v4.2.2 (#312)

Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>

.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**

.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

.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**

.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}}

.github/imgs/logo.svg

@@ -0,0 +1,14 @@
+<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
+<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
+<defs>
+<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+</defs>
+</svg>

.github/workflows/admin-image.yml

@@ -1,79 +0,0 @@
-name: Build fastgpt-admin images and copy image to docker hub
-on:
-  workflow_dispatch:
-  push:
-    paths:
-      - 'admin/**'
-    branches:
-      - 'main'
-    tags:
-      - 'v*.*.*'
-jobs:
-  build-admin-images:
-    runs-on: ubuntu-20.04
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 1
-      - name: Install Dependencies
-        run: |
-          sudo apt update && sudo apt install -y nodejs npm
-      - 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: 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-admin:latest" >> $GITHUB_ENV
-          else
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-admin:${{ 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 admin && \
-          docker buildx build \
-          --platform linux/amd64,linux/arm64 \
-          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=fastgpt-admin image" \
-          --label "org.opencontainers.image.licenses=MIT" \
-          --push \
-          -t ${DOCKER_REPO_TAGGED} \
-          -f Dockerfile \
-          .
-  push-to-docker-hub:
-    needs: build-admin-images
-    runs-on: ubuntu-20.04
-    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-admin:${{env.IMAGE_TAG}}
-      - name: Tag image with Docker Hub repository name and version tag
-        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt-admin:${{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}}

.github/workflows/deploy-docs.yml

@@ -0,0 +1,72 @@
+name: deploy-docs
+
+on:
+  workflow_dispatch:
+  push:
+    paths:
+      - 'docSite/**'
+    branches:
+      - 'main'
+    tags:
+      - 'v*.*.*'
+
+# A workflow run is made up of one or more jobs that can run sequentially or in parallel
+jobs:
+  # This workflow contains jobs "deploy-production"
+  deploy-production:
+    # The environment this job references
+    environment:
+      name: Production
+      url: ${{ steps.vercel-action.outputs.preview-url }}
+
+    # The type of runner that the job will run on
+    runs-on: ubuntu-22.04
+
+    # Job outputs
+    outputs:
+      docs: ${{ steps.filter.outputs.docs }}
+
+    # Steps represent a sequence of tasks that will be executed as part of the job
+    steps:
+      # Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          submodules: recursive # Fetch submodules
+          fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
+
+      # Step 2 Detect changes to Docs Content
+      - name: Detect changes in doc content
+        uses: dorny/paths-filter@v2
+        id: filter
+        with:
+          filters: |
+            docs:
+              - 'docSite/content/docs/**'
+          base: main
+
+      # Step 3 - Install Hugo (specific version)
+      - name: Install Hugo
+        uses: peaceiris/actions-hugo@v2
+        with:
+          hugo-version: '0.117.0'
+          extended: true
+
+      # Step 4 - Builds the site using Hugo
+      - name: Build
+        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
+        env:
+          HUGO_BASEURL: ${{ vars.BASE_URL }}
+
+      # Step 5 - Push our generated site to Vercel
+      - name: Deploy to Vercel
+        uses: amondnet/vercel-action@v25
+        id: vercel-action
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
+          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
+          github-comment: false
+          vercel-args: '--prod --local-config ../vercel.json' # Optional
+          working-directory: docSite/public
+

.github/workflows/deploy-preview.yml

@@ -0,0 +1,96 @@
+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
+        env:
+          HUGO_BASEURL: ${{ vars.BASE_URL }}
+
+      # Step 5 - Push our generated site to Vercel
+      - name: Deploy to Vercel
+        uses: amondnet/vercel-action@v25
+        id: vercel-action
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
+          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
+          github-comment: false
+          vercel-args: '--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"

.github/workflows/fastgpt-image.yml

@@ -25,6 +25,13 @@ 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: |
+            ${{ runner.os }}-buildx-
       - name: Login to GitHub Container Registry
         uses: docker/login-action@v2
         with:
@@ -38,7 +45,6 @@ jobs:
           else
             echo "DOCKER_REPO_TAGGED=ghcr.io/${{ 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 }}
@@ -50,6 +56,8 @@ jobs:
           --label "org.opencontainers.image.description=fastgpt image" \
           --label "org.opencontainers.image.licenses=MIT" \
           --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
           -f Dockerfile \
           .
@@ -77,3 +85,28 @@ jobs:
         run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
       - name: Push image to Docker Hub
         run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+  push-to-ali-hub:
+    needs: build-fastgpt-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Ali Hub
+        uses: docker/login-action@v2
+        with:
+          registry: registry.cn-hangzhou.aliyuncs.com
+          username: ${{ secrets.ALI_HUB_USERNAME }}
+          password: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
+          else
+            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Pull image from GitHub Container Registry
+        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}

.gitignore

@@ -29,4 +29,8 @@ next-env.d.ts
 platform.json
 testApi/
 local/
-dist/
+dist/
+
+# hugo
+**/.hugo_build.lock
+docSite/public/

.prettierignore

@@ -1,4 +1,5 @@
 dist
 .vscode
 **/.DS_Store
-node_modules
+node_modules
+docSite/

LICENSE

@@ -1,201 +1,35 @@
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
+# FastGPT Open Source License
 
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+The FastGPT is licensed under the Apache License 2.0, with the following additional conditions:
 
-   1. Definitions.
+1. FastGPT is permitted to be used for commercialization. You can use FastGPT as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
 
-      "License" shall mean the terms and conditions for use, reproduction,
-      and distribution as defined by Sections 1 through 9 of this document.
+a. Multi-tenant SaaS service: Unless explicitly authorized by FastGPT in writing, you may not use the FastGPT.AI source code to operate a multi-tenant SaaS service that is similar to the FastGPT.
+b. LOGO and copyright information: In the process of using FastGPT, you may not remove or moFastGPT the LOGO or copyright information in the FastGPT console.
 
-      "Licensor" shall mean the copyright owner or entity authorized by
-      the copyright owner that is granting the License.
+Please contact yujinlong@sealos.io by email to inquire about licensing matters.
 
-      "Legal Entity" shall mean the union of the acting entity and all
-      other entities that control, are controlled by, or are under common
-      control with that entity. For the purposes of this definition,
-      "control" means (i) the power, direct or indirect, to cause the
-      direction or management of such entity, whether by contract or
-      otherwise, or (ii) ownership of fifty percent (50%) or more of the
-      outstanding shares, or (iii) beneficial ownership of such entity.
+2. As a contributor, you should agree that your contributed code:
 
-      "You" (or "Your") shall mean an individual or Legal Entity
-      exercising permissions granted by this License.
+a. The producer can adjust the open-source agreement to be more strict or relaxed.
+b. Can be used for commercial purposes, such as FastGPT's cloud business.
 
-      "Source" form shall mean the preferred form for making modifications,
-      including but not limited to software source code, documentation
-      source, and configuration files.
+Apart from this, all other rights and restrictions follow the Apache License 2.0. If you need more detailed information, you can refer to the full version of Apache License 2.0.
 
-      "Object" form shall mean any form resulting from mechanical
-      transformation or translation of a Source form, including but
-      not limited to compiled object code, generated documentation,
-      and conversions to other media types.
+The interactive design of this product is protected by appearance patent.
 
-      "Work" shall mean the work of authorship, whether in Source or
-      Object form, made available under the License, as indicated by a
-      copyright notice that is included in or attached to the work
-      (an example is provided in the Appendix below).
+© 2023 Sealos.
 
-      "Derivative Works" shall mean any work, whether in Source or Object
-      form, that is based on (or derived from) the Work and for which the
-      editorial revisions, annotations, elaborations, or other modifications
-      represent, as a whole, an original work of authorship. For the purposes
-      of this License, Derivative Works shall not include works that remain
-      separable from, or merely link (or bind by name) to the interfaces of,
-      the Work and Derivative Works thereof.
+---
 
-      "Contribution" shall mean any work of authorship, including
-      the original version of the Work and any modifications or additions
-      to that Work or Derivative Works thereof, that is intentionally
-      submitted to Licensor for inclusion in the Work by the copyright owner
-      or by an individual or Legal Entity authorized to submit on behalf of
-      the copyright owner. For the purposes of this definition, "submitted"
-      means any form of electronic, verbal, or written communication sent
-      to the Licensor or its representatives, including but not limited to
-      communication on electronic mailing lists, source code control systems,
-      and issue tracking systems that are managed by, or on behalf of, the
-      Licensor for the purpose of discussing and improving the Work, but
-      excluding communication that is conspicuously marked or otherwise
-      designated in writing by the copyright owner as "Not a Contribution."
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-      "Contributor" shall mean Licensor and any individual or Legal Entity
-      on behalf of whom a Contribution has been received by Licensor and
-      subsequently incorporated within the Work.
+    http://www.apache.org/licenses/LICENSE-2.0
 
-   2. Grant of Copyright License. Subject to the terms and conditions of
-      this License, each Contributor hereby grants to You a perpetual,
-      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
-      copyright license to reproduce, prepare Derivative Works of,
-      publicly display, publicly perform, sublicense, and distribute the
-      Work and such Derivative Works in Source or Object form.
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-   3. Grant of Patent License. Subject to the terms and conditions of
-      this License, each Contributor hereby grants to You a perpetual,
-      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
-      (except as stated in this section) patent license to make, have made,
-      use, offer to sell, sell, import, and otherwise transfer the Work,
-      where such license applies only to those patent claims licensable
-      by such Contributor that are necessarily infringed by their
-      Contribution(s) alone or by combination of their Contribution(s)
-      with the Work to which such Contribution(s) was submitted. If You
-      institute patent litigation against any entity (including a
-      cross-claim or counterclaim in a lawsuit) alleging that the Work
-      or a Contribution incorporated within the Work constitutes direct
-      or contributory patent infringement, then any patent licenses
-      granted to You under this License for that Work shall terminate
-      as of the date such litigation is filed.
-
-   4. Redistribution. You may reproduce and distribute copies of the
-      Work or Derivative Works thereof in any medium, with or without
-      modifications, and in Source or Object form, provided that You
-      meet the following conditions:
-
-      (a) You must give any other recipients of the Work or
-          Derivative Works a copy of this License; and
-
-      (b) You must cause any modified files to carry prominent notices
-          stating that You changed the files; and
-
-      (c) You must retain, in the Source form of any Derivative Works
-          that You distribute, all copyright, patent, trademark, and
-          attribution notices from the Source form of the Work,
-          excluding those notices that do not pertain to any part of
-          the Derivative Works; and
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-      (d) If the Work includes a "NOTICE" text file as part of its
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README.md

@@ -1,57 +1,121 @@
-# Fast GPT
+<div align="center">
 
-Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口，目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。并且 OpenAPI Chat 接口兼容 OpenAI 接口，意味着你只需修改 BaseUrl 和 Authorization 即可在已有项目基础上接入 FastGpt！
+<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
+
+# FastGPT
+
+FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！
+
+</div>
+
+<p align="center">
+  <a href="https://fastgpt.run/">线上体验</a>
+  ·
+  <a href="https://doc.fastgpt.run/docs/intro">相关文档</a>
+  ·
+  <a href="https://doc.fastgpt.run/docs/development">本地开发</a>
+  ·
+  <a href="https://github.com/labring/FastGPT#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">相关项目</a>
+</p>
+
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
 
 ## 🛸 在线体验
 
-🎉 [fastgpt.run](https://fastgpt.run/)
-🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
+[fastgpt.run](https://fastgpt.run/)（服务器在新加坡，部分地区可能无法直连）
 
-![Demo](.github/imgs/demo.png?raw=true 'demo')
+|                                    |                                    |
+| ---------------------------------- | ---------------------------------- |
+| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
+| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
 
-#### 知识库原理图
+## 💡 功能
 
-![KBProcess](.github/imgs/KBProcess.jpg?raw=true 'KBProcess')
+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, 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
+   - [ ] 嵌入 Laf，实现在线编写 HTTP 模块
+   - [ ] 连续对话引导
+   - [ ] 对话多路线选择
+   - [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 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
+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
+   - [x] 统一查阅对话记录，并对数据进行标注
 
 ## 👨‍💻 开发
 
-项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）  
-这是一个平台项目，非单机项目，除了模型调用外还涉及非常多用户的内容。  
-[本地开发 Quick Start](docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/quick-start/dev.md)
+项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）
 
-## 🚀 私有化部署
+- **⚡ 快速部署**
 
-- [官方推荐 Sealos 部署](https://sealos.io/docs/examples/ai-applications/install-fastgpt-on-desktop) 无需服务器，代理和域名，高可用。
-- [docker-compose 部署](docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/deploy/docker.md) 单机版。
-- [由社区贡献的宝塔部署和本地运行教程](https://www.bilibili.com/video/BV1tV4y1y7Mj/?vd_source=92041a1a395f852f9d89158eaa3f61b4) 单机版。
+  > Sealos 的服务器在国外，不需要额外处理网络问题，无需服务器、无需魔法、无需域名，支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
 
-## :point_right: RoadMap
+  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
 
-- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
+  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。
 
-## 🏘️ 交流群
+* [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/development/configuration/)
+* [多模型配置](https://doc.fastgpt.run/docs/installation/one-api/)
+* [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)
 
-添加 wx 进入：  
-![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
+## 🏘️ 社区交流群
 
-## Powered by
+添加 wx 小助手加入：
 
-- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
-- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
-- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
-- [One API: 令牌管理 & 二次分发，支持 Azure](https://github.com/songquanpeng/one-api)
+![](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
 
 ## 👀 其他
 
-- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [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/)
+- [FastGPT 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
 
-## 第三方生态
+## 💪 相关项目
 
+- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
+- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
+- [One API: 多模型管理，支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
+- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
+
+## 🤝 第三方生态
+
+- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.run/docs/use-cases/onwechat/)
 - [luolinAI: 企微机器人，开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
 
 ## 🌟 Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
+
+## 使用协议
+
+本仓库遵循 [FastGPT Open Source License](./LICENSE) 开源协议。
+
+1. 允许作为后台服务直接商用，但不允许直接使用 saas 服务商用。
+2. 需保留相关版权信息。
+3. 完整请查看 [FastGPT Open Source License](./LICENSE)
+4. 联系方式：yujinlong@sealos.io, [点击查看定价策略](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

README_en.md

@@ -0,0 +1,115 @@
+<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 built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!
+
+</div>
+
+<p align="center">
+<a href="https://fastgpt.run/">Online</a>
+·
+<a href="https://doc.fastgpt.run/docs/intro">Document</a>
+·
+<a href="https://doc.fastgpt.run/docs/development">Development</a>
+·
+<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
+·
+<a href="#powered-by">Power By</a>
+</p>
+
+## 🛸 Online
+
+[fastgpt.run](https://fastgpt.run/)
+| | |
+| ---------------------------------- | ---------------------------------- |
+| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
+| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
+
+## 💡 Features
+
+1. Powerful visual orchestration for easy AI application building
+
+   - [x] Provides a simple mode without the need for orchestration operations
+   - [x] User dialogue pre-guidance
+   - [x] Global variables
+   - [x] Knowledge base search
+   - [x] Multi-LLM model dialogue
+   - [x] Extraction of text content into structured data
+   - [x] HTTP extension
+   - [ ] Sandbox JS runtime module
+   - [ ] Continuous dialogue guidance
+   - [ ] Dialogue multi-path selection
+   - [ ] Source file reference tracking
+
+2. Rich knowledge base preprocessing
+
+   - [x] Multiple library reuse and mixing
+   - [x] Chunk record modification and deletion
+   - [x] Supports direct segment import
+   - [x] Supports QA split import
+   - [x] Supports manual input content
+   - [ ] Supports URL import reading
+   - [x] Supports batch import of Q&A pairs in CSV format
+   - [ ] Supports separate vector model settings for knowledge bases
+   - [ ] Source file storage
+
+3. Multiple effect testing channels
+
+   - [x] Knowledge base single point search testing
+   - [x] Feedback references and ability to modify and delete during dialogue
+   - [x] Complete context presentation
+   - [ ] Complete module intermediate value presentation
+
+4. OpenAPI
+
+   - [x] completions interface (aligned with GPT interface)
+   - [ ] Knowledge base CRUD
+
+5. Operational functions
+
+   - [x] Login-free sharing window
+   - [x] One-click embedding with Iframe
+   - [ ] Unified access to dialogue records
+
+## 👨‍💻 Development
+
+Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
+
+- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
+- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
+- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
+- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
+- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
+
+<!-- ## :point_right: RoadMap
+- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
+
+<!-- ## 🏘️ Community
+
+| Community Group                                   | Assistant                                      |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) | -->
+
+## 👀 Others
+
+- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
+- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
+- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
+
+## 💪 Related Projects
+
+- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
+- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
+- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
+- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)
+
+## 🤝 Third-party Ecosystem
+
+- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+
+## 🌟 Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)

admin/.dockerignore

@@ -1,11 +0,0 @@
-Dockerfile
-.dockerignore
-node_modules
-npm-debug.log
-README.md
-.git
-
-.yalc/
-yalc.lock
-testApi/
-node_modules

admin/.env.template

@@ -1,8 +0,0 @@
-MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
-MONGODB_NAME=fastgpt
-ADMIN_USER=username
-ADMIN_PASS=password
-ADMIN_SECRET=any
-PARENT_URL=http://localhost:3000 # FastGpt服务的地址
-PARENT_ROOT_KEY=rootkey # FastGpt 的rootkey
-VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致

admin/.gitignore

@@ -1 +0,0 @@
-node_modules/

admin/Dockerfile

@@ -1,48 +0,0 @@
-# Install dependencies only when needed
-FROM node:current-alpine AS builder
-RUN npm config set registry https://registry.npmmirror.com/
-RUN apk add --no-cache libc6-compat && npm install -g pnpm
-RUN pnpm config set registry https://registry.npmmirror.com/
-
-WORKDIR /app
-ENV NEXT_TELEMETRY_DISABLED 1
-ENV VITE_PUBLIC_SERVER_URL ''
-# Install dependencies based on the preferred package manager
-COPY . .
-RUN \
-  [ -f pnpm-lock.yaml ] && pnpm install || \
-  (echo "Lockfile not found." && exit 1)
-
-RUN pnpm build
-
-# Production image, copy all the files and run next
-FROM node:current-alpine AS runner
-WORKDIR /app
-
-ENV NODE_ENV production
-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
-
-COPY package.json pnpm-lock.yaml* ./
-COPY --from=builder /app/server.js ./server.js
-COPY --from=builder /app/service ./service
-COPY --from=builder /app/dist ./dist
-
-RUN npm config set registry https://registry.npmmirror.com/
-RUN npm install -g pnpm
-RUN pnpm config set registry https://registry.npmmirror.com/
-RUN pnpm install --prod
-RUN npm remove -g pnpm
-
-ENV PORT=3001
-
-EXPOSE 3001
-
-CMD ["node", "server.js"]

admin/LICENSE

@@ -1,201 +0,0 @@
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
-
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
-
-   1. Definitions.
-
-      "License" shall mean the terms and conditions for use, reproduction,
-      and distribution as defined by Sections 1 through 9 of this document.
-
-      "Licensor" shall mean the copyright owner or entity authorized by
-      the copyright owner that is granting the License.
-
-      "Legal Entity" shall mean the union of the acting entity and all
-      other entities that control, are controlled by, or are under common
-      control with that entity. For the purposes of this definition,
-      "control" means (i) the power, direct or indirect, to cause the
-      direction or management of such entity, whether by contract or
-      otherwise, or (ii) ownership of fifty percent (50%) or more of the
-      outstanding shares, or (iii) beneficial ownership of such entity.
-
-      "You" (or "Your") shall mean an individual or Legal Entity
-      exercising permissions granted by this License.
-
-      "Source" form shall mean the preferred form for making modifications,
-      including but not limited to software source code, documentation
-      source, and configuration files.
-
-      "Object" form shall mean any form resulting from mechanical
-      transformation or translation of a Source form, including but
-      not limited to compiled object code, generated documentation,
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-
-      "Work" shall mean the work of authorship, whether in Source or
-      Object form, made available under the License, as indicated by a
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-      (an example is provided in the Appendix below).
-
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-      form, that is based on (or derived from) the Work and for which the
-      editorial revisions, annotations, elaborations, or other modifications
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-      of this License, Derivative Works shall not include works that remain
-      separable from, or merely link (or bind by name) to the interfaces of,
-      the Work and Derivative Works thereof.
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admin/README.md

@@ -1,43 +0,0 @@
-# FastGpt Admin
-
-## 项目原理
-
-使用 [Tushan](https://tushan.msgbyte.com/) 项目做前端，然后构造了一个与 mongodb 做沟通的 API 做后端，可以做到创建、修改和删除用户
-
-## 开发
-
-1. `cp .env.template .env.local`: 复制 .env.template 文件，添加环境变量
-2. `pnpm i`
-3. `pnpm dev`
-4. 打开 `http://localhost:5173/` 访问前端页面
-
-## 部署
-
-1. 本地打包
-
-`docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest . --network host  --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890`
-
-2. 直接拉镜像: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
-3. 部署时候填写环境变量: 数据库同 FastGpt 一致
-
-```
-MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
-MONGODB_NAME=fastgpt
-ADMIN_USER=username
-ADMIN_PASS=password
-ADMIN_SECRET=any
-PARENT_URL=http://localhost:3000
-PARENT_ROOT_KEY=rootkey
-```
-
-## sealos 部署
-
-1. 进入 sealos 官网: https://cloud.sealos.io/
-2. 打开 App Launchpad(应用管理) 工具
-3. 新建应用
-   1. 镜像名: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
-   2. 容器端口: 3001
-   3. 环境变量: 参考上面
-   4. 打开外网访问开关
-4. 点击部署。 完成后大约等待 1 分钟，
-5. 点击 sealos 提供的外网访问地址，可以直接访问。

admin/index.html

@@ -1,13 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/logo.svg" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Fast GPT</title>
-  </head>
-  <body>
-    <div id="root"></div>
-    <script type="module" src="/src/main.tsx"></script>
-  </body>
-</html>

admin/package.json

@@ -1,42 +0,0 @@
-{
-  "name": "kbgpt-deafult",
-  "private": true,
-  "version": "0.0.0",
-  "type": "module",
-  "author": "anonymous",
-  "scripts": {
-    "dev": "concurrently \"vite\" \"npm run start:api\"",
-    "build": "tsc && vite build",
-    "preview": "vite preview",
-    "start:api": "nodemon server.js"
-  },
-  "dependencies": {
-    "@arco-design/web-react": "^2.49.1",
-    "concurrently": "^8.1.0",
-    "cors": "^2.8.5",
-    "crypto": "^1.0.1",
-    "dayjs": "^1.11.8",
-    "dotenv": "^16.1.4",
-    "express": "^4.18.2",
-    "jsonwebtoken": "^9.0.0",
-    "mongoose": "^7.2.2",
-    "nodemon": "^2.0.22",
-    "react": "^18.2.0",
-    "react-admin": "^4.11.0",
-    "react-dom": "^18.2.0",
-    "react-i18next": "^12.3.1",
-    "tushan": "^0.3.1"
-  },
-  "devDependencies": {
-    "@types/jsonexport": "^3.0.2",
-    "@types/lodash-es": "^4.17.7",
-    "@types/node": "^20.2.5",
-    "@types/react": "^18.0.28",
-    "@types/react-dom": "^18.0.11",
-    "@types/react-helmet": "^6.1.6",
-    "@types/styled-components": "^5.1.26",
-    "@vitejs/plugin-react": "^3.1.0",
-    "typescript": "^4.9.2",
-    "vite": "^4.2.1"
-  }
-}

admin/public/logo.svg

@@ -1,10 +0,0 @@
-<svg width="512" height="512" viewBox="0 0 512 512" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M28 88L49.5 57L118.5 29.5L248 51L323.5 122.5L360.5 324L301 421.5L164.5 412.5L118.5 324L127.5 225.5L143.5 184.5L151.5 130.5L127.5 95L82.5 80L49.5 95L28 88Z" fill="#DFDFDF"/>
-<path d="M144.734 22.04C139.186 22.0047 133.638 22.1568 128.1 22.496C84.33 25.196 40.5 49 24.238 67.492C7.97598 85.984 4 91.601 4 91.601C4 91.601 34.922 98.392 57 97.5C79.078 96.608 111.355 88.82 127.692 104.564C144.032 120.309 151.428 146.017 135.232 175.709C116.062 210.852 102.516 271.862 115.086 332.235C127.656 392.609 168.054 451.995 254.814 478.007C288.29 488.043 333.639 494.757 376.459 485.673C420.966 476.885 472.309 450.915 483.351 422.563C474.101 431.448 463.911 437.703 453.149 442.353C471.455 421.433 484.884 392.621 489.939 354.179L492.469 334.939L476.147 345.435C465.644 352.19 455.562 358.838 446.054 363.831C448.692 357.959 451.092 350.611 453.784 341.054C442.687 356.244 430.054 366.409 415.186 372.526C405.952 372.023 396.833 367.659 385.976 356.429C374.618 344.682 367.856 324.334 363.513 298.763C359.169 273.191 357.053 242.836 352.845 211.886C344.425 149.984 326.933 84.013 263.105 50.851C226.15 31.651 184.013 22.274 144.733 22.038L144.734 22.04ZM144.611 40.05C181.073 40.305 220.721 49.115 254.808 66.824C311.201 96.124 326.802 153.964 335.011 214.312C339.115 244.487 341.197 274.866 345.769 301.777C347.085 309.53 348.604 317.019 350.462 324.162C335.014 324.202 323.208 315.855 308.758 299.445C316.143 329.855 320.748 335.979 334.463 354.995C306.243 346.76 273.823 320.255 253.513 290.932C250.239 330.979 273.736 362.506 286.788 374.862C261.612 360.666 226.075 333.326 202.165 286.207C201.149 327.633 214.095 373.939 238.615 402.672C204.1 391.136 173.645 303.2 153.195 275.039C140.155 308.256 150.247 364.124 169.267 405.161C149.639 382.323 138.38 355.786 132.712 328.565C121.188 273.223 134.462 214.718 151.037 184.327C170.587 148.485 161.952 112.577 140.187 91.601C118.419 70.625 66 81 53.633 83.286C41.266 85.572 31 83.286 31 83.286C31 83.286 41.3371 75.1684 48 70C74.6656 49.3155 88.786 42.954 129.211 40.461C134.263 40.149 139.406 40.011 144.614 40.047L144.611 40.05Z" fill="url(#paint0_linear_1104_3)"/>
-<defs>
-<linearGradient id="paint0_linear_1104_3" x1="384.5" y1="480" x2="256" y2="256" gradientUnits="userSpaceOnUse">
-<stop stop-color="#FF6011"/>
-<stop offset="1" stop-color="#FF9411"/>
-</linearGradient>
-</defs>
-</svg>

admin/server.js

@@ -1,37 +0,0 @@
-import express from 'express';
-import cors from 'cors';
-import { useUserRoute } from './service/route/user.js';
-import { useAppRoute } from './service/route/app.js';
-import { useKbRoute } from './service/route/kb.js';
-import { useSystemRoute } from './service/route/system.js';
-
-const app = express();
-app.use(cors());
-app.use(express.json());
-app.use(express.static('dist'));
-
-useUserRoute(app);
-useAppRoute(app);
-useKbRoute(app);
-useSystemRoute(app);
-
-app.get('/*', (req, res) => {
-  try {
-    res.sendFile(new URL('dist/index.html', import.meta.url).pathname);
-  } catch (error) {
-    res.end();
-  }
-});
-
-app.use((err, req, res, next) => {
-  try {
-    res.sendFile(new URL('dist/index.html', import.meta.url).pathname);
-  } catch (error) {
-    res.end();
-  }
-});
-
-const PORT = process.env.PORT || 3001;
-app.listen(PORT, () => {
-  console.log(`Server is running on port ${PORT}`);
-});

admin/service/route/app.js

@@ -1,86 +0,0 @@
-import { App, Kb } from '../schema.js';
-import { auth } from './system.js';
-
-export const useAppRoute = (app) => {
-  // 获取AI助手列表
-  app.get('/apps', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort;
-      const name = req.query.name || '';
-      const id = req.query.id || '';
-
-      const where = {
-        ...(name && { name: { $regex: name, $options: 'i' } }),
-        ...(id && { _id: id })
-      };
-
-      const modelsRaw = await App.find(where)
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order, 'share.isShare': -1, 'share.collection': -1 });
-
-      const models = [];
-
-      for (const modelRaw of modelsRaw) {
-        const app = modelRaw.toObject();
-
-        // 获取与模型关联的知识库名称
-        const kbNames = [];
-        for (const kbId of app.chat.relatedKbs) {
-          const kb = await Kb.findById(kbId);
-          kbNames.push(kb.name);
-        }
-
-        const orderedModel = {
-          id: app._id.toString(),
-          userId: app.userId,
-          name: app.name,
-          intro: app.intro,
-          relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
-          systemPrompt: app.chat?.systemPrompt || '',
-          temperature: app.chat?.temperature || 0,
-          'share.topNum': app.share?.topNum || 0,
-          'share.isShare': app.share?.isShare || false,
-          'share.collection': app.share?.collection || 0
-        };
-
-        models.push(orderedModel);
-      }
-      const totalCount = await App.countDocuments(where);
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(models);
-    } catch (err) {
-      console.log(`Error fetching models: ${err}`);
-      res.status(500).json({ error: 'Error fetching models', details: err.message });
-    }
-  });
-
-  // 修改 app 信息
-  app.put('/apps/:id', auth(), async (req, res) => {
-    try {
-      const _id = req.params.id;
-
-      let {
-        share: { isShare, topNum },
-        intro
-      } = req.body;
-
-      await App.findByIdAndUpdate(_id, {
-        $set: {
-          intro: intro,
-          'share.topNum': Number(topNum),
-          'share.isShare': isShare === 'true' || isShare === true
-        }
-      });
-
-      res.json({});
-    } catch (err) {
-      console.log(`Error updating user: ${err}`);
-      res.status(500).json({ error: 'Error updating user' });
-    }
-  });
-};

admin/service/route/kb.js

@@ -1,57 +0,0 @@
-import { Kb } from '../schema.js';
-import { auth } from './system.js';
-
-export const useKbRoute = (app) => {
-  // 获取用户知识库列表
-  app.get('/kbs', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || '_id';
-      const tag = req.query.tag || '';
-      const name = req.query.name || '';
-
-      const where = {
-        ...(name
-          ? {
-              name: { $regex: name, $options: 'i' }
-            }
-          : {}),
-        ...(tag
-          ? {
-              tags: { $elemMatch: { $regex: tag, $options: 'i' } }
-            }
-          : {})
-      };
-
-      const kbsRaw = await Kb.find(where)
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const kbs = [];
-
-      for (const kbRaw of kbsRaw) {
-        const kb = kbRaw.toObject();
-
-        const orderedKb = {
-          id: kb._id.toString(),
-          userId: kb.userId,
-          name: kb.name,
-          tags: kb.tags,
-          avatar: kb.avatar
-        };
-
-        kbs.push(orderedKb);
-      }
-      const totalCount = await Kb.countDocuments(where);
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(kbs);
-    } catch (err) {
-      console.log(`Error fetching kbs: ${err}`);
-      res.status(500).json({ error: 'Error fetching kbs', details: err.message });
-    }
-  });
-};

admin/service/route/system.js

@@ -1,76 +0,0 @@
-import jwt from 'jsonwebtoken';
-import { System } from '../schema.js';
-
-const adminAuth = {
-  username: process.env.ADMIN_USER,
-  password: process.env.ADMIN_PASS
-};
-const authSecret = process.env.ADMIN_SECRET;
-
-const postParent = () => {
-  fetch(`${process.env.PARENT_URL}/api/system/updateEnv`, {
-    headers: {
-      rootkey: process.env.PARENT_ROOT_KEY
-    }
-  });
-};
-
-export const useSystemRoute = (app) => {
-  app.post('/api/login', (req, res) => {
-    if (!adminAuth.username || !adminAuth.password) {
-      res.status(401).end('Server not set env: ADMIN_USER, ADMIN_PASS');
-      return;
-    }
-
-    const { username, password } = req.body;
-
-    if (username === adminAuth.username && password === adminAuth.password) {
-      // 用户名和密码都正确，返回token
-      const token = jwt.sign(
-        {
-          username,
-          platform: 'admin'
-        },
-        authSecret,
-        {
-          expiresIn: '2h'
-        }
-      );
-
-      res.json({
-        username,
-        token: token,
-        expiredAt: new Date().valueOf() + 2 * 60 * 60 * 1000
-      });
-    } else {
-      res.status(401).end('username or password incorrect');
-    }
-  });
-};
-
-export const auth = () => {
-  return (req, res, next) => {
-    try {
-      const authorization = req.headers.authorization;
-      if (!authorization) {
-        return next(new Error('unAuthorization'));
-      }
-
-      const token = authorization.slice('Bearer '.length);
-
-      const payload = jwt.verify(token, authSecret);
-      if (typeof payload === 'string') {
-        res.status(401).end('payload type error');
-        return;
-      }
-      if (payload.platform !== 'admin') {
-        res.status(401).end('Payload invalid');
-        return;
-      }
-
-      next();
-    } catch (err) {
-      res.status(401).end(String(err));
-    }
-  };
-};

admin/service/route/user.js

@@ -1,242 +0,0 @@
-import { User, Pay } from '../schema.js';
-import dayjs from 'dayjs';
-import { auth } from './system.js';
-import crypto from 'crypto';
-export const PRICE_SCALE = 100000;
-
-export const formatPrice = (val = 0, multiple = 1) => {
-  return Number(((val / PRICE_SCALE) * multiple).toFixed(10));
-};
-
-// 加密
-const hashPassword = (psw) => {
-  return crypto.createHash('sha256').update(psw).digest('hex');
-};
-
-const day = 60;
-
-export const useUserRoute = (app) => {
-  // 统计近 30 天注册用户数量
-  app.get('/users/data', auth(), async (req, res) => {
-    try {
-      let startCount = await User.countDocuments({
-        createTime: { $lt: new Date(Date.now() - day * 24 * 60 * 60 * 1000) }
-      });
-      const usersRaw = await User.aggregate([
-        { $match: { createTime: { $gte: new Date(Date.now() - day * 24 * 60 * 60 * 1000) } } },
-        {
-          $group: {
-            _id: {
-              year: { $year: '$createTime' },
-              month: { $month: '$createTime' },
-              day: { $dayOfMonth: '$createTime' }
-            },
-            count: { $sum: 1 }
-          }
-        },
-        {
-          $project: {
-            _id: 0,
-            date: { $dateFromParts: { year: '$_id.year', month: '$_id.month', day: '$_id.day' } },
-            count: 1
-          }
-        },
-        { $sort: { date: 1 } }
-      ]);
-
-      const countResult = usersRaw.map((item) => {
-        const increaseRate = `${((item.count / startCount) * 100).toFixed(2)}%`;
-        startCount += item.count;
-        return {
-          date: item.date,
-          count: startCount,
-          increase: item.count,
-          increaseRate
-        };
-      });
-
-      res.json(countResult);
-    } catch (err) {
-      console.log(`Error fetching users: ${err}`);
-      res.status(500).json({ error: 'Error fetching users' });
-    }
-  });
-  // 获取用户列表
-  app.get('/users', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || 'createTime';
-      const username = req.query.username || '';
-      const where = {
-        username: { $regex: username, $options: 'i' }
-      };
-
-      const usersRaw = await User.find(where)
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const users = usersRaw.map((user) => {
-        const obj = user.toObject();
-        return {
-          ...obj,
-          id: obj._id,
-          balance: formatPrice(obj.balance),
-          createTime: dayjs(obj.createTime).format('YYYY/MM/DD HH:mm'),
-          password: ''
-        };
-      });
-
-      const totalCount = await User.countDocuments(where);
-
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(users);
-    } catch (err) {
-      console.log(`Error fetching users: ${err}`);
-      res.status(500).json({ error: 'Error fetching users' });
-    }
-  });
-  // 创建用户
-  app.post('/users', auth(), async (req, res) => {
-    try {
-      const { username, password, balance } = req.body;
-      if (!username || !password || !balance) {
-        return res.status(400).json({ error: 'Invalid user information' });
-      }
-      const existingUser = await User.findOne({ username });
-      if (existingUser) {
-        return res.status(400).json({ error: 'Username already exists' });
-      }
-
-      const result = await User.create({
-        username,
-        password: hashPassword(hashPassword(password)),
-        balance: balance * PRICE_SCALE
-      });
-      res.json(result);
-    } catch (err) {
-      console.log(`Error creating user: ${err}`);
-      res.status(500).json({ error: 'Error creating user' });
-    }
-  });
-  // 修改用户信息
-  app.put('/users/:id', auth(), async (req, res) => {
-    try {
-      const _id = req.params.id;
-
-      let { username, password, balance = 0 } = req.body;
-
-      const result = await User.findByIdAndUpdate(_id, {
-        ...(username && { username }),
-        ...(password && { password: hashPassword(hashPassword(password)) }),
-        ...(balance && { balance: balance * PRICE_SCALE })
-      });
-      res.json(result);
-    } catch (err) {
-      console.log(`Error updating user: ${err}`);
-      res.status(500).json({ error: 'Error updating user' });
-    }
-  });
-
-  // 新增: 获取 pays 列表
-  app.get('/pays', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || '_id';
-      const userId = req.query.userId || '';
-      const where = userId ? { userId: userId } : {};
-
-      const paysRaw = await Pay.find({
-        ...where
-      })
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const pays = [];
-
-      for (const payRaw of paysRaw) {
-        const pay = payRaw.toObject();
-
-        const orderedPay = {
-          id: pay._id.toString(),
-          userId: pay.userId,
-          price: pay.price,
-          orderId: pay.orderId,
-          status: pay.status,
-          createTime: dayjs(pay.createTime).format('YYYY/MM/DD HH:mm')
-        };
-
-        pays.push(orderedPay);
-      }
-      const totalCount = await Pay.countDocuments({
-        ...where
-      });
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(pays);
-    } catch (err) {
-      console.log(`Error fetching pays: ${err}`);
-      res.status(500).json({ error: 'Error fetching pays', details: err.message });
-    }
-  });
-  // 获取本月账单
-  app.get('/pays/data', auth(), async (req, res) => {
-    try {
-      let startCount = 0;
-
-      const paysRaw = await Pay.aggregate([
-        {
-          $match: {
-            status: 'SUCCESS',
-            createTime: {
-              $gte: new Date(Date.now() - day * 24 * 60 * 60 * 1000 + 8 * 60 * 60 * 1000) // 补时差
-            }
-          }
-        },
-        {
-          $addFields: {
-            adjustedCreateTime: { $add: ['$createTime', 8 * 60 * 60 * 1000] }
-          }
-        },
-        {
-          $group: {
-            _id: {
-              year: { $year: '$adjustedCreateTime' },
-              month: { $month: '$adjustedCreateTime' },
-              day: { $dayOfMonth: '$adjustedCreateTime' }
-            },
-            count: { $sum: '$price' }
-          }
-        },
-        {
-          $project: {
-            _id: 0,
-            date: { $dateFromParts: { year: '$_id.year', month: '$_id.month', day: '$_id.day' } },
-            count: 1
-          }
-        },
-        { $sort: { date: 1 } }
-      ]);
-
-      const countResult = paysRaw.map((item) => {
-        startCount += item.count;
-        return {
-          date: item.date,
-          total: startCount,
-          count: item.count
-        };
-      });
-
-      res.json(countResult);
-    } catch (err) {
-      console.log(`Error fetching users: ${err}`);
-      res.status(500).json({ error: 'Error fetching users' });
-    }
-  });
-};

admin/service/schema.js

@@ -1,121 +0,0 @@
-import mongoose from 'mongoose';
-import dotenv from 'dotenv';
-
-dotenv.config({ path: '.env.local' });
-
-const mongoUrl = process.env.MONGODB_URI;
-const mongoDBName = process.env.MONGODB_NAME;
-
-if (!mongoUrl || !mongoDBName) {
-  throw new Error('db error');
-}
-
-mongoose
-  .connect(mongoUrl, {
-    dbName: mongoDBName,
-    bufferCommands: true,
-    maxPoolSize: 5,
-    minPoolSize: 1,
-    maxConnecting: 5
-  })
-  .then(() => console.log('Connected to MongoDB successfully!'))
-  .catch((err) => console.log(`Error connecting to MongoDB: ${err}`));
-
-const UserSchema = new mongoose.Schema({
-  username: {
-    type: String,
-    required: true,
-    unique: true
-  },
-  password: {
-    type: String,
-    required: true,
-    select: false
-  },
-  createTime: {
-    type: Date,
-    default: () => new Date()
-  },
-  avatar: {
-    type: String,
-    default: '/icon/human.png'
-  },
-  balance: {
-    type: Number,
-    default: 0
-  },
-  limit: {
-    exportKbTime: {
-      // Every half hour
-      type: Date
-    }
-  }
-});
-
-// 新增: 定义 pays 模型
-const paySchema = new mongoose.Schema({
-  userId: mongoose.Schema.Types.ObjectId,
-  price: Number,
-  orderId: String,
-  status: String,
-  createTime: Date,
-  __v: Number
-});
-
-// 新增: 定义 kb 模型
-const kbSchema = new mongoose.Schema({
-  userId: mongoose.Schema.Types.ObjectId,
-  avatar: String,
-  name: String,
-  tags: [String],
-  updateTime: Date,
-  __v: Number
-});
-
-const appSchema = new mongoose.Schema({
-  userId: mongoose.Schema.Types.ObjectId,
-  name: String,
-  avatar: String,
-  status: String,
-  intro: String,
-  share: {
-    topNum: Number,
-    isShare: Boolean,
-    isShareDetail: Boolean,
-    intro: String,
-    collection: Number
-  },
-  security: {
-    domain: [String],
-    contextMaxLen: Number,
-    contentMaxLen: Number,
-    expiredTime: Number,
-    maxLoadAmount: Number
-  },
-  updateTime: Date
-});
-
-const SystemSchema = new mongoose.Schema({
-  vectorMaxProcess: {
-    type: Number,
-    default: 10
-  },
-  qaMaxProcess: {
-    type: Number,
-    default: 10
-  },
-  pgIvfflatProbe: {
-    type: Number,
-    default: 10
-  },
-  sensitiveCheck: {
-    type: Boolean,
-    default: false
-  }
-});
-
-export const App = mongoose.models['model'] || mongoose.model('model', appSchema);
-export const Kb = mongoose.models['kb'] || mongoose.model('kb', kbSchema);
-export const User = mongoose.models['user'] || mongoose.model('user', UserSchema);
-export const Pay = mongoose.models['pay'] || mongoose.model('pay', paySchema);
-export const System = mongoose.models['system'] || mongoose.model('system', SystemSchema);

admin/src/App.tsx

@@ -1,129 +0,0 @@
-import {
-  createTextField,
-  jsonServerProvider,
-  ListTable,
-  Resource,
-  Tushan,
-  fetchJSON,
-  TushanContextProps,
-  HTTPClient
-} from 'tushan';
-import { authProvider } from './auth';
-import { userFields, payFields, kbFields, AppFields } from './fields';
-import { Dashboard } from './Dashboard';
-import { IconUser, IconApps, IconBook, IconStamp } from 'tushan/icon';
-import { i18nZhTranslation } from 'tushan/client/i18n/resources/zh';
-
-const authStorageKey = 'tushan:auth';
-
-const httpClient: HTTPClient = (url, options = {}) => {
-  try {
-    if (!options.headers) {
-      options.headers = new Headers({ Accept: 'application/json' });
-    }
-    const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
-    (options.headers as Headers).set('Authorization', `Bearer ${token}`);
-
-    return fetchJSON(url, options);
-  } catch (err) {
-    return Promise.reject();
-  }
-};
-
-const dataProvider = jsonServerProvider(import.meta.env.VITE_PUBLIC_SERVER_URL, httpClient);
-
-const i18n: TushanContextProps['i18n'] = {
-  languages: [
-    {
-      key: 'zh',
-      label: '简体中文',
-      translation: i18nZhTranslation
-    }
-  ]
-};
-
-function App() {
-  return (
-    <Tushan
-      basename="/"
-      header={'FastGpt-Admin'}
-      i18n={i18n}
-      dataProvider={dataProvider}
-      authProvider={authProvider}
-      dashboard={<Dashboard />}
-    >
-      <Resource
-        name="users"
-        label="用户信息"
-        icon={<IconUser />}
-        list={
-          <ListTable
-            filter={[
-              createTextField('username', {
-                label: 'username'
-              })
-            ]}
-            fields={userFields}
-            action={{ create: true, detail: true, edit: true }}
-          />
-        }
-      />
-      <Resource
-        name="apps"
-        icon={<IconApps />}
-        label="应用"
-        list={
-          <ListTable
-            filter={[
-              createTextField('id', {
-                label: 'id'
-              }),
-              createTextField('name', {
-                label: 'name'
-              })
-            ]}
-            fields={AppFields}
-            action={{ detail: true, edit: true }}
-          />
-        }
-      />
-      <Resource
-        name="pays"
-        label="支付记录"
-        icon={<IconStamp />}
-        list={
-          <ListTable
-            filter={[
-              createTextField('userId', {
-                label: 'userId'
-              })
-            ]}
-            fields={payFields}
-            action={{ detail: true }}
-          />
-        }
-      />
-      <Resource
-        name="kbs"
-        label="知识库"
-        icon={<IconBook />}
-        list={
-          <ListTable
-            filter={[
-              createTextField('name', {
-                label: 'name'
-              }),
-              createTextField('tag', {
-                label: 'tag'
-              })
-            ]}
-            fields={kbFields}
-            action={{ detail: true }}
-          />
-        }
-      />
-    </Tushan>
-  );
-}
-
-export default App;

admin/src/Dashboard.tsx

@@ -1,273 +0,0 @@
-import { Card, Link, Space, Grid, Divider, Typography } from '@arco-design/web-react';
-import { IconApps, IconUser, IconUserGroup } from 'tushan/icon';
-import React, { useState, useEffect } from 'react';
-import { useTranslation } from 'react-i18next';
-import {
-  XAxis,
-  YAxis,
-  CartesianGrid,
-  Tooltip,
-  ResponsiveContainer,
-  AreaChart,
-  Area
-} from 'tushan/chart';
-import dayjs from 'dayjs';
-
-const authStorageKey = 'tushan:auth';
-const PRICE_SCALE = 100000;
-
-type fetchChatData = {
-  count: number;
-  total?: number;
-  date: string;
-  increase?: number;
-  increaseRate?: string;
-};
-
-type chatDataType = {
-  date: string;
-  userCount: number;
-  userIncrease?: number;
-  userIncreaseRate?: string;
-  payTotal: number;
-  payCount: number;
-};
-
-export const Dashboard: React.FC = React.memo(() => {
-  const [userCount, setUserCount] = useState(0); //用户数量
-  const [kbCount, setkbCount] = useState(0);
-  const [modelCount, setmodelCount] = useState(0);
-
-  const [chatData, setChatData] = useState<chatDataType[]>([]);
-
-  useEffect(() => {
-    const baseUrl = import.meta.env.VITE_PUBLIC_SERVER_URL;
-    const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
-    const headers = {
-      'Content-Type': 'application/json',
-      Authorization: `Bearer ${token}`
-    };
-
-    const fetchCounts = async () => {
-      const userResponse = await fetch(`${baseUrl}/users?_end=1`, {
-        headers
-      });
-      const kbResponse = await fetch(`${baseUrl}/kbs?_end=1`, {
-        headers
-      });
-      const modelResponse = await fetch(`${baseUrl}/models?_end=1`, {
-        headers
-      });
-
-      const userTotalCount = userResponse.headers.get('X-Total-Count');
-      const kbTotalCount = kbResponse.headers.get('X-Total-Count');
-      const modelTotalCount = modelResponse.headers.get('X-Total-Count');
-
-      if (userTotalCount) {
-        setUserCount(Number(userTotalCount));
-      }
-      if (kbTotalCount) {
-        setkbCount(Number(kbTotalCount));
-      }
-      if (modelTotalCount) {
-        setmodelCount(Number(modelTotalCount));
-      }
-    };
-
-    const fetchChatData = async () => {
-      const [userResponse, payResponse]: fetchChatData[][] = await Promise.all([
-        fetch(`${baseUrl}/users/data`, {
-          headers
-        }).then((res) => res.json()),
-        fetch(`${baseUrl}/pays/data`, {
-          headers
-        }).then((res) => res.json())
-      ]);
-
-      const data = userResponse.map((item, i) => {
-        const pay = payResponse.find((pay) => item.date === pay.date);
-        return {
-          date: dayjs(item.date).format('MM/DD'),
-          userCount: item.count,
-          userIncrease: item.increase,
-          userIncreaseRate: item.increaseRate,
-          payCount: pay ? pay.count / PRICE_SCALE : 0,
-          payTotal: pay?.total ? pay.total / PRICE_SCALE : 0
-        };
-      });
-      setChatData(data);
-    };
-
-    fetchCounts();
-    fetchChatData();
-  }, []);
-
-  return (
-    <div>
-      <div>
-        <Space direction="vertical" style={{ width: '100%' }}>
-          <Card bordered={false}>
-            <Typography.Title heading={5}>FastGpt Admin</Typography.Title>
-
-            <Divider />
-
-            <Grid.Row justify="center">
-              <Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
-                {/* 把 userCount 传递给 DataItem 组件 */}
-                <DataItem icon={<IconUser />} title={'用户'} count={userCount} />
-              </Grid.Col>
-
-              <Divider type="vertical" style={{ height: 40 }} />
-
-              <Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
-                <DataItem icon={<IconUserGroup />} title={'知识库'} count={kbCount} />
-              </Grid.Col>
-
-              <Divider type="vertical" style={{ height: 40 }} />
-
-              <Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
-                <DataItem icon={<IconApps />} title={'应用'} count={modelCount} />
-              </Grid.Col>
-            </Grid.Row>
-
-            <Divider />
-
-            <div>
-              <strong>用户数量 & 支付情况</strong>
-              <UserChart data={chatData} />
-            </div>
-
-            <Divider />
-          </Card>
-        </Space>
-      </div>
-    </div>
-  );
-});
-Dashboard.displayName = 'Dashboard';
-
-const DashboardItem = React.memo(
-  (props: { title: string; href?: string; children: React.ReactNode }) => {
-    const { t } = useTranslation();
-
-    return (
-      <Card
-        title={props.title}
-        extra={
-          props.href && (
-            <Link target="_blank" href={props.href}>
-              {t('tushan.dashboard.more')}
-            </Link>
-          )
-        }
-        bordered={false}
-        style={{ overflow: 'hidden' }}
-      >
-        {props.children}
-      </Card>
-    );
-  }
-);
-DashboardItem.displayName = 'DashboardItem';
-
-const DataItem = React.memo((props: { icon: React.ReactElement; title: string; count: number }) => {
-  return (
-    <Space>
-      <div
-        style={{
-          fontSize: 20,
-          padding: '0.5rem',
-          borderRadius: '9999px',
-          border: '1px solid #ccc',
-          width: 24,
-          height: 24,
-          display: 'flex',
-          justifyContent: 'center',
-          alignItems: 'center'
-        }}
-      >
-        {props.icon}
-      </div>
-      <div>
-        <div style={{ fontWeight: 700 }}>{props.title}</div>
-        <div>{props.count}</div>
-      </div>
-    </Space>
-  );
-});
-DataItem.displayName = 'DataItem';
-
-const CustomTooltip = ({ active, payload }: any) => {
-  const data = payload?.[0]?.payload as chatDataType;
-  if (active && data) {
-    return (
-      <div
-        style={{
-          background: 'white',
-          padding: '5px 8px',
-          borderRadius: '8px',
-          boxShadow: '2px 2px 5px rgba(0,0,0,0.2)'
-        }}
-      >
-        <p className="label">
-          日期: <strong>{data.date}</strong>
-        </p>
-        <p className="label">
-          用户总数: <strong>{data.userCount}</strong>
-        </p>
-        <p className="label">
-          用户今日增长数量: <strong>{data.userIncrease}</strong>
-        </p>
-        <p className="label">
-          今日支付: <strong>{data.payCount}</strong>元
-        </p>
-        <p className="label">
-          60天累计支付: <strong>{data.payTotal}</strong>元
-        </p>
-      </div>
-    );
-  }
-  return null;
-};
-
-const UserChart = ({ data }: { data: chatDataType[] }) => {
-  return (
-    <ResponsiveContainer width="100%" height={320}>
-      <AreaChart
-        width={730}
-        height={250}
-        data={data}
-        margin={{ top: 10, right: 30, left: 0, bottom: 0 }}
-      >
-        <defs>
-          <linearGradient id="userCount" x1="0" y1="0" x2="0" y2="1">
-            <stop offset="5%" stopColor="#82ca9d" stopOpacity={0.8} />
-            <stop offset="95%" stopColor="#82ca9d" stopOpacity={0} />
-          </linearGradient>
-          <linearGradient id="payTotal" x1="0" y1="0" x2="0" y2="1">
-            <stop offset="5%" stopColor="#8884d8" stopOpacity={0.8} />
-            <stop offset="95%" stopColor="#8884d8" stopOpacity={0} />
-          </linearGradient>
-        </defs>
-        <XAxis dataKey="date" />
-        <YAxis />
-        <CartesianGrid strokeDasharray="3 3" />
-        <Tooltip content={<CustomTooltip />} />
-        <Area
-          type="monotone"
-          dataKey="userCount"
-          stroke="#82ca9d"
-          fillOpacity={1}
-          fill="url(#userCount)"
-        />
-        <Area
-          type="monotone"
-          dataKey="payTotal"
-          stroke="#8884d8"
-          fillOpacity={1}
-          fill="url(#payTotal)"
-        />
-      </AreaChart>
-    </ResponsiveContainer>
-  );
-};

admin/src/auth.ts

@@ -1,5 +0,0 @@
-import { createAuthProvider, type AuthProvider } from 'tushan';
-
-export const authProvider: AuthProvider = createAuthProvider({
-  loginUrl: `${import.meta.env.VITE_PUBLIC_SERVER_URL}/api/login`
-});

admin/src/fields.ts

@@ -1,49 +0,0 @@
-import { createTextField, createNumberField } from 'tushan';
-
-export const userFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('username', { label: '用户名' }),
-  createNumberField('balance', { label: '余额（元）', list: { sort: true } }),
-  createTextField('createTime', {
-    label: '创建时间',
-    list: { sort: true },
-    edit: { hidden: true }
-  }),
-  createTextField('password', { label: '密码', list: { hidden: true } })
-];
-
-export const payFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '用户Id' }),
-  createNumberField('price', { label: '支付金额' }),
-  createTextField('orderId', { label: 'orderId' }),
-  createTextField('status', { label: '状态' }),
-  createTextField('createTime', { label: '创建时间', list: { sort: true } })
-];
-
-export const kbFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '所属用户', edit: { hidden: true } }),
-  createTextField('name', { label: '知识库' }),
-  createTextField('tags', { label: 'Tags' })
-];
-
-export const AppFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '所属用户', list: { hidden: true }, edit: { hidden: true } }),
-  createTextField('name', { label: '名字' }),
-  createTextField('app', { label: '应用', edit: { hidden: true } }),
-  createTextField('share.collection', { label: '收藏数', list: { sort: true } }),
-  createTextField('share.topNum', { label: '置顶等级', list: { sort: true } }),
-  createTextField('share.isShare', { label: '是否分享(true,false)' }),
-  createTextField('intro', { label: '介绍', list: { width: 400 } }),
-  createTextField('relatedKbs', { label: '引用的知识库', list: { hidden: true } }),
-  createTextField('temperature', { label: '温度' }),
-  createTextField('systemPrompt', {
-    label: '提示词',
-    list: {
-      width: 400,
-      hidden: true
-    }
-  })
-];

admin/src/main.tsx

@@ -1,5 +0,0 @@
-import React from 'react';
-import ReactDOM from 'react-dom/client';
-import App from './App';
-
-ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(<App />);

admin/src/vite-env.d.ts

@@ -1 +0,0 @@
-/// <reference types="vite/client" />

admin/tsconfig.json

@@ -1,21 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ESNext",
-    "useDefineForClassFields": true,
-    "lib": ["DOM", "DOM.Iterable", "ESNext"],
-    "allowJs": false,
-    "skipLibCheck": true,
-    "esModuleInterop": false,
-    "allowSyntheticDefaultImports": true,
-    "strict": true,
-    "forceConsistentCasingInFileNames": true,
-    "module": "ESNext",
-    "moduleResolution": "Node",
-    "resolveJsonModule": true,
-    "isolatedModules": true,
-    "noEmit": true,
-    "jsx": "react-jsx"
-  },
-  "include": ["src"],
-  "references": [{ "path": "./tsconfig.node.json" }]
-}

admin/tsconfig.node.json

@@ -1,9 +0,0 @@
-{
-  "compilerOptions": {
-    "composite": true,
-    "module": "ESNext",
-    "moduleResolution": "Node",
-    "allowSyntheticDefaultImports": true
-  },
-  "include": ["vite.config.ts"]
-}

admin/vite.config.ts

@@ -1,7 +0,0 @@
-import { defineConfig } from 'vite';
-import react from '@vitejs/plugin-react';
-
-// https://vitejs.dev/config/
-export default defineConfig({
-  plugins: [react()],
-});

client/.env.template

@@ -1,33 +1,22 @@
-# 运行端口，如果不是 3000 口运行，需要改成其他的。注意：不是改了这个变量就会变成其他端口，而是因为改成其他端口，才用这个变量。
-PORT=3000
-# database max link
+# 默认用户密码，用户名为 root，每次重启时会自动更新。
+DEFAULT_ROOT_PSW=123456
+# 数据库最大连接数
 DB_MAX_LINK=5
-# 代理
-# AXIOS_PROXY_HOST=127.0.0.1
-# AXIOS_PROXY_PORT=7890
-# email
-MY_MAIL=xxxx@qq.com
-MAILE_CODE=xxxx
-# ali ems
-aliAccessKeyId=xxxx
-aliAccessKeySecret=xxxx
-aliSignName=xxxx
-aliTemplateCode=xxxx
 # token
 TOKEN_KEY=dfdasfdas
+# 文件阅读时的秘钥
+FILE_TOKEN_KEY=filetokenkey
 # root key, 最高权限
 ROOT_KEY=fdafasd
-# 使用 oneapi 
-# ONEAPI_URL=https://xxxx.cloud.sealos.io/v1
-# ONEAPI_KEY=sk-xxxx
-# openai 的基本地址（国外的可以忽略，默认走 api.openai.com）。不用 oneapi 的话需要下面 2 个参数，用户的 key 也会走下面的参数
-OPENAI_BASE_URL=https://xxxx.cloud.sealos.io/openai/v1
-OPENAIKEY=sk-xxxx
+# openai 基本地址，可用作中转。
+OPENAI_BASE_URL=https://api.openai.com/v1
+# oneapi 地址，可以使用 oneapi 来实现多模型接入
+# ONEAPI_URL=https://xxxx.cloud.sealos.io/openai/v1
+# 通用key。可以是 openai 的也可以是 oneapi 的。
+# 此处逻辑：优先走 ONEAPI_URL，如果填写了 ONEAPI_URL，key 也需要是 ONEAPI 的 key
+CHAT_API_KEY=sk-xxxx
 # db
-MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
-MONGODB_NAME=fastgpt
-PG_HOST=0.0.0.0
-PG_PORT=8100
-PG_USER=root
-PG_PASSWORD=psw
-PG_DB_NAME=dbname
+MONGODB_URI=mongodb://username:password@0.0.0.0:27017/fastgpt?authSource=admin
+PG_URL=postgresql://username:password@host:port/postgres
+# 首页路径
+HOME_URL=/

client/.gitignore

@@ -29,4 +29,4 @@ platform.json
 testApi/
 local/
 .husky/
-data/config.json.local
+data/*.local.*

client/Dockerfile

@@ -7,15 +7,16 @@ WORKDIR /app
 # Install dependencies based on the preferred package manager
 COPY package.json ./
 COPY pnpm-lock.yaml* ./
-RUN pnpm config set registry https://registry.npmmirror.com/
 RUN \
-  [ -f pnpm-lock.yaml ] && pnpm install || \
+  [ -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.
@@ -23,7 +24,10 @@ COPY . .
 # Uncomment the following line in case you want to disable telemetry during the build.
 ENV NEXT_TELEMETRY_DISABLED 1
 
-RUN npm install -g pnpm && pnpm run build
+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

client/data/config.json

@@ -1,70 +1,66 @@
 {
   "FeConfig": {
     "show_emptyChat": true,
-    "show_register": true,
+    "show_register": false,
     "show_appStore": false,
-    "show_userDetail": true,
+    "show_userDetail": false,
+    "show_contact": true,
     "show_git": true,
-    "systemTitle": "FastAI",
-    "authorText": "Made by FastAI Team."
+    "show_doc": true,
+    "systemTitle": "FastGPT",
+    "authorText": "Made by FastGPT Team.",
+    "limit": {
+      "exportLimitMinutes": 0
+    },
+    "scripts": []
   },
   "SystemParams": {
-    "beianText": "",
-    "baiduTongji": "",
-    "googleClientVerKey": "",
-    "googleServiceVerKey": "",
     "vectorMaxProcess": 15,
     "qaMaxProcess": 15,
-    "pgIvfflatProbe": 20,
-    "sensitiveCheck": false
+    "pgIvfflatProbe": 20
   },
   "ChatModels": [
     {
       "model": "gpt-3.5-turbo",
-      "name": "FastAI-4k",
+      "name": "GPT35-4k",
       "contextMaxToken": 4000,
       "quoteMaxToken": 2000,
       "maxTemperature": 1.2,
-      "price": 1.5
+      "price": 0,
+      "defaultSystem": ""
     },
     {
       "model": "gpt-3.5-turbo-16k",
-      "name": "FastAI-16k",
+      "name": "GPT35-16k",
       "contextMaxToken": 16000,
       "quoteMaxToken": 8000,
       "maxTemperature": 1.2,
-      "price": 3
-    },
-    {
-      "model": "ERNIE-Bot",
-      "name": "文心一言",
-      "contextMaxToken": 3000,
-      "quoteMaxToken": 1500,
-      "maxTemperature": 1,
-      "price": 1.2
+      "price": 0,
+      "defaultSystem": ""
     },
     {
       "model": "gpt-4",
-      "name": "FastAI-Plus",
+      "name": "GPT4-8k",
       "contextMaxToken": 8000,
       "quoteMaxToken": 4000,
       "maxTemperature": 1.2,
-      "price": 45
-    }
-  ],
-  "QAModels": [
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "FastAI-16k",
-      "maxToken": 16000,
-      "price": 3
+      "price": 0,
+      "defaultSystem": ""
     }
   ],
   "VectorModels": [
     {
       "model": "text-embedding-ada-002",
       "name": "Embedding-2",
-      "price": 0.2
+      "price": 0,
+      "defaultToken": 500,
+      "maxToken": 3000
     }
-  ]
+  ],
+  "QAModel": {
+    "model": "gpt-3.5-turbo-16k",
+    "name": "GPT35-16k",
+    "maxToken": 16000,
+    "price": 0
+  }
 }

client/next-i18next.config.js

@@ -5,8 +5,8 @@
 
 module.exports = {
   i18n: {
-    defaultLocale: 'en',
-    locales: ['en', 'zh', 'zh-Hans'],
+    defaultLocale: 'zh',
+    locales: ['en', 'zh', 'zh-Hans', 'zh-CN'],
     localeDetection: false
   }
 };

client/next.config.js

@@ -17,17 +17,17 @@ const nextConfig = {
         }
       };
     }
-    config.experiments = {
-      asyncWebAssembly: true,
-      layers: true
+    config.module = {
+      ...config.module,
+      rules: config.module.rules.concat([
+        {
+          test: /\.svg$/i,
+          issuer: /\.[jt]sx?$/,
+          use: ['@svgr/webpack']
+        }
+      ]),
+      exprContextCritical: false
     };
-    config.module.rules = config.module.rules.concat([
-      {
-        test: /\.svg$/i,
-        issuer: /\.[jt]sx?$/,
-        use: ['@svgr/webpack']
-      }
-    ]);
 
     return config;
   }

client/package.json

@@ -1,7 +1,7 @@
 {
   "name": "fastgpt",
-  "version": "3.7",
-  "private": true,
+  "version": "4.2.1",
+  "private": false,
   "scripts": {
     "dev": "next dev",
     "build": "next build",
@@ -9,15 +9,12 @@
     "lint": "next lint"
   },
   "dependencies": {
-    "@alicloud/dysmsapi20170525": "^2.0.23",
-    "@alicloud/openapi-client": "^0.4.5",
-    "@alicloud/tea-util": "^1.4.5",
     "@chakra-ui/icons": "^2.0.17",
     "@chakra-ui/react": "^2.7.0",
     "@chakra-ui/system": "^2.5.8",
-    "@dqbd/tiktoken": "^1.0.7",
     "@emotion/react": "^11.10.6",
     "@emotion/styled": "^11.10.6",
+    "@mozilla/readability": "^0.4.4",
     "@next/font": "13.1.6",
     "@tanstack/react-query": "^4.24.10",
     "@types/nprogress": "^0.2.0",
@@ -26,27 +23,33 @@
     "crypto": "^1.0.1",
     "date-fns": "^2.30.0",
     "dayjs": "^1.11.7",
+    "downloadjs": "^1.4.7",
     "echarts": "^5.4.1",
+    "echarts-gl": "^2.0.9",
     "formidable": "^2.1.1",
     "framer-motion": "^9.0.6",
     "hyperdown": "^2.4.29",
     "i18next": "^22.5.1",
     "immer": "^9.0.19",
     "js-cookie": "^3.0.5",
+    "js-tiktoken": "^1.0.7",
+    "jschardet": "^3.0.0",
+    "jsdom": "^22.1.0",
     "jsonwebtoken": "^9.0.0",
     "lodash": "^4.17.21",
     "mammoth": "^1.5.1",
     "mermaid": "^10.2.3",
     "mongoose": "^6.10.0",
+    "multer": "1.4.5-lts.1",
     "nanoid": "^4.0.1",
     "next": "13.1.6",
     "next-i18next": "^13.3.0",
     "nextjs-cors": "^2.1.2",
-    "nodemailer": "^6.9.1",
     "nprogress": "^0.2.0",
     "openai": "^3.3.0",
     "papaparse": "^5.4.1",
     "pg": "^8.10.0",
+    "pg-query-stream": "^4.5.3",
     "react": "18.2.0",
     "react-day-picker": "^8.7.1",
     "react-dom": "18.2.0",
@@ -61,19 +64,23 @@
     "remark-math": "^5.1.1",
     "request-ip": "^3.3.0",
     "sass": "^1.58.3",
+    "timezones-list": "^3.0.2",
     "tunnel": "^0.0.6",
-    "wxpay-v3": "^3.0.2",
+    "winston": "^3.10.0",
+    "winston-mongodb": "^5.1.1",
     "zustand": "^4.3.5"
   },
   "devDependencies": {
     "@svgr/webpack": "^6.5.1",
     "@types/cookie": "^0.5.1",
+    "@types/downloadjs": "^1.4.3",
     "@types/formidable": "^2.0.5",
     "@types/js-cookie": "^3.0.3",
+    "@types/jsdom": "^21.1.1",
     "@types/jsonwebtoken": "^9.0.1",
     "@types/lodash": "^4.14.191",
+    "@types/multer": "^1.4.7",
     "@types/node": "18.14.0",
-    "@types/nodemailer": "^6.4.7",
     "@types/papaparse": "^5.3.7",
     "@types/pg": "^8.6.6",
     "@types/react": "18.0.28",

client/public/docs/chatProblem.md

@@ -1,12 +1,12 @@
 ### 常见问题
 
-**一键部署**：V4 版本未正式开源，目前仅提供一键部署方案:
+- [**Git 地址**，点击查看项目地址](https://github.com/labring/FastGPT)
+- [本地部署 FastGPT](https://doc.fastgpt.run/docs/installation)
+- [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
+- **反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
+- **问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [点击查看商业版文档](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
 
-[![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
-
-**Git 地址**: [项目地址。V4-beta 暂未开源，在正式版发布后会开源。](https://github.com/labring/FastGPT)
-**反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
-**问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)  
 **价格表**
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
 | --- | --- |
@@ -14,7 +14,7 @@
 | FastAI4k - 对话 | 0.015 |
 | FastAI16k - 对话 | 0.03 |
 | FastAI-Plus - 对话 | 0.45 |
-| 文件拆分 | 0.03 |
+| 文件 QA 拆分 | 0.03 |
 
 **其他问题**
 | 交流群 | 小助手 |

client/public/docs/versionIntro.md

@@ -1,8 +1,7 @@
-### Fast GPT V4.0-beta
+### Fast GPT V4.4.1
 
-1. 全新交互，增加采用模块组合的方式构建知识库，同时保留表单的简易模式。
-2. 问题分类 - 可以对用户的问题进行分类，再执行不同的操作。
-3. 对话引导 - 增加开场引导和变量，提高对话可玩性。
-4. 新增 - 每轮对话均可展示完整的上下文状态。
-5. 新增 - 网页嵌入（简单版），可直接接入现有网页。在 【应用详情-外部使用-创建新链接-嵌入网页】 中获取嵌入脚本。
-6. 新增 - 个人 openai 账号可以使用网页上 OpenAI 对话模型。
+1. 新增 - 知识库目录结构
+2. 新增 - 分享链接支持配置 IP 限流、过期时间、最大额度等
+3. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
+4. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
+5. [点击查看商业版](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

client/public/icon/fill/app.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683254592786" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1352" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M450.09164971 42.7357605a123.86965959 123.86965959 0 0 1 123.76374272 0L889.06369251 222.84722403a123.92261859 123.92261859 0 0 1 62.06722618 107.2407279v360.38180181c0 44.22025102-23.6194395 85.05116445-61.9613093 107.13480989l-0.10591688 0.10591687-315.20830008 180.11146353a123.86965959 123.86965959 0 0 1-123.76374272 0L134.93630749 797.7104805a123.92261859 123.92261859 0 0 1-62.06722618-107.24072676V330.08795193c0-44.22025102 23.67239737-85.05116445 61.9613093-107.13481102l0.10591688-0.10591688z m462.16781482 223.59029646a33.78744889 33.78744889 0 0 0-46.17971029-12.28634453l-353.81496263 204.57823687L158.44982898 254.09267029a33.78744889 33.78744889 0 0 0-33.89336463 58.46605597l353.6031289 204.47232v430.02207687c0 18.00585102 15.14609778 32.62236445 33.84040675 32.62236444a33.20490667 33.20490667 0 0 0 33.73449102-32.62236444V517.29583787l354.18567111-204.79006948a33.78744889 33.78744889 0 0 0 14.66947129-41.20162304z" p-id="1353"></path></svg>

client/public/icon/logo.svg

@@ -0,0 +1,14 @@
+<svg width="1041" height="1348" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
+<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
+<defs>
+<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+</defs>
+</svg>

client/public/imgs/files/file.svg

@@ -0,0 +1 @@
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client/public/imgs/files/folder.svg

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client/public/imgs/files/url.svg

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client/public/imgs/home/icon_0.svg

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client/public/imgs/home/icon_1.svg

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client/public/imgs/home/icon_2.svg

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client/public/imgs/home/icon_3.svg

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client/public/imgs/home/icon_4.svg

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client/public/imgs/home/icon_5.svg

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client/public/imgs/home/icon_6.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1691460052375" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7219" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M950.676002 419.057175a255.346807 255.346807 0 0 0-22.014863-209.48251 257.949339 257.949339 0 0 0-277.74565-123.72694A258.759964 258.759964 0 0 0 212.538139 178.386943a255.346807 255.346807 0 0 0-170.572521 123.726941 257.949339 257.949339 0 0 0 31.699696 302.789689 255.133485 255.133485 0 0 0 21.758876 209.525175 258.162662 258.162662 0 0 0 277.958972 123.726941A255.346807 255.346807 0 0 0 565.757223 1023.996587a258.375984 258.375984 0 0 0 246.259276-179.446729 255.560129 255.560129 0 0 0 170.529856-123.726941 258.375984 258.375984 0 0 0-31.870353-301.765742zM565.757223 957.013381a190.966133 190.966133 0 0 1-122.702994-44.371041l6.015689-3.455821 203.893466-117.668587a33.918248 33.918248 0 0 0 16.724469-29.054499v-287.430483l86.182214 49.832092a3.029177 3.029177 0 0 1 1.621249 2.218552v238.195693a192.160738 192.160738 0 0 1-191.734093 191.734094zM153.618516 780.979809a190.710147 190.710147 0 0 1-22.825487-128.590689l6.058354 3.626479 204.064123 117.711252a32.8943 32.8943 0 0 0 33.278281 0l249.288453-143.736574v99.493526a3.413157 3.413157 0 0 1-1.407927 2.645197L415.578315 851.205514a191.990081 191.990081 0 0 1-261.959799-70.225705zM99.861294 336.928085a191.350114 191.350114 0 0 1 100.944118-84.176984V494.957254a32.680978 32.680978 0 0 0 16.553811 28.841176l248.093849 143.139272-86.182214 49.832092a3.242499 3.242499 0 0 1-3.029177 0l-206.069353-118.863193A192.160738 192.160738 0 0 1 99.861294 335.904138z m708.102081 164.471503l-248.861809-144.504534L645.070458 307.23362a3.242499 3.242499 0 0 1 3.029177 0l206.069353 119.076514a191.734094 191.734094 0 0 1-28.841177 345.795467v-242.248817a33.704925 33.704925 0 0 0-17.364436-28.457196z m85.75557-128.97467l-6.01569-3.626479-203.680143-118.692534a33.107623 33.107623 0 0 0-33.491603 0L401.456378 393.842478V294.306288a2.815855 2.815855 0 0 1 1.194605-2.602533l206.069353-118.905856a191.990081 191.990081 0 0 1 284.998609 198.816394z m-539.278804 176.417552l-86.182214-49.661434a3.413157 3.413157 0 0 1-1.62125-2.431875V259.236099a191.990081 191.990081 0 0 1 314.65041-147.320388l-6.058354 3.413157-203.850801 117.668587a33.918248 33.918248 0 0 0-16.767134 29.054499z m46.802915-100.901454l111.012931-63.996693 111.226253 63.996693v127.950723l-110.799609 63.996693-111.226253-63.996693z" p-id="7220"></path></svg>

client/public/js/iframe.js

@@ -20,18 +20,14 @@ async function embedChatbot() {
   const ChatBtn = document.createElement('div');
   ChatBtn.id = chatBtnId;
   ChatBtn.style.cssText =
-    'position: fixed; bottom: 1rem; right: 1rem; width: 40px; height: 40px; cursor: pointer; z-index: 2147483647; ';
+    'position: fixed; bottom: 1rem; right: 1rem; width: 40px; height: 40px; cursor: pointer; z-index: 2147483647; transition: 0;';
 
   const ChatBtnDiv = document.createElement('div');
-  ChatBtnDiv.style.cssText =
-    'transition: all 0.2s ease-in-out 0s; left: unset; transform: scale(1); :hover {transform: scale(1.1);} display: flex; align-items: center; justify-content: center; width: 100%; height: 100%; z-index: 9999;';
   ChatBtnDiv.innerHTML = MessageIcon;
 
-  ChatBtn.appendChild(ChatBtnDiv);
-
   const iframe = document.createElement('iframe');
   iframe.allow = 'fullscreen;microphone';
-  iframe.title = 'FastGpt Chat Window';
+  iframe.title = 'FastGPT Chat Window';
   iframe.id = chatWindowId;
   iframe.src = botSrc;
 
@@ -40,11 +36,15 @@ async function embedChatbot() {
 
   document.body.appendChild(iframe);
 
-  iframe.onload = () => {
-    document.body.appendChild(ChatBtn);
-  };
-
+  let chatBtnDragged = false;
+  let chatBtnDown = false;
+  let chatBtnMouseX;
+  let chatBtnMouseY;
   ChatBtn.addEventListener('click', function () {
+    if (chatBtnDragged) {
+      chatBtnDragged = false;
+      return;
+    }
     const chatWindow = document.getElementById(chatWindowId);
 
     if (!chatWindow) return;
@@ -57,5 +57,33 @@ async function embedChatbot() {
       ChatBtnDiv.innerHTML = MessageIcon;
     }
   });
+
+  ChatBtn.addEventListener('mousedown', (e) => {
+    if (!chatBtnMouseX && !chatBtnMouseY) {
+      chatBtnMouseX = e.clientX;
+      chatBtnMouseY = e.clientY;
+    }
+
+    chatBtnDown = true;
+  });
+  ChatBtn.addEventListener('mousemove', (e) => {
+    if (!chatBtnDown) return;
+    chatBtnDragged = true;
+    const transformX = e.clientX - chatBtnMouseX;
+    const transformY = e.clientY - chatBtnMouseY;
+
+    ChatBtn.style.transform = `translate3d(${transformX}px, ${transformY}px, 0)`;
+
+    e.stopPropagation();
+  });
+  ChatBtn.addEventListener('mouseup', (e) => {
+    chatBtnDown = false;
+  });
+  ChatBtn.addEventListener('mouseleave', (e) => {
+    chatBtnDown = false;
+  });
+
+  ChatBtn.appendChild(ChatBtnDiv);
+  document.body.appendChild(ChatBtn);
 }
 document.body.onload = embedChatbot;

client/public/locales/en/common.json

@@ -2,26 +2,192 @@
   "App": "App",
   "Cancel": "No",
   "Confirm": "Yes",
+  "Create New": "Create",
+  "Dataset": "Dataset",
+  "Export": "Export",
+  "Folder": "Folder",
+  "Move": "Move",
+  "Name": "Name",
+  "Rename": "Rename",
+  "Running": "Running",
+  "Select value is empty": "Select value is empty",
+  "UnKnow": "UnKnow",
   "Warning": "Warning",
   "app": {
+    "Advance App TestTip": "The current application is advanced editing mode \n. If you need to switch to [simple mode], please click the save button on the left",
     "App Detail": "App Detail",
+    "Chat Logs Tips": "Logs record the app's online, shared, and API(chatId is existing) conversations",
+    "Chat logs": "Chat Logs",
     "Confirm Del App Tip": "Confirm to delete the app and all its chats",
-    "Confirm Save App Tip": "After saving, the advanced orchestration configuration will be overwritten. Make sure that the application does not use advanced orchestration.",
+    "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",
-    "My Apps": "My Apps"
+    "Copy Module Config": "Copy config",
+    "Export Config Successful": "The configuration has been copied. Please check for important data",
+    "Export Configs": "Export Configs",
+    "Feedback Count": "User Feedback",
+    "Import Config": "Import Config",
+    "Import Config Failed": "Failed to import the configuration, please ensure that the configuration is normal!",
+    "Import Configs": "Import Configs",
+    "Input Field Settings": "Input Field Settings",
+    "Logs Empty": "Logs is empty",
+    "Logs Message Total": "Message Count",
+    "Logs Source": "Source",
+    "Logs Time": "Time",
+    "Logs Title": "Title",
+    "Mark Count": "Mark Count",
+    "My Apps": "My Apps",
+    "Output Field Settings": "Output Field Settings",
+    "Paste Config": "Paste Config",
+    "Variable Key Repeat Tip": "Variable Key Repeat"
   },
   "chat": {
+    "Admin Mark Content": "Corrected response",
+    "Complete Response": "Complete Response",
     "Confirm to clear history": "Confirm to clear history?",
+    "Confirm to clear share chat histroy": " Are you sure to delete all chats?",
     "Exit Chat": "Exit",
+    "Feedback Close": "Close Feedback",
+    "Feedback Failed": "Feedback Failed",
+    "Feedback Mark": "Mark",
+    "Feedback Modal": "Feedback",
+    "Feedback Modal Tip": "Enter what you find unsatisfactory",
+    "Feedback Submit": "Submit",
+    "Feedback Success": "Feedback Success",
+    "Feedback Update Failed": "Feedback Update Failed",
     "History": "History",
+    "Mark": "Mark",
+    "Mark Description": "The annotation feature is currently in beta. \n\n After clicking Add annotation, you need to select a knowledge base in order to store annotation data. You can use this feature to quickly annotate questions and expected answers to guide the model to the next answer. At present, the annotation function, like other data in the knowledge base, is affected by the model, which does not mean that the annotation meets 100% expectations. The \n\n annotation data is only unidirectional synchronization with the knowledge base. If the knowledge base modifies the annotation data, the annotation data displayed in the log cannot be synchronized",
+    "Mark Description Title": "Mark Description",
     "New Chat": "New Chat",
-    "You need to a chat app": "You need to a chat app"
+    "Read Mark Description": "Read mark description",
+    "Read User Feedback": "Read user feedback",
+    "Select Mark Kb": "Select Dataset",
+    "Select Mark Kb Desc": "Select a dataset to store the expected answers",
+    "You need to a chat app": "You need to a chat app",
+    "logs": {
+      "api": "API",
+      "online": "Online Chat",
+      "share": "Share",
+      "test": "Test Chat "
+    },
+    "retry": "Retry"
+  },
+  "common": {
+    "Add": "Add",
+    "Cancel": "Cancel",
+    "Collect": "Collect",
+    "Copy": "Copy",
+    "Copy Successful": "Copy Successful",
+    "Course": "",
+    "Delete": "Delete",
+    "Delete Failed": "Delete Failed",
+    "Delete Success": "Delete Successful",
+    "Delete Warning": "Warning",
+    "Edit": "Edit",
+    "Expired Time": "Expired",
+    "Filed is repeat": "Filed is repeated",
+    "Filed is repeated": "",
+    "Input": "Input",
+    "Name is empty": "Name is empty",
+    "Output": "Output",
+    "Password inconsistency": "Password inconsistency",
+    "Rename": "Rename",
+    "Search": "Search",
+    "Status": "Status",
+    "Update Successful": "Update Successful",
+    "export": ""
+  },
+  "dataset": {
+    "Confirm to delete the data": "Confirm to delete the data?",
+    "Export": "Export",
+    "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",
+    "Click to view file": "Click to view file",
+    "Create File": "Create File",
+    "Create file": "Create file",
+    "Drag and drop": "Drag and drop files here",
+    "Embedding": "Embedding",
+    "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",
+    "Parse": "{{name}} Parsing...",
+    "Ready": "Ready",
+    "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",
+    "Uploading": "Uploading: {{name}}, Progress: {{percent}}%",
+    "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 Fast": "Fast",
+    "Choice Fast Desc": "{{title}} provides out-of-the-box visual actions to build AI applications point-by-point",
+    "Choice Models": "Multiple Models",
+    "Choice Models Desc": "Supports multiple models such as GPT, Claude, Spark, and ChatGLM",
+    "Choice Open": "Open",
+    "Choice Open Desc": "{{title}} follows the Apache License 2.0 open source protocol",
+    "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": "{{title}} Ability",
+    "FastGPT Desc": "{{title}} 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": "{{title}} 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"
+    "Visual AI orchestration": "Visual AI orchestration",
+    "Why FastGPT": "Why {{title}}",
+    "desc": "AI knowledge base question and answer platform based on LLM large model",
+    "slogan": "Let the AI know more about you"
+  },
+  "kb": {
+    "Chunk Length": "Chunk Length",
+    "Confirm move the folder": "Confirm Move",
+    "Confirm to delete the file": "Are you sure to delete the file and all its data?",
+    "Create Folder": "Create Folder",
+    "Delete Dataset Error": "Delete dataset failed",
+    "Edit Folder": "Edit Folder",
+    "File Size": "File Size",
+    "Filename": "Filename",
+    "Files": "{{total}} Files",
+    "Folder Name": "Input folder name",
+    "Move Failed": "Move Failed",
+    "My Dataset": "My Dataset",
+    "No Folder": "No Folder",
+    "Other Data": "Other Data",
+    "Select Dataset": "Select Dataset",
+    "Select Folder": "Enter folder",
+    "Upload Time": "Upload Time",
+    "deleteDatasetTips": "Are you sure to delete the knowledge base? Data cannot be recovered after deletion, please confirm!",
+    "deleteFolderTips": "Are you sure to delete this folder and all the knowledge bases it contains? Data cannot be recovered after deletion, please confirm!"
   },
   "navbar": {
     "Account": "Account",
@@ -31,14 +197,66 @@
     "Store": "Store",
     "Tools": "Tools"
   },
+  "outlink": {
+    "Copy Iframe": "Copy Iframe",
+    "Copy Link": "Copy",
+    "Create Ifrme Window": "Create Iframe Link",
+    "Create Share Window": "Create Share Window",
+    "Delete Link": "Delete",
+    "Edit Ifrme Link": "Edit Iframe Link",
+    "Edit Link": "Edit",
+    "Edit Share Window": "Edit Share Window",
+    "Link Name": "Link Name",
+    "Link is empty": "",
+    "Max credit": "Credit",
+    "Max credit tips": "What is the maximum amount of money that can be consumed by the link? If the link is exceeded, it will be banned. -1 indicates no limit.",
+    "QPM": "QPM",
+    "QPM Tips": "The maximum number of queries per IP address per minute",
+    "QPM is empty": "QPM is empty",
+    "Response Detail": "Detail",
+    "Response Detail tips": "Whether detailed data such as references and full context need to be returned"
+  },
+  "system": {
+    "Help Document": "Document"
+  },
   "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.",
+    "Language": "Language",
+    "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",
+    "Timezone": "Timezone",
+    "Total Amount": "Total Amount",
     "Update Password": "Update Password",
     "Update password failed": "Update password failed",
-    "Update password succseful": "Update password succseful"
+    "Update password succseful": "Update password succseful",
+    "Usage Record": "Usage",
+    "promotion": {
+      "pay": "",
+      "register": ""
+    }
   }
 }

client/public/locales/zh/common.json

@@ -2,26 +2,192 @@
   "App": "应用",
   "Cancel": "取消",
   "Confirm": "确认",
+  "Create New": "新建",
+  "Dataset": "知识库",
+  "Export": "导出",
+  "Folder": "文件夹",
+  "Move": "移动",
+  "Name": "名称",
+  "Rename": "重命名",
+  "Running": "运行中",
+  "Select value is empty": "选择的内容为空",
+  "UnKnow": "未知",
   "Warning": "提示",
   "app": {
+    "Advance App TestTip": "当前应用为高级编排模式\n如需切换为【简易模式】请点击左侧保存按键",
     "App Detail": "应用详情",
+    "Chat Logs Tips": "日志会记录该应用的在线、分享和 API(需填写 chatId) 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": "保存后将会覆盖高级编排配置，请确保该应用未使用高级编排功能。",
+    "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",
-    "My Apps": "我的应用"
+    "Copy Module Config": "复制配置",
+    "Export Config Successful": "已复制配置，请注意检查是否有重要数据",
+    "Export Configs": "导出配置",
+    "Feedback Count": "用户反馈",
+    "Import Config": "导入配置",
+    "Import Config Failed": "导入配置失败，请确保配置正常！",
+    "Import Configs": "导入配置",
+    "Input Field Settings": "输入字段编辑",
+    "Logs Empty": "还没有日志噢~",
+    "Logs Message Total": "消息总数",
+    "Logs Source": "来源",
+    "Logs Time": "时间",
+    "Logs Title": "标题",
+    "Mark Count": "标注答案数量",
+    "My Apps": "我的应用",
+    "Output Field Settings": "输出字段编辑",
+    "Paste Config": "粘贴配置",
+    "Variable Key Repeat Tip": "变量 key 重复"
   },
   "chat": {
-    "Confirm to clear history": "确认清空该应用的聊天记录？",
+    "Admin Mark Content": "纠正后的回复",
+    "Complete Response": "完整响应",
+    "Confirm to clear history": "确认清空该应用的在线聊天记录？分享和 API 调用的记录不会被清空。",
+    "Confirm to clear share chat histroy": "确认删除所有聊天记录？",
     "Exit Chat": "退出聊天",
+    "Feedback Close": "关闭反馈",
+    "Feedback Failed": "提交反馈异常",
+    "Feedback Mark": "标注",
+    "Feedback Modal": "结果反馈",
+    "Feedback Modal Tip": "输入你觉得回答不满意的地方",
+    "Feedback Submit": "提交反馈",
+    "Feedback Success": "反馈成功!",
+    "Feedback Update Failed": "更新反馈状态失败",
     "History": "记录",
+    "Mark": "标注预期回答",
+    "Mark Description": "当前标注功能为测试版。\n\n点击添加标注后，需要选择一个知识库，以便存储标注数据。你可以通过该功能快速的标注问题和预期回答，以便引导模型下次的回答。\n\n目前，标注功能同知识库其他数据一样，受模型的影响，不代表标注后 100% 符合预期。\n\n标注数据仅单向与知识库同步，如果知识库修改了该标注数据，日志展示的标注数据无法同步",
+    "Mark Description Title": "标注功能介绍",
     "New Chat": "新对话",
-    "You need to a chat app": "你需要创建一个应用"
+    "Read Mark Description": "查看标注功能介绍",
+    "Read User Feedback": "查看用户反馈",
+    "Select Mark Kb": "选择知识库",
+    "Select Mark Kb Desc": "选择一个知识库存储预期答案",
+    "You need to a chat app": "你需要创建一个应用",
+    "logs": {
+      "api": "API 调用",
+      "online": "在线使用",
+      "share": "外部链接调用",
+      "test": "测试"
+    },
+    "retry": "重新生成"
+  },
+  "common": {
+    "Add": "添加",
+    "Cancel": "取消",
+    "Collect": "收藏",
+    "Copy": "复制",
+    "Copy Successful": "复制成功",
+    "Course": "",
+    "Delete": "删除",
+    "Delete Failed": "删除失败",
+    "Delete Success": "删除成功",
+    "Delete Warning": "删除警告",
+    "Edit": "编辑",
+    "Expired Time": "过期时间",
+    "Filed is repeat": "",
+    "Filed is repeated": "字段重复了",
+    "Input": "输入",
+    "Name is empty": "名称不能为空",
+    "Output": "输出",
+    "Password inconsistency": "两次密码不一致",
+    "Rename": "重命名",
+    "Search": "搜索",
+    "Status": "状态",
+    "Update Successful": "更新成功",
+    "export": ""
+  },
+  "dataset": {
+    "Confirm to delete the data": "确认删除该数据？",
+    "Export": "导出",
+    "Queue Desc": "该数据是指整个系统当前待训练的数量。{{title}} 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",
+    "Click to view file": "点击查看原始文件",
+    "Create File": "创建新文件",
+    "Create file": "创建文件",
+    "Drag and drop": "拖拽文件至此",
+    "Embedding": "索引中",
+    "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",
+    "Parse": "{{name}} 解析中...",
+    "Ready": "可用",
+    "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",
+    "Uploading": "正在上传 {{name}}，进度: {{percent}}%",
+    "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 Fast": "开箱即用",
+    "Choice Fast Desc": "{{title}} 提供开箱即用的可视化操作，点点点即可构建 AI 应用",
+    "Choice Models": "支持多种模型",
+    "Choice Models Desc": "支持 GPT、Claude、Spark、ChatGLM等多模型",
+    "Choice Open": "更开放",
+    "Choice Open Desc": "{{title}} 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": "{{title}} 能力",
+    "FastGPT Desc": "{{title}} 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": "{{title}} 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"
+    "Visual AI orchestration": "可视化 AI 编排",
+    "Why FastGPT": "为什么选择 {{title}}",
+    "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"
+  },
+  "kb": {
+    "Chunk Length": "数据总量",
+    "Confirm move the folder": "确认移动到该目录",
+    "Confirm to delete the file": "确认删除该文件及其所有数据？",
+    "Create Folder": "创建文件夹",
+    "Delete Dataset Error": "删除知识库异常",
+    "Edit Folder": "编辑文件夹",
+    "File Size": "文件大小",
+    "Filename": "文件名",
+    "Files": "文件: {{total}}个",
+    "Folder Name": "输入文件夹名称",
+    "Move Failed": "移动出现错误~",
+    "My Dataset": "我的知识库",
+    "No Folder": "没有子目录了~",
+    "Other Data": "其他数据",
+    "Select Dataset": "选择该知识库",
+    "Select Folder": "进入文件夹",
+    "Upload Time": "上传时间",
+    "deleteDatasetTips": "确认删除该知识库？删除后数据无法恢复，请确认！",
+    "deleteFolderTips": "确认删除该文件夹及其包含的所有知识库？删除后数据无法恢复，请确认！"
   },
   "navbar": {
     "Account": "账号",
@@ -31,14 +197,66 @@
     "Store": "应用市场",
     "Tools": "工具"
   },
+  "outlink": {
+    "Copy Iframe": "复制嵌入",
+    "Copy Link": "复制",
+    "Create Ifrme Window": "创建嵌入链接",
+    "Create Share Window": "创建免登录窗口",
+    "Delete Link": "删除链接",
+    "Edit Ifrme Link": "更新嵌入链接",
+    "Edit Link": "编辑",
+    "Edit Share Window": "更新分享窗口",
+    "Link Name": "分享链接的名字",
+    "Link is empty": "",
+    "Max credit": "最大金额",
+    "Max credit tips": "该链接最大可消耗多少金额，超出后链接将被禁止使用。-1 代表无限制。",
+    "QPM": "",
+    "QPM Tips": "每个 IP 每分钟最多提问多少次",
+    "QPM is empty": "QPM 不能为空",
+    "Response Detail": "返回详情",
+    "Response Detail tips": "是否需要返回引用、完整上下文等详细数据"
+  },
+  "system": {
+    "Help Document": "帮助文档"
+  },
   "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。",
+    "Language": "语言",
+    "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",
+    "Timezone": "时区",
+    "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"
+    "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"
+    }
   }
 }

client/src/api/app.ts

@@ -4,6 +4,7 @@ import type { AppListItemType, AppUpdateParams } from '@/types/app';
 import { RequestPaging } from '../types/index';
 import type { Props as CreateAppProps } from '@/pages/api/app/create';
 import { addDays } from 'date-fns';
+import { GetAppChatLogsParams } from './request/app';
 
 /**
  * 获取模型列表
@@ -51,3 +52,5 @@ export const getAppTotalUsage = (data: { appId: string }) =>
     start: addDays(new Date(), -13),
     end: addDays(new Date(), 1)
   }).then((res) => (res.length === 0 ? [{ date: new Date(), total: 0 }] : res));
+
+export const getAppChatLogs = (data: GetAppChatLogsParams) => POST(`/app/getChatLogs`, data);

client/src/api/chat.ts

@@ -1,10 +1,9 @@
 import { GET, POST, DELETE, PUT } from './request';
 import type { ChatHistoryItemType } from '@/types/chat';
-import type { InitChatResponse, InitShareChatResponse } from './response/chat';
+import type { InitChatResponse } from './response/chat';
 import { RequestPaging } from '../types/index';
-import type { OutLinkSchema } from '@/types/mongoSchema';
-import type { ShareChatEditType } from '@/types/app';
 import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
+import { AdminUpdateFeedbackParams } from './request/chat';
 
 /**
  * 获取初始化聊天内容
@@ -27,20 +26,10 @@ export const delChatHistoryById = (chatId: string) => DELETE(`/chat/removeHistor
  */
 export const clearChatHistoryByAppId = (appId: string) => DELETE(`/chat/removeHistory`, { appId });
 
-/**
- * update history quote status
- */
-export const updateHistoryQuote = (params: {
-  chatId: string;
-  contentId: string;
-  quoteId: string;
-  sourceText: string;
-}) => PUT(`/chat/history/updateHistoryQuote`, params);
-
 /**
  * 删除一句对话
  */
-export const delChatRecordByIndex = (data: { chatId: string; contentId: string }) =>
+export const delChatRecordById = (data: { chatId: string; contentId: string }) =>
   DELETE(`/chat/delChatRecordByContentId`, data);
 
 /**
@@ -49,28 +38,8 @@ export const delChatRecordByIndex = (data: { chatId: string; contentId: string }
 export const putChatHistory = (data: UpdateHistoryProps) =>
   PUT('/chat/history/updateChatHistory', data);
 
-/**
- * 初始化分享聊天
- */
-export const initShareChatInfo = (data: { shareId: string }) =>
-  GET<InitShareChatResponse>(`/chat/shareChat/init`, data);
+export const userUpdateChatFeedback = (data: { chatItemId: string; userFeedback?: string }) =>
+  POST('/chat/feedback/userUpdate', data);
 
-/**
- * create a shareChat
- */
-export const createShareChat = (
-  data: ShareChatEditType & {
-    appId: string;
-  }
-) => POST<string>(`/chat/shareChat/create`, data);
-
-/**
- * get shareChat
- */
-export const getShareChatList = (appId: string) =>
-  GET<OutLinkSchema[]>(`/chat/shareChat/list`, { appId });
-
-/**
- * delete a  shareChat
- */
-export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);
+export const adminUpdateChatFeedback = (data: AdminUpdateFeedbackParams) =>
+  POST('/chat/feedback/adminUpdate', data);

client/src/api/core/dataset/file.d.ts

@@ -0,0 +1,8 @@
+import { RequestPaging } from '../../../types/index';
+
+export type GetFileListProps = RequestPaging & {
+  kbId: string;
+  searchText: string;
+};
+
+export type UpdateFileProps = { id: string; name?: string; datasetUsed?: boolean };

client/src/api/core/dataset/file.ts

@@ -0,0 +1,15 @@
+import { GET, POST, PUT, DELETE } from '@/api/request';
+import type { FileInfo, KbFileItemType } from '@/types/plugin';
+
+import type { GetFileListProps, UpdateFileProps } from './file.d';
+
+export const getDatasetFiles = (data: GetFileListProps) =>
+  POST<KbFileItemType[]>(`/core/dataset/file/list`, data);
+export const delDatasetFileById = (params: { fileId: string; kbId: string }) =>
+  DELETE(`/core/dataset/file/delById`, params);
+export const getFileInfoById = (fileId: string) =>
+  GET<FileInfo>(`/core/dataset/file/detail`, { fileId });
+export const delDatasetEmptyFiles = (kbId: string) =>
+  DELETE(`/core/dataset/file/delEmptyFiles`, { kbId });
+
+export const updateDatasetFile = (data: UpdateFileProps) => PUT(`/core/dataset/file/update`, data);

client/src/api/fetch.ts

@@ -2,11 +2,13 @@ import { sseResponseEventEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getErrText } from '@/utils/tools';
 import { parseStreamChunk, SSEParseData } from '@/utils/sse';
 import type { ChatHistoryItemResType } from '@/types/chat';
+import { StartChatFnProps } from '@/components/ChatBox';
+import { getToken } from '@/utils/user';
 
 interface StreamFetchProps {
   url?: string;
   data: Record<string, any>;
-  onMessage: (text: string) => void;
+  onMessage: StartChatFnProps['generatingMessage'];
   abortSignal: AbortController;
 }
 export const streamFetch = ({
@@ -23,11 +25,13 @@ export const streamFetch = ({
       const response = await window.fetch(url, {
         method: 'POST',
         headers: {
-          'Content-Type': 'application/json'
+          'Content-Type': 'application/json',
+          token: getToken()
         },
         signal: abortSignal.signal,
         body: JSON.stringify({
           ...data,
+          detail: true,
           stream: true
         })
       });
@@ -70,9 +74,15 @@ export const streamFetch = ({
             if (!eventName || !data) return;
 
             if (eventName === sseResponseEventEnum.answer && data !== '[DONE]') {
-              const answer: string = data?.choices?.[0].delta.content || '';
-              onMessage(answer);
+              const answer: string = data?.choices?.[0]?.delta?.content || '';
+              onMessage({ text: answer });
               responseText += answer;
+            } else if (
+              eventName === sseResponseEventEnum.moduleStatus &&
+              data?.name &&
+              data?.status
+            ) {
+              onMessage(data);
             } else if (
               eventName === sseResponseEventEnum.appStreamResponse &&
               Array.isArray(data)
@@ -90,7 +100,10 @@ export const streamFetch = ({
               responseData
             });
           }
-          reject(getErrText(err, '请求异常'));
+          reject({
+            responseText,
+            message: getErrText(err, '请求异常')
+          });
         }
       };
       read();

client/src/api/plugins/common.ts

@@ -0,0 +1,6 @@
+import { GET, POST, PUT, DELETE } from '../request';
+
+import type { FetchResultItem } from '@/types/plugin';
+
+export const fetchUrls = (urlList: string[]) =>
+  POST<FetchResultItem[]>(`/plugins/urlFetch`, { urlList });

client/src/api/plugins/kb.ts

@@ -1,6 +1,5 @@
 import { GET, POST, PUT, DELETE } from '../request';
-import type { KbItemType, KbListItemType } from '@/types/plugin';
-import { RequestPaging } from '@/types/index';
+import type { DatasetItemType, KbItemType, KbListItemType, KbPathItemType } from '@/types/plugin';
 import { TrainingModeEnum } from '@/constants/plugin';
 import {
   Props as PushDataProps,
@@ -10,46 +9,51 @@ 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;
-};
+import type { KbUpdateParams, CreateKbParams, GetKbDataListProps } from '../request/kb';
+import { QuoteItemType } from '@/types/chat';
+import { KbTypeEnum } from '@/constants/kb';
+import { getToken } from '@/utils/user';
+import download from 'downloadjs';
 
 /* knowledge base */
-export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);
+export const getKbList = (data: { parentId?: string; type?: `${KbTypeEnum}` }) =>
+  GET<KbListItemType[]>(`/plugins/kb/list`, data);
+export const getAllDataset = () => GET<KbListItemType[]>(`/plugins/kb/allDataset`);
+
+export const getKbPaths = (parentId?: string) =>
+  GET<KbPathItemType[]>('/plugins/kb/paths', { parentId });
 
 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 postCreateKb = (data: CreateKbParams) => 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 and download data
  */
-export const getExportDataList = (kbId: string) =>
-  GET<[string, string, string][]>(
-    `/plugins/kb/data/exportModelData`,
-    { kbId },
-    {
-      timeout: 600000
+export const exportDataset = (data: { kbId: string }) =>
+  fetch(`/api/plugins/kb/data/exportAll?kbId=${data.kbId}`, {
+    method: 'GET',
+    headers: {
+      token: getToken()
     }
-  );
+  })
+    .then(async (res) => {
+      if (!res.ok) {
+        const data = await res.json();
+        throw new Error(data?.message || 'Export failed');
+      }
+      return res.blob();
+    })
+    .then((blob) => download(blob, 'dataset.csv', 'text/csv'));
 
 /**
  * 获取模型正在拆分数据的数量
@@ -60,8 +64,11 @@ export const getTrainingData = (data: { kbId: string; init: boolean }) =>
     vectorListLen: number;
   }>(`/plugins/kb/data/getTrainingData`, data);
 
+/* get length of system training queue */
+export const getTrainingQueueLen = () => GET<number>(`/plugins/kb/data/getQueueLen`);
+
 export const getKbDataItemById = (dataId: string) =>
-  GET<KbDataItemType>(`/plugins/kb/data/getDataById`, { dataId });
+  GET<QuoteItemType>(`/plugins/kb/data/getDataById`, { dataId });
 
 /**
  * 直接push数据
@@ -69,6 +76,12 @@ export const getKbDataItemById = (dataId: string) =>
 export const postKbDataFromList = (data: PushDataProps) =>
   POST<PushDateResponse>(`/openapi/kb/pushData`, data);
 
+/**
+ * insert one data to dataset
+ */
+export const insertData2Kb = (data: { kbId: string; data: DatasetItemType }) =>
+  POST<string>(`/plugins/kb/data/insertData`, data);
+
 /**
  * 更新一条数据
  */

client/src/api/request.ts

@@ -1,11 +1,17 @@
-import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
-import { clearCookie } from '@/utils/user';
+import axios, {
+  Method,
+  InternalAxiosRequestConfig,
+  AxiosResponse,
+  AxiosProgressEvent
+} from 'axios';
+import { clearToken, getToken } from '@/utils/user';
 import { TOKEN_ERROR_CODE } from '@/service/errorCode';
 
 interface ConfigType {
   headers?: { [key: string]: string };
   hold?: boolean;
   timeout?: number;
+  onUploadProgress?: (progressEvent: AxiosProgressEvent) => void;
 }
 interface ResponseDataType {
   code: number;
@@ -18,7 +24,7 @@ interface ResponseDataType {
  */
 function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
   if (config.headers) {
-    // config.headers.Authorization = getToken();
+    config.headers.token = getToken();
   }
 
   return config;
@@ -57,7 +63,7 @@ function responseError(err: any) {
   }
   // 有报错响应
   if (err?.code in TOKEN_ERROR_CODE) {
-    clearCookie();
+    clearToken();
     window.location.replace(
       `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
     );

client/src/api/request/app.d.ts

@@ -0,0 +1,7 @@
+import { RequestPaging } from '@/types';
+
+export type GetAppChatLogsParams = RequestPaging & {
+  appId: string;
+  dateStart: Date;
+  dateEnd: Date;
+};

client/src/api/request/chat.d.ts

@@ -0,0 +1,6 @@
+export type AdminUpdateFeedbackParams = {
+  chatItemId: string;
+  kbId: string;
+  dataId: string;
+  content: string;
+};

client/src/api/request/kb.d.ts

@@ -0,0 +1,24 @@
+import { KbTypeEnum } from '@/constants/kb';
+import type { RequestPaging } from '@/types';
+
+export type KbUpdateParams = {
+  id: string;
+  parentId?: string;
+  tags?: string;
+  name?: string;
+  avatar?: string;
+};
+export type CreateKbParams = {
+  parentId?: string;
+  name: string;
+  tags: string[];
+  avatar: string;
+  vectorModel?: string;
+  type: `${KbTypeEnum}`;
+};
+
+export type GetKbDataListProps = RequestPaging & {
+  kbId: string;
+  searchText: string;
+  fileId: string;
+};

client/src/api/response/user.d.ts

@@ -2,6 +2,7 @@ import type { UserType } from '@/types/user';
 import type { PromotionRecordSchema } from '@/types/mongoSchema';
 export interface ResLogin {
   user: UserType;
+  token: string;
 }
 
 export interface PromotionRecordType {

client/src/api/service/plugins.ts

@@ -0,0 +1,8 @@
+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);
+    }
+  });

client/src/api/service/request.ts

@@ -0,0 +1,120 @@
+import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
+
+interface ConfigType {
+  headers?: { [key: string]: string };
+  hold?: boolean;
+  timeout?: number;
+}
+interface ResponseDataType {
+  code: number;
+  message: string;
+  data: any;
+}
+
+/**
+ * 请求开始
+ */
+function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
+  if (config.headers) {
+    config.headers.rootkey = process.env.ROOT_KEY;
+  }
+
+  return config;
+}
+
+/**
+ * 请求成功,检查请求头
+ */
+function responseSuccess(response: AxiosResponse<ResponseDataType>) {
+  return response;
+}
+/**
+ * 响应数据检查
+ */
+function checkRes(data: ResponseDataType) {
+  if (data === undefined) {
+    console.log('error->', data, 'data is empty');
+    return Promise.reject('服务器异常');
+  } else if (data?.code && (data.code < 200 || data.code >= 400)) {
+    return Promise.reject(data);
+  }
+  return data.data;
+}
+
+/**
+ * 响应错误
+ */
+function responseError(err: any) {
+  if (!err) {
+    return Promise.reject({ message: '未知错误' });
+  }
+  if (typeof err === 'string') {
+    return Promise.reject({ message: err });
+  }
+
+  if (err?.response?.data) {
+    return Promise.reject(err?.response?.data);
+  }
+  return Promise.reject(err);
+}
+
+/* 创建请求实例 */
+const instance = axios.create({
+  timeout: 60000, // 超时时间
+  headers: {
+    'content-type': 'application/json'
+  }
+});
+
+/* 请求拦截 */
+instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
+/* 响应拦截 */
+instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err));
+
+export function request(url: string, data: any, config: ConfigType, method: Method): any {
+  if (!global.systemEnv?.pluginBaseUrl) {
+    return Promise.reject('商业版插件加载中...');
+  }
+
+  /* 去空 */
+  for (const key in data) {
+    if (data[key] === null || data[key] === undefined) {
+      delete data[key];
+    }
+  }
+
+  return instance
+    .request({
+      baseURL: global.systemEnv.pluginBaseUrl,
+      url,
+      method,
+      data: ['POST', 'PUT'].includes(method) ? data : null,
+      params: !['POST', 'PUT'].includes(method) ? data : null,
+      ...config // 用户自定义配置，可以覆盖前面的配置
+    })
+    .then((res) => checkRes(res.data))
+    .catch((err) => responseError(err));
+}
+
+/**
+ * api请求方式
+ * @param {String} url
+ * @param {Any} params
+ * @param {Object} config
+ * @returns
+ */
+export function GET<T>(url: string, params = {}, config: ConfigType = {}): Promise<T> {
+  return request(url, params, config, 'GET');
+}
+
+export function POST<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
+  return request(url, data, config, 'POST');
+}
+
+export function PUT<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
+  return request(url, data, config, 'PUT');
+}
+
+export function DELETE<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
+  return request(url, data, config, 'DELETE');
+}

client/src/api/support/file.ts

@@ -0,0 +1,18 @@
+import { GET, POST } from '../request';
+
+import { AxiosProgressEvent } from 'axios';
+
+export const uploadImg = (base64Img: string) => POST<string>('/system/uploadImage', { base64Img });
+
+export const postUploadFiles = (
+  data: FormData,
+  onUploadProgress: (progressEvent: AxiosProgressEvent) => void
+) =>
+  POST<string[]>('/support/file/upload', data, {
+    onUploadProgress,
+    headers: {
+      'Content-Type': 'multipart/form-data; charset=utf-8'
+    }
+  });
+
+export const getFileViewUrl = (fileId: string) => GET<string>('/support/file/readUrl', { fileId });

client/src/api/support/outLink.ts

@@ -0,0 +1,34 @@
+import { GET, POST, DELETE } from '../request';
+import type { InitShareChatResponse } from '../response/chat';
+import type { OutLinkEditType } from '@/types/support/outLink';
+import type { OutLinkSchema } from '@/types/support/outLink';
+
+/**
+ * 初始化分享聊天
+ */
+export const initShareChatInfo = (data: { shareId: string }) =>
+  GET<InitShareChatResponse>(`/support/outLink/init`, data);
+
+/**
+ * create a shareChat
+ */
+export const createShareChat = (
+  data: OutLinkEditType & {
+    appId: string;
+    type: OutLinkSchema['type'];
+  }
+) => POST<string>(`/support/outLink/create`, data);
+
+export const putShareChat = (data: OutLinkEditType) =>
+  POST<string>(`/support/outLink/update`, data);
+
+/**
+ * get shareChat
+ */
+export const getShareChatList = (appId: string) =>
+  GET<OutLinkSchema[]>(`/support/outLink/list`, { appId });
+
+/**
+ * delete a  shareChat
+ */
+export const delShareChatById = (id: string) => DELETE(`/support/outLink/delete?id=${id}`);

client/src/api/system.ts

@@ -2,5 +2,3 @@ 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 });