v4.5 (#403 )

Extraction schema (#398 )
Docs: add quick start and video link (#395 )
2023-10-17 10:00:32 +08:00 · 2023-10-14 23:02:01 +08:00 · 2023-10-13 20:16:18 +08:00 · 2023-10-12 17:46:37 +08:00 · 2023-10-12 14:56:18 +08:00 · 2023-10-12 00:04:45 +08:00
847 changed files with 37391 additions and 50850 deletions
--- a/client/.dockerignore
+++ b/client/.dockerignore
--- a/.github/ISSUE_TEMPLATE/bugs.md
+++ b/.github/ISSUE_TEMPLATE/bugs.md
@@ -0,0 +1,30 @@
+---
+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**
+
+[//]: # '方框内填 x 表示打钩'
+
+- [ ] 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
+- [x] 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
@@ -0,0 +1,5 @@
+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
@@ -0,0 +1,23 @@
+---
+name: 功能请求
+about: 详细描述你期望的功能
+title: ''
+labels: enhancement
+assignees: ''
+---
+
+**例行检查**
+
+[//]: # '方框内填 x 表示打钩'
+
+- [ ] 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
+- [x] 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/gh-bot.yml
+++ b/.github/gh-bot.yml
@@ -0,0 +1,30 @@
+version: v1
+debug: true
+action:
+  printConfig: false
+  release:
+    retry: 15s
+    actionName: Release
+    allowOps:
+      - cuisongliu
+bot:
+  prefix: /
+  spe: _
+  allowOps:
+    - sealos-ci-robot
+    - sealos-release-robot
+  email: sealos-ci-robot@sealos.io
+  username: sealos-ci-robot
+repo:
+  org: false
+
+message:
+  success: |
+    🤖 says: Hooray! The action {{.Body}} has been completed successfully. 🎉
+  format_error: |
+    🤖 says: ‼️ There is a formatting issue with the action, kindly verify the action's format.
+  permission_error: |
+    🤖 says: ‼️ The action doesn't have permission to trigger.
+  release_error: |
+    🤖 says: ‼️ Release action failed.
+    Error details: {{.Error}}
--- a/.github/imgs/logo-left.svg
+++ b/.github/imgs/logo-left.svg
--- a/.github/imgs/logo.svg
+++ b/.github/imgs/logo.svg
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+<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/bot-issues-translator.yml
+++ b/.github/workflows/bot-issues-translator.yml
@@ -0,0 +1,19 @@
+name: 'Github Rebot for issues-translator'
+on:
+  issues:
+    types: [ opened ]
+  issue_comment:
+    types: [ created ]
+jobs:
+  translate:
+    permissions:
+      issues: write
+      discussions: write
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      - uses: usthe/issues-translate-action@v2.7
+        with:
+          IS_MODIFY_TITLE: true
+          BOT_GITHUB_TOKEN: ${{ secrets.GH_PAT }}
+          CUSTOM_BOT_NOTE: Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿
--- a/.github/workflows/deploy-docs.yml
+++ b/.github/workflows/deploy-docs.yml
@@ -54,9 +54,7 @@ jobs:

      # Step 4 - Builds the site using Hugo
      - name: Build
-        run: hugo -v --minify -s docSite
-        env:
-          HUGO_BASEURL: ${{ vars.BASE_URL }}
+        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify

      # Step 5 - Push our generated site to Vercel
      - name: Deploy to Vercel
@@ -69,3 +67,4 @@ jobs:
          github-comment: false
          vercel-args: '--prod --local-config ../vercel.json' # Optional
          working-directory: docSite/public
+
--- a/.github/workflows/deploy-preview.yml
+++ b/.github/workflows/deploy-preview.yml
@@ -0,0 +1,94 @@
+name: deploy-docs-preview
+
+on:
+  pull_request_target:
+    paths:
+      - 'docSite/**'
+    branches:
+      - 'main'
+  workflow_dispatch:
+
+# 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-preview:
+    # The environment this job references
+    environment:
+      name: Preview
+      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:
+      url: ${{ steps.vercel-action.outputs.preview-url }}
+
+    # 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:
+          ref: ${{ github.event.pull_request.head.ref }}
+          repository: ${{ github.event.pull_request.head.repo.full_name }}
+          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
+
+      # 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: '--local-config ../vercel.json' # Optional
+          working-directory: docSite/public
+          alias-domains: | #Optional
+            fastgpt-staging.vercel.app
+  docsOutput:
+    needs: [ deploy-preview ]
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          ref: ${{ github.event.pull_request.head.ref }}
+          repository: ${{ github.event.pull_request.head.repo.full_name }}
+      - name: Write md
+        run: |
+          echo "# 🤖 Generated by deploy action" > report.md
+          echo "[👀 Visit Preview](${{ needs.deploy-preview.outputs.url }})" >> report.md
+          cat report.md
+      - name: Gh Rebot for Sealos
+        uses: labring/gh-rebot@v0.0.6
+        if: ${{ (github.event_name == 'pull_request_target') }}
+        with:
+          version: v0.0.6
+        env:
+          GH_TOKEN: "${{ secrets.GH_PAT }}"
+          SEALOS_TYPE: "pr_comment"
+          SEALOS_FILENAME: "report.md"
+          SEALOS_REPLACE_TAG: "DEFAULT_REPLACE_DEPLOY"
--- a/.github/workflows/docs-image.yml
+++ b/.github/workflows/docs-image.yml
@@ -0,0 +1,98 @@
+name: Build FastGPT docs images and copy image to docker hub
+on:
+  workflow_dispatch:
+  push:
+    paths:
+      - 'docSite/**'
+    branches:
+      - 'main'
+    tags:
+      - 'v*.*.*'
+jobs:
+  build-fastgpt-docs-images:
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 1
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GH_PAT }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-docs:latest" >> $GITHUB_ENV
+          else
+            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-docs:${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Build and publish image for main branch or tag push event
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+        run: |
+          docker buildx build \
+          --build-arg name=app \
+          --platform linux/amd64,linux/arm64 \
+          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt image" \
+          --label "org.opencontainers.image.licenses=Apache" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${DOCKER_REPO_TAGGED} \
+          -f docSite/Dockerfile \
+          .
+  push-to-docker-hub:
+    needs: build-fastgpt-docs-images
+    runs-on: ubuntu-20.04
+    if: github.repository == 'labring/FastGPT'
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_HUB_NAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ 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-docs:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt-docs:${{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}}
+
+  update-docs-image:
+    needs: build-fastgpt-docs-images
+    runs-on: ubuntu-20.04
+    if: github.repository == 'labring/FastGPT'
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - uses: actions-hub/kubectl@master
+        env:
+          KUBE_CONFIG: ${{ secrets.KUBE_CONFIG }}
+        with:
+          args: rollout restart deployment fastgpt-docs
--- a/.github/workflows/fastgpt-image.yml
+++ b/.github/workflows/fastgpt-image.yml
@@ -1,9 +1,10 @@
-name: Build fastgpt images and copy image to docker hub
+name: Build FastGPT images and copy image to docker hub
 on:
  workflow_dispatch:
  push:
    paths:
-      - 'client/**'
+      - 'projects/app/**'
+      - 'packages/**'
    branches:
      - 'main'
    tags:
@@ -25,6 +26,13 @@ jobs:
        uses: docker/setup-buildx-action@v2
        with:
          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
      - name: Login to GitHub Container Registry
        uses: docker/login-action@v2
        with:
@@ -38,24 +46,26 @@ jobs:
          else
            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
          fi
-
      - name: Build and publish image for main branch or tag push event
        env:
          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
        run: |
-          cd client && \
          docker buildx build \
+          --build-arg name=app \
          --platform linux/amd64,linux/arm64 \
          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
          --label "org.opencontainers.image.description=fastgpt image" \
-          --label "org.opencontainers.image.licenses=MIT" \
+          --label "org.opencontainers.image.licenses=Apache" \
          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
          -t ${DOCKER_REPO_TAGGED} \
          -f Dockerfile \
          .
  push-to-docker-hub:
    needs: build-fastgpt-images
    runs-on: ubuntu-20.04
+    if: github.repository == 'labring/FastGPT'
    steps:
      - name: Checkout code
        uses: actions/checkout@v3
@@ -77,3 +87,29 @@ jobs:
        run: docker tag ghcr.io/${{ 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
+    if: github.repository == 'labring/FastGPT'
+    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/.github/workflows/preview-image.yml
+++ b/.github/workflows/preview-image.yml
@@ -0,0 +1,52 @@
+name: Preview FastGPT images
+on:
+  pull_request_target:
+    paths:
+      - 'projects/app/**'
+      - 'packages/**'
+    branches:
+      - 'main'
+  workflow_dispatch:
+
+jobs:
+  build-fastgpt-images:
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 1
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GH_PAT }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:${{ github.event.pull_request.number }}" >> $GITHUB_ENV
+      - name: Build image for PR
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+        run: |
+          docker buildx build \
+          --build-arg name=app \
+          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt-pr image" \
+          --label "org.opencontainers.image.licenses=Apache" \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${DOCKER_REPO_TAGGED} \
+          -f Dockerfile \
+          .
--- a/.gitignore
+++ b/.gitignore
@@ -33,4 +33,6 @@ dist/

 # hugo
 **/.hugo_build.lock
-docSite/public/
+docSite/public/
+docSite/resources/_gen/
+docSite/.vercel
--- a/.prettierignore
+++ b/.prettierignore
@@ -1,4 +1,5 @@
 dist
 .vscode
 **/.DS_Store
-node_modules
+node_modules
+docSite/
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -1,10 +1,10 @@
 {
    "editor.formatOnSave": true,
    "editor.mouseWheelZoom": true,
-    "typescript.tsdk": "client/node_modules/typescript/lib",
+    "typescript.tsdk": "node_modules/typescript/lib",
    "prettier.prettierPath": "./node_modules/prettier",
    "i18n-ally.localesPaths": [
-        "client/public/locales"
+        "projects/app/public/locales"
    ],
    "i18n-ally.enabledParsers": ["json"],
    "i18n-ally.keystyle": "nested",
--- a/68
+++ b/68
@@ -0,0 +1,68 @@
+# Install dependencies only when needed
+FROM node:current-alpine AS deps
+# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
+RUN apk add --no-cache libc6-compat && npm install -g pnpm
+WORKDIR /app
+
+ARG name
+
+# copy packages and one project
+COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
+COPY ./packages ./packages
+COPY ./projects/$name/package.json ./projects/$name/package.json
+
+RUN \
+  [ -f pnpm-lock.yaml ] && pnpm install || \
+  (echo "Lockfile not found." && exit 1)
+
+# Rebuild the source code only when needed
+FROM node:current-alpine AS builder
+WORKDIR /app
+
+ARG name
+
+# copy common node_modules and one project node_modules
+COPY package.json pnpm-workspace.yaml ./
+COPY --from=deps /app/node_modules ./node_modules
+COPY --from=deps /app/packages ./packages
+COPY ./projects/$name ./projects/$name
+COPY --from=deps /app/projects/$name/node_modules ./projects/$name/node_modules
+
+# Uncomment the following line in case you want to disable telemetry during the build.
+ENV NEXT_TELEMETRY_DISABLED 1
+RUN npm install -g pnpm
+RUN pnpm --filter=$name run build
+
+FROM node:current-alpine AS runner
+WORKDIR /app
+
+ARG name
+
+# create user and use it
+RUN addgroup --system --gid 1001 nodejs
+RUN adduser --system --uid 1001 nextjs
+
+RUN sed -i 's/https/http/' /etc/apk/repositories
+RUN apk add curl \
+  && apk add ca-certificates \
+  && update-ca-certificates
+
+# copy running files
+COPY --from=builder /app/projects/$name/public ./projects/$name/public
+COPY --from=builder /app/projects/$name/next.config.js ./projects/$name/next.config.js
+COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/standalone ./
+COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static ./projects/$name/.next/static
+# copy package.json to version file
+COPY --from=builder /app/projects/$name/package.json ./package.json 
+
+ENV NODE_ENV production
+ENV NEXT_TELEMETRY_DISABLED 1
+ENV PORT=3000
+
+EXPOSE 3000
+
+USER nextjs
+
+ENV serverPath=./projects/$name/server.js
+
+ENTRYPOINT ["sh","-c","node ${serverPath}"]
--- a/README.md
+++ b/README.md
@@ -4,21 +4,36 @@

 # FastGPT

+<p align="center">
+  <a href="./README_en.md">English</a> |
+  <a href="./README.md">简体中文</a>
+</p>
+
 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>
+  <a href="https://fastgpt.run/">
+    <img height="21" src="https://img.shields.io/badge/在线使用-fff?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/intro">
+    <img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/development">
+    <img height="21" src="https://img.shields.io/badge/本地开发-%23fff?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
+  </a>
+  <a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
+    <img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
+  </a>
+  <a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
+    <img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=fff&color=7d09f1" alt="license">
+  </a>
 </p>

-## 🛸 在线体验
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
+
+## 🛸 在线使用

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

@@ -31,38 +46,36 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开

 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] 用户对话前引导, 全局字符串变量
   - [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
+   - [ ] 嵌入 Laf，实现在线编写 HTTP 模块
+   - [x] 对话下一步指引
   - [ ] 对话多路线选择
-   - [ ] 源文件引用追踪
+   - [x] 源文件引用追踪
+   - [ ] 自定义文件阅读器
 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
+   - [x] 支持 手动输入, 直接分段, QA 拆分导入
+   - [x] 支持 url 读取、 CSV 批量导入
+   - [x] 支持知识库单独设置向量模型
+   - [x] 源文件存储
+   - [ ] 文件学习 Agent
 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
+   - [x] 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
+   - [x] 统一查阅对话记录，并对数据进行标注

 ## 👨‍💻 开发

@@ -76,25 +89,18 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开

  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)
+* [快开始本地开发](https://doc.fastgpt.run/docs/development/intro/)
 * [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)
+* [系统配置文件说明](https://doc.fastgpt.run/docs/development/configuration/)
+* [多模型配置](https://doc.fastgpt.run/docs/installation/one-api/)
+* [版本更新/升级介绍](https://doc.fastgpt.run/docs/installation/upgrading)
+* [API 文档](https://doc.fastgpt.run/docs/development/openapi/)

 ## 🏘️ 社区交流群

-| 交流群                                              | 小助手                                         |
-| --------------------------------------------------- | ---------------------------------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300-2.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
+添加 wx 小助手加入：

-## 👀 其他
-
- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
- [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/)
+![](https://otnvvf-imgs.oss.laf.run/wx300.jpg)

 ## 💪 相关项目

@@ -103,9 +109,15 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开
 - [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)

+## 👀 其他
+
+- [保姆级 FastGPT 教程](https://www.bilibili.com/video/BV1n34y1A7Bo/?spm_id_from=333.999.0.0)
+- [接入飞书](https://www.bilibili.com/video/BV1Su4y1r7R3/?spm_id_from=333.999.0.0)
+- [接入企微](https://www.bilibili.com/video/BV1Tp4y1n72T/?spm_id_from=333.999.0.0)
+
 ## 🤝 第三方生态

- [luolinAI: 企微机器人，开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.run/docs/use-cases/onwechat/)

 ## 🌟 Star History

@@ -113,9 +125,9 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开

 ## 使用协议

-本仓库遵循 [FstGPT Open Source License](./LICENSE) 开源协议。
+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。
+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 [FstGPT 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)
+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://doc.fastgpt.run/docs/commercial)
--- a/README_en.md
+++ b/README_en.md
@@ -1,25 +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 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!
+<p align="center">
+  <a href="./README_en.md">English</a> |
+  <a href="./README.md">简体中文</a>
+</p>
+
+FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!

 </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>
+  <a href="https://fastgpt.run/">
+    <img height="21" src="https://img.shields.io/badge/Website-fff?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/intro">
+    <img height="21" src="https://img.shields.io/badge/Docs-7d09f1?style=flat-square" alt="document">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/development">
+    <img height="21" src="https://img.shields.io/badge/Development-%23fff?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
+  </a>
+  <a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
+    <img height="21" src="https://img.shields.io/badge/Related Projects-7d09f1?style=flat-square" alt="project">
+  </a>
+  <a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
+    <img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=fff&color=7d09f1" alt="license">
+  </a>
 </p>

-## 🛸 Online
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
+
+## 🛸 Use Cloud Services

 [fastgpt.run](https://fastgpt.run/)
 | | |
@@ -29,35 +43,34 @@ FastGPT is a knowledge-based question answering system based on the LLM language

 ## 💡 Features

-1. Powerful visual orchestration for easy AI application building
+1. Powerful visual workflows: Effortlessly craft AI applications

-   - [x] Provides a simple mode without the need for orchestration operations
+   - [x] Simple mode on deck - no need for manual arrangement
   - [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
+   - [x] Dialogue via multiple LLM models
+   - [x] Text magic - convert to structured data
+   - [x] Extend with HTTP
+   - [ ] Embed Laf for on-the-fly HTTP module crafting
+   - [x] Directions for the next dialogue steps
+   - [ ] Multiple dialogue paths selection
+   - [x] Tracking source file references
+   - [ ] Custom file reader

-2. Rich knowledge base preprocessing
+2. Extensive 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
+   - [x] Reuse and mix multiple knowledge bases
+   - [x] Track chunk modifications and deletions
+   - [x] Supports manual entries, direct segmentation, and QA split imports
+   - [x] Supports URL fetching and batch CSV imports
+   - [x] Supports Set unique vector models for knowledge bases
+   - [x] Store original files
+   - [ ] File learning Agent

 3. Multiple effect testing channels

-   - [x] Knowledge base single point search testing
+   - [x] Single-point knowledge base search test
   - [x] Feedback references and ability to modify and delete during dialogue
   - [x] Complete context presentation
   - [ ] Complete module intermediate value presentation
@@ -77,14 +90,20 @@ FastGPT is a knowledge-based question answering system based on the LLM language

 Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)

+- **⚡ Deployment**
+
+  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
+
+  Give it a 2-4 minute wait after deployment as it sets up the database. Initially, it might be a tad slow since we're using the basic settings.
+
 - [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)
+- [Guide on System Configs](https://doc.fastgpt.run/docs/installation/reference)
+- [Configuring Multiple Models](https://doc.fastgpt.run/docs/installation/reference/models)
+- [Version Updates & Upgrades](https://doc.fastgpt.run/docs/installation/upgrading)

 <!-- ## :point_right: RoadMap
- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
+- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->

 <!-- ## 🏘️ Community

@@ -94,10 +113,10 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)

 ## 👀 Others

- [FastGpt FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [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/)
+- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)

 ## 💪 Related Projects

--- a/client/Dockerfile
+++ b/client/Dockerfile
@@ -1,65 +0,0 @@
-# Install dependencies only when needed
-FROM node:current-alpine AS deps
-# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
-RUN apk add --no-cache libc6-compat && npm install -g pnpm
-WORKDIR /app
-
-# Install dependencies based on the preferred package manager
-COPY package.json ./
-COPY pnpm-lock.yaml* ./
-RUN \
-  [ -f pnpm-lock.yaml ] && pnpm fetch || \
-  (echo "Lockfile not found." && exit 1)
-
-# Rebuild the source code only when needed
-FROM node:current-alpine AS builder
-WORKDIR /app
-COPY --from=deps /app/node_modules ./node_modules
-COPY pnpm-lock.yaml* ./
-COPY package.json ./
-COPY . .
-
-# Next.js collects completely anonymous telemetry data about general usage.
-# Learn more here: https://nextjs.org/telemetry
-# Uncomment the following line in case you want to disable telemetry during the build.
-ENV NEXT_TELEMETRY_DISABLED 1
-
-RUN npm install -g pnpm
-RUN \
-  [ -f pnpm-lock.yaml ] && (pnpm --offline install && pnpm run build) || \
-  (echo "Lockfile not found." && exit 1) 
-
-# Production image, copy all the files and run next
-FROM node:current-alpine AS runner
-WORKDIR /app
-
-ENV NODE_ENV production
-# Uncomment the following line in case you want to disable telemetry during runtime.
-ENV NEXT_TELEMETRY_DISABLED 1
-
-RUN addgroup --system --gid 1001 nodejs
-RUN adduser --system --uid 1001 nextjs
-
-RUN sed -i 's/https/http/' /etc/apk/repositories
-RUN apk add curl \
-  && apk add ca-certificates \
-  && update-ca-certificates
-
-# You only need to copy next.config.js if you are NOT using the default configuration
-# COPY --from=builder /app/next.config.js ./
-COPY --from=builder /app/public ./public
-COPY --from=builder /app/package.json ./package.json
-# COPY --from=builder /app/.env* .
-
-# Automatically leverage output traces to reduce image size
-# https://nextjs.org/docs/advanced-features/output-file-tracing
-COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
-COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
-
-USER nextjs
-
-ENV PORT=3000
-
-EXPOSE 3000
-
-CMD ["node", "server.js"]
--- a/client/data/config.json
+++ b/client/data/config.json
@@ -1,63 +0,0 @@
-{
-  "FeConfig": {
-    "show_emptyChat": true,
-    "show_register": false,
-    "show_appStore": false,
-    "show_userDetail": false,
-    "show_git": true,
-    "systemTitle": "FastGPT",
-    "authorText": "Made by FastGPT Team.",
-    "gitLoginKey": "",
-    "scripts": []
-  },
-  "SystemParams": {
-    "gitLoginSecret": "",
-    "vectorMaxProcess": 15,
-    "qaMaxProcess": 15,
-    "pgIvfflatProbe": 20
-  },
-  "ChatModels": [
-    {
-      "model": "gpt-3.5-turbo",
-      "name": "GPT35-4k",
-      "contextMaxToken": 4000,
-      "quoteMaxToken": 2000,
-      "maxTemperature": 1.2,
-      "price": 0,
-      "defaultSystem": ""
-    },
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
-      "contextMaxToken": 16000,
-      "quoteMaxToken": 8000,
-      "maxTemperature": 1.2,
-      "price": 0,
-      "defaultSystem": ""
-    },
-    {
-      "model": "gpt-4",
-      "name": "GPT4-8k",
-      "contextMaxToken": 8000,
-      "quoteMaxToken": 4000,
-      "maxTemperature": 1.2,
-      "price": 0,
-      "defaultSystem": ""
-    }
-  ],
-  "QAModels": [
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
-      "maxToken": 16000,
-      "price": 0
-    }
-  ],
-  "VectorModels": [
-    {
-      "model": "text-embedding-ada-002",
-      "name": "Embedding-2",
-      "price": 0
-    }
-  ]
-}
--- a/client/next-env.d.ts
+++ b/client/next-env.d.ts
@@ -1,5 +0,0 @@
-/// <reference types="next" />
-/// <reference types="next/image-types/global" />
-
-// NOTE: This file should not be edited
-// see https://nextjs.org/docs/basic-features/typescript for more information.
--- a/client/pnpm-lock.yaml
+++ b/client/pnpm-lock.yaml
--- a/client/public/docs/chatProblem.md
+++ b/client/public/docs/chatProblem.md
@@ -1,21 +0,0 @@
-### 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)
-
-**价格表**
-| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
-| --- | --- |
-| 知识库 - 索引 | 0.002 |
-| FastAI4k - 对话 | 0.015 |
-| FastAI16k - 对话 | 0.03 |
-| FastAI-Plus - 对话 | 0.45 |
-| 文件拆分 | 0.03 |
-
-**其他问题**
-| 交流群 | 小助手 |
-| ----------------------- | -------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
--- a/client/public/docs/versionIntro.md
+++ b/client/public/docs/versionIntro.md
@@ -1,8 +0,0 @@
-### Fast GPT V4.2
-
-1. 新增 - 应用日志初版，可观测到所有对话记录
-2. 新增 - 好友邀请链接，[点击查看](/account?currentTab=promotion)
-3. 新增 - Iframe 嵌入页面图标可拖拽
-4. 优化 - 知识库搜索提示词
-5. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
-6. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
--- 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
@@ -1,599 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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-</svg>
--- a/client/public/icon/logo2.png
+++ b/client/public/icon/logo2.png
--- a/client/public/locales/en/common.json
+++ b/client/public/locales/en/common.json
@@ -1,172 +0,0 @@
-{
-  "App": "App",
-  "Cancel": "No",
-  "Confirm": "Yes",
-  "Running": "Running",
-  "Warning": "Warning",
-  "UnKnow": "UnKnow",
-  "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",
-    "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",
-    "My Apps": "My Apps",
-    "Output Field Settings": "Output Field Settings",
-    "Paste Config": "Paste Config"
-  },
-  "chat": {
-    "Complete Response": "Complete Response",
-    "Confirm to clear history": "Confirm to clear history?",
-    "Exit Chat": "Exit",
-    "History": "History",
-    "New Chat": "New Chat",
-    "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"
-  },
-  "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"
-  },
-  "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",
-    "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"
-  },
-  "home": {
-    "AI Assistant": "AI Assistant",
-    "AI Assistant Desc": "",
-    "Advanced Settings": "",
-    "Advanced Settings Desc": "",
-    "Choice Debug": "Convenient Debugging",
-    "Choice Debug Desc": "Search testing, reference modification, full conversation preview and many other debugging ways",
-    "Choice Desc": "FastGPT follows the Apache License 2.0 open source protocol",
-    "Choice Extension": "Infinite Extension",
-    "Choice Extension Desc": "HTTP based extension, easy to achieve custom functions",
-    "Choice Models": "Multiple Models",
-    "Choice Models Desc": "",
-    "Choice Open": "Open",
-    "Choice Open Desc": "",
-    "Choice QA": "QA Struceture",
-    "Choice QA Desc": "The index is constructed with the structure of QA pairs, and ADAPTS to various scenarios such as Q&A and reading",
-    "Choice Visual": "Visual workflow",
-    "Choice Visual Desc": "Visualize modular operations, easily implement complex workflows, and make your AI no longer monolithic",
-    "Community": "Community",
-    "Dateset": "",
-    "Dateset Desc": "",
-    "Docs": "Docs",
-    "FastGPT Ability": "FastGPT Ability",
-    "FastGPT Desc": "FastGPT is a knowledgebase question answering system based on LLM large language model, which provides out-of-the-box data processing, model invocation and other capabilities. At the same time, workflow orchestration can be performed through Flow visualization to achieve complex Q&A scenarios!",
-    "Features": "Features",
-    "Footer Developer": "Developer",
-    "Footer Docs": "Docs",
-    "Footer FastGPT Cloud": "FastGPT Cloud",
-    "Footer Feedback": "Feedback",
-    "Footer Git": "Code",
-    "Footer Product": "Product",
-    "Footer Support": "Support",
-    "Login": "Login",
-    "Open": "",
-    "OpenAPI": "OpenAPI",
-    "OpenAPI Desc": "",
-    "Quickly build AI question and answer library": "Quickly build AI question and answer library",
-    "Start Now": "Start Now",
-    "Visual AI orchestration": "Visual AI orchestration",
-    "Why FastGPT": "",
-    "desc": "",
-    "slogan": ""
-  },
-  "navbar": {
-    "Account": "Account",
-    "Apps": "Apps",
-    "Chat": "Chat",
-    "Datasets": "DataSets",
-    "Store": "Store",
-    "Tools": "Tools"
-  },
-  "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",
-    "Sign Out": "Sign Out",
-    "Source": "Source",
-    "Time": "Time",
-    "Total Amount": "Total Amount",
-    "Update Password": "Update Password",
-    "Update password failed": "Update password failed",
-    "Update password succseful": "Update password succseful",
-    "Usage Record": "Usage",
-    "promotion": {
-      "pay": "",
-      "register": ""
-    }
-  }
-}
--- a/client/public/locales/zh/common.json
+++ b/client/public/locales/zh/common.json
@@ -1,172 +0,0 @@
-{
-  "App": "应用",
-  "Cancel": "取消",
-  "Confirm": "确认",
-  "Running": "运行中",
-  "Warning": "提示",
-  "UnKnow": "未知",
-  "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",
-    "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",
-    "My Apps": "我的应用",
-    "Output Field Settings": "输出字段编辑",
-    "Paste Config": "粘贴配置"
-  },
-  "chat": {
-    "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",
-    "History": "记录",
-    "New Chat": "新对话",
-    "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"
-  },
-  "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"
-  },
-  "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",
-    "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"
-  },
-  "home": {
-    "AI Assistant": "AI 客服",
-    "AI Assistant Desc": "无论对内还是对外，AI 将 24 小时为您的用户提供服务",
-    "Advanced Settings": "高级编排",
-    "Advanced Settings Desc": "基于 Flow 的流程编排模式，让你的 AI 轻松实现数据库查询、IO 操作、联网通信等扩展能力",
-    "Choice Debug": "调试便捷",
-    "Choice Debug Desc": "拥有搜索测试、引用修改、完整对话预览等多种调试途径",
-    "Choice Desc": "",
-    "Choice Extension": "无限扩展",
-    "Choice Extension Desc": "基于 HTTP 实现扩展，轻松实现定制功能",
-    "Choice Models": "支持多种模型",
-    "Choice Models Desc": "支持 GPT、Claude、文心一言等多模型",
-    "Choice Open": "更开放",
-    "Choice Open Desc": "FastGPT 遵循 Apache License 2.0 开源协议",
-    "Choice QA": "独特的 QA 结构",
-    "Choice QA Desc": "采用 QA 对的结构构建索引，适应问答、阅读等多种场景",
-    "Choice Visual": "可视化工作流",
-    "Choice Visual Desc": "可视化模块操作，轻松实现复杂工作流，让你的 AI 不再单一",
-    "Community": "社区",
-    "Dateset": "自动数据预处理",
-    "Dateset Desc": "提供手动输入、直接分段、LLM 自动处理和 CSV 等多种数据导入途径",
-    "Docs": "文档",
-    "FastGPT Ability": "FastGPT 能力",
-    "FastGPT Desc": "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！",
-    "Features": "特点",
-    "Footer Developer": "开发者",
-    "Footer Docs": "文档",
-    "Footer FastGPT Cloud": "FastGPT 线上服务",
-    "Footer Feedback": "反馈",
-    "Footer Git": "源码",
-    "Footer Product": "产品",
-    "Footer Support": "支持",
-    "Login": "登录",
-    "Open": "",
-    "OpenAPI": "OpenAPI",
-    "OpenAPI Desc": "与 GPT API 一致的对外接口，助你轻松接入已有应用",
-    "Quickly build AI question and answer library": "快速搭建 AI 问答系统",
-    "Start Now": "立即开始",
-    "Visual AI orchestration": "可视化 AI 编排",
-    "Why FastGPT": "为什么选择 FastGPT",
-    "desc": "基于 LLM 大模型的 AI 知识库问答平台",
-    "slogan": "让 AI 更懂你的知识"
-  },
-  "navbar": {
-    "Account": "账号",
-    "Apps": "应用",
-    "Chat": "聊天",
-    "Datasets": "知识库",
-    "Store": "应用市场",
-    "Tools": "工具"
-  },
-  "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",
-    "Sign Out": "登出",
-    "Source": "来源",
-    "Time": "时间",
-    "Total Amount": "总金额",
-    "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"
-    }
-  }
-}
--- a/client/src/api/openapi.ts
+++ b/client/src/api/openapi.ts
@@ -1,16 +0,0 @@
-import { GET, POST, DELETE } from './request';
-import { UserOpenApiKey } from '@/types/openapi';
-/**
- * crete a api key
- */
-export const createAOpenApiKey = () => POST<string>('/openapi/postKey');
-
-/**
- * get api keys
- */
-export const getOpenApiKeys = () => GET<UserOpenApiKey[]>('/openapi/getKeys');
-
-/**
- * delete api by id
- */
-export const delOpenApiById = (id: string) => DELETE(`/openapi/delKey?id=${id}`);
--- a/client/src/api/plugins/common.ts
+++ b/client/src/api/plugins/common.ts
@@ -1,6 +0,0 @@
-import { GET, POST, PUT, DELETE } from '../request';
-
-import type { FetchResultItem } from '@/types/plugin';
-
-export const fetchUrls = (urlList: string[]) =>
-  POST<FetchResultItem[]>(`/plugins/urlFetch`, { urlList });
--- a/client/src/api/plugins/kb.ts
+++ b/client/src/api/plugins/kb.ts
@@ -1,96 +0,0 @@
-import { GET, POST, PUT, DELETE } from '../request';
-import type { KbItemType, KbListItemType } from '@/types/plugin';
-import { RequestPaging } from '@/types/index';
-import { TrainingModeEnum } from '@/constants/plugin';
-import {
-  Props as PushDataProps,
-  Response as PushDateResponse
-} from '@/pages/api/openapi/kb/pushData';
-import {
-  Props as SearchTestProps,
-  Response as SearchTestResponse
-} from '@/pages/api/openapi/kb/searchTest';
-import { Response as KbDataItemType } from '@/pages/api/plugins/kb/data/getDataById';
-import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
-
-export type KbUpdateParams = {
-  id: string;
-  name: string;
-  tags: string;
-  avatar: string;
-};
-
-/* knowledge base */
-export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);
-
-export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
-
-export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
-
-export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
-
-export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
-
-/* kb data */
-type GetKbDataListProps = RequestPaging & {
-  kbId: string;
-  searchText: string;
-};
-export const getKbDataList = (data: GetKbDataListProps) =>
-  POST(`/plugins/kb/data/getDataList`, data);
-
-/**
- * 获取导出数据（不分页）
- */
-export const getExportDataList = (kbId: string) =>
-  GET<[string, string, string][]>(
-    `/plugins/kb/data/exportModelData`,
-    { kbId },
-    {
-      timeout: 600000
-    }
-  );
-
-/**
- * 获取模型正在拆分数据的数量
- */
-export const getTrainingData = (data: { kbId: string; init: boolean }) =>
-  POST<{
-    qaListLen: number;
-    vectorListLen: number;
-  }>(`/plugins/kb/data/getTrainingData`, data);
-
-/* get length of system training queue */
-export const getTrainingQueueLen = () => GET<number>(`/plugins/kb/data/getQueueLen`);
-
-export const getKbDataItemById = (dataId: string) =>
-  GET<KbDataItemType>(`/plugins/kb/data/getDataById`, { dataId });
-
-/**
- * 直接push数据
- */
-export const postKbDataFromList = (data: PushDataProps) =>
-  POST<PushDateResponse>(`/openapi/kb/pushData`, data);
-
-/**
- * 更新一条数据
- */
-export const putKbDataById = (data: UpdateDataProps) => PUT('/openapi/kb/updateData', data);
-/**
- * 删除一条知识库数据
- */
-export const delOneKbDataByDataId = (dataId: string) =>
-  DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
-
-/**
- * 拆分数据
- */
-export const postSplitData = (data: {
-  kbId: string;
-  chunks: string[];
-  prompt: string;
-  mode: `${TrainingModeEnum}`;
-}) => POST(`/openapi/text/pushData`, data);
-
-export const searchText = (data: SearchTestProps) =>
-  POST<SearchTestResponse>(`/openapi/kb/searchTest`, data);
--- 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/system.ts
+++ b/client/src/api/system.ts
@@ -1,6 +0,0 @@
-import { GET, POST, PUT } from './request';
-import type { InitDateResponse } from '@/pages/api/system/getInitData';
-
-export const getInitData = () => GET<InitDateResponse>('/system/getInitData');
-
-export const uploadImg = (base64Img: string) => POST<string>('/system/uploadImage', { base64Img });
--- a/client/src/components/APIKeyModal/index.tsx
+++ b/client/src/components/APIKeyModal/index.tsx
@@ -1,143 +0,0 @@
-import React, { useState } from 'react';
-import {
-  Box,
-  Button,
-  Flex,
-  ModalFooter,
-  ModalBody,
-  Table,
-  Thead,
-  Tbody,
-  Tr,
-  Th,
-  Td,
-  TableContainer,
-  IconButton
-} from '@chakra-ui/react';
-import { getOpenApiKeys, createAOpenApiKey, delOpenApiById } from '@/api/openapi';
-import { useQuery, useMutation } from '@tanstack/react-query';
-import { useLoading } from '@/hooks/useLoading';
-import dayjs from 'dayjs';
-import { AddIcon, DeleteIcon } from '@chakra-ui/icons';
-import { getErrText, useCopyData } from '@/utils/tools';
-import { useToast } from '@/hooks/useToast';
-import MyIcon from '../Icon';
-import MyModal from '../MyModal';
-
-const APIKeyModal = ({ onClose }: { onClose: () => void }) => {
-  const { Loading } = useLoading();
-  const { toast } = useToast();
-  const {
-    data: apiKeys = [],
-    isLoading: isGetting,
-    refetch
-  } = useQuery(['getOpenApiKeys'], getOpenApiKeys);
-  const [apiKey, setApiKey] = useState('');
-  const { copyData } = useCopyData();
-
-  const { mutate: onclickCreateApiKey, isLoading: isCreating } = useMutation({
-    mutationFn: () => createAOpenApiKey(),
-    onSuccess(res) {
-      setApiKey(res);
-      refetch();
-    },
-    onError(err) {
-      toast({
-        status: 'warning',
-        title: getErrText(err)
-      });
-    }
-  });
-
-  const { mutate: onclickRemove, isLoading: isDeleting } = useMutation({
-    mutationFn: async (id: string) => delOpenApiById(id),
-    onSuccess() {
-      refetch();
-    }
-  });
-
-  return (
-    <MyModal isOpen onClose={onClose} w={'600px'}>
-      <Box py={3} px={5}>
-        <Box fontWeight={'bold'} fontSize={'2xl'}>
-          API 秘钥管理
-        </Box>
-        <Box fontSize={'sm'} color={'myGray.600'}>
-          如果你不想 API 秘钥被滥用，请勿将秘钥直接放置在前端使用~
-        </Box>
-      </Box>
-      <ModalBody minH={'300px'} maxH={['70vh', '500px']} overflow={'overlay'}>
-        <TableContainer mt={2} position={'relative'}>
-          <Table>
-            <Thead>
-              <Tr>
-                <Th>Api Key</Th>
-                <Th>创建时间</Th>
-                <Th>最后一次使用时间</Th>
-                <Th />
-              </Tr>
-            </Thead>
-            <Tbody fontSize={'sm'}>
-              {apiKeys.map(({ id, apiKey, createTime, lastUsedTime }) => (
-                <Tr key={id}>
-                  <Td>{apiKey}</Td>
-                  <Td>{dayjs(createTime).format('YYYY/MM/DD HH:mm:ss')}</Td>
-                  <Td>
-                    {lastUsedTime
-                      ? dayjs(lastUsedTime).format('YYYY/MM/DD HH:mm:ss')
-                      : '没有使用过'}
-                  </Td>
-                  <Td>
-                    <IconButton
-                      icon={<DeleteIcon />}
-                      size={'xs'}
-                      aria-label={'delete'}
-                      variant={'base'}
-                      colorScheme={'gray'}
-                      onClick={() => onclickRemove(id)}
-                    />
-                  </Td>
-                </Tr>
-              ))}
-            </Tbody>
-          </Table>
-        </TableContainer>
-      </ModalBody>
-
-      <ModalFooter>
-        <Button
-          variant="base"
-          leftIcon={<AddIcon color={'myGray.600'} fontSize={'sm'} />}
-          onClick={() => onclickCreateApiKey()}
-        >
-          新建秘钥
-        </Button>
-      </ModalFooter>
-
-      <Loading loading={isGetting || isCreating || isDeleting} fixed={false} />
-      <MyModal isOpen={!!apiKey} w={'400px'} onClose={() => setApiKey('')}>
-        <Box py={3} px={5}>
-          <Box fontWeight={'bold'} fontSize={'2xl'}>
-            新的 API 秘钥
-          </Box>
-          <Box fontSize={'sm'} color={'myGray.600'}>
-            请保管好你的秘钥，秘钥不会再次展示~
-          </Box>
-        </Box>
-        <ModalBody>
-          <Flex bg={'myGray.100'} px={3} py={2} cursor={'pointer'} onClick={() => copyData(apiKey)}>
-            <Box flex={1}>{apiKey}</Box>
-            <MyIcon name={'copy'} w={'16px'}></MyIcon>
-          </Flex>
-        </ModalBody>
-        <ModalFooter>
-          <Button variant="base" onClick={() => setApiKey('')}>
-            好的
-          </Button>
-        </ModalFooter>
-      </MyModal>
-    </MyModal>
-  );
-};
-
-export default APIKeyModal;
--- 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
@@ -1,862 +0,0 @@
-import React, {
-  useCallback,
-  useRef,
-  useState,
-  useMemo,
-  forwardRef,
-  useImperativeHandle,
-  ForwardedRef,
-  useEffect
-} from 'react';
-import { throttle } from 'lodash';
-import {
-  ChatHistoryItemResType,
-  ChatItemType,
-  ChatSiteItemType,
-  ExportChatType
-} from '@/types/chat';
-import { useToast } from '@/hooks/useToast';
-import {
-  useCopyData,
-  voiceBroadcast,
-  cancelBroadcast,
-  hasVoiceApi,
-  getErrText
-} 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';
-import { useMarkdown } from '@/hooks/useMarkdown';
-import { VariableItemType } from '@/types/app';
-import { VariableInputEnum } from '@/constants/app';
-import { useForm } from 'react-hook-form';
-import { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';
-import { fileDownload } from '@/utils/file';
-import { htmlTemplate } from '@/constants/common';
-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 MyIcon from '@/components/Icon';
-import Avatar from '@/components/Avatar';
-import Markdown from '@/components/Markdown';
-import MySelect from '@/components/Select';
-import MyTooltip from '../MyTooltip';
-import dynamic from 'next/dynamic';
-const ResponseTags = dynamic(() => import('./ResponseTags'));
-
-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>;
-  generatingMessage: (e: generatingMessageProps) => void;
-};
-
-export type ComponentRef = {
-  getChatHistory: () => ChatSiteItemType[];
-  resetVariables: (data?: Record<string, any>) => void;
-  resetHistory: (chatId: ChatSiteItemType[]) => void;
-  scrollToBottom: (behavior?: 'smooth' | 'auto') => void;
-};
-
-const VariableLabel = ({
-  required = false,
-  children
-}: {
-  required?: boolean;
-  children: React.ReactNode | string;
-}) => (
-  <Box as={'label'} display={'inline-block'} position={'relative'} mb={1}>
-    {children}
-    {required && (
-      <Box position={'absolute'} top={'-2px'} right={'-10px'} color={'red.500'} fontWeight={'bold'}>
-        *
-      </Box>
-    )}
-  </Box>
-);
-
-const Empty = () => {
-  const { data: chatProblem } = useMarkdown({ url: '/chatProblem.md' });
-  const { data: versionIntro } = useMarkdown({ url: '/versionIntro.md' });
-
-  return (
-    <Box pt={6} w={'85%'} maxW={'600px'} m={'auto'} alignItems={'center'} justifyContent={'center'}>
-      {/* version intro */}
-      <Card p={4} mb={10} minH={'200px'}>
-        <Markdown source={versionIntro} />
-      </Card>
-      <Card p={4} minH={'600px'}>
-        <Markdown source={chatProblem} />
-      </Card>
-    </Box>
-  );
-};
-
-const ChatAvatar = ({ src, type }: { src?: string; type: 'Human' | 'AI' }) => {
-  const theme = useTheme();
-  return (
-    <Box
-      w={['28px', '34px']}
-      h={['28px', '34px']}
-      p={'2px'}
-      borderRadius={'lg'}
-      border={theme.borders.base}
-      boxShadow={'0 0 5px rgba(0,0,0,0.1)'}
-      bg={type === 'Human' ? 'white' : 'myBlue.100'}
-    >
-      <Avatar src={src} w={'100%'} h={'100%'} />
-    </Box>
-  );
-};
-
-const ChatBox = (
-  {
-    showEmptyIntro = false,
-    chatId,
-    appAvatar,
-    userAvatar,
-    variableModules,
-    welcomeText,
-    onUpdateVariable,
-    onStartChat,
-    onDelMessage
-  }: {
-    showEmptyIntro?: boolean;
-    chatId?: string;
-    appAvatar?: string;
-    userAvatar?: string;
-    variableModules?: VariableItemType[];
-    welcomeText?: string;
-    onUpdateVariable?: (e: Record<string, any>) => void;
-    onStartChat?: (e: StartChatFnProps) => Promise<{
-      responseText: string;
-      [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
-    }>;
-    onDelMessage?: (e: { contentId?: string; index: number }) => void;
-  },
-  ref: ForwardedRef<ComponentRef>
-) => {
-  const ChatBoxRef = useRef<HTMLDivElement>(null);
-  const theme = useTheme();
-  const router = useRouter();
-  const { t } = useTranslation();
-  const { copyData } = useCopyData();
-  const { toast } = useToast();
-  const { isPc } = useGlobalStore();
-  const TextareaDom = useRef<HTMLTextAreaElement>(null);
-  const controller = useRef(new AbortController());
-
-  const [refresh, setRefresh] = useState(false);
-  const [variables, setVariables] = useState<Record<string, any>>({});
-  const [chatHistory, setChatHistory] = useState<ChatSiteItemType[]>([]);
-
-  const isChatting = useMemo(
-    () =>
-      chatHistory[chatHistory.length - 1] &&
-      chatHistory[chatHistory.length - 1]?.status !== 'finish',
-    [chatHistory]
-  );
-  const variableIsFinish = useMemo(() => {
-    if (!variableModules || chatHistory.length > 0) return true;
-
-    for (let i = 0; i < variableModules.length; i++) {
-      const item = variableModules[i];
-      if (item.required && !variables[item.key]) {
-        return false;
-      }
-    }
-
-    return true;
-  }, [chatHistory.length, variableModules, variables]);
-
-  const { register, reset, getValues, setValue, handleSubmit } = useForm<Record<string, any>>({
-    defaultValues: variables
-  });
-
-  // 滚动到底部
-  const scrollToBottom = useCallback(
-    (behavior: 'smooth' | 'auto' = 'smooth') => {
-      if (!ChatBoxRef.current) return;
-      ChatBoxRef.current.scrollTo({
-        top: ChatBoxRef.current.scrollHeight,
-        behavior
-      });
-    },
-    [ChatBoxRef]
-  );
-  // 聊天信息生成中……获取当前滚动条位置，判断是否需要滚动到底部
-  const generatingScroll = useCallback(
-    throttle(() => {
-      if (!ChatBoxRef.current) return;
-      const isBottom =
-        ChatBoxRef.current.scrollTop + ChatBoxRef.current.clientHeight + 150 >=
-        ChatBoxRef.current.scrollHeight;
-
-      isBottom && scrollToBottom('auto');
-    }, 100),
-    []
-  );
-  // eslint-disable-next-line react-hooks/exhaustive-deps
-  const generatingMessage = useCallback(
-    ({ text = '', status, name }: generatingMessageProps) => {
-      setChatHistory((state) =>
-        state.map((item, index) => {
-          if (index !== state.length - 1) return item;
-          return {
-            ...item,
-            ...(text
-              ? {
-                  value: item.value + text
-                }
-              : {}),
-            ...(status && name
-              ? {
-                  status,
-                  moduleName: name
-                }
-              : {})
-          };
-        })
-      );
-      generatingScroll();
-    },
-    [generatingScroll, setChatHistory]
-  );
-
-  // 复制内容
-  const onclickCopy = useCallback(
-    (value: string) => {
-      copyData(value);
-    },
-    [copyData]
-  );
-
-  // 重置输入内容
-  const resetInputVal = useCallback((val: string) => {
-    if (!TextareaDom.current) return;
-
-    setTimeout(() => {
-      /* 回到最小高度 */
-      if (TextareaDom.current) {
-        TextareaDom.current.value = val;
-        TextareaDom.current.style.height =
-          val === '' ? textareaMinH : `${TextareaDom.current.scrollHeight}px`;
-      }
-    }, 100);
-  }, []);
-
-  /**
-   * user confirm send prompt
-   */
-  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',
-          status: 'warning'
-        });
-        return;
-      }
-      // get input value
-      const val = inputVal.trim();
-
-      if (!val) {
-        toast({
-          title: '内容为空',
-          status: 'warning'
-        });
-        return;
-      }
-
-      const newChatList: ChatSiteItemType[] = [
-        ...chatHistory,
-        {
-          dataId: nanoid(),
-          obj: 'Human',
-          value: val,
-          status: 'finish'
-        },
-        {
-          dataId: nanoid(),
-          obj: 'AI',
-          value: '',
-          status: 'loading'
-        }
-      ];
-
-      // 插入内容
-      setChatHistory(newChatList);
-
-      // 清空输入内容
-      resetInputVal('');
-      setTimeout(() => {
-        scrollToBottom();
-      }, 100);
-
-      try {
-        // create abort obj
-        const abortSignal = new AbortController();
-        controller.current = abortSignal;
-
-        const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });
-
-        const { responseData } = await onStartChat({
-          chatList: newChatList,
-          messages,
-          controller: abortSignal,
-          generatingMessage,
-          variables: {
-            ...getDefaultChatVariables(),
-            ...variables
-          }
-        });
-
-        // set finish status
-        setChatHistory((state) =>
-          state.map((item, index) => {
-            if (index !== state.length - 1) return item;
-            return {
-              ...item,
-              status: 'finish',
-              responseData
-            };
-          })
-        );
-
-        setTimeout(() => {
-          generatingScroll();
-          isPc && TextareaDom.current?.focus();
-        }, 100);
-      } catch (err: any) {
-        toast({
-          title: getErrText(err, '聊天出错了~'),
-          status: 'error',
-          duration: 5000,
-          isClosable: true
-        });
-
-        if (!err?.responseText) {
-          resetInputVal(inputVal);
-          setChatHistory(newChatList.slice(0, newChatList.length - 2));
-        }
-
-        // set finish status
-        setChatHistory((state) =>
-          state.map((item, index) => {
-            if (index !== state.length - 1) return item;
-            return {
-              ...item,
-              status: 'finish'
-            };
-          })
-        );
-      }
-    },
-    [
-      isChatting,
-      chatHistory,
-      resetInputVal,
-      toast,
-      scrollToBottom,
-      onStartChat,
-      generatingMessage,
-      generatingScroll,
-      isPc
-    ]
-  );
-
-  useImperativeHandle(ref, () => ({
-    getChatHistory: () => chatHistory,
-    resetVariables(e) {
-      const defaultVal: Record<string, any> = {};
-      variableModules?.forEach((item) => {
-        defaultVal[item.key] = '';
-      });
-
-      reset(e || defaultVal);
-      setVariables(e || defaultVal);
-    },
-    resetHistory(e) {
-      setChatHistory(e);
-    },
-    scrollToBottom
-  }));
-
-  const controlIconStyle = {
-    w: '14px',
-    cursor: 'pointer',
-    p: 1,
-    bg: 'white',
-    borderRadius: 'lg',
-    boxShadow: '0 0 5px rgba(0,0,0,0.1)',
-    border: theme.borders.base,
-    mr: 3
-  };
-  const controlContainerStyle = {
-    className: 'control',
-    color: 'myGray.400',
-    display: ['flex', 'none'],
-    pl: 1,
-    mt: 2
-  };
-  const MessageCardStyle: BoxProps = {
-    px: 4,
-    py: 3,
-    borderRadius: '0 8px 8px 8px',
-    boxShadow: '0 0 8px rgba(0,0,0,0.15)'
-  };
-
-  const messageCardMaxW = ['calc(100% - 25px)', 'calc(100% - 40px)'];
-
-  const showEmpty = useMemo(
-    () =>
-      feConfigs?.show_emptyChat &&
-      showEmptyIntro &&
-      chatHistory.length === 0 &&
-      !variableModules?.length &&
-      !welcomeText,
-    [chatHistory.length, showEmptyIntro, variableModules, welcomeText]
-  );
-  const statusBoxData = useMemo(() => {
-    const colorMap = {
-      loading: '#67c13b',
-      running: '#67c13b',
-      finish: 'myBlue.600'
-    };
-    if (!isChatting) return;
-    const chatContent = chatHistory[chatHistory.length - 1];
-    if (!chatContent) return;
-
-    return {
-      bg: colorMap[chatContent.status] || colorMap.loading,
-      name: t(chatContent.moduleName || 'Running')
-    };
-  }, [chatHistory, isChatting, t]);
-
-  useEffect(() => {
-    return () => {
-      controller.current?.abort('leave');
-      // close voice
-      cancelBroadcast();
-    };
-  }, [router.query]);
-
-  useEffect(() => {
-    const listen = () => {
-      cancelBroadcast();
-    };
-    window.addEventListener('beforeunload', listen);
-
-    return () => {
-      window.removeEventListener('beforeunload', listen);
-    };
-  }, []);
-
-  return (
-    <Flex flexDirection={'column'} h={'100%'}>
-      <Box ref={ChatBoxRef} flex={'1 0 0'} h={0} w={'100%'} overflow={'overlay'} px={[4, 0]} pb={3}>
-        <Box maxW={['100%', '92%']} h={'100%'} mx={'auto'}>
-          {showEmpty && <Empty />}
-
-          {!!welcomeText && (
-            <Flex flexDirection={'column'} alignItems={'flex-start'} py={2}>
-              {/* avatar */}
-              <ChatAvatar src={appAvatar} type={'AI'} />
-              {/* message */}
-              <Card order={2} mt={2} {...MessageCardStyle} bg={'white'} maxW={messageCardMaxW}>
-                <Markdown
-                  source={`~~~guide \n${welcomeText}`}
-                  isChatting={false}
-                  onClick={(e) => {
-                    const val = e?.data;
-                    if (e?.event !== EventNameEnum.guideClick || !val) return;
-                    handleSubmit((data) => sendPrompt(data, val))();
-                  }}
-                />
-              </Card>
-            </Flex>
-          )}
-          {/* variable input */}
-          {!!variableModules?.length && (
-            <Flex flexDirection={'column'} alignItems={'flex-start'} py={2}>
-              {/* avatar */}
-              <ChatAvatar src={appAvatar} type={'AI'} />
-              {/* message */}
-              <Card
-                order={2}
-                mt={2}
-                bg={'white'}
-                w={'400px'}
-                maxW={messageCardMaxW}
-                {...MessageCardStyle}
-              >
-                {variableModules.map((item) => (
-                  <Box key={item.id} mb={4}>
-                    <VariableLabel required={item.required}>{item.label}</VariableLabel>
-                    {item.type === VariableInputEnum.input && (
-                      <Input
-                        isDisabled={variableIsFinish}
-                        {...register(item.key, {
-                          required: item.required
-                        })}
-                      />
-                    )}
-                    {item.type === VariableInputEnum.select && (
-                      <MySelect
-                        width={'100%'}
-                        isDisabled={variableIsFinish}
-                        list={(item.enums || []).map((item) => ({
-                          label: item.value,
-                          value: item.value
-                        }))}
-                        value={getValues(item.key)}
-                        onchange={(e) => {
-                          setValue(item.key, e);
-                          setRefresh(!refresh);
-                        }}
-                      />
-                    )}
-                  </Box>
-                ))}
-                {!variableIsFinish && (
-                  <Button
-                    leftIcon={<MyIcon name={'chatFill'} w={'16px'} />}
-                    size={'sm'}
-                    maxW={'100px'}
-                    borderRadius={'lg'}
-                    onClick={handleSubmit((data) => {
-                      onUpdateVariable?.(data);
-                      setVariables(data);
-                    })}
-                  >
-                    {'开始对话'}
-                  </Button>
-                )}
-              </Card>
-            </Flex>
-          )}
-
-          {/* chat history */}
-          <Box id={'history'}>
-            {chatHistory.map((item, index) => (
-              <Flex
-                position={'relative'}
-                key={item.dataId}
-                flexDirection={'column'}
-                alignItems={item.obj === 'Human' ? 'flex-end' : 'flex-start'}
-                py={5}
-                _hover={{
-                  '& .control': {
-                    display: item.status === 'finish' ? 'flex' : 'none'
-                  }
-                }}
-              >
-                {item.obj === 'Human' && (
-                  <>
-                    <Flex w={'100%'} alignItems={'center'} justifyContent={'flex-end'}>
-                      <Flex {...controlContainerStyle} justifyContent={'flex-end'} mr={3}>
-                        <MyTooltip label={'复制'}>
-                          <MyIcon
-                            {...controlIconStyle}
-                            name={'copy'}
-                            _hover={{ color: 'myBlue.700' }}
-                            onClick={() => onclickCopy(item.value)}
-                          />
-                        </MyTooltip>
-                        {onDelMessage && (
-                          <MyTooltip label={'删除'}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              mr={0}
-                              name={'delete'}
-                              _hover={{ color: 'red.600' }}
-                              onClick={() => {
-                                setChatHistory((state) =>
-                                  state.filter((chat) => chat.dataId !== item.dataId)
-                                );
-                                onDelMessage({
-                                  contentId: item.dataId,
-                                  index
-                                });
-                              }}
-                            />
-                          </MyTooltip>
-                        )}
-                      </Flex>
-                      <ChatAvatar src={userAvatar} type={'Human'} />
-                    </Flex>
-                    <Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
-                      <Card
-                        className="markdown"
-                        whiteSpace={'pre-wrap'}
-                        {...MessageCardStyle}
-                        bg={'myBlue.300'}
-                        borderRadius={'8px 0 8px 8px'}
-                      >
-                        <Box as={'p'}>{item.value}</Box>
-                      </Card>
-                    </Box>
-                  </>
-                )}
-                {item.obj === 'AI' && (
-                  <>
-                    <Flex w={'100%'} alignItems={'flex-end'}>
-                      <ChatAvatar src={appAvatar} type={'AI'} />
-                      <Flex {...controlContainerStyle} ml={3}>
-                        <MyTooltip label={'复制'}>
-                          <MyIcon
-                            {...controlIconStyle}
-                            name={'copy'}
-                            _hover={{ color: 'myBlue.700' }}
-                            onClick={() => onclickCopy(item.value)}
-                          />
-                        </MyTooltip>
-                        {onDelMessage && (
-                          <MyTooltip label={'删除'}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              name={'delete'}
-                              _hover={{ color: 'red.600' }}
-                              onClick={() => {
-                                setChatHistory((state) =>
-                                  state.filter((chat) => chat.dataId !== item.dataId)
-                                );
-                                onDelMessage({
-                                  contentId: item.dataId,
-                                  index
-                                });
-                              }}
-                            />
-                          </MyTooltip>
-                        )}
-                        {hasVoiceApi && (
-                          <MyTooltip label={'语音播报'}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              name={'voice'}
-                              _hover={{ color: '#E74694' }}
-                              onClick={() => voiceBroadcast({ text: item.value })}
-                            />
-                          </MyTooltip>
-                        )}
-                      </Flex>
-                      {statusBoxData && index === chatHistory.length - 1 && (
-                        <Flex
-                          ml={3}
-                          alignItems={'center'}
-                          px={3}
-                          py={'1px'}
-                          borderRadius="md"
-                          border={theme.borders.base}
-                        >
-                          <Box
-                            className={styles.statusAnimation}
-                            bg={statusBoxData.bg}
-                            w="8px"
-                            h="8px"
-                            borderRadius={'50%'}
-                            mt={'1px'}
-                          ></Box>
-                          <Box ml={2} color={'myGray.600'}>
-                            {statusBoxData.name}
-                          </Box>
-                        </Flex>
-                      )}
-                    </Flex>
-                    <Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
-                      <Card bg={'white'} {...MessageCardStyle}>
-                        <Markdown
-                          source={item.value}
-                          isChatting={index === chatHistory.length - 1 && isChatting}
-                        />
-                        <ResponseTags
-                          chatId={chatId}
-                          contentId={item.dataId}
-                          responseData={item.responseData}
-                        />
-                      </Card>
-                    </Box>
-                  </>
-                )}
-              </Flex>
-            ))}
-          </Box>
-        </Box>
-      </Box>
-      {/* input */}
-      {onStartChat && variableIsFinish ? (
-        <Box m={['0 auto', '10px auto']} w={'100%'} maxW={['auto', 'min(750px, 100%)']} px={[0, 5]}>
-          <Box
-            py={'18px'}
-            position={'relative'}
-            boxShadow={`0 0 10px rgba(0,0,0,0.2)`}
-            borderTop={['1px solid', 0]}
-            borderTopColor={'myGray.200'}
-            borderRadius={['none', 'md']}
-            backgroundColor={'white'}
-          >
-            {/* 输入框 */}
-            <Textarea
-              ref={TextareaDom}
-              py={0}
-              pr={['45px', '55px']}
-              border={'none'}
-              _focusVisible={{
-                border: 'none'
-              }}
-              placeholder="提问"
-              resize={'none'}
-              rows={1}
-              height={'22px'}
-              lineHeight={'22px'}
-              maxHeight={'150px'}
-              maxLength={-1}
-              overflowY={'auto'}
-              whiteSpace={'pre-wrap'}
-              wordBreak={'break-all'}
-              boxShadow={'none !important'}
-              color={'myGray.900'}
-              onChange={(e) => {
-                const textarea = e.target;
-                textarea.style.height = textareaMinH;
-                textarea.style.height = `${textarea.scrollHeight}px`;
-              }}
-              onKeyDown={(e) => {
-                // 触发快捷发送
-                if (isPc && e.keyCode === 13 && !e.shiftKey) {
-                  handleSubmit((data) => sendPrompt(data, TextareaDom.current?.value))();
-                  e.preventDefault();
-                }
-                // 全选内容
-                // @ts-ignore
-                e.key === 'a' && e.ctrlKey && e.target?.select();
-              }}
-            />
-            {/* 发送和等待按键 */}
-            <Flex
-              alignItems={'center'}
-              justifyContent={'center'}
-              h={'25px'}
-              w={'25px'}
-              position={'absolute'}
-              right={['12px', '20px']}
-              bottom={'15px'}
-            >
-              {isChatting ? (
-                <MyIcon
-                  className={styles.stopIcon}
-                  width={['22px', '25px']}
-                  height={['22px', '25px']}
-                  cursor={'pointer'}
-                  name={'stop'}
-                  color={'gray.500'}
-                  onClick={() => controller.current?.abort('stop')}
-                />
-              ) : (
-                <MyIcon
-                  name={'chatSend'}
-                  width={['18px', '20px']}
-                  height={['18px', '20px']}
-                  cursor={'pointer'}
-                  color={'gray.500'}
-                  onClick={() => {
-                    handleSubmit((data) => sendPrompt(data, TextareaDom.current?.value))();
-                  }}
-                />
-              )}
-            </Flex>
-          </Box>
-        </Box>
-      ) : null}
-    </Flex>
-  );
-};
-
-export default React.memo(forwardRef(ChatBox));
-
-export const useChatBox = () => {
-  const onExportChat = useCallback(
-    ({ type, history }: { type: ExportChatType; history: ChatItemType[] }) => {
-      const getHistoryHtml = () => {
-        const historyDom = document.getElementById('history');
-        if (!historyDom) return;
-        const dom = Array.from(historyDom.children).map((child, i) => {
-          const avatar = `<img src="${
-            child.querySelector<HTMLImageElement>('.avatar')?.src
-          }" alt="" />`;
-
-          const chatContent = child.querySelector<HTMLDivElement>('.markdown');
-
-          if (!chatContent) {
-            return '';
-          }
-
-          const chatContentClone = chatContent.cloneNode(true) as HTMLDivElement;
-
-          const codeHeader = chatContentClone.querySelectorAll('.code-header');
-          codeHeader.forEach((childElement: any) => {
-            childElement.remove();
-          });
-
-          return `<div class="chat-item">
-          ${avatar}
-          ${chatContentClone.outerHTML}
-        </div>`;
-        });
-
-        const html = htmlTemplate.replace('{{CHAT_CONTENT}}', dom.join('\n'));
-        return html;
-      };
-
-      const map: Record<ExportChatType, () => void> = {
-        md: () => {
-          fileDownload({
-            text: history.map((item) => item.value).join('\n\n'),
-            type: 'text/markdown',
-            filename: 'chat.md'
-          });
-        },
-        html: () => {
-          const html = getHistoryHtml();
-          html &&
-            fileDownload({
-              text: html,
-              type: 'text/html',
-              filename: '聊天记录.html'
-            });
-        },
-        pdf: () => {
-          const html = getHistoryHtml();
-
-          html &&
-            // @ts-ignore
-            html2pdf(html, {
-              margin: 0,
-              filename: `聊天记录.pdf`
-            });
-        }
-      };
-
-      map[type]();
-    },
-    []
-  );
-
-  return {
-    onExportChat
-  };
-};
--- a/client/src/components/ChatBox/utils.ts
+++ b/client/src/components/ChatBox/utils.ts
@@ -1,29 +0,0 @@
-import { SystemInputEnum } from '@/constants/app';
-import { FlowModuleTypeEnum } from '@/constants/flow';
-import { getChatModel } from '@/service/utils/data';
-import { AppModuleItemType, VariableItemType } from '@/types/app';
-
-export const getSpecialModule = (modules: AppModuleItemType[]) => {
-  const welcomeText: string =
-    modules
-      .find((item) => item.flowType === FlowModuleTypeEnum.userGuide)
-      ?.inputs?.find((item) => item.key === SystemInputEnum.welcomeText)?.value || '';
-
-  const variableModules: VariableItemType[] =
-    modules
-      .find((item) => item.flowType === FlowModuleTypeEnum.variable)
-      ?.inputs.find((item) => item.key === SystemInputEnum.variables)?.value || [];
-
-  return {
-    welcomeText,
-    variableModules
-  };
-};
-export const getChatModelNameList = (modules: AppModuleItemType[]): string[] => {
-  const chatModules = modules.filter((item) => item.flowType === FlowModuleTypeEnum.chatNode);
-  return chatModules
-    .map(
-      (item) => getChatModel(item.inputs.find((input) => input.key === 'model')?.value)?.name || ''
-    )
-    .filter((item) => item);
-};
--- a/client/src/components/Icon/index.tsx
+++ b/client/src/components/Icon/index.tsx
@@ -1,102 +0,0 @@
-import React from 'react';
-import type { IconProps } from '@chakra-ui/react';
-import { Icon } from '@chakra-ui/react';
-
-const map = {
-  appFill: require('./icons/fill/app.svg').default,
-  appLight: require('./icons/light/app.svg').default,
-  copy: require('./icons/copy.svg').default,
-  chatSend: require('./icons/chatSend.svg').default,
-  delete: require('./icons/delete.svg').default,
-  stop: require('./icons/stop.svg').default,
-  collectionLight: require('./icons/collectionLight.svg').default,
-  collectionSolid: require('./icons/collectionSolid.svg').default,
-  empty: require('./icons/empty.svg').default,
-  back: require('./icons/back.svg').default,
-  backFill: require('./icons/fill/back.svg').default,
-  more: require('./icons/more.svg').default,
-  tabbarChat: require('./icons/phoneTabbar/chat.svg').default,
-  tabbarModel: require('./icons/phoneTabbar/app.svg').default,
-  tabbarMore: require('./icons/phoneTabbar/more.svg').default,
-  tabbarMe: require('./icons/phoneTabbar/me.svg').default,
-  closeSolid: require('./icons/closeSolid.svg').default,
-  wx: require('./icons/wx.svg').default,
-  out: require('./icons/out.svg').default,
-  git: require('./icons/git.svg').default,
-  gitFill: require('./icons/fill/git.svg').default,
-  menu: require('./icons/menu.svg').default,
-  edit: require('./icons/edit.svg').default,
-  inform: require('./icons/inform.svg').default,
-  export: require('./icons/export.svg').default,
-  text: require('./icons/text.svg').default,
-  history: require('./icons/history.svg').default,
-  kbTest: require('./icons/kbTest.svg').default,
-  date: require('./icons/date.svg').default,
-  apikey: require('./icons/apikey.svg').default,
-  save: require('./icons/save.svg').default,
-  minus: require('./icons/minus.svg').default,
-  chat: require('./icons/light/chat.svg').default,
-  chatFill: require('./icons/fill/chat.svg').default,
-  clear: require('./icons/light/clear.svg').default,
-  apiLight: require('./icons/light/appApi.svg').default,
-  overviewLight: require('./icons/light/overview.svg').default,
-  settingLight: require('./icons/light/setting.svg').default,
-  shareLight: require('./icons/light/share.svg').default,
-  dbLight: require('./icons/light/db.svg').default,
-  dbFill: require('./icons/fill/db.svg').default,
-  appStoreLight: require('./icons/light/appStore.svg').default,
-  appStoreFill: require('./icons/fill/appStore.svg').default,
-  meLight: require('./icons/light/me.svg').default,
-  meFill: require('./icons/fill/me.svg').default,
-  welcomeText: require('./icons/modules/welcomeText.svg').default,
-  variable: require('./icons/modules/variable.svg').default,
-  setTop: require('./icons/light/setTop.svg').default,
-  fullScreenLight: require('./icons/light/fullScreen.svg').default,
-  voice: require('./icons/voice.svg').default,
-  html: require('./icons/file/html.svg').default,
-  pdf: require('./icons/file/pdf.svg').default,
-  markdown: require('./icons/file/markdown.svg').default,
-  importLight: require('./icons/light/import.svg').default,
-  manualImport: require('./icons/file/manualImport.svg').default,
-  indexImport: require('./icons/file/indexImport.svg').default,
-  csvImport: require('./icons/file/csv.svg').default,
-  qaImport: require('./icons/file/qaImport.svg').default,
-  uploadFile: require('./icons/file/uploadFile.svg').default,
-  closeLight: require('./icons/light/close.svg').default,
-  customTitle: require('./icons/light/customTitle.svg').default,
-  billRecordLight: require('./icons/light/billRecord.svg').default,
-  informLight: require('./icons/light/inform.svg').default,
-  payRecordLight: require('./icons/light/payRecord.svg').default,
-  loginoutLight: require('./icons/light/loginout.svg').default,
-  chatModelTag: require('./icons/light/chatModelTag.svg').default,
-  language_en: require('./icons/language/en.svg').default,
-  language_zh: require('./icons/language/zh.svg').default,
-  outlink_share: require('./icons/outlink/share.svg').default,
-  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
-};
-
-export type IconName = keyof typeof map;
-
-const MyIcon = (
-  { name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps,
-  ref: any
-) => {
-  return map[name] ? (
-    <Icon
-      as={map[name]}
-      w={w}
-      h={h}
-      boxSizing={'content-box'}
-      verticalAlign={'top'}
-      fill={'currentcolor'}
-      {...props}
-    />
-  ) : null;
-};
-
-export default React.forwardRef(MyIcon);
--- a/client/src/components/Loading/index.tsx
+++ b/client/src/components/Loading/index.tsx
@@ -1,22 +0,0 @@
-import React from 'react';
-import { Spinner, Flex } from '@chakra-ui/react';
-
-const Loading = ({ fixed = true }: { fixed?: boolean }) => {
-  return (
-    <Flex
-      position={fixed ? 'fixed' : 'absolute'}
-      zIndex={1000}
-      backgroundColor={'rgba(255,255,255,0.5)'}
-      top={0}
-      left={0}
-      right={0}
-      bottom={0}
-      alignItems={'center'}
-      justifyContent={'center'}
-    >
-      <Spinner thickness="4px" speed="0.65s" emptyColor="myGray.100" color="myBlue.600" size="xl" />
-    </Flex>
-  );
-};
-
-export default Loading;
--- a/client/src/components/Markdown/chat/Guide.tsx
+++ b/client/src/components/Markdown/chat/Guide.tsx
@@ -1,49 +0,0 @@
-import React, { useMemo } from 'react';
-import { Box } from '@chakra-ui/react';
-import ReactMarkdown from 'react-markdown';
-import RemarkGfm from 'remark-gfm';
-import RemarkMath from 'remark-math';
-import RehypeKatex from 'rehype-katex';
-
-import 'katex/dist/katex.min.css';
-import styles from '../index.module.scss';
-import { EventNameEnum } from '../constant';
-
-const Guide = ({ text, onClick }: { text: string; onClick?: (e: any) => void }) => {
-  const formatText = useMemo(() => text.replace(/\[(.*?)\]/g, '[$1]()'), [text]);
-
-  return (
-    <ReactMarkdown
-      className={`markdown ${styles.markdown}`}
-      remarkPlugins={[RemarkGfm, RemarkMath]}
-      rehypePlugins={[RehypeKatex]}
-      components={{
-        a({ children }: any) {
-          return (
-            <Box as={'li'} py={1} m={0}>
-              <Box
-                as={'span'}
-                color={'blue.600'}
-                textDecoration={'underline'}
-                cursor={'pointer'}
-                onClick={() => {
-                  if (!onClick) return;
-                  onClick({
-                    event: EventNameEnum.guideClick,
-                    data: String(children)
-                  });
-                }}
-              >
-                {String(children)}
-              </Box>
-            </Box>
-          );
-        }
-      }}
-    >
-      {formatText}
-    </ReactMarkdown>
-  );
-};
-
-export default React.memo(Guide);
--- a/client/src/components/Markdown/constant.ts
+++ b/client/src/components/Markdown/constant.ts
@@ -1,3 +0,0 @@
-export enum EventNameEnum {
-  guideClick = 'guideClick'
-}
--- a/client/src/constants/kb.ts
+++ b/client/src/constants/kb.ts
@@ -1,12 +0,0 @@
-import type { KbItemType } from '@/types/plugin';
-
-export const defaultKbDetail: KbItemType = {
-  _id: '',
-  userId: '',
-  updateTime: new Date(),
-  avatar: '/icon/logo.svg',
-  name: '',
-  tags: '',
-  totalData: 0,
-  model: 'text-embedding-ada-002'
-};
--- a/client/src/constants/model.ts
+++ b/client/src/constants/model.ts
@@ -1,29 +0,0 @@
-import type { ShareChatEditType } from '@/types/app';
-import type { AppSchema } from '@/types/mongoSchema';
-
-export enum OpenAiChatEnum {
-  'GPT35' = 'gpt-3.5-turbo',
-  'GPT3516k' = 'gpt-3.5-turbo-16k',
-  'FastAI-Plus' = 'gpt-4',
-  'FastAI-Plus32k' = 'gpt-4-32k'
-}
-
-export const defaultApp: AppSchema = {
-  _id: '',
-  userId: 'userId',
-  name: '模型加载中',
-  type: 'basic',
-  avatar: '/icon/logo.svg',
-  intro: '',
-  updateTime: Date.now(),
-  share: {
-    isShare: false,
-    isShareDetail: false,
-    collection: 0
-  },
-  modules: []
-};
-
-export const defaultShareChat: ShareChatEditType = {
-  name: ''
-};
--- a/client/src/pages/_error.tsx
+++ b/client/src/pages/_error.tsx
@@ -1,19 +0,0 @@
-import { useEffect } from 'react';
-import { useRouter } from 'next/router';
-function Error() {
-  const router = useRouter();
-  useEffect(() => {
-    setTimeout(() => {
-      router.replace('/app/list');
-    }, 2000);
-  }, []);
-
-  return (
-    <p>
-      部分系统不兼容，导致页面崩溃。如果可以，请联系作者，反馈下具体操作和页面。大部分是 苹果 的
-      safari 浏览器导致，可以尝试更换 chrome 浏览器。
-    </p>
-  );
-}
-
-export default Error;
--- a/client/src/pages/api/admin/initChat.ts
+++ b/client/src/pages/api/admin/initChat.ts
@@ -1,58 +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 } from '@/service/mongo';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    const { limit = 1000 } = req.body as { limit: number };
-    let skip = 0;
-    const total = await Chat.countDocuments({
-      chatId: { $exists: false }
-    });
-    let promise = Promise.resolve();
-    console.log(total);
-
-    for (let i = 0; i < total; i += limit) {
-      const skipVal = skip;
-      skip += limit;
-      promise = promise
-        .then(() => init(limit, skipVal))
-        .then(() => {
-          console.log(skipVal);
-        });
-    }
-
-    await promise;
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
-
-async function init(limit: number, skip: number) {
-  // 遍历 app
-  const chats = await Chat.find(
-    {
-      chatId: { $exists: false }
-    },
-    '_id'
-  ).limit(limit);
-
-  await Promise.all(
-    chats.map((chat) =>
-      Chat.findByIdAndUpdate(chat._id, {
-        chatId: String(chat._id),
-        source: 'online'
-      })
-    )
-  );
-}
--- 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/initOutlink.ts
+++ b/client/src/pages/api/admin/initOutlink.ts
@@ -1,27 +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, OutLink } from '@/service/mongo';
-import { OutLinkTypeEnum } from '@/constants/chat';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    await OutLink.updateMany(
-      {},
-      {
-        $set: { type: OutLinkTypeEnum.share }
-      }
-    );
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
--- a/client/src/pages/api/admin/initv4.ts
+++ b/client/src/pages/api/admin/initv4.ts
@@ -1,446 +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, App } from '@/service/mongo';
-import { FlowModuleTypeEnum, SpecialInputKeyEnum } from '@/constants/flow';
-import { TaskResponseKeyEnum } from '@/constants/chat';
-import { FlowInputItemType } from '@/types/flow';
-
-const chatModelInput = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt,
-  kbList
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-  kbList: { kbId: string }[];
-}): FlowInputItemType[] => [
-  {
-    key: 'model',
-    value: model,
-    type: 'custom',
-    label: '对话模型',
-    connected: true
-  },
-  {
-    key: 'temperature',
-    value: temperature,
-    label: '温度',
-    type: 'slider',
-    connected: true
-  },
-  {
-    key: 'maxToken',
-    value: maxToken,
-    type: 'custom',
-    label: '回复上限',
-    connected: true
-  },
-  {
-    key: 'systemPrompt',
-    value: systemPrompt,
-    type: 'textarea',
-    label: '系统提示词',
-    connected: true
-  },
-  {
-    key: 'limitPrompt',
-    label: '限定词',
-    type: 'textarea',
-    value: limitPrompt,
-    connected: true
-  },
-  {
-    key: 'switch',
-    type: 'target',
-    label: '触发器',
-    connected: kbList.length > 0
-  },
-  {
-    key: 'quoteQA',
-    type: 'target',
-    label: '引用内容',
-    connected: kbList.length > 0
-  },
-  {
-    key: 'history',
-    type: 'target',
-    label: '聊天记录',
-    connected: true
-  },
-  {
-    key: 'userChatInput',
-    type: 'target',
-    label: '用户问题',
-    connected: true
-  }
-];
-const chatTemplate = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-}) => {
-  return [
-    {
-      flowType: FlowModuleTypeEnum.questionInput,
-      inputs: [
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'userChatInput',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'userChatInput'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 464.32198615344566,
-        y: 1602.2698463081606
-      },
-      moduleId: 'userChatInput'
-    },
-    {
-      flowType: FlowModuleTypeEnum.historyNode,
-      inputs: [
-        {
-          key: 'maxContext',
-          value: 10,
-          connected: true
-        },
-        {
-          key: 'history',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'history',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'history'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 452.5466249541586,
-        y: 1276.3930310334215
-      },
-      moduleId: 'history'
-    },
-    {
-      flowType: FlowModuleTypeEnum.chatNode,
-      inputs: chatModelInput({
-        model,
-        temperature,
-        maxToken,
-        systemPrompt,
-        limitPrompt,
-        kbList: []
-      }),
-      outputs: [
-        {
-          key: TaskResponseKeyEnum.answerText,
-          targets: []
-        }
-      ],
-      position: {
-        x: 981.9682828103937,
-        y: 890.014595014464
-      },
-      moduleId: 'chatModule'
-    }
-  ];
-};
-const kbTemplate = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt,
-  kbList = [],
-  searchSimilarity,
-  searchLimit,
-  searchEmptyText
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-  kbList: { kbId: string }[];
-  searchSimilarity: number;
-  searchLimit: number;
-  searchEmptyText: string;
-}) => {
-  return [
-    {
-      flowType: FlowModuleTypeEnum.questionInput,
-      inputs: [
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'userChatInput',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'userChatInput'
-            },
-            {
-              moduleId: 'kbSearch',
-              key: 'userChatInput'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 464.32198615344566,
-        y: 1602.2698463081606
-      },
-      moduleId: 'userChatInput'
-    },
-    {
-      flowType: FlowModuleTypeEnum.historyNode,
-      inputs: [
-        {
-          key: 'maxContext',
-          value: 10,
-          connected: true
-        },
-        {
-          key: 'history',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'history',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'history'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 452.5466249541586,
-        y: 1276.3930310334215
-      },
-      moduleId: 'history'
-    },
-    {
-      flowType: FlowModuleTypeEnum.kbSearchNode,
-      inputs: [
-        {
-          key: 'kbList',
-          value: kbList,
-          connected: true
-        },
-        {
-          key: 'similarity',
-          value: searchSimilarity,
-          connected: true
-        },
-        {
-          key: 'limit',
-          value: searchLimit,
-          connected: true
-        },
-        {
-          key: 'switch',
-          connected: false
-        },
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'isEmpty',
-          targets: searchEmptyText
-            ? [
-                {
-                  moduleId: 'emptyText',
-                  key: 'switch'
-                }
-              ]
-            : [
-                {
-                  moduleId: 'chatModule',
-                  key: 'switch'
-                }
-              ]
-        },
-        {
-          key: 'unEmpty',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'switch'
-            }
-          ]
-        },
-        {
-          key: 'quoteQA',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'quoteQA'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 956.0838440206068,
-        y: 887.462827870246
-      },
-      moduleId: 'kbSearch'
-    },
-    ...(searchEmptyText
-      ? [
-          {
-            flowType: FlowModuleTypeEnum.answerNode,
-            inputs: [
-              {
-                key: 'switch',
-                connected: true
-              },
-              {
-                key: SpecialInputKeyEnum.answerText,
-                value: searchEmptyText,
-                connected: true
-              }
-            ],
-            outputs: [],
-            position: {
-              x: 1553.5815811529146,
-              y: 637.8753731306779
-            },
-            moduleId: 'emptyText'
-          }
-        ]
-      : []),
-    {
-      flowType: FlowModuleTypeEnum.chatNode,
-      inputs: chatModelInput({ model, temperature, maxToken, systemPrompt, limitPrompt, kbList }),
-      outputs: [
-        {
-          key: TaskResponseKeyEnum.answerText,
-          targets: []
-        }
-      ],
-      position: {
-        x: 1551.71405495818,
-        y: 977.4911578918461
-      },
-      moduleId: 'chatModule'
-    }
-  ];
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    const { limit = 1000 } = req.body as { limit: number };
-    let skip = 0;
-    const total = await App.countDocuments();
-    let promise = Promise.resolve();
-    console.log(total);
-
-    for (let i = 0; i < total; i += limit) {
-      const skipVal = skip;
-      skip += limit;
-      promise = promise
-        .then(() => init(limit, skipVal))
-        .then(() => {
-          console.log(skipVal);
-        });
-    }
-
-    await promise;
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
-
-async function init(limit: number, skip: number) {
-  // 遍历 app
-  const apps = await App.find(
-    {
-      chat: { $ne: null },
-      modules: { $exists: false }
-      // userId: '63f9a14228d2a688d8dc9e1b'
-    },
-    '_id chat'
-  ).limit(limit);
-
-  return Promise.all(
-    apps.map(async (app) => {
-      if (!app.chat) return app;
-      const modules = (() => {
-        if (app.chat.relatedKbs.length === 0) {
-          return chatTemplate({
-            model: app.chat.chatModel,
-            temperature: app.chat.temperature,
-            maxToken: app.chat.maxToken,
-            systemPrompt: app.chat.systemPrompt,
-            limitPrompt: app.chat.limitPrompt
-          });
-        } else {
-          return kbTemplate({
-            model: app.chat.chatModel,
-            temperature: app.chat.temperature,
-            maxToken: app.chat.maxToken,
-            systemPrompt: app.chat.systemPrompt,
-            limitPrompt: app.chat.limitPrompt,
-            kbList: app.chat.relatedKbs.map((id) => ({ kbId: id })),
-            searchEmptyText: app.chat.searchEmptyText,
-            searchLimit: app.chat.searchLimit,
-            searchSimilarity: app.chat.searchSimilarity
-          });
-        }
-      })();
-
-      await App.findByIdAndUpdate(app.id, {
-        modules
-      });
-      return modules;
-    })
-  );
-}
--- a/client/src/pages/api/chat/getChatLogs.ts
+++ b/client/src/pages/api/chat/getChatLogs.ts
@@ -1,72 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { Chat, ChatItem, 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 },
-        { $sort: { updateTime: -1 } },
-        { $skip: (pageNum - 1) * pageSize },
-        { $limit: pageSize },
-        {
-          $lookup: {
-            from: 'chatitems',
-            localField: 'chatId',
-            foreignField: 'chatId',
-            as: 'messageCount'
-          }
-        },
-        {
-          $project: {
-            id: '$chatId',
-            title: 1,
-            source: 1,
-            time: '$updateTime',
-            messageCount: { $size: '$messageCount' },
-            callbackCount: { $literal: 0 }
-          }
-        }
-      ]),
-      Chat.countDocuments(where)
-    ]);
-
-    jsonRes<PagingData<AppLogsListItemType>>(res, {
-      data: {
-        pageNum,
-        pageSize,
-        data,
-        total
-      }
-    });
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
--- a/client/src/pages/api/openapi/getKeys.ts
+++ b/client/src/pages/api/openapi/getKeys.ts
@@ -1,37 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, OpenApi } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { UserOpenApiKey } from '@/types/openapi';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const findResponse = await OpenApi.find({ userId }).sort({ _id: -1 });
-
-    // jus save four data
-    const apiKeys = findResponse.map<UserOpenApiKey>(
-      ({ _id, apiKey, createTime, lastUsedTime }) => {
-        return {
-          id: _id,
-          apiKey: `******${apiKey.substring(apiKey.length - 4)}`,
-          createTime,
-          lastUsedTime
-        };
-      }
-    );
-
-    jsonRes(res, {
-      data: apiKeys
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/openapi/kb/pushData.ts
+++ b/client/src/pages/api/openapi/kb/pushData.ts
@@ -1,182 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-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 { startQueue } from '@/service/utils/tools';
-import { PgClient } from '@/service/pg';
-import { modelToolMap } from '@/utils/plugin';
-
-export type DateItemType = { a: string; q: string; source?: string };
-
-export type Props = {
-  kbId: string;
-  data: DateItemType[];
-  model: string;
-  mode: `${TrainingModeEnum}`;
-  prompt?: string;
-};
-
-export type Response = {
-  insertLen: number;
-};
-
-const modeMaxToken = {
-  [TrainingModeEnum.index]: 6000,
-  [TrainingModeEnum.qa]: 12000
-};
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { kbId, data, mode, prompt, model } = req.body as Props;
-
-    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
-    const { userId } = await authUser({ req });
-
-    jsonRes<Response>(res, {
-      data: await pushDataToKb({
-        kbId,
-        data,
-        userId,
-        mode,
-        prompt,
-        model
-      })
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});
-
-export async function pushDataToKb({
-  userId,
-  kbId,
-  data,
-  mode,
-  prompt,
-  model
-}: { userId: string } & Props): Promise<Response> {
-  await authKb({
-    userId,
-    kbId
-  });
-
-  // 过滤重复的 qa 内容
-  const set = new Set();
-  const filterData: DateItemType[] = [];
-
-  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 (!set.has(text)) {
-      filterData.push(item);
-      set.add(text);
-    }
-  });
-
-  // 数据库去重
-  const insertData = (
-    await Promise.allSettled(
-      filterData.map(async ({ q, a = '', source }) => {
-        if (mode !== TrainingModeEnum.index) {
-          return Promise.resolve({
-            q,
-            a,
-            source
-          });
-        }
-
-        if (!q) {
-          return Promise.reject('q为空');
-        }
-
-        q = q.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-        a = a.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-
-        // Exactly the same data, not push
-        try {
-          const { rows } = 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 = rows[0]?.exists || false;
-
-          if (exists) {
-            return Promise.reject('已经存在');
-          }
-        } catch (error) {
-          console.log(error);
-          error;
-        }
-        return Promise.resolve({
-          q,
-          a,
-          source
-        });
-      })
-    )
-  )
-    .filter((item) => item.status === 'fulfilled')
-    .map<DateItemType>((item: any) => item.value);
-
-  // 插入记录
-  await TrainingData.insertMany(
-    insertData.map((item) => ({
-      q: item.q,
-      a: item.a,
-      model,
-      source: item.source,
-      userId,
-      kbId,
-      mode,
-      prompt
-    }))
-  );
-
-  insertData.length > 0 && startQueue();
-
-  return {
-    insertLen: insertData.length
-  };
-}
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '20mb'
-    }
-  }
-};
--- a/client/src/pages/api/openapi/kb/searchTest.ts
+++ b/client/src/pages/api/openapi/kb/searchTest.ts
@@ -1,57 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-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';
-
-export type Props = {
-  model: string;
-  kbId: string;
-  text: string;
-};
-export type Response = KbTestItemType['results'];
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { kbId, text, model } = req.body as Props;
-
-    if (!kbId || !text || !model) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req });
-
-    if (!userId) {
-      throw new Error('缺少用户ID');
-    }
-
-    const { vectors } = await getVector({
-      model,
-      userId,
-      input: [text]
-    });
-
-    const response: any = await PgClient.query(
-      `BEGIN;
-        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='${userId}' order by vector <#> '[${
-        vectors[0]
-      }]' limit 12;
-        COMMIT;`
-    );
-
-    jsonRes<Response>(res, { data: response?.[2]?.rows || [] });
-  } catch (err) {
-    console.log(err);
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});
--- a/client/src/pages/api/openapi/postKey.ts
+++ b/client/src/pages/api/openapi/postKey.ts
@@ -1,37 +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 { connectToDatabase, OpenApi } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 24);
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const count = await OpenApi.find({ userId }).countDocuments();
-
-    if (count >= 10) {
-      throw new Error('最多 10 组 API 秘钥');
-    }
-
-    const apiKey = `fastgpt-${nanoid()}`;
-
-    await OpenApi.create({
-      userId,
-      apiKey
-    });
-
-    jsonRes(res, {
-      data: apiKey
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/openapi/text/gptMessagesSlice.ts
+++ b/client/src/pages/api/openapi/text/gptMessagesSlice.ts
@@ -1,67 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import type { ChatItemType } from '@/types/chat';
-import { countOpenAIToken } from '@/utils/plugin/openai';
-import { OpenAiChatEnum } from '@/constants/model';
-
-type ModelType = `${OpenAiChatEnum}`;
-
-type Props = {
-  messages: ChatItemType[];
-  model: ModelType;
-  maxLen: number;
-};
-type Response = ChatItemType[];
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req });
-
-    const { messages, model, maxLen } = req.body as Props;
-
-    if (!Array.isArray(messages) || !model || !maxLen) {
-      throw new Error('params is error');
-    }
-
-    return jsonRes<Response>(res, {
-      data: gpt_chatItemTokenSlice({
-        messages,
-        model,
-        maxToken: maxLen
-      })
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export function gpt_chatItemTokenSlice({
-  messages,
-  model = 'gpt-3.5-turbo',
-  maxToken
-}: {
-  messages: ChatItemType[];
-  model?: string;
-  maxToken: number;
-}) {
-  let result: ChatItemType[] = [];
-
-  for (let i = 0; i < messages.length; i++) {
-    const msgs = [...result, messages[i]];
-
-    const tokens = countOpenAIToken({ messages: msgs, model });
-
-    if (tokens < maxToken) {
-      result = msgs;
-    } else {
-      break;
-    }
-  }
-
-  return result.length === 0 && messages[0] ? [messages[0]] : result;
-}
--- a/client/src/pages/api/openapi/text/sensitiveCheck.ts
+++ b/client/src/pages/api/openapi/text/sensitiveCheck.ts
@@ -1,51 +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 axios from 'axios';
-import { axiosConfig } from '@/service/ai/openai';
-
-export type Props = {
-  input: string;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req });
-
-    const result = await sensitiveCheck(req.body);
-
-    jsonRes(res, {
-      data: result,
-      message: result
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export async function sensitiveCheck({ input }: Props) {
-  const response = await axios({
-    ...axiosConfig(),
-    method: 'POST',
-    url: `/moderations`,
-    data: {
-      input
-    }
-  });
-
-  const data = (response.data.results?.[0]?.category_scores as Record<string, number>) || {};
-
-  const values = Object.values(data);
-
-  for (const val of values) {
-    if (val > 0.2) {
-      return Promise.reject('您的内容不合规');
-    }
-  }
-
-  return '';
-}
--- a/client/src/pages/api/plugins/kb/create.ts
+++ b/client/src/pages/api/plugins/kb/create.ts
@@ -1,35 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { name, tags } = req.body as {
-      name: string;
-      tags: string[];
-    };
-
-    if (!name) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const { _id } = await KB.create({
-      name,
-      userId,
-      tags
-    });
-
-    jsonRes(res, { data: _id });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/plugins/kb/data/exportModelData.ts
+++ b/client/src/pages/api/plugins/kb/data/exportModelData.ts
@@ -1,84 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-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 {
-    let { kbId } = req.query as {
-      kbId: string;
-    };
-
-    if (!kbId) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    const thirtyMinutesAgo = new Date(Date.now() - 30 * 60 * 1000);
-
-    // auth export times
-    const authTimes = await User.findOne(
-      {
-        _id: userId,
-        $or: [
-          { 'limit.exportKbTime': { $exists: false } },
-          { 'limit.exportKbTime': { $lte: thirtyMinutesAgo } }
-        ]
-      },
-      '_id limit'
-    );
-
-    if (!authTimes) {
-      throw new Error('上次导出未到半小时，每半小时仅可导出一次。');
-    }
-
-    // 统计数据
-    const count = await PgClient.count(PgTrainingTableName, {
-      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 data: [string, string, string][] = pgData.rows.map((item) => [
-      item.q.replace(/\n/g, '\\n'),
-      item.a.replace(/\n/g, '\\n'),
-      item.source
-    ]);
-
-    // update export time
-    await User.findByIdAndUpdate(userId, {
-      'limit.exportKbTime': new Date()
-    });
-
-    jsonRes(res, {
-      data
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '100mb'
-    }
-  }
-};
--- a/client/src/pages/api/plugins/kb/delete.ts
+++ b/client/src/pages/api/plugins/kb/delete.ts
@@ -1,56 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-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 {
-    const { id } = req.query as {
-      id: string;
-    };
-
-    if (!id) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    // delete all pg data
-    await PgClient.delete(PgTrainingTableName, {
-      where: [['user_id', userId], 'AND', ['kb_id', id]]
-    });
-
-    // delete training data
-    await TrainingData.deleteMany({
-      userId,
-      kbId: id
-    });
-
-    // delete related app
-    await App.updateMany(
-      {
-        userId
-      },
-      { $pull: { 'chat.relatedKbs': new Types.ObjectId(id) } }
-    );
-
-    // delete kb data
-    await KB.findOneAndDelete({
-      _id: id,
-      userId
-    });
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/plugins/kb/list.ts
+++ b/client/src/pages/api/plugins/kb/list.ts
@@ -1,39 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { KbListItemType } from '@/types/plugin';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const kbList = await KB.find(
-      {
-        userId
-      },
-      '_id avatar name tags'
-    ).sort({ updateTime: -1 });
-
-    const data = await Promise.all(
-      kbList.map(async (item) => ({
-        _id: item._id,
-        avatar: item.avatar,
-        name: item.name,
-        tags: item.tags
-      }))
-    );
-
-    jsonRes<KbListItemType[]>(res, {
-      data
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/plugins/kb/update.ts
+++ b/client/src/pages/api/plugins/kb/update.ts
@@ -1,39 +0,0 @@
-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/plugins/kb';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { id, name, tags, avatar } = req.body as KbUpdateParams;
-
-    if (!id || !name) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    await KB.findOneAndUpdate(
-      {
-        _id: id,
-        userId
-      },
-      {
-        avatar,
-        name,
-        tags: tags.split(' ').filter((item) => item)
-      }
-    );
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
--- a/client/src/pages/api/system/getInitData.ts
+++ b/client/src/pages/api/system/getInitData.ts
@@ -1,112 +0,0 @@
-import type { FeConfigsType } from '@/types';
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { readFileSync } from 'fs';
-import {
-  type QAModelItemType,
-  type ChatModelItemType,
-  type VectorModelItemType
-} from '@/types/model';
-
-export type InitDateResponse = {
-  chatModels: ChatModelItemType[];
-  qaModels: QAModelItemType[];
-  vectorModels: VectorModelItemType[];
-  feConfigs: FeConfigsType;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  if (!global.feConfigs) {
-    await getInitConfig();
-  }
-  jsonRes<InitDateResponse>(res, {
-    data: {
-      feConfigs: global.feConfigs,
-      chatModels: global.chatModels,
-      qaModels: global.qaModels,
-      vectorModels: global.vectorModels
-    }
-  });
-}
-
-const defaultSystemEnv = {
-  vectorMaxProcess: 15,
-  qaMaxProcess: 15,
-  pgIvfflatProbe: 20
-};
-const defaultFeConfigs = {
-  show_emptyChat: true,
-  show_register: false,
-  show_appStore: false,
-  show_userDetail: false,
-  show_git: true,
-  systemTitle: 'FastGPT',
-  authorText: 'Made by FastGPT Team.'
-};
-const defaultChatModels = [
-  {
-    model: 'gpt-3.5-turbo',
-    name: 'GPT35-4k',
-    contextMaxToken: 4000,
-    quoteMaxToken: 2400,
-    maxTemperature: 1.2,
-    price: 0
-  },
-  {
-    model: 'gpt-3.5-turbo-16k',
-    name: 'GPT35-16k',
-    contextMaxToken: 16000,
-    quoteMaxToken: 8000,
-    maxTemperature: 1.2,
-    price: 0
-  },
-  {
-    model: 'gpt-4',
-    name: 'GPT4-8k',
-    contextMaxToken: 8000,
-    quoteMaxToken: 4000,
-    maxTemperature: 1.2,
-    price: 0
-  }
-];
-const defaultQAModels = [
-  {
-    model: 'gpt-3.5-turbo-16k',
-    name: 'GPT35-16k',
-    maxToken: 16000,
-    price: 0
-  }
-];
-const defaultVectorModels = [
-  {
-    model: 'text-embedding-ada-002',
-    name: 'Embedding-2',
-    price: 0
-  }
-];
-
-export async function getInitConfig() {
-  try {
-    const filename =
-      process.env.NODE_ENV === 'development' ? 'data/config.local.json' : '/app/data/config.json';
-    const res = JSON.parse(readFileSync(filename, 'utf-8'));
-    console.log(res);
-
-    global.systemEnv = res.SystemParams || defaultSystemEnv;
-    global.feConfigs = res.FeConfig || defaultFeConfigs;
-    global.chatModels = res.ChatModels || defaultChatModels;
-    global.qaModels = res.QAModels || defaultQAModels;
-    global.vectorModels = res.VectorModels || defaultVectorModels;
-  } catch (error) {
-    setDefaultData();
-    console.log('get init config error, set default', error);
-  }
-}
-
-export function setDefaultData() {
-  global.systemEnv = defaultSystemEnv;
-  global.feConfigs = defaultFeConfigs;
-  global.chatModels = defaultChatModels;
-  global.qaModels = defaultQAModels;
-  global.vectorModels = defaultVectorModels;
-}
--- a/client/src/pages/api/user/account/gitLogin.ts
+++ b/client/src/pages/api/user/account/gitLogin.ts
@@ -1,121 +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 { User } from '@/service/models/user';
-import { generateToken, setCookie } from '@/service/utils/tools';
-import axios from 'axios';
-import { parseQueryString } from '@/utils/tools';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 8);
-
-type GithubAccessTokenType = {
-  access_token: string;
-  expires_in: number;
-  refresh_token: string;
-  refresh_token_expires_in: number;
-  token_type: 'bearer';
-  scope: string;
-};
-type GithubUserType = {
-  login: string;
-  email: string;
-  avatar_url: string;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { code, inviterId } = req.query as { code: string; inviterId?: 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}`
-    );
-    const jsonGitAccessToken = parseQueryString(gitAccessToken) as GithubAccessTokenType;
-
-    const access_token = jsonGitAccessToken?.access_token;
-    if (!access_token) {
-      throw new Error('access_token is null');
-    }
-
-    const { data } = await axios.get<GithubUserType>('https://api.github.com/user', {
-      headers: {
-        Authorization: `Bearer ${access_token}`
-      }
-    });
-    const { login, avatar_url } = data;
-    const username = `git-${login}`;
-
-    try {
-      jsonRes(res, {
-        data: await loginByUsername({ username, res })
-      });
-    } catch (err: any) {
-      if (err?.code === 500) {
-        jsonRes(res, {
-          data: await registerUser({ username, avatar: avatar_url, res, inviterId })
-        });
-        return;
-      }
-      throw new Error(err);
-    }
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export async function loginByUsername({
-  username,
-  res
-}: {
-  username: string;
-  res: NextApiResponse;
-}) {
-  const user = await User.findOne({ username });
-
-  if (!user) {
-    return Promise.reject({
-      code: 500
-    });
-  }
-
-  const token = generateToken(user._id);
-  setCookie(res, token);
-  return { user, token };
-}
-
-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
-  });
-  console.log(response, '-=-=-=');
-
-  // 根据 id 获取用户信息
-  const user = await User.findById(response._id);
-
-  if (!user) {
-    return Promise.reject('获取用户信息异常');
-  }
-
-  const token = generateToken(user._id);
-  setCookie(res, token);
-
-  return {
-    user,
-    token
-  };
-}
--- a/client/src/pages/app/detail/components/API.tsx
+++ b/client/src/pages/app/detail/components/API.tsx
@@ -1,92 +0,0 @@
-import React, { useEffect, useState } from 'react';
-import { Box, Divider, Flex, useTheme, Button, Skeleton, useDisclosure } from '@chakra-ui/react';
-import { useCopyData } from '@/utils/tools';
-import dynamic from 'next/dynamic';
-import MyIcon from '@/components/Icon';
-import { useGlobalStore } from '@/store/global';
-
-const APIKeyModal = dynamic(() => import('@/components/APIKeyModal'), {
-  ssr: false
-});
-
-const API = ({ appId }: { appId: string }) => {
-  const theme = useTheme();
-  const { copyData } = useCopyData();
-  const [baseUrl, setBaseUrl] = useState('https://fastgpt.run/api/openapi');
-  const {
-    isOpen: isOpenAPIModal,
-    onOpen: onOpenAPIModal,
-    onClose: onCloseAPIModal
-  } = useDisclosure();
-  const [isLoaded, setIsLoaded] = useState(false);
-
-  const { isPc } = useGlobalStore();
-
-  useEffect(() => {
-    setBaseUrl(`${location.origin}/api/openapi`);
-  }, []);
-
-  return (
-    <Flex flexDirection={'column'} pt={[0, 5]} h={'100%'}>
-      <Flex px={5} alignItems={'center'}>
-        <Box flex={1}>
-          AppId:
-          <Box
-            as={'span'}
-            ml={2}
-            fontWeight={'bold'}
-            cursor={'pointer'}
-            onClick={() => copyData(appId, '已复制 AppId')}
-          >
-            {appId}
-          </Box>
-        </Box>
-        {isPc && (
-          <>
-            <Flex
-              bg={'myWhite.600'}
-              py={2}
-              px={4}
-              borderRadius={'md'}
-              cursor={'pointer'}
-              onClick={() => copyData(baseUrl, '已复制 API 地址')}
-            >
-              <Box border={theme.borders.md} px={2} borderRadius={'md'} fontSize={'sm'}>
-                API服务器
-              </Box>
-              <Box ml={2} color={'myGray.900'} fontSize={['sm', 'md']}>
-                {baseUrl}
-              </Box>
-            </Flex>
-            <Button
-              ml={3}
-              leftIcon={<MyIcon name={'apikey'} w={'16px'} color={''} />}
-              variant={'base'}
-              onClick={onOpenAPIModal}
-            >
-              API 秘钥
-            </Button>
-          </>
-        )}
-      </Flex>
-      <Divider mt={3} />
-      <Box flex={'1 0 0'} h={0}>
-        <Skeleton h="100%" isLoaded={isLoaded} fadeDuration={2}>
-          <iframe
-            style={{
-              width: '100%',
-              height: '100%'
-            }}
-            src="https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh"
-            frameBorder="0"
-            onLoad={() => setIsLoaded(true)}
-            onError={() => setIsLoaded(true)}
-          />
-        </Skeleton>
-      </Box>
-      {isOpenAPIModal && <APIKeyModal onClose={onCloseAPIModal} />}
-    </Flex>
-  );
-};
-
-export default API;
--- a/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeChat.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeChat.tsx
@@ -1,131 +0,0 @@
-import React, { useMemo } from 'react';
-import { NodeProps } from 'reactflow';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-import RenderOutput from '../render/RenderOutput';
-import { FlowOutputItemTypeEnum } from '@/constants/flow';
-import MySelect from '@/components/Select';
-import { chatModelList } from '@/store/static';
-import MySlider from '@/components/Slider';
-import { Box } from '@chakra-ui/react';
-import { formatPrice } from '@/utils/user';
-
-const NodeChat = ({ data }: NodeProps<FlowModuleItemType>) => {
-  const { moduleId, inputs, outputs, onChangeNode } = data;
-  const outputsLen = useMemo(
-    () => outputs.filter((item) => item.type !== FlowOutputItemTypeEnum.hidden).length,
-    [outputs]
-  );
-
-  return (
-    <NodeCard minW={'400px'} {...data}>
-      <Divider text="Input" />
-      <Container>
-        <RenderInput
-          moduleId={moduleId}
-          onChangeNode={onChangeNode}
-          flowInputList={inputs}
-          CustomComponent={{
-            model: (inputItem) => {
-              const list = chatModelList.map((item) => {
-                const priceStr = `(${formatPrice(item.price, 1000)}元/1k Tokens)`;
-
-                return {
-                  value: item.model,
-                  label: `${item.name}${priceStr}`
-                };
-              });
-
-              return (
-                <MySelect
-                  width={'100%'}
-                  value={inputItem.value}
-                  list={list}
-                  onchange={(e) => {
-                    onChangeNode({
-                      moduleId,
-                      type: 'inputs',
-                      key: inputItem.key,
-                      value: {
-                        ...inputItem,
-                        value: e
-                      }
-                    });
-
-                    // update max tokens
-                    const model =
-                      chatModelList.find((item) => item.model === e) || chatModelList[0];
-                    if (!model) return;
-
-                    onChangeNode({
-                      moduleId,
-                      type: 'inputs',
-                      key: 'maxToken',
-                      value: {
-                        ...inputs.find((input) => input.key === 'maxToken'),
-                        markList: [
-                          { label: '100', value: 100 },
-                          { label: `${model.contextMaxToken}`, value: model.contextMaxToken }
-                        ],
-                        max: model.contextMaxToken,
-                        value: model.contextMaxToken / 2
-                      }
-                    });
-                  }}
-                />
-              );
-            },
-            maxToken: (inputItem) => {
-              const model = inputs.find((item) => item.key === 'model')?.value;
-              const modelData = chatModelList.find((item) => item.model === model);
-              const maxToken = modelData ? modelData.contextMaxToken : 4000;
-              const markList = [
-                { label: '100', value: 100 },
-                { label: `${maxToken}`, value: maxToken }
-              ];
-              return (
-                <Box pt={5} pb={4} px={2}>
-                  <MySlider
-                    markList={markList}
-                    width={'100%'}
-                    min={inputItem.min || 100}
-                    max={maxToken}
-                    step={inputItem.step || 1}
-                    value={inputItem.value}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: inputItem.key,
-                        value: {
-                          ...inputItem,
-                          value: e
-                        }
-                      });
-                    }}
-                  />
-                </Box>
-              );
-            }
-          }}
-        />
-      </Container>
-      {outputsLen > 0 && (
-        <>
-          <Divider text="Output" />
-          <Container>
-            <RenderOutput
-              onChangeNode={onChangeNode}
-              moduleId={moduleId}
-              flowOutputList={outputs}
-            />
-          </Container>
-        </>
-      )}
-    </NodeCard>
-  );
-};
-export default React.memo(NodeChat);
--- a/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeKbSearch.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeKbSearch.tsx
@@ -1,110 +0,0 @@
-import React, { useMemo, useState } from 'react';
-import { NodeProps } from 'reactflow';
-import { FlowModuleItemType } from '@/types/flow';
-import { Flex, Box, Button, useTheme, useDisclosure, Grid } from '@chakra-ui/react';
-import { useUserStore } from '@/store/user';
-import { useQuery } from '@tanstack/react-query';
-import NodeCard from '../modules/NodeCard';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-import RenderOutput from '../render/RenderOutput';
-import { KBSelectModal } from '../../../KBSelectModal';
-import type { SelectedKbType } from '@/types/plugin';
-import Avatar from '@/components/Avatar';
-
-const KBSelect = ({
-  activeKbs = [],
-  onChange
-}: {
-  activeKbs: SelectedKbType;
-  onChange: (e: SelectedKbType) => void;
-}) => {
-  const theme = useTheme();
-  const { myKbList, loadKbList } = useUserStore();
-  const {
-    isOpen: isOpenKbSelect,
-    onOpen: onOpenKbSelect,
-    onClose: onCloseKbSelect
-  } = useDisclosure();
-
-  const showKbList = useMemo(
-    () => myKbList.filter((item) => activeKbs.find((kb) => kb.kbId === item._id)),
-    [myKbList, activeKbs]
-  );
-
-  useQuery(['initkb'], loadKbList);
-
-  return (
-    <>
-      <Grid gridTemplateColumns={'1fr 1fr'} gridGap={4}>
-        <Button h={'36px'} onClick={onOpenKbSelect}>
-          选择知识库
-        </Button>
-        {showKbList.map((item) => (
-          <Flex
-            key={item._id}
-            alignItems={'center'}
-            h={'36px'}
-            border={theme.borders.base}
-            px={2}
-            borderRadius={'md'}
-          >
-            <Avatar src={item.avatar} w={'24px'}></Avatar>
-            <Box ml={3} fontWeight={'bold'} fontSize={['md', 'lg', 'xl']}>
-              {item.name}
-            </Box>
-          </Flex>
-        ))}
-      </Grid>
-      {isOpenKbSelect && (
-        <KBSelectModal
-          kbList={myKbList}
-          activeKbs={activeKbs}
-          onChange={onChange}
-          onClose={onCloseKbSelect}
-        />
-      )}
-    </>
-  );
-};
-
-const NodeKbSearch = ({ data }: NodeProps<FlowModuleItemType>) => {
-  const { moduleId, inputs, outputs, onChangeNode } = data;
-  return (
-    <NodeCard minW={'400px'} {...data}>
-      <Divider text="Input" />
-      <Container>
-        <RenderInput
-          moduleId={moduleId}
-          onChangeNode={onChangeNode}
-          flowInputList={inputs}
-          CustomComponent={{
-            kbList: ({ key, value, ...props }) => (
-              <KBSelect
-                activeKbs={value}
-                onChange={(e) => {
-                  onChangeNode({
-                    moduleId,
-                    key,
-                    type: 'inputs',
-                    value: {
-                      ...props,
-                      key,
-                      value: e
-                    }
-                  });
-                }}
-              />
-            )
-          }}
-        />
-      </Container>
-      <Divider text="Output" />
-      <Container>
-        <RenderOutput onChangeNode={onChangeNode} moduleId={moduleId} flowOutputList={outputs} />
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(NodeKbSearch);
--- a/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeQuestionInput.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeQuestionInput.tsx
@@ -1,26 +0,0 @@
-import React from 'react';
-import { NodeProps } from 'reactflow';
-import { Box } from '@chakra-ui/react';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Container from '../modules/Container';
-import { SystemInputEnum } from '@/constants/app';
-import { FlowValueTypeEnum } from '@/constants/flow';
-import SourceHandle from '../render/SourceHandle';
-
-const QuestionInputNode = ({ data }: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'240px'} {...data}>
-      <Container borderTop={'2px solid'} borderTopColor={'myGray.200'} textAlign={'end'}>
-        <Box position={'relative'}>
-          用户问题
-          <SourceHandle
-            handleKey={SystemInputEnum.userChatInput}
-            valueType={FlowValueTypeEnum.string}
-          />
-        </Box>
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(QuestionInputNode);
--- a/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeUserGuide.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeUserGuide.tsx
@@ -1,59 +0,0 @@
-import React, { useMemo } from 'react';
-import { NodeProps } from 'reactflow';
-import { Box, Flex, Textarea } from '@chakra-ui/react';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Container from '../modules/Container';
-import { SystemInputEnum } from '@/constants/app';
-import MyIcon from '@/components/Icon';
-import MyTooltip from '@/components/MyTooltip';
-import { welcomeTextTip } from '@/constants/flow/ModuleTemplate';
-
-const NodeUserGuide = ({ data }: NodeProps<FlowModuleItemType>) => {
-  const { inputs, moduleId, onChangeNode } = data;
-  const welcomeText = useMemo(
-    () => inputs.find((item) => item.key === SystemInputEnum.welcomeText),
-    [inputs]
-  );
-
-  return (
-    <>
-      <NodeCard minW={'300px'} {...data}>
-        <Container borderTop={'2px solid'} borderTopColor={'myGray.200'}>
-          <>
-            <Flex mb={1} alignItems={'center'}>
-              <MyIcon name={'welcomeText'} mr={2} w={'16px'} color={'#E74694'} />
-              <Box>开场白</Box>
-              <MyTooltip label={welcomeTextTip} forceShow>
-                <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
-              </MyTooltip>
-            </Flex>
-            {welcomeText && (
-              <Textarea
-                className="nodrag"
-                rows={6}
-                resize={'both'}
-                defaultValue={welcomeText.value}
-                bg={'myWhite.500'}
-                placeholder={welcomeTextTip}
-                onChange={(e) => {
-                  onChangeNode({
-                    moduleId,
-                    key: SystemInputEnum.welcomeText,
-                    type: 'inputs',
-                    value: {
-                      ...welcomeText,
-                      value: e.target.value
-                    }
-                  });
-                }}
-              />
-            )}
-          </>
-        </Container>
-      </NodeCard>
-    </>
-  );
-};
-export default React.memo(NodeUserGuide);
--- a/client/src/pages/app/detail/components/AdEdit/components/render/RenderInput.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/components/render/RenderInput.tsx
@@ -1,272 +0,0 @@
-import React, { useState } from 'react';
-import type { FlowInputItemType, FlowModuleItemType } from '@/types/flow';
-import {
-  Box,
-  Textarea,
-  Input,
-  NumberInput,
-  NumberInputField,
-  NumberInputStepper,
-  NumberIncrementStepper,
-  NumberDecrementStepper,
-  Flex
-} from '@chakra-ui/react';
-import { FlowInputItemTypeEnum } from '@/constants/flow';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import dynamic from 'next/dynamic';
-import MySelect from '@/components/Select';
-import MySlider from '@/components/Slider';
-import MyTooltip from '@/components/MyTooltip';
-import TargetHandle from './TargetHandle';
-import MyIcon from '@/components/Icon';
-const SetInputFieldModal = dynamic(() => import('../modules/SetInputFieldModal'));
-
-export const Label = ({
-  moduleId,
-  inputKey,
-  onChangeNode,
-  ...item
-}: FlowInputItemType & {
-  moduleId: string;
-  inputKey: string;
-  onChangeNode: FlowModuleItemType['onChangeNode'];
-}) => {
-  const { required = false, description, edit, label, type, valueType } = item;
-  const [editField, setEditField] = useState<FlowInputItemType>();
-
-  return (
-    <Flex className="nodrag" cursor={'default'} alignItems={'center'} position={'relative'}>
-      <Box position={'relative'}>
-        {label}
-        {description && (
-          <MyTooltip label={description} forceShow>
-            <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
-          </MyTooltip>
-        )}
-        {required && (
-          <Box
-            position={'absolute'}
-            top={'-2px'}
-            right={'-8px'}
-            color={'red.500'}
-            fontWeight={'bold'}
-          >
-            *
-          </Box>
-        )}
-      </Box>
-
-      {(type === FlowInputItemTypeEnum.target || valueType) && (
-        <TargetHandle handleKey={inputKey} valueType={valueType} />
-      )}
-
-      {edit && (
-        <>
-          <MyIcon
-            name={'settingLight'}
-            w={'14px'}
-            cursor={'pointer'}
-            ml={3}
-            _hover={{ color: 'myBlue.600' }}
-            onClick={() =>
-              setEditField({
-                ...item,
-                key: inputKey
-              })
-            }
-          />
-          <MyIcon
-            className="delete"
-            name={'delete'}
-            w={'14px'}
-            cursor={'pointer'}
-            ml={2}
-            _hover={{ color: 'red.500' }}
-            onClick={() => {
-              onChangeNode({
-                moduleId,
-                type: 'delInput',
-                key: inputKey,
-                value: ''
-              });
-            }}
-          />
-        </>
-      )}
-      {!!editField && (
-        <SetInputFieldModal
-          defaultField={editField}
-          onClose={() => setEditField(undefined)}
-          onSubmit={(data) => {
-            // same key
-            if (editField.key === data.key) {
-              onChangeNode({
-                moduleId,
-                type: 'inputs',
-                key: inputKey,
-                value: data
-              });
-            } else {
-              // diff key. del and add
-              onChangeNode({
-                moduleId,
-                type: 'addInput',
-                key: data.key,
-                value: data
-              });
-              setTimeout(() => {
-                onChangeNode({
-                  moduleId,
-                  type: 'delInput',
-                  key: editField.key,
-                  value: ''
-                });
-              });
-            }
-            setEditField(undefined);
-          }}
-        />
-      )}
-    </Flex>
-  );
-};
-
-const RenderInput = ({
-  flowInputList,
-  moduleId,
-  CustomComponent = {},
-  onChangeNode
-}: {
-  flowInputList: FlowInputItemType[];
-  moduleId: string;
-  CustomComponent?: Record<string, (e: FlowInputItemType) => React.ReactNode>;
-  onChangeNode: FlowModuleItemType['onChangeNode'];
-}) => {
-  return (
-    <>
-      {flowInputList.map(
-        (item) =>
-          item.type !== FlowInputItemTypeEnum.hidden && (
-            <Box key={item.key} _notLast={{ mb: 7 }} position={'relative'}>
-              {!!item.label && (
-                <Label
-                  moduleId={moduleId}
-                  onChangeNode={onChangeNode}
-                  inputKey={item.key}
-                  {...item}
-                />
-              )}
-              <Box mt={2} className={'nodrag'}>
-                {item.type === FlowInputItemTypeEnum.numberInput && (
-                  <NumberInput
-                    defaultValue={item.value}
-                    min={item.min}
-                    max={item.max}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: Number(e)
-                        }
-                      });
-                    }}
-                  >
-                    <NumberInputField />
-                    <NumberInputStepper>
-                      <NumberIncrementStepper />
-                      <NumberDecrementStepper />
-                    </NumberInputStepper>
-                  </NumberInput>
-                )}
-                {item.type === FlowInputItemTypeEnum.input && (
-                  <Input
-                    placeholder={item.placeholder}
-                    defaultValue={item.value}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: e.target.value
-                        }
-                      });
-                    }}
-                  />
-                )}
-                {item.type === FlowInputItemTypeEnum.textarea && (
-                  <Textarea
-                    rows={5}
-                    placeholder={item.placeholder}
-                    resize={'both'}
-                    defaultValue={item.value}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: e.target.value
-                        }
-                      });
-                    }}
-                  />
-                )}
-                {item.type === FlowInputItemTypeEnum.select && (
-                  <MySelect
-                    width={'100%'}
-                    value={item.value}
-                    list={item.list || []}
-                    onchange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: e
-                        }
-                      });
-                    }}
-                  />
-                )}
-                {item.type === FlowInputItemTypeEnum.slider && (
-                  <Box pt={5} pb={4} px={2}>
-                    <MySlider
-                      markList={item.markList}
-                      width={'100%'}
-                      min={item.min || 0}
-                      max={item.max}
-                      step={item.step || 1}
-                      value={item.value}
-                      onChange={(e) => {
-                        onChangeNode({
-                          moduleId,
-                          type: 'inputs',
-                          key: item.key,
-                          value: {
-                            ...item,
-                            value: e
-                          }
-                        });
-                      }}
-                    />
-                  </Box>
-                )}
-                {item.type === FlowInputItemTypeEnum.custom && CustomComponent[item.key] && (
-                  <>{CustomComponent[item.key]({ ...item })}</>
-                )}
-              </Box>
-            </Box>
-          )
-      )}
-    </>
-  );
-};
-
-export default React.memo(RenderInput);
--- a/client/src/pages/app/detail/components/AdEdit/index.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/index.tsx
@@ -1,632 +0,0 @@
-import React, { useCallback, useEffect, useRef, useState } from 'react';
-import ReactFlow, {
-  Background,
-  Controls,
-  ReactFlowProvider,
-  addEdge,
-  useNodesState,
-  useEdgesState,
-  XYPosition,
-  Connection,
-  useViewport
-} from 'reactflow';
-import { Box, Flex, IconButton, useTheme, useDisclosure } from '@chakra-ui/react';
-import { SmallCloseIcon } from '@chakra-ui/icons';
-import {
-  edgeOptions,
-  connectionLineStyle,
-  FlowModuleTypeEnum,
-  FlowInputItemTypeEnum,
-  FlowValueTypeEnum
-} from '@/constants/flow';
-import { appModule2FlowNode, appModule2FlowEdge } from '@/utils/adapt';
-import {
-  FlowModuleItemType,
-  FlowModuleTemplateType,
-  FlowOutputTargetItemType,
-  type FlowModuleItemChangeProps
-} from '@/types/flow';
-import { AppModuleItemType } from '@/types/app';
-import { customAlphabet } from 'nanoid';
-import { useRequest } from '@/hooks/useRequest';
-import type { AppSchema } from '@/types/mongoSchema';
-import { useUserStore } from '@/store/user';
-import { useToast } from '@/hooks/useToast';
-import { useTranslation } from 'next-i18next';
-import { useCopyData } from '@/utils/tools';
-import dynamic from 'next/dynamic';
-
-import MyIcon from '@/components/Icon';
-import ButtonEdge from './components/modules/ButtonEdge';
-import MyTooltip from '@/components/MyTooltip';
-import TemplateList from './components/TemplateList';
-import ChatTest, { type ChatTestComponentRef } from './components/ChatTest';
-
-const ImportSettings = dynamic(() => import('./components/ImportSettings'), {
-  ssr: false
-});
-const NodeChat = dynamic(() => import('./components/Nodes/NodeChat'), {
-  ssr: false
-});
-const NodeKbSearch = dynamic(() => import('./components/Nodes/NodeKbSearch'), {
-  ssr: false
-});
-const NodeHistory = dynamic(() => import('./components/Nodes/NodeHistory'), {
-  ssr: false
-});
-const NodeTFSwitch = dynamic(() => import('./components/Nodes/NodeTFSwitch'), {
-  ssr: false
-});
-const NodeAnswer = dynamic(() => import('./components/Nodes/NodeAnswer'), {
-  ssr: false
-});
-const NodeQuestionInput = dynamic(() => import('./components/Nodes/NodeQuestionInput'), {
-  ssr: false
-});
-const NodeCQNode = dynamic(() => import('./components/Nodes/NodeCQNode'), {
-  ssr: false
-});
-const NodeVariable = dynamic(() => import('./components/Nodes/NodeVariable'), {
-  ssr: false
-});
-const NodeUserGuide = dynamic(() => import('./components/Nodes/NodeUserGuide'), {
-  ssr: false
-});
-const NodeExtract = dynamic(() => import('./components/Nodes/NodeExtract'), {
-  ssr: false
-});
-const NodeHttp = dynamic(() => import('./components/Nodes/NodeHttp'), {
-  ssr: false
-});
-
-import 'reactflow/dist/style.css';
-import styles from './index.module.scss';
-import { AppTypeEnum } from '@/constants/app';
-
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 6);
-
-const nodeTypes = {
-  [FlowModuleTypeEnum.userGuide]: NodeUserGuide,
-  [FlowModuleTypeEnum.variable]: NodeVariable,
-  [FlowModuleTypeEnum.questionInput]: NodeQuestionInput,
-  [FlowModuleTypeEnum.historyNode]: NodeHistory,
-  [FlowModuleTypeEnum.chatNode]: NodeChat,
-  [FlowModuleTypeEnum.kbSearchNode]: NodeKbSearch,
-  [FlowModuleTypeEnum.tfSwitchNode]: NodeTFSwitch,
-  [FlowModuleTypeEnum.answerNode]: NodeAnswer,
-  [FlowModuleTypeEnum.classifyQuestion]: NodeCQNode,
-  [FlowModuleTypeEnum.contentExtract]: NodeExtract,
-  [FlowModuleTypeEnum.httpRequest]: NodeHttp
-  // [FlowModuleTypeEnum.empty]: EmptyModule
-};
-const edgeTypes = {
-  buttonedge: ButtonEdge
-};
-type Props = { app: AppSchema; onCloseSettings: () => void };
-
-const AppEdit = ({ app, onCloseSettings }: Props) => {
-  const theme = useTheme();
-  const { toast } = useToast();
-  const { t } = useTranslation();
-  const { copyData } = useCopyData();
-
-  const reactFlowWrapper = useRef<HTMLDivElement>(null);
-  const ChatTestRef = useRef<ChatTestComponentRef>(null);
-
-  const { updateAppDetail } = useUserStore();
-  const { x, y, zoom } = useViewport();
-  const [nodes, setNodes, onNodesChange] = useNodesState<FlowModuleItemType>([]);
-  const [edges, setEdges, onEdgesChange] = useEdgesState([]);
-  const {
-    isOpen: isOpenTemplate,
-    onOpen: onOpenTemplate,
-    onClose: onCloseTemplate
-  } = useDisclosure();
-  const { isOpen: isOpenImport, onOpen: onOpenImport, onClose: onCloseImport } = useDisclosure();
-
-  const [testModules, setTestModules] = useState<AppModuleItemType[]>();
-
-  const onFixView = useCallback(() => {
-    const btn = document.querySelector('.react-flow__controls-fitview') as HTMLButtonElement;
-
-    setTimeout(() => {
-      btn && btn.click();
-    }, 100);
-  }, []);
-
-  const onAddNode = useCallback(
-    ({ template, position }: { template: FlowModuleTemplateType; position: XYPosition }) => {
-      if (!reactFlowWrapper.current) return;
-      const reactFlowBounds = reactFlowWrapper.current.getBoundingClientRect();
-      const mouseX = (position.x - reactFlowBounds.left - x) / zoom - 100;
-      const mouseY = (position.y - reactFlowBounds.top - y) / zoom;
-
-      setNodes((state) =>
-        state.concat(
-          appModule2FlowNode({
-            item: {
-              ...template,
-              moduleId: nanoid(),
-              position: { x: mouseX, y: mouseY }
-            },
-            onChangeNode,
-            onDelNode,
-            onDelEdge,
-            onCopyNode,
-            onCollectionNode
-          })
-        )
-      );
-    },
-    [x, zoom, y]
-  );
-  const onDelNode = useCallback(
-    (nodeId: string) => {
-      setNodes((state) => state.filter((item) => item.id !== nodeId));
-      setEdges((state) => state.filter((edge) => edge.source !== nodeId && edge.target !== nodeId));
-    },
-    [setEdges, setNodes]
-  );
-  const onDelEdge = useCallback(
-    ({
-      moduleId,
-      sourceHandle,
-      targetHandle
-    }: {
-      moduleId: string;
-      sourceHandle?: string;
-      targetHandle?: string;
-    }) => {
-      if (!sourceHandle && !targetHandle) return;
-      setEdges((state) =>
-        state.filter((edge) => {
-          if (edge.source === moduleId && edge.sourceHandle === sourceHandle) return false;
-          if (edge.target === moduleId && edge.targetHandle === targetHandle) return false;
-
-          return true;
-        })
-      );
-    },
-    [setEdges]
-  );
-  const onCopyNode = useCallback(
-    (nodeId: string) => {
-      setNodes((nodes) => {
-        const node = nodes.find((node) => node.id === nodeId);
-        if (!node) return nodes;
-        const template = {
-          logo: node.data.logo,
-          name: node.data.name,
-          intro: node.data.intro,
-          description: node.data.description,
-          flowType: node.data.flowType,
-          inputs: node.data.inputs,
-          outputs: node.data.outputs,
-          showStatus: node.data.showStatus
-        };
-        return nodes.concat(
-          appModule2FlowNode({
-            item: {
-              ...template,
-              moduleId: nanoid(),
-              position: { x: node.position.x + 200, y: node.position.y + 50 }
-            },
-            onChangeNode,
-            onDelNode,
-            onDelEdge,
-            onCopyNode,
-            onCollectionNode
-          })
-        );
-      });
-    },
-    [setNodes]
-  );
-  const onCollectionNode = useCallback(
-    (nodeId: string) => {
-      console.log(nodes.find((node) => node.id === nodeId));
-    },
-    [nodes]
-  );
-
-  const flow2AppModules = useCallback(() => {
-    const modules: AppModuleItemType[] = nodes.map((item) => ({
-      moduleId: item.data.moduleId,
-      name: item.data.name,
-      flowType: item.data.flowType,
-      showStatus: item.data.showStatus,
-      position: item.position,
-      inputs: item.data.inputs.map((item) => ({
-        ...item,
-        connected: item.type !== FlowInputItemTypeEnum.target
-      })),
-      outputs: item.data.outputs.map((item) => ({
-        ...item,
-        targets: [] as FlowOutputTargetItemType[]
-      }))
-    }));
-
-    // update inputs and outputs
-    modules.forEach((module) => {
-      module.inputs.forEach((input) => {
-        input.connected =
-          input.connected ||
-          !!edges.find(
-            (edge) => edge.target === module.moduleId && edge.targetHandle === input.key
-          );
-      });
-      module.outputs.forEach((output) => {
-        output.targets = edges
-          .filter(
-            (edge) =>
-              edge.source === module.moduleId &&
-              edge.sourceHandle === output.key &&
-              edge.targetHandle
-          )
-          .map((edge) => ({
-            moduleId: edge.target,
-            key: edge.targetHandle || ''
-          }));
-      });
-    });
-    return modules;
-  }, [edges, nodes]);
-  const onChangeNode = useCallback(
-    ({ moduleId, key, type = 'inputs', value }: FlowModuleItemChangeProps) => {
-      setNodes((nodes) =>
-        nodes.map((node) => {
-          if (node.id !== moduleId) return node;
-          if (type === 'inputs') {
-            return {
-              ...node,
-              data: {
-                ...node.data,
-                inputs: node.data.inputs.map((item) => (item.key === key ? value : item))
-              }
-            };
-          }
-          if (type === 'addInput') {
-            const input = node.data.inputs.find((input) => input.key === value.key);
-            if (input) {
-              toast({
-                status: 'warning',
-                title: 'key 重复'
-              });
-              return {
-                ...node,
-                data: {
-                  ...node.data,
-                  inputs: node.data.inputs
-                }
-              };
-            }
-            return {
-              ...node,
-              data: {
-                ...node.data,
-                inputs: node.data.inputs.concat(value)
-              }
-            };
-          }
-          if (type === 'delInput') {
-            onDelEdge({ moduleId, targetHandle: key });
-            return {
-              ...node,
-              data: {
-                ...node.data,
-                inputs: node.data.inputs.filter((item) => item.key !== key)
-              }
-            };
-          }
-
-          // del output connect
-          const delOutputs = node.data.outputs.filter(
-            (item) => !value.find((output: FlowOutputTargetItemType) => output.key === item.key)
-          );
-          delOutputs.forEach((output) => {
-            onDelEdge({ moduleId, sourceHandle: output.key });
-          });
-
-          return {
-            ...node,
-            data: {
-              ...node.data,
-              outputs: value
-            }
-          };
-        })
-      );
-    },
-    []
-  );
-
-  const onDelConnect = useCallback((id: string) => {
-    setEdges((state) => state.filter((item) => item.id !== id));
-  }, []);
-  const onConnect = useCallback(
-    ({ connect }: { connect: Connection }) => {
-      const source = nodes.find((node) => node.id === connect.source)?.data;
-      const sourceType = (() => {
-        if (source?.flowType === FlowModuleTypeEnum.classifyQuestion) {
-          return FlowValueTypeEnum.boolean;
-        }
-        return source?.outputs.find((output) => output.key === connect.sourceHandle)?.valueType;
-      })();
-
-      const targetType = nodes
-        .find((node) => node.id === connect.target)
-        ?.data?.inputs.find((input) => input.key === connect.targetHandle)?.valueType;
-
-      if (!sourceType || !targetType) {
-        return toast({
-          status: 'warning',
-          title: t('app.Connection is invalid')
-        });
-      }
-      if (
-        sourceType !== FlowValueTypeEnum.any &&
-        targetType !== FlowValueTypeEnum.any &&
-        sourceType !== targetType
-      ) {
-        return toast({
-          status: 'warning',
-          title: t('app.Connection type is different')
-        });
-      }
-
-      setEdges((state) =>
-        addEdge(
-          {
-            ...connect,
-            type: 'buttonedge',
-            animated: true,
-            data: {
-              onDelete: onDelConnect
-            }
-          },
-          state
-        )
-      );
-    },
-    [nodes]
-  );
-
-  const { mutate: onclickSave, isLoading } = useRequest({
-    mutationFn: () => {
-      return updateAppDetail(app._id, {
-        modules: flow2AppModules(),
-        type: AppTypeEnum.advanced
-      });
-    },
-    successToast: '保存配置成功',
-    errorToast: '保存配置异常',
-    onSuccess() {
-      ChatTestRef.current?.resetChatTest();
-    }
-  });
-
-  const initData = useCallback(
-    (modules: AppModuleItemType[]) => {
-      const edges = appModule2FlowEdge({
-        modules,
-        onDelete: onDelConnect
-      });
-      setEdges(edges);
-
-      setNodes(
-        modules.map((item) =>
-          appModule2FlowNode({
-            item,
-            onChangeNode,
-            onDelNode,
-            onDelEdge,
-            onCopyNode,
-            onCollectionNode
-          })
-        )
-      );
-
-      onFixView();
-    },
-    [
-      onDelConnect,
-      setEdges,
-      setNodes,
-      onFixView,
-      onChangeNode,
-      onDelNode,
-      onDelEdge,
-      onCopyNode,
-      onCollectionNode
-    ]
-  );
-
-  useEffect(() => {
-    initData(JSON.parse(JSON.stringify(app.modules)));
-  }, [app.modules]);
-
-  return (
-    <>
-      {/* header */}
-      <Flex
-        py={3}
-        px={[2, 5, 8]}
-        borderBottom={theme.borders.base}
-        alignItems={'center'}
-        userSelect={'none'}
-      >
-        <MyTooltip label={'返回'} offset={[10, 10]}>
-          <IconButton
-            size={'sm'}
-            icon={<MyIcon name={'back'} w={'14px'} />}
-            borderRadius={'md'}
-            borderColor={'myGray.300'}
-            variant={'base'}
-            aria-label={''}
-            onClick={() => {
-              onCloseSettings();
-              onFixView();
-            }}
-          />
-        </MyTooltip>
-        <Box ml={[3, 6]} fontSize={['md', '2xl']} flex={1}>
-          {app.name}
-        </Box>
-
-        <MyTooltip label={t('app.Import Configs')}>
-          <IconButton
-            mr={[3, 6]}
-            icon={<MyIcon name={'importLight'} w={['14px', '16px']} />}
-            borderRadius={'lg'}
-            variant={'base'}
-            aria-label={'save'}
-            onClick={onOpenImport}
-          />
-        </MyTooltip>
-        <MyTooltip label={t('app.Export Configs')}>
-          <IconButton
-            mr={[3, 6]}
-            icon={<MyIcon name={'export'} w={['14px', '16px']} />}
-            borderRadius={'lg'}
-            variant={'base'}
-            aria-label={'save'}
-            onClick={() =>
-              copyData(
-                JSON.stringify(flow2AppModules(), null, 2),
-                t('app.Export Config Successful')
-              )
-            }
-          />
-        </MyTooltip>
-
-        {testModules ? (
-          <IconButton
-            mr={[3, 6]}
-            icon={<SmallCloseIcon fontSize={'25px'} />}
-            variant={'base'}
-            color={'myGray.600'}
-            borderRadius={'lg'}
-            aria-label={''}
-            onClick={() => setTestModules(undefined)}
-          />
-        ) : (
-          <MyTooltip label={'测试对话'}>
-            <IconButton
-              mr={[3, 6]}
-              icon={<MyIcon name={'chat'} w={['14px', '16px']} />}
-              borderRadius={'lg'}
-              aria-label={'save'}
-              variant={'base'}
-              onClick={() => {
-                setTestModules(flow2AppModules());
-              }}
-            />
-          </MyTooltip>
-        )}
-
-        <MyTooltip label={'保存配置'}>
-          <IconButton
-            icon={<MyIcon name={'save'} w={['14px', '16px']} />}
-            borderRadius={'lg'}
-            isLoading={isLoading}
-            aria-label={'save'}
-            onClick={onclickSave}
-          />
-        </MyTooltip>
-      </Flex>
-      <Box
-        minH={'400px'}
-        flex={'1 0 0'}
-        w={'100%'}
-        h={0}
-        position={'relative'}
-        onContextMenu={(e) => {
-          e.preventDefault();
-          return false;
-        }}
-      >
-        {/* open module template */}
-        <IconButton
-          position={'absolute'}
-          top={5}
-          left={5}
-          w={'38px'}
-          h={'38px'}
-          borderRadius={'50%'}
-          icon={<SmallCloseIcon fontSize={'26px'} />}
-          transform={isOpenTemplate ? '' : 'rotate(135deg)'}
-          transition={'0.2s ease'}
-          aria-label={''}
-          zIndex={1}
-          boxShadow={'2px 2px 6px #85b1ff'}
-          onClick={() => {
-            isOpenTemplate ? onCloseTemplate() : onOpenTemplate();
-          }}
-        />
-
-        <ReactFlow
-          ref={reactFlowWrapper}
-          className={styles.panel}
-          fitView
-          nodes={nodes}
-          edges={edges}
-          minZoom={0.4}
-          maxZoom={1.5}
-          defaultEdgeOptions={edgeOptions}
-          connectionLineStyle={connectionLineStyle}
-          nodeTypes={nodeTypes}
-          edgeTypes={edgeTypes}
-          onNodesChange={onNodesChange}
-          onEdgesChange={onEdgesChange}
-          onConnect={(connect) => {
-            connect.sourceHandle &&
-              connect.targetHandle &&
-              onConnect({
-                connect
-              });
-          }}
-        >
-          <Background />
-          <Controls position={'bottom-right'} style={{ display: 'flex' }} showInteractive={false} />
-        </ReactFlow>
-
-        <TemplateList
-          isOpen={isOpenTemplate}
-          nodes={nodes}
-          onAddNode={onAddNode}
-          onClose={onCloseTemplate}
-        />
-        <ChatTest
-          ref={ChatTestRef}
-          modules={testModules}
-          app={app}
-          onClose={() => setTestModules(undefined)}
-        />
-      </Box>
-      {isOpenImport && (
-        <ImportSettings
-          onClose={onCloseImport}
-          onSuccess={(data) => {
-            setEdges([]);
-            setNodes([]);
-            setTimeout(() => {
-              initData(data);
-            }, 10);
-          }}
-        />
-      )}
-    </>
-  );
-};
-
-const Flow = (data: Props) => (
-  <Box h={'100%'} position={'fixed'} zIndex={999} top={0} left={0} right={0} bottom={0}>
-    <ReactFlowProvider>
-      <Flex h={'100%'} flexDirection={'column'} bg={'#fff'}>
-        {!!data.app._id && <AppEdit {...data} />}
-      </Flex>
-    </ReactFlowProvider>
-  </Box>
-);
-
-export default React.memo(Flow);
--- a/client/src/pages/app/detail/components/KBSelectModal.tsx
+++ b/client/src/pages/app/detail/components/KBSelectModal.tsx
@@ -1,214 +0,0 @@
-import React, { useState } from 'react';
-import {
-  Card,
-  Flex,
-  Box,
-  Button,
-  ModalBody,
-  ModalHeader,
-  ModalFooter,
-  useTheme,
-  Textarea
-} from '@chakra-ui/react';
-import Avatar from '@/components/Avatar';
-import { KbListItemType } from '@/types/plugin';
-import { useForm } from 'react-hook-form';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import type { SelectedKbType } from '@/types/plugin';
-import { useGlobalStore } from '@/store/global';
-import MySlider from '@/components/Slider';
-import MyTooltip from '@/components/MyTooltip';
-import MyModal from '@/components/MyModal';
-
-export type KbParamsType = {
-  searchSimilarity: number;
-  searchLimit: number;
-  searchEmptyText: string;
-};
-
-export const KBSelectModal = ({
-  kbList,
-  activeKbs = [],
-  onChange,
-  onClose
-}: {
-  kbList: KbListItemType[];
-  activeKbs: SelectedKbType;
-  onChange: (e: SelectedKbType) => void;
-  onClose: () => void;
-}) => {
-  const theme = useTheme();
-  const [selectedKbList, setSelectedKbList] = useState<SelectedKbType>(activeKbs);
-  const { isPc } = useGlobalStore();
-
-  return (
-    <MyModal
-      isOpen={true}
-      isCentered={!isPc}
-      maxW={['90vw', '800px']}
-      w={'800px'}
-      onClose={onClose}
-    >
-      <Flex flexDirection={'column'} h={['90vh', 'auto']}>
-        <ModalHeader>关联的知识库({selectedKbList.length})</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}
-        >
-          {kbList.map((item) =>
-            (() => {
-              const selected = !!selectedKbList.find((kb) => kb.kbId === item._id);
-              const active = !!activeKbs.find((kb) => kb.kbId === item._id);
-              return (
-                <Card
-                  key={item._id}
-                  p={3}
-                  border={theme.borders.base}
-                  boxShadow={'sm'}
-                  h={'80px'}
-                  cursor={'pointer'}
-                  order={active ? 0 : 1}
-                  _hover={{
-                    boxShadow: 'md'
-                  }}
-                  {...(selected
-                    ? {
-                        bg: 'myBlue.300'
-                      }
-                    : {})}
-                  onClick={() => {
-                    if (selected) {
-                      setSelectedKbList((state) => state.filter((kb) => kb.kbId !== item._id));
-                    } else {
-                      setSelectedKbList((state) => [...state, { kbId: 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>
-                </Card>
-              );
-            })()
-          )}
-        </ModalBody>
-
-        <ModalFooter>
-          <Button
-            onClick={() => {
-              onClose();
-              onChange(selectedKbList);
-            }}
-          >
-            完成
-          </Button>
-        </ModalFooter>
-      </Flex>
-    </MyModal>
-  );
-};
-
-export const KbParamsModal = ({
-  searchEmptyText,
-  searchLimit,
-  searchSimilarity,
-  onClose,
-  onChange
-}: KbParamsType & { onClose: () => void; onChange: (e: KbParamsType) => void }) => {
-  const [refresh, setRefresh] = useState(false);
-  const { register, setValue, getValues, handleSubmit } = useForm<KbParamsType>({
-    defaultValues: {
-      searchEmptyText,
-      searchLimit,
-      searchSimilarity
-    }
-  });
-
-  return (
-    <MyModal isOpen={true} onClose={onClose} title={'搜索参数调整'} minW={['90vw', '600px']}>
-      <Flex flexDirection={'column'}>
-        <ModalBody>
-          <Box display={['block', 'flex']} py={5} pt={[0, 5]}>
-            <Box flex={'0 0 100px'} mb={[8, 0]}>
-              相似度
-              <MyTooltip label={'高相似度推荐0.8及以上。'} forceShow>
-                <QuestionOutlineIcon ml={1} />
-              </MyTooltip>
-            </Box>
-            <MySlider
-              markList={[
-                { label: '0', value: 0 },
-                { label: '1', value: 1 }
-              ]}
-              min={0}
-              max={1}
-              step={0.01}
-              value={getValues('searchSimilarity')}
-              onChange={(val) => {
-                setValue('searchSimilarity', val);
-                setRefresh(!refresh);
-              }}
-            />
-          </Box>
-          <Box display={['block', 'flex']} py={8}>
-            <Box flex={'0 0 100px'} mb={[8, 0]}>
-              单次搜索数量
-            </Box>
-            <Box flex={1}>
-              <MySlider
-                markList={[
-                  { label: '1', value: 1 },
-                  { label: '20', value: 20 }
-                ]}
-                min={1}
-                max={20}
-                value={getValues('searchLimit')}
-                onChange={(val) => {
-                  setValue('searchLimit', val);
-                  setRefresh(!refresh);
-                }}
-              />
-            </Box>
-          </Box>
-          <Box display={['block', 'flex']} pt={3}>
-            <Box flex={'0 0 100px'} mb={[2, 0]}>
-              空搜索回复
-            </Box>
-            <Box flex={1}>
-              <Textarea
-                rows={5}
-                maxLength={500}
-                placeholder={
-                  '若填写该内容，没有搜索到对应内容时，将直接回复填写的内容。\n为了连贯上下文，FastGpt 会取部分上一个聊天的搜索记录作为补充，因此在连续对话时，该功能可能会失效。'
-                }
-                {...register('searchEmptyText')}
-              ></Textarea>
-            </Box>
-          </Box>
-        </ModalBody>
-        <ModalFooter>
-          <Button variant={'base'} mr={3} onClick={onClose}>
-            取消
-          </Button>
-          <Button
-            onClick={() => {
-              onClose();
-              handleSubmit(onChange)();
-            }}
-          >
-            完成
-          </Button>
-        </ModalFooter>
-      </Flex>
-    </MyModal>
-  );
-};
-
-export default KBSelectModal;
--- a/client/src/pages/app/detail/components/OutLink.tsx
+++ b/client/src/pages/app/detail/components/OutLink.tsx
@@ -1,263 +0,0 @@
-import React, { useState } from 'react';
-import {
-  Flex,
-  Box,
-  Button,
-  TableContainer,
-  Table,
-  Thead,
-  Tr,
-  Th,
-  Td,
-  Tbody,
-  useDisclosure,
-  ModalFooter,
-  ModalBody,
-  FormControl,
-  Input,
-  useTheme
-} from '@chakra-ui/react';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import MyIcon from '@/components/Icon';
-import { useLoading } from '@/hooks/useLoading';
-import { useQuery } from '@tanstack/react-query';
-import { getShareChatList, delShareChatById, createShareChat } from '@/api/chat';
-import { formatTimeToChatTime, useCopyData } from '@/utils/tools';
-import { useForm } from 'react-hook-form';
-import { defaultShareChat } from '@/constants/model';
-import type { ShareChatEditType } from '@/types/app';
-import { useRequest } from '@/hooks/useRequest';
-import { formatPrice } from '@/utils/user';
-import MyTooltip from '@/components/MyTooltip';
-import MyModal from '@/components/MyModal';
-import MyRadio from '@/components/Radio';
-
-const Share = ({ appId }: { appId: string }) => {
-  const { Loading, setIsLoading } = useLoading();
-  const { copyData } = useCopyData();
-  const {
-    isOpen: isOpenCreateShareChat,
-    onOpen: onOpenCreateShareChat,
-    onClose: onCloseCreateShareChat
-  } = useDisclosure();
-  const {
-    register: registerShareChat,
-    getValues: getShareChatValues,
-    setValue: setShareChatValues,
-    handleSubmit: submitShareChat,
-    reset: resetShareChat
-  } = useForm({
-    defaultValues: defaultShareChat
-  });
-
-  const {
-    isFetching,
-    data: shareChatList = [],
-    refetch: refetchShareChatList
-  } = useQuery(['initShareChatList', appId], () => getShareChatList(appId));
-
-  const { mutate: onclickCreateShareChat, isLoading: creating } = useRequest({
-    mutationFn: async (e: ShareChatEditType) =>
-      createShareChat({
-        ...e,
-        appId
-      }),
-    errorToast: '创建分享链接异常',
-    onSuccess(id) {
-      onCloseCreateShareChat();
-      refetchShareChatList();
-      const url = `${location.origin}/chat/share?shareId=${id}`;
-      copyData(url, '创建成功。已复制分享地址，可直接分享使用');
-      resetShareChat(defaultShareChat);
-    }
-  });
-
-  return (
-    <Box position={'relative'} pt={[3, 5, 8]} px={[5, 8]} minH={'50vh'}>
-      <Flex justifyContent={'space-between'}>
-        <Box fontWeight={'bold'}>
-          免登录窗口
-          <MyTooltip
-            forceShow
-            label="可以直接分享该模型给其他用户去进行对话，对方无需登录即可直接进行对话。注意，这个功能会消耗你账号的tokens。请保管好链接和密码。"
-          >
-            <QuestionOutlineIcon ml={1} />
-          </MyTooltip>
-        </Box>
-        <Button
-          variant={'base'}
-          colorScheme={'myBlue'}
-          size={['sm', 'md']}
-          {...(shareChatList.length >= 10
-            ? {
-                isDisabled: true,
-                title: '最多创建10组'
-              }
-            : {})}
-          onClick={onOpenCreateShareChat}
-        >
-          创建新链接
-        </Button>
-      </Flex>
-      <TableContainer mt={3}>
-        <Table variant={'simple'} w={'100%'} overflowX={'auto'}>
-          <Thead>
-            <Tr>
-              <Th>名称</Th>
-              <Th>金额消耗</Th>
-              <Th>最后使用时间</Th>
-              <Th>操作</Th>
-            </Tr>
-          </Thead>
-          <Tbody>
-            {shareChatList.map((item) => (
-              <Tr key={item._id}>
-                <Td>{item.name}</Td>
-                <Td>{formatPrice(item.total)}元</Td>
-                <Td>{item.lastTime ? formatTimeToChatTime(item.lastTime) : '未使用'}</Td>
-                <Td display={'flex'} alignItems={'center'}>
-                  <MyTooltip label={'嵌入网页'}>
-                    <MyIcon
-                      mr={4}
-                      name="apiLight"
-                      w={'14px'}
-                      cursor={'pointer'}
-                      _hover={{ color: 'myBlue.600' }}
-                      onClick={() => {
-                        const url = `${location.origin}/chat/share?shareId=${item.shareId}`;
-                        const src = `${location.origin}/js/iframe.js`;
-                        const script = `<script src="${src}" id="fastgpt-iframe" data-src="${url}" data-color="#4e83fd"></script>`;
-                        copyData(script, '已复制嵌入 Script，可在应用 HTML 底部嵌入', 3000);
-                      }}
-                    />
-                  </MyTooltip>
-                  <MyTooltip label={'复制分享链接'}>
-                    <MyIcon
-                      mr={4}
-                      name="copy"
-                      w={'14px'}
-                      cursor={'pointer'}
-                      _hover={{ color: 'myBlue.600' }}
-                      onClick={() => {
-                        const url = `${location.origin}/chat/share?shareId=${item.shareId}`;
-                        copyData(url, '已复制分享链接，可直接分享使用');
-                      }}
-                    />
-                  </MyTooltip>
-                  <MyTooltip label={'删除链接'}>
-                    <MyIcon
-                      name="delete"
-                      w={'14px'}
-                      cursor={'pointer'}
-                      _hover={{ color: 'red' }}
-                      onClick={async () => {
-                        setIsLoading(true);
-                        try {
-                          await delShareChatById(item._id);
-                          refetchShareChatList();
-                        } catch (error) {
-                          console.log(error);
-                        }
-                        setIsLoading(false);
-                      }}
-                    />
-                  </MyTooltip>
-                </Td>
-              </Tr>
-            ))}
-          </Tbody>
-        </Table>
-      </TableContainer>
-      {shareChatList.length === 0 && !isFetching && (
-        <Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'10vh'}>
-          <MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
-          <Box mt={2} color={'myGray.500'}>
-            没有创建分享链接
-          </Box>
-        </Flex>
-      )}
-      {/* create shareChat modal */}
-      <MyModal
-        isOpen={isOpenCreateShareChat}
-        onClose={onCloseCreateShareChat}
-        title={'创建免登录窗口'}
-      >
-        <ModalBody>
-          <FormControl>
-            <Flex alignItems={'center'}>
-              <Box flex={'0 0 60px'} w={0}>
-                名称:
-              </Box>
-              <Input
-                placeholder="记录名字，仅用于展示"
-                maxLength={20}
-                {...registerShareChat('name', {
-                  required: '记录名称不能为空'
-                })}
-              />
-            </Flex>
-          </FormControl>
-        </ModalBody>
-
-        <ModalFooter>
-          <Button variant={'base'} mr={3} onClick={onCloseCreateShareChat}>
-            取消
-          </Button>
-
-          <Button
-            isLoading={creating}
-            onClick={submitShareChat((data) => onclickCreateShareChat(data))}
-          >
-            确认
-          </Button>
-        </ModalFooter>
-      </MyModal>
-      <Loading loading={isFetching} fixed={false} />
-    </Box>
-  );
-};
-
-enum LinkTypeEnum {
-  share = 'share',
-  iframe = 'iframe'
-}
-
-const OutLink = ({ appId }: { appId: string }) => {
-  const theme = useTheme();
-
-  const [linkType, setLinkType] = useState<`${LinkTypeEnum}`>(LinkTypeEnum.share);
-
-  return (
-    <Box pt={[1, 5]}>
-      <Box fontWeight={'bold'} fontSize={['md', 'xl']} mb={2} px={[4, 8]}>
-        外部使用途径
-      </Box>
-      <Box pb={[5, 7]} px={[4, 8]} borderBottom={theme.borders.base}>
-        <MyRadio
-          gridTemplateColumns={['repeat(1,1fr)', 'repeat(auto-fill, minmax(0, 360px))']}
-          iconSize={'20px'}
-          list={[
-            {
-              icon: 'outlink_share',
-              title: '免登录窗口',
-              desc: '分享链接给其他用户，无需登录即可直接进行使用',
-              value: LinkTypeEnum.share
-            }
-            // {
-            //   icon: 'outlink_iframe',
-            //   title: '网页嵌入',
-            //   desc: '嵌入到已有网页中，右下角会生成对话按键',
-            //   value: LinkTypeEnum.iframe
-            // }
-          ]}
-          value={linkType}
-          onChange={(e) => setLinkType(e as `${LinkTypeEnum}`)}
-        />
-      </Box>
-
-      {linkType === LinkTypeEnum.share && <Share appId={appId} />}
-    </Box>
-  );
-};
-
-export default OutLink;
--- a/client/src/pages/index.tsx
+++ b/client/src/pages/index.tsx
@@ -1,40 +0,0 @@
-import React, { useEffect } from 'react';
-import { Box } from '@chakra-ui/react';
-
-import { serviceSideProps } from '@/utils/i18n';
-
-import Navbar from './components/Navbar';
-import Hero from './components/Hero';
-import Ability from './components/Ability';
-import Choice from './components/Choice';
-import Footer from './components/Footer';
-
-const Home = () => {
-  return (
-    <Box id="home" bg={'myWhite.600'} h={'100vh'} overflowY={'auto'} overflowX={'hidden'}>
-      <Box position={'fixed'} zIndex={10} top={0} left={0} right={0}>
-        <Navbar />
-      </Box>
-      <Box maxW={'1200px'} pt={'70px'} m={'auto'}>
-        <Hero />
-        <Ability />
-        <Box my={[4, 6]}>
-          <Choice />
-        </Box>
-      </Box>
-      <Box bg={'white'}>
-        <Footer />
-      </Box>
-    </Box>
-  );
-};
-
-export async function getServerSideProps(content: any) {
-  return {
-    props: {
-      ...(await serviceSideProps(content))
-    }
-  };
-}
-
-export default Home;
--- a/client/src/pages/kb/detail/components/Import/Manual.tsx
+++ b/client/src/pages/kb/detail/components/Import/Manual.tsx
@@ -1,100 +0,0 @@
-import React, { useCallback, useState } from 'react';
-import { Box, type BoxProps, Flex, Textarea, useTheme, Button } from '@chakra-ui/react';
-import MyRadio from '@/components/Radio/index';
-import { useForm } from 'react-hook-form';
-import { useToast } from '@/hooks/useToast';
-import { useRequest } from '@/hooks/useRequest';
-import { getErrText } from '@/utils/tools';
-import { vectorModelList } from '@/store/static';
-import { postKbDataFromList } from '@/api/plugins/kb';
-import { TrainingModeEnum } from '@/constants/plugin';
-
-type ManualFormType = { q: string; a: string };
-
-const ManualImport = ({ kbId }: { kbId: string }) => {
-  const { register, handleSubmit, reset } = useForm({
-    defaultValues: { q: '', a: '' }
-  });
-  const { toast } = useToast();
-
-  const { mutate: onImportData, isLoading } = useRequest({
-    mutationFn: async (e: ManualFormType) => {
-      if (e.a.length + e.q.length >= 3000) {
-        toast({
-          title: '总长度超长了',
-          status: 'warning'
-        });
-        return;
-      }
-
-      try {
-        const data = {
-          a: e.a,
-          q: e.q,
-          source: '手动录入'
-        };
-        const { insertLen } = await postKbDataFromList({
-          kbId,
-          model: vectorModelList[0].model,
-          mode: TrainingModeEnum.index,
-          data: [data]
-        });
-
-        if (insertLen === 0) {
-          toast({
-            title: '已存在完全一致的数据',
-            status: 'warning'
-          });
-        } else {
-          toast({
-            title: '导入数据成功,需要一段时间训练',
-            status: 'success'
-          });
-          reset({
-            a: '',
-            q: ''
-          });
-        }
-      } catch (err: any) {
-        toast({
-          title: getErrText(err, '出现了点意外~'),
-          status: 'error'
-        });
-      }
-    }
-  });
-
-  return (
-    <Box p={[4, 8]} h={'100%'} overflow={'overlay'}>
-      <Box display={'flex'} flexDirection={['column', 'row']}>
-        <Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']}>
-          <Box h={'30px'}>{'匹配的知识点'}</Box>
-          <Textarea
-            placeholder={'匹配的知识点。这部分内容会被搜索，请把控内容的质量。总和最多 3000 字。'}
-            maxLength={3000}
-            h={['250px', '500px']}
-            {...register(`q`, {
-              required: true
-            })}
-          />
-        </Box>
-        <Box flex={1} h={['50%', '100%']}>
-          <Box h={'30px'}>补充知识</Box>
-          <Textarea
-            placeholder={
-              '补充知识。这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，你可以讲一些细节的内容填写在这里。总和最多 3000 字。'
-            }
-            h={['250px', '500px']}
-            maxLength={3000}
-            {...register('a')}
-          />
-        </Box>
-      </Box>
-      <Button mt={5} isLoading={isLoading} onClick={handleSubmit((data) => onImportData(data))}>
-        确认导入
-      </Button>
-    </Box>
-  );
-};
-
-export default React.memo(ManualImport);
--- a/client/src/pages/kb/detail/components/InputDataModal.tsx
+++ b/client/src/pages/kb/detail/components/InputDataModal.tsx
@@ -1,220 +0,0 @@
-import React, { useState, useCallback } from 'react';
-import { Box, Flex, Button, Textarea, IconButton } from '@chakra-ui/react';
-import { useForm } from 'react-hook-form';
-import { postKbDataFromList, putKbDataById, delOneKbDataByDataId } from '@/api/plugins/kb';
-import { useToast } from '@/hooks/useToast';
-import { TrainingModeEnum } from '@/constants/plugin';
-import { getErrText } from '@/utils/tools';
-import { vectorModelList } from '@/store/static';
-import MyIcon from '@/components/Icon';
-import MyModal from '@/components/MyModal';
-
-export type FormData = { dataId?: string; a: string; q: string };
-
-const InputDataModal = ({
-  onClose,
-  onSuccess,
-  onDelete,
-  kbId,
-  defaultValues = {
-    a: '',
-    q: ''
-  }
-}: {
-  onClose: () => void;
-  onSuccess: (data: FormData) => void;
-  onDelete?: () => void;
-  kbId: string;
-  defaultValues?: FormData;
-}) => {
-  const [loading, setLoading] = useState(false);
-  const { toast } = useToast();
-
-  const { register, handleSubmit, reset } = useForm<FormData>({
-    defaultValues
-  });
-
-  /**
-   * 确认导入新数据
-   */
-  const sureImportData = useCallback(
-    async (e: FormData) => {
-      if (e.a.length + e.q.length >= 3000) {
-        toast({
-          title: '总长度超长了',
-          status: 'warning'
-        });
-        return;
-      }
-      setLoading(true);
-
-      try {
-        const data = {
-          a: e.a,
-          q: e.q,
-          source: '手动录入'
-        };
-        const { insertLen } = await postKbDataFromList({
-          kbId,
-          model: vectorModelList[0].model,
-          mode: TrainingModeEnum.index,
-          data: [data]
-        });
-
-        if (insertLen === 0) {
-          toast({
-            title: '已存在完全一致的数据',
-            status: 'warning'
-          });
-        } else {
-          toast({
-            title: '导入数据成功,需要一段时间训练',
-            status: 'success'
-          });
-          reset({
-            a: '',
-            q: ''
-          });
-        }
-
-        onSuccess(data);
-      } catch (err: any) {
-        toast({
-          title: getErrText(err, '出现了点意外~'),
-          status: 'error'
-        });
-      }
-      setLoading(false);
-    },
-    [kbId, onSuccess, reset, toast]
-  );
-
-  const updateData = useCallback(
-    async (e: FormData) => {
-      if (!e.dataId) return;
-
-      if (e.a !== defaultValues.a || e.q !== defaultValues.q) {
-        setLoading(true);
-        try {
-          const data = {
-            dataId: e.dataId,
-            kbId,
-            a: e.a,
-            q: e.q === defaultValues.q ? '' : e.q
-          };
-          await putKbDataById(data);
-          onSuccess(data);
-        } catch (err) {
-          toast({
-            status: 'error',
-            title: getErrText(err, '更新数据失败')
-          });
-        }
-        setLoading(false);
-      }
-
-      toast({
-        title: '修改数据成功',
-        status: 'success'
-      });
-      onClose();
-    },
-    [defaultValues.a, defaultValues.q, kbId, onClose, onSuccess, toast]
-  );
-
-  return (
-    <MyModal
-      isOpen={true}
-      onClose={onClose}
-      isCentered
-      title={defaultValues.dataId ? '变更数据' : '手动导入数据'}
-      w={'90vw'}
-      maxW={'90vw'}
-      h={'90vh'}
-    >
-      <Flex flexDirection={'column'} h={'100%'}>
-        <Box
-          display={'flex'}
-          flexDirection={['column', 'row']}
-          flex={'1 0 0'}
-          h={['100%', 0]}
-          overflow={'overlay'}
-          px={6}
-          pb={2}
-        >
-          <Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']}>
-            <Box h={'30px'}>{'匹配的知识点'}</Box>
-            <Textarea
-              placeholder={'匹配的知识点。这部分内容会被搜索，请把控内容的质量。总和最多 3000 字。'}
-              maxLength={3000}
-              resize={'none'}
-              h={'calc(100% - 30px)'}
-              {...register(`q`, {
-                required: true
-              })}
-            />
-          </Box>
-          <Box flex={1} h={['50%', '100%']}>
-            <Box h={'30px'}>补充知识</Box>
-            <Textarea
-              placeholder={
-                '补充知识。这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，你可以讲一些细节的内容填写在这里。总和最多 3000 字。'
-              }
-              maxLength={3000}
-              resize={'none'}
-              h={'calc(100% - 30px)'}
-              {...register('a')}
-            />
-          </Box>
-        </Box>
-
-        <Flex px={6} pt={2} pb={4} alignItems={'center'}>
-          <Box flex={1}>
-            {defaultValues.dataId && onDelete && (
-              <IconButton
-                variant={'outline'}
-                icon={<MyIcon name={'delete'} w={'16px'} h={'16px'} />}
-                aria-label={''}
-                isLoading={loading}
-                size={'sm'}
-                _hover={{
-                  color: 'red.600',
-                  borderColor: 'red.600'
-                }}
-                onClick={async () => {
-                  if (!onDelete || !defaultValues.dataId) return;
-                  try {
-                    await delOneKbDataByDataId(defaultValues.dataId);
-                    onDelete();
-                    onClose();
-                    toast({
-                      status: 'success',
-                      title: '记录已删除'
-                    });
-                  } catch (error) {
-                    toast({
-                      status: 'warning',
-                      title: getErrText(error)
-                    });
-                    console.log(error);
-                  }
-                }}
-              />
-            )}
-          </Box>
-          <Button variant={'base'} mr={3} isLoading={loading} onClick={onClose}>
-            取消
-          </Button>
-          <Button
-            isLoading={loading}
-            onClick={handleSubmit(defaultValues.dataId ? updateData : sureImportData)}
-          >
-            {defaultValues.dataId ? '确认变更' : '确认导入'}
-          </Button>
-        </Flex>
-      </Flex>
-    </MyModal>
-  );
-};
-
-export default InputDataModal;
--- a/client/src/pages/kb/detail/index.tsx
+++ b/client/src/pages/kb/detail/index.tsx
@@ -1,188 +0,0 @@
-import React, { useCallback, useMemo, useRef } from 'react';
-import { useRouter } from 'next/router';
-import { Box, Flex, IconButton, useTheme } from '@chakra-ui/react';
-import { useToast } from '@/hooks/useToast';
-import { useForm } from 'react-hook-form';
-import { useQuery } from '@tanstack/react-query';
-import { useUserStore } from '@/store/user';
-import { KbItemType } from '@/types/plugin';
-import { getErrText } from '@/utils/tools';
-import { useGlobalStore } from '@/store/global';
-import { type ComponentRef } from './components/Info';
-import Tabs from '@/components/Tabs';
-import dynamic from 'next/dynamic';
-import DataCard from './components/DataCard';
-import MyIcon from '@/components/Icon';
-import SideTabs from '@/components/SideTabs';
-import PageContainer from '@/components/PageContainer';
-import Avatar from '@/components/Avatar';
-import Info from './components/Info';
-import { serviceSideProps } from '@/utils/i18n';
-import { useTranslation } from 'react-i18next';
-import { getTrainingQueueLen } from '@/api/plugins/kb';
-import MyTooltip from '@/components/MyTooltip';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-
-const ImportData = dynamic(() => import('./components/Import'), {
-  ssr: false
-});
-const Test = dynamic(() => import('./components/Test'), {
-  ssr: false
-});
-
-enum TabEnum {
-  data = 'data',
-  import = 'import',
-  test = 'test',
-  info = 'info'
-}
-
-const Detail = ({ kbId, currentTab }: { kbId: string; currentTab: `${TabEnum}` }) => {
-  const InfoRef = useRef<ComponentRef>(null);
-  const theme = useTheme();
-  const { t } = useTranslation();
-  const { toast } = useToast();
-  const router = useRouter();
-  const { isPc } = useGlobalStore();
-  const { kbDetail, getKbDetail } = useUserStore();
-
-  const tabList = useRef([
-    { label: '数据集', id: TabEnum.data, icon: 'overviewLight' },
-    { label: '导入数据', id: TabEnum.import, icon: 'importLight' },
-    { label: '搜索测试', id: TabEnum.test, icon: 'kbTest' },
-    { label: '配置', id: TabEnum.info, icon: 'settingLight' }
-  ]);
-
-  const setCurrentTab = useCallback(
-    (tab: `${TabEnum}`) => {
-      router.replace({
-        query: {
-          kbId,
-          currentTab: tab
-        }
-      });
-    },
-    [kbId, router]
-  );
-
-  const form = useForm<KbItemType>({
-    defaultValues: kbDetail
-  });
-
-  useQuery([kbId], () => getKbDetail(kbId), {
-    onSuccess(res) {
-      InfoRef.current?.initInput(res.tags);
-      form.reset(res);
-    },
-    onError(err: any) {
-      router.replace(`/kb/list`);
-      toast({
-        title: getErrText(err, '获取知识库异常'),
-        status: 'error'
-      });
-    }
-  });
-
-  const { data: trainingQueueLen = 0 } = useQuery(['getTrainingQueueLen'], getTrainingQueueLen, {
-    refetchInterval: 5000
-  });
-
-  return (
-    <PageContainer>
-      <Box display={['block', 'flex']} h={'100%'} pt={[4, 0]}>
-        {isPc ? (
-          <Flex
-            flexDirection={'column'}
-            p={4}
-            h={'100%'}
-            flex={'0 0 200px'}
-            borderRight={theme.borders.base}
-          >
-            <Flex mb={4} alignItems={'center'}>
-              <Avatar src={kbDetail.avatar} w={'34px'} borderRadius={'lg'} />
-              <Box ml={2} fontWeight={'bold'}>
-                {kbDetail.name}
-              </Box>
-            </Flex>
-            <SideTabs
-              flex={1}
-              mx={'auto'}
-              mt={2}
-              w={'100%'}
-              list={tabList.current}
-              activeId={currentTab}
-              onChange={(e: any) => {
-                setCurrentTab(e);
-              }}
-            />
-            <Box textAlign={'center'}>
-              <Flex justifyContent={'center'} alignItems={'center'}>
-                <MyIcon mr={1} name="overviewLight" w={'16px'} color={'green.500'} />
-                <Box>{t('dataset.System Data Queue')}</Box>
-                <MyTooltip label={t('dataset.Queue Desc')} placement={'top'}>
-                  <QuestionOutlineIcon ml={1} w={'16px'} />
-                </MyTooltip>
-              </Flex>
-              <Box mt={1} fontWeight={'bold'}>
-                {trainingQueueLen}
-              </Box>
-            </Box>
-            <Flex
-              alignItems={'center'}
-              cursor={'pointer'}
-              py={2}
-              px={3}
-              borderRadius={'md'}
-              _hover={{ bg: 'myGray.100' }}
-              onClick={() => router.replace('/kb/list')}
-            >
-              <IconButton
-                mr={3}
-                icon={<MyIcon name={'backFill'} w={'18px'} color={'myBlue.600'} />}
-                bg={'white'}
-                boxShadow={'1px 1px 9px rgba(0,0,0,0.15)'}
-                h={'28px'}
-                size={'sm'}
-                borderRadius={'50%'}
-                aria-label={''}
-              />
-              全部知识库
-            </Flex>
-          </Flex>
-        ) : (
-          <Box mb={3}>
-            <Tabs
-              m={'auto'}
-              w={'260px'}
-              size={isPc ? 'md' : 'sm'}
-              list={tabList.current.map((item) => ({
-                id: item.id,
-                label: item.label
-              }))}
-              activeId={currentTab}
-              onChange={(e: any) => setCurrentTab(e)}
-            />
-          </Box>
-        )}
-
-        <Box flex={'1 0 0'} h={'100%'} pb={[4, 0]}>
-          {currentTab === TabEnum.data && <DataCard kbId={kbId} />}
-          {currentTab === TabEnum.import && <ImportData kbId={kbId} />}
-          {currentTab === TabEnum.test && <Test kbId={kbId} />}
-          {currentTab === TabEnum.info && <Info ref={InfoRef} kbId={kbId} form={form} />}
-        </Box>
-      </Box>
-    </PageContainer>
-  );
-};
-
-export async function getServerSideProps(context: any) {
-  const currentTab = context?.query?.currentTab || TabEnum.data;
-  const kbId = context?.query?.kbId;
-
-  return {
-    props: { currentTab, kbId, ...(await serviceSideProps(context)) }
-  };
-}
-
-export default React.memo(Detail);
--- a/client/src/pages/kb/list/index.tsx
+++ b/client/src/pages/kb/list/index.tsx
@@ -1,168 +0,0 @@
-import React, { useCallback } from 'react';
-import { Box, Card, Flex, Grid, useTheme, Button, IconButton } from '@chakra-ui/react';
-import { useRouter } from 'next/router';
-import { useUserStore } from '@/store/user';
-import PageContainer from '@/components/PageContainer';
-import { useConfirm } from '@/hooks/useConfirm';
-import { AddIcon } from '@chakra-ui/icons';
-import { useQuery } from '@tanstack/react-query';
-import { useToast } from '@/hooks/useToast';
-import { delKbById, postCreateKb } from '@/api/plugins/kb';
-import { useRequest } from '@/hooks/useRequest';
-import Avatar from '@/components/Avatar';
-import MyIcon from '@/components/Icon';
-import Tag from '@/components/Tag';
-import { serviceSideProps } from '@/utils/i18n';
-
-const Kb = () => {
-  const theme = useTheme();
-  const router = useRouter();
-  const { toast } = useToast();
-  const { openConfirm, ConfirmModal } = useConfirm({
-    title: '删除提示',
-    content: '确认删除该知识库？'
-  });
-  const { myKbList, loadKbList, setKbList } = useUserStore();
-
-  useQuery(['loadKbList'], () => loadKbList());
-
-  /* 点击删除 */
-  const onclickDelKb = useCallback(
-    async (id: string) => {
-      try {
-        delKbById(id);
-        toast({
-          title: '删除成功',
-          status: 'success'
-        });
-        setKbList(myKbList.filter((item) => item._id !== id));
-      } catch (err: any) {
-        toast({
-          title: err?.message || '删除失败',
-          status: 'error'
-        });
-      }
-    },
-    [toast, setKbList, myKbList]
-  );
-
-  /* create a new kb and router to it */
-  const { mutate: onclickCreate, isLoading } = useRequest({
-    mutationFn: async () => {
-      const name = `知识库${myKbList.length + 1}`;
-      const id = await postCreateKb({ name });
-      return id;
-    },
-    successToast: '创建成功',
-    errorToast: '创建知识库出现意外',
-    onSuccess(id) {
-      router.push(`/kb/detail?kbId=${id}`);
-    }
-  });
-
-  return (
-    <PageContainer>
-      <Flex pt={3} px={5} alignItems={'center'}>
-        <Box flex={1} className="textlg" letterSpacing={1} fontSize={'24px'} fontWeight={'bold'}>
-          我的知识库
-        </Box>
-        <Button
-          isLoading={isLoading}
-          leftIcon={<AddIcon />}
-          variant={'base'}
-          onClick={onclickCreate}
-        >
-          新建
-        </Button>
-      </Flex>
-      <Grid
-        p={5}
-        gridTemplateColumns={['1fr', 'repeat(3,1fr)', 'repeat(4,1fr)', 'repeat(5,1fr)']}
-        gridGap={5}
-      >
-        {myKbList.map((kb) => (
-          <Card
-            display={'flex'}
-            flexDirection={'column'}
-            key={kb._id}
-            py={4}
-            px={5}
-            cursor={'pointer'}
-            h={'140px'}
-            border={theme.borders.md}
-            boxShadow={'none'}
-            userSelect={'none'}
-            position={'relative'}
-            _hover={{
-              boxShadow: '1px 1px 10px rgba(0,0,0,0.2)',
-              borderColor: 'transparent',
-              '& .delete': {
-                display: 'block'
-              }
-            }}
-            onClick={() =>
-              router.push({
-                pathname: '/kb/detail',
-                query: {
-                  kbId: kb._id
-                }
-              })
-            }
-          >
-            <Flex alignItems={'center'} h={'38px'}>
-              <Avatar src={kb.avatar} borderRadius={'lg'} w={'28px'} />
-              <Box ml={3}>{kb.name}</Box>
-              <IconButton
-                className="delete"
-                position={'absolute'}
-                top={4}
-                right={4}
-                size={'sm'}
-                icon={<MyIcon name={'delete'} w={'14px'} />}
-                variant={'base'}
-                borderRadius={'md'}
-                aria-label={'delete'}
-                display={['', 'none']}
-                _hover={{
-                  bg: 'red.100'
-                }}
-                onClick={(e) => {
-                  e.stopPropagation();
-                  openConfirm(() => onclickDelKb(kb._id))();
-                }}
-              />
-            </Flex>
-            <Box flex={'1 0 0'} overflow={'hidden'} pt={2}>
-              <Flex>
-                {kb.tags.map((tag, i) => (
-                  <Tag key={i} mr={2} mb={2}>
-                    {tag}
-                  </Tag>
-                ))}
-              </Flex>
-            </Box>
-          </Card>
-        ))}
-      </Grid>
-      {myKbList.length === 0 && (
-        <Flex mt={'35vh'} flexDirection={'column'} alignItems={'center'}>
-          <MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
-          <Box mt={2} color={'myGray.500'}>
-            还没有知识库，快去创建一个吧！
-          </Box>
-        </Flex>
-      )}
-      <ConfirmModal />
-    </PageContainer>
-  );
-};
-
-export async function getServerSideProps(content: any) {
-  return {
-    props: {
-      ...(await serviceSideProps(content))
-    }
-  };
-}
-
-export default Kb;
--- a/client/src/pages/login/components/LoginForm.tsx
+++ b/client/src/pages/login/components/LoginForm.tsx
@@ -1,157 +0,0 @@
-import React, { useState, Dispatch, useCallback } from 'react';
-import { FormControl, Flex, Input, Button, FormErrorMessage, Box } from '@chakra-ui/react';
-import { useForm } from 'react-hook-form';
-import { useRouter } from 'next/router';
-import { PageTypeEnum } from '@/constants/user';
-import { postLogin } from '@/api/user';
-import type { ResLogin } from '@/api/response/user';
-import { useToast } from '@/hooks/useToast';
-import { feConfigs } from '@/store/static';
-import { useGlobalStore } from '@/store/global';
-import MyIcon from '@/components/Icon';
-
-interface Props {
-  setPageType: Dispatch<`${PageTypeEnum}`>;
-  loginSuccess: (e: ResLogin) => void;
-}
-
-interface LoginFormType {
-  username: string;
-  password: string;
-}
-
-const LoginForm = ({ setPageType, loginSuccess }: Props) => {
-  const router = useRouter();
-  const { lastRoute = '/app/list' } = router.query as { lastRoute: string };
-  const { toast } = useToast();
-  const { setLoginStore } = useGlobalStore();
-  const {
-    register,
-    handleSubmit,
-    formState: { errors }
-  } = useForm<LoginFormType>();
-
-  const [requesting, setRequesting] = useState(false);
-
-  const onclickLogin = useCallback(
-    async ({ username, password }: LoginFormType) => {
-      setRequesting(true);
-      try {
-        loginSuccess(
-          await postLogin({
-            username,
-            password
-          })
-        );
-        toast({
-          title: '登录成功',
-          status: 'success'
-        });
-      } catch (error: any) {
-        toast({
-          title: error.message || '登录异常',
-          status: 'error'
-        });
-      }
-      setRequesting(false);
-    },
-    [loginSuccess, toast]
-  );
-
-  const onclickGit = useCallback(() => {
-    setLoginStore({
-      provider: 'git',
-      lastRoute
-    });
-    router.replace(
-      `https://github.com/login/oauth/authorize?client_id=${
-        feConfigs?.gitLoginKey
-      }&redirect_uri=${`${location.origin}/login/provider`}&scope=user:email%20read:user`,
-      '_self'
-    );
-  }, [lastRoute, setLoginStore]);
-
-  return (
-    <>
-      <Box fontWeight={'bold'} fontSize={'2xl'} textAlign={'center'}>
-        登录 {feConfigs?.systemTitle}
-      </Box>
-      <form onSubmit={handleSubmit(onclickLogin)}>
-        <FormControl mt={8} isInvalid={!!errors.username}>
-          <Input
-            placeholder="邮箱/手机号/用户名"
-            size={['md', 'lg']}
-            {...register('username', {
-              required: '邮箱/手机号/用户名不能为空'
-            })}
-          ></Input>
-          <FormErrorMessage position={'absolute'} fontSize="xs">
-            {!!errors.username && errors.username.message}
-          </FormErrorMessage>
-        </FormControl>
-        <FormControl mt={8} isInvalid={!!errors.password}>
-          <Input
-            type={'password'}
-            size={['md', 'lg']}
-            placeholder="密码"
-            {...register('password', {
-              required: '密码不能为空',
-              maxLength: {
-                value: 20,
-                message: '密码最多 20 位'
-              }
-            })}
-          ></Input>
-          <FormErrorMessage position={'absolute'} fontSize="xs">
-            {!!errors.password && errors.password.message}
-          </FormErrorMessage>
-        </FormControl>
-        {feConfigs?.show_register && (
-          <Flex align={'center'} justifyContent={'space-between'} mt={3} color={'myBlue.600'}>
-            <Box
-              cursor={'pointer'}
-              _hover={{ textDecoration: 'underline' }}
-              onClick={() => setPageType('forgetPassword')}
-              fontSize="sm"
-            >
-              忘记密码?
-            </Box>
-            <Box
-              cursor={'pointer'}
-              _hover={{ textDecoration: 'underline' }}
-              onClick={() => setPageType('register')}
-              fontSize="sm"
-            >
-              注册账号
-            </Box>
-          </Flex>
-        )}
-        <Button
-          type="submit"
-          mt={6}
-          w={'100%'}
-          size={['md', 'lg']}
-          colorScheme="blue"
-          isLoading={requesting}
-        >
-          登录
-        </Button>
-        {feConfigs?.show_register && (
-          <>
-            <Flex mt={10} justifyContent={'center'} alignItems={'center'}>
-              <MyIcon
-                name="gitFill"
-                w={'34px'}
-                cursor={'pointer'}
-                color={'myGray.800'}
-                onClick={onclickGit}
-              />
-            </Flex>
-          </>
-        )}
-      </form>
-    </>
-  );
-};
-
-export default LoginForm;
--- a/client/src/pages/login/index.tsx
+++ b/client/src/pages/login/index.tsx
@@ -1,129 +0,0 @@
-import React, { useState, useCallback } from 'react';
-import styles from './index.module.scss';
-import { Box, Flex, Image, useDisclosure } from '@chakra-ui/react';
-import { PageTypeEnum } from '@/constants/user';
-import { useGlobalStore } from '@/store/global';
-import type { ResLogin } from '@/api/response/user';
-import { useRouter } from 'next/router';
-import { useUserStore } from '@/store/user';
-import { useChatStore } from '@/store/chat';
-import LoginForm from './components/LoginForm';
-import dynamic from 'next/dynamic';
-import { serviceSideProps } from '@/utils/i18n';
-import { setToken } from '@/utils/user';
-import { feConfigs } from '@/store/static';
-import CommunityModal from '@/components/CommunityModal';
-const RegisterForm = dynamic(() => import('./components/RegisterForm'));
-const ForgetPasswordForm = dynamic(() => import('./components/ForgetPasswordForm'));
-
-const Login = () => {
-  const router = useRouter();
-  const { lastRoute = '' } = router.query as { lastRoute: string };
-  const { isPc } = useGlobalStore();
-  const [pageType, setPageType] = useState<`${PageTypeEnum}`>(PageTypeEnum.login);
-  const { setUserInfo } = useUserStore();
-  const { setLastChatId, setLastChatAppId } = useChatStore();
-  const { isOpen, onOpen, onClose } = useDisclosure();
-
-  const loginSuccess = useCallback(
-    (res: ResLogin) => {
-      // init store
-      setLastChatId('');
-      setLastChatAppId('');
-
-      setUserInfo(res.user);
-      setToken(res.token);
-      setTimeout(() => {
-        router.push(lastRoute ? decodeURIComponent(lastRoute) : '/app/list');
-      }, 100);
-    },
-    [lastRoute, router, setLastChatId, setLastChatAppId, setUserInfo]
-  );
-
-  function DynamicComponent({ type }: { type: `${PageTypeEnum}` }) {
-    const TypeMap = {
-      [PageTypeEnum.login]: LoginForm,
-      [PageTypeEnum.register]: RegisterForm,
-      [PageTypeEnum.forgetPassword]: ForgetPasswordForm
-    };
-
-    const Component = TypeMap[type];
-
-    return <Component setPageType={setPageType} loginSuccess={loginSuccess} />;
-  }
-
-  return (
-    <Flex
-      alignItems={'center'}
-      justifyContent={'center'}
-      className={styles.loginPage}
-      h={'100%'}
-      px={[0, '10vw']}
-    >
-      <Flex
-        height="100%"
-        w={'100%'}
-        maxW={'1240px'}
-        maxH={['auto', 'max(660px,80vh)']}
-        backgroundColor={'#fff'}
-        alignItems={'center'}
-        justifyContent={'center'}
-        py={[5, 10]}
-        px={'5vw'}
-        borderRadius={isPc ? 'md' : 'none'}
-        gap={5}
-      >
-        {isPc && (
-          <Image
-            src={'/icon/loginLeft.svg'}
-            order={pageType === PageTypeEnum.login ? 0 : 2}
-            flex={'1 0 0'}
-            w="0"
-            maxW={'600px'}
-            height={'100%'}
-            maxH={'450px'}
-            alt=""
-          />
-        )}
-
-        <Box
-          position={'relative'}
-          order={1}
-          flex={`0 0 ${isPc ? '400px' : '100%'}`}
-          height={'100%'}
-          border="1px"
-          borderColor="gray.200"
-          py={5}
-          px={10}
-          borderRadius={isPc ? 'md' : 'none'}
-        >
-          <DynamicComponent type={pageType} />
-
-          {feConfigs?.show_register && (
-            <Box
-              fontSize={'sm'}
-              color={'myGray.600'}
-              cursor={'pointer'}
-              position={'absolute'}
-              right={5}
-              bottom={3}
-              onClick={onOpen}
-            >
-              无法登录，点击联系
-            </Box>
-          )}
-        </Box>
-      </Flex>
-
-      {isOpen && <CommunityModal onClose={onClose} />}
-    </Flex>
-  );
-};
-
-export async function getServerSideProps(context: any) {
-  return {
-    props: { ...(await serviceSideProps(context)) }
-  };
-}
-
-export default Login;
--- a/client/src/pages/login/provider.tsx
+++ b/client/src/pages/login/provider.tsx
@@ -1,88 +0,0 @@
-import React, { useCallback, useEffect } from 'react';
-import { useRouter } from 'next/router';
-import { useGlobalStore } from '@/store/global';
-import { ResLogin } from '@/api/response/user';
-import { useChatStore } from '@/store/chat';
-import { useUserStore } from '@/store/user';
-import { setToken } from '@/utils/user';
-import { gitLogin } from '@/api/user';
-import { useToast } from '@/hooks/useToast';
-import Loading from '@/components/Loading';
-import { serviceSideProps } from '@/utils/i18n';
-import { useQuery } from '@tanstack/react-query';
-
-const provider = ({ code }: { code: string }) => {
-  const { loginStore } = useGlobalStore();
-  const { setLastChatId, setLastChatAppId } = useChatStore();
-  const { setUserInfo } = useUserStore();
-  const router = useRouter();
-  const { toast } = useToast();
-
-  const loginSuccess = useCallback(
-    (res: ResLogin) => {
-      // init store
-      setLastChatId('');
-      setLastChatAppId('');
-
-      setUserInfo(res.user);
-      setToken(res.token);
-      setTimeout(() => {
-        router.push(
-          loginStore?.lastRoute ? decodeURIComponent(loginStore?.lastRoute) : '/app/list'
-        );
-      }, 100);
-    },
-    [setLastChatId, setLastChatAppId, setUserInfo, router, loginStore?.lastRoute]
-  );
-
-  const authCode = useCallback(async () => {
-    if (!code) return;
-    if (!loginStore) {
-      router.replace('/login');
-      return;
-    }
-    try {
-      const res = await (async () => {
-        if (loginStore.provider === 'git') {
-          return gitLogin({
-            code,
-            inviterId: localStorage.getItem('inviterId') || ''
-          });
-        }
-        return null;
-      })();
-      if (!res) {
-        toast({
-          status: 'warning',
-          title: '登录异常'
-        });
-        return router.replace('/login');
-      }
-      loginSuccess(res);
-    } catch (error) {
-      toast({
-        status: 'warning',
-        title: '登录异常'
-      });
-      router.replace('/login');
-    }
-  }, [code, loginStore, loginSuccess]);
-
-  useQuery(['init', code], () => {
-    authCode();
-    return null;
-  });
-
-  return <Loading />;
-};
-
-export async function getServerSideProps(content: any) {
-  return {
-    props: {
-      code: content?.query?.code,
-      ...(await serviceSideProps(content))
-    }
-  };
-}
-
-export default provider;
--- a/client/src/service/ai/openai.ts
+++ b/client/src/service/ai/openai.ts
@@ -1,28 +0,0 @@
-import { UserModelSchema } from '@/types/mongoSchema';
-import { Configuration, OpenAIApi } from 'openai';
-
-export const openaiBaseUrl = process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1';
-export const baseUrl = process.env.ONEAPI_URL || openaiBaseUrl;
-
-export const systemAIChatKey = process.env.CHAT_API_KEY || '';
-
-export const getAIChatApi = (props?: UserModelSchema['openaiAccount']) => {
-  return new OpenAIApi(
-    new Configuration({
-      basePath: props?.baseUrl || baseUrl,
-      apiKey: props?.key || systemAIChatKey
-    })
-  );
-};
-
-/* openai axios config */
-export const axiosConfig = (props?: UserModelSchema['openaiAccount']) => {
-  return {
-    baseURL: props?.baseUrl || baseUrl, // 此处仅对非 npm 模块有效
-    httpsAgent: global.httpsAgent,
-    headers: {
-      Authorization: `Bearer ${props?.key || systemAIChatKey}`,
-      auth: process.env.OPENAI_BASE_URL_AUTH || ''
-    }
-  };
-};
--- a/client/src/service/events/pushBill.ts
+++ b/client/src/service/events/pushBill.ts
@@ -1,177 +0,0 @@
-import { connectToDatabase, Bill, User, OutLink } from '../mongo';
-import { BillSourceEnum } from '@/constants/user';
-import { getModel } from '../utils/data';
-import { ChatHistoryItemResType } from '@/types/chat';
-import { formatPrice } from '@/utils/user';
-import { addLog } from '../utils/tools';
-
-export const pushTaskBill = async ({
-  appName,
-  appId,
-  userId,
-  source,
-  shareId,
-  response
-}: {
-  appName: string;
-  appId: string;
-  userId: string;
-  source: `${BillSourceEnum}`;
-  shareId?: string;
-  response: ChatHistoryItemResType[];
-}) => {
-  const total = response.reduce((sum, item) => sum + item.price, 0);
-
-  await Promise.allSettled([
-    Bill.create({
-      userId,
-      appName,
-      appId,
-      total,
-      source,
-      list: response.map((item) => ({
-        moduleName: item.moduleName,
-        amount: item.price || 0,
-        model: item.model,
-        tokenLen: item.tokens
-      }))
-    }),
-    User.findByIdAndUpdate(userId, {
-      $inc: { balance: -total }
-    }),
-    ...(shareId
-      ? [
-          updateShareChatBill({
-            shareId,
-            total
-          })
-        ]
-      : [])
-  ]);
-
-  addLog.info(`finish completions`, {
-    source,
-    userId,
-    price: formatPrice(total)
-  });
-};
-
-export const updateShareChatBill = async ({
-  shareId,
-  total
-}: {
-  shareId: string;
-  total: number;
-}) => {
-  try {
-    await OutLink.findOneAndUpdate(
-      { shareId },
-      {
-        $inc: { total },
-        lastTime: new Date()
-      }
-    );
-  } catch (err) {
-    addLog.error('update shareChat error', { err });
-  }
-};
-
-export const pushSplitDataBill = async ({
-  userId,
-  totalTokens,
-  model,
-  appName
-}: {
-  model: string;
-  userId: string;
-  totalTokens: number;
-  appName: string;
-}) => {
-  addLog.info('splitData generate success', { totalTokens });
-
-  let billId;
-
-  try {
-    await connectToDatabase();
-
-    // 获取模型单价格, 都是用 gpt35 拆分
-    const unitPrice = global.chatModels.find((item) => item.model === model)?.price || 3;
-    // 计算价格
-    const total = unitPrice * totalTokens;
-
-    // 插入 Bill 记录
-    const res = await Bill.create({
-      userId,
-      appName,
-      tokenLen: totalTokens,
-      total
-    });
-    billId = res._id;
-
-    // 账号扣费
-    await User.findByIdAndUpdate(userId, {
-      $inc: { balance: -total }
-    });
-  } catch (err) {
-    addLog.error('Create completions bill error', { err });
-    billId && Bill.findByIdAndDelete(billId);
-  }
-};
-
-export const pushGenerateVectorBill = async ({
-  userId,
-  tokenLen,
-  model
-}: {
-  userId: string;
-  tokenLen: number;
-  model: string;
-}) => {
-  let billId;
-
-  try {
-    await connectToDatabase();
-
-    try {
-      // 计算价格. 至少为1
-      const vectorModel =
-        global.vectorModels.find((item) => item.model === model) || global.vectorModels[0];
-      const unitPrice = vectorModel.price || 0.2;
-      let total = unitPrice * tokenLen;
-      total = total > 1 ? total : 1;
-
-      // 插入 Bill 记录
-      const res = await Bill.create({
-        userId,
-        model: vectorModel.model,
-        appName: '索引生成',
-        total,
-        list: [
-          {
-            moduleName: '索引生成',
-            amount: total,
-            model: vectorModel.model,
-            tokenLen
-          }
-        ]
-      });
-      billId = res._id;
-
-      // 账号扣费
-      await User.findByIdAndUpdate(userId, {
-        $inc: { balance: -total }
-      });
-    } catch (err) {
-      addLog.error('Create generateVector bill error', { err });
-      billId && Bill.findByIdAndDelete(billId);
-    }
-  } catch (error) {
-    console.log(error);
-  }
-};
-
-export const countModelPrice = ({ model, tokens }: { model: string; tokens: number }) => {
-  const modelData = getModel(model);
-  if (!modelData) return 0;
-  return modelData.price * tokens;
-};
--- a/client/src/service/models/kb.ts
+++ b/client/src/service/models/kb.ts
@@ -1,33 +0,0 @@
-import { Schema, model, models, Model } from 'mongoose';
-import { kbSchema as SchemaType } from '@/types/mongoSchema';
-
-const kbSchema = new Schema({
-  userId: {
-    type: Schema.Types.ObjectId,
-    ref: 'user',
-    required: true
-  },
-  updateTime: {
-    type: Date,
-    default: () => new Date()
-  },
-  avatar: {
-    type: String,
-    default: '/icon/logo.svg'
-  },
-  name: {
-    type: String,
-    required: true
-  },
-  model: {
-    type: String,
-    required: true,
-    default: 'text-embedding-ada-002'
-  },
-  tags: {
-    type: [String],
-    default: []
-  }
-});
-
-export const KB: Model<SchemaType> = models['kb'] || model('kb', kbSchema);
--- a/client/src/service/models/openapi.ts
+++ b/client/src/service/models/openapi.ts
@@ -1,23 +0,0 @@
-import { Schema, model, models, Model } from 'mongoose';
-import { OpenApiSchema } from '@/types/mongoSchema';
-
-const OpenApiSchema = new Schema({
-  userId: {
-    type: Schema.Types.ObjectId,
-    ref: 'user',
-    required: true
-  },
-  apiKey: {
-    type: String,
-    required: true
-  },
-  createTime: {
-    type: Date,
-    default: () => new Date()
-  },
-  lastUsedTime: {
-    type: Date
-  }
-});
-
-export const OpenApi: Model<OpenApiSchema> = models['openapi'] || model('openapi', OpenApiSchema);
--- a/client/src/service/models/outLink.ts
+++ b/client/src/service/models/outLink.ts
@@ -1,37 +0,0 @@
-import { Schema, model, models, Model } from 'mongoose';
-import { OutLinkSchema as SchmaType } from '@/types/mongoSchema';
-import { OutLinkTypeEnum } from '@/constants/chat';
-
-const OutLinkSchema = new Schema({
-  shareId: {
-    type: String,
-    required: true
-  },
-  userId: {
-    type: Schema.Types.ObjectId,
-    ref: 'user',
-    required: true
-  },
-  appId: {
-    type: Schema.Types.ObjectId,
-    ref: 'model',
-    required: true
-  },
-  type: {
-    type: String,
-    default: OutLinkTypeEnum.share
-  },
-  name: {
-    type: String,
-    required: true
-  },
-  total: {
-    type: Number,
-    default: 0
-  },
-  lastTime: {
-    type: Date
-  }
-});
-
-export const OutLink: Model<SchmaType> = models['outlinks'] || model('outlinks', OutLinkSchema);
--- a/client/src/service/moduleDispatch/agent/classifyQuestion.ts
+++ b/client/src/service/moduleDispatch/agent/classifyQuestion.ts
@@ -1,107 +0,0 @@
-import { adaptChatItem_openAI } from '@/utils/plugin/openai';
-import { ChatContextFilter } from '@/service/utils/chat/index';
-import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
-import { ChatModuleEnum, ChatRoleEnum, TaskResponseKeyEnum } from '@/constants/chat';
-import { getAIChatApi, axiosConfig } from '@/service/ai/openai';
-import type { ClassifyQuestionAgentItemType } from '@/types/app';
-import { countModelPrice } from '@/service/events/pushBill';
-import { UserModelSchema } from '@/types/mongoSchema';
-import { getModel } from '@/service/utils/data';
-import { SystemInputEnum } from '@/constants/app';
-import { SpecialInputKeyEnum } from '@/constants/flow';
-
-export type CQProps = {
-  systemPrompt?: string;
-  history?: ChatItemType[];
-  [SystemInputEnum.userChatInput]: string;
-  userOpenaiAccount: UserModelSchema['openaiAccount'];
-  [SpecialInputKeyEnum.agents]: ClassifyQuestionAgentItemType[];
-};
-export type CQResponse = {
-  [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType;
-  [key: string]: any;
-};
-
-const agentModel = 'gpt-3.5-turbo';
-const agentFunName = 'agent_user_question';
-const maxTokens = 3000;
-
-/* request openai chat */
-export const dispatchClassifyQuestion = async (props: Record<string, any>): Promise<CQResponse> => {
-  const { agents, systemPrompt, history = [], userChatInput, userOpenaiAccount } = props as CQProps;
-
-  if (!userChatInput) {
-    return Promise.reject('Input is empty');
-  }
-
-  const messages: ChatItemType[] = [
-    ...(systemPrompt
-      ? [
-          {
-            obj: ChatRoleEnum.System,
-            value: systemPrompt
-          }
-        ]
-      : []),
-    ...history,
-    {
-      obj: ChatRoleEnum.Human,
-      value: userChatInput
-    }
-  ];
-  const filterMessages = ChatContextFilter({
-    model: agentModel,
-    prompts: messages,
-    maxTokens
-  });
-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
-
-  //   function body
-  const agentFunction = {
-    name: agentFunName,
-    description: '判断用户问题的类型属于哪方面，返回对应的枚举字段',
-    parameters: {
-      type: 'object',
-      properties: {
-        type: {
-          type: 'string',
-          description: agents.map((item) => `${item.value}，返回：'${item.key}'`).join('；'),
-          enum: agents.map((item) => item.key)
-        }
-      },
-      required: ['type']
-    }
-  };
-  const chatAPI = getAIChatApi(userOpenaiAccount);
-
-  const response = await chatAPI.createChatCompletion(
-    {
-      model: agentModel,
-      temperature: 0,
-      messages: [...adaptMessages],
-      function_call: { name: agentFunName },
-      functions: [agentFunction]
-    },
-    {
-      ...axiosConfig(userOpenaiAccount)
-    }
-  );
-
-  const arg = JSON.parse(response.data.choices?.[0]?.message?.function_call?.arguments || '');
-
-  const tokens = response.data.usage?.total_tokens || 0;
-
-  const result = agents.find((item) => item.key === arg?.type) || agents[0];
-
-  return {
-    [result.key]: 1,
-    [TaskResponseKeyEnum.responseData]: {
-      moduleName: ChatModuleEnum.CQ,
-      price: userOpenaiAccount?.key ? 0 : countModelPrice({ model: agentModel, tokens }),
-      model: getModel(agentModel)?.name || agentModel,
-      tokens,
-      cqList: agents,
-      cqResult: result.value
-    }
-  };
-};
--- a/client/src/service/moduleDispatch/agent/extract.ts
+++ b/client/src/service/moduleDispatch/agent/extract.ts
@@ -1,131 +0,0 @@
-import { adaptChatItem_openAI } from '@/utils/plugin/openai';
-import { ChatContextFilter } from '@/service/utils/chat/index';
-import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
-import { ChatModuleEnum, ChatRoleEnum, TaskResponseKeyEnum } from '@/constants/chat';
-import { getAIChatApi, axiosConfig } from '@/service/ai/openai';
-import type { ContextExtractAgentItemType } from '@/types/app';
-import { ContextExtractEnum } from '@/constants/flow/flowField';
-import { countModelPrice } from '@/service/events/pushBill';
-import { UserModelSchema } from '@/types/mongoSchema';
-import { getModel } from '@/service/utils/data';
-
-export type Props = {
-  userOpenaiAccount: UserModelSchema['openaiAccount'];
-  history?: ChatItemType[];
-  [ContextExtractEnum.content]: string;
-  [ContextExtractEnum.extractKeys]: ContextExtractAgentItemType[];
-  [ContextExtractEnum.description]: string;
-};
-export type Response = {
-  [ContextExtractEnum.success]?: boolean;
-  [ContextExtractEnum.failed]?: boolean;
-  [ContextExtractEnum.fields]: string;
-  [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType;
-};
-
-const agentModel = 'gpt-3.5-turbo';
-const agentFunName = 'agent_extract_data';
-const maxTokens = 4000;
-
-export async function dispatchContentExtract({
-  userOpenaiAccount,
-  content,
-  extractKeys,
-  history = [],
-  description
-}: Props): Promise<Response> {
-  if (!content) {
-    return Promise.reject('Input is empty');
-  }
-  const messages: ChatItemType[] = [
-    ...history,
-    {
-      obj: ChatRoleEnum.Human,
-      value: content
-    }
-  ];
-  const filterMessages = ChatContextFilter({
-    // @ts-ignore
-    model: agentModel,
-    prompts: messages,
-    maxTokens
-  });
-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
-
-  const properties: Record<
-    string,
-    {
-      type: string;
-      description: string;
-    }
-  > = {};
-  extractKeys.forEach((item) => {
-    properties[item.key] = {
-      type: 'string',
-      description: item.desc
-    };
-  });
-
-  // function body
-  const agentFunction = {
-    name: agentFunName,
-    description: `${description}\n如果内容不存在，返回空字符串。`,
-    parameters: {
-      type: 'object',
-      properties,
-      required: extractKeys.filter((item) => item.required).map((item) => item.key)
-    }
-  };
-
-  const chatAPI = getAIChatApi(userOpenaiAccount);
-
-  const response = await chatAPI.createChatCompletion(
-    {
-      model: agentModel,
-      temperature: 0,
-      messages: [...adaptMessages],
-      function_call: { name: agentFunName },
-      functions: [agentFunction]
-    },
-    {
-      ...axiosConfig(userOpenaiAccount)
-    }
-  );
-
-  const arg: Record<string, any> = (() => {
-    try {
-      return JSON.parse(response.data.choices?.[0]?.message?.function_call?.arguments || '{}');
-    } catch (error) {
-      return {};
-    }
-  })();
-
-  // auth fields
-  let success = !extractKeys.find((item) => !arg[item.key]);
-  // auth empty value
-  if (success) {
-    for (const key in arg) {
-      if (arg[key] === '') {
-        success = false;
-        break;
-      }
-    }
-  }
-
-  const tokens = response.data.usage?.total_tokens || 0;
-
-  return {
-    [ContextExtractEnum.success]: success ? true : undefined,
-    [ContextExtractEnum.failed]: success ? undefined : true,
-    [ContextExtractEnum.fields]: JSON.stringify(arg),
-    ...arg,
-    [TaskResponseKeyEnum.responseData]: {
-      moduleName: ChatModuleEnum.Extract,
-      price: userOpenaiAccount?.key ? 0 : countModelPrice({ model: agentModel, tokens }),
-      model: getModel(agentModel)?.name || agentModel,
-      tokens,
-      extractDescription: description,
-      extractResult: arg
-    }
-  };
-}
--- a/client/src/service/moduleDispatch/chat/oneapi.ts
+++ b/client/src/service/moduleDispatch/chat/oneapi.ts
@@ -1,383 +0,0 @@
-import type { NextApiResponse } from 'next';
-import { sseResponse } from '@/service/utils/tools';
-import { OpenAiChatEnum } from '@/constants/model';
-import { adaptChatItem_openAI, countOpenAIToken } from '@/utils/plugin/openai';
-import { modelToolMap } from '@/utils/plugin';
-import { ChatContextFilter } from '@/service/utils/chat/index';
-import type { ChatItemType, QuoteItemType } from '@/types/chat';
-import type { ChatHistoryItemResType } from '@/types/chat';
-import { ChatModuleEnum, ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
-import { SSEParseData, parseStreamChunk } from '@/utils/sse';
-import { textAdaptGptResponse } from '@/utils/adapt';
-import { getAIChatApi, axiosConfig } from '@/service/ai/openai';
-import { TaskResponseKeyEnum } from '@/constants/chat';
-import { getChatModel } from '@/service/utils/data';
-import { countModelPrice } from '@/service/events/pushBill';
-import { ChatModelItemType } from '@/types/model';
-import { UserModelSchema } from '@/types/mongoSchema';
-import { textCensor } from '@/api/service/plugins';
-import { ChatCompletionRequestMessageRoleEnum } from 'openai';
-import { AppModuleItemType } from '@/types/app';
-
-export type ChatProps = {
-  res: NextApiResponse;
-  model: `${OpenAiChatEnum}`;
-  temperature?: number;
-  maxToken?: number;
-  history?: ChatItemType[];
-  userChatInput: string;
-  stream?: boolean;
-  detail?: boolean;
-  quoteQA?: QuoteItemType[];
-  systemPrompt?: string;
-  limitPrompt?: string;
-  userOpenaiAccount: UserModelSchema['openaiAccount'];
-  outputs: AppModuleItemType['outputs'];
-};
-export type ChatResponse = {
-  [TaskResponseKeyEnum.answerText]: string;
-  [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType;
-  finish: boolean;
-};
-
-/* request openai chat */
-export const dispatchChatCompletion = async (props: Record<string, any>): Promise<ChatResponse> => {
-  let {
-    res,
-    model,
-    temperature = 0,
-    maxToken = 4000,
-    stream = false,
-    detail = false,
-    history = [],
-    quoteQA = [],
-    userChatInput,
-    systemPrompt = '',
-    limitPrompt = '',
-    userOpenaiAccount,
-    outputs
-  } = props as ChatProps;
-  if (!userChatInput) {
-    return Promise.reject('Question is empty');
-  }
-
-  // temperature adapt
-  const modelConstantsData = getChatModel(model);
-
-  if (!modelConstantsData) {
-    return Promise.reject('The chat model is undefined, you need to select a chat model.');
-  }
-
-  const { filterQuoteQA, quotePrompt } = filterQuote({
-    quoteQA,
-    model: modelConstantsData
-  });
-
-  if (modelConstantsData.censor) {
-    await textCensor({
-      text: `${systemPrompt}
-      ${quotePrompt}
-      ${limitPrompt}
-      ${userChatInput}
-      `
-    });
-  }
-
-  const { messages, filterMessages } = getChatMessages({
-    model: modelConstantsData,
-    history,
-    quotePrompt,
-    userChatInput,
-    systemPrompt,
-    limitPrompt
-  });
-  const { max_tokens } = getMaxTokens({
-    model: modelConstantsData,
-    maxToken,
-    filterMessages
-  });
-  // console.log(messages);
-
-  // FastGpt temperature range: 1~10
-  temperature = +(modelConstantsData.maxTemperature * (temperature / 10)).toFixed(2);
-  temperature = Math.max(temperature, 0.01);
-  const chatAPI = getAIChatApi(userOpenaiAccount);
-
-  const response = await chatAPI.createChatCompletion(
-    {
-      model,
-      temperature,
-      max_tokens,
-      messages: [
-        ...(modelConstantsData.defaultSystem
-          ? [
-              {
-                role: ChatCompletionRequestMessageRoleEnum.System,
-                content: modelConstantsData.defaultSystem
-              }
-            ]
-          : []),
-        ...messages
-      ],
-      // frequency_penalty: 0.5, // 越大，重复内容越少
-      // presence_penalty: -0.5, // 越大，越容易出现新内容
-      stream
-    },
-    {
-      timeout: stream ? 60000 : 480000,
-      responseType: stream ? 'stream' : 'json',
-      ...axiosConfig(userOpenaiAccount)
-    }
-  );
-
-  const { answerText, totalTokens, completeMessages } = await (async () => {
-    if (stream) {
-      // sse response
-      const { answer } = await streamResponse({
-        res,
-        detail,
-        response
-      });
-      // count tokens
-      const completeMessages = filterMessages.concat({
-        obj: ChatRoleEnum.AI,
-        value: answer
-      });
-
-      const totalTokens = countOpenAIToken({
-        messages: completeMessages
-      });
-
-      targetResponse({ res, detail, outputs });
-
-      return {
-        answerText: answer,
-        totalTokens,
-        completeMessages
-      };
-    } else {
-      const answer = stream ? '' : response.data.choices?.[0].message?.content || '';
-      const totalTokens = stream ? 0 : response.data.usage?.total_tokens || 0;
-
-      const completeMessages = filterMessages.concat({
-        obj: ChatRoleEnum.AI,
-        value: answer
-      });
-
-      return {
-        answerText: answer,
-        totalTokens,
-        completeMessages
-      };
-    }
-  })();
-
-  return {
-    [TaskResponseKeyEnum.answerText]: answerText,
-    [TaskResponseKeyEnum.responseData]: {
-      moduleName: ChatModuleEnum.AIChat,
-      price: userOpenaiAccount?.key ? 0 : countModelPrice({ model, tokens: totalTokens }),
-      model: modelConstantsData.name,
-      tokens: totalTokens,
-      question: userChatInput,
-      answer: answerText,
-      maxToken,
-      quoteList: filterQuoteQA,
-      completeMessages
-    },
-    finish: true
-  };
-};
-
-function filterQuote({
-  quoteQA = [],
-  model
-}: {
-  quoteQA: ChatProps['quoteQA'];
-  model: ChatModelItemType;
-}) {
-  const sliceResult = modelToolMap.tokenSlice({
-    model: model.model,
-    maxToken: model.quoteMaxToken,
-    messages: quoteQA.map((item) => ({
-      obj: ChatRoleEnum.System,
-      value: item.a ? `${item.q}\n${item.a}` : item.q
-    }))
-  });
-
-  // slice filterSearch
-  const filterQuoteQA = quoteQA.slice(0, sliceResult.length);
-
-  const quotePrompt =
-    filterQuoteQA.length > 0
-      ? `"""${filterQuoteQA
-          .map((item) => (item.a ? `${item.q}\n${item.a}` : item.q))
-          .join('\n\n')}"""`
-      : '';
-
-  return {
-    filterQuoteQA,
-    quotePrompt
-  };
-}
-function getChatMessages({
-  quotePrompt,
-  history = [],
-  systemPrompt,
-  limitPrompt,
-  userChatInput,
-  model
-}: {
-  quotePrompt: string;
-  history: ChatProps['history'];
-  systemPrompt: string;
-  limitPrompt: string;
-  userChatInput: string;
-  model: ChatModelItemType;
-}) {
-  const limitText = (() => {
-    if (limitPrompt)
-      return `Use the provided content delimited by triple quotes to answer questions.${limitPrompt}`;
-    if (quotePrompt && !limitPrompt) {
-      return `Use the provided content delimited by triple quotes to answer questions.Your task is to answer the question using only the provided content. If the content does not contain the information needed to answer this question then simply write: "你的问题没有在知识库中体现".`;
-    }
-    return ``;
-  })();
-
-  const messages: ChatItemType[] = [
-    ...(systemPrompt
-      ? [
-          {
-            obj: ChatRoleEnum.System,
-            value: systemPrompt
-          }
-        ]
-      : []),
-    ...(quotePrompt
-      ? [
-          {
-            obj: ChatRoleEnum.System,
-            value: quotePrompt
-          }
-        ]
-      : []),
-    ...(limitText
-      ? [
-          {
-            obj: ChatRoleEnum.System,
-            value: limitText
-          }
-        ]
-      : []),
-    ...history,
-    {
-      obj: ChatRoleEnum.Human,
-      value: userChatInput
-    }
-  ];
-
-  const filterMessages = ChatContextFilter({
-    model: model.model,
-    prompts: messages,
-    maxTokens: Math.ceil(model.contextMaxToken - 300) // filter token. not response maxToken
-  });
-
-  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
-
-  return {
-    messages: adaptMessages,
-    filterMessages
-  };
-}
-function getMaxTokens({
-  maxToken,
-  model,
-  filterMessages = []
-}: {
-  maxToken: number;
-  model: ChatModelItemType;
-  filterMessages: ChatProps['history'];
-}) {
-  const tokensLimit = model.contextMaxToken;
-  /* count response max token */
-
-  const promptsToken = modelToolMap.countTokens({
-    model: model.model,
-    messages: filterMessages
-  });
-  maxToken = maxToken + promptsToken > tokensLimit ? tokensLimit - promptsToken : maxToken;
-
-  return {
-    max_tokens: maxToken
-  };
-}
-
-function targetResponse({
-  res,
-  outputs,
-  detail
-}: {
-  res: NextApiResponse;
-  outputs: AppModuleItemType['outputs'];
-  detail: boolean;
-}) {
-  const targets =
-    outputs.find((output) => output.key === TaskResponseKeyEnum.answerText)?.targets || [];
-
-  if (targets.length === 0) return;
-  sseResponse({
-    res,
-    event: detail ? sseResponseEventEnum.answer : undefined,
-    data: textAdaptGptResponse({
-      text: '\n'
-    })
-  });
-}
-
-async function streamResponse({
-  res,
-  detail,
-  response
-}: {
-  res: NextApiResponse;
-  detail: boolean;
-  response: any;
-}) {
-  let answer = '';
-  let error: any = null;
-  const parseData = new SSEParseData();
-
-  try {
-    for await (const chunk of response.data as any) {
-      if (res.closed) break;
-      const parse = parseStreamChunk(chunk);
-      parse.forEach((item) => {
-        const { data } = parseData.parse(item);
-        if (!data || data === '[DONE]') return;
-
-        const content: string = data?.choices?.[0]?.delta?.content || '';
-        error = data.error;
-        answer += content;
-
-        sseResponse({
-          res,
-          event: detail ? sseResponseEventEnum.answer : undefined,
-          data: textAdaptGptResponse({
-            text: content
-          })
-        });
-      });
-    }
-  } catch (error) {
-    console.log('pipe error', error);
-  }
-
-  if (error) {
-    console.log(error);
-    return Promise.reject(error);
-  }
-
-  return {
-    answer
-  };
-}
--- a/client/src/service/moduleDispatch/init/userChatInput.tsx
+++ b/client/src/service/moduleDispatch/init/userChatInput.tsx
@@ -1,12 +0,0 @@
-import { SystemInputEnum } from '@/constants/app';
-
-export type UserChatInputProps = {
-  [SystemInputEnum.userChatInput]: string;
-};
-
-export const dispatchChatInput = (props: Record<string, any>) => {
-  const { userChatInput } = props as UserChatInputProps;
-  return {
-    userChatInput
-  };
-};
--- a/client/src/service/mongo.ts
+++ b/client/src/service/mongo.ts
@@ -1,163 +0,0 @@
-import mongoose from 'mongoose';
-import tunnel from 'tunnel';
-import { startQueue } from './utils/tools';
-import { getInitConfig } from '@/pages/api/system/getInitData';
-import { User } from './models/user';
-import { PRICE_SCALE } from '@/constants/common';
-import { connectPg, PgClient } from './pg';
-import { createHashPassword } from '@/utils/tools';
-import { PgTrainingTableName } from '@/constants/plugin';
-import { createLogger, format, transports } from 'winston';
-import 'winston-mongodb';
-
-/**
- * connect MongoDB and init data
- */
-export async function connectToDatabase(): Promise<void> {
-  if (global.mongodb) {
-    return;
-  }
-  global.mongodb = 'connecting';
-
-  // init global data
-  global.qaQueueLen = 0;
-  global.vectorQueueLen = 0;
-  global.sendInformQueue = [];
-  global.sendInformQueueLen = 0;
-  // proxy obj
-  if (process.env.AXIOS_PROXY_HOST && process.env.AXIOS_PROXY_PORT) {
-    global.httpsAgent = tunnel.httpsOverHttp({
-      proxy: {
-        host: process.env.AXIOS_PROXY_HOST,
-        port: +process.env.AXIOS_PROXY_PORT
-      }
-    });
-  }
-
-  // logger
-  initLogger();
-
-  // init function
-  getInitConfig();
-
-  try {
-    mongoose.set('strictQuery', true);
-    global.mongodb = await mongoose.connect(process.env.MONGODB_URI as string, {
-      bufferCommands: true,
-      maxConnecting: Number(process.env.DB_MAX_LINK || 5),
-      maxPoolSize: Number(process.env.DB_MAX_LINK || 5),
-      minPoolSize: 2
-    });
-
-    await initRootUser();
-    initPg();
-    console.log('mongo connected');
-  } catch (error) {
-    console.log('error->', 'mongo connect error');
-    global.mongodb = null;
-  }
-
-  // init function
-  startQueue();
-}
-
-function initLogger() {
-  global.logger = createLogger({
-    transports: [
-      new transports.MongoDB({
-        db: process.env.MONGODB_URI as string,
-        collection: 'server_logs',
-        options: {
-          useUnifiedTopology: true
-        },
-        cappedSize: 500000000,
-        tryReconnect: true,
-        metaKey: 'meta',
-        format: format.combine(format.timestamp(), format.json())
-      }),
-      new transports.Console({
-        format: format.combine(
-          format.timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }),
-          format.printf((info) => {
-            if (info.level === 'error') {
-              console.log(info.meta);
-              return `${info.level}: ${[info.timestamp]}: ${info.message}`;
-            }
-            return `${info.level}: ${[info.timestamp]}: ${info.message}${
-              info.meta ? `: ${JSON.stringify(info.meta)}` : ''
-            }`;
-          })
-        )
-      })
-    ]
-  });
-}
-async function initRootUser() {
-  try {
-    const rootUser = await User.findOne({
-      username: 'root'
-    });
-    const psw = process.env.DEFAULT_ROOT_PSW || '123456';
-
-    if (rootUser) {
-      await User.findOneAndUpdate(
-        { username: 'root' },
-        {
-          password: createHashPassword(psw),
-          balance: 999999 * PRICE_SCALE
-        }
-      );
-    } else {
-      await User.create({
-        username: 'root',
-        password: createHashPassword(psw),
-        balance: 999999 * PRICE_SCALE
-      });
-    }
-
-    console.log(`root user init:`, {
-      username: 'root',
-      password: psw
-    });
-  } catch (error) {
-    console.log('init root user error', error);
-  }
-}
-async function initPg() {
-  try {
-    await connectPg();
-    await PgClient.query(`
-      CREATE EXTENSION IF NOT EXISTS vector;
-      CREATE TABLE IF NOT EXISTS ${PgTrainingTableName} (
-          id BIGSERIAL PRIMARY KEY,
-          vector VECTOR(1536) NOT NULL,
-          user_id VARCHAR(50) NOT NULL,
-          kb_id VARCHAR(50) NOT NULL,
-          source VARCHAR(100),
-          q TEXT NOT NULL,
-          a TEXT NOT NULL
-      );
-      CREATE INDEX IF NOT EXISTS modelData_userId_index ON ${PgTrainingTableName} USING HASH (user_id);
-      CREATE INDEX IF NOT EXISTS modelData_kbId_index ON ${PgTrainingTableName} USING HASH (kb_id);
-      CREATE INDEX IF NOT EXISTS idx_model_data_md5_q_a_user_id_kb_id ON ${PgTrainingTableName} (md5(q), md5(a), user_id, kb_id);
-    `);
-    console.log('init pg successful');
-  } catch (error) {
-    console.log('init pg error', error);
-  }
-}
-
-export * from './models/chat';
-export * from './models/chatItem';
-export * from './models/app';
-export * from './models/user';
-export * from './models/bill';
-export * from './models/pay';
-export * from './models/trainingData';
-export * from './models/openapi';
-export * from './models/promotionRecord';
-export * from './models/collection';
-export * from './models/outLink';
-export * from './models/kb';
-export * from './models/inform';
-export * from './models/image';
--- a/client/src/service/plugins/useSearch.ts
+++ b/client/src/service/plugins/useSearch.ts
@@ -1,34 +0,0 @@
-import axios from 'axios';
-
-{
-  /*Bing 搜索*/
-}
-const BingSearch = async (wait_val: string) => {
-  const response = await axios.post('newbing中转服务器', {
-    prompt: wait_val
-  });
-  const result = response.data.result;
-  return result;
-};
-
-{
-  /*google 搜索*/
-}
-const GoogleSearch = async (wait_val: string) => {
-  const response = await axios.get('https://www.googleapis.com/customsearch/v1', {
-    params: {
-      key: process.env.GOOGLE_KEY,
-      q: wait_val,
-      cx: process.env.searchEngineId,
-      start: 1,
-      num: 3,
-      dateRestrict: 'm[1]' //搜索结果限定为一个月内
-    }
-  });
-  const results = response.data.items;
-  if (results !== null) {
-    const result = results.map((item: { snippet: string }) => item.snippet).join('\n');
-    return result;
-  }
-};
-export { BingSearch, GoogleSearch };
--- a/client/src/service/utils/auth.ts
+++ b/client/src/service/utils/auth.ts
@@ -1,228 +0,0 @@
-import type { NextApiRequest } from 'next';
-import Cookie from 'cookie';
-import { App, OpenApi, User, OutLink, KB } from '../mongo';
-import type { AppSchema } from '@/types/mongoSchema';
-import { ERROR_ENUM } from '../errorCode';
-import { authJWT } from './tools';
-
-export enum AuthUserTypeEnum {
-  token = 'token',
-  root = 'root',
-  apikey = 'apikey'
-}
-
-export const authCookieToken = async (cookie?: string, token?: string): Promise<string> => {
-  // 获取 cookie
-  const cookies = Cookie.parse(cookie || '');
-  const cookieToken = cookies.token || token;
-
-  if (!cookieToken) {
-    return Promise.reject(ERROR_ENUM.unAuthorization);
-  }
-
-  return await authJWT(cookieToken);
-};
-
-/* auth balance */
-export const authBalanceByUid = async (uid: string) => {
-  const user = await User.findById(uid);
-  if (!user) {
-    return Promise.reject(ERROR_ENUM.unAuthorization);
-  }
-
-  if (user.balance <= 0) {
-    return Promise.reject(ERROR_ENUM.insufficientQuota);
-  }
-  return user;
-};
-
-/* uniform auth user */
-export const authUser = async ({
-  req,
-  authToken = false,
-  authRoot = false,
-  authBalance = false
-}: {
-  req: NextApiRequest;
-  authToken?: boolean;
-  authRoot?: boolean;
-  authBalance?: boolean;
-}) => {
-  const parseOpenApiKey = async (apiKey?: string) => {
-    if (!apiKey) {
-      return Promise.reject(ERROR_ENUM.unAuthorization);
-    }
-
-    try {
-      const openApi = await OpenApi.findOne({ apiKey });
-      if (!openApi) {
-        return Promise.reject(ERROR_ENUM.unAuthorization);
-      }
-      const userId = String(openApi.userId);
-
-      // 更新使用的时间
-      await OpenApi.findByIdAndUpdate(openApi._id, {
-        lastUsedTime: new Date()
-      });
-
-      return userId;
-    } catch (error) {
-      return Promise.reject(error);
-    }
-  };
-  const parseAuthorization = async (authorization?: string) => {
-    if (!authorization) {
-      return Promise.reject(ERROR_ENUM.unAuthorization);
-    }
-
-    // Bearer fastgpt-xxxx-appId
-    const auth = authorization.split(' ')[1];
-    if (!auth) {
-      return Promise.reject(ERROR_ENUM.unAuthorization);
-    }
-
-    const { apiKey, appId } = await (async () => {
-      const arr = auth.split('-');
-      if (arr.length !== 3) {
-        return Promise.reject(ERROR_ENUM.unAuthorization);
-      }
-      return {
-        apiKey: `${arr[0]}-${arr[1]}`,
-        appId: arr[2]
-      };
-    })();
-
-    // auth apiKey
-    const uid = await parseOpenApiKey(apiKey);
-
-    return {
-      uid,
-      appId
-    };
-  };
-  const parseRootKey = async (rootKey?: string, userId = '') => {
-    if (!rootKey || !process.env.ROOT_KEY || rootKey !== process.env.ROOT_KEY) {
-      return Promise.reject(ERROR_ENUM.unAuthorization);
-    }
-    return userId;
-  };
-
-  const { cookie, token, apikey, rootkey, userid, authorization } = (req.headers || {}) as {
-    cookie?: string;
-    token?: string;
-    apikey?: string;
-    rootkey?: string;
-    userid?: string;
-    authorization?: string;
-  };
-
-  let uid = '';
-  let appId = '';
-  let authType: `${AuthUserTypeEnum}` = AuthUserTypeEnum.token;
-
-  if (authToken) {
-    uid = await authCookieToken(cookie, token);
-    authType = AuthUserTypeEnum.token;
-  } else if (authRoot) {
-    uid = await parseRootKey(rootkey, userid);
-    authType = AuthUserTypeEnum.root;
-  } else if (cookie || token) {
-    uid = await authCookieToken(cookie, token);
-    authType = AuthUserTypeEnum.token;
-  } else if (apikey) {
-    uid = await parseOpenApiKey(apikey);
-    authType = AuthUserTypeEnum.apikey;
-  } else if (authorization) {
-    const authResponse = await parseAuthorization(authorization);
-    uid = authResponse.uid;
-    appId = authResponse.appId;
-    authType = AuthUserTypeEnum.apikey;
-  } else if (rootkey) {
-    uid = await parseRootKey(rootkey, userid);
-    authType = AuthUserTypeEnum.root;
-  } else {
-    return Promise.reject(ERROR_ENUM.unAuthorization);
-  }
-
-  // balance check
-  const user = await (() => {
-    if (authBalance) {
-      return authBalanceByUid(uid);
-    }
-  })();
-
-  return {
-    userId: uid,
-    appId,
-    authType,
-    user
-  };
-};
-
-// 模型使用权校验
-export const authApp = async ({
-  appId,
-  userId,
-  authUser = true,
-  authOwner = true,
-  reserveDetail = false
-}: {
-  appId: string;
-  userId: string;
-  authUser?: boolean;
-  authOwner?: boolean;
-  reserveDetail?: boolean; // focus reserve detail
-}) => {
-  // 获取 app 数据
-  const app = await App.findById<AppSchema>(appId);
-  if (!app) {
-    return Promise.reject('App is not exists');
-  }
-
-  /* 
-    Access verification
-    1. authOwner=true or authUser = true ,  just owner can use
-    2. authUser = false and share, anyone can use
-  */
-  if (authOwner || (authUser && !app.share.isShare)) {
-    if (userId !== String(app.userId)) return Promise.reject(ERROR_ENUM.unAuthModel);
-  }
-
-  return {
-    app,
-    showModelDetail: userId === String(app.userId)
-  };
-};
-
-// 知识库操作权限
-export const authKb = async ({ kbId, userId }: { kbId: string; userId: string }) => {
-  const kb = await KB.findOne({
-    _id: kbId,
-    userId
-  });
-  if (kb) {
-    return kb;
-  }
-  return Promise.reject(ERROR_ENUM.unAuthKb);
-};
-
-export const authShareChat = async ({ shareId }: { shareId: string }) => {
-  // get shareChat
-  const shareChat = await OutLink.findOne({ shareId });
-
-  if (!shareChat) {
-    return Promise.reject('分享链接已失效');
-  }
-
-  const uid = String(shareChat.userId);
-
-  // authBalance
-  const user = await authBalanceByUid(uid);
-
-  return {
-    user,
-    userId: String(shareChat.userId),
-    appId: String(shareChat.appId),
-    authType: AuthUserTypeEnum.token
-  };
-};
--- a/client/src/service/utils/data.ts
+++ b/client/src/service/utils/data.ts
@@ -1,14 +0,0 @@
-export const getChatModel = (model?: string) => {
-  return global.chatModels.find((item) => item.model === model);
-};
-export const getVectorModel = (model?: string) => {
-  return global.vectorModels.find((item) => item.model === model);
-};
-export const getQAModel = (model?: string) => {
-  return global.qaModels.find((item) => item.model === model);
-};
-export const getModel = (model?: string) => {
-  return [...global.chatModels, ...global.vectorModels, ...global.qaModels].find(
-    (item) => item.model === model
-  );
-};
--- a/client/src/service/utils/tools.ts
+++ b/client/src/service/utils/tools.ts
@@ -1,100 +0,0 @@
-import type { NextApiResponse, NextApiHandler, NextApiRequest } from 'next';
-import NextCors from 'nextjs-cors';
-import crypto from 'crypto';
-import jwt from 'jsonwebtoken';
-import { generateQA } from '../events/generateQA';
-import { generateVector } from '../events/generateVector';
-import { ERROR_ENUM } from '../errorCode';
-
-/* 密码加密 */
-export const hashPassword = (psw: string) => {
-  return crypto.createHash('sha256').update(psw).digest('hex');
-};
-
-/* 生成 token */
-export const generateToken = (userId: string) => {
-  const key = process.env.TOKEN_KEY as string;
-  const token = jwt.sign(
-    {
-      userId,
-      exp: Math.floor(Date.now() / 1000) + 60 * 60 * 24 * 7
-    },
-    key
-  );
-  return token;
-};
-// auth token
-export const authJWT = (token: string) =>
-  new Promise<string>((resolve, reject) => {
-    const key = process.env.TOKEN_KEY as string;
-
-    jwt.verify(token, key, function (err, decoded: any) {
-      if (err || !decoded?.userId) {
-        reject(ERROR_ENUM.unAuthorization);
-        return;
-      }
-      resolve(decoded.userId);
-    });
-  });
-/* set cookie */
-export const setCookie = (res: NextApiResponse, token: string) => {
-  res.setHeader(
-    'Set-Cookie',
-    `token=${token}; Path=/; HttpOnly; Max-Age=604800; Samesite=None; Secure;`
-  );
-};
-/* clear cookie */
-export const clearCookie = (res: NextApiResponse) => {
-  res.setHeader('Set-Cookie', 'token=; Path=/; Max-Age=0');
-};
-
-export function withNextCors(handler: NextApiHandler): NextApiHandler {
-  return async function nextApiHandlerWrappedWithNextCors(
-    req: NextApiRequest,
-    res: NextApiResponse
-  ) {
-    const methods = ['GET', 'eHEAD', 'PUT', 'PATCH', 'POST', 'DELETE'];
-    const origin = req.headers.origin;
-    await NextCors(req, res, {
-      methods,
-      origin: origin,
-      optionsSuccessStatus: 200
-    });
-
-    return handler(req, res);
-  };
-}
-
-/* start task */
-export const startQueue = () => {
-  for (let i = 0; i < global.systemEnv.qaMaxProcess; i++) {
-    generateQA();
-  }
-  for (let i = 0; i < global.systemEnv.vectorMaxProcess; i++) {
-    generateVector();
-  }
-};
-
-export const sseResponse = ({
-  res,
-  event,
-  data
-}: {
-  res: NextApiResponse;
-  event?: string;
-  data: string;
-}) => {
-  if (res.closed) return;
-  event && res.write(`event: ${event}\n`);
-  res.write(`data: ${data}\n\n`);
-};
-
-/* add logger */
-export const addLog = {
-  info: (msg: string, obj?: Record<string, any>) => {
-    global.logger.info(msg, { meta: obj });
-  },
-  error: (msg: string, obj?: Record<string, any>) => {
-    global.logger.error(msg, { meta: obj });
-  }
-};
--- a/client/src/store/kb.ts
+++ b/client/src/store/kb.ts
@@ -1,42 +0,0 @@
-import { create } from 'zustand';
-import { devtools, persist } from 'zustand/middleware';
-import { immer } from 'zustand/middleware/immer';
-import { type KbTestItemType } from '@/types/plugin';
-
-type State = {
-  kbTestList: KbTestItemType[];
-  pushKbTestItem: (data: KbTestItemType) => void;
-  delKbTestItemById: (id: string) => void;
-  updateKbItemById: (data: KbTestItemType) => void;
-};
-
-export const useKbStore = create<State>()(
-  devtools(
-    persist(
-      immer((set, get) => ({
-        kbTestList: [],
-        pushKbTestItem(data) {
-          set((state) => {
-            state.kbTestList = [data, ...state.kbTestList].slice(0, 500);
-          });
-        },
-        delKbTestItemById(id) {
-          set((state) => {
-            state.kbTestList = state.kbTestList.filter((item) => item.id !== id);
-          });
-        },
-        updateKbItemById(data: KbTestItemType) {
-          set((state) => {
-            state.kbTestList = state.kbTestList.map((item) => (item.id === data.id ? data : item));
-          });
-        }
-      })),
-      {
-        name: 'kbStore',
-        partialize: (state) => ({
-          kbTestList: state.kbTestList
-        })
-      }
-    )
-  )
-);
--- a/client/src/store/static.ts
+++ b/client/src/store/static.ts
@@ -1,33 +0,0 @@
-import {
-  type QAModelItemType,
-  type ChatModelItemType,
-  type VectorModelItemType
-} from '@/types/model';
-import type { InitDateResponse } from '@/pages/api/system/getInitData';
-import { getInitData } from '@/api/system';
-import { delay } from '@/utils/tools';
-import { FeConfigsType } from '@/types';
-
-export let chatModelList: ChatModelItemType[] = [];
-export let qaModelList: QAModelItemType[] = [];
-export let vectorModelList: VectorModelItemType[] = [];
-export let feConfigs: FeConfigsType = {};
-
-let retryTimes = 3;
-
-export const clientInitData = async (): Promise<InitDateResponse> => {
-  try {
-    const res = await getInitData();
-
-    chatModelList = res.chatModels;
-    qaModelList = res.qaModels;
-    vectorModelList = res.vectorModels;
-    feConfigs = res.feConfigs;
-
-    return res;
-  } catch (error) {
-    retryTimes--;
-    await delay(500);
-    return clientInitData();
-  }
-};
--- a/client/src/types/index.d.ts
+++ b/client/src/types/index.d.ts
@@ -1,63 +0,0 @@
-import type { Mongoose } from 'mongoose';
-import type { Agent } from 'http';
-import type { Pool } from 'pg';
-import type { Tiktoken } from '@dqbd/tiktoken';
-import type { Logger } from 'winston';
-import { ChatModelItemType, QAModelItemType, VectorModelItemType } from './model';
-
-export type PagingData<T> = {
-  pageNum: number;
-  pageSize: number;
-  data: T[];
-  total?: number;
-};
-
-export type RequestPaging = { pageNum: number; pageSize: number; [key]: any };
-
-export type FeConfigsType = {
-  show_emptyChat?: boolean;
-  show_register?: boolean;
-  show_appStore?: boolean;
-  show_userDetail?: boolean;
-  show_git?: boolean;
-  systemTitle?: string;
-  authorText?: string;
-  beianText?: string;
-  googleClientVerKey?: string;
-  gitLoginKey?: string;
-  scripts?: { [key: string]: string }[];
-};
-export type SystemEnvType = {
-  pluginBaseUrl?: string;
-  gitLoginSecret?: string;
-  vectorMaxProcess: number;
-  qaMaxProcess: number;
-  pgIvfflatProbe: number;
-};
-
-declare global {
-  var mongodb: Mongoose | string | null;
-  var pgClient: Pool | null;
-  var httpsAgent: Agent;
-  var qaQueueLen: number;
-  var vectorQueueLen: number;
-  var OpenAiEncMap: Tiktoken;
-
-  var logger: Logger;
-
-  var sendInformQueue: (() => Promise<void>)[];
-  var sendInformQueueLen: number;
-
-  var feConfigs: FeConfigsType;
-  var systemEnv: SystemEnvType;
-  var chatModels: ChatModelItemType[];
-  var qaModels: QAModelItemType[];
-  var vectorModels: VectorModelItemType[];
-
-  interface Window {
-    ['pdfjs-dist/build/pdf']: any;
-    particlesJS: any;
-    grecaptcha: any;
-    QRCode: any;
-  }
-}
--- a/client/src/types/model.d.ts
+++ b/client/src/types/model.d.ts
@@ -1,21 +0,0 @@
-export type ChatModelItemType = {
-  model: string;
-  name: string;
-  contextMaxToken: number;
-  quoteMaxToken: number;
-  maxTemperature: number;
-  price: number;
-  censor?: boolean;
-  defaultSystem?: string;
-};
-export type QAModelItemType = {
-  model: string;
-  name: string;
-  maxToken: number;
-  price: number;
-};
-export type VectorModelItemType = {
-  model: string;
-  name: string;
-  price: number;
-};
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Archer	3b776b6639	v4.5 (#403 )	2023-10-17 10:00:32 +08:00
Archer	dd8f2744bf	Extraction schema (#398 )	2023-10-14 23:02:01 +08:00
左风	7db8d3ea0f	Docs: add quick start and video link (#395 )	2023-10-13 20:16:18 +08:00
Archer	ad7a17bf40	Optimize the project structure and introduce DDD design (#394 )	2023-10-12 17:46:37 +08:00
李启爱	76ac5238b6	Update 447.md (#392 )	2023-10-12 14:56:18 +08:00
Carson Yang	add73aa2c5	Docs: use docsearch (#391 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-12 00:04:45 +08:00
Archer	bcf9491999	v4.4.7-2 (#388 )	2023-10-11 17:18:43 +08:00
Archer	d0041a98b4	Optimize the file storage structure of the knowledge base (#386 )	2023-10-10 22:41:05 +08:00
Carson Yang	29d152784f	Docs: delete image cdn for vercel (#385 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-09 15:03:07 +08:00
Carson Yang	cd7214ba8d	Docs: update workflow for building docs image (#384 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-09 14:32:47 +08:00
Archer	6a84e73a82	fix: packages (#378 )	2023-10-08 09:59:05 +08:00
Archer	98ce5103a0	v4.4.6 (#377 )	2023-10-07 18:02:20 +08:00
Carson Yang	c65a36d3ab	Docs: hide button for questionnaire on mobile device (#376 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-07 14:57:26 +08:00
Carson Yang	b6e49da288	Docs: update button for questionnaire (#375 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-06 23:52:45 +08:00
Archer	45998f9cf5	README (#372 )	2023-10-06 21:19:44 +08:00
Carson Yang	4197f63751	Update README (#371 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-06 14:07:37 +08:00
Carson Yang	ace8134a16	Docs: add Dockerfile for docs (#369 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-06 08:01:16 +08:00
Carson Yang	7f1fecb84e	Docs: update theme (#368 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-10-04 22:25:07 +08:00
Archer	bf172fab81	perf: markdown more wrap (#365 )	2023-10-02 20:19:09 +08:00
Archer	36f5648cae	perf: v4.4.6-1 (#364 )	2023-09-28 17:30:05 +08:00
Archer	ab57bfcc4a	perf: completions api.fix: new chat question guide (#361 )	2023-09-27 12:05:13 +08:00
Archer	11848b8f44	v4.4.5-3 (#357 )	2023-09-26 21:17:13 +08:00
epoh	a11e0bd9c3	Update chatglm2.md (#354 )	2023-09-26 15:06:38 +08:00
Archer	f6552d0d4f	v4.4.5-2 (#355 )	2023-09-26 14:31:37 +08:00
epoh	38d4db5d5f	Rename requirement.txt to requirements.txt (#352 )	2023-09-26 09:38:14 +08:00
Archer	63cd379682	Add share link hook (#351 )	2023-09-25 23:12:42 +08:00
Archer	9136c9306a	Add OpenAPI docs;Correct the glm document (#346 )	2023-09-25 14:28:44 +08:00
Byte Sound	c9db9f33ea	Update intro.md (#348 ) 错别字，市区改为时区	2023-09-25 13:33:30 +08:00
Archer	3d7178d06f	monorepo packages (#344 )	2023-09-24 18:02:09 +08:00
Archer	a4ff5a3f73	perf: api key (#342 )	2023-09-23 20:28:03 +08:00
Archer	814c5b3d3c	Add bill of training and rate of file upload (#339 )	2023-09-21 21:02:44 +08:00
Chen X	e7e0677291	Docs:add-workflow-case-全能助手 (#334 )	2023-09-21 15:57:42 +08:00
Archer	823f4b7ad1	Optimize the structure and naming of projects (#335 )	2023-09-21 14:49:56 +08:00
Carson Yang	a3c77480f7	Add action for translating Non-English issues content to English (#333 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-21 14:19:54 +08:00
Archer	e367265dbb	feat: function call prompt version (#331 )	2023-09-21 12:27:48 +08:00
Archer	7e0deb29e0	Add SSE controller; fix share page login failed (#330 )	2023-09-20 16:34:32 +08:00
Archer	0d94db4331	fix: ts and default dataset (#329 )	2023-09-20 11:43:49 +08:00
Carson Yang	177482b33a	Docs: fix code block highlight (#328 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-20 11:43:35 +08:00
Archer	63b183a9fe	fix: mark modal cannot select folder (#327 )	2023-09-20 11:26:17 +08:00
Carson Yang	858117f8c0	Docs: update font to LXGW WenKai (#325 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-19 21:22:04 +08:00
Archer	ac4355d2e1	Add modal to show completion response data (#324 )	2023-09-19 20:31:45 +08:00
Archer	ce7da2db66	Optimize chat reponse data (#322 )	2023-09-19 16:10:30 +08:00
Archer	0a4a1def1e	fix: connected error (#318 )	2023-09-19 07:54:50 +08:00
Archer	35f4deca76	Revert "Feature: 高级编排自动布局 (#314 )" (#319 ) This reverts commit `ba1451a0e9`.	2023-09-18 23:44:44 +08:00
jaden	ba1451a0e9	Feature: 高级编排自动布局 (#314 ) * feat: adFlow auto layout * chore: delete file and build pnpm lock file	2023-09-18 23:39:19 +08:00
Archer	40d69e6e20	version (#317 )	2023-09-18 21:56:38 +08:00
Sr	b8ba947ba8	feat: Added defaultOpen Attribute for iframe (#302 ) * feat: Added defaultOpen Attribute for iframe This commit introduces a new attribute `defaultOpen` for the iframe created in `iframe.js`. The `defaultOpen` attribute allows the iframe to be visible by default when the page loads. This new feature enhances the user experience by providing an option to display the chatbot window immediately after the page is loaded, without requiring user interaction. * Update iframe.js code standard	2023-09-18 21:27:08 +08:00
Archer	06be57815e	v4.4.3 (#316 )	2023-09-18 21:26:42 +08:00
Carson Yang	81e37a5736	Update architecture diagram (#315 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-18 21:26:15 +08:00
Archer	b8ea546b3f	v4.2.2 (#312 )	2023-09-18 13:37:25 +08:00
Carson Yang	0bb31b985d	Docs: update style (#310 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-17 15:06:25 +08:00
Carson Yang	453824260f	Docs: fix typo (#307 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-15 22:44:04 +08:00
hehan	a8fdffc3e9	Docs: intergate feishu (#305 )	2023-09-15 14:32:43 +08:00
Carson Yang	24164d9454	Update deploy-docs-preview workflow (#304 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-15 13:43:36 +08:00
Archer	4365a94ea9	System optimize (#303 )	2023-09-15 10:21:46 +08:00
Carson Yang	7c1ec04380	Docs: add github badge (#301 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-14 17:36:51 +08:00
Archer	09b6365321	perf: action cache (#300 )	2023-09-13 22:17:55 +08:00
Archer	eb2e383cc7	perf: document icon and language select (#299 )	2023-09-13 19:54:29 +08:00
Archer	ae4c479f37	file name (#297 )	2023-09-13 18:23:55 +08:00
Archer	6a996272da	fix: share link quote (#296 )	2023-09-13 18:15:22 +08:00
Carson Yang	1bf76ebe7a	Docs: add limiting responsibility (#295 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-13 17:00:46 +08:00
Archer	a19afca148	v4.4.1 (#294 ) * move file * perf: dataset file manage * v441 description * fix: qa csv update file * feat: rename file * frontend show system-version	2023-09-13 17:00:17 +08:00
Carson Yang	be3b680bc6	Docs: add community (#293 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-13 13:55:50 +08:00
Carson Yang	31dbcfde9f	Docs: update cdn (#291 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-13 09:29:17 +08:00
Archer	6d438aafdf	google login and power share link (#292 )	2023-09-13 08:49:22 +08:00
Carson Yang	1aaafcf631	Docs: update weight (#290 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-12 22:36:34 +08:00
Carson Yang	7521bce77e	Docs: update cdn (#289 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-12 21:33:12 +08:00
Carson Yang	c8dee29dc4	Docs: add pricing doc (#287 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-12 20:06:09 +08:00
Carson Yang	8f953d1fc4	Update README.md (#283 ) Add demo video Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-12 12:46:29 +08:00
Carson Yang	970b62be25	Docs: enable ‘Edit this page’ (#280 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-11 23:59:14 +08:00
Carson Yang	b2b3aa651d	Docs: add details shortcode (#279 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-11 20:48:14 +08:00
Archer	b0e7d25464	docs weight (#278 )	2023-09-11 18:36:43 +08:00
Archer	b46048609c	feat: move dataset (#277 )	2023-09-11 18:23:51 +08:00
Archer	ae2887e956	fix: file_id undefined bug (#275 )	2023-09-11 10:15:52 +08:00
Archer	7917766024	Dataset folder manager (#274 ) * feat: retry send * perf: qa default value * feat: dataset folder * feat: kb folder delete and path * fix: ts * perf: script load * feat: fileCard and dataCard * feat: search file * feat: max token * feat: select dataset * fix: preview chunk * perf: source update * export data limit file_id * docs * fix: export limit	2023-09-10 16:37:32 +08:00
不做了睡大觉	a1a63260dd	更新镜像通道 (#272 ) * 更新镜像 * 更新镜像信息 * 更新镜像信息	2023-09-08 18:13:37 +08:00
Archer	6f2d556a87	demo (#266 )	2023-09-06 18:56:59 +08:00
Carson Yang	565f9c8113	Docs: fix typo (#265 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-06 14:29:49 +08:00
Carson Yang	975e011e03	Docs: update table style (#264 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-06 13:54:23 +08:00
Carson Yang	19ce6f66ca	Docs: fix typo (#263 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-06 13:39:47 +08:00
cuisongliu	da6e26f95c	build(main): add docs for ci (#261 ) Signed-off-by: cuisongliu <cuisongliu@qq.com>	2023-09-06 12:06:51 +08:00
archer	71abe08f05	fix: onwechat yml	2023-09-06 10:46:55 +08:00
Carson Yang	45ba5e1e01	Docs: optimize codeblock (#259 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-06 09:53:37 +08:00
Carson Yang	139d0be52b	Docs: fix favicon (#258 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-05 21:28:13 +08:00
Carson Yang	1ba3d72a8a	Update docs: change image width (#256 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-09-05 20:51:50 +08:00
archer	cd455b2a79	prompt docs	2023-09-05 20:22:22 +08:00
archer	fa3f3e6264	limit prompt template	2023-09-05 18:29:18 +08:00
archer	9bf5a3ec76	m3e doc	2023-09-05 18:29:15 +08:00
qing hua	95389e31f7	修改了一些错误 (#254 ) * Update sse.ts 解决chatglm2控制台输出一半不输出的问题 * 解决知识库相似度搜索结果超过1 * Update sse.ts --------- Co-authored-by: Archer <545436317@qq.com>	2023-09-05 18:28:59 +08:00
archer	ea65d9b34b	onwechat demo	2023-09-05 14:31:04 +08:00
archer	2dd2976efa	perf: dev doc	2023-09-05 11:47:04 +08:00
archer	64fde42c87	perf: default lang	2023-09-05 11:44:31 +08:00
archer	7a926b7086	user timezone	2023-09-05 11:30:52 +08:00
archer	562fd2692d	issue template	2023-09-04 23:44:08 +08:00
archer	935287a95a	doc favicon	2023-09-04 19:45:24 +08:00
archer	bd419a22f4	adapt echarts	2023-09-04 19:25:28 +08:00
不做了睡大觉	32f482b232	增加对echarts图表的支持 (#249 ) * 增加对echarts图表的支持 * 增加对echarts的支持	2023-09-04 18:17:39 +08:00
archer	5d596bd3d5	favicon html	2023-09-04 18:16:29 +08:00
archer	ae88d79d6f	update bash	2023-09-04 18:03:20 +08:00
archer	1207e3e566	update bash	2023-09-04 17:51:56 +08:00
archer	3449024678	feat: labBot demo	2023-09-04 17:02:21 +08:00
archer	8dba2c39e1	fix: empty kb	2023-09-04 15:47:01 +08:00
archer	94c53804ce	fix: quick question and variable	2023-09-04 14:45:01 +08:00
archer	a1bcd798e1	image name	2023-09-04 14:31:03 +08:00
archer	6d51b3babe	README	2023-09-04 11:37:46 +08:00
archer	a5fe671ffe	perf: timeout	2023-09-04 11:32:49 +08:00
archer	44e772f0fd	feat: file relate kb	2023-09-04 10:51:57 +08:00
archer	a3c6d6800b	fix: file id	2023-09-03 22:59:11 +08:00
archer	19b1ff5a8d	version docs	2023-09-03 22:52:17 +08:00
archer	8d55587cf4	version docs	2023-09-03 22:43:24 +08:00
archer	a754ceaf3b	dataset save raw file	2023-09-03 22:39:09 +08:00
archer	086ea83fac	docs	2023-09-03 19:06:12 +08:00
archer	1ace8fb9a3	error track	2023-09-03 18:26:36 +08:00
archer	e0b23a26f2	feat: error track, app scroll	2023-09-03 17:43:15 +08:00
archer	7c16d08ec0	feat: crud file	2023-09-03 17:43:14 +08:00
archer	5157e62fed	feat: gridfs save file	2023-09-03 17:43:13 +08:00
archer	1fe2c49204	fastgpt char	2023-09-02 00:28:08 +08:00
archer	b9b50a0f5a	README	2023-09-01 23:57:58 +08:00
archer	23cc2f81e9	perf: code	2023-09-01 11:47:06 +08:00
archer	68cdf50cb6	perf: config home page	2023-09-01 10:22:31 +08:00
archer	2ae8d43216	fix: reg failed	2023-08-31 20:06:49 +08:00
archer	0ea464f30f	docs	2023-08-31 19:04:56 +08:00
archer	7cb035ba24	docs	2023-08-31 18:54:41 +08:00
archer	7231a847f7	fix: variable	2023-08-31 18:46:48 +08:00
archer	4f0f950dd4	docs	2023-08-31 18:43:10 +08:00
archer	c1f4785392	docs	2023-08-31 18:16:24 +08:00
archer	b22c878cf9	fix: variable input and update chat time	2023-08-31 18:09:33 +08:00
archer	3420f677b6	env template	2023-08-31 18:09:32 +08:00
不做了睡大觉	baee8cfe82	私有化模型对接oneapi教程+镜像更新 (#237 ) * chatglm2-m3e对接教程 * chatglm2docker部署+对接Oneapi * Update m3e.md	2023-08-31 17:58:48 +08:00
archer	0b0570fa54	perf: mark icon show	2023-08-30 14:31:46 +08:00
gaord	299409aa7b	add python requirement.txt for running GLM2 model (#226 ) Signed-off-by: Ben Gao <bengao168@msn.com>	2023-08-30 08:18:03 +08:00
archer	5284312eb3	chat default model	2023-08-29 18:22:45 +08:00
archer	86a0e7ce23	perf: guide modules	2023-08-29 17:59:24 +08:00
archer	e0de04dddb	perf: open push data api	2023-08-29 11:07:25 +08:00
archer	19d7edb585	readme	2023-08-28 22:09:42 +08:00
archer	fbb75c97d0	docs	2023-08-28 21:59:25 +08:00
archer	7e9cac3478	feat: config login tip	2023-08-28 21:43:15 +08:00
archer	be937956af	perf: config home title	2023-08-28 21:36:37 +08:00
archer	c5c3826714	perf: vector over range error	2023-08-28 15:51:28 +08:00
archer	42fec3a95c	perf: git login	2023-08-28 15:30:18 +08:00
archer	64b9367ca1	perf: quote output prompt	2023-08-28 13:47:33 +08:00
Archer	5fcdf28c5c	user feedback and admin mark (#228 ) * fix: csv empty data * feat: user feedback and mark answer * version intro * perf: chat logs sort	2023-08-27 23:12:06 +08:00
archer	2556c19a9a	issue template	2023-08-27 01:18:33 +08:00
Archer	8fd21ad5a7	Update issue templates	2023-08-27 01:13:13 +08:00
archer	efebcd6f1b	docs images	2023-08-27 00:27:48 +08:00
Carson Yang	05e681f98f	Fix favicon (#225 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-08-27 00:26:51 +08:00
archer	17c59bedfe	README	2023-08-27 00:26:14 +08:00
archer	92ebd6a0b9	doc: m3e model	2023-08-26 22:31:21 +08:00
archer	0d26b1d48e	fix: file sprcial char	2023-08-26 21:36:48 +08:00
archer	4973d7ad9c	fix: default vector	2023-08-26 19:40:18 +08:00
archer	defc73651b	glm2 docs	2023-08-26 19:24:14 +08:00
archer	eefc976d42	perf: qa prompt	2023-08-26 19:21:15 +08:00
archer	be33794a5f	feat: self vector search	2023-08-26 18:25:12 +08:00
archer	13439c5183	perf: read file token error	2023-08-26 17:17:19 +08:00
archer	93030afe3e	fix: limit prompt	2023-08-26 11:56:26 +08:00
archer	dfc40db835	prompt	2023-08-26 10:52:55 +08:00
MaricoHan	7f48acc42e	修正单词拼写 (#223 )	2023-08-26 09:36:18 +08:00
archer	5661b11aee	docs	2023-08-25 16:34:49 +08:00
archer	4b088e84c7	fix: ts	2023-08-25 15:45:24 +08:00
archer	6d93059e25	feat: config vector model and qa model	2023-08-25 15:00:51 +08:00
archer	a9970dd694	logo	2023-08-25 10:15:09 +08:00
Carson Yang	81421bccef	Fix CI workflow (#220 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-08-25 10:06:20 +08:00
Carson Yang	f4ae980a75	Update favicon (#219 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-08-25 09:41:12 +08:00