update doc (#4460)

* update preview action

* update doc

* remove

* update

* schema

.github/sync_imgs.yml

@@ -1,4 +1,4 @@
 yangchuansheng/fastgpt-imgs:
   - source: docSite/assets/imgs/
     dest: imgs/
-    deleteOrphaned: true
+    deleteOrphaned: true

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

@@ -73,7 +73,7 @@ jobs:
 
   update-docs-image:
     needs: build-fastgpt-docs-images
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-20.04
     if: github.repository == 'labring/FastGPT'
     steps:
       - name: Checkout code

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

@@ -1,4 +1,4 @@
-name: Deploy doc image to cf
+name: Deploy doc image to vercel
 
 on:
   workflow_dispatch:
@@ -18,7 +18,7 @@ jobs:
       url: ${{ steps.vercel-action.outputs.preview-url }}
 
     # The type of runner that the job will run on
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-22.04
 
     permissions:
       contents: write
@@ -63,6 +63,18 @@ 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
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
+          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
+          github-comment: false
+          vercel-args: '--prod --local-config ../vercel.json' # Optional
+          working-directory: docSite/public
+
       - name: Deploy to GitHub Pages
         uses: peaceiris/actions-gh-pages@v4
         if: github.ref == 'refs/heads/main'

.github/workflows/docs-preview.yml

@@ -1,7 +1,7 @@
 name: Preview FastGPT docs
 
 on:
-  pull_request_target:
+  pull_request:
     paths:
       - 'docSite/**'
   workflow_dispatch:
@@ -22,7 +22,7 @@ jobs:
       url: ${{ steps.vercel-action.outputs.preview-url }}
 
     # The type of runner that the job will run on
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-22.04
 
     # Job outputs
     outputs:
@@ -50,6 +50,10 @@ jobs:
               - 'docSite/content/docs/**'
           base: main
 
+      - name: Add cdn for images
+        run: |
+          sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/zh-cn/docs)
+
       # Step 3 - Install Hugo (specific version)
       - name: Install Hugo
         uses: peaceiris/actions-hugo@v2
@@ -61,6 +65,9 @@ jobs:
       - name: Build
         run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs@6d0568e && hugo -v --minify
 
+      - name: Test
+        run: ls ./docSite/public
+
       # Step 5 - Push our generated site to Cloudflare
       - name: Deploy to Cloudflare Pages
         id: deploy

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

@@ -14,7 +14,7 @@ jobs:
       contents: read
       attestations: write
       id-token: write
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-20.04
     if: github.repository != 'labring/FastGPT'
     steps:
       - name: Checkout

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

@@ -1,14 +1,12 @@
 name: Build FastGPT images
-
 on:
   workflow_dispatch:
   push:
     paths:
-      - "projects/app/**"
+      - 'projects/app/**'
-      - "packages/**"
+      - 'packages/**'
     tags:
-      - "v*"
+      - 'v*'
-
 jobs:
   build-fastgpt-images:
     permissions:
@@ -16,156 +14,260 @@ jobs:
       contents: read
       attestations: write
       id-token: write
-    strategy:
+    runs-on: ubuntu-20.04
-      matrix:
-        sub_routes:
-          - repo: fastgpt
-            base_url: ""
-          - repo: fastgpt-sub-route
-            base_url: "/fastai"
-          - repo: fastgpt-sub-route-gchat
-            base_url: "/gchat"
-        archs:
-          - arch: amd64
-          - arch: arm64
-            runs-on: ubuntu-24.04-arm
-    runs-on: ${{ matrix.archs.runs-on || 'ubuntu-24.04' }}
     steps:
       # install env
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
         with:
           fetch-depth: 1
-
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@v2
         with:
           driver-opts: network=host
-
       - name: Cache Docker layers
         uses: actions/cache@v4
         with:
           path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-${{ matrix.sub_routes.repo }}-buildx-${{ github.sha }}
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
           restore-keys: |
-            ${{ runner.os }}-${{ matrix.sub_routes.repo }}-buildx-
+            ${{ runner.os }}-buildx-
 
       # login docker
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           registry: registry.cn-hangzhou.aliyuncs.com
           username: ${{ secrets.ALI_HUB_USERNAME }}
           password: ${{ secrets.ALI_HUB_PASSWORD }}
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           username: ${{ secrets.DOCKER_HUB_NAME }}
           password: ${{ secrets.DOCKER_HUB_PASSWORD }}
 
-      - name: Build for ${{ matrix.archs.arch }}
+      # Set tag
-        id: build
+      - name: Set image name and tag
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          file: projects/app/Dockerfile
-          platforms: linux/${{ matrix.archs.arch }}
-          build-args: |
-            ${{ matrix.sub_routes.base_url && format('base_url={0}', matrix.sub_routes.base_url) || '' }}
-          labels: |
-            org.opencontainers.image.source=https://github.com/${{ github.repository }}
-            org.opencontainers.image.description=${{ matrix.sub_routes.repo }} image
-          outputs: type=image,"name=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }},${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }},${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}",push-by-digest=true,push=true
-          cache-from: type=local,src=/tmp/.buildx-cache
-          cache-to: type=local,dest=/tmp/.buildx-cache
-
-      - name: Export digest
         run: |
-          mkdir -p ${{ runner.temp }}/digests/${{ matrix.sub_routes.repo }}
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
-          digest="${{ steps.build.outputs.digest }}"
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
-          touch "${{ runner.temp }}/digests/${{ matrix.sub_routes.repo }}/${digest#sha256:}"
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+          else
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
+          fi
 
-      - name: Upload digest
+      - name: Build and publish image for main branch or tag push event
-        uses: actions/upload-artifact@v4
+        env:
-        with:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
-          name: digests-${{ matrix.sub_routes.repo }}-${{ github.sha }}-${{ matrix.archs.arch }}
+        run: |
-          path: ${{ runner.temp }}/digests/${{ matrix.sub_routes.repo }}/*
+          docker buildx build \
-          if-no-files-found: error
+          -f projects/app/Dockerfile \
-          retention-days: 1
+          --platform linux/amd64,linux/arm64 \
-
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-  release-fastgpt-images:
+          --label "org.opencontainers.image.description=fastgpt image" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
+          .
+  build-fastgpt-images-sub-route:
     permissions:
       packages: write
       contents: read
       attestations: write
       id-token: write
-    needs: build-fastgpt-images
+    runs-on: ubuntu-20.04
-    strategy:
-      matrix:
-        sub_routes:
-          - repo: fastgpt
-          - repo: fastgpt-sub-route
-          - repo: fastgpt-sub-route-gchat
-    runs-on: ubuntu-24.04
     steps:
+      # install env
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 1
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v4
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
+
+      # login docker
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           registry: registry.cn-hangzhou.aliyuncs.com
           username: ${{ secrets.ALI_HUB_USERNAME }}
           password: ${{ secrets.ALI_HUB_PASSWORD }}
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           username: ${{ secrets.DOCKER_HUB_NAME }}
           password: ${{ secrets.DOCKER_HUB_PASSWORD }}
 
-      - name: Download digests
+      # Set tag
-        uses: actions/download-artifact@v4
-        with:
-          path: ${{ runner.temp }}/digests
-          pattern: digests-${{ matrix.sub_routes.repo }}-${{ github.sha }}-*
-          merge-multiple: true
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
       - name: Set image name and tag
         run: |
           if [[ "${{ github.ref_name }}" == "main" ]]; then
-            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
           else
-            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
           fi
 
-      - name: Create manifest list and push
+      - name: Build and publish image for main branch or tag push event
-        working-directory: ${{ runner.temp }}/digests
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
         run: |
-          TAGS="$(echo -e "${Git_Tag}\n${Git_Latest}\n${Ali_Tag}\n${Ali_Latest}\n${Docker_Hub_Tag}\n${Docker_Hub_Latest}")"
+          docker buildx build \
-          for TAG in $TAGS; do
+          -f projects/app/Dockerfile \
-            docker buildx imagetools create -t $TAG \
+          --platform linux/amd64,linux/arm64 \
-              $(printf 'ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}@sha256:%s ' *)
+          --build-arg base_url=/fastai \
-            sleep 5
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          done
+          --label "org.opencontainers.image.description=fastgpt image" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -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
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 1
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v4
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
+
+      # login docker
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      - name: Login to Ali Hub
+        uses: docker/login-action@v2
+        with:
+          registry: registry.cn-hangzhou.aliyuncs.com
+          username: ${{ secrets.ALI_HUB_USERNAME }}
+          password: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_HUB_NAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+
+      # Set tag
+      - name: Set image name and tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+          else
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route-gchat:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route-gchat:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route-gchat:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route-gchat:latest" >> $GITHUB_ENV
+          fi
+
+      - name: Build and publish image for main branch or tag push event
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+        run: |
+          docker buildx build \
+          -f projects/app/Dockerfile \
+          --platform linux/amd64,linux/arm64 \
+          --build-arg base_url=/gchat \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt-sub-route-gchat image" \
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
+          .

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

@@ -12,33 +12,26 @@ jobs:
       id-token: write
       pull-requests: write
 
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-20.04
-    strategy:
-      matrix:
-        image: [fastgpt, sandbox, mcp_server]
-      fail-fast: false # 即使一个镜像构建失败，也继续构建其他镜像
-
     steps:
       - name: Checkout
         uses: actions/checkout@v3
         with:
           ref: ${{ github.event.pull_request.head.ref }}
           repository: ${{ github.event.pull_request.head.repo.full_name }}
-          fetch-depth: 0
+          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:
           driver-opts: network=host
-
       - name: Cache Docker layers
         uses: actions/cache@v3
         with:
           path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-buildx-${{ github.sha }}-${{ matrix.image }}
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
           restore-keys: |
-            ${{ runner.os }}-buildx-${{ github.sha }}-
             ${{ runner.os }}-buildx-
 
       - name: Login to GitHub Container Registry
@@ -48,35 +41,24 @@ jobs:
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Set image config
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
-        id: config
         run: |
-          if [[ "${{ matrix.image }}" == "fastgpt" ]]; then
+          echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:${{ github.event.pull_request.head.sha }}" >> $GITHUB_ENV
-            echo "DOCKERFILE=projects/app/Dockerfile" >> $GITHUB_OUTPUT
-            echo "DESCRIPTION=fastgpt-pr image" >> $GITHUB_OUTPUT
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:fatsgpt_${{ github.event.pull_request.head.sha }}" >> $GITHUB_OUTPUT
-          elif [[ "${{ matrix.image }}" == "sandbox" ]]; then
-            echo "DOCKERFILE=projects/sandbox/Dockerfile" >> $GITHUB_OUTPUT
-            echo "DESCRIPTION=fastgpt-sandbox-pr image" >> $GITHUB_OUTPUT
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:fatsgpt_sandbox_${{ github.event.pull_request.head.sha }}" >> $GITHUB_OUTPUT
-          elif [[ "${{ matrix.image }}" == "mcp_server" ]]; then
-            echo "DOCKERFILE=projects/mcp_server/Dockerfile" >> $GITHUB_OUTPUT
-            echo "DESCRIPTION=fastgpt-mcp_server-pr image" >> $GITHUB_OUTPUT
-            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:fatsgpt_mcp_server_${{ github.event.pull_request.head.sha }}" >> $GITHUB_OUTPUT
-          fi
 
-      - name: Build ${{ matrix.image }} image for PR
+      - name: Build image for PR
+        env:
+          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
         run: |
           docker buildx build \
-          -f ${{ steps.config.outputs.DOCKERFILE }} \
+          -f projects/app/Dockerfile \
           --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=${{ steps.config.outputs.DESCRIPTION }}" \
+          --label "org.opencontainers.image.description=fastgpt-pr image" \
+          --label "org.opencontainers.image.licenses=Apache" \
           --push \
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
-          -t ${{ steps.config.outputs.DOCKER_REPO_TAGGED }} \
+          -t ${DOCKER_REPO_TAGGED} \
           .
-
       - uses: actions/github-script@v7
         with:
           github-token: ${{secrets.GITHUB_TOKEN}}
@@ -85,5 +67,5 @@ jobs:
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body: 'Preview ${{ matrix.image }} Image: `${{ steps.config.outputs.DOCKER_REPO_TAGGED }}`'
+              body: 'Preview Image: `${{ env.DOCKER_REPO_TAGGED }}`'
             })

.github/workflows/fastgpt-test.yaml

@@ -15,9 +15,6 @@ jobs:
 
     steps:
       - uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.pull_request.head.ref }}
-          repository: ${{ github.event.pull_request.head.repo.full_name }}
       - uses: pnpm/action-setup@v4
         with:
           version: 10

.github/workflows/helm-release.yaml

@@ -13,7 +13,7 @@ jobs:
       contents: read
       attestations: write
       id-token: write
-    runs-on: ubuntu-24.04
+    runs-on: ubuntu-20.04
     steps:
       - name: Checkout
         uses: actions/checkout@v4

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

@@ -1,151 +0,0 @@
-name: Build fastgpt-mcp-server images
-on:
-  workflow_dispatch:
-  push:
-    paths:
-      - 'projects/sandbox/**'
-    tags:
-      - 'v*'
-jobs:
-  build-fastgpt-mcp_server-images:
-    permissions:
-      packages: write
-      contents: read
-      attestations: write
-      id-token: write
-    strategy:
-      matrix:
-        include:
-          - arch: amd64
-          - arch: arm64
-            runs-on: ubuntu-24.04-arm
-    runs-on: ${{ matrix.runs-on || 'ubuntu-24.04' }}
-    steps:
-      # install env
-      - name: Checkout
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-        with:
-          driver-opts: network=host
-      - name: Cache Docker layers
-        uses: actions/cache@v4
-        with:
-          path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-mcp-server-buildx-${{ github.sha }}
-          restore-keys: |
-            ${{ runner.os }}-mcp_server-buildx-
-
-      # login docker
-      - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-      - name: Login to Ali Hub
-        uses: docker/login-action@v3
-        with:
-          registry: registry.cn-hangzhou.aliyuncs.com
-          username: ${{ secrets.ALI_HUB_USERNAME }}
-          password: ${{ secrets.ALI_HUB_PASSWORD }}
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_HUB_NAME }}
-          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
-
-      - name: Build for ${{ matrix.arch }}
-        id: build
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          file: projects/mcp_server/Dockerfile
-          platforms: linux/${{ matrix.arch }}
-          labels: |
-            org.opencontainers.image.source=https://github.com/${{ github.repository }}
-            org.opencontainers.image.description=fastgpt-mcp_server image
-          outputs: type=image,"name=ghcr.io/${{ github.repository_owner }}/fastgpt-mcp_server,${{ secrets.ALI_IMAGE_NAME }}/fastgpt-mcp_server,${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-mcp_server",push-by-digest=true,push=true
-          cache-from: type=local,src=/tmp/.buildx-cache
-          cache-to: type=local,dest=/tmp/.buildx-cache
-
-      - name: Export digest
-        run: |
-          mkdir -p ${{ runner.temp }}/digests
-          digest="${{ steps.build.outputs.digest }}"
-          touch "${{ runner.temp }}/digests/${digest#sha256:}"
-
-      - name: Upload digest
-        uses: actions/upload-artifact@v4
-        with:
-          name: digests-fastgpt-mcp_server-${{ github.sha }}-${{ matrix.arch }}
-          path: ${{ runner.temp }}/digests/*
-          if-no-files-found: error
-          retention-days: 1
-
-  release-fastgpt-mcp_server-images:
-    permissions:
-      packages: write
-      contents: read
-      attestations: write
-      id-token: write
-    needs: build-fastgpt-mcp_server-images
-    runs-on: ubuntu-24.04
-    steps:
-      - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-      - name: Login to Ali Hub
-        uses: docker/login-action@v3
-        with:
-          registry: registry.cn-hangzhou.aliyuncs.com
-          username: ${{ secrets.ALI_HUB_USERNAME }}
-          password: ${{ secrets.ALI_HUB_PASSWORD }}
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_HUB_NAME }}
-          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
-
-      - name: Download digests
-        uses: actions/download-artifact@v4
-        with:
-          path: ${{ runner.temp }}/digests
-          pattern: digests-fastgpt-mcp_server-${{ github.sha }}-*
-          merge-multiple: true
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Set image name and tag
-        run: |
-          if [[ "${{ github.ref_name }}" == "main" ]]; then
-            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-          else
-            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-mcp_server:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-mcp_server:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-mcp_server:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-mcp_server:latest" >> $GITHUB_ENV
-          fi
-
-      - name: Create manifest list and push
-        working-directory: ${{ runner.temp }}/digests
-        run: |
-          TAGS="$(echo -e "${Git_Tag}\n${Git_Latest}\n${Ali_Tag}\n${Ali_Latest}\n${Docker_Hub_Tag}\n${Docker_Hub_Latest}")"
-          for TAG in $TAGS; do
-            docker buildx imagetools create -t $TAG \
-              $(printf 'ghcr.io/${{ github.repository_owner }}/fastgpt-mcp_server@sha256:%s ' *)
-            sleep 5
-          done

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

@@ -13,115 +13,50 @@ jobs:
       contents: read
       attestations: write
       id-token: write
-    strategy:
+    runs-on: ubuntu-20.04
-      matrix:
-        include:
-          - arch: amd64
-          - arch: arm64
-            runs-on: ubuntu-24.04-arm
-    runs-on: ${{ matrix.runs-on || 'ubuntu-24.04' }}
     steps:
       # install env
       - name: Checkout
         uses: actions/checkout@v3
         with:
           fetch-depth: 0
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@v2
         with:
           driver-opts: network=host
       - name: Cache Docker layers
         uses: actions/cache@v4
         with:
           path: /tmp/.buildx-cache
-          key: ${{ runner.os }}-sandbox-buildx-${{ github.sha }}
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
           restore-keys: |
-            ${{ runner.os }}-sandbox-buildx-
+            ${{ runner.os }}-buildx-
 
       # login docker
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
       - name: Login to Ali Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           registry: registry.cn-hangzhou.aliyuncs.com
           username: ${{ secrets.ALI_HUB_USERNAME }}
           password: ${{ secrets.ALI_HUB_PASSWORD }}
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           username: ${{ secrets.DOCKER_HUB_NAME }}
           password: ${{ secrets.DOCKER_HUB_PASSWORD }}
 
-      - name: Build for ${{ matrix.arch }}
+      # Set tag
-        id: build
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          file: projects/sandbox/Dockerfile
-          platforms: linux/${{ matrix.arch }}
-          labels: |
-            org.opencontainers.image.source=https://github.com/${{ github.repository }}
-            org.opencontainers.image.description=fastgpt-sandbox image
-          outputs: type=image,"name=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox,${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox,${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox",push-by-digest=true,push=true
-          cache-from: type=local,src=/tmp/.buildx-cache
-          cache-to: type=local,dest=/tmp/.buildx-cache
-
-      - name: Export digest
-        run: |
-          mkdir -p ${{ runner.temp }}/digests
-          digest="${{ steps.build.outputs.digest }}"
-          touch "${{ runner.temp }}/digests/${digest#sha256:}"
-
-      - name: Upload digest
-        uses: actions/upload-artifact@v4
-        with:
-          name: digests-fastgpt-sandbox-${{ github.sha }}-${{ matrix.arch }}
-          path: ${{ runner.temp }}/digests/*
-          if-no-files-found: error
-          retention-days: 1
-
-  release-fastgpt-sandbox-images:
-    permissions:
-      packages: write
-      contents: read
-      attestations: write
-      id-token: write
-    needs: build-fastgpt-sandbox-images
-    runs-on: ubuntu-24.04
-    steps:
-      - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-      - name: Login to Ali Hub
-        uses: docker/login-action@v3
-        with:
-          registry: registry.cn-hangzhou.aliyuncs.com
-          username: ${{ secrets.ALI_HUB_USERNAME }}
-          password: ${{ secrets.ALI_HUB_PASSWORD }}
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_HUB_NAME }}
-          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
-
-      - name: Download digests
-        uses: actions/download-artifact@v4
-        with:
-          path: ${{ runner.temp }}/digests
-          pattern: digests-fastgpt-sandbox-${{ github.sha }}-*
-          merge-multiple: true
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
       - name: Set image name and tag
         run: |
           if [[ "${{ github.ref_name }}" == "main" ]]; then
@@ -140,12 +75,27 @@ jobs:
             echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
           fi
 
-      - name: Create manifest list and push
+      - name: Build and publish image for main branch or tag push event
-        working-directory: ${{ runner.temp }}/digests
+        env:
+          Git_Tag: ${{ env.Git_Tag }}
+          Git_Latest: ${{ env.Git_Latest }}
+          Ali_Tag: ${{ env.Ali_Tag }}
+          Ali_Latest: ${{ env.Ali_Latest }}
+          Docker_Hub_Tag: ${{ env.Docker_Hub_Tag }}
+          Docker_Hub_Latest: ${{ env.Docker_Hub_Latest }}
         run: |
-          TAGS="$(echo -e "${Git_Tag}\n${Git_Latest}\n${Ali_Tag}\n${Ali_Latest}\n${Docker_Hub_Tag}\n${Docker_Hub_Latest}")"
+          docker buildx build \
-          for TAG in $TAGS; do
+          -f projects/sandbox/Dockerfile \
-            docker buildx imagetools create -t $TAG \
+          --platform linux/amd64,linux/arm64 \
-              $(printf 'ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox@sha256:%s ' *)
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/fastgpt-sandbox" \
-            sleep 5
+          --label "org.opencontainers.image.description=fastgpt-sandbox image" \
-          done
+          --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
+          -t ${Git_Tag} \
+          -t ${Git_Latest} \
+          -t ${Ali_Tag} \
+          -t ${Ali_Latest} \
+          -t ${Docker_Hub_Tag} \
+          -t ${Docker_Hub_Latest} \
+          .

.vscode/nextapi.code-snippets

@@ -52,17 +52,71 @@
 		"description": "FastGPT usecontext template"
 	},
 
-	"Vitest test case template": {
+	"Jest test template": {
-		"scope": "typescript",
+		"scope": "typescriptreact",
-		"prefix": "template_test",
+		"prefix": "jesttest",
 		"body": [
-			"import { describe, it, expect } from 'vitest';",
+			"import '@/pages/api/__mocks__/base';",
+			"import { root } from '@/pages/api/__mocks__/db/init';",
+			"import { getTestRequest } from '@fastgpt/service/test/utils'; ;",
+			"import { AppErrEnum } from '@fastgpt/global/common/error/code/app';",
+			"import handler from './demo';",
 			"",
-			"describe('authType2UsageSource', () => {",
+			"// Import the schema",
-			"  it('Test description', () => {",
+			"import { MongoOutLink } from '@fastgpt/service/support/outLink/schema';",
-			"    expect().toBe();",
+			"",
-			"  });",
+			"beforeAll(async () => {",
+			"  // await MongoOutLink.create({",
+			"  //   shareId: 'aaa',",
+			"  //   appId: root.appId,",
+			"  //   tmbId: root.tmbId,",
+			"  //   teamId: root.teamId,",
+			"  //   type: 'share',",
+			"  //   name: 'aaa'",
+			"  // })",
+			"});",
+			"",
+			"test('Should return a list of outLink', async () => {",
+			"  // Mock request",
+			"  const res = (await handler(",
+			"    ...getTestRequest({",
+			"      query: {",
+			"        appId: root.appId,",
+			"        type: 'share'",
+			"      },",
+			"      user: root",
+			"    })",
+			"  )) as any;",
+			"",
+			"  expect(res.code).toBe(200);",
+			"  expect(res.data.length).toBe(2);",
+			"});",
+			"",
+			"test('appId is required', async () => {",
+			"  const res = (await handler(",
+			"    ...getTestRequest({",
+			"      query: {",
+			"        type: 'share'",
+			"      },",
+			"      user: root",
+			"    })",
+			"  )) as any;",
+			"  expect(res.code).toBe(500);",
+			"  expect(res.error).toBe(AppErrEnum.unExist);",
+			"});",
+			"",
+			"test('if type is not provided, return nothing', async () => {",
+			"  const res = (await handler(",
+			"    ...getTestRequest({",
+			"      query: {",
+			"        appId: root.appId",
+			"      },",
+			"      user: root",
+			"    })",
+			"  )) as any;",
+			"  expect(res.code).toBe(200);",
+			"  expect(res.data.length).toBe(0);",
 			"});"
-		]
+			]
 	}
 }

Makefile

@@ -17,7 +17,7 @@ dev:
 
 build:
 ifeq ($(proxy), taobao)
-	docker build -f $(filePath) -t $(image) . --build-arg proxy=taobao
+	docker build -f $(filePath) -t $(image) . --build-arg proxy=taobao 
 else ifeq ($(proxy), clash)
 	docker build -f $(filePath) -t $(image) . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
 else

README.md

@@ -10,7 +10,7 @@
   <a href="./README_ja.md">日语</a>
 </p>
 
-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！
+FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！
 
 </div>
 

deploy/docker/docker-compose-milvus.yml

@@ -126,15 +126,15 @@ services:
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.5 # git
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.5 # 阿里云
+    # 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:v4.9.5 # git
+    image: ghcr.io/labring/fastgpt:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.5 # 阿里云
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -184,8 +184,6 @@ services:
       - ALLOWED_ORIGINS=
       # 是否开启IP限制，默认不开启
       - USE_IP_LIMIT=false
-      # 对话文件过期天数
-      - CHAT_FILE_EXPIRE_TIME=7
     volumes:
       - ./config.json:/app/data/config.json
 

deploy/docker/docker-compose-oceanbase/docker-compose.yml

@@ -1,202 +0,0 @@
-# 数据库的默认账号和密码仅首次运行时设置有效
-# 如果修改了账号密码，记得改数据库和项目连接参数，别只改一处~
-# 该配置文件只是给快速启动，测试使用。正式使用，记得务必修改账号密码，以及调整合适的知识库参数，共享内存等。
-# 如何无法访问 dockerhub 和 git，可以用阿里云（阿里云没有arm包）
-
-version: '3.3'
-services:
-  # vector db
-  ob:
-    image: oceanbase/oceanbase-ce # docker hub
-    # image: quay.io/oceanbase/oceanbase-ce:4.3.5.1-101000042025031818 # 镜像
-    container_name: ob
-    restart: always
-    # ports: # 生产环境建议不要暴露
-    #   - 2881:2881
-    networks:
-      - fastgpt
-    environment:
-      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
-      - OB_SYS_PASSWORD=obsyspassword
-      # 不同于传统数据库，OceanBase 数据库的账号包含更多字段，包括用户名、租户名和集群名。经典格式为“用户名@租户名#集群名”
-      # 比如用mysql客户端连接时，根据本文件的默认配置，应该指定 “-uroot@tenantname”
-      - OB_TENANT_NAME=tenantname
-      - OB_TENANT_PASSWORD=tenantpassword
-      # MODE分为MINI和NORMAL， 后者会最大程度使用主机资源
-      - MODE=NORMAL
-      - OB_SERVER_IP=127.0.0.1
-      # 更多环境变量配置见oceanbase官方文档： https://www.oceanbase.com/docs/common-oceanbase-database-cn-1000000002013494
-    volumes:
-      - ./ob/data:/root/ob
-      - ./ob/config:/root/.obd/cluster
-      - ./init.sql:/root/boot/init.d/init.sql
-    healthcheck:
-    # obclient -h127.0.0.1 -P2881 -uroot@tenantname -ptenantpassword -e "SELECT 1;"
-      test: ["CMD-SHELL", "obclient -h$OB_SERVER_IP -P2881 -uroot@$OB_TENANT_NAME -p$OB_TENANT_PASSWORD -e \"SELECT 1;\""]
-      interval: 30s
-      timeout: 10s
-      retries: 1000
-      start_period: 10s
-  mongo:
-    image: mongo:5.0.18 # dockerhub
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
-    # image: mongo:4.4.29 # cpu不支持AVX时候使用
-    container_name: mongo
-    restart: always
-    # ports:
-    #   - 27017:27017
-    networks:
-      - fastgpt
-    command: mongod --keyFile /data/mongodb.key --replSet rs0
-    environment:
-      - MONGO_INITDB_ROOT_USERNAME=myusername
-      - MONGO_INITDB_ROOT_PASSWORD=mypassword
-    volumes:
-      - ./mongo/data:/data/db
-    entrypoint:
-      - bash
-      - -c
-      - |
-        openssl rand -base64 128 > /data/mongodb.key
-        chmod 400 /data/mongodb.key
-        chown 999:999 /data/mongodb.key
-        echo 'const isInited = rs.status().ok === 1
-        if(!isInited){
-          rs.initiate({
-              _id: "rs0",
-              members: [
-                  { _id: 0, host: "mongo:27017" }
-              ]
-          })
-        }' > /data/initReplicaSet.js
-        # 启动MongoDB服务
-        exec docker-entrypoint.sh "$$@" &
-
-        # 等待MongoDB服务启动
-        until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')"; do
-          echo "Waiting for MongoDB to start..."
-          sleep 2
-        done
-
-        # 执行初始化副本集的脚本
-        mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
-
-        # 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
-        wait $$!
-
-  # fastgpt
-  sandbox:
-    container_name: sandbox
-    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:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
-    ports:
-      - 3000:3000
-    networks:
-      - fastgpt
-    depends_on:
-      mongo:
-        condition: service_started
-      ob:
-        condition: service_healthy
-      sandbox:
-        condition: service_started
-    restart: always
-    environment:
-      # 前端外部可访问的地址，用于自动补全文件资源路径。例如 https:fastgpt.cn，不能填 localhost。这个值可以不填，不填则发给模型的图片会是一个相对路径，而不是全路径，模型可能伪造Host。
-      - FE_DOMAIN=
-      # root 密码，用户名为: root。如果需要修改 root 密码，直接修改这个环境变量，并重启即可。
-      - DEFAULT_ROOT_PSW=1234
-      # # AI Proxy 的地址，如果配了该地址，优先使用
-      # - AIPROXY_API_ENDPOINT=http://aiproxy:3000
-      # # AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
-      # - AIPROXY_API_TOKEN=aiproxy
-      # 模型中转地址（如果用了 AI Proxy，下面 2 个就不需要了，旧版 OneAPI 用户，使用下面的变量）
-      - # openai 基本地址，可用作中转。
-      - OPENAI_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
-      - # OpenAI API Key
-      - CHAT_API_KEY=sk-8990fa15a34b464a805237cfe9561f11
-      # 数据库最大连接数
-      - DB_MAX_LINK=30
-      # 登录凭证密钥
-      - TOKEN_KEY=any
-      # root的密钥，常用于升级时候的初始化请求
-      - ROOT_KEY=root_key
-      # 文件阅读加密
-      - 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
-      # OceanBase 向量库连接参数
-      - OCEANBASE_URL=mysql://root%40tenantname:tenantpassword@ob:2881/test
-      # sandbox 地址
-      - SANDBOX_URL=http://sandbox:3000
-      # 日志等级: debug, info, warn, error
-      - LOG_LEVEL=info
-      - STORE_LOG_LEVEL=warn
-      # 工作流最大运行次数
-      - WORKFLOW_MAX_RUN_TIMES=1000
-      # 批量执行节点，最大输入长度
-      - WORKFLOW_MAX_LOOP_TIMES=100
-      # 自定义跨域，不配置时，默认都允许跨域（多个域名通过逗号分割）
-      - ALLOWED_ORIGINS=
-      # 是否开启IP限制，默认不开启
-      - USE_IP_LIMIT=false
-    volumes:
-      - ./config.json:/app/data/config.json
-
-  # AI Proxy
-  aiproxy:
-    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
-    depends_on:
-      aiproxy_pg:
-        condition: service_healthy
-    networks:
-      - fastgpt
-    environment:
-      # 对应 fastgpt 里的AIPROXY_API_TOKEN
-      - ADMIN_KEY=aiproxy
-      # 错误日志详情保存时间（小时）
-      - LOG_DETAIL_STORAGE_HOURS=1
-      # 数据库连接地址
-      - SQL_DSN=postgres://postgres:aiproxy@aiproxy_pg:5432/aiproxy
-      # 最大重试次数
-      - RETRY_TIMES=3
-      # 不需要计费
-      - BILLING_ENABLED=false
-      # 不需要严格检测模型
-      - DISABLE_MODEL_CONFIG=true
-    healthcheck:
-      test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
-      interval: 5s
-      timeout: 5s
-      retries: 10
-  aiproxy_pg:
-    image: pgvector/pgvector:0.8.0-pg15 # docker hub
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.8.0-pg15 # 阿里云
-    restart: unless-stopped
-    container_name: aiproxy_pg
-    volumes:
-      - ./aiproxy_pg:/var/lib/postgresql/data
-    networks:
-      - fastgpt
-    environment:
-      TZ: Asia/Shanghai
-      POSTGRES_USER: postgres
-      POSTGRES_DB: aiproxy
-      POSTGRES_PASSWORD: aiproxy
-    healthcheck:
-      test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
-      interval: 5s
-      timeout: 5s
-      retries: 10
-networks:
-  fastgpt:

deploy/docker/docker-compose-oceanbase/init.sql

@@ -1,2 +0,0 @@
-ALTER SYSTEM SET ob_vector_memory_limit_percentage = 30;
-

deploy/docker/docker-compose-pgvector.yml

@@ -85,15 +85,15 @@ services:
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.5 # git
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.5 # 阿里云
+    # 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:v4.9.5 # git
+    image: ghcr.io/labring/fastgpt:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.5 # 阿里云
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -142,8 +142,6 @@ services:
       - ALLOWED_ORIGINS=
       # 是否开启IP限制，默认不开启
       - USE_IP_LIMIT=false
-      # 对话文件过期天数
-      - CHAT_FILE_EXPIRE_TIME=7
     volumes:
       - ./config.json:/app/data/config.json
 

deploy/docker/docker-compose-zilliz.yml

@@ -66,15 +66,15 @@ services:
 
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.5 # git
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.5 # 阿里云
+    # 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:v4.9.5 # git
+    image: ghcr.io/labring/fastgpt:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.5 # 阿里云
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.3 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -123,8 +123,6 @@ services:
       - ALLOWED_ORIGINS=
       # 是否开启IP限制，默认不开启
       - USE_IP_LIMIT=false
-      # 对话文件过期天数
-      - CHAT_FILE_EXPIRE_TIME=7
     volumes:
       - ./config.json:/app/data/config.json
 

docSite/content/zh-cn/docs/development/docker.md

@@ -135,9 +135,6 @@ curl -O https://raw.githubusercontent.com/labring/FastGPT/main/projects/app/data
 
 # pgvector 版本(测试推荐，简单快捷)
 curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/main/deploy/docker/docker-compose-pgvector.yml
-# oceanbase 版本（需要将init.sql和docker-compose.yml放在同一个文件夹，方便挂载）
-# curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/main/deploy/docker/docker-compose-oceanbase/docker-compose.yml
-# curl -o init.sql https://raw.githubusercontent.com/labring/FastGPT/main/deploy/docker/docker-compose-oceanbase/init.sql
 # milvus 版本
 # curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/main/deploy/docker/docker-compose-milvus.yml
 # zilliz 版本
@@ -154,13 +151,6 @@ curl -o docker-compose.yml https://raw.githubusercontent.com/labring/FastGPT/mai
 
 无需操作
 
-{{< /markdownify >}}
-{{< /tab >}}
-{{< tab tabName="Oceanbase版本" >}}
-{{< markdownify >}}
-
-无需操作
-
 {{< /markdownify >}}
 {{< /tab >}}
 {{< tab tabName="Milvus版本" >}}

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

@@ -34,94 +34,6 @@ weight: 852
 
 ### 请求
 
-{{< tabs tabTotal="3" >}}
-{{< tab tabName="基础请求示例" >}}
-{{< markdownify >}}
-
-```bash
-curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
---header 'Authorization: Bearer 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": "导演是谁"
-        }
-    ]
-}'
-```
-
-{{< /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/v1/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 >}}
-
 <!-- #### v2
 
 v1,v2 接口请求参数一致，仅请求地址不一样。
@@ -216,7 +128,93 @@ curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
 
 #### v1
 
+{{< tabs tabTotal="3" >}}
+{{< tab tabName="基础请求示例" >}}
+{{< markdownify >}}
 
+```bash
+curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
+--header 'Authorization: Bearer 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": "导演是谁"
+        }
+    ]
+}'
+```
+
+{{< /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/v1/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 >}}
 
 ### 响应
 
@@ -747,6 +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' \
@@ -760,8 +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" >}}
@@ -920,6 +937,151 @@ event取值：
 {{< /tab >}}
 {{< /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
 
 {{% alert icon="🤖 " context="success" %}}

docSite/content/zh-cn/docs/development/sealos.md

@@ -138,7 +138,7 @@ FastGPT 商业版共包含了2个应用（fastgpt, fastgpt-plus）和2个数据
 SYSTEM_NAME=FastGPT
 SYSTEM_DESCRIPTION=
 SYSTEM_FAVICON=/favicon.ico
-HOME_URL=/dashboard/apps
+HOME_URL=/app/list
 ```
 
 SYSTEM_FAVICON 可以是一个网络地址

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

@@ -1,5 +1,5 @@
 ---
-title: 'V4.9.4'
+title: 'V4.9.4(进行中)'
 description: 'FastGPT V4.9.4 更新说明'
 icon: 'upgrade'
 draft: false
@@ -11,7 +11,7 @@ weight: 796
 
 ### 1. 做好数据备份
 
-### 2. 安装 Redis
+### 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。
@@ -20,14 +20,10 @@ weight: 796
 | --- | --- |  --- |
 | ![](/imgs/sealos-redis1.png) | ![](/imgs/sealos-redis2.png) |  ![](/imgs/sealos-redis3.png) |
 
-### 3. 更新镜像 tag
+### 2. 更新镜像 tag
 
-- 更新 FastGPT 镜像 tag: v4.9.4
-- 更新 FastGPT 商业版镜像 tag: v4.9.4
-- Sandbox 无需更新
-- AIProxy 无需更新
 
-### 4. 执行升级脚本
+### 3. 执行升级脚本
 
 该脚本仅需商业版用户执行。
 
@@ -49,9 +45,8 @@ curl --location --request POST 'https://{{host}}/api/admin/initv494' \
 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和增量同步。
+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，便于追踪模型输出中断原因。
+6. AI 对话/工具调用，增加返回模型 finish_reason 字段。
-7. 移动端语音输入交互调整
 
 ## ⚙️ 优化
 
@@ -61,6 +56,4 @@ curl --location --request POST 'https://{{host}}/api/admin/initv494' \
 
 ## 🐛 修复
 
-1. 搜索应用/知识库时，无法点击目录进入下一层。
+1. 搜索应用/知识库时，无法点击目录进入下一层。
-2. 重新训练时，参数未成功初始化。
-3. package/service 部分请求在多 app 中不一致。

docSite/content/zh-cn/docs/development/upgrading/495.md

@@ -1,39 +0,0 @@
----
-title: 'V4.9.5'
-description: 'FastGPT V4.9.5 更新说明'
-icon: 'upgrade'
-draft: false
-toc: true
-weight: 795
----
-
-## 升级指南
-### 1. 做好数据备份
-
-### 2. 更新镜像 tag
-
-- 更新 FastGPT 镜像 tag: v4.9.5
-- 更新 FastGPT 商业版镜像 tag: v4.9.5
-- Sandbox 无需更新
-- AIProxy 无需更新
-
-## 🚀 新增内容
-
-1. 团队成员权限细分，可分别控制是否可创建在根目录应用/知识库以及 API Key
-2. 支持交互节点在嵌套工作流中使用。
-3. 团队成员操作日志。
-4. 用户输入节点支持多选框。
-
-## ⚙️ 优化
-
-1. 繁体中文翻译。
-2. Arm 镜像打包
-
-
-## 🐛 修复
-
-1. password 检测规则错误。
-2. 分享链接无法隐藏知识库检索结果。
-3. IOS 低版本正则兼容问题。
-4. 修复问答提取队列错误后，计数器未清零问题，导致问答提取队列失效。
-5. Debug 模式交互节点下一步可能造成死循环。

docSite/content/zh-cn/docs/development/upgrading/496.md

@@ -1,32 +0,0 @@
----
-title: 'V4.9.6(进行中)'
-description: 'FastGPT V4.9.6 更新说明'
-icon: 'upgrade'
-draft: false
-toc: true
-weight: 794
----
-
-
-
-
-## 🚀 新增内容
-
-1. 以 MCP 方式对外提供应用调用。
-2. 支持以 MCP SSE 协议创建工具。
-3. 批量执行节点支持交互节点，可实现每一轮循环都人工参与。
-4. 增加工作台二级菜单，合并工具箱。
-5. 增加 grok3、GPT4.1、Gemini2.5 模型系统配置。
-
-## ⚙️ 优化
-
-1. 工作流数据类型转化鲁棒性和兼容性增强。
-2. Python sandbox 代码，支持大数据输入。
-3. 路径组件支持配置最后一步是否可点击。
-4. 知识库工具调用结果，自动补充图片域名。
-5. Github action runner 升级成 unbuntu24
-
-## 🐛 修复
-
-1. 修复子工作流包含交互节点时，未成功恢复子工作流所有数据。
-2. completion v1 接口，未接受 interactive 参数，导致 API 调用失败。

docSite/content/zh-cn/docs/guide/team_permissions/team_roles_permissions.md

@@ -5,207 +5,4 @@ icon: "group"
 draft: false
 toc: true
 weight: 450
----
+---
-
-# 团队 & 成员组 & 权限
-
-## 权限系统简介
-
-FastGPT
-权限系统融合了基于**属性**和基于**角色**的权限管理范式，为团队协作提供精细化的权限控制方案。通过**成员、部门和群组**三种管理模式，您可以灵活配置对团队、应用和知识库等资源的访问权限。
-
-## 团队
-
-每位用户可以同时归属于多个团队，系统默认为每位用户创建一个初始团队。目前暂不支持用户手动创建额外团队。
-
-## 权限管理
-
-FastGPT 提供三种权限管理维度：
-
-**成员权限**：最高优先级，直接赋予个人的权限
-
-**部门与群组权限**：采用权限并集原则，优先级低于成员权限
-
-权限判定遵循以下逻辑：
-
-首先检查用户的个人成员权限
-
-其次检查用户所属部门和群组的权限（取并集）
-
-最终权限为上述结果的组合
-
-鉴权逻辑如下：
-
-![](/imgs/guide/team_permissions/team_roles_permissions/image1.jpeg)
-
-### 资源权限
-
-对于不同的**资源**，有不同的权限。
-
-这里说的资源，是指应用、知识库、团队等等概念。
-
-下表为不同资源，可以进行管理的权限。
-
-  <table>
-    <thead>
-      <tr>
-        <th>资源</th>
-        <th>可管理权限</th>
-        <th>说明</th>
-      </tr>
-    </thead>
-    <tbody>
-      <tr>
-        <td rowspan="4">团队</td>
-        <td>创建应用</td>
-        <td>创建，删除等基础操作</td>
-      </tr>
-      <tr>
-        <td>创建知识库</td>
-        <td>创建，删除等基础操作</td>
-      </tr>
-      <tr>
-        <td>创建团队 APIKey</td>
-        <td>创建，删除等基础操作</td>
-      </tr>
-      <tr>
-        <td>管理成员</td>
-        <td>邀请、移除用户，创建群组等</td>
-      </tr>
-      <tr>
-        <td rowspan="3">应用</td>
-        <td>可使用</td>
-        <td>允许进行对话交互</td>
-      </tr>
-      <tr>
-        <td>可编辑</td>
-        <td>修改基本信息，进行流程编排等</td>
-      </tr>
-      <tr>
-        <td>可管理</td>
-        <td>添加或删除协作者</td>
-      </tr>
-      <tr>
-        <td rowspan="3">知识库</td>
-        <td>可使用</td>
-        <td>可以在应用中调用该知识库</td>
-      </tr>
-      <tr>
-        <td>可编辑</td>
-        <td>修改知识库的内容</td>
-      </tr>
-      <tr>
-        <td>可管理</td>
-        <td>添加或删除协作者</td>
-      </tr>
-    </tbody>
-  </table>
-
-### 协作者
-
-必须先添加**协作者**，才能对其进行权限管理：
-
-![](/imgs/guide/team_permissions/team_roles_permissions/image2.png)
-
-管理团队权限时，需先选择成员/组织/群组，再进行权限配置。
-
-![](/imgs/guide/team_permissions/team_roles_permissions/image3.png)
-
-对于应用和知识库等资源，可直接修改成员权限。
-
-![](/imgs/guide/team_permissions/team_roles_permissions/image4.png)
-
-团队权限在专门的权限页面进行设置
-
-![](/imgs/guide/team_permissions/team_roles_permissions/image5.png)
-
-## 特殊权限说明
-
-### 管理员权限
-
-管理员主要负责管理资源的协作关系，但有以下限制：
-
-- 不能修改或移除自身权限
-- 不能修改或移除其他管理员权限
--不能将管理员权限赋予其他协作者
-
-### Owner 权限
-
-每个资源都有唯一的 Owner，拥有该资源的最高权限。Owner
-可以转移所有权，但转移后原 Owner 将失去对资源的权限。
-
-### Root 权限
-
-Root
-作为系统唯一的超级管理员账号，对所有团队的所有资源拥有完全访问和管理权限。
-
-## 使用技巧
-
-### 1. 设置团队默认权限
-
-利用\"全员群组\"可快速为整个团队设置基础权限。例如，为应用设置全员可访问权限。
-
-**注意**：个人成员权限会覆盖全员组权限。例如，应用 A
-设置了全员编辑权限，而用户 M 被单独设置为使用权限，则用户 M
-只能使用而无法编辑该应用。
-
-### 2. 批量权限管理
-
-通过创建群组或组织，可以高效管理多用户的权限配置。先将用户添加到群组，再对群组整体授权。
-
-### 开发者参考
-> 以下内容面向开发者，如不涉及二次开发可跳过。
-
-#### 权限设计原理
-
-FastGPT 权限系统参考 Linux 权限设计，采用二进制方式存储权限位。权限位为
-1 表示拥有该权限，为 0 表示无权限。Owner 权限特殊标记为全 1。
-
-#### 权限表
-
-权限信息存储在 MongoDB 的 resource_permissions 集合中，其主要字段包括：
-
-- teamId: 团队标识
-- tmbId/groupId/orgId: 权限主体(三选一)
-- resourceType: 资源类型(team/app/dataset)
-- permission: 权限值(数字)
-- resourceId: 资源ID(团队资源为null)
-
-系统通过这一数据结构实现了灵活而精确的权限控制。
-
-对于这个表的 Schema 定义在 packages/service/support/permission/schema.ts
-文件中。定义如下：
-```typescript
-export const ResourcePermissionSchema = new Schema({
-  teamId: {
-    type: Schema.Types.ObjectId,
-    ref: TeamCollectionName
-  },
-  tmbId: {
-    type: Schema.Types.ObjectId,
-    ref: TeamMemberCollectionName
-  },
-  groupId: {
-    type: Schema.Types.ObjectId,
-    ref: MemberGroupCollectionName
-  },
-  orgId: {
-    type: Schema.Types.ObjectId,
-    ref: OrgCollectionName
-  },
-  resourceType: {
-    type: String,
-    enum: Object.values(PerResourceTypeEnum),
-    required: true
-  },
-  permission: {
-    type: Number,
-    required: true
-  },
-  // Resrouce ID: App or DataSet or any other resource type.
-  // It is null if the resourceType is team.
-  resourceId: {
-    type: Schema.Types.ObjectId
-  }
-});
-```

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

@@ -7,64 +7,76 @@ toc: true
 weight: -10
 ---
 
-FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，将智能对话与可视化编排完美结合，让 AI 应用开发变得简单自然。无论您是开发者还是业务人员，都能轻松打造专属的 AI 应用。
+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" %}}
-快速开始体验
+FastGPT 在线使用：[https://tryfastgpt.ai](https://tryfastgpt.ai)
-- 海外版：[https://tryfastgpt.ai](https://tryfastgpt.ai)
-- 国内版：[https://fastgpt.cn](https://fastgpt.cn)
 {{% /alert %}}
 
-|                       |                                   |
+|                       |                       |
-| --------------------- | --------------------------------- |
+| --------------------- | --------------------- |
-| ![](/imgs/intro/image1.png) | ![](/imgs/intro/image2.png) |
+| ![](/imgs/intro1.webp) | ![](/imgs/intro2.png) |
+| ![](/imgs/intro3.png) | ![](/imgs/intro4.png) |
 
-# FastGPT 的优势
+## FastGPT 能力
-## 1. 简单灵活，像搭积木一样简单 🧱
-像搭乐高一样简单有趣，FastGPT 提供丰富的功能模块，通过简单拖拽就能搭建出个性化的 AI 应用，零代码也能实现复杂的业务流程。
-## 2. 让数据更智能 🧠
-FastGPT 提供完整的数据智能化解决方案，从数据导入、预处理到知识匹配，再到智能问答，全流程自动化。配合可视化的工作流设计，轻松打造专业级 AI 应用。
-## 3. 开源开放，易于集成 🔗
-FastGPT 基于 Apache 2.0 协议开源，支持二次开发。通过标准 API 即可快速接入，无需修改源码。支持 ChatGPT、Claude、DeepSeek 和文心一言等主流模型，持续迭代优化，始终保持产品活力。
 
----
+### 1. 专属 AI 客服
 
-# FastGPT 能做什么
+通过导入文档或已有问答对进行训练，让 AI 模型能根据你的文档以交互式对话方式回答问题。
-## 1. 全能知识库
-可轻松导入各式各样的文档及数据，能自动对其开展知识结构化处理工作。同时，具备支持多轮上下文理解的智能问答功能，还可为用户带来持续优化的知识库管理体验。
-![](/imgs/intro/image3.png)
 
-## 2. 可视化工作流
+![](/imgs/ability1.png)
-FastGPT直观的拖拽式界面设计，可零代码搭建复杂业务流程。还拥有丰富的功能节点组件，能应对多种业务需求，有着灵活的流程编排能力，按需定制业务流程。
-![](/imgs/intro/image4.png)
 
-## 3. 数据智能解析
+### 2. 简单易用的可视化界面
-FastGPT知识库系统对导入数据的处理极为灵活，可以智能处理PDF文档的复杂结构，保留图片、表格和LaTeX公式，自动识别扫描文件，并将内容结构化为清晰的Markdown格式。同时支持图片自动标注和索引，让视觉内容可被理解和检索，确保知识在AI问答中能被完整、准确地呈现和应用。
 
-![](/imgs/intro/image5.png)
+FastGPT 采用直观的可视化界面设计，为各种应用场景提供了丰富实用的功能。通过简洁易懂的操作步骤，可以轻松完成 AI 客服的创建和训练流程。
+
+![](/imgs/ability5.png)
+
+### 3. 自动数据预处理
+
+提供手动输入、直接分段、LLM 自动处理和 CSV 等多种数据导入途径，其中“直接分段”支持通过 PDF、WORD、Markdown 和 CSV 文档内容作为上下文。FastGPT 会自动对文本数据进行预处理、向量化和 QA 分割，节省手动训练时间，提升效能。
+
+![](/imgs/ability2.png)
+
+### 4. 工作流编排
 
-## 4. 工作流编排
 基于 Flow 模块的工作流编排，可以帮助你设计更加复杂的问答流程。例如查询数据库、查询库存、预约实验室等。
 
-![](/imgs/intro/image6.png)
+![](/imgs/ability3.png)
 
-## 5. 强大的 API 集成
+### 5. 强大的 API 集成
-FastGPT 完全对齐 OpenAI 官方接口，支持一键接入企业微信、公众号、飞书、钉钉等平台，让 AI 能力轻松融入您的业务场景。
 
-![](/imgs/intro/image7.png)
+FastGPT 对外的 API 接口对齐了 OpenAI 官方接口，可以直接接入现有的 GPT 应用，也可以轻松集成到企业微信、公众号、飞书等平台。
 
----
+![](/imgs/ability4.png)
 
-# 核心特性
+## FastGPT 特点
 
-- 开箱即用的知识库系统
+1. **项目开源**
-- 可视化的低代码工作流编排
-- 支持主流大模型
-- 简单易用的 API 接口
-- 灵活的数据处理能力
 
----
+   FastGPT 遵循**附加条件 Apache License 2.0 开源协议**，你可以 [Fork](https://github.com/labring/FastGPT/fork) 之后进行二次开发和发布。FastGPT 社区版将保留核心功能，商业版仅在社区版基础上使用 API 的形式进行扩展，不影响学习使用。
 
-# 知识库核心流程图
+2. **独特的 QA 结构**
+
+   针对客服问答场景设计的 QA 结构，提高在大量数据场景中的问答准确性。
+
+3. **可视化工作流**
+
+   通过 Flow 模块展示了从问题输入到模型输出的完整流程，便于调试和设计复杂流程。
+
+4. **无限扩展**
+
+   基于 API 进行扩展，无需修改 FastGPT 源码，也可快速接入现有的程序中。
+
+5. **便于调试**
+
+   提供搜索测试、引用修改、完整对话预览等多种调试途径。
+
+6. **支持多种模型**
+
+   支持 GPT、Claude、文心一言等多种 LLM 模型，未来也将支持自定义的向量模型。
+
+## 知识库核心流程图
+
+![](/imgs/functional-arch.webp)
 
-![](/imgs/intro/image8.png)

package.json

@@ -12,29 +12,27 @@
     "previewIcon": "node ./scripts/icon/index.js",
     "api:gen": "tsc ./scripts/openapi/index.ts && node ./scripts/openapi/index.js && npx @redocly/cli build-docs ./scripts/openapi/openapi.json -o ./projects/app/public/openapi/index.html",
     "create:i18n": "node ./scripts/i18n/index.js",
-    "test": "vitest run",
+    "test": "vitest run --exclude 'test/cases/spec'",
+    "test:all": "vitest run",
     "test:workflow": "vitest run workflow"
   },
   "devDependencies": {
     "@chakra-ui/cli": "^2.4.1",
-    "@vitest/coverage-v8": "^3.0.9",
+    "@vitest/coverage-v8": "^3.0.2",
     "husky": "^8.0.3",
     "i18next": "23.16.8",
     "lint-staged": "^13.3.0",
     "next-i18next": "15.4.2",
     "prettier": "3.2.4",
     "react-i18next": "14.1.2",
-    "vitest": "^3.0.9",
+    "vitest": "^3.0.2",
-    "mongodb-memory-server": "^10.1.4",
+    "vitest-mongodb": "^1.0.1",
     "zhlint": "^0.7.4"
   },
   "lint-staged": {
     "./**/**/*.{ts,tsx,scss}": "npm run format-code",
     "./docSite/**/**/*.md": "npm run format-doc"
   },
-  "resolutions": {
-    "mdast-util-gfm-autolink-literal": "2.0.0"
-  },
   "engines": {
     "node": ">=18.16.0",
     "pnpm": ">=9.0.0"

packages/global/common/error/code/common.ts

@@ -5,7 +5,6 @@ import { ErrType } from '../errorCode';
 const startCode = 507000;
 export enum CommonErrEnum {
   invalidParams = 'invalidParams',
-  invalidResource = 'invalidResource',
   fileNotFound = 'fileNotFound',
   unAuthFile = 'unAuthFile',
   missingParams = 'missingParams',
@@ -16,10 +15,6 @@ const datasetErr = [
     statusText: CommonErrEnum.fileNotFound,
     message: i18nT('common:error.invalid_params')
   },
-  {
-    statusText: CommonErrEnum.invalidResource,
-    message: i18nT('common:error_invalid_resource')
-  },
   {
     statusText: CommonErrEnum.fileNotFound,
     message: 'error.fileNotFound'

packages/global/common/error/code/team.ts

@@ -27,8 +27,7 @@ export enum TeamErrEnum {
   userNotActive = 'userNotActive',
   invitationLinkInvalid = 'invitationLinkInvalid',
   youHaveBeenInTheTeam = 'youHaveBeenInTheTeam',
-  tooManyInvitations = 'tooManyInvitations',
+  tooManyInvitations = 'tooManyInvitations'
-  unPermission = 'unPermission'
 }
 
 const teamErr = [
@@ -36,10 +35,6 @@ const teamErr = [
     statusText: TeamErrEnum.notUser,
     message: i18nT('common:code_error.team_error.not_user')
   },
-  {
-    statusText: TeamErrEnum.unPermission,
-    message: i18nT('common:error_un_permission')
-  },
   {
     statusText: TeamErrEnum.teamOverSize,
     message: i18nT('common:code_error.team_error.over_size')

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

@@ -49,7 +49,6 @@ export type FastGPTFeConfigsType = {
   find_password_method?: ['email' | 'phone'];
   bind_notification_method?: ['email' | 'phone'];
   googleClientVerKey?: string;
-  mcpServerProxyEndpoint?: string;
 
   show_emptyChat?: boolean;
   show_appStore?: boolean;

packages/global/core/app/constants.ts

@@ -11,9 +11,7 @@ export enum AppTypeEnum {
   simple = 'simple',
   workflow = 'advanced',
   plugin = 'plugin',
-  httpPlugin = 'httpPlugin',
+  httpPlugin = 'httpPlugin'
-  toolSet = 'toolSet',
-  tool = 'tool'
 }
 
 export const AppFolderTypeList = [AppTypeEnum.folder, AppTypeEnum.httpPlugin];
@@ -55,10 +53,7 @@ export enum AppTemplateTypeEnum {
   imageGeneration = 'image-generation',
   webSearch = 'web-search',
   roleplay = 'roleplay',
-  officeServices = 'office-services',
+  officeServices = 'office-services'
-
-  // special type
-  contribute = 'contribute'
 }
 
 export const defaultDatasetMaxTokens = 16000;

packages/global/core/app/mcpTools/utils.ts

@@ -1,97 +0,0 @@
-import { NodeOutputKeyEnum, WorkflowIOValueTypeEnum } from '../../workflow/constants';
-import {
-  FlowNodeInputTypeEnum,
-  FlowNodeOutputTypeEnum,
-  FlowNodeTypeEnum
-} from '../../workflow/node/constant';
-import { nanoid } from 'nanoid';
-import { ToolType } from '../type';
-import { i18nT } from '../../../../web/i18n/utils';
-import { RuntimeNodeItemType } from '../../workflow/runtime/type';
-
-export const getMCPToolSetRuntimeNode = ({
-  url,
-  toolList,
-  name,
-  avatar
-}: {
-  url: string;
-  toolList: ToolType[];
-  name?: string;
-  avatar?: string;
-}): RuntimeNodeItemType => {
-  return {
-    nodeId: nanoid(16),
-    flowNodeType: FlowNodeTypeEnum.toolSet,
-    avatar,
-    intro: 'MCP Tools',
-    inputs: [
-      {
-        key: 'toolSetData',
-        label: 'Tool Set Data',
-        valueType: WorkflowIOValueTypeEnum.object,
-        renderTypeList: [FlowNodeInputTypeEnum.hidden],
-        value: { url, toolList }
-      }
-    ],
-    outputs: [],
-    name: name || '',
-    version: ''
-  };
-};
-
-export const getMCPToolRuntimeNode = ({
-  tool,
-  url,
-  avatar = 'core/app/type/mcpToolsFill'
-}: {
-  tool: ToolType;
-  url: string;
-  avatar?: string;
-}): RuntimeNodeItemType => {
-  return {
-    nodeId: nanoid(16),
-    flowNodeType: FlowNodeTypeEnum.tool,
-    avatar,
-    intro: tool.description,
-    inputs: [
-      {
-        key: 'toolData',
-        label: 'Tool Data',
-        valueType: WorkflowIOValueTypeEnum.object,
-        renderTypeList: [FlowNodeInputTypeEnum.hidden],
-        value: { ...tool, url }
-      },
-      ...Object.entries(tool.inputSchema?.properties || {}).map(([key, value]) => ({
-        key,
-        label: key,
-        valueType: value.type as WorkflowIOValueTypeEnum,
-        description: value.description,
-        toolDescription: value.description || key,
-        required: tool.inputSchema?.required?.includes(key) || false,
-        renderTypeList: [
-          value.type === 'string'
-            ? FlowNodeInputTypeEnum.input
-            : value.type === 'number'
-              ? FlowNodeInputTypeEnum.numberInput
-              : value.type === 'boolean'
-                ? FlowNodeInputTypeEnum.switch
-                : FlowNodeInputTypeEnum.JSONEditor
-        ]
-      }))
-    ],
-    outputs: [
-      {
-        id: NodeOutputKeyEnum.rawResponse,
-        key: NodeOutputKeyEnum.rawResponse,
-        required: true,
-        label: i18nT('workflow:raw_response'),
-        description: i18nT('workflow:tool_raw_response_description'),
-        valueType: WorkflowIOValueTypeEnum.any,
-        type: FlowNodeOutputTypeEnum.static
-      }
-    ],
-    name: tool.name,
-    version: ''
-  };
-};

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

@@ -16,16 +16,6 @@ import { FlowNodeInputTypeEnum } from '../../core/workflow/node/constant';
 import { WorkflowTemplateBasicType } from '@fastgpt/global/core/workflow/type';
 import { SourceMemberType } from '../../support/user/type';
 
-export type ToolType = {
-  name: string;
-  description: string;
-  inputSchema: {
-    type: string;
-    properties?: Record<string, { type: string; description?: string }>;
-    required?: string[];
-  };
-};
-
 export type AppSchema = {
   _id: string;
   parentId?: ParentIdType;

packages/global/core/app/utils.ts

@@ -140,9 +140,7 @@ export const appWorkflow2Form = ({
       );
     } else if (
       node.flowNodeType === FlowNodeTypeEnum.pluginModule ||
-      node.flowNodeType === FlowNodeTypeEnum.appModule ||
+      node.flowNodeType === FlowNodeTypeEnum.appModule
-      node.flowNodeType === FlowNodeTypeEnum.tool ||
-      node.flowNodeType === FlowNodeTypeEnum.toolSet
     ) {
       if (!node.pluginId) return;
 

packages/global/core/chat/constants.ts

@@ -38,8 +38,7 @@ export enum ChatSourceEnum {
   team = 'team',
   feishu = 'feishu',
   official_account = 'official_account',
-  wecom = 'wecom',
+  wecom = 'wecom'
-  mcp = 'mcp'
 }
 
 export const ChatSourceMap = {
@@ -69,9 +68,6 @@ export const ChatSourceMap = {
   },
   [ChatSourceEnum.wecom]: {
     name: i18nT('common:core.chat.logs.wecom')
-  },
-  [ChatSourceEnum.mcp]: {
-    name: i18nT('common:core.chat.logs.mcp')
   }
 };
 

packages/global/core/chat/utils.ts

@@ -77,13 +77,6 @@ export const getHistoryPreview = (
   });
 };
 
-export const filterModuleTypeList: any[] = [
-  FlowNodeTypeEnum.pluginModule,
-  FlowNodeTypeEnum.datasetSearchNode,
-  FlowNodeTypeEnum.tools,
-  FlowNodeTypeEnum.pluginOutput
-];
-
 export const filterPublicNodeResponseData = ({
   flowResponses = [],
   responseDetail = false
@@ -94,6 +87,12 @@ export const filterPublicNodeResponseData = ({
   const filedList = responseDetail
     ? ['quoteList', 'moduleType', 'pluginOutput', 'runningTime']
     : ['moduleType', 'pluginOutput', 'runningTime'];
+  const filterModuleTypeList: any[] = [
+    FlowNodeTypeEnum.pluginModule,
+    FlowNodeTypeEnum.datasetSearchNode,
+    FlowNodeTypeEnum.tools,
+    FlowNodeTypeEnum.pluginOutput
+  ];
 
   return flowResponses
     .filter((item) => filterModuleTypeList.includes(item.moduleType))
@@ -154,55 +153,25 @@ export const getChatSourceByPublishChannel = (publishChannel: PublishChannelEnum
 /* 
   Merge chat responseData
   1. Same tool mergeSignId (Interactive tool node)
-  2. Recursively merge plugin details with same mergeSignId
 */
-export const mergeChatResponseData = (
+export const mergeChatResponseData = (responseDataList: ChatHistoryItemResType[]) => {
-  responseDataList: ChatHistoryItemResType[]
-): ChatHistoryItemResType[] => {
-  // Merge children reponse data(Children has interactive response)
-  const responseWithMergedPlugins = responseDataList.map((item) => {
-    if (item.pluginDetail && item.pluginDetail.length > 1) {
-      return {
-        ...item,
-        pluginDetail: mergeChatResponseData(item.pluginDetail)
-      };
-    }
-    return item;
-  });
-
   let lastResponse: ChatHistoryItemResType | undefined = undefined;
-  let hasMerged = false;
 
-  const firstPassResult = responseWithMergedPlugins.reduce<ChatHistoryItemResType[]>(
+  return responseDataList.reduce<ChatHistoryItemResType[]>((acc, curr) => {
-    (acc, curr) => {
+    if (lastResponse && lastResponse.mergeSignId && curr.mergeSignId === lastResponse.mergeSignId) {
-      if (
+      // 替换 lastResponse
-        lastResponse &&
+      const concatResponse: ChatHistoryItemResType = {
-        lastResponse.mergeSignId &&
+        ...curr,
-        curr.mergeSignId === lastResponse.mergeSignId
+        runningTime: +((lastResponse.runningTime || 0) + (curr.runningTime || 0)).toFixed(2),
-      ) {
+        totalPoints: (lastResponse.totalPoints || 0) + (curr.totalPoints || 0),
-        const concatResponse: ChatHistoryItemResType = {
+        childTotalPoints: (lastResponse.childTotalPoints || 0) + (curr.childTotalPoints || 0),
-          ...curr,
+        toolCallTokens: (lastResponse.toolCallTokens || 0) + (curr.toolCallTokens || 0),
-          runningTime: +((lastResponse.runningTime || 0) + (curr.runningTime || 0)).toFixed(2),
+        toolDetail: [...(lastResponse.toolDetail || []), ...(curr.toolDetail || [])]
-          totalPoints: (lastResponse.totalPoints || 0) + (curr.totalPoints || 0),
+      };
-          childTotalPoints: (lastResponse.childTotalPoints || 0) + (curr.childTotalPoints || 0),
+      return [...acc.slice(0, -1), concatResponse];
-          toolCallTokens: (lastResponse.toolCallTokens || 0) + (curr.toolCallTokens || 0),
+    } else {
-          toolDetail: [...(lastResponse.toolDetail || []), ...(curr.toolDetail || [])],
+      lastResponse = curr;
-          loopDetail: [...(lastResponse.loopDetail || []), ...(curr.loopDetail || [])],
+      return [...acc, curr];
-          pluginDetail: [...(lastResponse.pluginDetail || []), ...(curr.pluginDetail || [])]
+    }
-        };
+  }, []);
-        hasMerged = true;
-        return [...acc.slice(0, -1), concatResponse];
-      } else {
-        lastResponse = curr;
-        return [...acc, curr];
-      }
-    },
-    []
-  );
-
-  if (hasMerged && firstPassResult.length > 1) {
-    return mergeChatResponseData(firstPassResult);
-  }
-
-  return firstPassResult;
 };

packages/global/core/dataset/constants.ts

@@ -51,8 +51,7 @@ export const DatasetTypeMap = {
 export enum DatasetStatusEnum {
   active = 'active',
   syncing = 'syncing',
-  waiting = 'waiting',
+  waiting = 'waiting'
-  error = 'error'
 }
 export const DatasetStatusMap = {
   [DatasetStatusEnum.active]: {
@@ -63,9 +62,6 @@ export const DatasetStatusMap = {
   },
   [DatasetStatusEnum.waiting]: {
     label: i18nT('common:core.dataset.status.waiting')
-  },
-  [DatasetStatusEnum.error]: {
-    label: i18nT('dataset:status_error')
   }
 };
 

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

@@ -209,7 +209,6 @@ export type DatasetListItemType = {
 
 export type DatasetItemType = Omit<DatasetSchemaType, 'vectorModel' | 'agentModel' | 'vlmModel'> & {
   status: `${DatasetStatusEnum}`;
-  errorMsg?: string;
   vectorModel: EmbeddingModelItemType;
   agentModel: LLMModelItemType;
   vlmModel?: LLMModelItemType;

packages/global/core/workflow/node/constant.ts

@@ -7,7 +7,6 @@ export enum FlowNodeInputTypeEnum { // render ui
   numberInput = 'numberInput',
   switch = 'switch', // true/false
   select = 'select',
-  multipleSelect = 'multipleSelect',
 
   // editor
   JSONEditor = 'JSONEditor',
@@ -47,9 +46,6 @@ export const FlowNodeInputMap: Record<
   [FlowNodeInputTypeEnum.select]: {
     icon: 'core/workflow/inputType/option'
   },
-  [FlowNodeInputTypeEnum.multipleSelect]: {
-    icon: 'core/workflow/inputType/option'
-  },
   [FlowNodeInputTypeEnum.switch]: {
     icon: 'core/workflow/inputType/switch'
   },
@@ -140,9 +136,7 @@ export enum FlowNodeTypeEnum {
   loopStart = 'loopStart',
   loopEnd = 'loopEnd',
   formInput = 'formInput',
-  comment = 'comment',
+  comment = 'comment'
-  tool = 'tool',
-  toolSet = 'toolSet'
 }
 
 // node IO value type

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

@@ -23,7 +23,7 @@ import { WorkflowResponseType } from '../../../../service/core/workflow/dispatch
 import { AiChatQuoteRoleType } from '../template/system/aiChat/type';
 import { LafAccountType, OpenaiAccountType } from '../../../support/user/team/type';
 import { CompletionFinishReason } from '../../ai/type';
-import { WorkflowInteractiveResponseType } from '../template/system/interactive/type';
+
 export type ExternalProviderType = {
   openaiAccount?: OpenaiAccountType;
   externalWorkflowVariables?: Record<string, string>;
@@ -55,14 +55,12 @@ export type ChatDispatchProps = {
   variables: Record<string, any>; // global variable
   query: UserChatItemValueItemType[]; // trigger query
   chatConfig: AppSchema['chatConfig'];
-  lastInteractive?: WorkflowInteractiveResponseType; // last interactive response
   stream: boolean;
   maxRunTimes: number;
   isToolCall?: boolean;
   workflowStreamResponse?: WorkflowResponseType;
   workflowDispatchDeep?: number;
   version?: 'v1' | 'v2';
-  responseDetail?: boolean;
 };
 
 export type ModuleDispatchProps<T> = ChatDispatchProps & {
@@ -217,8 +215,6 @@ export type DispatchNodeResponseType = {
   // tool params
   toolParamsResult?: Record<string, any>;
 
-  toolRes?: any;
-
   // abandon
   extensionModel?: string;
   extensionResult?: string;

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

@@ -10,23 +10,7 @@ import { FlowNodeOutputItemType, ReferenceValueType } from '../type/io';
 import { ChatItemType, NodeOutputItemType } from '../../../core/chat/type';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '../../../core/chat/constants';
 import { replaceVariable, valToStr } from '../../../common/string/tools';
-import json5 from 'json5';
-import {
-  InteractiveNodeResponseType,
-  WorkflowInteractiveResponseType
-} from '../template/system/interactive/type';
 
-export const extractDeepestInteractive = (
-  interactive: WorkflowInteractiveResponseType
-): WorkflowInteractiveResponseType => {
-  if (
-    (interactive?.type === 'childrenInteractive' || interactive?.type === 'loopInteractive') &&
-    interactive.params?.childrenResponse
-  ) {
-    return extractDeepestInteractive(interactive.params.childrenResponse);
-  }
-  return interactive;
-};
 export const getMaxHistoryLimitFromNodes = (nodes: StoreNodeItemType[]): number => {
   let limit = 10;
   nodes.forEach((node) => {
@@ -44,122 +28,13 @@ export const getMaxHistoryLimitFromNodes = (nodes: StoreNodeItemType[]): number
   return limit * 2;
 };
 
-/* value type format */
-export const valueTypeFormat = (value: any, type?: WorkflowIOValueTypeEnum) => {
-  const isObjectString = (value: any) => {
-    if (typeof value === 'string' && value !== 'false' && value !== 'true') {
-      const trimmedValue = value.trim();
-      const isJsonString =
-        (trimmedValue.startsWith('{') && trimmedValue.endsWith('}')) ||
-        (trimmedValue.startsWith('[') && trimmedValue.endsWith(']'));
-      return isJsonString;
-    }
-    return false;
-  };
-
-  // 1. any值，忽略格式化
-  if (value === undefined || value === null) return value;
-  if (!type || type === WorkflowIOValueTypeEnum.any) return value;
-
-  // 2. 如果值已经符合目标类型，直接返回
-  if (
-    (type === WorkflowIOValueTypeEnum.string && typeof value === 'string') ||
-    (type === WorkflowIOValueTypeEnum.number && typeof value === 'number') ||
-    (type === WorkflowIOValueTypeEnum.boolean && typeof value === 'boolean') ||
-    (type.startsWith('array') && Array.isArray(value)) ||
-    (type === WorkflowIOValueTypeEnum.object && typeof value === 'object') ||
-    (type === WorkflowIOValueTypeEnum.chatHistory &&
-      (Array.isArray(value) || typeof value === 'number')) ||
-    (type === WorkflowIOValueTypeEnum.datasetQuote && Array.isArray(value)) ||
-    (type === WorkflowIOValueTypeEnum.selectDataset && Array.isArray(value)) ||
-    (type === WorkflowIOValueTypeEnum.selectApp && typeof value === 'object')
-  ) {
-    return value;
-  }
-
-  // 4. 按目标类型，进行格式转化
-  // 4.1 基本类型转换
-  if (type === WorkflowIOValueTypeEnum.string) {
-    return typeof value === 'object' ? JSON.stringify(value) : String(value);
-  }
-  if (type === WorkflowIOValueTypeEnum.number) {
-    return Number(value);
-  }
-  if (type === WorkflowIOValueTypeEnum.boolean) {
-    if (typeof value === 'string') {
-      return value.toLowerCase() === 'true';
-    }
-    return Boolean(value);
-  }
-
-  // 4.3 字符串转对象
-  if (
-    (type === WorkflowIOValueTypeEnum.object || type.startsWith('array')) &&
-    typeof value === 'string' &&
-    value.trim()
-  ) {
-    const trimmedValue = value.trim();
-    const isJsonString = isObjectString(trimmedValue);
-
-    if (isJsonString) {
-      try {
-        const parsed = json5.parse(trimmedValue);
-        // 检测解析结果与目标类型是否一致
-        if (type.startsWith('array') && Array.isArray(parsed)) return parsed;
-        if (type === WorkflowIOValueTypeEnum.object && typeof parsed === 'object') return parsed;
-      } catch (error) {}
-    }
-  }
-
-  // 4.4 数组类型(这里 value 不是数组类型)（TODO: 嵌套数据类型转化）
-  if (type.startsWith('array')) {
-    return [value];
-  }
-
-  // 4.5 特殊类型处理
-  if (
-    [WorkflowIOValueTypeEnum.datasetQuote, WorkflowIOValueTypeEnum.selectDataset].includes(type)
-  ) {
-    if (isObjectString(value)) {
-      try {
-        return json5.parse(value);
-      } catch (error) {
-        return [];
-      }
-    }
-    return [];
-  }
-  if (
-    [WorkflowIOValueTypeEnum.selectApp, WorkflowIOValueTypeEnum.object].includes(type) &&
-    typeof value === 'string'
-  ) {
-    if (isObjectString(value)) {
-      try {
-        return json5.parse(value);
-      } catch (error) {
-        return {};
-      }
-    }
-    return {};
-  }
-  // Invalid history type
-  if (type === WorkflowIOValueTypeEnum.chatHistory) {
-    return 0;
-  }
-
-  // 5. 默认返回原值
-  return value;
-};
-
 /* 
   Get interaction information (if any) from the last AI message.
   What can be done:
   1. Get the interactive data
   2. Check that the workflow starts at the interaction node
 */
-export const getLastInteractiveValue = (
+export const getLastInteractiveValue = (histories: ChatItemType[]) => {
-  histories: ChatItemType[]
-): WorkflowInteractiveResponseType | undefined => {
   const lastAIMessage = [...histories].reverse().find((item) => item.obj === ChatRoleEnum.AI);
 
   if (lastAIMessage) {
@@ -170,14 +45,7 @@ export const getLastInteractiveValue = (
       lastValue.type !== ChatItemValueTypeEnum.interactive ||
       !lastValue.interactive
     ) {
-      return;
+      return null;
-    }
-
-    if (
-      lastValue.interactive.type === 'childrenInteractive' ||
-      lastValue.interactive.type === 'loopInteractive'
-    ) {
-      return lastValue.interactive;
     }
 
     // Check is user select
@@ -194,29 +62,38 @@ export const getLastInteractiveValue = (
     }
   }
 
-  return;
+  return null;
 };
 
-export const storeEdges2RuntimeEdges = (
+export const initWorkflowEdgeStatus = (
-  edges: StoreEdgeItemType[],
+  edges: StoreEdgeItemType[] | RuntimeEdgeItemType[],
-  lastInteractive?: WorkflowInteractiveResponseType
+  histories?: ChatItemType[]
 ): RuntimeEdgeItemType[] => {
-  if (lastInteractive) {
+  // If there is a history, use the last interactive value
-    const memoryEdges = lastInteractive.memoryEdges || [];
+  if (histories && histories.length > 0) {
+    const memoryEdges = getLastInteractiveValue(histories)?.memoryEdges;
+
     if (memoryEdges && memoryEdges.length > 0) {
       return memoryEdges;
     }
   }
 
-  return edges?.map((edge) => ({ ...edge, status: 'waiting' })) || [];
+  return (
+    edges?.map((edge) => ({
+      ...edge,
+      status: 'waiting'
+    })) || []
+  );
 };
 
 export const getWorkflowEntryNodeIds = (
   nodes: (StoreNodeItemType | RuntimeNodeItemType)[],
-  lastInteractive?: WorkflowInteractiveResponseType
+  histories?: ChatItemType[]
 ) => {
-  if (lastInteractive) {
+  // If there is a history, use the last interactive entry node
-    const entryNodeIds = lastInteractive.entryNodeIds || [];
+  if (histories && histories.length > 0) {
+    const entryNodeIds = getLastInteractiveValue(histories)?.entryNodeIds;
+
     if (Array.isArray(entryNodeIds) && entryNodeIds.length > 0) {
       return entryNodeIds;
     }
@@ -228,12 +105,7 @@ export const getWorkflowEntryNodeIds = (
     FlowNodeTypeEnum.pluginInput
   ];
   return nodes
-    .filter(
+    .filter((node) => entryList.includes(node.flowNodeType as any))
-      (node) =>
-        entryList.includes(node.flowNodeType as any) ||
-        (!nodes.some((item) => entryList.includes(item.flowNodeType as any)) &&
-          node.flowNodeType === FlowNodeTypeEnum.tool)
-    )
     .map((item) => item.nodeId);
 };
 
@@ -431,6 +303,7 @@ export const formatVariableValByType = (val: any, valueType?: WorkflowIOValueTyp
   if (
     [
       WorkflowIOValueTypeEnum.object,
+      WorkflowIOValueTypeEnum.chatHistory,
       WorkflowIOValueTypeEnum.datasetQuote,
       WorkflowIOValueTypeEnum.selectApp,
       WorkflowIOValueTypeEnum.selectDataset
@@ -523,10 +396,10 @@ export const textAdaptGptResponse = ({
 
 /* Update runtimeNode's outputs with interactive data from history */
 export function rewriteNodeOutputByHistories(
-  runtimeNodes: RuntimeNodeItemType[],
+  histories: ChatItemType[],
-  lastInteractive?: InteractiveNodeResponseType
+  runtimeNodes: RuntimeNodeItemType[]
 ) {
-  const interactive = lastInteractive;
+  const interactive = getLastInteractiveValue(histories);
   if (!interactive?.nodeOutputs) {
     return runtimeNodes;
   }

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

@@ -34,8 +34,6 @@ import { LoopStartNode } from './system/loop/loopStart';
 import { LoopEndNode } from './system/loop/loopEnd';
 import { FormInputNode } from './system/interactive/formInput';
 import { ToolParamsNode } from './system/toolParams';
-import { RunToolNode } from './system/runTool';
-import { RunToolSetNode } from './system/runToolSet';
 
 const systemNodes: FlowNodeTemplateType[] = [
   AiChatModule,
@@ -86,7 +84,5 @@ export const moduleTemplatesFlat: FlowNodeTemplateType[] = [
   RunAppNode,
   RunAppModule,
   LoopStartNode,
-  LoopEndNode,
+  LoopEndNode
-  RunToolNode,
-  RunToolSetNode
 ];

packages/global/core/workflow/template/input.ts

@@ -8,7 +8,7 @@ import { i18nT } from '../../../../web/i18n/utils';
 export const Input_Template_History: FlowNodeInputItemType = {
   key: NodeInputKeyEnum.history,
   renderTypeList: [FlowNodeInputTypeEnum.numberInput, FlowNodeInputTypeEnum.reference],
-  valueType: WorkflowIOValueTypeEnum.chatHistory, // Array / Number
+  valueType: WorkflowIOValueTypeEnum.chatHistory,
   label: i18nT('common:core.module.input.label.chat history'),
   description: i18nT('workflow:max_dialog_rounds'),
 

packages/global/core/workflow/template/system/interactive/type.d.ts

@@ -1,5 +1,6 @@
 import type { NodeOutputItemType } from '../../../../chat/type';
 import type { FlowNodeOutputItemType } from '../../../type/io';
+import type { RuntimeEdgeItemType } from '../../../runtime/type';
 import { FlowNodeInputTypeEnum } from 'core/workflow/node/constant';
 import { WorkflowIOValueTypeEnum } from 'core/workflow/constants';
 import type { ChatCompletionMessageParam } from '../../../../ai/type';
@@ -8,6 +9,7 @@ type InteractiveBasicType = {
   entryNodeIds: string[];
   memoryEdges: RuntimeEdgeItemType[];
   nodeOutputs: NodeOutputItemType[];
+
   toolParams?: {
     entryNodeIds: string[]; // 记录工具中，交互节点的 Id，而不是起始工作流的入口
     memoryMessages: ChatCompletionMessageParam[]; // 这轮工具中，产生的新的 messages
@@ -21,22 +23,6 @@ type InteractiveNodeType = {
   nodeOutputs?: NodeOutputItemType[];
 };
 
-type ChildrenInteractive = InteractiveNodeType & {
-  type: 'childrenInteractive';
-  params: {
-    childrenResponse?: WorkflowInteractiveResponseType;
-  };
-};
-
-type LoopInteractive = InteractiveNodeType & {
-  type: 'loopInteractive';
-  params: {
-    loopResult: any[];
-    childrenResponse: WorkflowInteractiveResponseType;
-    currentIndex: number;
-  };
-};
-
 export type UserSelectOptionItemType = {
   key: string;
   value: string;
@@ -76,11 +62,5 @@ type UserInputInteractive = InteractiveNodeType & {
     submitted?: boolean;
   };
 };
-
+export type InteractiveNodeResponseType = UserSelectInteractive | UserInputInteractive;
-export type InteractiveNodeResponseType =
-  | UserSelectInteractive
-  | UserInputInteractive
-  | ChildrenInteractive
-  | LoopInteractive;
-
 export type WorkflowInteractiveResponseType = InteractiveBasicType & InteractiveNodeResponseType;

packages/global/core/workflow/template/system/runTool.ts

@@ -1,19 +0,0 @@
-import { FlowNodeTemplateTypeEnum } from '../../constants';
-import { FlowNodeTypeEnum } from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type/node';
-import { getHandleConfig } from '../utils';
-
-export const RunToolNode: FlowNodeTemplateType = {
-  id: FlowNodeTypeEnum.tool,
-  templateType: FlowNodeTemplateTypeEnum.other,
-  flowNodeType: FlowNodeTypeEnum.tool,
-  sourceHandle: getHandleConfig(true, true, true, true),
-  targetHandle: getHandleConfig(true, true, true, true),
-  intro: '',
-  name: '',
-  showStatus: false,
-  isTool: true,
-  version: '4.9.6',
-  inputs: [],
-  outputs: []
-};

packages/global/core/workflow/template/system/runToolSet.ts

@@ -1,19 +0,0 @@
-import { FlowNodeTemplateTypeEnum } from '../../constants';
-import { FlowNodeTypeEnum } from '../../node/constant';
-import { FlowNodeTemplateType } from '../../type/node';
-import { getHandleConfig } from '../utils';
-
-export const RunToolSetNode: FlowNodeTemplateType = {
-  id: FlowNodeTypeEnum.toolSet,
-  templateType: FlowNodeTemplateTypeEnum.other,
-  flowNodeType: FlowNodeTypeEnum.toolSet,
-  sourceHandle: getHandleConfig(false, false, false, false),
-  targetHandle: getHandleConfig(false, false, false, false),
-  intro: '',
-  name: '',
-  showStatus: false,
-  isTool: true,
-  version: '4.9.6',
-  inputs: [],
-  outputs: []
-};

packages/global/core/workflow/utils.ts

@@ -311,38 +311,6 @@ export const appData2FlowNodeIO = ({
   };
 };
 
-export const toolData2FlowNodeIO = ({
-  nodes
-}: {
-  nodes: StoreNodeItemType[];
-}): {
-  inputs: FlowNodeInputItemType[];
-  outputs: FlowNodeOutputItemType[];
-} => {
-  const toolNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.tool);
-
-  return {
-    inputs: toolNode?.inputs || [],
-    outputs: toolNode?.outputs || []
-  };
-};
-
-export const toolSetData2FlowNodeIO = ({
-  nodes
-}: {
-  nodes: StoreNodeItemType[];
-}): {
-  inputs: FlowNodeInputItemType[];
-  outputs: FlowNodeOutputItemType[];
-} => {
-  const toolSetNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.toolSet);
-
-  return {
-    inputs: toolSetNode?.inputs || [],
-    outputs: toolSetNode?.outputs || []
-  };
-};
-
 export const formatEditorVariablePickerIcon = (
   variables: { key: string; label: string; type?: `${VariableInputEnum}`; required?: boolean }[]
 ): EditorVariablePickerType[] => {

packages/global/support/mcp/type.d.ts

@@ -1,14 +0,0 @@
-export type McpKeyType = {
-  _id: string;
-  key: string;
-  teamId: string;
-  tmbId: string;
-  apps: McpAppType[];
-  name: string;
-};
-
-export type McpAppType = {
-  appId: string;
-  toolName: string;
-  description: string;
-};

packages/global/support/operationLog/constants.ts

@@ -1,14 +0,0 @@
-export enum OperationLogEventEnum {
-  LOGIN = 'LOGIN',
-  CREATE_INVITATION_LINK = 'CREATE_INVITATION_LINK',
-  JOIN_TEAM = 'JOIN_TEAM',
-  CHANGE_MEMBER_NAME = 'CHANGE_MEMBER_NAME',
-  KICK_OUT_TEAM = 'KICK_OUT_TEAM',
-  CREATE_DEPARTMENT = 'CREATE_DEPARTMENT',
-  CHANGE_DEPARTMENT = 'CHANGE_DEPARTMENT',
-  DELETE_DEPARTMENT = 'DELETE_DEPARTMENT',
-  RELOCATE_DEPARTMENT = 'RELOCATE_DEPARTMENT',
-  CREATE_GROUP = 'CREATE_GROUP',
-  DELETE_GROUP = 'DELETE_GROUP',
-  ASSIGN_PERMISSION = 'ASSIGN_PERMISSION'
-}

packages/global/support/operationLog/type.d.ts

@@ -1,19 +0,0 @@
-import { SourceMemberType } from '../user/type';
-import { OperationLogEventEnum } from './constants';
-
-export type OperationLogSchema = {
-  _id: string;
-  tmbId: string;
-  teamId: string;
-  timestamp: Date;
-  event: `${OperationLogEventEnum}`;
-  metadata?: Record<string, string>;
-};
-
-export type OperationListItemType = {
-  _id: string;
-  sourceMember: SourceMemberType;
-  event: `${OperationLogEventEnum}`;
-  timestamp: Date;
-  metadata: Record<string, string>;
-};

packages/global/support/permission/collaborator.d.ts

@@ -13,15 +13,12 @@ export type CollaboratorItemType = {
   orgId: string;
 }>;
 
-export type UpdateClbPermissionProps<addOnly = false> = {
+export type UpdateClbPermissionProps = {
   members?: string[];
   groups?: string[];
   orgs?: string[];
-} & (addOnly extends true
+  permission: PermissionValueType;
-  ? {}
+};
-  : {
-      permission: PermissionValueType;
-    });
 
 export type DeletePermissionQuery = RequireOnlyOne<{
   tmbId?: string;

packages/global/support/permission/controller.ts

@@ -5,16 +5,15 @@ export type PerConstructPros = {
   per?: PermissionValueType;
   isOwner?: boolean;
   permissionList?: PermissionListType;
-  childUpdatePermissionCallback?: () => void;
 };
 
 // the Permission helper class
 export class Permission {
   value: PermissionValueType;
-  isOwner: boolean = false;
+  isOwner: boolean;
-  hasManagePer: boolean = false;
+  hasManagePer: boolean;
-  hasWritePer: boolean = false;
+  hasWritePer: boolean;
-  hasReadPer: boolean = false;
+  hasReadPer: boolean;
   _permissionList: PermissionListType;
 
   constructor(props?: PerConstructPros) {
@@ -25,8 +24,11 @@ export class Permission {
       this.value = per;
     }
 
+    this.isOwner = isOwner;
     this._permissionList = permissionList;
-    this.updatePermissions();
+    this.hasManagePer = this.checkPer(this._permissionList['manage'].value);
+    this.hasWritePer = this.checkPer(this._permissionList['write'].value);
+    this.hasReadPer = this.checkPer(this._permissionList['read'].value);
   }
 
   // add permission(s)
@@ -66,21 +68,10 @@ export class Permission {
     return (this.value & perm) === perm;
   }
 
-  private updatePermissionCallback?: () => void;
-  setUpdatePermissionCallback(callback: () => void) {
-    callback();
-    this.updatePermissionCallback = callback;
-  }
-
   private updatePermissions() {
     this.isOwner = this.value === OwnerPermissionVal;
     this.hasManagePer = this.checkPer(this._permissionList['manage'].value);
     this.hasWritePer = this.checkPer(this._permissionList['write'].value);
     this.hasReadPer = this.checkPer(this._permissionList['read'].value);
-    this.updatePermissionCallback?.();
-  }
-
-  toBinary() {
-    return this.value.toString(2);
   }
 }

packages/global/support/permission/memberGroup/type.d.ts

@@ -17,23 +17,23 @@ type GroupMemberSchemaType = {
   role: `${GroupMemberRole}`;
 };
 
-type MemberGroupListItemType<WithMembers extends boolean | undefined> = MemberGroupSchemaType & {
+type MemberGroupListItemType<T extends boolean | undefined> = MemberGroupSchemaType & {
-  members: WithMembers extends true
+  members: T extends true
     ? {
         tmbId: string;
         name: string;
         avatar: string;
       }[]
     : undefined;
-  count: WithMembers extends true ? number : undefined;
+  count: T extends true ? number : undefined;
-  owner?: WithMembers extends true
+  owner?: T extends true
     ? {
         tmbId: string;
         name: string;
         avatar: string;
       }
     : undefined;
-  permission: WithMembers extends true ? Permission : undefined;
+  permission: T extends true ? Permission : undefined;
 };
 
 type GroupMemberItemType = {

packages/global/support/permission/user/constant.ts

@@ -1,50 +1,22 @@
 import { PermissionKeyEnum } from '../constant';
 import { PermissionListType } from '../type';
 import { PermissionList } from '../constant';
-import { i18nT } from '../../../../web/i18n/utils';
+export const TeamPermissionList: PermissionListType = {
-export enum TeamPermissionKeyEnum {
-  appCreate = 'appCreate',
-  datasetCreate = 'datasetCreate',
-  apikeyCreate = 'apikeyCreate'
-}
-
-export const TeamPermissionList: PermissionListType<TeamPermissionKeyEnum> = {
   [PermissionKeyEnum.read]: {
     ...PermissionList[PermissionKeyEnum.read],
-    value: 0b000100
+    value: 0b100
   },
   [PermissionKeyEnum.write]: {
     ...PermissionList[PermissionKeyEnum.write],
-    value: 0b000010
+    value: 0b010
   },
   [PermissionKeyEnum.manage]: {
     ...PermissionList[PermissionKeyEnum.manage],
-    value: 0b000001
+    value: 0b001
-  },
-  [TeamPermissionKeyEnum.appCreate]: {
-    checkBoxType: 'multiple',
-    description: '',
-    name: i18nT('account_team:permission_appCreate'),
-    value: 0b001000
-  },
-  [TeamPermissionKeyEnum.datasetCreate]: {
-    checkBoxType: 'multiple',
-    description: '',
-    name: i18nT('account_team:permission_datasetCreate'),
-    value: 0b010000
-  },
-  [TeamPermissionKeyEnum.apikeyCreate]: {
-    checkBoxType: 'multiple',
-    description: '',
-    name: i18nT('account_team:permission_apikeyCreate'),
-    value: 0b100000
   }
 };
 
 export const TeamReadPermissionVal = TeamPermissionList['read'].value;
 export const TeamWritePermissionVal = TeamPermissionList['write'].value;
 export const TeamManagePermissionVal = TeamPermissionList['manage'].value;
-export const TeamAppCreatePermissionVal = TeamPermissionList['appCreate'].value;
-export const TeamDatasetCreatePermissionVal = TeamPermissionList['datasetCreate'].value;
-export const TeamApikeyCreatePermissionVal = TeamPermissionList['apikeyCreate'].value;
 export const TeamDefaultPermissionVal = TeamReadPermissionVal;

packages/global/support/permission/user/controller.ts

@@ -1,17 +1,7 @@
 import { PerConstructPros, Permission } from '../controller';
-import {
+import { TeamDefaultPermissionVal, TeamPermissionList } from './constant';
-  TeamApikeyCreatePermissionVal,
-  TeamAppCreatePermissionVal,
-  TeamDatasetCreatePermissionVal,
-  TeamDefaultPermissionVal,
-  TeamPermissionList
-} from './constant';
 
 export class TeamPermission extends Permission {
-  hasAppCreatePer: boolean = false;
-  hasDatasetCreatePer: boolean = false;
-  hasApikeyCreatePer: boolean = false;
-
   constructor(props?: PerConstructPros) {
     if (!props) {
       props = {
@@ -22,11 +12,5 @@ export class TeamPermission extends Permission {
     }
     props.permissionList = TeamPermissionList;
     super(props);
-
-    this.setUpdatePermissionCallback(() => {
-      this.hasAppCreatePer = this.checkPer(TeamAppCreatePermissionVal);
-      this.hasDatasetCreatePer = this.checkPer(TeamDatasetCreatePermissionVal);
-      this.hasApikeyCreatePer = this.checkPer(TeamApikeyCreatePermissionVal);
-    });
   }
 }

packages/global/support/wallet/usage/constants.ts

@@ -11,8 +11,7 @@ export enum UsageSourceEnum {
   feishu = 'feishu',
   dingtalk = 'dingtalk',
   official_account = 'official_account',
-  pdfParse = 'pdfParse',
+  pdfParse = 'pdfParse'
-  mcp = 'mcp'
 }
 
 export const UsageSourceMap = {
@@ -48,8 +47,5 @@ export const UsageSourceMap = {
   },
   [UsageSourceEnum.pdfParse]: {
     label: i18nT('account_usage:pdf_parse')
-  },
-  [UsageSourceEnum.mcp]: {
-    label: i18nT('account_usage:mcp')
   }
 };

packages/service/common/api/requestPlusApi.ts

@@ -1,6 +1,7 @@
+import { POST } from './plusRequest';
+
 export const postTextCensor = (data: { text: string }) =>
-  global
+  POST<{ code?: number; message: string }>('/common/censor/check', data)
-    .textCensorHandler(data)
     .then((res) => {
       if (res?.code === 5000) {
         return Promise.reject(res);

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

@@ -1,29 +0,0 @@
-import { FeishuServer, YuqueServer } from '@fastgpt/global/core/dataset/apiDataset';
-import {
-  DeepRagSearchProps,
-  SearchDatasetDataResponse
-} from '../../core/dataset/search/controller';
-import { AuthOpenApiLimitProps } from '../../support/openapi/auth';
-import { CreateUsageProps, ConcatUsageProps } from '@fastgpt/global/support/wallet/usage/api';
-import {
-  GetProApiDatasetFileContentParams,
-  GetProApiDatasetFileListParams,
-  GetProApiDatasetFilePreviewUrlParams
-} from '../../core/dataset/apiDataset/proApi';
-
-declare global {
-  var textCensorHandler: (params: { text: string }) => Promise<{ code: number; message?: string }>;
-  var deepRagHandler: (data: DeepRagSearchProps) => Promise<SearchDatasetDataResponse>;
-  var authOpenApiHandler: (data: AuthOpenApiLimitProps) => Promise<any>;
-  var createUsageHandler: (data: CreateUsageProps) => Promise<void>;
-  var concatUsageHandler: (data: ConcatUsageProps) => Promise<void>;
-
-  // API dataset
-  var getProApiDatasetFileList: (data: GetProApiDatasetFileListParams) => Promise<APIFileItem[]>;
-  var getProApiDatasetFileContent: (
-    data: GetProApiDatasetFileContentParams
-  ) => Promise<ApiFileReadContentResponse>;
-  var getProApiDatasetFilePreviewUrl: (
-    data: GetProApiDatasetFilePreviewUrlParams
-  ) => Promise<string>;
-}

packages/service/common/bullmq/index.ts

@@ -69,11 +69,6 @@ export function getWorker<DataType, ReturnType = void>(
   newWorker.on('error', (error) => {
     addLog.error(`MQ Worker [${name}]: ${error.message}`, error);
   });
-  newWorker.on('failed', (jobId, error) => {
-    addLog.error(`MQ Worker [${name}]: ${error.message}`, error);
-  });
   workers.set(name, newWorker);
   return newWorker;
 }
-
-export * from 'bullmq';

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

@@ -32,13 +32,3 @@ export const getImageBase64 = async (url: string) => {
     return Promise.reject(error);
   }
 };
-
-export const addEndpointToImageUrl = (text: string) => {
-  const baseURL = process.env.FE_DOMAIN;
-  if (!baseURL) return text;
-  // 匹配 /api/system/img/xxx.xx 的图片链接，并追加 baseURL
-  return text.replace(
-    /(?<!https?:\/\/[^\s]*)(?:\/api\/system\/img\/[^\s.]*\.[^\s]*)/g,
-    (match) => `${baseURL}${match}`
-  );
-};

packages/service/common/mongo/index.ts

@@ -69,7 +69,7 @@ const addCommonMiddleware = (schema: mongoose.Schema) => {
 
 export const getMongoModel = <T>(name: string, schema: mongoose.Schema) => {
   if (connectionMongo.models[name]) return connectionMongo.models[name] as Model<T>;
-  if (process.env.NODE_ENV !== 'test') console.log('Load model======', name);
+  console.log('Load model======', name);
   addCommonMiddleware(schema);
 
   const model = connectionMongo.model<T>(name, schema);

packages/service/common/system/constants.ts

@@ -1,3 +1,4 @@
 export const FastGPTProUrl = process.env.PRO_URL ? `${process.env.PRO_URL}/api` : '';
+export const isFastGPTMainService = !!process.env.PRO_URL;
 // @ts-ignore
 export const isFastGPTProService = () => !!global.systemConfig;

packages/service/common/vectorStore/controller.ts

@@ -7,8 +7,6 @@ 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';
-import { throttle } from 'lodash';
-import { retryFn } from '@fastgpt/global/common/system/utils';
 
 const getVectorObj = () => {
   if (PG_ADDRESS) return new PgVectorCtrl();
@@ -17,12 +15,7 @@ const getVectorObj = () => {
 
   return new PgVectorCtrl();
 };
-
 const getChcheKey = (teamId: string) => `${CacheKeyEnum.team_vector_count}:${teamId}`;
-const onDelCache = throttle((teamId: string) => delRedisCache(getChcheKey(teamId)), 30000, {
-  leading: true,
-  trailing: true
-});
 
 const Vector = getVectorObj();
 
@@ -56,28 +49,26 @@ export const insertDatasetDataVector = async ({
   query: string;
   model: EmbeddingModelItemType;
 }) => {
-  return retryFn(async () => {
+  const { vectors, tokens } = await getVectorsByText({
-    const { vectors, tokens } = await getVectorsByText({
+    model,
-      model,
+    input: query,
-      input: query,
+    type: 'db'
-      type: 'db'
-    });
-    const { insertId } = await Vector.insert({
-      ...props,
-      vector: vectors[0]
-    });
-
-    onDelCache(props.teamId);
-
-    return {
-      tokens,
-      insertId
-    };
   });
+  const { insertId } = await Vector.insert({
+    ...props,
+    vector: vectors[0]
+  });
+
+  delRedisCache(getChcheKey(props.teamId));
+
+  return {
+    tokens,
+    insertId
+  };
 };
 
 export const deleteDatasetDataVector = async (props: DelDatasetVectorCtrlProps) => {
   const result = await Vector.delete(props);
-  onDelCache(props.teamId);
+  delRedisCache(getChcheKey(props.teamId));
   return result;
 };

packages/service/core/ai/config/provider/Gemini.json

@@ -1,30 +1,6 @@
 {
   "provider": "Gemini",
   "list": [
-    {
-      "model": "gemini-2.5-pro-exp-03-25",
-      "name": "gemini-2.5-pro-exp-03-25",
-      "maxContext": 1000000,
-      "maxResponse": 63000,
-      "quoteMaxToken": 1000000,
-      "maxTemperature": 1,
-      "vision": true,
-      "toolChoice": true,
-      "functionCall": false,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "usedInQueryExtension": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm",
-      "showTopP": true,
-      "showStopSign": true
-    },
     {
       "model": "gemini-2.0-flash",
       "name": "gemini-2.0-flash",

packages/service/core/ai/config/provider/Grok.json

@@ -1,54 +1,6 @@
 {
   "provider": "Grok",
   "list": [
-    {
-      "model": "grok-3-mini",
-      "name": "grok-3-mini",
-      "maxContext": 128000,
-      "maxResponse": 8000,
-      "quoteMaxToken": 128000,
-      "maxTemperature": 1,
-      "showTopP": true,
-      "showStopSign": true,
-      "vision": false,
-      "toolChoice": true,
-      "functionCall": false,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "usedInQueryExtension": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm"
-    },
-    {
-      "model": "grok-3-mini-fast",
-      "name": "grok-3-mini-fast",
-      "maxContext": 128000,
-      "maxResponse": 8000,
-      "quoteMaxToken": 128000,
-      "maxTemperature": 1,
-      "showTopP": true,
-      "showStopSign": true,
-      "vision": false,
-      "toolChoice": true,
-      "functionCall": false,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "usedInQueryExtension": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm"
-    },
     {
       "model": "grok-3",
       "name": "grok-3",
@@ -59,31 +11,7 @@
       "showTopP": true,
       "showStopSign": true,
       "vision": false,
-      "toolChoice": true,
+      "toolChoice": false,
-      "functionCall": false,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "usedInQueryExtension": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm"
-    },
-    {
-      "model": "grok-3-fast",
-      "name": "grok-3-fast",
-      "maxContext": 128000,
-      "maxResponse": 8000,
-      "quoteMaxToken": 128000,
-      "maxTemperature": 1,
-      "showTopP": true,
-      "showStopSign": true,
-      "vision": false,
-      "toolChoice": true,
       "functionCall": false,
       "defaultSystemChatPrompt": "",
       "datasetProcess": true,

packages/service/core/ai/config/provider/OpenAI.json

@@ -1,78 +1,6 @@
 {
   "provider": "OpenAI",
   "list": [
-    {
-      "model": "gpt-4.1",
-      "name": "gpt-4.1",
-      "maxContext": 1000000,
-      "maxResponse": 32000,
-      "quoteMaxToken": 1000000,
-      "maxTemperature": 1.2,
-      "showTopP": true,
-      "responseFormatList": ["text", "json_object", "json_schema"],
-      "showStopSign": true,
-      "vision": true,
-      "toolChoice": true,
-      "functionCall": true,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm"
-    },
-    {
-      "model": "gpt-4.1-mini",
-      "name": "gpt-4.1-mini",
-      "maxContext": 1000000,
-      "maxResponse": 32000,
-      "quoteMaxToken": 1000000,
-      "maxTemperature": 1.2,
-      "showTopP": true,
-      "responseFormatList": ["text", "json_object", "json_schema"],
-      "showStopSign": true,
-      "vision": true,
-      "toolChoice": true,
-      "functionCall": true,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm"
-    },
-    {
-      "model": "gpt-4.1-nano",
-      "name": "gpt-4.1-nano",
-      "maxContext": 1000000,
-      "maxResponse": 32000,
-      "quoteMaxToken": 1000000,
-      "maxTemperature": 1.2,
-      "showTopP": true,
-      "responseFormatList": ["text", "json_object", "json_schema"],
-      "showStopSign": true,
-      "vision": true,
-      "toolChoice": true,
-      "functionCall": true,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {},
-      "fieldMap": {},
-      "type": "llm"
-    },
     {
       "model": "gpt-4o-mini",
       "name": "GPT-4o-mini",
@@ -81,7 +9,11 @@
       "quoteMaxToken": 60000,
       "maxTemperature": 1.2,
       "showTopP": true,
-      "responseFormatList": ["text", "json_object", "json_schema"],
+      "responseFormatList": [
+        "text",
+        "json_object",
+        "json_schema"
+      ],
       "showStopSign": true,
       "vision": true,
       "toolChoice": true,
@@ -105,7 +37,11 @@
       "quoteMaxToken": 60000,
       "maxTemperature": 1.2,
       "showTopP": true,
-      "responseFormatList": ["text", "json_object", "json_schema"],
+      "responseFormatList": [
+        "text",
+        "json_object",
+        "json_schema"
+      ],
       "showStopSign": true,
       "vision": true,
       "toolChoice": true,
@@ -339,4 +275,4 @@
       "type": "stt"
     }
   ]
-}
+}

packages/service/core/app/controller.ts

@@ -86,19 +86,3 @@ export async function findAppAndAllChildren({
 
   return [app, ...childDatasets];
 }
-
-export const getAppBasicInfoByIds = async ({ teamId, ids }: { teamId: string; ids: string[] }) => {
-  const apps = await MongoApp.find(
-    {
-      teamId,
-      _id: { $in: ids }
-    },
-    '_id name avatar'
-  ).lean();
-
-  return apps.map((item) => ({
-    id: item._id,
-    name: item.name,
-    avatar: item.avatar
-  }));
-};

packages/service/core/app/plugin/controller.ts

@@ -1,11 +1,6 @@
 import { FlowNodeTemplateType } from '@fastgpt/global/core/workflow/type/node.d';
 import { FlowNodeTypeEnum, defaultNodeVersion } from '@fastgpt/global/core/workflow/node/constant';
-import {
+import { appData2FlowNodeIO, pluginData2FlowNodeIO } from '@fastgpt/global/core/workflow/utils';
-  appData2FlowNodeIO,
-  pluginData2FlowNodeIO,
-  toolData2FlowNodeIO,
-  toolSetData2FlowNodeIO
-} from '@fastgpt/global/core/workflow/utils';
 import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
 import { FlowNodeTemplateTypeEnum } from '@fastgpt/global/core/workflow/constants';
 import { getHandleConfig } from '@fastgpt/global/core/workflow/template/utils';
@@ -133,41 +128,11 @@ export async function getChildAppPreviewNode({
     (node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput
   );
 
-  const isTool =
-    !!app.workflow.nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.tool) &&
-    app.workflow.nodes.length === 1;
-
-  const isToolSet =
-    !!app.workflow.nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.toolSet) &&
-    app.workflow.nodes.length === 1;
-
-  const { flowNodeType, nodeIOConfig } = (() => {
-    if (isToolSet)
-      return {
-        flowNodeType: FlowNodeTypeEnum.toolSet,
-        nodeIOConfig: toolSetData2FlowNodeIO({ nodes: app.workflow.nodes })
-      };
-    if (isTool)
-      return {
-        flowNodeType: FlowNodeTypeEnum.tool,
-        nodeIOConfig: toolData2FlowNodeIO({ nodes: app.workflow.nodes })
-      };
-    if (isPlugin)
-      return {
-        flowNodeType: FlowNodeTypeEnum.pluginModule,
-        nodeIOConfig: pluginData2FlowNodeIO({ nodes: app.workflow.nodes })
-      };
-    return {
-      flowNodeType: FlowNodeTypeEnum.appModule,
-      nodeIOConfig: appData2FlowNodeIO({ chatConfig: app.workflow.chatConfig })
-    };
-  })();
-
   return {
     id: getNanoid(),
     pluginId: app.id,
     templateType: app.templateType,
-    flowNodeType,
+    flowNodeType: isPlugin ? FlowNodeTypeEnum.pluginModule : FlowNodeTypeEnum.appModule,
     avatar: app.avatar,
     name: app.name,
     intro: app.intro,
@@ -176,13 +141,11 @@ export async function getChildAppPreviewNode({
     showStatus: app.showStatus,
     isTool: true,
     version: app.version,
-    sourceHandle: isToolSet
+    sourceHandle: getHandleConfig(true, true, true, true),
-      ? getHandleConfig(false, false, false, false)
+    targetHandle: getHandleConfig(true, true, true, true),
-      : getHandleConfig(true, true, true, true),
+    ...(isPlugin
-    targetHandle: isToolSet
+      ? pluginData2FlowNodeIO({ nodes: app.workflow.nodes })
-      ? getHandleConfig(false, false, false, false)
+      : appData2FlowNodeIO({ chatConfig: app.workflow.chatConfig }))
-      : getHandleConfig(true, true, true, true),
-    ...nodeIOConfig
   };
 }
 

packages/service/core/chat/saveChat.ts

@@ -16,7 +16,6 @@ import { mergeChatResponseData } from '@fastgpt/global/core/chat/utils';
 import { pushChatLog } from './pushChatLog';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
 import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
-import { extractDeepestInteractive } from '@fastgpt/global/core/workflow/runtime/utils';
 
 type Props = {
   chatId: string;
@@ -210,24 +209,34 @@ export const updateInteractiveChat = async ({
     }
   })();
 
-  let finalInteractive = extractDeepestInteractive(interactiveValue.interactive);
+  if (interactiveValue.interactive.type === 'userSelect') {
-
+    interactiveValue.interactive = {
-  if (finalInteractive.type === 'userSelect') {
+      ...interactiveValue.interactive,
-    finalInteractive.params.userSelectedVal = userInteractiveVal;
+      params: {
+        ...interactiveValue.interactive.params,
+        userSelectedVal: userInteractiveVal
+      }
+    };
   } else if (
-    finalInteractive.type === 'userInput' &&
+    interactiveValue.interactive.type === 'userInput' &&
     typeof parsedUserInteractiveVal === 'object'
   ) {
-    finalInteractive.params.inputForm = finalInteractive.params.inputForm.map((item) => {
+    interactiveValue.interactive = {
-      const itemValue = parsedUserInteractiveVal[item.label];
+      ...interactiveValue.interactive,
-      return itemValue !== undefined
+      params: {
-        ? {
+        ...interactiveValue.interactive.params,
-            ...item,
+        inputForm: interactiveValue.interactive.params.inputForm.map((item) => {
-            value: itemValue
+          const itemValue = parsedUserInteractiveVal[item.label];
-          }
+          return itemValue !== undefined
-        : item;
+            ? {
-    });
+                ...item,
-    finalInteractive.params.submitted = true;
+                value: itemValue
+              }
+            : item;
+        }),
+        submitted: true
+      }
+    };
   }
 
   if (aiResponse.customFeedbacks) {

packages/service/core/chat/utils.ts

@@ -11,7 +11,7 @@ import axios from 'axios';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { i18nT } from '../../../web/i18n/utils';
 import { addLog } from '../../common/system/log';
-import { addEndpointToImageUrl, getImageBase64 } from '../../common/file/image/utils';
+import { getImageBase64 } from '../../common/file/image/utils';
 
 export const filterGPTMessageByMaxContext = async ({
   messages = [],
@@ -87,17 +87,26 @@ export const loadRequestMessages = async ({
   useVision?: boolean;
   origin?: string;
 }) => {
+  const replaceLinkUrl = (text: string) => {
+    const baseURL = process.env.FE_DOMAIN;
+    if (!baseURL) return text;
+    // 匹配 /api/system/img/xxx.xx 的图片链接，并追加 baseURL
+    return text.replace(
+      /(?<!https?:\/\/[^\s]*)(?:\/api\/system\/img\/[^\s.]*\.[^\s]*)/g,
+      (match) => `${baseURL}${match}`
+    );
+  };
   const parseSystemMessage = (
     content: string | ChatCompletionContentPartText[]
   ): string | ChatCompletionContentPartText[] | undefined => {
     if (typeof content === 'string') {
       if (!content) return;
-      return addEndpointToImageUrl(content);
+      return replaceLinkUrl(content);
     }
 
     const arrayContent = content
       .filter((item) => item.text)
-      .map((item) => ({ ...item, text: addEndpointToImageUrl(item.text) }));
+      .map((item) => ({ ...item, text: replaceLinkUrl(item.text) }));
     if (arrayContent.length === 0) return;
     return arrayContent;
   };

packages/service/core/dataset/apiDataset/proApi.ts

@@ -1,25 +0,0 @@
-import { ParentIdType } from '@fastgpt/global/common/parentFolder/type';
-import { FeishuServer, YuqueServer } from '@fastgpt/global/core/dataset/apiDataset';
-
-export enum ProApiDatasetOperationTypeEnum {
-  LIST = 'list',
-  READ = 'read',
-  CONTENT = 'content'
-}
-
-export type ProApiDatasetCommonParams = {
-  feishuServer?: FeishuServer;
-  yuqueServer?: YuqueServer;
-};
-
-export type GetProApiDatasetFileListParams = ProApiDatasetCommonParams & {
-  parentId?: ParentIdType;
-};
-
-export type GetProApiDatasetFileContentParams = ProApiDatasetCommonParams & {
-  apiFileId: string;
-};
-
-export type GetProApiDatasetFilePreviewUrlParams = ProApiDatasetCommonParams & {
-  apiFileId: string;
-};

packages/service/core/dataset/read.ts

@@ -9,6 +9,7 @@ import { readRawContentByFileBuffer } from '../../common/file/read/utils';
 import { parseFileExtensionFromUrl } from '@fastgpt/global/common/string/tools';
 import { APIFileServer, FeishuServer, YuqueServer } from '@fastgpt/global/core/dataset/apiDataset';
 import { useApiDatasetRequest } from './apiDataset/api';
+import { POST } from '../../common/api/plusRequest';
 
 export const readFileRawTextByUrl = async ({
   teamId,
@@ -167,7 +168,11 @@ export const readApiServerFileContent = async ({
   }
 
   if (feishuServer || yuqueServer) {
-    return global.getProApiDatasetFileContent({
+    return POST<{
+      title?: string;
+      rawText: string;
+    }>(`/core/dataset/systemApiDataset`, {
+      type: 'content',
       feishuServer,
       yuqueServer,
       apiFileId

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

@@ -24,6 +24,7 @@ import { MongoDatasetCollectionTags } from '../tag/schema';
 import { readFromSecondary } from '../../../common/mongo/utils';
 import { MongoDatasetDataText } from '../data/dataTextSchema';
 import { ChatItemType } from '@fastgpt/global/core/chat/type';
+import { POST } from '../../../common/api/plusRequest';
 import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import { datasetSearchQueryExtension } from './utils';
 import type { RerankModelItemType } from '@fastgpt/global/core/ai/model.d';
@@ -849,4 +850,5 @@ export type DeepRagSearchProps = SearchDatasetDataProps & {
   [NodeInputKeyEnum.datasetDeepSearchMaxTimes]?: number;
   [NodeInputKeyEnum.datasetDeepSearchBg]?: string;
 };
-export const deepRagSearch = (data: DeepRagSearchProps) => global.deepRagHandler(data);
+export const deepRagSearch = (data: DeepRagSearchProps) =>
+  POST<SearchDatasetDataResponse>('/core/dataset/deepRag', data);

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

@@ -34,44 +34,23 @@ export const addWebsiteSyncJob = (data: WebsiteSyncJobData) => {
 export const getWebsiteSyncDatasetStatus = async (datasetId: string) => {
   const jobId = await websiteSyncQueue.getDeduplicationJobId(datasetId);
   if (!jobId) {
-    return {
+    return DatasetStatusEnum.active;
-      status: DatasetStatusEnum.active,
-      errorMsg: undefined
-    };
   }
   const job = await websiteSyncQueue.getJob(jobId);
   if (!job) {
-    return {
+    return DatasetStatusEnum.active;
-      status: DatasetStatusEnum.active,
-      errorMsg: undefined
-    };
   }
 
   const jobState = await job.getState();
 
-  if (jobState === 'failed' || jobState === 'unknown') {
-    return {
-      status: DatasetStatusEnum.error,
-      errorMsg: job.failedReason
-    };
-  }
   if (['waiting-children', 'waiting'].includes(jobState)) {
-    return {
+    return DatasetStatusEnum.waiting;
-      status: DatasetStatusEnum.waiting,
-      errorMsg: undefined
-    };
   }
   if (jobState === 'active') {
-    return {
+    return DatasetStatusEnum.syncing;
-      status: DatasetStatusEnum.syncing,
-      errorMsg: undefined
-    };
   }
 
-  return {
+  return DatasetStatusEnum.active;
-    status: DatasetStatusEnum.active,
-    errorMsg: undefined
-  };
 };
 
 // Scheduler setting

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

@@ -7,7 +7,7 @@ import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';
 import {
   getWorkflowEntryNodeIds,
-  storeEdges2RuntimeEdges,
+  initWorkflowEdgeStatus,
   storeNodes2RuntimeNodes,
   textAdaptGptResponse
 } from '@fastgpt/global/core/workflow/runtime/utils';
@@ -70,7 +70,7 @@ export const dispatchAppRequest = async (props: Props): Promise<Response> => {
       appData.modules,
       getWorkflowEntryNodeIds(appData.modules)
     ),
-    runtimeEdges: storeEdges2RuntimeEdges(appData.edges),
+    runtimeEdges: initWorkflowEdgeStatus(appData.edges),
     histories: chatHistories,
     query: runtimePrompt2ChatsValue({
       files,

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

@@ -22,16 +22,16 @@ import { formatModelChars2Points } from '../../../../../support/wallet/usage/uti
 import { getHistoryPreview } from '@fastgpt/global/core/chat/utils';
 import { runToolWithFunctionCall } from './functionCall';
 import { runToolWithPromptCall } from './promptCall';
-import { getNanoid, replaceVariable } from '@fastgpt/global/common/string/tools';
+import { replaceVariable } from '@fastgpt/global/common/string/tools';
 import { getMultiplePrompt, Prompt_Tool_Call } from './constants';
 import { filterToolResponseToPreview } from './utils';
 import { InteractiveNodeResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
 import { getFileContentFromLinks, getHistoryFileLinks } from '../../tools/readFiles';
 import { parseUrlToFileType } from '@fastgpt/global/common/file/tools';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
+import { postTextCensor } from '../../../../../common/api/requestPlusApi';
 import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
 import { getDocumentQuotePrompt } from '@fastgpt/global/core/ai/prompt/AIChat';
-import { postTextCensor } from '../../../../chat/postTextCensor';
 
 type Response = DispatchNodeResultType<{
   [NodeOutputKeyEnum.answerText]: string;
@@ -188,8 +188,6 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
     if (toolModel.toolChoice) {
       return runToolWithToolChoice({
         ...props,
-        runtimeNodes,
-        runtimeEdges,
         toolNodes,
         toolModel,
         maxRunToolTimes: 30,
@@ -200,8 +198,6 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
     if (toolModel.functionCall) {
       return runToolWithFunctionCall({
         ...props,
-        runtimeNodes,
-        runtimeEdges,
         toolNodes,
         toolModel,
         messages: adaptMessages,
@@ -230,8 +226,6 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
 
     return runToolWithPromptCall({
       ...props,
-      runtimeNodes,
-      runtimeEdges,
       toolNodes,
       toolModel,
       messages: adaptMessages,

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

@@ -13,6 +13,7 @@ import type {
 } 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';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import type {
   ChatDispatchProps,
@@ -50,7 +51,6 @@ import { getFileContentFromLinks, getHistoryFileLinks } from '../tools/readFiles
 import { parseUrlToFileType } from '@fastgpt/global/common/file/tools';
 import { i18nT } from '../../../../../web/i18n/utils';
 import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
-import { postTextCensor } from '../../../chat/postTextCensor';
 
 export type ChatProps = ModuleDispatchProps<
   AIChatNodeProps & {