update doc (#4460)

* update preview action

* update doc

* remove

* update

* schema

.github/gh-bot.yml

@@ -1,30 +0,0 @@
-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/workflows/docs-deploy-kubeconfig.yml

@@ -10,6 +10,13 @@ on:
 jobs:
   build-fastgpt-docs-images:
     runs-on: ubuntu-latest
+
+    permissions:
+      contents: read
+      packages: write
+      attestations: write
+      id-token: write
+
     steps:
       - name: Checkout
         uses: actions/checkout@v4
@@ -27,7 +34,6 @@ jobs:
         with:
           # list of Docker images to use as base name for tags
           images: |
-            ${{ secrets.DOCKER_HUB_NAME }}/fastgpt-docs
             ghcr.io/${{ github.repository_owner }}/fastgpt-docs
             registry.cn-hangzhou.aliyuncs.com/${{ secrets.ALI_HUB_USERNAME }}/fastgpt-docs
           tags: |
@@ -40,18 +46,12 @@ jobs:
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
 
-      - name: Login to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_HUB_NAME }}
-          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
-
       - name: Login to ghcr.io
         uses: docker/login-action@v3
         with:
           registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Login to Aliyun
         uses: docker/login-action@v3
@@ -70,6 +70,7 @@ jobs:
           labels: ${{ steps.meta.outputs.labels }}
     outputs:
       tags: ${{ steps.datetime.outputs.datetime }}
+
   update-docs-image:
     needs: build-fastgpt-docs-images
     runs-on: ubuntu-20.04

.github/workflows/docs-deploy-vercel.yml

@@ -20,6 +20,11 @@ jobs:
     # The type of runner that the job will run on
     runs-on: ubuntu-22.04
 
+    permissions:
+      contents: write
+    concurrency:
+      group: ${{ github.workflow }}-${{ github.ref }}
+
     # Job outputs
     outputs:
       docs: ${{ steps.filter.outputs.docs }}
@@ -71,7 +76,8 @@ jobs:
           working-directory: docSite/public
 
       - name: Deploy to GitHub Pages
-        uses: peaceiris/actions-gh-pages@v3
+        uses: peaceiris/actions-gh-pages@v4
+        if: github.ref == 'refs/heads/main'
         with:
-          github_token: ${{ secrets.GH_PAT }}
+          github_token: ${{ secrets.GITHUB_TOKEN }}
           publish_dir: docSite/public

.github/workflows/docs-preview.yml

@@ -1,7 +1,7 @@
 name: Preview FastGPT docs
 
 on:
-  pull_request_target:
+  pull_request:
     paths:
       - 'docSite/**'
   workflow_dispatch:
@@ -10,6 +10,12 @@ on:
 jobs:
   # This workflow contains jobs "deploy-production"
   deploy-preview:
+    permissions:
+      contents: read
+      packages: write
+      attestations: write
+      id-token: write
+      pull-requests: write
     # The environment this job references
     environment:
       name: Preview
@@ -32,6 +38,7 @@ jobs:
           repository: ${{ github.event.pull_request.head.repo.full_name }}
           submodules: recursive # Fetch submodules
           fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
+          token: ${{ secrets.GITHUB_TOKEN }}
 
       # Step 2 Detect changes to Docs Content
       - name: Detect changes in doc content
@@ -58,39 +65,38 @@ jobs:
       - name: Build
         run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs@6d0568e && hugo -v --minify
 
-      # Step 5 - Push our generated site to Vercel
-      - name: Deploy to Vercel
-        uses: amondnet/vercel-action@v25
-        id: vercel-action
+      - name: Test
+        run: ls ./docSite/public
+
+      # Step 5 - Push our generated site to Cloudflare
+      - name: Deploy to Cloudflare Pages
+        id: deploy
+        uses: cloudflare/wrangler-action@v3
         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
+          apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
+          accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
+          command: pages deploy ./docSite/public --project-name=fastgpt-doc
+          packageManager: npm
+
+      - name: Create deployment status comment
+        if: always()
         env:
-          GH_TOKEN: '${{ secrets.GH_PAT }}'
-          SEALOS_TYPE: 'pr_comment'
-          SEALOS_FILENAME: 'report.md'
-          SEALOS_REPLACE_TAG: 'DEFAULT_REPLACE_DEPLOY'
+          JOB_STATUS: ${{ job.status }}
+          PREVIEW_URL: ${{ steps.deploy.outputs.deployment-url }}
+        uses: actions/github-script@v6
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const success = process.env.JOB_STATUS === 'success';
+            const deploymentUrl = `${process.env.PREVIEW_URL}`;
+            const status = success ? '✅ Success' : '❌ Failed';
+            console.log(process.env.JOB_STATUS);
+
+            const commentBody = `**Deployment Status: ${status}**
+            ${success ? `🔗 Preview URL: ${deploymentUrl}` : ''}`;
+
+            await github.rest.issues.createComment({
+              ...context.repo,
+              issue_number: context.payload.pull_request.number,
+              body: commentBody
+            });

.github/workflows/docs-sync_imgs.yml

@@ -1,6 +1,6 @@
 name: Sync images
 on:
-  pull_request_target:
+  pull_request:
     branches:
       - main
     paths:
@@ -15,13 +15,6 @@ jobs:
   sync:
     runs-on: ubuntu-latest
     steps:
-      - name: Checkout
-        uses: actions/checkout@v3
-        if: ${{ (github.event_name == 'pull_request_target') }}
-        with:
-          ref: ${{ github.event.pull_request.head.ref }}
-          repository: ${{ github.event.pull_request.head.repo.full_name }}
-
       - name: Checkout
         uses: actions/checkout@v3
 
@@ -32,4 +25,4 @@ jobs:
           CONFIG_PATH: .github/sync_imgs.yml
           ORIGINAL_MESSAGE: true
           SKIP_PR: true
-          COMMIT_EACH_FILE: false
+          COMMIT_EACH_FILE: false

.github/workflows/fastgpt-build-image-personal.yml

@@ -9,6 +9,11 @@ on:
       - 'main'
 jobs:
   build-fastgpt-images:
+    permissions:
+      packages: write
+      contents: read
+      attestations: write
+      id-token: write
     runs-on: ubuntu-20.04
     if: github.repository != 'labring/FastGPT'
     steps:
@@ -32,7 +37,7 @@ jobs:
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          password: ${{ secrets.GITHUB_TOKEN }}
       - name: Set DOCKER_REPO_TAGGED based on branch or tag
         run: |
           echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV

.github/workflows/fastgpt-build-image.yml

@@ -9,6 +9,11 @@ on:
       - 'v*'
 jobs:
   build-fastgpt-images:
+    permissions:
+      packages: write
+      contents: read
+      attestations: write
+      id-token: write
     runs-on: ubuntu-20.04
     steps:
       # install env
@@ -39,7 +44,7 @@ jobs:
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
         uses: docker/login-action@v2
         with:
@@ -91,6 +96,11 @@ jobs:
           -t ${Docker_Hub_Latest} \
           .
   build-fastgpt-images-sub-route:
+    permissions:
+      packages: write
+      contents: read
+      attestations: write
+      id-token: write
     runs-on: ubuntu-20.04
     steps:
       # install env
@@ -121,7 +131,7 @@ jobs:
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
         uses: docker/login-action@v2
         with:
@@ -174,6 +184,11 @@ jobs:
           -t ${Docker_Hub_Latest} \
           .
   build-fastgpt-images-sub-route-gchat:
+    permissions:
+      packages: write
+      contents: read
+      attestations: write
+      id-token: write
     runs-on: ubuntu-20.04
     steps:
       # install env
@@ -204,7 +219,7 @@ jobs:
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
         uses: docker/login-action@v2
         with:

.github/workflows/fastgpt-preview-image.yml

@@ -5,6 +5,13 @@ on:
 
 jobs:
   preview-fastgpt-images:
+    permissions:
+      contents: read
+      packages: write
+      attestations: write
+      id-token: write
+      pull-requests: write
+
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout
@@ -12,8 +19,9 @@ jobs:
         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
+          token: ${{ secrets.GITHUB_TOKEN }}
+
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v2
         with:
@@ -25,15 +33,18 @@ jobs:
           key: ${{ runner.os }}-buildx-${{ github.sha }}
           restore-keys: |
             ${{ runner.os }}-buildx-
+
       - name: Login to GitHub Container Registry
         uses: docker/login-action@v2
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
       - name: Set DOCKER_REPO_TAGGED based on branch or tag
         run: |
           echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:${{ github.event.pull_request.head.sha }}" >> $GITHUB_ENV
+
       - name: Build image for PR
         env:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
@@ -48,20 +59,13 @@ jobs:
           --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
           .
-      # Add write md step after build
-      - name: Write md
-        run: |
-          echo "# 🤖 Generated by deploy action" > report.md
-          echo "📦 Preview Image: \`${DOCKER_REPO_TAGGED}\`" >> report.md
-          cat report.md
-
-      - name: Gh Rebot for Sealos
-        uses: labring/gh-rebot@v0.0.6
-        if: ${{ (github.event_name == 'pull_request_target') }}
+      - uses: actions/github-script@v7
         with:
-          version: v0.0.6
-        env:
-          GH_TOKEN: '${{ secrets.GH_PAT }}'
-          SEALOS_TYPE: 'pr_comment'
-          SEALOS_FILENAME: 'report.md'
-          SEALOS_REPLACE_TAG: 'DEFAULT_REPLACE_DEPLOY'
+          github-token: ${{secrets.GITHUB_TOKEN}}
+          script: |
+            github.rest.issues.createComment({
+              issue_number: context.issue.number,
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              body: 'Preview Image: `${{ env.DOCKER_REPO_TAGGED }}`'
+            })

.github/workflows/helm-release.yaml

@@ -8,6 +8,11 @@ on:
 
 jobs:
   helm:
+    permissions:
+      packages: write
+      contents: read
+      attestations: write
+      id-token: write
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout
@@ -20,7 +25,7 @@ jobs:
         run: echo "tag=$(git describe --tags)" >> $GITHUB_OUTPUT
       - name: Release Helm
         run: |
-          echo ${{ secrets.GH_PAT }} | helm registry login ghcr.io -u ${{ github.repository_owner }} --password-stdin
+          echo ${{ secrets.GITHUB_TOKEN }} | helm registry login ghcr.io -u ${{ github.repository_owner }} --password-stdin
           export APP_VERSION=${{ steps.vars.outputs.tag }}
           export HELM_VERSION=${{ steps.vars.outputs.tag }}
           export HELM_REPO=ghcr.io/${{ github.repository_owner }}

.github/workflows/sandbox-build-image.yml

@@ -8,6 +8,11 @@ on:
       - 'v*'
 jobs:
   build-fastgpt-sandbox-images:
+    permissions:
+      packages: write
+      contents: read
+      attestations: write
+      id-token: write
     runs-on: ubuntu-20.04
     steps:
       # install env
@@ -38,7 +43,7 @@ jobs:
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
-          password: ${{ secrets.GH_PAT }}
+          password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
         uses: docker/login-action@v2
         with:

deploy/docker/docker-compose-milvus.yml

@@ -110,19 +110,31 @@ services:
 
         # 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
         wait $$!
+  redis:
+    image: redis:7.2-alpine
+    container_name: redis
+    # ports:
+    # - 6379:6379
+    networks:
+      - fastgpt
+    restart: always
+    command: |
+      redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
+    volumes:
+      - ./redis/data:/data
 
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.1-fix2 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.1-fix2 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.3 # 阿里云
     networks:
       - fastgpt
     restart: always
   fastgpt:
     container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.9.1-fix2 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.1-fix2 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.9.3 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -157,6 +169,8 @@ services:
       # zilliz 连接参数
       - MILVUS_ADDRESS=http://milvusStandalone:19530
       - MILVUS_TOKEN=none
+      # Redis 地址
+      - REDIS_URL=redis://default:mypassword@redis:6379
       # sandbox 地址
       - SANDBOX_URL=http://sandbox:3000
       # 日志等级: debug, info, warn, error

deploy/docker/docker-compose-pgvector.yml

@@ -69,18 +69,31 @@ services:
         # 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
         wait $$!
 
+  redis:
+    image: redis:7.2-alpine
+    container_name: redis
+    # ports:
+    # - 6379:6379
+    networks:
+      - fastgpt
+    restart: always
+    command: |
+      redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
+    volumes:
+      - ./redis/data:/data
+
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.1-fix2 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.1-fix2 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.3 # 阿里云
     networks:
       - fastgpt
     restart: always
   fastgpt:
     container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.9.1-fix2 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.1-fix2 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.9.3 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -114,6 +127,8 @@ services:
       - MONGODB_URI=mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
       # pg 连接参数
       - PG_URL=postgresql://username:password@pg:5432/postgres
+      # Redis 连接参数
+      - REDIS_URL=redis://default:mypassword@redis:6379
       # sandbox 地址
       - SANDBOX_URL=http://sandbox:3000
       # 日志等级: debug, info, warn, error
@@ -132,7 +147,7 @@ services:
 
   # AI Proxy
   aiproxy:
-    image: ghcr.io/labring/aiproxy:v0.1.3
+    image: ghcr.io/labring/aiproxy:v0.1.5
     # image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.1.3 # 阿里云
     container_name: aiproxy
     restart: unless-stopped

deploy/docker/docker-compose-zilliz.yml

@@ -51,17 +51,30 @@ services:
 
         # 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
         wait $$!
+  redis:
+    image: redis:7.2-alpine
+    container_name: redis
+    # ports:
+    # - 6379:6379
+    networks:
+      - fastgpt
+    restart: always
+    command: |
+      redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
+    volumes:
+      - ./redis/data:/data
+
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.1-fix2 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.1-fix2 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.3 # 阿里云
     networks:
       - fastgpt
     restart: always
   fastgpt:
     container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.9.1-fix2 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.1-fix2 # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.9.3 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -92,6 +105,8 @@ services:
       - FILE_TOKEN_KEY=filetoken
       # MongoDB 连接参数. 用户名myusername,密码mypassword。
       - MONGODB_URI=mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
+      # Redis 连接参数
+      - REDIS_URI=redis://default:mypassword@redis:6379
       # zilliz 连接参数
       - MILVUS_ADDRESS=zilliz_cloud_address
       - MILVUS_TOKEN=zilliz_cloud_token

docSite/content/zh-cn/docs/development/openapi/chat.md

@@ -18,12 +18,14 @@ weight: 852
 {{% alert icon="🤖 " context="success" %}}
 * 该接口的 API Key 需使用`应用特定的 key`，否则会报错。  
 
+<!-- * 对话现在有`v1`和`v2`两个接口，可以按需使用，v2 自 4.9.4 版本新增，v1 接口同时不再维护 -->
+
 * 有些包调用时，`BaseUrl`需要添加`v1`路径，有些不需要，如果出现404情况，可补充`v1`重试。
 {{% /alert %}}
 
 ## 请求简易应用和工作流
 
-对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用，不过需要注意下面几个规则：
+`v1`对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用，不过需要注意下面几个规则：
 
 {{% alert icon="🤖 " context="success" %}}
 * 传入的`model`，`temperature`等参数字段均无效，这些字段由编排决定，不会根据 API 参数改变。
@@ -32,6 +34,100 @@ weight: 852
 
 ### 请求
 
+<!-- #### v2
+
+v1,v2 接口请求参数一致，仅请求地址不一样。
+
+{{< tabs tabTotal="3" >}}
+{{< tab tabName="基础请求示例" >}}
+{{< markdownify >}}
+
+```bash
+curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
+--header 'Authorization: fastgpt-xxxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "chatId": "my_chatId",
+    "stream": false,
+    "detail": false,
+    "responseChatItemId": "my_responseChatItemId",
+    "variables": {
+        "uid": "asdfadsfasfd2323",
+        "name": "张三"
+    },
+    "messages": [
+        {
+            "role": "user",
+            "content": "你是谁"
+        }
+    ]
+}'
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="图片/文件请求示例" >}}
+{{< markdownify >}}
+
+* 仅`messages`有部分区别，其他参数一致。
+* 目前不支持上传文件，需上传到自己的对象存储中，获取对应的文件链接。
+
+```bash
+curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
+--header 'Authorization: Bearer fastgpt-xxxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "chatId": "abcd",
+    "stream": false,
+    "messages": [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "text",
+                    "text": "导演是谁"
+                },
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": "图片链接"
+                    }
+                },
+                {
+                    "type": "file_url",
+                    "name": "文件名",
+                    "url": "文档链接，支持 txt md html word pdf ppt csv excel"
+                }
+            ]
+        }
+    ]
+}'
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="参数说明" >}}
+{{< markdownify >}}
+
+{{% alert context="info" %}}
+- headers.Authorization: Bearer {{apikey}}
+- chatId: string | undefined 。
+  - 为 `undefined` 时（不传入），不使用 FastGpt 提供的上下文功能，完全通过传入的 messages 构建上下文。
+  - 为`非空字符串`时，意味着使用 chatId 进行对话，自动从 FastGpt 数据库取历史记录，并使用 messages 数组最后一个内容作为用户问题，其余 message 会被忽略。请自行确保 chatId 唯一，长度小于250，通常可以是自己系统的对话框ID。
+- messages: 结构与 [GPT接口](https://platform.openai.com/docs/api-reference/chat/object) chat模式一致。
+- responseChatItemId: string | undefined 。如果传入，则会将该值作为本次对话的响应消息的 ID，FastGPT 会自动将该 ID 存入数据库。请确保，在当前`chatId`下，`responseChatItemId`是唯一的。
+- detail: 是否返回中间值（模块状态，响应的完整结果等），`stream模式`下会通过`event`进行区分，`非stream模式`结果保存在`responseData`中。
+- variables: 模块变量，一个对象，会替换模块中，输入框内容里的`{{key}}`
+{{% /alert %}}
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
+
+#### v1
+
 {{< tabs tabTotal="3" >}}
 {{< tab tabName="基础请求示例" >}}
 {{< markdownify >}}
@@ -65,7 +161,7 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
 {{< markdownify >}}
 
 * 仅`messages`有部分区别，其他参数一致。
-* 目前不支持上次文件，需上传到自己的对象存储中，获取对应的文件链接。
+* 目前不支持上传文件，需上传到自己的对象存储中，获取对应的文件链接。
 
 ```bash
 curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
@@ -116,14 +212,188 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
 - variables: 模块变量，一个对象，会替换模块中，输入框内容里的`{{key}}`
 {{% /alert %}}
 
-
-
 {{< /markdownify >}}
 {{< /tab >}}
 {{< /tabs >}}
 
 ### 响应
 
+#### v2
+
+v2 接口比起 v1，主要变变化在于：会在每个节点运行结束后及时返回 response，而不是等工作流结束后再统一返回。
+
+{{< tabs tabTotal="5" >}}
+{{< tab tabName="detail=false,stream=false 响应" >}}
+{{< markdownify >}}
+
+```json
+{
+    "id": "",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "我是一个人工智能助手，旨在回答问题和提供信息。如果你有任何问题或者需要帮助，随时问我！"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="detail=false,stream=true 响应" >}}
+{{< markdownify >}}
+
+
+```bash
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你好"},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"！"},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"今天"},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"过得怎么样？"},"index":0,"finish_reason":null}]}
+
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":null},"index":0,"finish_reason":"stop"}]}
+
+data: [DONE]
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="detail=true,stream=false 响应" >}}
+{{< markdownify >}}
+
+```json
+{
+    "responseData": [
+        {
+            "id": "iSol79OFrBH1I9kC",
+            "nodeId": "448745",
+            "moduleName": "common:core.module.template.work_start",
+            "moduleType": "workflowStart",
+            "runningTime": 0
+        },
+        {
+            "id": "t1T94WCy6Su3BK4V",
+            "nodeId": "fjLpE3XPegmoGtbU",
+            "moduleName": "AI 对话",
+            "moduleType": "chatNode",
+            "runningTime": 1.46,
+            "totalPoints": 0,
+            "model": "GPT-4o-mini",
+            "tokens": 64,
+            "inputTokens": 10,
+            "outputTokens": 54,
+            "query": "你是谁",
+            "reasoningText": "",
+            "historyPreview": [
+                {
+                    "obj": "Human",
+                    "value": "你是谁"
+                },
+                {
+                    "obj": "AI",
+                    "value": "我是一个人工智能助手，旨在帮助回答问题和提供信息。如果你有任何问题或需要帮助，请告诉我！"
+                }
+            ],
+            "contextTotalLen": 2
+        }
+    ],
+    "newVariables": {
+
+    },
+    "id": "",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "我是一个人工智能助手，旨在帮助回答问题和提供信息。如果你有任何问题或需要帮助，请告诉我！"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+
+{{< tab tabName="detail=true,stream=true 响应" >}}
+{{< markdownify >}}
+
+```bash
+event: flowNodeResponse
+data: {"id":"iYv2uA9rCWAtulWo","nodeId":"workflowStartNodeId","moduleName":"流程开始","moduleType":"workflowStart","runningTime":0}
+
+event: flowNodeStatus
+data: {"status":"running","name":"AI 对话"}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你好"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"！"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"今天"},"index":0,"finish_reason":null}]}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"过得怎么样？"},"index":0,"finish_reason":null}]}
+
+event: flowNodeResponse
+data: {"id":"pVzLBF7M3Ol4n7s6","nodeId":"ixe20AHN3jy74pKf","moduleName":"AI 对话","moduleType":"chatNode","runningTime":1.48,"totalPoints":0.0042,"model":"Qwen-plus","tokens":28,"inputTokens":8,"outputTokens":20,"query":"你好","reasoningText":"","historyPreview":[{"obj":"Human","value":"你好"},{"obj":"AI","value":"你好！今天过得怎么样？"}],"contextTotalLen":2}
+
+event: answer
+data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":null},"index":0,"finish_reason":"stop"}]}
+
+event: answer
+data: [DONE]
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="event值" >}}
+{{< markdownify >}}
+
+event取值：
+
+- answer: 返回给客户端的文本（最终会算作回答）
+- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
+- toolCall: 执行工具
+- toolParams: 工具参数
+- toolResponse: 工具返回
+- flowNodeStatus: 运行到的节点状态
+- flowNodeResponse: 单个节点详细响应
+- updateVariables: 更新变量
+- error: 报错
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}} 
+
+#### v1 -->
+
 {{< tabs tabTotal="5" >}}
 {{< tab tabName="detail=false,stream=false 响应" >}}
 {{< markdownify >}}
@@ -475,6 +745,8 @@ curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions'
 
 ### 请求示例
 
+#### v1
+
 ```bash
 curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
 --header 'Authorization: Bearer test-xxxxx' \
@@ -488,8 +760,25 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
 }'
 ```
 
+#### v2
+
+```bash
+curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
+--header 'Authorization: Bearer test-xxxxx' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+    "stream": false,
+    "chatId": "test",
+    "variables": {
+        "query":"你好"
+    }
+}'
+```
+
 ### 响应示例
 
+#### v1
+
 {{< tabs tabTotal="3" >}}
 
 {{< tab tabName="detail=true,stream=false 响应" >}}
@@ -649,6 +938,149 @@ event取值：
 {{< /tabs >}}
 
 
+#### v2
+
+{{< tabs tabTotal="3" >}}
+
+{{< tab tabName="detail=true,stream=false 响应" >}}
+{{< markdownify >}}
+
+* 插件的输出可以通过查找`responseData`中, `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
+* 流输出，仍可以通过`choices`进行获取。
+
+```json
+{
+    "responseData": [
+        {
+            "id": "bsH1ZdbYkz9iJwYa",
+            "nodeId": "pluginInput",
+            "moduleName": "workflow:template.plugin_start",
+            "moduleType": "pluginInput",
+            "runningTime": 0
+        },
+        {
+            "id": "zDgfqSPhbYZFHVIn",
+            "nodeId": "h4Gr4lJtFVQ6qI4c",
+            "moduleName": "AI 对话",
+            "moduleType": "chatNode",
+            "runningTime": 1.44,
+            "totalPoints": 0,
+            "model": "GPT-4o-mini",
+            "tokens": 34,
+            "inputTokens": 8,
+            "outputTokens": 26,
+            "query": "你好",
+            "reasoningText": "",
+            "historyPreview": [
+                {
+                    "obj": "Human",
+                    "value": "你好"
+                },
+                {
+                    "obj": "AI",
+                    "value": "你好！有什么我可以帮助你的吗？"
+                }
+            ],
+            "contextTotalLen": 2
+        },
+        {
+            "id": "uLLwKKRZvufXzgF4",
+            "nodeId": "pluginOutput",
+            "moduleName": "common:core.module.template.self_output",
+            "moduleType": "pluginOutput",
+            "runningTime": 0,
+            "totalPoints": 0,
+            "pluginOutput": {
+                "result": "你好！有什么我可以帮助你的吗？"
+            }
+        }
+    ],
+    "newVariables": {
+
+    },
+    "id": "test",
+    "model": "",
+    "usage": {
+        "prompt_tokens": 1,
+        "completion_tokens": 1,
+        "total_tokens": 1
+    },
+    "choices": [
+        {
+            "message": {
+                "role": "assistant",
+                "content": "你好！有什么我可以帮助你的吗？"
+            },
+            "finish_reason": "stop",
+            "index": 0
+        }
+    ]
+}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+
+{{< tab tabName="detail=true,stream=true 响应" >}}
+{{< markdownify >}}
+
+* 插件的输出可以通过获取`event=flowResponses`中的字符串，并将其反序列化后得到一个数组。同样的，查找 `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
+* 流输出，仍和对话接口一样获取。
+
+```bash
+data: {"event":"flowNodeResponse","data":"{\"id\":\"q8ablUOqHGgqLIRM\",\"nodeId\":\"pluginInput\",\"moduleName\":\"workflow:template.plugin_start\",\"moduleType\":\"pluginInput\",\"runningTime\":0}"}
+
+data: {"event":"flowNodeStatus","data":"{\"status\":\"running\",\"name\":\"AI 对话\"}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"你好\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"！\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"有什么\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"我\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"可以\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"帮助\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"你\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"的吗\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"？\"},\"index\":0,\"finish_reason\":null}]}"}
+
+data: {"event":"flowNodeResponse","data":"{\"id\":\"rqlXLUap8QeiN7Kf\",\"nodeId\":\"h4Gr4lJtFVQ6qI4c\",\"moduleName\":\"AI 对话\",\"moduleType\":\"chatNode\",\"runningTime\":1.79,\"totalPoints\":0,\"model\":\"GPT-4o-mini\",\"tokens\":137,\"inputTokens\":111,\"outputTokens\":26,\"query\":\"你好\",\"reasoningText\":\"\",\"historyPreview\":[{\"obj\":\"Human\",\"value\":\"[{\\\"renderTypeList\\\":[\\\"reference\\\"],\\\"selectedTypeInde\\n\\n...[hide 174 chars]...\\n\\ncanSelectImg\\\":true,\\\"required\\\":false,\\\"value\\\":\\\"你好\\\"}]\"},{\"obj\":\"AI\",\"value\":\"你好！有什么我可以帮助你的吗？\"},{\"obj\":\"Human\",\"value\":\"你好\"},{\"obj\":\"AI\",\"value\":\"你好！有什么我可以帮助你的吗？\"}],\"contextTotalLen\":4}"}
+
+data: {"event":"flowNodeResponse","data":"{\"id\":\"lHCpHI0MrM00HQlX\",\"nodeId\":\"pluginOutput\",\"moduleName\":\"common:core.module.template.self_output\",\"moduleType\":\"pluginOutput\",\"runningTime\":0,\"totalPoints\":0,\"pluginOutput\":{\"result\":\"你好！有什么我可以帮助你的吗？\"}}"}
+
+data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":null},\"index\":0,\"finish_reason\":\"stop\"}]}"}
+
+data: {"event":"answer","data":"[DONE]"}
+```
+
+{{< /markdownify >}}
+{{< /tab >}}
+
+{{< tab tabName="输出获取" >}}
+{{< markdownify >}}
+
+event取值：
+
+- answer: 返回给客户端的文本（最终会算作回答）
+- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
+- toolCall: 执行工具
+- toolParams: 工具参数
+- toolResponse: 工具返回
+- flowNodeStatus: 运行到的节点状态
+- flowNodeResponse: 单个节点详细响应
+- updateVariables: 更新变量
+- error: 报错
+
+{{< /markdownify >}}
+{{< /tab >}}
+{{< /tabs >}}
 
 # 对话 CRUD
 

docSite/content/zh-cn/docs/development/upgrading/491.md

@@ -39,7 +39,7 @@ curl --location --request POST 'https://{{host}}/api/admin/initv491' \
 3. API 知识库支持 PDF 增强解析。
 4. 邀请团队成员，改为邀请链接模式。
 5. 支持混合检索权重设置。
-6. 支持重排模型选择和权重设置，同时调整了知识库搜索权重计算方式，改成 搜索权重 + 重排权重，而不是向量检索权重+全文检索权重+重排权重。
+6. 支持重排模型选择和权重设置，同时调整了知识库搜索权重计算方式，改成 搜索权重 + 重排权重，而不是向量检索权重+全文检索权重+重排权重。会对检索结果有一定影响，可以通过调整相关权重来进行数据适配。
 
 ## ⚙️ 优化
 

docSite/content/zh-cn/docs/development/upgrading/492.md

@@ -1,5 +1,5 @@
 ---
-title: 'V4.9.2(进行中)'
+title: 'V4.9.2'
 description: 'FastGPT V4.9.2 更新说明'
 icon: 'upgrade'
 draft: false
@@ -8,6 +8,8 @@ weight: 798
 ---
 ## 更新指南
 
+可直接升级v4.9.3，v4.9.2存在一个工作流数据类型转化错误。
+
 ### 1. 做好数据库备份
 
 ### 2. SSO 迁移

docSite/content/zh-cn/docs/development/upgrading/493.md

@@ -0,0 +1,29 @@
+---
+title: 'V4.9.3'
+description: 'FastGPT V4.9.3 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 797
+---
+
+## 更新指南
+
+### 1. 做好数据库备份
+
+### 2. 更新镜像
+
+- 更新 FastGPT 镜像 tag: v4.9.3
+- 更新 FastGPT 商业版镜像 tag: v4.9.3
+- Sandbox 镜像tag: v4.9.3
+- AIProxy 镜像tag: v0.1.5
+
+
+## 🚀 新增内容
+
+1. 工作流 debug 模式支持交互节点。
+2. 代码运行支持 Python3 代码。
+
+## 🐛 修复
+
+1. 工作流格式转化异常。

docSite/content/zh-cn/docs/development/upgrading/494.md

@@ -0,0 +1,59 @@
+---
+title: 'V4.9.4(进行中)'
+description: 'FastGPT V4.9.4 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 796
+---
+
+## 升级指南
+
+### 1. 做好数据备份
+
+### 1. 安装 Redis
+
+* docker 部署的用户，参考最新的 `docker-compose.yml` 文件增加 Redis 配置。增加一个 redis 容器，并配置`fastgpt`,`fastgpt-pro`的环境变量，增加 `REDIS_URL` 环境变量。
+* Sealos 部署的用户，在数据库里新建一个`redis`数据库，并复制`内网地址的 connection` 作为 `redis` 的链接串。然后配置`fastgpt`,`fastgpt-pro`的环境变量，增加 `REDIS_URL` 环境变量。
+
+| | | |
+| --- | --- |  --- |
+| ![](/imgs/sealos-redis1.png) | ![](/imgs/sealos-redis2.png) |  ![](/imgs/sealos-redis3.png) |
+
+### 2. 更新镜像 tag
+
+
+### 3. 执行升级脚本
+
+该脚本仅需商业版用户执行。
+
+从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 域名**。
+
+```bash
+curl --location --request POST 'https://{{host}}/api/admin/initv494' \
+--header 'rootkey: {{rootkey}}' \
+--header 'Content-Type: application/json'
+```
+
+**脚本功能**
+
+1. 更新站点同步定时器
+
+## 🚀 新增内容
+
+1. 集合数据训练状态展示
+2. SMTP 发送邮件插件
+3. BullMQ 消息队列。
+4. 利用 redis 进行部分数据缓存。
+5. 站点同步支持配置训练参数。
+6. AI 对话/工具调用，增加返回模型 finish_reason 字段。
+
+## ⚙️ 优化
+
+1. Admin 模板渲染调整。
+2. 支持环境变量配置对话文件过期时间。
+3. MongoDB log 库可独立部署。
+
+## 🐛 修复
+
+1. 搜索应用/知识库时，无法点击目录进入下一层。

docSite/content/zh-cn/docs/guide/DialogBoxes/quoteList.md

@@ -0,0 +1,88 @@
+---
+title: '知识库引用分块阅读器'
+description: 'FastGPT 分块阅读器功能介绍'
+icon: 'description'
+draft: false
+toc: true
+weight: 480
+---
+在企业 AI 应用落地过程中，文档知识引用的精确性和透明度一直是用户关注的焦点。FastGPT 4.9.1 版本带来的知识库分块阅读器，巧妙解决了这一痛点，让 AI 引用不再是"黑盒"。
+
+# 为什么需要分块阅读器？
+
+传统的 AI 对话中，当模型引用企业知识库内容时，用户往往只能看到被引用的片段，无法获取完整语境，这给内容验证和深入理解带来了挑战。分块阅读器的出现，让用户可以在对话中直接查看引用内容的完整文档，并精确定位到引用位置，实现了引用的"可解释性"。
+
+## 传统引用体验的局限
+
+以往在知识库中上传文稿后，当我们在工作流中输入问题时，传统的引用方式只会展示引用到的分块，无法确认分块在文章中的上下文：
+
+| 问题 | 引用 |
+| --- | --- |
+| ![](/imgs/chunkReader1.png) | ![](/imgs/chunkReader2.jpg) |
+
+## FastGPT 分块阅读器：精准定位，无缝阅读
+
+而在 FastGPT 全新的分块式阅读器中，同样的知识库内容和问题，呈现方式发生了质的飞跃
+
+![](/imgs/chunkReader4.jpg) 
+
+当 AI 引用知识库内容时，用户只需点击引用链接，即可打开一个浮窗，呈现完整的原文内容，并通过醒目的高亮标记精确显示引用的文本片段。这既保证了回答的可溯源性，又提供了便捷的原文查阅体验。
+
+# 核心功能
+
+## 全文展示与定位
+
+"分块阅读器" 让用户能直观查看AI回答引用的知识来源。
+
+在对话界面中，当 AI 引用了知识库内容，系统会在回复下方展示出处信息。用户只需点击这些引用链接，即可打开一个优雅的浮窗，呈现完整的原文内容，并通过醒目的高亮标记精确显示 AI 引用的文本片段。
+
+这一设计既保证了回答的可溯源性，又提供了便捷的原文查阅体验，让用户能轻松验证AI回答的准确性和相关上下文。
+
+![](/imgs/chunkReader3.webp) 
+
+
+## 便捷引用导航
+
+分块阅读器右上角设计了简洁实用的导航控制，用户可以通过这对按钮轻松在多个引用间切换浏览。导航区还直观显示当前查看的引用序号及总引用数量（如 "7/10"），帮助用户随时了解浏览进度和引用内容的整体规模。
+
+![](imgs/chunkReader5.jpg)
+
+## 引用质量评分
+
+每条引用内容旁边都配有智能评分标签，直观展示该引用在所有知识片段中的相关性排名。用户只需将鼠标悬停在评分标签上，即可查看完整的评分详情，了解这段引用内容为何被AI选中以及其相关性的具体构成。
+
+![](imgs/chunkReader6.png)
+
+
+## 文档内容一键导出
+
+分块阅读器贴心配备了内容导出功能，让有效信息不再流失。只要用户拥有相应知识库的阅读权限，便可通过简单点击将引用涉及的全文直接保存到本地设备。
+
+![](imgs/chunkReader7.jpg)
+
+# 进阶特性
+
+## 灵活的可见度控制
+
+FastGPT提供灵活的引用可见度设置，让知识共享既开放又安全。以免登录链接为例，管理员可精确控制外部访问者能看到的信息范围。
+
+当设置为"仅引用内容可见"时，外部用户点击引用链接将只能查看 AI 引用的特定文本片段，而非完整原文档。如图所示，分块阅读器此时智能调整显示模式，仅呈现相关引用内容。
+
+|  |  |
+| --- | --- |
+| ![](/imgs/chunkReader8.png) | ![](/imgs/chunkReader9.jpg) |
+
+## 即时标注优化
+
+在浏览过程中，授权用户可以直接对引用内容进行即时标注和修正，系统会智能处理这些更新而不打断当前的对话体验。所有修改过的内容会通过醒目的"已更新"标签清晰标识，既保证了引用的准确性，又维持了对话历史的完整性。
+
+这一无缝的知识优化流程特别适合团队协作场景，让知识库能在实际使用过程中持续进化，确保AI回答始终基于最新、最准确的信息源。
+
+## 智能文档性能优化
+
+面对现实业务中可能包含成千上万分块的超长文档，FastGPT采用了先进的性能优化策略，确保分块阅读器始终保持流畅响应。
+
+系统根据引用相关性排序和数据库索引进行智能加载管理，实现了"按需渲染"机制——根据索引排序和数据库 id，只有当用户实际需要查看的内容才会被加载到内存中。这意味着无论是快速跳转到特定引用，还是自然滚动浏览文档，都能获得丝滑的用户体验，不会因为文档体积庞大而出现卡顿或延迟。
+
+这一技术优化使FastGPT能够轻松应对企业级的大规模知识库场景，让即使是包含海量信息的专业文档也能高效展示和查阅。
+

docSite/content/zh-cn/docs/guide/admin/sso.md

@@ -61,11 +61,12 @@ FastGPT-SSO-Service 是为了聚合不同来源的 SSO 和成员同步接口，
 
 #### 1. 配置环境变量
 
-环境变量中的 `EXTERNAL_USER_SERVICE_BASE_URL` 为内网地址，例如上述例子中的配置，环境变量应该设置为
+环境变量中的 `EXTERNAL_USER_SYSTEM_BASE_URL` 为内网地址，例如上述例子中的配置，环境变量应该设置为
 
 ```yaml
-EXTERNAL_USER_SERVICE_BASE_URL=http://fastgpt-sso:3000
-EXTERNAL_USER_SERVICE_AUTH_TOKEN=xxxxx
+env:
+   - EXTERNAL_USER_SYSTEM_BASE_URL=http://fastgpt-sso:3000
+   - EXTERNAL_USER_SYSTEM_AUTH_TOKEN=xxxxx
 ```
 
 #### 2. 在商业版后台配置按钮文字，图标等。
@@ -89,7 +90,8 @@ EXTERNAL_USER_SERVICE_AUTH_TOKEN=xxxxx
 设置 fastgpt-pro 环境变量则可开启自动成员同步
 
 ```bash
-SYNC_MEMBER_CRON="0 0 * * *" # Cron 表达式，每天 0 点执行
+env:
+   - "SYNC_MEMBER_CRON=0 0 * * *" # Cron 表达式，每天 0 点执行
 ```
 
 ## 内置的通用协议/IM 配置示例

docSite/content/zh-cn/docs/intro.md

@@ -7,7 +7,7 @@ toc: true
 weight: -10
 ---
 
-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！
+FastGPT 是一个AI Agent 构建平台，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，从而实现复杂的应用场景！t
 
 {{% alert icon="🤖 " context="success" %}}
 FastGPT 在线使用：[https://tryfastgpt.ai](https://tryfastgpt.ai)

env.d.ts

@@ -0,0 +1,40 @@
+declare global {
+  namespace NodeJS {
+    interface ProcessEnv {
+      LOG_DEPTH: string;
+      DEFAULT_ROOT_PSW: string;
+      DB_MAX_LINK: string;
+      TOKEN_KEY: string;
+      FILE_TOKEN_KEY: string;
+      ROOT_KEY: string;
+      OPENAI_BASE_URL: string;
+      CHAT_API_KEY: string;
+      AIPROXY_API_ENDPOINT: string;
+      AIPROXY_API_TOKEN: string;
+      MULTIPLE_DATA_TO_BASE64: string;
+      MONGODB_URI: string;
+      MONGODB_LOG_URI?: string;
+      PG_URL: string;
+      OCEANBASE_URL: string;
+      MILVUS_ADDRESS: string;
+      MILVUS_TOKEN: string;
+      SANDBOX_URL: string;
+      PRO_URL: string;
+      FE_DOMAIN: string;
+      FILE_DOMAIN: string;
+      NEXT_PUBLIC_BASE_URL: string;
+      LOG_LEVEL: string;
+      STORE_LOG_LEVEL: string;
+      USE_IP_LIMIT: string;
+      WORKFLOW_MAX_RUN_TIMES: string;
+      WORKFLOW_MAX_LOOP_TIMES: string;
+      CHECK_INTERNAL_IP: string;
+      CHAT_LOG_URL: string;
+      CHAT_LOG_INTERVAL: string;
+      CHAT_LOG_SOURCE_ID_PREFIX: string;
+      ALLOWED_ORIGINS: string;
+    }
+  }
+}
+
+export {};

packages/global/common/system/types/index.d.ts

@@ -118,11 +118,12 @@ export type SystemEnvType = {
   oneapiUrl?: string;
   chatApiKey?: string;
 
-  customPdfParse?: {
-    url?: string;
-    key?: string;
-
-    doc2xKey?: string;
-    price?: number; // n points/1 page
-  };
+  customPdfParse?: customPdfParseType;
+};
+
+export type customPdfParseType = {
+  url?: string;
+  key?: string;
+  doc2xKey?: string;
+  price?: number;
 };

packages/global/core/ai/constants.ts

@@ -1,3 +1,5 @@
+import { i18nT } from '../../../web/i18n/utils';
+
 export enum ChatCompletionRequestMessageRoleEnum {
   'System' = 'system',
   'User' = 'user',
@@ -28,3 +30,13 @@ export enum EmbeddingTypeEnm {
   query = 'query',
   db = 'db'
 }
+
+export const completionFinishReasonMap = {
+  close: i18nT('chat:completion_finish_close'),
+  stop: i18nT('chat:completion_finish_stop'),
+  length: i18nT('chat:completion_finish_length'),
+  tool_calls: i18nT('chat:completion_finish_tool_calls'),
+  content_filter: i18nT('chat:completion_finish_content_filter'),
+  function_call: i18nT('chat:completion_finish_function_call'),
+  null: i18nT('chat:completion_finish_null')
+};

packages/global/core/ai/type.d.ts

@@ -73,6 +73,15 @@ export type ChatCompletionMessageFunctionCall =
 export type StreamChatType = Stream<openai.Chat.Completions.ChatCompletionChunk>;
 export type UnStreamChatType = openai.Chat.Completions.ChatCompletion;
 
+export type CompletionFinishReason =
+  | 'close'
+  | 'stop'
+  | 'length'
+  | 'tool_calls'
+  | 'content_filter'
+  | 'function_call'
+  | null;
+
 export default openai;
 export * from 'openai';
 

packages/global/core/dataset/api.d.ts

@@ -15,7 +15,6 @@ export type DatasetUpdateBody = {
   name?: string;
   avatar?: string;
   intro?: string;
-  status?: DatasetSchemaType['status'];
 
   agentModel?: string;
   vlmModel?: string;
@@ -26,6 +25,7 @@ export type DatasetUpdateBody = {
   apiServer?: DatasetSchemaType['apiServer'];
   yuqueServer?: DatasetSchemaType['yuqueServer'];
   feishuServer?: DatasetSchemaType['feishuServer'];
+  chunkSettings?: DatasetSchemaType['chunkSettings'];
 
   // sync schedule
   autoSync?: boolean;
@@ -141,7 +141,6 @@ export type PushDatasetDataChunkProps = {
 
 export type PostWebsiteSyncParams = {
   datasetId: string;
-  billId: string;
 };
 
 export type PushDatasetDataProps = {

packages/global/core/dataset/constants.ts

@@ -50,7 +50,8 @@ export const DatasetTypeMap = {
 
 export enum DatasetStatusEnum {
   active = 'active',
-  syncing = 'syncing'
+  syncing = 'syncing',
+  waiting = 'waiting'
 }
 export const DatasetStatusMap = {
   [DatasetStatusEnum.active]: {
@@ -58,6 +59,9 @@ export const DatasetStatusMap = {
   },
   [DatasetStatusEnum.syncing]: {
     label: i18nT('common:core.dataset.status.syncing')
+  },
+  [DatasetStatusEnum.waiting]: {
+    label: i18nT('common:core.dataset.status.waiting')
   }
 };
 

packages/global/core/dataset/type.d.ts

@@ -17,6 +17,20 @@ import { SourceMemberType } from 'support/user/type';
 import { DatasetDataIndexTypeEnum } from './data/constants';
 import { ChunkSettingModeEnum } from './constants';
 
+export type ChunkSettingsType = {
+  trainingType: DatasetCollectionDataProcessModeEnum;
+  autoIndexes?: boolean;
+  imageIndex?: boolean;
+
+  chunkSettingMode?: ChunkSettingModeEnum;
+  chunkSplitMode?: DataChunkSplitModeEnum;
+
+  chunkSize?: number;
+  indexSize?: number;
+  chunkSplitter?: string;
+  qaPrompt?: string;
+};
+
 export type DatasetSchemaType = {
   _id: string;
   parentId?: string;
@@ -29,7 +43,6 @@ export type DatasetSchemaType = {
   name: string;
   intro: string;
   type: `${DatasetTypeEnum}`;
-  status: `${DatasetStatusEnum}`;
 
   vectorModel: string;
   agentModel: string;
@@ -39,14 +52,16 @@ export type DatasetSchemaType = {
     url: string;
     selector: string;
   };
+
+  chunkSettings?: ChunkSettingsType;
+
   inheritPermission: boolean;
   apiServer?: APIFileServer;
   feishuServer?: FeishuServer;
   yuqueServer?: YuqueServer;
 
-  autoSync?: boolean;
-
   // abandon
+  autoSync?: boolean;
   externalReadUrl?: string;
   defaultPermission?: number;
 };
@@ -163,6 +178,7 @@ export type DatasetTrainingSchemaType = {
   weight: number;
   indexes: Omit<DatasetDataIndexItemType, 'dataId'>[];
   retryCount: number;
+  errorMsg?: string;
 };
 
 export type CollectionWithDatasetType = DatasetCollectionSchemaType & {
@@ -192,6 +208,7 @@ export type DatasetListItemType = {
 };
 
 export type DatasetItemType = Omit<DatasetSchemaType, 'vectorModel' | 'agentModel' | 'vlmModel'> & {
+  status: `${DatasetStatusEnum}`;
   vectorModel: EmbeddingModelItemType;
   agentModel: LLMModelItemType;
   vlmModel?: LLMModelItemType;
@@ -216,6 +233,7 @@ export type DatasetCollectionItemType = CollectionWithDatasetType & {
   file?: DatasetFileSchema;
   permission: DatasetPermission;
   indexAmount: number;
+  errorCount?: number;
 };
 
 /* ================= data ===================== */

packages/global/core/workflow/runtime/constants.ts

@@ -5,6 +5,7 @@ export enum SseResponseEventEnum {
   answer = 'answer', // animation stream
   fastAnswer = 'fastAnswer', // direct answer text, not animation
   flowNodeStatus = 'flowNodeStatus', // update node status
+  flowNodeResponse = 'flowNodeResponse', // node response
 
   toolCall = 'toolCall', // tool start
   toolParams = 'toolParams', // tool params return

packages/global/core/workflow/runtime/type.d.ts

@@ -22,6 +22,7 @@ import { UserSelectOptionType } from '../template/system/userSelect/type';
 import { WorkflowResponseType } from '../../../../service/core/workflow/dispatch/type';
 import { AiChatQuoteRoleType } from '../template/system/aiChat/type';
 import { LafAccountType, OpenaiAccountType } from '../../../support/user/team/type';
+import { CompletionFinishReason } from '../../ai/type';
 
 export type ExternalProviderType = {
   openaiAccount?: OpenaiAccountType;
@@ -40,6 +41,7 @@ export type ChatDispatchProps = {
     id: string; // May be the id of the system plug-in (cannot be used directly to look up the table)
     teamId: string;
     tmbId: string; // App tmbId
+    isChildApp?: boolean;
   };
   runningUserInfo: {
     teamId: string;
@@ -58,6 +60,7 @@ export type ChatDispatchProps = {
   isToolCall?: boolean;
   workflowStreamResponse?: WorkflowResponseType;
   workflowDispatchDeep?: number;
+  version?: 'v1' | 'v2';
 };
 
 export type ModuleDispatchProps<T> = ChatDispatchProps & {
@@ -128,6 +131,7 @@ export type DispatchNodeResponseType = {
     obj: `${ChatRoleEnum}`;
     value: string;
   }[]; // completion context array. history will slice
+  finishReason?: CompletionFinishReason;
 
   // dataset search
   similarity?: number;

packages/global/core/workflow/runtime/utils.ts

@@ -66,7 +66,7 @@ export const getLastInteractiveValue = (histories: ChatItemType[]) => {
 };
 
 export const initWorkflowEdgeStatus = (
-  edges: StoreEdgeItemType[],
+  edges: StoreEdgeItemType[] | RuntimeEdgeItemType[],
   histories?: ChatItemType[]
 ): RuntimeEdgeItemType[] => {
   // If there is a history, use the last interactive value

packages/global/package.json

@@ -10,7 +10,7 @@
     "js-yaml": "^4.1.0",
     "jschardet": "3.1.1",
     "nanoid": "^5.1.3",
-    "next": "14.2.25",
+    "next": "14.2.26",
     "openai": "4.61.0",
     "openapi-types": "^12.1.3",
     "json5": "^2.2.3",

packages/plugins/package.json

@@ -5,6 +5,7 @@
   "dependencies": {
     "cheerio": "1.0.0-rc.12",
     "@types/pg": "^8.6.6",
+    "@types/nodemailer": "^6.4.17",
     "axios": "^1.8.2",
     "duck-duck-scrape": "^2.2.5",
     "echarts": "5.4.1",
@@ -13,6 +14,7 @@
     "mssql": "^11.0.1",
     "mysql2": "^3.11.3",
     "json5": "^2.2.3",
+    "nodemailer": "^6.10.0",
     "pg": "^8.10.0",
     "wikijs": "^6.4.1"
   },

packages/plugins/register.ts

@@ -29,7 +29,8 @@ const packagePluginList = [
   'databaseConnection',
   'Doc2X',
   'Doc2X/PDF2text',
-  'searchXNG'
+  'searchXNG',
+  'smtpEmail'
 ];
 
 export const list = [...staticPluginList, ...packagePluginList];

packages/plugins/src/databaseConnection/index.ts

@@ -34,7 +34,8 @@ const main = async ({
         port: parseInt(port, 10),
         database: databaseName,
         user,
-        password
+        password,
+        connectionTimeoutMillis: 30000
       });
 
       await client.connect();
@@ -47,7 +48,8 @@ const main = async ({
         port: parseInt(port, 10),
         database: databaseName,
         user,
-        password
+        password,
+        connectTimeout: 30000
       });
 
       const [rows] = await connection.execute(sql);

packages/plugins/src/smtpEmail/index.ts

@@ -0,0 +1,122 @@
+import { getErrText } from '@fastgpt/global/common/error/utils';
+import nodemailer from 'nodemailer';
+
+interface Props {
+  // SMTP配置
+  smtpHost: string;
+  smtpPort: string;
+  SSL: boolean;
+  smtpUser: string;
+  smtpPass: string;
+  fromName?: string;
+  // 邮件参数
+  to: string;
+  subject: string;
+  content: string;
+  cc?: string;
+  bcc?: string;
+  attachments?: string;
+}
+
+interface Response {
+  success: boolean;
+  messageId?: string;
+  error?: string;
+}
+
+const validateEmail = (email: string) => {
+  const regex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
+  return regex.test(email);
+};
+
+const validateEmails = (emails: string) => {
+  return emails.split(',').every((email) => validateEmail(email.trim()));
+};
+
+const main = async ({
+  smtpHost,
+  smtpPort,
+  SSL,
+  smtpUser,
+  smtpPass,
+  fromName,
+  to,
+  subject,
+  content,
+  cc,
+  bcc,
+  attachments
+}: Props): Promise<Response> => {
+  try {
+    // 验证SMTP配置
+    if (!smtpHost || !smtpPort || !smtpUser || !smtpPass) {
+      throw new Error('Incomplete SMTP configuration');
+    }
+
+    // 验证必填参数
+    if (!to || !subject || !content) {
+      throw new Error('Recipient, subject, and content are required');
+    }
+
+    // 验证邮箱格式
+    if (!validateEmails(to)) {
+      throw new Error('Invalid recipient email format');
+    }
+    if (cc && !validateEmails(cc)) {
+      throw new Error('Invalid CC email format');
+    }
+    if (bcc && !validateEmails(bcc)) {
+      throw new Error('Invalid BCC email format');
+    }
+
+    // 创建SMTP传输对象
+    const transporter = nodemailer.createTransport({
+      host: smtpHost,
+      port: Number(smtpPort),
+      secure: SSL === true,
+      auth: {
+        user: smtpUser,
+        pass: smtpPass
+      }
+    });
+
+    let attachmentsArray = [];
+    try {
+      attachmentsArray = JSON.parse(attachments || '[]');
+    } catch (error) {
+      throw new Error('Attachment format parsing error, please check attachment configuration');
+    }
+
+    // 发送邮件
+    const info = await transporter.sendMail({
+      from: `"${fromName || 'FastGPT'}" <${smtpUser}>`,
+      to: to
+        .split(',')
+        .map((email) => email.trim())
+        .join(','),
+      cc: cc
+        ?.split(',')
+        .map((email) => email.trim())
+        .join(','),
+      bcc: bcc
+        ?.split(',')
+        .map((email) => email.trim())
+        .join(','),
+      subject,
+      html: content,
+      attachments: attachmentsArray || []
+    });
+
+    return {
+      success: true,
+      messageId: info.messageId
+    };
+  } catch (error: any) {
+    return {
+      success: false,
+      error: getErrText(error)
+    };
+  }
+};
+
+export default main;

packages/plugins/src/smtpEmail/template.json

@@ -0,0 +1,651 @@
+{
+  "author": "cloudpense",
+  "version": "1.0.0",
+  "name": "Email 邮件发送",
+  "avatar": "plugins/email",
+  "intro": "通过SMTP协议发送电子邮件(nodemailer)",
+  "showStatus": true,
+  "weight": 10,
+  "isTool": true,
+  "templateType": "tools",
+
+  "workflow": {
+    "nodes": [
+      {
+        "nodeId": "pluginInput",
+        "name": "workflow:template.plugin_start",
+        "intro": "workflow:intro_plugin_input",
+        "avatar": "core/workflow/template/workflowStart",
+        "flowNodeType": "pluginInput",
+        "showStatus": false,
+        "position": {
+          "x": 595.3456736313964,
+          "y": -323.02524442647456
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "smtpHost",
+            "label": "smtpHost",
+            "description": "",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true,
+            "customInputConfig": {
+              "selectValueTypeList": ["string"]
+            }
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "smtpPort",
+            "label": "smtpPort",
+            "description": "SMTP端口",
+            "defaultValue": "465",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true
+          },
+          {
+            "renderTypeList": ["select", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "SSL",
+            "label": "SSL",
+            "description": "SSL",
+            "defaultValue": "true",
+            "list": [
+              {
+                "label": "true",
+                "value": "true"
+              },
+              {
+                "label": "false",
+                "value": "false"
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "smtpUser",
+            "label": "smtpUser",
+            "description": "SMTP用户名, 邮箱账号",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "smtpPass",
+            "label": "smtpPass",
+            "description": "邮箱密码或授权码",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "fromName",
+            "label": "fromName",
+            "description": "显示的发件人名称",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "to",
+            "label": "to",
+            "description": "请输入收件人邮箱，多个邮箱用逗号分隔",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true,
+            "toolDescription": "请输入收件人邮箱，多个邮箱用逗号分隔"
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "subject",
+            "label": "subject",
+            "description": "请输入邮件主题",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true,
+            "toolDescription": "请输入邮件主题"
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "content",
+            "label": "content",
+            "description": "请输入邮件内容，支持HTML格式",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": true,
+            "toolDescription": "请输入邮件内容，支持HTML格式"
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "cc",
+            "label": "cc",
+            "description": "请输入抄送邮箱，多个邮箱用逗号分隔",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": false,
+            "toolDescription": "请输入抄送邮箱，多个邮箱用逗号分隔"
+          },
+          {
+            "renderTypeList": ["input", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "bcc",
+            "label": "bcc",
+            "description": "请输入密送邮箱，多个邮箱用逗号分隔",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": false,
+            "toolDescription": "请输入密送邮箱，多个邮箱用逗号分隔"
+          },
+          {
+            "renderTypeList": ["JSONEditor", "reference"],
+            "selectedTypeIndex": 0,
+            "valueType": "string",
+            "canEdit": true,
+            "key": "attachments",
+            "label": "attachments",
+            "description": "必须是json数组格式\n[{\"filename\":\"附件名\",\"path\":\"附件url\"}]",
+            "defaultValue": "",
+            "list": [
+              {
+                "label": "",
+                "value": ""
+              }
+            ],
+            "maxFiles": 5,
+            "canSelectFile": true,
+            "canSelectImg": true,
+            "required": false,
+            "customInputConfig": {
+              "selectValueTypeList": ["arrayObject"]
+            },
+            "toolDescription": "必须是json数组格式\n[{\"filename\":\"附件名\",\"path\":\"附件url\"}]",
+            "maxLength": 0
+          }
+        ],
+        "outputs": [
+          {
+            "id": "smtpHost",
+            "valueType": "string",
+            "key": "smtpHost",
+            "label": "smtpHost",
+            "type": "hidden"
+          },
+          {
+            "id": "smtpPort",
+            "valueType": "string",
+            "key": "smtpPort",
+            "label": "smtpPort",
+            "type": "hidden"
+          },
+          {
+            "id": "SSL",
+            "valueType": "string",
+            "key": "SSL",
+            "label": "SSL",
+            "type": "hidden"
+          },
+          {
+            "id": "smtpUser",
+            "valueType": "string",
+            "key": "smtpUser",
+            "label": "smtpUser",
+            "type": "hidden"
+          },
+          {
+            "id": "smtpPass",
+            "valueType": "string",
+            "key": "smtpPass",
+            "label": "smtpPass",
+            "type": "hidden"
+          },
+          {
+            "id": "fromName",
+            "valueType": "string",
+            "key": "fromName",
+            "label": "fromName",
+            "type": "hidden"
+          },
+          {
+            "id": "to",
+            "valueType": "string",
+            "key": "to",
+            "label": "to",
+            "type": "hidden"
+          },
+          {
+            "id": "subject",
+            "valueType": "string",
+            "key": "subject",
+            "label": "subject",
+            "type": "hidden"
+          },
+          {
+            "id": "content",
+            "valueType": "string",
+            "key": "content",
+            "label": "content",
+            "type": "hidden"
+          },
+          {
+            "id": "cc",
+            "valueType": "string",
+            "key": "cc",
+            "label": "cc",
+            "type": "hidden"
+          },
+          {
+            "id": "bcc",
+            "valueType": "string",
+            "key": "bcc",
+            "label": "bcc",
+            "type": "hidden"
+          },
+          {
+            "id": "attachments",
+            "valueType": "string",
+            "key": "attachments",
+            "label": "attachments",
+            "type": "hidden"
+          }
+        ]
+      },
+      {
+        "nodeId": "pluginOutput",
+        "name": "common:core.module.template.self_output",
+        "intro": "workflow:intro_custom_plugin_output",
+        "avatar": "core/workflow/template/pluginOutput",
+        "flowNodeType": "pluginOutput",
+        "showStatus": false,
+        "position": {
+          "x": 2135.4991928806685,
+          "y": -98.02524442647456
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "renderTypeList": ["reference"],
+            "valueType": "string",
+            "canEdit": true,
+            "key": "发送结果",
+            "label": "发送结果",
+            "isToolOutput": true,
+            "description": "",
+            "required": true,
+            "value": ["uOX6ITvPWm9O", "httpRawResponse"]
+          }
+        ],
+        "outputs": []
+      },
+      {
+        "nodeId": "pluginConfig",
+        "name": "common:core.module.template.system_config",
+        "intro": "",
+        "avatar": "core/workflow/template/systemConfig",
+        "flowNodeType": "pluginConfig",
+        "position": {
+          "x": 184.66337662472682,
+          "y": -216.05298493910115
+        },
+        "version": "4811",
+        "inputs": [],
+        "outputs": []
+      },
+      {
+        "nodeId": "uOX6ITvPWm9O",
+        "name": "HTTP 请求",
+        "intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
+        "avatar": "core/workflow/template/httpRequest",
+        "flowNodeType": "httpRequest468",
+        "showStatus": true,
+        "position": {
+          "x": 1340.0519095857342,
+          "y": -393.02524442647456
+        },
+        "version": "481",
+        "inputs": [
+          {
+            "key": "system_addInputParam",
+            "renderTypeList": ["addInputParam"],
+            "valueType": "dynamic",
+            "label": "",
+            "required": false,
+            "description": "common:core.module.input.description.HTTP Dynamic Input",
+            "customInputConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "arrayAny",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectDataset",
+                "selectApp"
+              ],
+              "showDescription": false,
+              "showDefaultValue": true
+            },
+            "valueDesc": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpMethod",
+            "renderTypeList": ["custom"],
+            "valueType": "string",
+            "label": "",
+            "value": "POST",
+            "required": true,
+            "valueDesc": "",
+            "description": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpTimeout",
+            "renderTypeList": ["custom"],
+            "valueType": "number",
+            "label": "",
+            "value": 30,
+            "min": 5,
+            "max": 600,
+            "required": true,
+            "valueDesc": "",
+            "description": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpReqUrl",
+            "renderTypeList": ["hidden"],
+            "valueType": "string",
+            "label": "",
+            "description": "common:core.module.input.description.Http Request Url",
+            "placeholder": "https://api.ai.com/getInventory",
+            "required": false,
+            "value": "smtpEmail",
+            "valueDesc": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpHeader",
+            "renderTypeList": ["custom"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "description": "common:core.module.input.description.Http Request Header",
+            "placeholder": "common:core.module.input.description.Http Request Header",
+            "required": false,
+            "valueDesc": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpParams",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "required": false,
+            "valueDesc": "",
+            "description": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpJsonBody",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": "{\n\"smtpHost\": \"{{$pluginInput.smtpHost$}}\",\n\"smtpPort\": \"{{$pluginInput.smtpPort$}}\",\n\"SSL\": {{$pluginInput.SSL$}},\n\"smtpUser\": \"{{$pluginInput.smtpUser$}}\",\n\"smtpPass\": \"{{$pluginInput.smtpPass$}}\",\n\"fromName\": \"{{$pluginInput.fromName$}}\",\n\"to\": \"{{$pluginInput.to$}}\",\n\"subject\": \"{{$pluginInput.subject$}}\",\n\"content\": \"{{$pluginInput.content$}}\",\n\"cc\": \"{{$pluginInput.cc$}}\",\n\"bcc\": \"{{$pluginInput.bcc$}}\",\n\"attachments\":'{{$pluginInput.attachments$}}'\n}",
+            "label": "",
+            "required": false,
+            "valueDesc": "",
+            "description": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpFormBody",
+            "renderTypeList": ["hidden"],
+            "valueType": "any",
+            "value": [],
+            "label": "",
+            "required": false,
+            "valueDesc": "",
+            "description": "",
+            "debugLabel": "",
+            "toolDescription": ""
+          },
+          {
+            "key": "system_httpContentType",
+            "renderTypeList": ["hidden"],
+            "valueType": "string",
+            "value": "json",
+            "label": "",
+            "required": false,
+            "debugLabel": "",
+            "toolDescription": ""
+          }
+        ],
+        "outputs": [
+          {
+            "id": "error",
+            "key": "error",
+            "label": "workflow:request_error",
+            "description": "HTTP请求错误信息，成功时返回空",
+            "valueType": "object",
+            "type": "static"
+          },
+          {
+            "id": "httpRawResponse",
+            "key": "httpRawResponse",
+            "required": true,
+            "label": "workflow:raw_response",
+            "description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
+            "valueType": "any",
+            "type": "static"
+          },
+          {
+            "id": "system_addOutputParam",
+            "key": "system_addOutputParam",
+            "type": "dynamic",
+            "valueType": "dynamic",
+            "label": "输出字段提取",
+            "customFieldConfig": {
+              "selectValueTypeList": [
+                "string",
+                "number",
+                "boolean",
+                "object",
+                "arrayString",
+                "arrayNumber",
+                "arrayBoolean",
+                "arrayObject",
+                "arrayAny",
+                "any",
+                "chatHistory",
+                "datasetQuote",
+                "dynamic",
+                "selectApp",
+                "selectDataset"
+              ],
+              "showDescription": false,
+              "showDefaultValue": false
+            },
+            "description": "可以通过 JSONPath 语法来提取响应值中的指定字段",
+            "valueDesc": ""
+          }
+        ]
+      }
+    ],
+    "edges": [
+      {
+        "source": "uOX6ITvPWm9O",
+        "target": "pluginOutput",
+        "sourceHandle": "uOX6ITvPWm9O-source-right",
+        "targetHandle": "pluginOutput-target-left"
+      },
+      {
+        "source": "pluginInput",
+        "target": "uOX6ITvPWm9O",
+        "sourceHandle": "pluginInput-source-right",
+        "targetHandle": "uOX6ITvPWm9O-target-left"
+      }
+    ],
+    "chatConfig": {
+      "welcomeText": "",
+      "variables": [],
+      "questionGuide": {
+        "open": false,
+        "model": "gpt-4o-mini",
+        "customPrompt": ""
+      },
+      "ttsConfig": {
+        "type": "web"
+      },
+      "whisperConfig": {
+        "open": false,
+        "autoSend": false,
+        "autoTTSResponse": false
+      },
+      "chatInputGuide": {
+        "open": false,
+        "textList": [],
+        "customUrl": ""
+      },
+      "instruction": "通过SMTP协议发送电子邮件",
+      "autoExecute": {
+        "open": false,
+        "defaultPrompt": ""
+      },
+      "_id": "67ad649ea4b6b8eefa9d3d0d"
+    }
+  }
+}

packages/service/common/buffer/rawText/schema.ts

@@ -1,5 +1,4 @@
-import { connectionMongo, getMongoModel } from '../../mongo';
-const { Schema } = connectionMongo;
+import { getMongoModel, Schema } from '../../mongo';
 import { RawTextBufferSchemaType } from './type';
 
 export const collectionName = 'buffer_rawtexts';

packages/service/common/buffer/tts/schema.ts

@@ -1,5 +1,4 @@
-import { connectionMongo, getMongoModel, type Model } from '../../../common/mongo';
-const { Schema, model, models } = connectionMongo;
+import { Schema, getMongoModel } from '../../../common/mongo';
 import { TTSBufferSchemaType } from './type.d';
 
 export const collectionName = 'buffer_tts';

packages/service/common/bullmq/index.ts

@@ -0,0 +1,74 @@
+import { ConnectionOptions, Processor, Queue, QueueOptions, Worker, WorkerOptions } from 'bullmq';
+import { addLog } from '../system/log';
+import { newQueueRedisConnection, newWorkerRedisConnection } from '../redis';
+
+const defaultWorkerOpts: Omit<ConnectionOptions, 'connection'> = {
+  removeOnComplete: {
+    count: 0 // Delete jobs immediately on completion
+  },
+  removeOnFail: {
+    count: 0 // Delete jobs immediately on failure
+  }
+};
+
+export enum QueueNames {
+  websiteSync = 'websiteSync'
+}
+
+export const queues = (() => {
+  if (!global.queues) {
+    global.queues = new Map<QueueNames, Queue>();
+  }
+  return global.queues;
+})();
+export const workers = (() => {
+  if (!global.workers) {
+    global.workers = new Map<QueueNames, Worker>();
+  }
+  return global.workers;
+})();
+
+export function getQueue<DataType, ReturnType = void>(
+  name: QueueNames,
+  opts?: Omit<QueueOptions, 'connection'>
+): Queue<DataType, ReturnType> {
+  // check if global.queues has the queue
+  const queue = queues.get(name);
+  if (queue) {
+    return queue as Queue<DataType, ReturnType>;
+  }
+  const newQueue = new Queue<DataType, ReturnType>(name.toString(), {
+    connection: newQueueRedisConnection(),
+    ...opts
+  });
+
+  // default error handler, to avoid unhandled exceptions
+  newQueue.on('error', (error) => {
+    addLog.error(`MQ Queue [${name}]: ${error.message}`, error);
+  });
+  queues.set(name, newQueue);
+  return newQueue;
+}
+
+export function getWorker<DataType, ReturnType = void>(
+  name: QueueNames,
+  processor: Processor<DataType, ReturnType>,
+  opts?: Omit<WorkerOptions, 'connection'>
+): Worker<DataType, ReturnType> {
+  const worker = workers.get(name);
+  if (worker) {
+    return worker as Worker<DataType, ReturnType>;
+  }
+
+  const newWorker = new Worker<DataType, ReturnType>(name.toString(), processor, {
+    connection: newWorkerRedisConnection(),
+    ...defaultWorkerOpts,
+    ...opts
+  });
+  // default error handler, to avoid unhandled exceptions
+  newWorker.on('error', (error) => {
+    addLog.error(`MQ Worker [${name}]: ${error.message}`, error);
+  });
+  workers.set(name, newWorker);
+  return newWorker;
+}

packages/service/common/bullmq/type.d.ts

@@ -0,0 +1,7 @@
+import { Queue, Worker } from 'bullmq';
+import { QueueNames } from './index';
+
+declare global {
+  var queues: Map<QueueNames, Queue> | undefined;
+  var workers: Map<QueueNames, Worker> | undefined;
+}

packages/service/common/file/gridfs/schema.ts

@@ -1,5 +1,4 @@
-import { connectionMongo, getMongoModel, type Model } from '../../mongo';
-const { Schema } = connectionMongo;
+import { Schema, getMongoModel } from '../../mongo';
 
 const DatasetFileSchema = new Schema({});
 const ChatFileSchema = new Schema({});

packages/service/common/file/image/schema.ts

@@ -1,7 +1,6 @@
 import { TeamCollectionName } from '@fastgpt/global/support/user/team/constant';
-import { connectionMongo, getMongoModel } from '../../mongo';
+import { Schema, getMongoModel } from '../../mongo';
 import { MongoImageSchemaType } from '@fastgpt/global/common/file/image/type.d';
-const { Schema } = connectionMongo;
 
 const ImageSchema = new Schema({
   teamId: {

packages/service/common/mongo/index.ts

@@ -1,17 +1,26 @@
 import { addLog } from '../../common/system/log';
-import mongoose, { Model } from 'mongoose';
+import mongoose, { Model, Mongoose } from 'mongoose';
 
 export default mongoose;
 export * from 'mongoose';
 
+export const MONGO_URL = process.env.MONGODB_URI as string;
+export const MONGO_LOG_URL = (process.env.MONGODB_LOG_URI ?? process.env.MONGODB_URI) as string;
+
 export const connectionMongo = (() => {
   if (!global.mongodb) {
-    global.mongodb = mongoose;
+    global.mongodb = new Mongoose();
   }
-
   return global.mongodb;
 })();
 
+export const connectionLogMongo = (() => {
+  if (!global.mongodbLog) {
+    global.mongodbLog = new Mongoose();
+  }
+  return global.mongodbLog;
+})();
+
 const addCommonMiddleware = (schema: mongoose.Schema) => {
   const operations = [
     /^find/,
@@ -71,6 +80,19 @@ export const getMongoModel = <T>(name: string, schema: mongoose.Schema) => {
   return model;
 };
 
+export const getMongoLogModel = <T>(name: string, schema: mongoose.Schema) => {
+  if (connectionLogMongo.models[name]) return connectionLogMongo.models[name] as Model<T>;
+  console.log('Load model======', name);
+  addCommonMiddleware(schema);
+
+  const model = connectionLogMongo.model<T>(name, schema);
+
+  // Sync index
+  syncMongoIndex(model);
+
+  return model;
+};
+
 const syncMongoIndex = async (model: Model<any>) => {
   if (process.env.SYNC_INDEX !== '0' && process.env.NODE_ENV !== 'test') {
     try {

packages/service/common/mongo/init.ts

@@ -1,6 +1,5 @@
 import { delay } from '@fastgpt/global/common/system/utils';
 import { addLog } from '../system/log';
-import { connectionMongo } from './index';
 import type { Mongoose } from 'mongoose';
 
 const maxConnecting = Math.max(30, Number(process.env.DB_MAX_LINK || 20));
@@ -8,41 +7,41 @@ const maxConnecting = Math.max(30, Number(process.env.DB_MAX_LINK || 20));
 /**
  * connect MongoDB and init data
  */
-export async function connectMongo(): Promise<Mongoose> {
+export async function connectMongo(db: Mongoose, url: string): Promise<Mongoose> {
   /* Connecting, connected will return */
-  if (connectionMongo.connection.readyState !== 0) {
-    return connectionMongo;
+  if (db.connection.readyState !== 0) {
+    return db;
   }
 
-  console.log('mongo start connect');
+  console.log('MongoDB start connect');
   try {
     // Remove existing listeners to prevent duplicates
-    connectionMongo.connection.removeAllListeners('error');
-    connectionMongo.connection.removeAllListeners('disconnected');
-    connectionMongo.set('strictQuery', 'throw');
+    db.connection.removeAllListeners('error');
+    db.connection.removeAllListeners('disconnected');
+    db.set('strictQuery', 'throw');
 
-    connectionMongo.connection.on('error', async (error) => {
+    db.connection.on('error', async (error) => {
       console.log('mongo error', error);
       try {
-        if (connectionMongo.connection.readyState !== 0) {
-          await connectionMongo.disconnect();
+        if (db.connection.readyState !== 0) {
+          await db.disconnect();
           await delay(1000);
-          await connectMongo();
+          await connectMongo(db, url);
         }
       } catch (error) {}
     });
-    connectionMongo.connection.on('disconnected', async () => {
+    db.connection.on('disconnected', async () => {
       console.log('mongo disconnected');
       try {
-        if (connectionMongo.connection.readyState !== 0) {
-          await connectionMongo.disconnect();
+        if (db.connection.readyState !== 0) {
+          await db.disconnect();
           await delay(1000);
-          await connectMongo();
+          await connectMongo(db, url);
         }
       } catch (error) {}
     });
 
-    await connectionMongo.connect(process.env.MONGODB_URI as string, {
+    const options = {
       bufferCommands: true,
       maxConnecting: maxConnecting,
       maxPoolSize: maxConnecting,
@@ -53,18 +52,18 @@ export async function connectMongo(): Promise<Mongoose> {
       maxIdleTimeMS: 300000,
       retryWrites: true,
       retryReads: true
+    };
 
-      // readPreference: 'secondaryPreferred',
-      // readConcern: { level: 'local' },
-      // writeConcern: { w: 'majority', j: true }
-    });
+    db.connect(url, options);
 
     console.log('mongo connected');
-    return connectionMongo;
+    return db;
   } catch (error) {
-    addLog.error('mongo connect error', error);
-    await connectionMongo.disconnect();
+    addLog.error('Mongo connect error', error);
+
+    await db.disconnect();
+
     await delay(1000);
-    return connectMongo();
+    return connectMongo(db, url);
   }
 }

packages/service/common/mongo/type.d.ts

@@ -3,4 +3,5 @@ import type { Logger } from 'winston';
 
 declare global {
   var mongodb: Mongoose | undefined;
+  var mongodbLog: Mongoose | undefined;
 }

packages/service/common/redis/cache.ts

@@ -0,0 +1,38 @@
+import { getGlobalRedisCacheConnection } from './index';
+import { addLog } from '../system/log';
+import { retryFn } from '@fastgpt/global/common/system/utils';
+
+export enum CacheKeyEnum {
+  team_vector_count = 'team_vector_count'
+}
+
+export const setRedisCache = async (
+  key: string,
+  data: string | Buffer | number,
+  expireSeconds?: number
+) => {
+  return await retryFn(async () => {
+    try {
+      const redis = getGlobalRedisCacheConnection();
+
+      if (expireSeconds) {
+        await redis.set(key, data, 'EX', expireSeconds);
+      } else {
+        await redis.set(key, data);
+      }
+    } catch (error) {
+      addLog.error('Set cache error:', error);
+      return Promise.reject(error);
+    }
+  });
+};
+
+export const getRedisCache = async (key: string) => {
+  const redis = getGlobalRedisCacheConnection();
+  return await retryFn(() => redis.get(key));
+};
+
+export const delRedisCache = async (key: string) => {
+  const redis = getGlobalRedisCacheConnection();
+  await retryFn(() => redis.del(key));
+};

packages/service/common/redis/index.ts

@@ -0,0 +1,43 @@
+import { addLog } from '../system/log';
+import Redis from 'ioredis';
+
+const REDIS_URL = process.env.REDIS_URL ?? 'redis://localhost:6379';
+
+export const newQueueRedisConnection = () => {
+  const redis = new Redis(REDIS_URL);
+  redis.on('connect', () => {
+    console.log('Redis connected');
+  });
+  redis.on('error', (error) => {
+    console.error('Redis connection error', error);
+  });
+  return redis;
+};
+
+export const newWorkerRedisConnection = () => {
+  const redis = new Redis(REDIS_URL, {
+    maxRetriesPerRequest: null
+  });
+  redis.on('connect', () => {
+    console.log('Redis connected');
+  });
+  redis.on('error', (error) => {
+    console.error('Redis connection error', error);
+  });
+  return redis;
+};
+
+export const getGlobalRedisCacheConnection = () => {
+  if (global.redisCache) return global.redisCache;
+
+  global.redisCache = new Redis(REDIS_URL, { keyPrefix: 'fastgpt:cache:' });
+
+  global.redisCache.on('connect', () => {
+    addLog.info('Redis connected');
+  });
+  global.redisCache.on('error', (error) => {
+    addLog.error('Redis connection error', error);
+  });
+
+  return global.redisCache;
+};

packages/service/common/redis/type.d.ts

@@ -0,0 +1,5 @@
+import Redis from 'ioredis';
+
+declare global {
+  var redisCache: Redis | null;
+}

packages/service/common/system/log/schema.ts

@@ -1,4 +1,4 @@
-import { getMongoModel, Schema } from '../../../common/mongo';
+import { getMongoLogModel as getMongoModel, Schema } from '../../../common/mongo';
 import { SystemLogType } from './type';
 import { LogLevelEnum } from './constant';
 

packages/service/common/system/timerLock/constants.ts

@@ -1,5 +1,5 @@
 export enum TimerIdEnum {
-  checkInValidDatasetFiles = 'checkInValidDatasetFiles',
+  checkExpiredFiles = 'checkExpiredFiles',
   checkInvalidDatasetData = 'checkInvalidDatasetData',
   checkInvalidVector = 'checkInvalidVector',
   clearExpiredSubPlan = 'clearExpiredSubPlan',

packages/service/common/vectorStore/controller.ts

@@ -2,10 +2,11 @@
 import { PgVectorCtrl } from './pg/class';
 import { ObVectorCtrl } from './oceanbase/class';
 import { getVectorsByText } from '../../core/ai/embedding';
-import { InsertVectorProps } from './controller.d';
+import { DelDatasetVectorCtrlProps, InsertVectorProps } from './controller.d';
 import { EmbeddingModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { MILVUS_ADDRESS, PG_ADDRESS, OCEANBASE_ADDRESS } from './constants';
 import { MilvusCtrl } from './milvus/class';
+import { setRedisCache, getRedisCache, delRedisCache, CacheKeyEnum } from '../redis/cache';
 
 const getVectorObj = () => {
   if (PG_ADDRESS) return new PgVectorCtrl();
@@ -14,14 +15,29 @@ const getVectorObj = () => {
 
   return new PgVectorCtrl();
 };
+const getChcheKey = (teamId: string) => `${CacheKeyEnum.team_vector_count}:${teamId}`;
 
 const Vector = getVectorObj();
 
 export const initVectorStore = Vector.init;
-export const deleteDatasetDataVector = Vector.delete;
 export const recallFromVectorStore = Vector.embRecall;
 export const getVectorDataByTime = Vector.getVectorDataByTime;
-export const getVectorCountByTeamId = Vector.getVectorCountByTeamId;
+
+export const getVectorCountByTeamId = async (teamId: string) => {
+  const key = getChcheKey(teamId);
+
+  const countStr = await getRedisCache(key);
+  if (countStr) {
+    return Number(countStr);
+  }
+
+  const count = await Vector.getVectorCountByTeamId(teamId);
+
+  await setRedisCache(key, count, 30 * 60);
+
+  return count;
+};
+
 export const getVectorCountByDatasetId = Vector.getVectorCountByDatasetId;
 export const getVectorCountByCollectionId = Vector.getVectorCountByCollectionId;
 
@@ -43,8 +59,16 @@ export const insertDatasetDataVector = async ({
     vector: vectors[0]
   });
 
+  delRedisCache(getChcheKey(props.teamId));
+
   return {
     tokens,
     insertId
   };
 };
+
+export const deleteDatasetDataVector = async (props: DelDatasetVectorCtrlProps) => {
+  const result = await Vector.delete(props);
+  delRedisCache(getChcheKey(props.teamId));
+  return result;
+};

packages/service/core/ai/utils.ts

@@ -2,6 +2,7 @@ import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import {
   ChatCompletionCreateParamsNonStreaming,
   ChatCompletionCreateParamsStreaming,
+  CompletionFinishReason,
   StreamChatType
 } from '@fastgpt/global/core/ai/type';
 import { getLLMModel } from './model';
@@ -142,26 +143,40 @@ export const parseReasoningStreamContent = () => {
           content?: string;
           reasoning_content?: string;
         };
+        finish_reason?: CompletionFinishReason;
       }[];
     },
     parseThinkTag = false
-  ): [string, string] => {
+  ): {
+    reasoningContent: string;
+    content: string;
+    finishReason: CompletionFinishReason;
+  } => {
     const content = part.choices?.[0]?.delta?.content || '';
+    const finishReason = part.choices?.[0]?.finish_reason || null;
 
     // @ts-ignore
     const reasoningContent = part.choices?.[0]?.delta?.reasoning_content || '';
     if (reasoningContent || !parseThinkTag) {
       isInThinkTag = false;
-      return [reasoningContent, content];
+      return { reasoningContent, content, finishReason };
     }
 
     if (!content) {
-      return ['', ''];
+      return {
+        reasoningContent: '',
+        content: '',
+        finishReason
+      };
     }
 
     // 如果不在 think 标签中，或者有 reasoningContent(接口已解析），则返回 reasoningContent 和 content
     if (isInThinkTag === false) {
-      return ['', content];
+      return {
+        reasoningContent: '',
+        content,
+        finishReason
+      };
     }
 
     // 检测是否为 think 标签开头的数据
@@ -170,17 +185,29 @@ export const parseReasoningStreamContent = () => {
       startTagBuffer += content;
       // 太少内容时候，暂时不解析
       if (startTagBuffer.length < startTag.length) {
-        return ['', ''];
+        return {
+          reasoningContent: '',
+          content: '',
+          finishReason
+        };
       }
 
       if (startTagBuffer.startsWith(startTag)) {
         isInThinkTag = true;
-        return [startTagBuffer.slice(startTag.length), ''];
+        return {
+          reasoningContent: startTagBuffer.slice(startTag.length),
+          content: '',
+          finishReason
+        };
       }
 
       // 如果未命中 think 标签，则认为不在 think 标签中，返回 buffer 内容作为 content
       isInThinkTag = false;
-      return ['', startTagBuffer];
+      return {
+        reasoningContent: '',
+        content: startTagBuffer,
+        finishReason
+      };
     }
 
     // 确认是 think 标签内容，开始返回 think 内容，并实时检测 </think>
@@ -201,19 +228,35 @@ export const parseReasoningStreamContent = () => {
       if (endTagBuffer.includes(endTag)) {
         isInThinkTag = false;
         const answer = endTagBuffer.slice(endTag.length);
-        return ['', answer];
+        return {
+          reasoningContent: '',
+          content: answer,
+          finishReason
+        };
       } else if (endTagBuffer.length >= endTag.length) {
         // 缓存内容超出尾标签长度，且仍未命中 </think>，则认为本次猜测 </think> 失败，仍处于 think 阶段。
         const tmp = endTagBuffer;
         endTagBuffer = '';
-        return [tmp, ''];
+        return {
+          reasoningContent: tmp,
+          content: '',
+          finishReason
+        };
       }
-      return ['', ''];
+      return {
+        reasoningContent: '',
+        content: '',
+        finishReason
+      };
     } else if (content.includes(endTag)) {
       // 返回内容，完整命中</think>，直接结束
       isInThinkTag = false;
       const [think, answer] = content.split(endTag);
-      return [think, answer];
+      return {
+        reasoningContent: think,
+        content: answer,
+        finishReason
+      };
     } else {
       // 无 buffer，且未命中 </think>，开始疑似 </think> 检测。
       for (let i = 1; i < endTag.length; i++) {
@@ -222,13 +265,21 @@ export const parseReasoningStreamContent = () => {
         if (content.endsWith(partialEndTag)) {
           const think = content.slice(0, -partialEndTag.length);
           endTagBuffer += partialEndTag;
-          return [think, ''];
+          return {
+            reasoningContent: think,
+            content: '',
+            finishReason
+          };
         }
       }
     }
 
     // 完全未命中尾标签，还是 think 阶段。
-    return [content, ''];
+    return {
+      reasoningContent: content,
+      content: '',
+      finishReason
+    };
   };
 
   const getStartTagBuffer = () => startTagBuffer;

packages/service/core/dataset/collection/controller.ts

@@ -1,6 +1,7 @@
 import {
   DatasetCollectionTypeEnum,
-  DatasetCollectionDataProcessModeEnum
+  DatasetCollectionDataProcessModeEnum,
+  DatasetTypeEnum
 } from '@fastgpt/global/core/dataset/constants';
 import type { CreateDatasetCollectionParams } from '@fastgpt/global/core/dataset/api.d';
 import { MongoDatasetCollection } from './schema';
@@ -104,7 +105,8 @@ export const createCollectionAndInsertData = async ({
       hashRawText: hashStr(rawText),
       rawTextLength: rawText.length,
       nextSyncTime: (() => {
-        if (!dataset.autoSync) return undefined;
+        // ignore auto collections sync for website datasets
+        if (!dataset.autoSync && dataset.type === DatasetTypeEnum.websiteDataset) return undefined;
         if (
           [DatasetCollectionTypeEnum.link, DatasetCollectionTypeEnum.apiFile].includes(
             createCollectionParams.type

packages/service/core/dataset/collection/schema.ts

@@ -1,13 +1,8 @@
 import { connectionMongo, getMongoModel } from '../../../common/mongo';
-const { Schema, model, models } = connectionMongo;
+const { Schema } = connectionMongo;
 import { DatasetCollectionSchemaType } from '@fastgpt/global/core/dataset/type.d';
-import {
-  DatasetCollectionTypeMap,
-  DatasetCollectionDataProcessModeEnum,
-  ChunkSettingModeEnum,
-  DataChunkSplitModeEnum
-} from '@fastgpt/global/core/dataset/constants';
-import { DatasetCollectionName } from '../schema';
+import { DatasetCollectionTypeMap } from '@fastgpt/global/core/dataset/constants';
+import { ChunkSettings, DatasetCollectionName } from '../schema';
 import {
   TeamCollectionName,
   TeamMemberCollectionName
@@ -90,25 +85,7 @@ const DatasetCollectionSchema = new Schema({
   customPdfParse: Boolean,
 
   // Chunk settings
-  imageIndex: Boolean,
-  autoIndexes: Boolean,
-  trainingType: {
-    type: String,
-    enum: Object.values(DatasetCollectionDataProcessModeEnum)
-  },
-  chunkSettingMode: {
-    type: String,
-    enum: Object.values(ChunkSettingModeEnum)
-  },
-  chunkSplitMode: {
-    type: String,
-    enum: Object.values(DataChunkSplitModeEnum)
-  },
-  chunkSize: Number,
-  chunkSplitter: String,
-
-  indexSize: Number,
-  qaPrompt: String
+  ...ChunkSettings
 });
 
 DatasetCollectionSchema.virtual('dataset', {

packages/service/core/dataset/controller.ts

@@ -9,6 +9,8 @@ import { deleteDatasetDataVector } from '../../common/vectorStore/controller';
 import { MongoDatasetDataText } from './data/dataTextSchema';
 import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
 import { retryFn } from '@fastgpt/global/common/system/utils';
+import { removeWebsiteSyncJobScheduler } from './websiteSync';
+import { DatasetTypeEnum } from '@fastgpt/global/core/dataset/constants';
 
 /* ============= dataset ========== */
 /* find all datasetId by top datasetId */

packages/service/core/dataset/schema.ts

@@ -1,7 +1,8 @@
 import { getMongoModel, Schema } from '../../common/mongo';
 import {
-  DatasetStatusEnum,
-  DatasetStatusMap,
+  ChunkSettingModeEnum,
+  DataChunkSplitModeEnum,
+  DatasetCollectionDataProcessModeEnum,
   DatasetTypeEnum,
   DatasetTypeMap
 } from '@fastgpt/global/core/dataset/constants';
@@ -13,6 +14,28 @@ import type { DatasetSchemaType } from '@fastgpt/global/core/dataset/type.d';
 
 export const DatasetCollectionName = 'datasets';
 
+export const ChunkSettings = {
+  imageIndex: Boolean,
+  autoIndexes: Boolean,
+  trainingType: {
+    type: String,
+    enum: Object.values(DatasetCollectionDataProcessModeEnum)
+  },
+  chunkSettingMode: {
+    type: String,
+    enum: Object.values(ChunkSettingModeEnum)
+  },
+  chunkSplitMode: {
+    type: String,
+    enum: Object.values(DataChunkSplitModeEnum)
+  },
+  chunkSize: Number,
+  chunkSplitter: String,
+
+  indexSize: Number,
+  qaPrompt: String
+};
+
 const DatasetSchema = new Schema({
   parentId: {
     type: Schema.Types.ObjectId,
@@ -40,11 +63,6 @@ const DatasetSchema = new Schema({
     required: true,
     default: DatasetTypeEnum.dataset
   },
-  status: {
-    type: String,
-    enum: Object.keys(DatasetStatusMap),
-    default: DatasetStatusEnum.active
-  },
   avatar: {
     type: String,
     default: '/icon/logo.svg'
@@ -84,6 +102,9 @@ const DatasetSchema = new Schema({
       }
     }
   },
+  chunkSettings: {
+    type: ChunkSettings
+  },
   inheritPermission: {
     type: Boolean,
     default: true
@@ -98,9 +119,8 @@ const DatasetSchema = new Schema({
     type: Object
   },
 
-  autoSync: Boolean,
-
   // abandoned
+  autoSync: Boolean,
   externalReadUrl: {
     type: String
   },

packages/service/core/dataset/training/schema.ts

@@ -98,7 +98,9 @@ const TrainingDataSchema = new Schema({
       }
     ],
     default: []
-  }
+  },
+
+  errorMsg: String
 });
 
 TrainingDataSchema.virtual('dataset', {

packages/service/core/dataset/websiteSync/index.ts

@@ -0,0 +1,80 @@
+import { Processor } from 'bullmq';
+import { getQueue, getWorker, QueueNames } from '../../../common/bullmq';
+import { DatasetStatusEnum } from '@fastgpt/global/core/dataset/constants';
+
+export type WebsiteSyncJobData = {
+  datasetId: string;
+};
+
+export const websiteSyncQueue = getQueue<WebsiteSyncJobData>(QueueNames.websiteSync, {
+  defaultJobOptions: {
+    attempts: 3, // retry 3 times
+    backoff: {
+      type: 'exponential',
+      delay: 1000 // delay 1 second between retries
+    }
+  }
+});
+export const getWebsiteSyncWorker = (processor: Processor<WebsiteSyncJobData>) => {
+  return getWorker<WebsiteSyncJobData>(QueueNames.websiteSync, processor, {
+    removeOnFail: {
+      age: 15 * 24 * 60 * 60, // Keep up to 15 days
+      count: 1000 // Keep up to 1000 jobs
+    },
+    concurrency: 1 // Set worker to process only 1 job at a time
+  });
+};
+
+export const addWebsiteSyncJob = (data: WebsiteSyncJobData) => {
+  const datasetId = String(data.datasetId);
+  // deduplication: make sure only 1 job
+  return websiteSyncQueue.add(datasetId, data, { deduplication: { id: datasetId } });
+};
+
+export const getWebsiteSyncDatasetStatus = async (datasetId: string) => {
+  const jobId = await websiteSyncQueue.getDeduplicationJobId(datasetId);
+  if (!jobId) {
+    return DatasetStatusEnum.active;
+  }
+  const job = await websiteSyncQueue.getJob(jobId);
+  if (!job) {
+    return DatasetStatusEnum.active;
+  }
+
+  const jobState = await job.getState();
+
+  if (['waiting-children', 'waiting'].includes(jobState)) {
+    return DatasetStatusEnum.waiting;
+  }
+  if (jobState === 'active') {
+    return DatasetStatusEnum.syncing;
+  }
+
+  return DatasetStatusEnum.active;
+};
+
+// Scheduler setting
+const repeatDuration = 24 * 60 * 60 * 1000; // every day
+export const upsertWebsiteSyncJobScheduler = (data: WebsiteSyncJobData, startDate?: number) => {
+  const datasetId = String(data.datasetId);
+
+  return websiteSyncQueue.upsertJobScheduler(
+    datasetId,
+    {
+      every: repeatDuration,
+      startDate: startDate || new Date().getTime() + repeatDuration // First run tomorrow
+    },
+    {
+      name: datasetId,
+      data
+    }
+  );
+};
+
+export const getWebsiteSyncJobScheduler = (datasetId: string) => {
+  return websiteSyncQueue.getJobScheduler(String(datasetId));
+};
+
+export const removeWebsiteSyncJobScheduler = (datasetId: string) => {
+  return websiteSyncQueue.removeJobScheduler(String(datasetId));
+};

packages/service/core/workflow/dispatch/agent/runTool/index.ts

@@ -176,7 +176,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
     toolNodeOutputTokens,
     completeMessages = [], // The actual message sent to AI(just save text)
     assistantResponses = [], // FastGPT system store assistant.value response
-    runTimes
+    runTimes,
+    finish_reason
   } = await (async () => {
     const adaptMessages = chats2GPTMessages({
       messages,
@@ -276,7 +277,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
         useVision
       ),
       toolDetail: childToolResponse,
-      mergeSignId: nodeId
+      mergeSignId: nodeId,
+      finishReason: finish_reason
     },
     [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
       // 工具调用本身的积分消耗

packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts

@@ -1,6 +1,10 @@
 import { createChatCompletion } from '../../../../ai/config';
 import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../../chat/utils';
-import { StreamChatType, ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
+import {
+  StreamChatType,
+  ChatCompletionMessageParam,
+  CompletionFinishReason
+} from '@fastgpt/global/core/ai/type';
 import { NextApiResponse } from 'next';
 import { responseWriteController } from '../../../../../common/response';
 import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';
@@ -252,9 +256,9 @@ export const runToolWithPromptCall = async (
     }
   });
 
-  const { answer, reasoning } = await (async () => {
+  const { answer, reasoning, finish_reason } = await (async () => {
     if (res && isStreamResponse) {
-      const { answer, reasoning } = await streamResponse({
+      const { answer, reasoning, finish_reason } = await streamResponse({
         res,
         toolNodes,
         stream: aiResponse,
@@ -262,8 +266,9 @@ export const runToolWithPromptCall = async (
         aiChatReasoning
       });
 
-      return { answer, reasoning };
+      return { answer, reasoning, finish_reason };
     } else {
+      const finish_reason = aiResponse.choices?.[0]?.finish_reason as CompletionFinishReason;
       const content = aiResponse.choices?.[0]?.message?.content || '';
       const reasoningContent: string = aiResponse.choices?.[0]?.message?.reasoning_content || '';
 
@@ -271,14 +276,16 @@ export const runToolWithPromptCall = async (
       if (reasoningContent || !aiChatReasoning) {
         return {
           answer: content,
-          reasoning: reasoningContent
+          reasoning: reasoningContent,
+          finish_reason
         };
       }
 
       const [think, answer] = parseReasoningContent(content);
       return {
         answer,
-        reasoning: think
+        reasoning: think,
+        finish_reason
       };
     }
   })();
@@ -525,7 +532,8 @@ ANSWER: `;
       toolNodeInputTokens,
       toolNodeOutputTokens,
       assistantResponses: toolNodeAssistants,
-      runTimes
+      runTimes,
+      finish_reason
     }
   );
 };
@@ -550,15 +558,18 @@ async function streamResponse({
   let startResponseWrite = false;
   let answer = '';
   let reasoning = '';
+  let finish_reason: CompletionFinishReason = null;
   const { parsePart, getStartTagBuffer } = parseReasoningStreamContent();
 
   for await (const part of stream) {
     if (res.closed) {
       stream.controller?.abort();
+      finish_reason = 'close';
       break;
     }
 
-    const [reasoningContent, content] = parsePart(part, aiChatReasoning);
+    const { reasoningContent, content, finishReason } = parsePart(part, aiChatReasoning);
+    finish_reason = finish_reason || finishReason;
     answer += content;
     reasoning += reasoningContent;
 
@@ -618,7 +629,7 @@ async function streamResponse({
     }
   }
 
-  return { answer, reasoning };
+  return { answer, reasoning, finish_reason };
 }
 
 const parseAnswer = (

packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts

@@ -7,7 +7,8 @@ import {
   ChatCompletionToolMessageParam,
   ChatCompletionMessageParam,
   ChatCompletionTool,
-  ChatCompletionAssistantMessageParam
+  ChatCompletionAssistantMessageParam,
+  CompletionFinishReason
 } from '@fastgpt/global/core/ai/type';
 import { NextApiResponse } from 'next';
 import { responseWriteController } from '../../../../../common/response';
@@ -300,7 +301,7 @@ export const runToolWithToolChoice = async (
     }
   });
 
-  const { answer, toolCalls } = await (async () => {
+  const { answer, toolCalls, finish_reason } = await (async () => {
     if (res && isStreamResponse) {
       return streamResponse({
         res,
@@ -310,6 +311,7 @@ export const runToolWithToolChoice = async (
       });
     } else {
       const result = aiResponse as ChatCompletion;
+      const finish_reason = result.choices?.[0]?.finish_reason as CompletionFinishReason;
       const calls = result.choices?.[0]?.message?.tool_calls || [];
       const answer = result.choices?.[0]?.message?.content || '';
 
@@ -350,7 +352,8 @@ export const runToolWithToolChoice = async (
 
       return {
         answer,
-        toolCalls: toolCalls
+        toolCalls: toolCalls,
+        finish_reason
       };
     }
   })();
@@ -549,8 +552,9 @@ export const runToolWithToolChoice = async (
         toolNodeOutputTokens,
         completeMessages,
         assistantResponses: toolNodeAssistants,
+        toolWorkflowInteractiveResponse,
         runTimes,
-        toolWorkflowInteractiveResponse
+        finish_reason
       };
     }
 
@@ -565,7 +569,8 @@ export const runToolWithToolChoice = async (
         toolNodeInputTokens,
         toolNodeOutputTokens,
         assistantResponses: toolNodeAssistants,
-        runTimes
+        runTimes,
+        finish_reason
       }
     );
   } else {
@@ -588,7 +593,8 @@ export const runToolWithToolChoice = async (
 
       completeMessages,
       assistantResponses: [...assistantResponses, ...toolNodeAssistant.value],
-      runTimes: (response?.runTimes || 0) + 1
+      runTimes: (response?.runTimes || 0) + 1,
+      finish_reason
     };
   }
 };
@@ -612,14 +618,18 @@ async function streamResponse({
   let textAnswer = '';
   let callingTool: { name: string; arguments: string } | null = null;
   let toolCalls: ChatCompletionMessageToolCall[] = [];
+  let finishReason: CompletionFinishReason = null;
 
   for await (const part of stream) {
     if (res.closed) {
       stream.controller?.abort();
+      finishReason = 'close';
       break;
     }
 
     const responseChoice = part.choices?.[0]?.delta;
+    const finish_reason = part.choices?.[0]?.finish_reason as CompletionFinishReason;
+    finishReason = finishReason || finish_reason;
 
     if (responseChoice?.content) {
       const content = responseChoice.content || '';
@@ -705,5 +715,5 @@ async function streamResponse({
     }
   }
 
-  return { answer: textAnswer, toolCalls };
+  return { answer: textAnswer, toolCalls, finish_reason: finishReason };
 }

packages/service/core/workflow/dispatch/agent/runTool/type.d.ts

@@ -1,4 +1,4 @@
-import { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
+import { ChatCompletionMessageParam, CompletionFinishReason } from '@fastgpt/global/core/ai/type';
 import { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import type {
   ModuleDispatchProps,
@@ -43,6 +43,7 @@ export type RunToolResponse = {
   assistantResponses?: AIChatItemValueItemType[];
   toolWorkflowInteractiveResponse?: WorkflowInteractiveResponseType;
   [DispatchNodeResponseKeyEnum.runTimes]: number;
+  finish_reason?: CompletionFinishReason;
 };
 export type ToolNodeItemType = RuntimeNodeItemType & {
   toolParams: RuntimeNodeItemType['inputs'];

packages/service/core/workflow/dispatch/chat/oneapi.ts

@@ -6,7 +6,11 @@ import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/cons
 import { textAdaptGptResponse } from '@fastgpt/global/core/workflow/runtime/utils';
 import { parseReasoningContent, parseReasoningStreamContent } from '../../../ai/utils';
 import { createChatCompletion } from '../../../ai/config';
-import type { ChatCompletionMessageParam, StreamChatType } from '@fastgpt/global/core/ai/type.d';
+import type {
+  ChatCompletionMessageParam,
+  CompletionFinishReason,
+  StreamChatType
+} from '@fastgpt/global/core/ai/type.d';
 import { formatModelChars2Points } from '../../../../support/wallet/usage/utils';
 import type { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { postTextCensor } from '../../../../common/api/requestPlusApi';
@@ -101,7 +105,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
 
   const modelConstantsData = getLLMModel(model);
   if (!modelConstantsData) {
-    return Promise.reject('The chat model is undefined, you need to select a chat model.');
+    return Promise.reject(`Mode ${model} is undefined, you need to select a chat model.`);
   }
 
   aiChatVision = modelConstantsData.vision && aiChatVision;
@@ -195,16 +199,17 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
     }
   });
 
-  const { answerText, reasoningText } = await (async () => {
+  const { answerText, reasoningText, finish_reason } = await (async () => {
     if (isStreamResponse) {
       if (!res) {
         return {
           answerText: '',
-          reasoningText: ''
+          reasoningText: '',
+          finish_reason: 'close' as const
         };
       }
       // sse response
-      const { answer, reasoning } = await streamResponse({
+      const { answer, reasoning, finish_reason } = await streamResponse({
         res,
         stream: response,
         aiChatReasoning,
@@ -215,9 +220,12 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
 
       return {
         answerText: answer,
-        reasoningText: reasoning
+        reasoningText: reasoning,
+        finish_reason
       };
     } else {
+      const finish_reason = response.choices?.[0]?.finish_reason as CompletionFinishReason;
+
       const { content, reasoningContent } = (() => {
         const content = response.choices?.[0]?.message?.content || '';
         // @ts-ignore
@@ -260,7 +268,8 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
 
       return {
         answerText: content,
-        reasoningText: reasoningContent
+        reasoningText: reasoningContent,
+        finish_reason
       };
     }
   })();
@@ -303,7 +312,8 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
       maxToken: max_tokens,
       reasoningText,
       historyPreview: getHistoryPreview(chatCompleteMessages, 10000, aiChatVision),
-      contextTotalLen: completeMessages.length
+      contextTotalLen: completeMessages.length,
+      finishReason: finish_reason
     },
     [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
       {
@@ -528,15 +538,18 @@ async function streamResponse({
   });
   let answer = '';
   let reasoning = '';
+  let finish_reason: CompletionFinishReason = null;
   const { parsePart, getStartTagBuffer } = parseReasoningStreamContent();
 
   for await (const part of stream) {
     if (res.closed) {
       stream.controller?.abort();
+      finish_reason = 'close';
       break;
     }
 
-    const [reasoningContent, content] = parsePart(part, parseThinkTag);
+    const { reasoningContent, content, finishReason } = parsePart(part, parseThinkTag);
+    finish_reason = finish_reason || finishReason;
     answer += content;
     reasoning += reasoningContent;
 
@@ -575,5 +588,5 @@ async function streamResponse({
     }
   }
 
-  return { answer, reasoning };
+  return { answer, reasoning, finish_reason };
 }

packages/service/core/workflow/dispatch/index.ts

@@ -130,6 +130,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
     timezone,
     externalProvider,
     stream = false,
+    version = 'v1',
     ...props
   } = data;
 
@@ -626,6 +627,21 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
       };
     })();
 
+    // Response node response
+    if (
+      version === 'v2' &&
+      !props.isToolCall &&
+      !props.runningAppInfo.isChildApp &&
+      formatResponseData
+    ) {
+      props.workflowStreamResponse?.({
+        event: SseResponseEventEnum.flowNodeResponse,
+        data: {
+          ...formatResponseData
+        }
+      });
+    }
+
     // Add output default value
     node.outputs.forEach((item) => {
       if (!item.required) return;

packages/service/core/workflow/dispatch/plugin/run.ts

@@ -90,7 +90,8 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
       id: String(plugin.id),
       // 如果系统插件有 teamId 和 tmbId，则使用系统插件的 teamId 和 tmbId（管理员指定了插件作为系统插件）
       teamId: plugin.teamId || runningAppInfo.teamId,
-      tmbId: plugin.tmbId || runningAppInfo.tmbId
+      tmbId: plugin.tmbId || runningAppInfo.tmbId,
+      isChildApp: true
     },
     variables: runtimeVariables,
     query: getPluginRunUserQuery({

packages/service/core/workflow/dispatch/plugin/runApp.ts

@@ -112,7 +112,8 @@ export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
     runningAppInfo: {
       id: String(appData._id),
       teamId: String(appData.teamId),
-      tmbId: String(appData.tmbId)
+      tmbId: String(appData.tmbId),
+      isChildApp: true
     },
     runtimeNodes: storeNodes2RuntimeNodes(nodes, getWorkflowEntryNodeIds(nodes)),
     runtimeEdges: initWorkflowEdgeStatus(edges),

packages/service/core/workflow/dispatch/tools/runUpdateVar.ts

@@ -19,7 +19,14 @@ type Props = ModuleDispatchProps<{
 type Response = DispatchNodeResultType<{}>;
 
 export const dispatchUpdateVariable = async (props: Props): Promise<Response> => {
-  const { params, variables, runtimeNodes, workflowStreamResponse, externalProvider } = props;
+  const {
+    params,
+    variables,
+    runtimeNodes,
+    workflowStreamResponse,
+    externalProvider,
+    runningAppInfo
+  } = props;
 
   const { updateList } = params;
   const nodeIds = runtimeNodes.map((node) => node.nodeId);
@@ -78,10 +85,12 @@ export const dispatchUpdateVariable = async (props: Props): Promise<Response> =>
     return value;
   });
 
-  workflowStreamResponse?.({
-    event: SseResponseEventEnum.updateVariables,
-    data: removeSystemVariable(variables, externalProvider.externalWorkflowVariables)
-  });
+  if (!runningAppInfo.isChildApp) {
+    workflowStreamResponse?.({
+      event: SseResponseEventEnum.updateVariables,
+      data: removeSystemVariable(variables, externalProvider.externalWorkflowVariables)
+    });
+  }
 
   return {
     [DispatchNodeResponseKeyEnum.newVariables]: variables,

packages/service/core/workflow/dispatch/utils.ts

@@ -53,7 +53,8 @@ export const getWorkflowResponseWrite = ({
       [SseResponseEventEnum.toolCall]: 1,
       [SseResponseEventEnum.toolParams]: 1,
       [SseResponseEventEnum.toolResponse]: 1,
-      [SseResponseEventEnum.updateVariables]: 1
+      [SseResponseEventEnum.updateVariables]: 1,
+      [SseResponseEventEnum.flowNodeResponse]: 1
     };
     if (!detail && detailEvent[event]) return;
 

packages/service/package.json

@@ -7,6 +7,7 @@
     "@xmldom/xmldom": "^0.8.10",
     "@zilliz/milvus2-sdk-node": "2.4.2",
     "axios": "^1.8.2",
+    "bullmq": "^5.44.0",
     "chalk": "^5.3.0",
     "cheerio": "1.0.0-rc.12",
     "cookie": "^0.7.1",
@@ -18,6 +19,7 @@
     "file-type": "^19.0.0",
     "form-data": "^4.0.0",
     "iconv-lite": "^0.6.3",
+    "ioredis": "^5.6.0",
     "joplin-turndown-plugin-gfm": "^1.0.12",
     "json5": "^2.2.3",
     "jsonpath-plus": "^10.3.0",
@@ -27,7 +29,7 @@
     "mongoose": "^8.10.1",
     "multer": "1.4.5-lts.1",
     "mysql2": "^3.11.3",
-    "next": "14.2.25",
+    "next": "14.2.26",
     "nextjs-cors": "^2.2.0",
     "node-cron": "^3.0.3",
     "node-xlsx": "^0.24.0",

packages/service/tsconfig.json

@@ -1,7 +1,7 @@
 {
-  "extends":"../../tsconfig.json",
+  "extends": "../../tsconfig.json",
   "compilerOptions": {
     "baseUrl": "."
   },
-  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../**/*.d.ts"]
+  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../../**/*.d.ts"]
 }

packages/web/components/common/Icon/constants.ts

@@ -67,6 +67,7 @@ export const iconPaths = {
   'common/list': () => import('./icons/common/list.svg'),
   'common/loading': () => import('./icons/common/loading.svg'),
   'common/logLight': () => import('./icons/common/logLight.svg'),
+  'common/maximize': () => import('./icons/common/maximize.svg'),
   'common/microsoft': () => import('./icons/common/microsoft.svg'),
   'common/model': () => import('./icons/common/model.svg'),
   'common/monitor': () => import('./icons/common/monitor.svg'),
@@ -85,6 +86,7 @@ export const iconPaths = {
   'common/rightArrowFill': () => import('./icons/common/rightArrowFill.svg'),
   'common/rightArrowLight': () => import('./icons/common/rightArrowLight.svg'),
   'common/routePushLight': () => import('./icons/common/routePushLight.svg'),
+  'common/running': () => import('./icons/common/running.svg'),
   'common/saveFill': () => import('./icons/common/saveFill.svg'),
   'common/searchLight': () => import('./icons/common/searchLight.svg'),
   'common/select': () => import('./icons/common/select.svg'),
@@ -181,6 +183,7 @@ export const iconPaths = {
   'core/chat/feedback/goodLight': () => import('./icons/core/chat/feedback/goodLight.svg'),
   'core/chat/fileSelect': () => import('./icons/core/chat/fileSelect.svg'),
   'core/chat/finishSpeak': () => import('./icons/core/chat/finishSpeak.svg'),
+  'core/chat/backText':()  => import('./icons/core/chat/backText.svg'),
   'core/chat/imgSelect': () => import('./icons/core/chat/imgSelect.svg'),
   'core/chat/quoteFill': () => import('./icons/core/chat/quoteFill.svg'),
   'core/chat/quoteSign': () => import('./icons/core/chat/quoteSign.svg'),
@@ -423,6 +426,7 @@ export const iconPaths = {
   'plugins/dingding': () => import('./icons/plugins/dingding.svg'),
   'plugins/doc2x': () => import('./icons/plugins/doc2x.svg'),
   'plugins/qiwei': () => import('./icons/plugins/qiwei.svg'),
+  'plugins/email': () => import('./icons/plugins/email.svg'),
   'plugins/textEditor': () => import('./icons/plugins/textEditor.svg'),
   point: () => import('./icons/point.svg'),
   preview: () => import('./icons/preview.svg'),

packages/web/components/common/Icon/icons/change.svg

@@ -1,9 +1,9 @@
 <svg viewBox="0 0 13 12" fill="none" xmlns="http://www.w3.org/2000/svg">
 <g id="icon/line/change">
 <g id="Vector">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M3.23479 4.71964C3.23479 4.4435 3.45864 4.21964 3.73479 4.21964L11.0348 4.21964C11.3109 4.21964 11.5348 4.4435 11.5348 4.71964C11.5348 4.99579 11.3109 5.21964 11.0348 5.21964L3.73479 5.21964C3.45864 5.21964 3.23479 4.99579 3.23479 4.71964Z" fill="#3370FF"/>
-<path fill-rule="evenodd" clip-rule="evenodd" d="M8.70133 2.38619C8.89659 2.19093 9.21317 2.19093 9.40843 2.38619L11.3883 4.36609C11.5836 4.56135 11.5836 4.87794 11.3883 5.0732C11.1931 5.26846 10.8765 5.26846 10.6812 5.0732L8.70133 3.0933C8.50607 2.89804 8.50607 2.58145 8.70133 2.38619Z" fill="#3370FF"/>
-<path d="M1.84361 6.81774C1.78456 6.84214 1.72923 6.87834 1.68124 6.92633C1.63324 6.97433 1.59704 7.02965 1.57264 7.08871C1.54825 7.1476 1.53479 7.21217 1.53479 7.27989C1.53479 7.34768 1.54828 7.41232 1.57273 7.47128C1.59639 7.52847 1.63112 7.58215 1.67692 7.62907C1.67852 7.63071 1.68013 7.63234 1.68176 7.63396L3.66114 9.61334C3.8564 9.8086 4.17298 9.8086 4.36824 9.61334C4.5635 9.41808 4.5635 9.10149 4.36824 8.90623L3.2419 7.77989L9.33479 7.77989C9.61093 7.77989 9.83479 7.55603 9.83479 7.27989C9.83479 7.00374 9.61093 6.77989 9.33479 6.77989H2.03479C2.03325 6.77989 2.03171 6.77989 2.03017 6.77991C1.96414 6.7805 1.90117 6.7939 1.84361 6.81774Z" fill="#3370FF"/>
+<path fill-rule="evenodd" clip-rule="evenodd" d="M3.23479 4.71964C3.23479 4.4435 3.45864 4.21964 3.73479 4.21964L11.0348 4.21964C11.3109 4.21964 11.5348 4.4435 11.5348 4.71964C11.5348 4.99579 11.3109 5.21964 11.0348 5.21964L3.73479 5.21964C3.45864 5.21964 3.23479 4.99579 3.23479 4.71964Z"/>
+<path fill-rule="evenodd" clip-rule="evenodd" d="M8.70133 2.38619C8.89659 2.19093 9.21317 2.19093 9.40843 2.38619L11.3883 4.36609C11.5836 4.56135 11.5836 4.87794 11.3883 5.0732C11.1931 5.26846 10.8765 5.26846 10.6812 5.0732L8.70133 3.0933C8.50607 2.89804 8.50607 2.58145 8.70133 2.38619Z"/>
+<path d="M1.84361 6.81774C1.78456 6.84214 1.72923 6.87834 1.68124 6.92633C1.63324 6.97433 1.59704 7.02965 1.57264 7.08871C1.54825 7.1476 1.53479 7.21217 1.53479 7.27989C1.53479 7.34768 1.54828 7.41232 1.57273 7.47128C1.59639 7.52847 1.63112 7.58215 1.67692 7.62907C1.67852 7.63071 1.68013 7.63234 1.68176 7.63396L3.66114 9.61334C3.8564 9.8086 4.17298 9.8086 4.36824 9.61334C4.5635 9.41808 4.5635 9.10149 4.36824 8.90623L3.2419 7.77989L9.33479 7.77989C9.61093 7.77989 9.83479 7.55603 9.83479 7.27989C9.83479 7.00374 9.61093 6.77989 9.33479 6.77989H2.03479C2.03325 6.77989 2.03171 6.77989 2.03017 6.77991C1.96414 6.7805 1.90117 6.7939 1.84361 6.81774Z"/>
 </g>
 </g>
 </svg>

packages/web/components/common/Icon/icons/common/check.svg

@@ -1,3 +1,3 @@
-<svg xmlns="http://www.w3.org/2000/svg"  viewBox="0 0 11 10" fill="none">
-  <path fill-rule="evenodd" clip-rule="evenodd" d="M8.82531 2.05806C9.06939 1.81398 9.46512 1.81398 9.70919 2.05806C9.95327 2.30214 9.95327 2.69786 9.7092 2.94194L5.12586 7.52528C4.88178 7.76935 4.48606 7.76935 4.24198 7.52528L2.15864 5.44194C1.91457 5.19786 1.91457 4.80214 2.15864 4.55806C2.40272 4.31398 2.79845 4.31398 3.04253 4.55806L4.68392 6.19945L8.82531 2.05806Z" />
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 12 12" fill="none">
+  <path fill-rule="evenodd" clip-rule="evenodd" d="M9.46964 2.46967C9.76253 2.17678 10.2374 2.17678 10.5303 2.46967C10.8232 2.76256 10.8232 3.23744 10.5303 3.53033L5.0303 9.03033C4.73741 9.32322 4.26253 9.32322 3.96964 9.03033L1.46964 6.53033C1.17675 6.23744 1.17675 5.76256 1.46964 5.46967C1.76253 5.17678 2.23741 5.17678 2.5303 5.46967L4.49997 7.43934L9.46964 2.46967Z" />
 </svg>

packages/web/components/common/Icon/icons/common/maximize.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 10 11" fill="none">
+  <path fill-rule="evenodd" clip-rule="evenodd" d="M6.24998 2.22347C6.01986 2.22347 5.83331 2.03692 5.83331 1.8068C5.83331 1.57668 6.01986 1.39014 6.24998 1.39014H8.74998C8.9801 1.39014 9.16665 1.57668 9.16665 1.8068V4.3068C9.16665 4.53692 8.9801 4.72347 8.74998 4.72347C8.51986 4.72347 8.33331 4.53692 8.33331 4.3068V2.81273L6.12794 5.0181C5.96522 5.18082 5.7014 5.18082 5.53869 5.0181C5.37597 4.85538 5.37597 4.59156 5.53869 4.42884L7.74406 2.22347H6.24998ZM4.46127 6.09551C4.62399 6.25823 4.62399 6.52205 4.46127 6.68476L2.2559 8.89014H3.74998C3.9801 8.89014 4.16665 9.07669 4.16665 9.3068C4.16665 9.53692 3.9801 9.72347 3.74998 9.72347H1.24998C1.13947 9.72347 1.03349 9.67957 0.955352 9.60143C0.877212 9.52329 0.833313 9.41731 0.833313 9.3068L0.833313 6.8068C0.833313 6.57668 1.01986 6.39014 1.24998 6.39014C1.4801 6.39014 1.66665 6.57668 1.66665 6.8068L1.66665 8.30088L3.87202 6.09551C4.03474 5.93279 4.29856 5.93279 4.46127 6.09551Z" />
+</svg>

packages/web/components/common/Icon/icons/common/running.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="none">
+  <path fill-rule="evenodd" clip-rule="evenodd" d="M3.42335 9.70025C3.42335 6.06906 6.36701 3.1254 9.9982 3.1254C11.8153 3.1254 13.6728 3.9104 14.9391 5.32281C16.1863 6.71386 16.8964 8.75372 16.3686 11.3689C16.2731 11.8419 16.5792 12.3028 17.0522 12.3982C17.5252 12.4937 17.9861 12.1876 18.0815 11.7146C18.7147 8.57736 17.8683 5.97217 16.2402 4.15628C14.6313 2.36174 12.2949 1.37793 9.9982 1.37793C5.40191 1.37793 1.67588 5.10396 1.67588 9.70025C1.67588 11.6523 2.5328 14.2506 4.35082 15.8991L3.75846 15.8976C3.27592 15.8964 2.88375 16.2866 2.88253 16.7692C2.88132 17.2517 3.27152 17.6439 3.75407 17.6451L6.84117 17.6529C7.17714 17.6537 7.4693 17.4648 7.6162 17.1871C7.69971 17.0534 7.74807 16.8955 7.74833 16.7262L7.75314 13.6037C7.75388 13.1211 7.3633 12.7293 6.88075 12.7286C6.3982 12.7278 6.00641 13.1184 6.00567 13.601L6.00354 14.9858C4.32556 13.8215 3.42335 11.4678 3.42335 9.70025ZM16.8177 14.5519C16.8177 15.1962 16.2954 15.7185 15.651 15.7185C15.0067 15.7185 14.4844 15.1962 14.4844 14.5519C14.4844 13.9075 15.0067 13.3852 15.651 13.3852C16.2954 13.3852 16.8177 13.9075 16.8177 14.5519ZM12.6957 17.7912C13.3401 17.7912 13.8624 17.2689 13.8624 16.6246C13.8624 15.9802 13.3401 15.4579 12.6957 15.4579C12.0514 15.4579 11.5291 15.9802 11.5291 16.6246C11.5291 17.2689 12.0514 17.7912 12.6957 17.7912Z" fill="#3370FF"/>
+</svg>

packages/web/components/common/Icon/icons/core/chat/backText.svg

@@ -0,0 +1,4 @@
+<svg
+        class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" width="200" height="200">
+    <path d="M512 74.666667C270.933333 74.666667 74.666667 270.933333 74.666667 512S270.933333 949.333333 512 949.333333 949.333333 753.066667 949.333333 512 753.066667 74.666667 512 74.666667z m0 810.666666c-204.8 0-373.333333-168.533333-373.333333-373.333333S307.2 138.666667 512 138.666667 885.333333 307.2 885.333333 512 716.8 885.333333 512 885.333333z" fill="#666666"></path>
+    <path d="M448 437.333333c17.066667 0 32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32zM576 437.333333c17.066667 0 32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32zM320 437.333333c17.066667 0 32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32zM704 330.666667c-17.066667 0-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32s32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32zM448 586.666667c17.066667 0 32-14.933333 32-32v-42.666667c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32zM576 586.666667c17.066667 0 32-14.933333 32-32v-42.666667c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32zM352 554.666667v-42.666667c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32s32-14.933333 32-32zM704 480c-17.066667 0-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32s32-14.933333 32-32v-42.666667c0-17.066667-14.933333-32-32-32zM682.666667 650.666667H341.333333c-17.066667 0-32 14.933333-32 32s14.933333 32 32 32h341.333334c17.066667 0 32-14.933333 32-32s-14.933333-32-32-32z" fill="#666666" ></path></svg>

packages/web/components/common/Icon/icons/plugins/email.svg

@@ -0,0 +1,12 @@
+<?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="1739434077659" class="icon" viewBox="0 0 1024 1024" version="1.1"
+    xmlns="http://www.w3.org/2000/svg" p-id="1659"
+    xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200">
+    <path d="M102.4 409.6h819.2v409.6a102.4 102.4 0 0 1-102.4 102.4H204.8a102.4 102.4 0 0 1-102.4-102.4V409.6zM102.4 409.6h819.2L579.4816 110.1824a102.4 102.4 0 0 0-134.9632 0z" fill="#36C196" p-id="1660"></path>
+    <path d="M204.8 204.8h614.4a51.2 51.2 0 0 1 51.2 51.2v563.2H153.6V256a51.2 51.2 0 0 1 51.2-51.2z" fill="#FFBA40" p-id="1661"></path>
+    <path d="M316.5184 307.2m0 25.6l0 153.6q0 25.6-25.6 25.6l0 0q-25.6 0-25.6-25.6l0-153.6q0-25.6 25.6-25.6l0 0q25.6 0 25.6 25.6Z" fill="#FFFFFF" p-id="1662"></path>
+    <path d="M460.288 307.2m25.6 0l256 0q25.6 0 25.6 25.6l0 0q0 25.6-25.6 25.6l-256 0q-25.6 0-25.6-25.6l0 0q0-25.6 25.6-25.6Z" fill="#FFFFFF" p-id="1663"></path>
+    <path d="M613.888 409.6m25.6 0l102.4 0q25.6 0 25.6 25.6l0 0q0 25.6-25.6 25.6l-102.4 0q-25.6 0-25.6-25.6l0 0q0-25.6 25.6-25.6Z" fill="#FFFFFF" p-id="1664"></path>
+    <path d="M102.4 409.6v409.6a102.4 102.4 0 0 0 102.4 102.4h563.2z" fill="#2A44A1" p-id="1665"></path>
+    <path d="M921.6 409.6v409.6a102.4 102.4 0 0 1-102.4 102.4H256z" fill="#3D60F6" p-id="1666"></path>
+</svg>

packages/web/components/common/Input/NumberInput/index.tsx

@@ -26,23 +26,43 @@ const MyNumberInput = (props: Props) => {
     <NumberInput
       {...restProps}
       onBlur={(e) => {
-        if (!onBlur) return;
         const numE = Number(e.target.value);
-        if (isNaN(numE)) {
-          // @ts-ignore
-          onBlur('');
-        } else {
-          onBlur(numE);
+        if (onBlur) {
+          if (isNaN(numE)) {
+            // @ts-ignore
+            onBlur('');
+          } else {
+            onBlur(numE);
+          }
+        }
+        if (register && name) {
+          const event = {
+            target: {
+              name,
+              value: numE
+            }
+          };
+          register(name).onBlur(event);
         }
       }}
       onChange={(e) => {
-        if (!onChange) return;
         const numE = Number(e);
-        if (isNaN(numE)) {
-          // @ts-ignore
-          onChange('');
-        } else {
-          onChange(numE);
+        if (onChange) {
+          if (isNaN(numE)) {
+            // @ts-ignore
+            onChange('');
+          } else {
+            onChange(numE);
+          }
+        }
+        if (register && name) {
+          const event = {
+            target: {
+              name,
+              value: numE
+            }
+          };
+          register(name).onChange(event);
         }
       }}
     >

packages/web/components/common/Tag/index.tsx

@@ -1,5 +1,5 @@
 import React, { useMemo } from 'react';
-import { Box, Flex, type FlexProps } from '@chakra-ui/react';
+import { Box, BoxProps, Flex, type FlexProps } from '@chakra-ui/react';
 
 type ColorSchemaType = 'white' | 'blue' | 'green' | 'red' | 'yellow' | 'gray' | 'purple' | 'adora';
 
@@ -8,6 +8,7 @@ export type TagProps = FlexProps & {
   colorSchema?: ColorSchemaType;
   type?: 'fill' | 'borderFill' | 'borderSolid';
   showDot?: boolean;
+  DotStyles?: BoxProps;
 };
 
 const colorMap: Record<
@@ -60,7 +61,14 @@ const colorMap: Record<
   }
 };
 
-const MyTag = ({ children, colorSchema = 'blue', type = 'fill', showDot, ...props }: TagProps) => {
+const MyTag = ({
+  children,
+  colorSchema = 'blue',
+  type = 'fill',
+  showDot,
+  DotStyles,
+  ...props
+}: TagProps) => {
   const theme = useMemo(() => {
     return colorMap[colorSchema];
   }, [colorSchema]);
@@ -81,7 +89,9 @@ const MyTag = ({ children, colorSchema = 'blue', type = 'fill', showDot, ...prop
       bg={type !== 'borderSolid' ? theme.bg : 'transparent'}
       {...props}
     >
-      {showDot && <Box w={1.5} h={1.5} borderRadius={'md'} bg={theme.color} mr={1.5}></Box>}
+      {showDot && (
+        <Box w={1.5} h={1.5} borderRadius={'md'} bg={theme.color} mr={1.5} {...DotStyles}></Box>
+      )}
       {children}
     </Flex>
   );

packages/web/hooks/useScrollPagination.tsx

@@ -308,7 +308,13 @@ export function useScrollPagination<
       );
 
       return (
-        <MyBox ref={ref} h={'100%'} overflow={'auto'} isLoading={isLoading} {...props}>
+        <MyBox
+          ref={ref}
+          h={'100%'}
+          overflow={'auto'}
+          isLoading={isLoading || isLoadingProp}
+          {...props}
+        >
           {scrollLoadType === 'top' && total > 0 && isLoading && (
             <Box mt={2} fontSize={'xs'} color={'blackAlpha.500'} textAlign={'center'}>
               {t('common:common.is_requesting')}

packages/web/i18n/en/chat.json

@@ -3,6 +3,7 @@
   "Delete_all": "Clear All Lexicon",
   "LLM_model_response_empty": "The model flow response is empty, please check whether the model flow output is normal.",
   "ai_reasoning": "Thinking process",
+  "back_to_text": "Text input",
   "chat.quote.No Data": "The file cannot be found",
   "chat.quote.deleted": "This data has been deleted ~",
   "chat_history": "Conversation History",
@@ -10,12 +11,22 @@
   "chat_test_app": "Debug-{{name}}",
   "citations": "{{num}} References",
   "click_contextual_preview": "Click to see contextual preview",
+  "completion_finish_close": "Disconnection",
+  "completion_finish_content_filter": "Trigger safe wind control",
+  "completion_finish_function_call": "Function Calls",
+  "completion_finish_length": "Reply limit exceeded",
+  "completion_finish_null": "unknown",
+  "completion_finish_reason": "Reason for completion",
+  "completion_finish_stop": "Completed normally",
+  "completion_finish_tool_calls": "Tool calls",
   "config_input_guide": "Set Up Input Guide",
   "config_input_guide_lexicon": "Set Up Lexicon",
   "config_input_guide_lexicon_title": "Set Up Lexicon",
   "content_empty": "No Content",
   "contextual": "{{num}} Contexts",
   "contextual_preview": "Contextual Preview {{num}} Items",
+  "core.chat.moveCancel": "Swipe to Cancel",
+  "core.chat.shortSpeak": "Speaking Time is Too Short",
   "csv_input_lexicon_tip": "Only CSV batch import is supported, click to download the template",
   "custom_input_guide_url": "Custom Lexicon URL",
   "data_source": "Source Dataset: {{name}}",
@@ -41,11 +52,14 @@
   "not_query": "Missing query content",
   "not_select_file": "No file selected",
   "plugins_output": "Plugin Output",
+  "press_to_speak": "Hold down to speak",
   "query_extension_IO_tokens": "Problem Optimization Input/Output Tokens",
   "query_extension_result": "Problem optimization results",
   "question_tip": "From top to bottom, the response order of each module",
   "read_raw_source": "Open the original text",
   "reasoning_text": "Thinking process",
+  "release_cancel": "Release Cancel",
+  "release_send": "Release send, slide up to cancel",
   "response.child total points": "Sub-workflow point consumption",
   "response.dataset_concat_length": "Combined total",
   "response.node_inputs": "Node Inputs",

packages/web/i18n/en/common.json

@@ -1,5 +1,6 @@
 {
   "App": "Application",
+  "Click_to_expand": "Click to expand",
   "Download": "Download",
   "Export": "Export",
   "FAQ.ai_point_a": "Each time you use the AI model, a certain amount of AI points will be deducted. For detailed calculation standards, please refer to the 'AI Points Calculation Standards' above.\nToken calculation uses the same formula as GPT-3.5, where 1 Token ≈ 0.7 Chinese characters ≈ 0.9 English words. Consecutive characters may be considered as 1 Token.",
@@ -511,7 +512,7 @@
   "core.dataset.Query extension intro": "Enabling the question optimization function can improve the accuracy of Dataset searches during continuous conversations. After enabling this function, when performing Dataset searches, the AI will complete the missing information of the question based on the conversation history.",
   "core.dataset.Quote Length": "Quote Content Length",
   "core.dataset.Read Dataset": "View Dataset Details",
-  "core.dataset.Set Website Config": "Start Configuring Website Information",
+  "core.dataset.Set Website Config": "Start Configuring",
   "core.dataset.Start export": "Export Started",
   "core.dataset.Table collection": "Table Dataset",
   "core.dataset.Text collection": "Text Dataset",
@@ -527,7 +528,6 @@
   "core.dataset.collection.Website Empty Tip": "No Website Associated Yet",
   "core.dataset.collection.Website Link": "Website Address",
   "core.dataset.collection.id": "Collection ID",
-  "core.dataset.collection.metadata.Chunk Size": "Chunk Size",
   "core.dataset.collection.metadata.Createtime": "Creation Time",
   "core.dataset.collection.metadata.Raw text length": "Raw Text Length",
   "core.dataset.collection.metadata.Updatetime": "Update Time",
@@ -538,6 +538,7 @@
   "core.dataset.collection.metadata.source name": "Source Name",
   "core.dataset.collection.metadata.source size": "Source Size",
   "core.dataset.collection.status.active": "Ready",
+  "core.dataset.collection.status.error": "Error",
   "core.dataset.collection.sync.result.sameRaw": "Content Unchanged, No Update Needed",
   "core.dataset.collection.sync.result.success": "Sync Started",
   "core.dataset.data.Data Content": "Related Data Content",
@@ -628,6 +629,7 @@
   "core.dataset.search.search mode": "Search Method",
   "core.dataset.status.active": "Ready",
   "core.dataset.status.syncing": "Syncing",
+  "core.dataset.status.waiting": "Waiting",
   "core.dataset.test.Batch test": "Batch Test",
   "core.dataset.test.Batch test Placeholder": "Select a CSV File",
   "core.dataset.test.Search Test": "Search Test",

packages/web/i18n/en/dataset.json

@@ -7,6 +7,7 @@
   "auto_indexes_tips": "Additional index generation is performed through large models to improve semantic richness and improve retrieval accuracy.",
   "auto_training_queue": "Enhanced index queueing",
   "chunk_max_tokens": "max_tokens",
+  "chunk_size": "Block size",
   "close_auto_sync": "Are you sure you want to turn off automatic sync?",
   "collection.Create update time": "Creation/Update Time",
   "collection.Training type": "Training",
@@ -28,9 +29,24 @@
   "custom_data_process_params_desc": "Customize data processing rules",
   "custom_split_sign_tip": "Allows you to chunk according to custom delimiters. \nUsually used for processed data, using specific separators for precise chunking. \nYou can use the | symbol to represent multiple splitters, such as: \".|.\" to represent a period in Chinese and English.\n\nTry to avoid using special symbols related to regular, such as: * () [] {}, etc.",
   "data_amount": "{{dataAmount}} Datas, {{indexAmount}} Indexes",
+  "data_error_amount": "{{errorAmount}} Group training exception",
   "data_index_num": "Index {{index}}",
   "data_process_params": "Params",
   "data_process_setting": "Processing config",
+  "dataset.Chunk_Number": "Block number",
+  "dataset.Completed": "Finish",
+  "dataset.Delete_Chunk": "delete",
+  "dataset.Edit_Chunk": "edit",
+  "dataset.Error_Message": "Report an error message",
+  "dataset.No_Error": "No exception information yet",
+  "dataset.Operation": "operate",
+  "dataset.ReTrain": "Retrain",
+  "dataset.Training Process": "Training status",
+  "dataset.Training_Count": "{{count}} Group training",
+  "dataset.Training_Errors": "Errors",
+  "dataset.Training_QA": "{{count}} Group Q&A pair training",
+  "dataset.Training_Status": "Training status",
+  "dataset.Training_Waiting": "Need to wait for {{count}} group data",
   "dataset.Unsupported operation": "dataset.Unsupported operation",
   "dataset.no_collections": "No datasets available",
   "dataset.no_tags": "No tags available",
@@ -55,6 +71,7 @@
   "image_auto_parse": "Automatic image indexing",
   "image_auto_parse_tips": "Call VLM to automatically label the pictures in the document and generate additional search indexes",
   "image_training_queue": "Queue of image processing",
+  "immediate_sync": "Immediate Synchronization",
   "import.Auto mode Estimated Price Tips": "The text understanding model needs to be called, which requires more points: {{price}} points/1K tokens",
   "import.Embedding Estimated Price Tips": "Only use the index model and consume a small amount of AI points: {{price}} points/1K tokens",
   "import_confirm": "Confirm upload",
@@ -71,6 +88,7 @@
   "keep_image": "Keep the picture",
   "move.hint": "After moving, the selected knowledge base/folder will inherit the permission settings of the new folder, and the original permission settings will become invalid.",
   "open_auto_sync": "After scheduled synchronization is turned on, the system will try to synchronize the collection from time to time every day. During the collection synchronization period, the collection data will not be searched.",
+  "params_config": "Config",
   "params_setting": "Parameter settings",
   "pdf_enhance_parse": "PDF enhancement analysis",
   "pdf_enhance_parse_price": "{{price}} points/page",
@@ -82,6 +100,13 @@
   "preview_chunk_empty": "Unable to read the contents of the file",
   "preview_chunk_intro": "A total of {{total}} blocks, up to 10",
   "preview_chunk_not_selected": "Click on the file on the left to preview",
+  "process.Auto_Index": "Automatic index generation",
+  "process.Get QA": "Q&A extraction",
+  "process.Image_Index": "Image index generation",
+  "process.Is_Ready": "Ready",
+  "process.Parsing": "Parsing",
+  "process.Vectorizing": "Index vectorization",
+  "process.Waiting": "Queue",
   "rebuild_embedding_start_tip": "Index model switching task has started",
   "rebuilding_index_count": "Number of indexes being rebuilt: {{count}}",
   "request_headers": "Request headers, will automatically append 'Bearer '",
@@ -114,11 +139,15 @@
   "tag.total_tags": "Total {{total}} tags",
   "the_knowledge_base_has_indexes_that_are_being_trained_or_being_rebuilt": "The Dataset has indexes that are being trained or rebuilt",
   "total_num_files": "Total {{total}} files",
+  "training.Error": "{{count}} Group exception",
+  "training.Normal": "Normal",
   "training_mode": "Chunk mode",
+  "training_ready": "{{count}} Group",
   "vector_model_max_tokens_tip": "Each chunk of data has a maximum length of 3000 tokens",
   "vllm_model": "Image understanding model",
   "website_dataset": "Website Sync",
   "website_dataset_desc": "Website sync allows you to build a Dataset directly using a web link.",
+  "website_info": "Website Information",
   "yuque_dataset": "Yuque Dataset",
   "yuque_dataset_config": "Yuque Dataset Config",
   "yuque_dataset_desc": "Can build a dataset using Yuque documents by configuring permissions, without secondary storage"

packages/web/i18n/zh-CN/chat.json

@@ -3,6 +3,7 @@
   "Delete_all": "清空词库",
   "LLM_model_response_empty": "模型流响应为空，请检查模型流输出是否正常",
   "ai_reasoning": "思考过程",
+  "back_to_text": "返回输入",
   "chat.quote.No Data": "找不到该文件",
   "chat.quote.deleted": "该数据已被删除～",
   "chat_history": "聊天记录",
@@ -10,12 +11,22 @@
   "chat_test_app": "调试-{{name}}",
   "citations": "{{num}}条引用",
   "click_contextual_preview": "点击查看上下文预览",
+  "completion_finish_close": "连接断开",
+  "completion_finish_content_filter": "触发安全风控",
+  "completion_finish_function_call": "函数调用",
+  "completion_finish_length": "超出回复限制",
+  "completion_finish_null": "未知",
+  "completion_finish_reason": "完成原因",
+  "completion_finish_stop": "正常完成",
+  "completion_finish_tool_calls": "工具调用",
   "config_input_guide": "配置输入引导",
   "config_input_guide_lexicon": "配置词库",
   "config_input_guide_lexicon_title": "配置词库",
   "content_empty": "内容为空",
   "contextual": "{{num}}条上下文",
   "contextual_preview": "上下文预览 {{num}} 条",
+  "core.chat.moveCancel": "上滑取消",
+  "core.chat.shortSpeak": "说话时间太短",
   "csv_input_lexicon_tip": "仅支持 CSV 批量导入，点击下载模板",
   "custom_input_guide_url": "自定义词库地址",
   "data_source": "来源知识库: {{name}}",
@@ -41,11 +52,14 @@
   "not_query": "缺少查询内容",
   "not_select_file": "未选择文件",
   "plugins_output": "插件输出",
+  "press_to_speak": "按住说话",
   "query_extension_IO_tokens": "问题优化输入/输出 Tokens",
   "query_extension_result": "问题优化结果",
   "question_tip": "从上到下，为各个模块的响应顺序",
   "read_raw_source": "打开原文",
   "reasoning_text": "思考过程",
+  "release_cancel": "松开取消",
+  "release_send": "松开发送，上滑取消",
   "response.child total points": "子工作流积分消耗",
   "response.dataset_concat_length": "合并后总数",
   "response.node_inputs": "节点输入",

packages/web/i18n/zh-CN/common.json

@@ -1,5 +1,6 @@
 {
   "App": "应用",
+  "Click_to_expand": "点击查看详情",
   "Download": "下载",
   "Export": "导出",
   "FAQ.ai_point_a": "每次调用AI模型时，都会消耗一定的AI积分。具体的计算标准可参考上方的“AI 积分计算标准”。\nToken计算采用GPT3.5相同公式，1Token≈0.7中文字符≈0.9英文单词，连续出现的字符可能被认为是1个Tokens。",
@@ -514,7 +515,7 @@
   "core.dataset.Query extension intro": "开启问题优化功能，可以提高提高连续对话时，知识库搜索的精度。开启该功能后，在进行知识库搜索时，会根据对话记录，利用 AI 补全问题缺失的信息。",
   "core.dataset.Quote Length": "引用内容长度",
   "core.dataset.Read Dataset": "查看知识库详情",
-  "core.dataset.Set Website Config": "开始配置网站信息",
+  "core.dataset.Set Website Config": "开始配置",
   "core.dataset.Start export": "已开始导出",
   "core.dataset.Table collection": "表格数据集",
   "core.dataset.Text collection": "文本数据集",
@@ -530,7 +531,6 @@
   "core.dataset.collection.Website Empty Tip": "还没有关联网站",
   "core.dataset.collection.Website Link": "Web 站点地址",
   "core.dataset.collection.id": "集合 ID",
-  "core.dataset.collection.metadata.Chunk Size": "分割大小",
   "core.dataset.collection.metadata.Createtime": "创建时间",
   "core.dataset.collection.metadata.Raw text length": "原文长度",
   "core.dataset.collection.metadata.Updatetime": "更新时间",
@@ -541,6 +541,7 @@
   "core.dataset.collection.metadata.source name": "来源名",
   "core.dataset.collection.metadata.source size": "来源大小",
   "core.dataset.collection.status.active": "已就绪",
+  "core.dataset.collection.status.error": "训练异常",
   "core.dataset.collection.sync.result.sameRaw": "内容未变动，无需更新",
   "core.dataset.collection.sync.result.success": "开始同步",
   "core.dataset.data.Data Content": "相关数据内容",
@@ -631,6 +632,7 @@
   "core.dataset.search.search mode": "搜索方式",
   "core.dataset.status.active": "已就绪",
   "core.dataset.status.syncing": "同步中",
+  "core.dataset.status.waiting": "排队中",
   "core.dataset.test.Batch test": "批量测试",
   "core.dataset.test.Batch test Placeholder": "选择一个 CSV 文件",
   "core.dataset.test.Search Test": "搜索测试",
@@ -1289,4 +1291,4 @@
   "yes": "是",
   "yesterday": "昨天",
   "yesterday_detail_time": "昨天 {{time}}"
-}
+}

packages/web/i18n/zh-CN/dataset.json

@@ -7,6 +7,7 @@
   "auto_indexes_tips": "通过大模型进行额外索引生成，提高语义丰富度，提高检索的精度。",
   "auto_training_queue": "增强索引排队",
   "chunk_max_tokens": "分块上限",
+  "chunk_size": "分块大小",
   "close_auto_sync": "确认关闭自动同步功能？",
   "collection.Create update time": "创建/更新时间",
   "collection.Training type": "训练模式",
@@ -28,9 +29,24 @@
   "custom_data_process_params_desc": "自定义设置数据处理规则",
   "custom_split_sign_tip": "允许你根据自定义的分隔符进行分块。通常用于已处理好的数据，使用特定的分隔符来精确分块。可以使用 | 符号表示多个分割符，例如：“。|.” 表示中英文句号。\n尽量避免使用正则相关特殊符号，例如: * () [] {} 等。",
   "data_amount": "{{dataAmount}} 组数据, {{indexAmount}} 组索引",
+  "data_error_amount": "{{errorAmount}} 组训练异常",
   "data_index_num": "索引 {{index}}",
   "data_process_params": "处理参数",
   "data_process_setting": "数据处理配置",
+  "dataset.Chunk_Number": "分块号",
+  "dataset.Completed": "完成",
+  "dataset.Delete_Chunk": "删除",
+  "dataset.Edit_Chunk": "编辑",
+  "dataset.Error_Message": "报错信息",
+  "dataset.No_Error": "暂无异常信息",
+  "dataset.Operation": "操作",
+  "dataset.ReTrain": "重试",
+  "dataset.Training Process": "训练状态",
+  "dataset.Training_Count": "{{count}} 组训练中",
+  "dataset.Training_Errors": "异常 ({{count}})",
+  "dataset.Training_QA": "{{count}} 组问答对训练中",
+  "dataset.Training_Status": "训练状态",
+  "dataset.Training_Waiting": "需等待 {{count}} 组数据",
   "dataset.Unsupported operation": "操作不支持",
   "dataset.no_collections": "暂无数据集",
   "dataset.no_tags": "暂无标签",
@@ -55,6 +71,7 @@
   "image_auto_parse": "图片自动索引",
   "image_auto_parse_tips": "调用 VLM 自动标注文档里的图片，并生成额外的检索索引",
   "image_training_queue": "图片处理排队",
+  "immediate_sync": "立即同步",
   "import.Auto mode Estimated Price Tips": "需调用文本理解模型，需要消耗较多AI 积分：{{price}} 积分/1K tokens",
   "import.Embedding Estimated Price Tips": "仅使用索引模型，消耗少量 AI 积分：{{price}} 积分/1K tokens",
   "import_confirm": "确认上传",
@@ -71,6 +88,7 @@
   "keep_image": "保留图片",
   "move.hint": "移动后，所选知识库/文件夹将继承新文件夹的权限设置，原先的权限设置失效。",
   "open_auto_sync": "开启定时同步后，系统将会每天不定时尝试同步集合，集合同步期间，会出现无法搜索到该集合数据现象。",
+  "params_config": "配置",
   "params_setting": "参数设置",
   "pdf_enhance_parse": "PDF增强解析",
   "pdf_enhance_parse_price": "{{price}}积分/页",
@@ -82,6 +100,14 @@
   "preview_chunk_empty": "无法读取该文件内容",
   "preview_chunk_intro": "共 {{total}} 个分块，最多展示 10 个",
   "preview_chunk_not_selected": "点击左侧文件后进行预览",
+  "process.Auto_Index": "自动索引生成",
+  "process.Get QA": "问答对提取",
+  "process.Image_Index": "图片索引生成",
+  "process.Is_Ready": "已就绪",
+  "process.Is_Ready_Count": "{{count}} 组已就绪",
+  "process.Parsing": "内容解析中",
+  "process.Vectorizing": "索引向量化",
+  "process.Waiting": "排队中",
   "rebuild_embedding_start_tip": "切换索引模型任务已开始",
   "rebuilding_index_count": "重建中索引数量：{{count}}",
   "request_headers": "请求头参数，会自动补充 Bearer",
@@ -114,11 +140,15 @@
   "tag.total_tags": "共{{total}}个标签",
   "the_knowledge_base_has_indexes_that_are_being_trained_or_being_rebuilt": "知识库有训练中或正在重建的索引",
   "total_num_files": "共 {{total}} 个文件",
+  "training.Error": "{{count}} 组异常",
+  "training.Normal": "正常",
   "training_mode": "处理方式",
+  "training_ready": "{{count}} 组",
   "vector_model_max_tokens_tip": "每个分块数据，最大长度为 3000 tokens",
   "vllm_model": "图片理解模型",
   "website_dataset": "Web 站点同步",
   "website_dataset_desc": "Web 站点同步允许你直接使用一个网页链接构建知识库",
+  "website_info": "网站信息",
   "yuque_dataset": "语雀知识库",
   "yuque_dataset_config": "配置语雀知识库",
   "yuque_dataset_desc": "可通过配置语雀文档权限，使用语雀文档构建知识库，文档不会进行二次存储"

packages/web/i18n/zh-Hant/chat.json

@@ -3,6 +3,7 @@
   "Delete_all": "清除所有詞彙",
   "LLM_model_response_empty": "模型流程回應為空，請檢查模型流程輸出是否正常",
   "ai_reasoning": "思考過程",
+  "back_to_text": "返回輸入",
   "chat.quote.No Data": "找不到該文件",
   "chat.quote.deleted": "該數據已被刪除～",
   "chat_history": "對話紀錄",
@@ -10,6 +11,14 @@
   "chat_test_app": "調試-{{name}}",
   "citations": "{{num}} 筆引用",
   "click_contextual_preview": "點選檢視上下文預覽",
+  "completion_finish_close": "連接斷開",
+  "completion_finish_content_filter": "觸發安全風控",
+  "completion_finish_function_call": "函數調用",
+  "completion_finish_length": "超出回复限制",
+  "completion_finish_null": "未知",
+  "completion_finish_reason": "完成原因",
+  "completion_finish_stop": "正常完成",
+  "completion_finish_tool_calls": "工具調用",
   "config_input_guide": "設定輸入導引",
   "config_input_guide_lexicon": "設定詞彙庫",
   "config_input_guide_lexicon_title": "設定詞彙庫",
@@ -35,16 +44,20 @@
   "is_chatting": "對話進行中...請稍候",
   "items": "筆",
   "module_runtime_and": "模組執行總時間",
+  "moveCancel": "上滑取消",
   "multiple_AI_conversations": "多組 AI 對話",
   "new_input_guide_lexicon": "新增詞彙庫",
   "no_workflow_response": "無工作流程資料",
   "not_query": "缺少查詢內容",
   "not_select_file": "尚未選取檔案",
   "plugins_output": "外掛程式輸出",
+  "press_to_speak": "按住說話",
   "query_extension_IO_tokens": "問題優化輸入/輸出 Tokens",
   "question_tip": "由上至下，各個模組的回應順序",
   "read_raw_source": "打開原文",
   "reasoning_text": "思考過程",
+  "release_cancel": "鬆開取消",
+  "release_send": "鬆開發送，上滑取消",
   "response.child total points": "子工作流程點數消耗",
   "response.dataset_concat_length": "合併總數",
   "response.node_inputs": "節點輸入",
@@ -53,6 +66,7 @@
   "select_file": "上傳檔案",
   "select_file_img": "上傳檔案 / 圖片",
   "select_img": "上傳圖片",
+  "shortSpeak ": "說話時間太短",
   "source_cronJob": "定時執行",
   "stream_output": "串流輸出",
   "to_dataset": "前往知識庫",