api/user/account/register.ts
+++ b/client/src/pages/api/user/account/register.ts
@@ -0,0 +1,64 @@
+// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { User } from '@/service/models/user';
+import { connectToDatabase } from '@/service/mongo';
+import { generateToken, setCookie } from '@/service/utils/tools';
+import { UserAuthTypeEnum } from '@/constants/common';
+import { authCode } from '@/service/api/plugins';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    const { username, code, password, inviterId } = req.body;
+
+    if (!username || !code || !password) {
+      throw new Error('缺少参数');
+    }
+
+    await connectToDatabase();
+
+    // 验证码校验
+    await authCode({
+      username,
+      type: UserAuthTypeEnum.register,
+      code
+    });
+
+    // 重名校验
+    const authRepeat = await User.findOne({
+      username
+    });
+
+    if (authRepeat) {
+      throw new Error('该用户已被注册');
+    }
+
+    const response = await User.create({
+      username,
+      password,
+      inviterId: inviterId ? inviterId : undefined
+    });
+
+    // 根据 id 获取用户信息
+    const user = await User.findById(response._id);
+
+    if (!user) {
+      throw new Error('获取用户信息异常');
+    }
+
+    const token = generateToken(user._id);
+    setCookie(res, token);
+
+    jsonRes(res, {
+      data: {
+        user,
+        token
+      }
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/client/src/pages/api/user/account/updatePasswordByCode.ts
+++ b/client/src/pages/api/user/account/updatePasswordByCode.ts
@@ -0,0 +1,65 @@
+// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { User } from '@/service/models/user';
+import { connectToDatabase } from '@/service/mongo';
+import { UserAuthTypeEnum } from '@/constants/common';
+import { generateToken, setCookie } from '@/service/utils/tools';
+import { authCode } from '@/service/api/plugins';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    const { username, code, password } = req.body;
+
+    if (!username || !code || !password) {
+      throw new Error('缺少参数');
+    }
+
+    await connectToDatabase();
+
+    // 验证码校验
+    await authCode({
+      username,
+      code,
+      type: UserAuthTypeEnum.findPassword
+    });
+
+    if (!authCode) {
+      throw new Error('验证码错误');
+    }
+
+    // 更新对应的记录
+    await User.updateOne(
+      {
+        username
+      },
+      {
+        password
+      }
+    );
+
+    // 根据 username 获取用户信息
+    const user = await User.findOne({
+      username
+    });
+
+    if (!user) {
+      throw new Error('获取用户信息异常');
+    }
+
+    const token = generateToken(user._id);
+    setCookie(res, token);
+
+    jsonRes(res, {
+      data: {
+        user,
+        token
+      }
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
archer	5fed561471	fix: i18n next	2023-08-09 11:05:41 +08:00
archer	07dfce9b28	chat model config	2023-08-09 10:52:13 +08:00
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