V4.9.6 feature (#4565)

* Dashboard submenu (#4545)

* add app submenu (#4452)

* add app submenu

* fix

* width & i18n

* optimize submenu code (#4515)

* optimize submenu code

* fix

* fix

* fix

* fix ts

* perf: dashboard sub menu

* doc

---------

Co-authored-by: heheer <heheer@sealos.io>

* feat: value format test

* doc

* Mcp export (#4555)

* feat: mcp server

* feat: mcp server

* feat: mcp server build

* update doc

* perf: path selector (#4556)

* perf: path selector

* fix: docker file path

* perf: add image endpoint to dataset search (#4557)

* perf: add image endpoint to dataset search

* fix: mcp_server url

* human in loop (#4558)

* Support interactive nodes for loops, and enhance the function of merging nested and loop node history messages. (#4552)

* feat: add LoopInteractive definition

* feat: Support LoopInteractive type and update related logic

* fix: Refactor loop handling logic and improve output value initialization

* feat: Add mergeSignId to dispatchLoop and dispatchRunAppNode responses

* feat: Enhance mergeChatResponseData to recursively merge plugin details and improve response handling

* refactor: Remove redundant comments in mergeChatResponseData for clarity

* perf: loop interactive

* perf: human in loop

---------

Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com>

* mcp server ui

* integrate mcp (#4549)

* integrate mcp

* delete unused code

* fix ts

* bug fix

* fix

* support whole mcp tools

* add try catch

* fix

* fix

* fix ts

* fix test

* fix ts

* fix: interactive in v1 completions

* doc

* fix: router path

* fix mcp integrate (#4563)

* fix mcp integrate

* fix ui

* fix: mcp ux

* feat: mcp call title

* remove repeat loading

* fix mcp tools avatar (#4564)

* fix

* fix avatar

* fix update version

* update doc

* fix: value format

* close server and remove cache

* perf: avatar

---------

Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com>

.github/doc-sync-image.yml

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

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

@@ -1,4 +1,4 @@
-name: Deploy doc image to vercel
+name: Deploy doc image to cf
 
 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-22.04
+    runs-on: ubuntu-24.04
 
     permissions:
       contents: write
@@ -63,18 +63,6 @@ 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-deploy-kubeconfig.yml

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

.github/workflows/docs-preview.yml

@@ -1,7 +1,7 @@
 name: Preview FastGPT docs
 
 on:
-  pull_request:
+  pull_request_target:
     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-22.04
+    runs-on: ubuntu-24.04
 
     # Job outputs
     outputs:
@@ -50,10 +50,6 @@ 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
@@ -65,9 +61,6 @@ 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-20.04
+    runs-on: ubuntu-24.04
     if: github.repository != 'labring/FastGPT'
     steps:
       - name: Checkout

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

@@ -1,12 +1,14 @@
 name: Build FastGPT images
+
 on:
   workflow_dispatch:
   push:
     paths:
-      - 'projects/app/**'
-      - 'packages/**'
+      - "projects/app/**"
+      - "packages/**"
     tags:
-      - 'v*'
+      - "v*"
+
 jobs:
   build-fastgpt-images:
     permissions:
@@ -14,260 +16,156 @@ jobs:
       contents: read
       attestations: write
       id-token: write
-    runs-on: ubuntu-20.04
+    strategy:
+      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@v3
+        uses: actions/checkout@v4
         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
+        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: ${{ runner.os }}-buildx-${{ github.sha }}
+          key: ${{ runner.os }}-${{ matrix.sub_routes.repo }}-buildx-${{ github.sha }}
           restore-keys: |
-            ${{ runner.os }}-buildx-
+            ${{ runner.os }}-${{ matrix.sub_routes.repo }}-buildx-
 
       # login docker
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v2
+        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@v2
+        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@v2
+        uses: docker/login-action@v3
         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:latest" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ 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: Build for ${{ matrix.archs.arch }}
+        id: build
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: projects/app/Dockerfile
+          platforms: linux/${{ 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: Build and publish image for main branch or tag push event
-        env:
-          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+      - name: Export digest
         run: |
-          docker buildx build \
-          -f projects/app/Dockerfile \
-          --platform linux/amd64,linux/arm64 \
-          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          --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:
+          mkdir -p ${{ runner.temp }}/digests/${{ matrix.sub_routes.repo }}
+          digest="${{ steps.build.outputs.digest }}"
+          touch "${{ runner.temp }}/digests/${{ matrix.sub_routes.repo }}/${digest#sha256:}"
+
+      - name: Upload digest
+        uses: actions/upload-artifact@v4
+        with:
+          name: digests-${{ matrix.sub_routes.repo }}-${{ github.sha }}-${{ matrix.archs.arch }}
+          path: ${{ runner.temp }}/digests/${{ matrix.sub_routes.repo }}/*
+          if-no-files-found: error
+          retention-days: 1
+
+  release-fastgpt-images:
     permissions:
       packages: write
       contents: read
       attestations: write
       id-token: write
-    runs-on: ubuntu-20.04
+    needs: build-fastgpt-images
+    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@v2
+        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@v2
+        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@v2
+        uses: docker/login-action@v3
         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:latest" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route: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 }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-          else
-            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route:${{ github.ref_name }}" >> $GITHUB_ENV
-            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sub-route:latest" >> $GITHUB_ENV
-          fi
-
-      - name: Build and publish image for main branch or tag push event
-        env:
-          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
-        run: |
-          docker buildx build \
-          -f projects/app/Dockerfile \
-          --platform linux/amd64,linux/arm64 \
-          --build-arg base_url=/fastai \
-          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          --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
+      - name: Download digests
+        uses: actions/download-artifact@v4
         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
+          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@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-
+        uses: docker/setup-buildx-action@v3
 
-      # 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" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}: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" >> $GITHUB_ENV
+            echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
+            echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:${{ github.ref_name }}" >> $GITHUB_ENV
+            echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/${{ matrix.sub_routes.repo }}:latest" >> $GITHUB_ENV
           fi
 
-      - name: Build and publish image for main branch or tag push event
-        env:
-          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+      - name: Create manifest list and push
+        working-directory: ${{ runner.temp }}/digests
         run: |
-          docker buildx build \
-          -f projects/app/Dockerfile \
-          --platform linux/amd64,linux/arm64 \
-          --build-arg base_url=/gchat \
-          --label "org.opencontainers.image.source=https://github.com/${{ 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 ${Docker_Hub_Latest} \
-          .
+          TAGS="$(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 }}/${{ matrix.sub_routes.repo }}@sha256:%s ' *)
+            sleep 5
+          done

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

@@ -12,26 +12,33 @@ jobs:
       id-token: write
       pull-requests: write
 
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-24.04
+    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 all history for .GitInfo and .Lastmod
+          fetch-depth: 0
           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 }}
+          key: ${{ runner.os }}-buildx-${{ github.sha }}-${{ matrix.image }}
           restore-keys: |
+            ${{ runner.os }}-buildx-${{ github.sha }}-
             ${{ runner.os }}-buildx-
 
       - name: Login to GitHub Container Registry
@@ -41,24 +48,35 @@ jobs:
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+      - name: Set image config
+        id: config
         run: |
-          echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:${{ github.event.pull_request.head.sha }}" >> $GITHUB_ENV
+          if [[ "${{ matrix.image }}" == "fastgpt" ]]; then
+            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 image for PR
-        env:
-          DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
+      - name: Build ${{ matrix.image }} image for PR
         run: |
           docker buildx build \
-          -f projects/app/Dockerfile \
+          -f ${{ steps.config.outputs.DOCKERFILE }} \
           --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=fastgpt-pr image" \
-          --label "org.opencontainers.image.licenses=Apache" \
+          --label "org.opencontainers.image.description=${{ steps.config.outputs.DESCRIPTION }}" \
           --push \
           --cache-from=type=local,src=/tmp/.buildx-cache \
           --cache-to=type=local,dest=/tmp/.buildx-cache \
-          -t ${DOCKER_REPO_TAGGED} \
+          -t ${{ steps.config.outputs.DOCKER_REPO_TAGGED }} \
           .
+
       - uses: actions/github-script@v7
         with:
           github-token: ${{secrets.GITHUB_TOKEN}}
@@ -67,5 +85,5 @@ jobs:
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body: 'Preview Image: `${{ env.DOCKER_REPO_TAGGED }}`'
+              body: 'Preview ${{ matrix.image }} Image: `${{ steps.config.outputs.DOCKER_REPO_TAGGED }}`'
             })

.github/workflows/fastgpt-test.yaml

@@ -15,6 +15,9 @@ 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-20.04
+    runs-on: ubuntu-24.04
     steps:
       - name: Checkout
         uses: actions/checkout@v4

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

@@ -0,0 +1,151 @@
+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

@@ -13,50 +13,115 @@ jobs:
       contents: read
       attestations: write
       id-token: write
-    runs-on: ubuntu-20.04
+    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: 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
+        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: ${{ runner.os }}-buildx-${{ github.sha }}
+          key: ${{ runner.os }}-sandbox-buildx-${{ github.sha }}
           restore-keys: |
-            ${{ runner.os }}-buildx-
+            ${{ runner.os }}-sandbox-buildx-
 
       # login docker
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v2
+        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@v2
+        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@v2
+        uses: docker/login-action@v3
         with:
           username: ${{ secrets.DOCKER_HUB_NAME }}
           password: ${{ secrets.DOCKER_HUB_PASSWORD }}
 
-      # Set tag
+      - name: Build for ${{ matrix.arch }}
+        id: build
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: projects/sandbox/Dockerfile
+          platforms: linux/${{ 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 [[ "${{ github.ref_name }}" == "main" ]]; then
@@ -75,27 +140,12 @@ jobs:
             echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
           fi
 
-      - name: Build and publish image for main branch or tag push event
-        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 }}
+      - name: Create manifest list and push
+        working-directory: ${{ runner.temp }}/digests
         run: |
-          docker buildx build \
-          -f projects/sandbox/Dockerfile \
-          --platform linux/amd64,linux/arm64 \
-          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/fastgpt-sandbox" \
-          --label "org.opencontainers.image.description=fastgpt-sandbox 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 ${Docker_Hub_Latest} \
-          .
+          TAGS="$(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-sandbox@sha256:%s ' *)
+            sleep 5
+          done

.vscode/nextapi.code-snippets

@@ -52,71 +52,17 @@
 		"description": "FastGPT usecontext template"
 	},
 
-	"Jest test template": {
-		"scope": "typescriptreact",
-		"prefix": "jesttest",
+	"Vitest test case template": {
+		"scope": "typescript",
+		"prefix": "template_test",
 		"body": [
-			"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';",
+			"import { describe, it, expect } from 'vitest';",
 			"",
-			"// Import the schema",
-			"import { MongoOutLink } from '@fastgpt/service/support/outLink/schema';",
-			"",
-			"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);",
+			"describe('authType2UsageSource', () => {",
+			"  it('Test description', () => {",
+			"    expect().toBe();",
+			"  });",
 			"});"
-			]
+		]
 	}
 }

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

deploy/docker/docker-compose-milvus.yml

@@ -126,15 +126,15 @@ services:
   # fastgpt
   sandbox:
     container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.3 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.5 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.5 # 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
+    image: ghcr.io/labring/fastgpt:v4.9.5 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.5 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -184,6 +184,8 @@ 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

@@ -0,0 +1,202 @@
+# 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

@@ -0,0 +1,2 @@
+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:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.3 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.5 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.5 # 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
+    image: ghcr.io/labring/fastgpt:v4.9.5 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.5 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -142,6 +142,8 @@ 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:v4.9.3 # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.3 # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.9.5 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.9.5 # 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
+    image: ghcr.io/labring/fastgpt:v4.9.5 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.9.5 # 阿里云
     ports:
       - 3000:3000
     networks:
@@ -123,6 +123,8 @@ 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

@@ -135,6 +135,9 @@ 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
@@ -151,6 +154,13 @@ 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

@@ -34,6 +34,94 @@ 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。
@@ -128,93 +216,7 @@ 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
 
@@ -745,8 +747,6 @@ 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' \
@@ -760,25 +760,8 @@ 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" >}}
@@ -937,151 +920,6 @@ 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=/app/list
+HOME_URL=/dashboard/apps
 ```
 
 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(进行中)'
+title: 'V4.9.4'
 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
 
-### 1. 安装 Redis
+### 2. 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。
@@ -20,10 +20,14 @@ weight: 796
 | --- | --- |  --- |
 | ![](/imgs/sealos-redis1.png) | ![](/imgs/sealos-redis2.png) |  ![](/imgs/sealos-redis3.png) |
 
-### 2. 更新镜像 tag
+### 3. 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
 
-### 3. 执行升级脚本
+### 4. 执行升级脚本
 
 该脚本仅需商业版用户执行。
 
@@ -45,8 +49,9 @@ 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。
-6. AI 对话/工具调用，增加返回模型 finish_reason 字段。
+5. 站点同步支持配置训练参数和增量同步。
+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。
+7. 移动端语音输入交互调整
 
 ## ⚙️ 优化
 
@@ -56,4 +61,6 @@ 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

@@ -0,0 +1,39 @@
+---
+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

@@ -0,0 +1,32 @@
+---
+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

@@ -5,4 +5,207 @@ 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

@@ -7,76 +7,64 @@ toc: true
 weight: -10
 ---
 
-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
+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。
 
 {{% alert icon="🤖 " context="success" %}}
-FastGPT 在线使用：[https://tryfastgpt.ai](https://tryfastgpt.ai)
+快速开始体验
+- 海外版：[https://tryfastgpt.ai](https://tryfastgpt.ai)
+- 国内版：[https://fastgpt.cn](https://fastgpt.cn)
 {{% /alert %}}
 
-|                       |                       |
-| --------------------- | --------------------- |
-| ![](/imgs/intro1.webp) | ![](/imgs/intro2.png) |
-| ![](/imgs/intro3.png) | ![](/imgs/intro4.png) |
+|                       |                                   |
+| --------------------- | --------------------------------- |
+| ![](/imgs/intro/image1.png) | ![](/imgs/intro/image2.png) |
 
-## FastGPT 能力
+# FastGPT 的优势
+## 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
+---
 
-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。
+# FastGPT 能做什么
+## 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)
 
-![](/imgs/ability1.png)
+## 2. 可视化工作流
+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)
 
-### 2. 简单易用的可视化界面
+## 3. 数据智能解析
+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。
 
-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
+![](/imgs/intro/image5.png)
 
+## 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/ability3.png)
+![](/imgs/intro/image6.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。
 
-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/intro/image7.png)
 
-![](/imgs/ability4.png)
+---
 
-## FastGPT 特点
+# 核心特性
 
-1. **项目开源**
+- 开箱即用的知识库系统
+- 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。
+---
 
-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)
+# 知识库核心流程图
 
+![](/imgs/intro/image8.png)

package.json

@@ -12,27 +12,29 @@
     "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 --exclude 'test/cases/spec'",
-    "test:all": "vitest run",
+    "test": "vitest run",
     "test:workflow": "vitest run workflow"
   },
   "devDependencies": {
     "@chakra-ui/cli": "^2.4.1",
-    "@vitest/coverage-v8": "^3.0.2",
+    "@vitest/coverage-v8": "^3.0.9",
     "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": "^3.0.2",
-    "vitest-mongodb": "^1.0.1",
+    "vitest": "^3.0.9",
+    "mongodb-memory-server": "^10.1.4",
     "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

@@ -5,6 +5,7 @@ import { ErrType } from '../errorCode';
 const startCode = 507000;
 export enum CommonErrEnum {
   invalidParams = 'invalidParams',
+  invalidResource = 'invalidResource',
   fileNotFound = 'fileNotFound',
   unAuthFile = 'unAuthFile',
   missingParams = 'missingParams',
@@ -15,6 +16,10 @@ 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

@@ -27,7 +27,8 @@ export enum TeamErrEnum {
   userNotActive = 'userNotActive',
   invitationLinkInvalid = 'invitationLinkInvalid',
   youHaveBeenInTheTeam = 'youHaveBeenInTheTeam',
-  tooManyInvitations = 'tooManyInvitations'
+  tooManyInvitations = 'tooManyInvitations',
+  unPermission = 'unPermission'
 }
 
 const teamErr = [
@@ -35,6 +36,10 @@ 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

@@ -49,6 +49,7 @@ 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

@@ -11,7 +11,9 @@ export enum AppTypeEnum {
   simple = 'simple',
   workflow = 'advanced',
   plugin = 'plugin',
-  httpPlugin = 'httpPlugin'
+  httpPlugin = 'httpPlugin',
+  toolSet = 'toolSet',
+  tool = 'tool'
 }
 
 export const AppFolderTypeList = [AppTypeEnum.folder, AppTypeEnum.httpPlugin];
@@ -53,7 +55,10 @@ 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

@@ -0,0 +1,97 @@
+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

@@ -16,6 +16,16 @@ 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

@@ -140,7 +140,9 @@ 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

@@ -38,7 +38,8 @@ export enum ChatSourceEnum {
   team = 'team',
   feishu = 'feishu',
   official_account = 'official_account',
-  wecom = 'wecom'
+  wecom = 'wecom',
+  mcp = 'mcp'
 }
 
 export const ChatSourceMap = {
@@ -68,6 +69,9 @@ 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

@@ -77,6 +77,13 @@ export const getHistoryPreview = (
   });
 };
 
+export const filterModuleTypeList: any[] = [
+  FlowNodeTypeEnum.pluginModule,
+  FlowNodeTypeEnum.datasetSearchNode,
+  FlowNodeTypeEnum.tools,
+  FlowNodeTypeEnum.pluginOutput
+];
+
 export const filterPublicNodeResponseData = ({
   flowResponses = [],
   responseDetail = false
@@ -87,12 +94,6 @@ 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))
@@ -153,25 +154,55 @@ 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 = (responseDataList: ChatHistoryItemResType[]) => {
-  let lastResponse: ChatHistoryItemResType | undefined = undefined;
-
-  return responseDataList.reduce<ChatHistoryItemResType[]>((acc, curr) => {
-    if (lastResponse && lastResponse.mergeSignId && curr.mergeSignId === lastResponse.mergeSignId) {
-      // 替换 lastResponse
-      const concatResponse: ChatHistoryItemResType = {
-        ...curr,
-        runningTime: +((lastResponse.runningTime || 0) + (curr.runningTime || 0)).toFixed(2),
-        totalPoints: (lastResponse.totalPoints || 0) + (curr.totalPoints || 0),
-        childTotalPoints: (lastResponse.childTotalPoints || 0) + (curr.childTotalPoints || 0),
-        toolCallTokens: (lastResponse.toolCallTokens || 0) + (curr.toolCallTokens || 0),
-        toolDetail: [...(lastResponse.toolDetail || []), ...(curr.toolDetail || [])]
+export const mergeChatResponseData = (
+  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 [...acc.slice(0, -1), concatResponse];
-    } else {
-      lastResponse = curr;
-      return [...acc, curr];
     }
-  }, []);
+    return item;
+  });
+
+  let lastResponse: ChatHistoryItemResType | undefined = undefined;
+  let hasMerged = false;
+
+  const firstPassResult = responseWithMergedPlugins.reduce<ChatHistoryItemResType[]>(
+    (acc, curr) => {
+      if (
+        lastResponse &&
+        lastResponse.mergeSignId &&
+        curr.mergeSignId === lastResponse.mergeSignId
+      ) {
+        const concatResponse: ChatHistoryItemResType = {
+          ...curr,
+          runningTime: +((lastResponse.runningTime || 0) + (curr.runningTime || 0)).toFixed(2),
+          totalPoints: (lastResponse.totalPoints || 0) + (curr.totalPoints || 0),
+          childTotalPoints: (lastResponse.childTotalPoints || 0) + (curr.childTotalPoints || 0),
+          toolCallTokens: (lastResponse.toolCallTokens || 0) + (curr.toolCallTokens || 0),
+          toolDetail: [...(lastResponse.toolDetail || []), ...(curr.toolDetail || [])],
+          loopDetail: [...(lastResponse.loopDetail || []), ...(curr.loopDetail || [])],
+          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

@@ -51,7 +51,8 @@ export const DatasetTypeMap = {
 export enum DatasetStatusEnum {
   active = 'active',
   syncing = 'syncing',
-  waiting = 'waiting'
+  waiting = 'waiting',
+  error = 'error'
 }
 export const DatasetStatusMap = {
   [DatasetStatusEnum.active]: {
@@ -62,6 +63,9 @@ 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

@@ -209,6 +209,7 @@ 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

@@ -7,6 +7,7 @@ export enum FlowNodeInputTypeEnum { // render ui
   numberInput = 'numberInput',
   switch = 'switch', // true/false
   select = 'select',
+  multipleSelect = 'multipleSelect',
 
   // editor
   JSONEditor = 'JSONEditor',
@@ -46,6 +47,9 @@ 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'
   },
@@ -136,7 +140,9 @@ 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>;
@@ -55,12 +55,14 @@ 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 & {
@@ -215,6 +217,8 @@ export type DispatchNodeResponseType = {
   // tool params
   toolParamsResult?: Record<string, any>;
 
+  toolRes?: any;
+
   // abandon
   extensionModel?: string;
   extensionResult?: string;

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

@@ -10,7 +10,23 @@ 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) => {
@@ -28,13 +44,122 @@ 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 = (histories: ChatItemType[]) => {
+export const getLastInteractiveValue = (
+  histories: ChatItemType[]
+): WorkflowInteractiveResponseType | undefined => {
   const lastAIMessage = [...histories].reverse().find((item) => item.obj === ChatRoleEnum.AI);
 
   if (lastAIMessage) {
@@ -45,7 +170,14 @@ export const getLastInteractiveValue = (histories: ChatItemType[]) => {
       lastValue.type !== ChatItemValueTypeEnum.interactive ||
       !lastValue.interactive
     ) {
-      return null;
+      return;
+    }
+
+    if (
+      lastValue.interactive.type === 'childrenInteractive' ||
+      lastValue.interactive.type === 'loopInteractive'
+    ) {
+      return lastValue.interactive;
     }
 
     // Check is user select
@@ -62,38 +194,29 @@ export const getLastInteractiveValue = (histories: ChatItemType[]) => {
     }
   }
 
-  return null;
+  return;
 };
 
-export const initWorkflowEdgeStatus = (
-  edges: StoreEdgeItemType[] | RuntimeEdgeItemType[],
-  histories?: ChatItemType[]
+export const storeEdges2RuntimeEdges = (
+  edges: StoreEdgeItemType[],
+  lastInteractive?: WorkflowInteractiveResponseType
 ): RuntimeEdgeItemType[] => {
-  // If there is a history, use the last interactive value
-  if (histories && histories.length > 0) {
-    const memoryEdges = getLastInteractiveValue(histories)?.memoryEdges;
-
+  if (lastInteractive) {
+    const memoryEdges = lastInteractive.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)[],
-  histories?: ChatItemType[]
+  lastInteractive?: WorkflowInteractiveResponseType
 ) => {
-  // If there is a history, use the last interactive entry node
-  if (histories && histories.length > 0) {
-    const entryNodeIds = getLastInteractiveValue(histories)?.entryNodeIds;
-
+  if (lastInteractive) {
+    const entryNodeIds = lastInteractive.entryNodeIds || [];
     if (Array.isArray(entryNodeIds) && entryNodeIds.length > 0) {
       return entryNodeIds;
     }
@@ -105,7 +228,12 @@ export const getWorkflowEntryNodeIds = (
     FlowNodeTypeEnum.pluginInput
   ];
   return nodes
-    .filter((node) => entryList.includes(node.flowNodeType as any))
+    .filter(
+      (node) =>
+        entryList.includes(node.flowNodeType as any) ||
+        (!nodes.some((item) => entryList.includes(item.flowNodeType as any)) &&
+          node.flowNodeType === FlowNodeTypeEnum.tool)
+    )
     .map((item) => item.nodeId);
 };
 
@@ -303,7 +431,6 @@ export const formatVariableValByType = (val: any, valueType?: WorkflowIOValueTyp
   if (
     [
       WorkflowIOValueTypeEnum.object,
-      WorkflowIOValueTypeEnum.chatHistory,
       WorkflowIOValueTypeEnum.datasetQuote,
       WorkflowIOValueTypeEnum.selectApp,
       WorkflowIOValueTypeEnum.selectDataset
@@ -396,10 +523,10 @@ export const textAdaptGptResponse = ({
 
 /* Update runtimeNode's outputs with interactive data from history */
 export function rewriteNodeOutputByHistories(
-  histories: ChatItemType[],
-  runtimeNodes: RuntimeNodeItemType[]
+  runtimeNodes: RuntimeNodeItemType[],
+  lastInteractive?: InteractiveNodeResponseType
 ) {
-  const interactive = getLastInteractiveValue(histories);
+  const interactive = lastInteractive;
   if (!interactive?.nodeOutputs) {
     return runtimeNodes;
   }

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

@@ -34,6 +34,8 @@ 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,
@@ -84,5 +86,7 @@ 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,
+  valueType: WorkflowIOValueTypeEnum.chatHistory, // Array / Number
   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

@@ -1,6 +1,5 @@
 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';
@@ -9,7 +8,6 @@ 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
@@ -23,6 +21,22 @@ 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;
@@ -62,5 +76,11 @@ 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

@@ -0,0 +1,19 @@
+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

@@ -0,0 +1,19 @@
+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

@@ -311,6 +311,38 @@ 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

@@ -0,0 +1,14 @@
+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

@@ -0,0 +1,14 @@
+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

@@ -0,0 +1,19 @@
+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

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

packages/global/support/permission/controller.ts

@@ -5,15 +5,16 @@ export type PerConstructPros = {
   per?: PermissionValueType;
   isOwner?: boolean;
   permissionList?: PermissionListType;
+  childUpdatePermissionCallback?: () => void;
 };
 
 // the Permission helper class
 export class Permission {
   value: PermissionValueType;
-  isOwner: boolean;
-  hasManagePer: boolean;
-  hasWritePer: boolean;
-  hasReadPer: boolean;
+  isOwner: boolean = false;
+  hasManagePer: boolean = false;
+  hasWritePer: boolean = false;
+  hasReadPer: boolean = false;
   _permissionList: PermissionListType;
 
   constructor(props?: PerConstructPros) {
@@ -24,11 +25,8 @@ export class Permission {
       this.value = per;
     }
 
-    this.isOwner = isOwner;
     this._permissionList = permissionList;
-    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.updatePermissions();
   }
 
   // add permission(s)
@@ -68,10 +66,21 @@ 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<T extends boolean | undefined> = MemberGroupSchemaType & {
-  members: T extends true
+type MemberGroupListItemType<WithMembers extends boolean | undefined> = MemberGroupSchemaType & {
+  members: WithMembers extends true
     ? {
         tmbId: string;
         name: string;
         avatar: string;
       }[]
     : undefined;
-  count: T extends true ? number : undefined;
-  owner?: T extends true
+  count: WithMembers extends true ? number : undefined;
+  owner?: WithMembers extends true
     ? {
         tmbId: string;
         name: string;
         avatar: string;
       }
     : undefined;
-  permission: T extends true ? Permission : undefined;
+  permission: WithMembers extends true ? Permission : undefined;
 };
 
 type GroupMemberItemType = {

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

@@ -1,22 +1,50 @@
 import { PermissionKeyEnum } from '../constant';
 import { PermissionListType } from '../type';
 import { PermissionList } from '../constant';
-export const TeamPermissionList: PermissionListType = {
+import { i18nT } from '../../../../web/i18n/utils';
+export enum TeamPermissionKeyEnum {
+  appCreate = 'appCreate',
+  datasetCreate = 'datasetCreate',
+  apikeyCreate = 'apikeyCreate'
+}
+
+export const TeamPermissionList: PermissionListType<TeamPermissionKeyEnum> = {
   [PermissionKeyEnum.read]: {
     ...PermissionList[PermissionKeyEnum.read],
-    value: 0b100
+    value: 0b000100
   },
   [PermissionKeyEnum.write]: {
     ...PermissionList[PermissionKeyEnum.write],
-    value: 0b010
+    value: 0b000010
   },
   [PermissionKeyEnum.manage]: {
     ...PermissionList[PermissionKeyEnum.manage],
-    value: 0b001
+    value: 0b000001
+  },
+  [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

@@ -1,7 +1,17 @@
 import { PerConstructPros, Permission } from '../controller';
-import { TeamDefaultPermissionVal, TeamPermissionList } from './constant';
+import {
+  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 = {
@@ -12,5 +22,11 @@ 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

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

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

@@ -0,0 +1,29 @@
+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

@@ -69,6 +69,11 @@ 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

@@ -32,3 +32,13 @@ 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>;
-  console.log('Load model======', name);
+  if (process.env.NODE_ENV !== 'test') console.log('Load model======', name);
   addCommonMiddleware(schema);
 
   const model = connectionMongo.model<T>(name, schema);

packages/service/common/system/constants.ts

@@ -1,4 +1,3 @@
 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

@@ -7,6 +7,8 @@ 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();
@@ -15,7 +17,12 @@ 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();
 
@@ -49,26 +56,28 @@ export const insertDatasetDataVector = async ({
   query: string;
   model: EmbeddingModelItemType;
 }) => {
-  const { vectors, tokens } = await getVectorsByText({
-    model,
-    input: query,
-    type: 'db'
-  });
-  const { insertId } = await Vector.insert({
-    ...props,
-    vector: vectors[0]
-  });
+  return retryFn(async () => {
+    const { vectors, tokens } = await getVectorsByText({
+      model,
+      input: query,
+      type: 'db'
+    });
+    const { insertId } = await Vector.insert({
+      ...props,
+      vector: vectors[0]
+    });
 
-  delRedisCache(getChcheKey(props.teamId));
+    onDelCache(props.teamId);
 
-  return {
-    tokens,
-    insertId
-  };
+    return {
+      tokens,
+      insertId
+    };
+  });
 };
 
 export const deleteDatasetDataVector = async (props: DelDatasetVectorCtrlProps) => {
   const result = await Vector.delete(props);
-  delRedisCache(getChcheKey(props.teamId));
+  onDelCache(props.teamId);
   return result;
 };

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

@@ -1,6 +1,30 @@
 {
   "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

@@ -1,6 +1,54 @@
 {
   "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",
@@ -11,7 +59,31 @@
       "showTopP": true,
       "showStopSign": true,
       "vision": false,
-      "toolChoice": 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-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

@@ -1,6 +1,78 @@
 {
   "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",
@@ -9,11 +81,7 @@
       "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,
@@ -37,11 +105,7 @@
       "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,
@@ -275,4 +339,4 @@
       "type": "stt"
     }
   ]
-}
+}

packages/service/core/app/controller.ts

@@ -86,3 +86,19 @@ 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

@@ -1,6 +1,11 @@
 import { FlowNodeTemplateType } from '@fastgpt/global/core/workflow/type/node.d';
 import { FlowNodeTypeEnum, defaultNodeVersion } from '@fastgpt/global/core/workflow/node/constant';
-import { appData2FlowNodeIO, pluginData2FlowNodeIO } from '@fastgpt/global/core/workflow/utils';
+import {
+  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';
@@ -128,11 +133,41 @@ 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: isPlugin ? FlowNodeTypeEnum.pluginModule : FlowNodeTypeEnum.appModule,
+    flowNodeType,
     avatar: app.avatar,
     name: app.name,
     intro: app.intro,
@@ -141,11 +176,13 @@ export async function getChildAppPreviewNode({
     showStatus: app.showStatus,
     isTool: true,
     version: app.version,
-    sourceHandle: getHandleConfig(true, true, true, true),
-    targetHandle: getHandleConfig(true, true, true, true),
-    ...(isPlugin
-      ? pluginData2FlowNodeIO({ nodes: app.workflow.nodes })
-      : appData2FlowNodeIO({ chatConfig: app.workflow.chatConfig }))
+    sourceHandle: isToolSet
+      ? getHandleConfig(false, false, false, false)
+      : getHandleConfig(true, true, true, true),
+    targetHandle: isToolSet
+      ? getHandleConfig(false, false, false, false)
+      : getHandleConfig(true, true, true, true),
+    ...nodeIOConfig
   };
 }
 

packages/service/core/chat/postTextCensor.ts

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

packages/service/core/chat/saveChat.ts

@@ -16,6 +16,7 @@ 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;
@@ -209,34 +210,24 @@ export const updateInteractiveChat = async ({
     }
   })();
 
-  if (interactiveValue.interactive.type === 'userSelect') {
-    interactiveValue.interactive = {
-      ...interactiveValue.interactive,
-      params: {
-        ...interactiveValue.interactive.params,
-        userSelectedVal: userInteractiveVal
-      }
-    };
+  let finalInteractive = extractDeepestInteractive(interactiveValue.interactive);
+
+  if (finalInteractive.type === 'userSelect') {
+    finalInteractive.params.userSelectedVal = userInteractiveVal;
   } else if (
-    interactiveValue.interactive.type === 'userInput' &&
+    finalInteractive.type === 'userInput' &&
     typeof parsedUserInteractiveVal === 'object'
   ) {
-    interactiveValue.interactive = {
-      ...interactiveValue.interactive,
-      params: {
-        ...interactiveValue.interactive.params,
-        inputForm: interactiveValue.interactive.params.inputForm.map((item) => {
-          const itemValue = parsedUserInteractiveVal[item.label];
-          return itemValue !== undefined
-            ? {
-                ...item,
-                value: itemValue
-              }
-            : item;
-        }),
-        submitted: true
-      }
-    };
+    finalInteractive.params.inputForm = finalInteractive.params.inputForm.map((item) => {
+      const itemValue = parsedUserInteractiveVal[item.label];
+      return itemValue !== undefined
+        ? {
+            ...item,
+            value: itemValue
+          }
+        : item;
+    });
+    finalInteractive.params.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 { getImageBase64 } from '../../common/file/image/utils';
+import { addEndpointToImageUrl, getImageBase64 } from '../../common/file/image/utils';
 
 export const filterGPTMessageByMaxContext = async ({
   messages = [],
@@ -87,26 +87,17 @@ 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 replaceLinkUrl(content);
+      return addEndpointToImageUrl(content);
     }
 
     const arrayContent = content
       .filter((item) => item.text)
-      .map((item) => ({ ...item, text: replaceLinkUrl(item.text) }));
+      .map((item) => ({ ...item, text: addEndpointToImageUrl(item.text) }));
     if (arrayContent.length === 0) return;
     return arrayContent;
   };

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

@@ -0,0 +1,25 @@
+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

@@ -9,7 +9,6 @@ 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,
@@ -168,11 +167,7 @@ export const readApiServerFileContent = async ({
   }
 
   if (feishuServer || yuqueServer) {
-    return POST<{
-      title?: string;
-      rawText: string;
-    }>(`/core/dataset/systemApiDataset`, {
-      type: 'content',
+    return global.getProApiDatasetFileContent({
       feishuServer,
       yuqueServer,
       apiFileId

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

@@ -24,7 +24,6 @@ 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';
@@ -850,5 +849,4 @@ export type DeepRagSearchProps = SearchDatasetDataProps & {
   [NodeInputKeyEnum.datasetDeepSearchMaxTimes]?: number;
   [NodeInputKeyEnum.datasetDeepSearchBg]?: string;
 };
-export const deepRagSearch = (data: DeepRagSearchProps) =>
-  POST<SearchDatasetDataResponse>('/core/dataset/deepRag', data);
+export const deepRagSearch = (data: DeepRagSearchProps) => global.deepRagHandler(data);

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

@@ -34,23 +34,44 @@ export const addWebsiteSyncJob = (data: WebsiteSyncJobData) => {
 export const getWebsiteSyncDatasetStatus = async (datasetId: string) => {
   const jobId = await websiteSyncQueue.getDeduplicationJobId(datasetId);
   if (!jobId) {
-    return DatasetStatusEnum.active;
+    return {
+      status: DatasetStatusEnum.active,
+      errorMsg: undefined
+    };
   }
   const job = await websiteSyncQueue.getJob(jobId);
   if (!job) {
-    return DatasetStatusEnum.active;
+    return {
+      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 DatasetStatusEnum.waiting;
+    return {
+      status: DatasetStatusEnum.waiting,
+      errorMsg: undefined
+    };
   }
   if (jobState === 'active') {
-    return DatasetStatusEnum.syncing;
+    return {
+      status: DatasetStatusEnum.syncing,
+      errorMsg: undefined
+    };
   }
 
-  return DatasetStatusEnum.active;
+  return {
+    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,
-  initWorkflowEdgeStatus,
+  storeEdges2RuntimeEdges,
   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: initWorkflowEdgeStatus(appData.edges),
+    runtimeEdges: storeEdges2RuntimeEdges(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 { replaceVariable } from '@fastgpt/global/common/string/tools';
+import { getNanoid, 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;
@@ -188,6 +188,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
     if (toolModel.toolChoice) {
       return runToolWithToolChoice({
         ...props,
+        runtimeNodes,
+        runtimeEdges,
         toolNodes,
         toolModel,
         maxRunToolTimes: 30,
@@ -198,6 +200,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
     if (toolModel.functionCall) {
       return runToolWithFunctionCall({
         ...props,
+        runtimeNodes,
+        runtimeEdges,
         toolNodes,
         toolModel,
         messages: adaptMessages,
@@ -226,6 +230,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
 
     return runToolWithPromptCall({
       ...props,
+      runtimeNodes,
+      runtimeEdges,
       toolNodes,
       toolModel,
       messages: adaptMessages,

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

@@ -13,7 +13,6 @@ 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,
@@ -51,6 +50,7 @@ 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 & {