chore(deps): bump sendgrid to v6.12.5

CVE-2024-23342 (ecdsa) fixed by upgrading sendgrid from 6.12.4 to 6.12.5,
which replaces ecdsa with cryptography. ecdsa dependency removed entirely.

.ee-base-commit

@@ -0,0 +1 @@
+cc72e56cd0cfd60581d98a2a5e2d4d4a41c9436d

.github/workflows/anti-slop.yml

@@ -1,19 +0,0 @@
-name: Anti-Slop PR Check
-
-on:
-  pull_request_target:
-    types: [opened, edited, synchronize]
-
-permissions:
-  pull-requests: write
-  contents: read
-
-jobs:
-  anti-slop:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: peakoss/anti-slop@85daca1880e9e1af197fc06ea03349daf08f4202 # v0.2.1
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          close-pr: false
-          failure-add-pr-labels: "needs-revision"

.github/workflows/api-tests.yml

@@ -14,18 +14,17 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  test:
-    name: API Tests
-    runs-on: ubuntu-latest
+  api-unit:
+    name: API Unit Tests
+    runs-on: depot-ubuntu-24.04
     env:
-      CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+      COVERAGE_FILE: coverage-unit
     defaults:
       run:
         shell: bash
     strategy:
       matrix:
         python-version:
-          - "3.11"
           - "3.12"
 
     steps:
@@ -36,7 +35,7 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           enable-cache: true
           python-version: ${{ matrix.python-version }}
@@ -51,16 +50,62 @@ jobs:
       - name: Run dify config tests
         run: uv run --project api dev/pytest/pytest_config_tests.py
 
+      - name: Run Unit Tests
+        run: uv run --project api bash dev/pytest/pytest_unit_tests.sh
+
+      - name: Upload unit coverage data
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: api-coverage-unit
+          path: coverage-unit
+          retention-days: 1
+
+  api-integration:
+    name: API Integration Tests
+    runs-on: depot-ubuntu-24.04
+    env:
+      COVERAGE_FILE: coverage-integration
+      STORAGE_TYPE: opendal
+      OPENDAL_SCHEME: fs
+      OPENDAL_FS_ROOT: /tmp/dify-storage
+    defaults:
+      run:
+        shell: bash
+    strategy:
+      matrix:
+        python-version:
+          - "3.12"
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - name: Setup UV and Python
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
+        with:
+          enable-cache: true
+          python-version: ${{ matrix.python-version }}
+          cache-dependency-glob: api/uv.lock
+
+      - name: Check UV lockfile
+        run: uv lock --project api --check
+
+      - name: Install dependencies
+        run: uv sync --project api --dev
+
       - name: Set up dotenvs
         run: |
           cp docker/.env.example docker/.env
-          cp docker/middleware.env.example docker/middleware.env
+          cp docker/envs/middleware.env.example docker/middleware.env
 
       - name: Expose Service Ports
         run: sh .github/workflows/expose_service_ports.sh
 
       - name: Set up Sandbox
-        uses: hoverkraft-tech/compose-action@4894d2492015c1774ee5a13a95b1072093087ec3 # v2.5.0
+        uses: hoverkraft-tech/compose-action@d2bee4f07e8ca410d6b196d00f90c12e7d48c33a # v2.6.0
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml
@@ -74,23 +119,91 @@ jobs:
         run: |
           cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
 
-      - name: Run API Tests
-        env:
-          STORAGE_TYPE: opendal
-          OPENDAL_SCHEME: fs
-          OPENDAL_FS_ROOT: /tmp/dify-storage
+      - name: Run Integration Tests
         run: |
           uv run --project api pytest \
             -n auto \
             --timeout "${PYTEST_TIMEOUT:-180}" \
             api/tests/integration_tests/workflow \
             api/tests/integration_tests/tools \
-            api/tests/test_containers_integration_tests \
-            api/tests/unit_tests
+            api/tests/test_containers_integration_tests
+
+      - name: Upload integration coverage data
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: api-coverage-integration
+          path: coverage-integration
+          retention-days: 1
+
+  api-coverage:
+    name: API Coverage
+    runs-on: depot-ubuntu-24.04
+    needs:
+      - api-unit
+      - api-integration
+    env:
+      CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+      COVERAGE_FILE: .coverage
+    defaults:
+      run:
+        shell: bash
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - name: Setup UV and Python
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
+        with:
+          enable-cache: true
+          python-version: "3.12"
+          cache-dependency-glob: api/uv.lock
+
+      - name: Install dependencies
+        run: uv sync --project api --dev
+
+      - name: Download coverage data
+        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+        with:
+          path: coverage-data
+          pattern: api-coverage-*
+          merge-multiple: true
+
+      - name: Combine coverage
+        run: |
+          set -euo pipefail
+
+          echo "### API Coverage" >> "$GITHUB_STEP_SUMMARY"
+          echo "" >> "$GITHUB_STEP_SUMMARY"
+          echo "Merged backend coverage report generated for Codecov project status." >> "$GITHUB_STEP_SUMMARY"
+          echo "" >> "$GITHUB_STEP_SUMMARY"
+
+          unit_coverage="$(find coverage-data -type f -name coverage-unit -print -quit)"
+          integration_coverage="$(find coverage-data -type f -name coverage-integration -print -quit)"
+          : "${unit_coverage:?coverage-unit artifact not found}"
+          : "${integration_coverage:?coverage-integration artifact not found}"
+
+          report_file="$(mktemp)"
+          uv run --project api coverage combine "$unit_coverage" "$integration_coverage"
+          uv run --project api coverage report --show-missing | tee "$report_file"
+          echo "Summary: \`$(tail -n 1 "$report_file")\`" >> "$GITHUB_STEP_SUMMARY"
+          {
+            echo ""
+            echo "<details><summary>Coverage report</summary>"
+            echo ""
+            echo '```'
+            cat "$report_file"
+            echo '```'
+            echo "</details>"
+          } >> "$GITHUB_STEP_SUMMARY"
+          uv run --project api coverage xml -o coverage.xml
 
       - name: Report coverage
-        if: ${{ env.CODECOV_TOKEN != '' && matrix.python-version == '3.12' }}
-        uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
+        if: ${{ env.CODECOV_TOKEN != '' }}
+        uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0
         with:
           files: ./coverage.xml
           disable_search: true

.github/workflows/autofix.yml

@@ -2,6 +2,9 @@ name: autofix.ci
 on:
   pull_request:
     branches: ["main"]
+  merge_group:
+    branches: ["main"]
+    types: [checks_requested]
   push:
     branches: ["main"]
 permissions:
@@ -10,13 +13,19 @@ permissions:
 jobs:
   autofix:
     if: github.repository == 'langgenius/dify'
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     steps:
-      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+      - name: Complete merge group check
+        if: github.event_name == 'merge_group'
+        run: echo "autofix.ci updates pull request branches, not merge group refs."
+
+      - if: github.event_name != 'merge_group'
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
 
       - name: Check Docker Compose inputs
+        if: github.event_name != 'merge_group'
         id: docker-compose-changes
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
         with:
           files: |
             docker/generate_docker_compose
@@ -24,30 +33,39 @@ jobs:
             docker/docker-compose-template.yaml
             docker/docker-compose.yaml
       - name: Check web inputs
+        if: github.event_name != 'merge_group'
         id: web-changes
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
         with:
           files: |
             web/**
+            packages/**
+            package.json
+            pnpm-lock.yaml
+            pnpm-workspace.yaml
+            .nvmrc
       - name: Check api inputs
+        if: github.event_name != 'merge_group'
         id: api-changes
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
         with:
           files: |
             api/**
-      - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
+      - if: github.event_name != 'merge_group'
+        uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
         with:
           python-version: "3.11"
 
-      - uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+      - if: github.event_name != 'merge_group'
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
 
       - name: Generate Docker Compose
-        if: steps.docker-compose-changes.outputs.any_changed == 'true'
+        if: github.event_name != 'merge_group' && steps.docker-compose-changes.outputs.any_changed == 'true'
         run: |
           cd docker
           ./generate_docker_compose
 
-      - if: steps.api-changes.outputs.any_changed == 'true'
+      - if: github.event_name != 'merge_group' && steps.api-changes.outputs.any_changed == 'true'
         run: |
           cd api
           uv sync --dev
@@ -59,13 +77,13 @@ jobs:
           uv run ruff format ..
 
       - name: count migration progress
-        if: steps.api-changes.outputs.any_changed == 'true'
+        if: github.event_name != 'merge_group' && steps.api-changes.outputs.any_changed == 'true'
         run: |
           cd api
           ./cnt_base.sh
 
       - name: ast-grep
-        if: steps.api-changes.outputs.any_changed == 'true'
+        if: github.event_name != 'merge_group' && steps.api-changes.outputs.any_changed == 'true'
         run: |
           # ast-grep exits 1 if no matches are found; allow idempotent runs.
           uvx --from ast-grep-cli ast-grep --pattern 'db.session.query($WHATEVER).filter($HERE)' --rewrite 'db.session.query($WHATEVER).where($HERE)' -l py --update-all || true
@@ -95,13 +113,23 @@ jobs:
           find . -name "*.py.bak" -type f -delete
 
       - name: Setup web environment
-        if: steps.web-changes.outputs.any_changed == 'true'
+        if: github.event_name != 'merge_group'
         uses: ./.github/actions/setup-web
 
-      - name: ESLint autofix
-        if: steps.web-changes.outputs.any_changed == 'true'
+      - name: Generate API docs
+        if: github.event_name != 'merge_group' && steps.api-changes.outputs.any_changed == 'true'
+        run: |
+          cd api
+          uv run dev/generate_swagger_markdown_docs.py --swagger-dir ../packages/contracts/openapi --markdown-dir openapi/markdown --keep-swagger-json
+
+      - name: Generate frontend contracts
+        if: github.event_name != 'merge_group' && steps.api-changes.outputs.any_changed == 'true'
+        run: pnpm --dir packages/contracts gen-api-contract-from-openapi
+
+      - name: ESLint autofix
+        if: github.event_name != 'merge_group' && steps.web-changes.outputs.any_changed == 'true'
         run: |
-          cd web
           vp exec eslint --concurrency=2 --prune-suppressions --quiet || true
 
-      - uses: autofix-ci/action@7a166d7532b277f34e16238930461bf77f9d7ed8 # v1.3.3
+      - if: github.event_name != 'merge_group'
+        uses: autofix-ci/action@c5b2d67aa2274e7b5a18224e8171550871fc7e4a # v1.3.4

.github/workflows/build-push.yml

@@ -24,27 +24,42 @@ env:
 
 jobs:
   build:
-    runs-on: ${{ matrix.platform == 'linux/arm64' && 'arm64_runner' || 'ubuntu-latest' }}
+    runs-on: ${{ matrix.runs_on }}
     if: github.repository == 'langgenius/dify'
+    permissions:
+      contents: read
+      id-token: write
     strategy:
       matrix:
         include:
           - service_name: "build-api-amd64"
             image_name_env: "DIFY_API_IMAGE_NAME"
-            context: "api"
+            artifact_context: "api"
+            build_context: "{{defaultContext}}:api"
+            file: "Dockerfile"
             platform: linux/amd64
+            runs_on: depot-ubuntu-24.04-4
           - service_name: "build-api-arm64"
             image_name_env: "DIFY_API_IMAGE_NAME"
-            context: "api"
+            artifact_context: "api"
+            build_context: "{{defaultContext}}:api"
+            file: "Dockerfile"
             platform: linux/arm64
+            runs_on: depot-ubuntu-24.04-4
           - service_name: "build-web-amd64"
             image_name_env: "DIFY_WEB_IMAGE_NAME"
-            context: "web"
+            artifact_context: "web"
+            build_context: "{{defaultContext}}"
+            file: "web/Dockerfile"
             platform: linux/amd64
+            runs_on: depot-ubuntu-24.04-4
           - service_name: "build-web-arm64"
             image_name_env: "DIFY_WEB_IMAGE_NAME"
-            context: "web"
+            artifact_context: "web"
+            build_context: "{{defaultContext}}"
+            file: "web/Dockerfile"
             platform: linux/arm64
+            runs_on: depot-ubuntu-24.04-4
 
     steps:
       - name: Prepare
@@ -53,16 +68,13 @@ jobs:
           echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
 
       - name: Login to Docker Hub
-        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4.0.0
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
         with:
           username: ${{ env.DOCKERHUB_USER }}
           password: ${{ env.DOCKERHUB_TOKEN }}
 
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@ce360397dd3f832beb865e1373c09c0e9f86d70a # v4.0.0
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4.0.0
+      - name: Set up Depot CLI
+        uses: depot/setup-action@15c09a5f77a0840ad4bce955686522a257853461 # v1.7.1
 
       - name: Extract metadata for Docker
         id: meta
@@ -72,15 +84,15 @@ jobs:
 
       - name: Build Docker image
         id: build
-        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7.0.0
+        uses: depot/build-push-action@5f3b3c2e5a00f0093de47f657aeaefcedff27d18 # v1.17.0
         with:
-          context: "{{defaultContext}}:${{ matrix.context }}"
+          project: ${{ vars.DEPOT_PROJECT_ID }}
+          context: ${{ matrix.build_context }}
+          file: ${{ matrix.file }}
           platforms: ${{ matrix.platform }}
           build-args: COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
           labels: ${{ steps.meta.outputs.labels }}
           outputs: type=image,name=${{ env[matrix.image_name_env] }},push-by-digest=true,name-canonical=true,push=true
-          cache-from: type=gha,scope=${{ matrix.service_name }}
-          cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
 
       - name: Export digest
         env:
@@ -91,16 +103,40 @@ jobs:
           touch "/tmp/digests/${sanitized_digest}"
 
       - name: Upload digest
-        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
         with:
-          name: digests-${{ matrix.context }}-${{ env.PLATFORM_PAIR }}
+          name: digests-${{ matrix.artifact_context }}-${{ env.PLATFORM_PAIR }}
           path: /tmp/digests/*
           if-no-files-found: error
           retention-days: 1
 
+  fork-build-validate:
+    if: github.repository != 'langgenius/dify'
+    runs-on: ubuntu-24.04
+    strategy:
+      matrix:
+        include:
+          - service_name: "validate-api-amd64"
+            build_context: "{{defaultContext}}:api"
+            file: "Dockerfile"
+          - service_name: "validate-web-amd64"
+            build_context: "{{defaultContext}}"
+            file: "web/Dockerfile"
+    steps:
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4.0.0
+
+      - name: Validate Docker image
+        uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
+        with:
+          push: false
+          context: ${{ matrix.build_context }}
+          file: ${{ matrix.file }}
+          platforms: linux/amd64
+
   create-manifest:
     needs: build
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     if: github.repository == 'langgenius/dify'
     strategy:
       matrix:
@@ -120,7 +156,7 @@ jobs:
           merge-multiple: true
 
       - name: Login to Docker Hub
-        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4.0.0
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
         with:
           username: ${{ env.DOCKERHUB_USER }}
           password: ${{ env.DOCKERHUB_TOKEN }}

.github/workflows/db-migration-test.yml

@@ -9,7 +9,7 @@ concurrency:
 
 jobs:
   db-migration-test-postgres:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
 
     steps:
       - name: Checkout code
@@ -19,7 +19,7 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           enable-cache: true
           python-version: "3.12"
@@ -37,10 +37,10 @@ jobs:
       - name: Prepare middleware env
         run: |
           cd docker
-          cp middleware.env.example middleware.env
+          cp envs/middleware.env.example middleware.env
 
       - name: Set up Middlewares
-        uses: hoverkraft-tech/compose-action@4894d2492015c1774ee5a13a95b1072093087ec3 # v2.5.0
+        uses: hoverkraft-tech/compose-action@d2bee4f07e8ca410d6b196d00f90c12e7d48c33a # v2.6.0
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml
@@ -59,7 +59,7 @@ jobs:
         run: uv run --directory api flask upgrade-db
 
   db-migration-test-mysql:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
 
     steps:
       - name: Checkout code
@@ -69,7 +69,7 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           enable-cache: true
           python-version: "3.12"
@@ -87,14 +87,14 @@ jobs:
       - name: Prepare middleware env for MySQL
         run: |
           cd docker
-          cp middleware.env.example middleware.env
+          cp envs/middleware.env.example middleware.env
           sed -i 's/DB_TYPE=postgresql/DB_TYPE=mysql/' middleware.env
           sed -i 's/DB_HOST=db_postgres/DB_HOST=db_mysql/' middleware.env
           sed -i 's/DB_PORT=5432/DB_PORT=3306/' middleware.env
           sed -i 's/DB_USERNAME=postgres/DB_USERNAME=mysql/' middleware.env
 
       - name: Set up Middlewares
-        uses: hoverkraft-tech/compose-action@4894d2492015c1774ee5a13a95b1072093087ec3 # v2.5.0
+        uses: hoverkraft-tech/compose-action@d2bee4f07e8ca410d6b196d00f90c12e7d48c33a # v2.6.0
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml
@@ -110,6 +110,28 @@ jobs:
           sed -i 's/DB_PORT=5432/DB_PORT=3306/' .env
           sed -i 's/DB_USERNAME=postgres/DB_USERNAME=root/' .env
 
+      # hoverkraft-tech/compose-action@v2.6.0 only waits for `docker compose up -d`
+      # to return (container processes started); it does not wait on healthcheck
+      # status. mysql:8.0's first-time init takes 15-30s, so without an explicit
+      # wait the migration runs while InnoDB is still initialising and gets
+      # killed with "Lost connection during query". Poll a real SELECT until it
+      # succeeds.
+      - name: Wait for MySQL to accept queries
+        run: |
+          set +e
+          for i in $(seq 1 60); do
+            if docker run --rm --network host mysql:8.0 \
+                mysql -h 127.0.0.1 -P 3306 -uroot -pdifyai123456 \
+                -e 'SELECT 1' >/dev/null 2>&1; then
+              echo "MySQL ready after ${i}s"
+              exit 0
+            fi
+            sleep 1
+          done
+          echo "MySQL not ready after 60s; dumping container logs:"
+          docker compose -f docker/docker-compose.middleware.yaml --profile mysql logs --tail=200 db_mysql
+          exit 1
+
       - name: Run DB Migration
         env:
           DEBUG: true

.github/workflows/deploy-agent-dev.yml

@@ -13,7 +13,7 @@ on:
 
 jobs:
   deploy:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     if: |
       github.event.workflow_run.conclusion == 'success' &&
       github.event.workflow_run.head_branch == 'deploy/agent-dev'

.github/workflows/deploy-dev.yml

@@ -10,7 +10,7 @@ on:
 
 jobs:
   deploy:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     if: |
       github.event.workflow_run.conclusion == 'success' &&
       github.event.workflow_run.head_branch == 'deploy/dev'

.github/workflows/deploy-enterprise.yml

@@ -13,7 +13,7 @@ on:
 
 jobs:
   deploy:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     if: |
       github.event.workflow_run.conclusion == 'success' &&
       github.event.workflow_run.head_branch == 'deploy/enterprise'

.github/workflows/deploy-hitl.yml

@@ -10,7 +10,7 @@ on:
 
 jobs:
   deploy:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     if: |
       github.event.workflow_run.conclusion == 'success' &&
       github.event.workflow_run.head_branch == 'build/feat/hitl'

.github/workflows/docker-build.yml

@@ -14,35 +14,69 @@ concurrency:
 
 jobs:
   build-docker:
-    runs-on: ubuntu-latest
+    if: github.event.pull_request.head.repo.full_name == github.repository
+    runs-on: ${{ matrix.runs_on }}
+    permissions:
+      contents: read
+      id-token: write
     strategy:
       matrix:
         include:
           - service_name: "api-amd64"
             platform: linux/amd64
-            context: "api"
+            runs_on: depot-ubuntu-24.04-4
+            context: "{{defaultContext}}:api"
+            file: "Dockerfile"
           - service_name: "api-arm64"
             platform: linux/arm64
-            context: "api"
+            runs_on: depot-ubuntu-24.04-4
+            context: "{{defaultContext}}:api"
+            file: "Dockerfile"
           - service_name: "web-amd64"
             platform: linux/amd64
-            context: "web"
+            runs_on: depot-ubuntu-24.04-4
+            context: "{{defaultContext}}"
+            file: "web/Dockerfile"
           - service_name: "web-arm64"
             platform: linux/arm64
-            context: "web"
+            runs_on: depot-ubuntu-24.04-4
+            context: "{{defaultContext}}"
+            file: "web/Dockerfile"
     steps:
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@ce360397dd3f832beb865e1373c09c0e9f86d70a # v4.0.0
+      - name: Set up Depot CLI
+        uses: depot/setup-action@15c09a5f77a0840ad4bce955686522a257853461 # v1.7.1
 
+      - name: Build Docker Image
+        uses: depot/build-push-action@5f3b3c2e5a00f0093de47f657aeaefcedff27d18 # v1.17.0
+        with:
+          project: ${{ vars.DEPOT_PROJECT_ID }}
+          push: false
+          context: ${{ matrix.context }}
+          file: ${{ matrix.file }}
+          platforms: ${{ matrix.platform }}
+
+  build-docker-fork:
+    if: github.event.pull_request.head.repo.full_name != github.repository
+    runs-on: ubuntu-24.04
+    permissions:
+      contents: read
+    strategy:
+      matrix:
+        include:
+          - service_name: "api-amd64"
+            context: "{{defaultContext}}:api"
+            file: "Dockerfile"
+          - service_name: "web-amd64"
+            context: "{{defaultContext}}"
+            file: "web/Dockerfile"
+    steps:
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4.0.0
 
       - name: Build Docker Image
-        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7.0.0
+        uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
         with:
           push: false
-          context: "{{defaultContext}}:${{ matrix.context }}"
-          file: "${{ matrix.file }}"
-          platforms: ${{ matrix.platform }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
+          context: ${{ matrix.context }}
+          file: ${{ matrix.file }}
+          platforms: linux/amd64

.github/workflows/hotfix-cherry-pick.yml

@@ -0,0 +1,49 @@
+name: Hotfix Cherry-Pick Provenance
+
+on:
+  pull_request:
+    branches:
+      - 'hotfix/**'
+      - 'lts/**'
+    types:
+      - opened
+      - edited
+      - reopened
+      - ready_for_review
+      - synchronize
+
+permissions:
+  contents: read
+
+concurrency:
+  group: hotfix-cherry-pick-${{ github.event.pull_request.number || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  check-cherry-pick-provenance:
+    name: Require cherry-pick provenance
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          fetch-depth: 0
+
+      - name: Fetch PR base, PR head, and main
+        env:
+          BASE_REF: ${{ github.base_ref }}
+          PR_NUMBER: ${{ github.event.pull_request.number }}
+        run: |
+          git fetch --no-tags --prune origin \
+            "+refs/heads/main:refs/remotes/origin/main" \
+            "+refs/heads/${BASE_REF}:refs/remotes/origin/${BASE_REF}" \
+            "+refs/pull/${PR_NUMBER}/head:refs/remotes/pull/${PR_NUMBER}/head"
+
+      - name: Load checker from main
+        run: git show origin/main:.github/scripts/check-hotfix-cherry-picks.sh > "$RUNNER_TEMP/check-hotfix-cherry-picks.sh"
+
+      - name: Check PR commits
+        env:
+          BASE_SHA: ${{ github.event.pull_request.base.sha }}
+          HEAD_SHA: ${{ github.event.pull_request.head.sha }}
+          MAIN_REF: origin/main
+        run: bash "$RUNNER_TEMP/check-hotfix-cherry-picks.sh"

.github/workflows/labeler.yml

@@ -7,8 +7,8 @@ jobs:
     permissions:
       contents: read
       pull-requests: write
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     steps:
-      - uses: actions/labeler@634933edcd8ababfe52f92936142cc22ac488b1b # v6.0.1
+      - uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6.1.0
         with:
           sync-labels: true

.github/workflows/main-ci.yml

@@ -3,10 +3,14 @@ name: Main CI Pipeline
 on:
   pull_request:
     branches: ["main"]
+  merge_group:
+    branches: ["main"]
+    types: [checks_requested]
   push:
     branches: ["main"]
 
 permissions:
+  actions: write
   contents: write
   pull-requests: write
   checks: write
@@ -17,12 +21,28 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
+  pre_job:
+    name: Skip Duplicate Checks
+    runs-on: depot-ubuntu-24.04
+    outputs:
+      should_skip: ${{ steps.skip_check.outputs.should_skip || 'false' }}
+    steps:
+      - id: skip_check
+        continue-on-error: true
+        uses: fkirc/skip-duplicate-actions@f75f66ce1886f00957d99748a42c724f4330bdcf # v5.3.1
+        with:
+          cancel_others: 'true'
+          concurrent_skipping: same_content_newer
+
   # Check which paths were changed to determine which tests to run
   check-changes:
     name: Check Changed Files
-    runs-on: ubuntu-latest
+    needs: pre_job
+    if: needs.pre_job.outputs.should_skip != 'true'
+    runs-on: depot-ubuntu-24.04
     outputs:
       api-changed: ${{ steps.changes.outputs.api }}
+      e2e-changed: ${{ steps.changes.outputs.e2e }}
       web-changed: ${{ steps.changes.outputs.web }}
       vdb-changed: ${{ steps.changes.outputs.vdb }}
       migration-changed: ${{ steps.changes.outputs.migration }}
@@ -34,49 +54,375 @@ jobs:
           filters: |
             api:
               - 'api/**'
-              - 'docker/**'
               - '.github/workflows/api-tests.yml'
+              - '.github/workflows/expose_service_ports.sh'
+              - 'docker/.env.example'
+              - 'docker/envs/middleware.env.example'
+              - 'docker/docker-compose.middleware.yaml'
+              - 'docker/docker-compose-template.yaml'
+              - 'docker/generate_docker_compose'
+              - 'docker/ssrf_proxy/**'
+              - 'docker/volumes/sandbox/conf/**'
             web:
               - 'web/**'
+              - 'packages/**'
+              - 'package.json'
+              - 'pnpm-lock.yaml'
+              - 'pnpm-workspace.yaml'
+              - '.nvmrc'
               - '.github/workflows/web-tests.yml'
               - '.github/actions/setup-web/**'
+            e2e:
+              - 'api/**'
+              - 'api/pyproject.toml'
+              - 'api/uv.lock'
+              - 'e2e/**'
+              - 'web/**'
+              - 'packages/**'
+              - 'package.json'
+              - 'pnpm-lock.yaml'
+              - 'pnpm-workspace.yaml'
+              - '.nvmrc'
+              - 'docker/docker-compose.middleware.yaml'
+              - 'docker/envs/middleware.env.example'
+              - '.github/workflows/web-e2e.yml'
+              - '.github/actions/setup-web/**'
             vdb:
               - 'api/core/rag/datasource/**'
-              - 'docker/**'
+              - 'api/tests/integration_tests/vdb/**'
+              - 'api/providers/vdb/*/tests/**'
               - '.github/workflows/vdb-tests.yml'
+              - '.github/workflows/expose_service_ports.sh'
+              - 'docker/.env.example'
+              - 'docker/envs/middleware.env.example'
+              - 'docker/docker-compose.yaml'
+              - 'docker/docker-compose-template.yaml'
+              - 'docker/generate_docker_compose'
+              - 'docker/certbot/**'
+              - 'docker/couchbase-server/**'
+              - 'docker/elasticsearch/**'
+              - 'docker/iris/**'
+              - 'docker/nginx/**'
+              - 'docker/pgvector/**'
+              - 'docker/ssrf_proxy/**'
+              - 'docker/startupscripts/**'
+              - 'docker/tidb/**'
+              - 'docker/volumes/**'
               - 'api/uv.lock'
               - 'api/pyproject.toml'
             migration:
               - 'api/migrations/**'
+              - 'api/.env.example'
               - '.github/workflows/db-migration-test.yml'
+              - '.github/workflows/expose_service_ports.sh'
+              - 'docker/.env.example'
+              - 'docker/envs/middleware.env.example'
+              - 'docker/docker-compose.middleware.yaml'
+              - 'docker/docker-compose-template.yaml'
+              - 'docker/generate_docker_compose'
+              - 'docker/ssrf_proxy/**'
+              - 'docker/volumes/sandbox/conf/**'
 
-  # Run tests in parallel
-  api-tests:
-    name: API Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.api-changed == 'true'
+  # Run tests in parallel while always emitting stable required checks.
+  api-tests-run:
+    name: Run API Tests
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.api-changed == 'true'
     uses: ./.github/workflows/api-tests.yml
     secrets: inherit
 
-  web-tests:
-    name: Web Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.web-changed == 'true'
+  api-tests-skip:
+    name: Skip API Tests
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.api-changed != 'true'
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Report skipped API tests
+        run: echo "No API-related changes detected; skipping API tests."
+
+  api-tests:
+    name: API Tests
+    if: ${{ always() }}
+    needs:
+      - pre_job
+      - check-changes
+      - api-tests-run
+      - api-tests-skip
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Finalize API Tests status
+        env:
+          SHOULD_SKIP_WORKFLOW: ${{ needs.pre_job.outputs.should_skip }}
+          TESTS_CHANGED: ${{ needs.check-changes.outputs.api-changed }}
+          RUN_RESULT: ${{ needs.api-tests-run.result }}
+          SKIP_RESULT: ${{ needs.api-tests-skip.result }}
+        run: |
+          if [[ "$SHOULD_SKIP_WORKFLOW" == 'true' ]]; then
+            echo "API tests were skipped because this workflow run duplicated a successful or newer run."
+            exit 0
+          fi
+
+          if [[ "$TESTS_CHANGED" == 'true' ]]; then
+            if [[ "$RUN_RESULT" == 'success' ]]; then
+              echo "API tests ran successfully."
+              exit 0
+            fi
+
+            echo "API tests were required but finished with result: $RUN_RESULT" >&2
+            exit 1
+          fi
+
+          if [[ "$SKIP_RESULT" == 'success' ]]; then
+            echo "API tests were skipped because no API-related files changed."
+            exit 0
+          fi
+
+          echo "API tests were not required, but the skip job finished with result: $SKIP_RESULT" >&2
+          exit 1
+
+  web-tests-run:
+    name: Run Web Tests
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.web-changed == 'true'
     uses: ./.github/workflows/web-tests.yml
     secrets: inherit
 
+  web-tests-skip:
+    name: Skip Web Tests
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.web-changed != 'true'
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Report skipped web tests
+        run: echo "No web-related changes detected; skipping web tests."
+
+  web-tests:
+    name: Web Tests
+    if: ${{ always() }}
+    needs:
+      - pre_job
+      - check-changes
+      - web-tests-run
+      - web-tests-skip
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Finalize Web Tests status
+        env:
+          SHOULD_SKIP_WORKFLOW: ${{ needs.pre_job.outputs.should_skip }}
+          TESTS_CHANGED: ${{ needs.check-changes.outputs.web-changed }}
+          RUN_RESULT: ${{ needs.web-tests-run.result }}
+          SKIP_RESULT: ${{ needs.web-tests-skip.result }}
+        run: |
+          if [[ "$SHOULD_SKIP_WORKFLOW" == 'true' ]]; then
+            echo "Web tests were skipped because this workflow run duplicated a successful or newer run."
+            exit 0
+          fi
+
+          if [[ "$TESTS_CHANGED" == 'true' ]]; then
+            if [[ "$RUN_RESULT" == 'success' ]]; then
+              echo "Web tests ran successfully."
+              exit 0
+            fi
+
+            echo "Web tests were required but finished with result: $RUN_RESULT" >&2
+            exit 1
+          fi
+
+          if [[ "$SKIP_RESULT" == 'success' ]]; then
+            echo "Web tests were skipped because no web-related files changed."
+            exit 0
+          fi
+
+          echo "Web tests were not required, but the skip job finished with result: $SKIP_RESULT" >&2
+          exit 1
+
+  web-e2e-run:
+    name: Run Web Full-Stack E2E
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.e2e-changed == 'true'
+    uses: ./.github/workflows/web-e2e.yml
+
+  web-e2e-skip:
+    name: Skip Web Full-Stack E2E
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.e2e-changed != 'true'
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Report skipped web full-stack e2e
+        run: echo "No E2E-related changes detected; skipping web full-stack E2E."
+
+  web-e2e:
+    name: Web Full-Stack E2E
+    if: ${{ always() }}
+    needs:
+      - pre_job
+      - check-changes
+      - web-e2e-run
+      - web-e2e-skip
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Finalize Web Full-Stack E2E status
+        env:
+          SHOULD_SKIP_WORKFLOW: ${{ needs.pre_job.outputs.should_skip }}
+          TESTS_CHANGED: ${{ needs.check-changes.outputs.e2e-changed }}
+          RUN_RESULT: ${{ needs.web-e2e-run.result }}
+          SKIP_RESULT: ${{ needs.web-e2e-skip.result }}
+        run: |
+          if [[ "$SHOULD_SKIP_WORKFLOW" == 'true' ]]; then
+            echo "Web full-stack E2E was skipped because this workflow run duplicated a successful or newer run."
+            exit 0
+          fi
+
+          if [[ "$TESTS_CHANGED" == 'true' ]]; then
+            if [[ "$RUN_RESULT" == 'success' ]]; then
+              echo "Web full-stack E2E ran successfully."
+              exit 0
+            fi
+
+            echo "Web full-stack E2E was required but finished with result: $RUN_RESULT" >&2
+            exit 1
+          fi
+
+          if [[ "$SKIP_RESULT" == 'success' ]]; then
+            echo "Web full-stack E2E was skipped because no E2E-related files changed."
+            exit 0
+          fi
+
+          echo "Web full-stack E2E was not required, but the skip job finished with result: $SKIP_RESULT" >&2
+          exit 1
+
   style-check:
     name: Style Check
+    needs: pre_job
+    if: needs.pre_job.outputs.should_skip != 'true'
     uses: ./.github/workflows/style.yml
 
+  vdb-tests-run:
+    name: Run VDB Tests
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.vdb-changed == 'true'
+    uses: ./.github/workflows/vdb-tests.yml
+
+  vdb-tests-skip:
+    name: Skip VDB Tests
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.vdb-changed != 'true'
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Report skipped VDB tests
+        run: echo "No VDB-related changes detected; skipping VDB tests."
+
   vdb-tests:
     name: VDB Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.vdb-changed == 'true'
-    uses: ./.github/workflows/vdb-tests.yml
+    if: ${{ always() }}
+    needs:
+      - pre_job
+      - check-changes
+      - vdb-tests-run
+      - vdb-tests-skip
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Finalize VDB Tests status
+        env:
+          SHOULD_SKIP_WORKFLOW: ${{ needs.pre_job.outputs.should_skip }}
+          TESTS_CHANGED: ${{ needs.check-changes.outputs.vdb-changed }}
+          RUN_RESULT: ${{ needs.vdb-tests-run.result }}
+          SKIP_RESULT: ${{ needs.vdb-tests-skip.result }}
+        run: |
+          if [[ "$SHOULD_SKIP_WORKFLOW" == 'true' ]]; then
+            echo "VDB tests were skipped because this workflow run duplicated a successful or newer run."
+            exit 0
+          fi
+
+          if [[ "$TESTS_CHANGED" == 'true' ]]; then
+            if [[ "$RUN_RESULT" == 'success' ]]; then
+              echo "VDB tests ran successfully."
+              exit 0
+            fi
+
+            echo "VDB tests were required but finished with result: $RUN_RESULT" >&2
+            exit 1
+          fi
+
+          if [[ "$SKIP_RESULT" == 'success' ]]; then
+            echo "VDB tests were skipped because no VDB-related files changed."
+            exit 0
+          fi
+
+          echo "VDB tests were not required, but the skip job finished with result: $SKIP_RESULT" >&2
+          exit 1
+
+  db-migration-test-run:
+    name: Run DB Migration Test
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.migration-changed == 'true'
+    uses: ./.github/workflows/db-migration-test.yml
+
+  db-migration-test-skip:
+    name: Skip DB Migration Test
+    needs:
+      - pre_job
+      - check-changes
+    if: needs.pre_job.outputs.should_skip != 'true' && needs.check-changes.outputs.migration-changed != 'true'
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Report skipped DB migration tests
+        run: echo "No migration-related changes detected; skipping DB migration tests."
 
   db-migration-test:
     name: DB Migration Test
-    needs: check-changes
-    if: needs.check-changes.outputs.migration-changed == 'true'
-    uses: ./.github/workflows/db-migration-test.yml
+    if: ${{ always() }}
+    needs:
+      - pre_job
+      - check-changes
+      - db-migration-test-run
+      - db-migration-test-skip
+    runs-on: depot-ubuntu-24.04
+    steps:
+      - name: Finalize DB Migration Test status
+        env:
+          SHOULD_SKIP_WORKFLOW: ${{ needs.pre_job.outputs.should_skip }}
+          TESTS_CHANGED: ${{ needs.check-changes.outputs.migration-changed }}
+          RUN_RESULT: ${{ needs.db-migration-test-run.result }}
+          SKIP_RESULT: ${{ needs.db-migration-test-skip.result }}
+        run: |
+          if [[ "$SHOULD_SKIP_WORKFLOW" == 'true' ]]; then
+            echo "DB migration tests were skipped because this workflow run duplicated a successful or newer run."
+            exit 0
+          fi
+
+          if [[ "$TESTS_CHANGED" == 'true' ]]; then
+            if [[ "$RUN_RESULT" == 'success' ]]; then
+              echo "DB migration tests ran successfully."
+              exit 0
+            fi
+
+            echo "DB migration tests were required but finished with result: $RUN_RESULT" >&2
+            exit 1
+          fi
+
+          if [[ "$SKIP_RESULT" == 'success' ]]; then
+            echo "DB migration tests were skipped because no migration-related files changed."
+            exit 0
+          fi
+
+          echo "DB migration tests were not required, but the skip job finished with result: $SKIP_RESULT" >&2
+          exit 1

.github/workflows/pyrefly-diff-comment.yml

@@ -12,7 +12,7 @@ permissions: {}
 jobs:
   comment:
     name: Comment PR with pyrefly diff
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     permissions:
       actions: read
       contents: read
@@ -21,7 +21,7 @@ jobs:
     if: ${{ github.event.workflow_run.conclusion == 'success' && github.event.workflow_run.pull_requests[0].head.repo.full_name != github.repository }}
     steps:
       - name: Download pyrefly diff artifact
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -49,7 +49,7 @@ jobs:
         run: unzip -o pyrefly_diff.zip
 
       - name: Post comment
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -76,13 +76,29 @@ jobs:
               diff += '\\n\\n... (truncated) ...';
             }
 
-            const body = diff.trim()
-              ? '### Pyrefly Diff\n<details>\n<summary>base → PR</summary>\n\n```diff\n' + diff + '\n```\n</details>'
-              : '### Pyrefly Diff\nNo changes detected.';
+            if (diff.trim()) {
+              const body = '### Pyrefly Diff\n<details>\n<summary>base → PR</summary>\n\n```diff\n' + diff + '\n```\n</details>';
+              const marker = '### Pyrefly Diff';
+              const { data: comments } = await github.rest.issues.listComments({
+                issue_number: prNumber,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+              });
+              const existing = comments.find((comment) => comment.body.startsWith(marker));
 
-            await github.rest.issues.createComment({
-              issue_number: prNumber,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body,
-            });
+              if (existing) {
+                await github.rest.issues.updateComment({
+                  comment_id: existing.id,
+                  owner: context.repo.owner,
+                  repo: context.repo.repo,
+                  body,
+                });
+              } else {
+                await github.rest.issues.createComment({
+                  issue_number: prNumber,
+                  owner: context.repo.owner,
+                  repo: context.repo.repo,
+                  body,
+                });
+              }
+            }

.github/workflows/pyrefly-diff.yml

@@ -10,7 +10,7 @@ permissions:
 
 jobs:
   pyrefly-diff:
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     permissions:
       contents: read
       issues: write
@@ -22,7 +22,7 @@ jobs:
           fetch-depth: 0
 
       - name: Setup Python & UV
-        uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           enable-cache: true
 
@@ -50,12 +50,23 @@ jobs:
         run: |
           diff -u /tmp/pyrefly_base.txt /tmp/pyrefly_pr.txt > pyrefly_diff.txt || true
 
+      - name: Check if line counts match
+        id: line_count_check
+        run: |
+          base_lines=$(wc -l < /tmp/pyrefly_base.txt)
+          pr_lines=$(wc -l < /tmp/pyrefly_pr.txt)
+          if [ "$base_lines" -eq "$pr_lines" ]; then
+            echo "same=true" >> $GITHUB_OUTPUT
+          else
+            echo "same=false" >> $GITHUB_OUTPUT
+          fi
+
       - name: Save PR number
         run: |
           echo ${{ github.event.pull_request.number }} > pr_number.txt
 
       - name: Upload pyrefly diff
-        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
         with:
           name: pyrefly_diff
           path: |
@@ -63,8 +74,8 @@ jobs:
             pr_number.txt
 
       - name: Comment PR with pyrefly diff
-        if: ${{ github.event.pull_request.head.repo.full_name == github.repository }}
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
+        if: ${{ github.event.pull_request.head.repo.full_name == github.repository && steps.line_count_check.outputs.same == 'false' }}
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -92,9 +103,26 @@ jobs:
                 ].join('\n')
               : '### Pyrefly Diff\nNo changes detected.';
 
-            await github.rest.issues.createComment({
+            const marker = '### Pyrefly Diff';
+            const { data: comments } = await github.rest.issues.listComments({
               issue_number: prNumber,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body,
             });
+            const existing = comments.find((comment) => comment.body.startsWith(marker));
+
+            if (existing) {
+              await github.rest.issues.updateComment({
+                comment_id: existing.id,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body,
+              });
+            } else {
+              await github.rest.issues.createComment({
+                issue_number: prNumber,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body,
+              });
+            }

.github/workflows/pyrefly-type-coverage-comment.yml

@@ -0,0 +1,118 @@
+name: Comment with Pyrefly Type Coverage
+
+on:
+  workflow_run:
+    workflows:
+      - Pyrefly Type Coverage
+    types:
+      - completed
+
+permissions: {}
+
+jobs:
+  comment:
+    name: Comment PR with type coverage
+    runs-on: depot-ubuntu-24.04
+    permissions:
+      actions: read
+      contents: read
+      issues: write
+      pull-requests: write
+    if: ${{ github.event.workflow_run.conclusion == 'success' && github.event.workflow_run.pull_requests[0].head.repo.full_name != github.repository }}
+    steps:
+      - name: Checkout default branch (trusted code)
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+
+      - name: Setup Python & UV
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
+        with:
+          enable-cache: true
+
+      - name: Install dependencies
+        run: uv sync --project api --dev
+
+      - name: Download type coverage artifact
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const fs = require('fs');
+            const artifacts = await github.rest.actions.listWorkflowRunArtifacts({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              run_id: ${{ github.event.workflow_run.id }},
+            });
+            const match = artifacts.data.artifacts.find((artifact) =>
+              artifact.name === 'pyrefly_type_coverage'
+            );
+            if (!match) {
+              throw new Error('pyrefly_type_coverage artifact not found');
+            }
+            const download = await github.rest.actions.downloadArtifact({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              artifact_id: match.id,
+              archive_format: 'zip',
+            });
+            fs.writeFileSync('pyrefly_type_coverage.zip', Buffer.from(download.data));
+
+      - name: Unzip artifact
+        run: unzip -o pyrefly_type_coverage.zip
+
+      - name: Render coverage markdown from structured data
+        id: render
+        run: |
+          comment_body="$(uv run --directory api python libs/pyrefly_type_coverage.py \
+            --base base_report.json \
+            < pr_report.json)"
+
+          {
+            echo "### Pyrefly Type Coverage"
+            echo ""
+            echo "$comment_body"
+          } > /tmp/type_coverage_comment.md
+
+      - name: Post comment
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const fs = require('fs');
+            const body = fs.readFileSync('/tmp/type_coverage_comment.md', { encoding: 'utf8' });
+            let prNumber = null;
+            try {
+              prNumber = parseInt(fs.readFileSync('pr_number.txt', { encoding: 'utf8' }), 10);
+            } catch (err) {
+              const prs = context.payload.workflow_run.pull_requests || [];
+              if (prs.length > 0 && prs[0].number) {
+                prNumber = prs[0].number;
+              }
+            }
+            if (!prNumber) {
+              throw new Error('PR number not found in artifact or workflow_run payload');
+            }
+
+            // Update existing comment if one exists, otherwise create new
+            const { data: comments } = await github.rest.issues.listComments({
+              issue_number: prNumber,
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+            });
+            const marker = '### Pyrefly Type Coverage';
+            const existing = comments.find(c => c.body.startsWith(marker));
+
+            if (existing) {
+              await github.rest.issues.updateComment({
+                comment_id: existing.id,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body,
+              });
+            } else {
+              await github.rest.issues.createComment({
+                issue_number: prNumber,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body,
+              });
+            }

.github/workflows/pyrefly-type-coverage.yml

@@ -0,0 +1,120 @@
+name: Pyrefly Type Coverage
+
+on:
+  pull_request:
+    paths:
+      - 'api/**/*.py'
+
+permissions:
+  contents: read
+
+jobs:
+  pyrefly-type-coverage:
+    runs-on: depot-ubuntu-24.04
+    permissions:
+      contents: read
+      issues: write
+      pull-requests: write
+    steps:
+      - name: Checkout PR branch
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          fetch-depth: 0
+
+      - name: Setup Python & UV
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
+        with:
+          enable-cache: true
+
+      - name: Install dependencies
+        run: uv sync --project api --dev
+
+      - name: Run pyrefly report on PR branch
+        run: |
+          uv run --directory api --dev pyrefly report 2>/dev/null > /tmp/pyrefly_report_pr.tmp && \
+            mv /tmp/pyrefly_report_pr.tmp /tmp/pyrefly_report_pr.json || \
+            echo '{}' > /tmp/pyrefly_report_pr.json
+
+      - name: Save helper script from base branch
+        run: |
+          git show ${{ github.event.pull_request.base.sha }}:api/libs/pyrefly_type_coverage.py > /tmp/pyrefly_type_coverage.py 2>/dev/null \
+            || cp api/libs/pyrefly_type_coverage.py /tmp/pyrefly_type_coverage.py
+
+      - name: Checkout base branch
+        run: git checkout ${{ github.base_ref }}
+
+      - name: Run pyrefly report on base branch
+        run: |
+          uv run --directory api --dev pyrefly report 2>/dev/null > /tmp/pyrefly_report_base.tmp && \
+            mv /tmp/pyrefly_report_base.tmp /tmp/pyrefly_report_base.json || \
+            echo '{}' > /tmp/pyrefly_report_base.json
+
+      - name: Generate coverage comparison
+        id: coverage
+        run: |
+          comment_body="$(uv run --directory api python /tmp/pyrefly_type_coverage.py \
+            --base /tmp/pyrefly_report_base.json \
+            < /tmp/pyrefly_report_pr.json)"
+
+          {
+            echo "### Pyrefly Type Coverage"
+            echo ""
+            echo "$comment_body"
+          } | tee -a "$GITHUB_STEP_SUMMARY" > /tmp/type_coverage_comment.md
+
+          # Save structured data for the fork-PR comment workflow
+          cp /tmp/pyrefly_report_pr.json pr_report.json
+          cp /tmp/pyrefly_report_base.json base_report.json
+
+      - name: Save PR number
+        run: |
+          echo ${{ github.event.pull_request.number }} > pr_number.txt
+
+      - name: Upload type coverage artifact
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: pyrefly_type_coverage
+          path: |
+            pr_report.json
+            base_report.json
+            pr_number.txt
+
+      - name: Comment PR with type coverage
+        if: ${{ github.event.pull_request.head.repo.full_name == github.repository }}
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const fs = require('fs');
+            const marker = '### Pyrefly Type Coverage';
+            let body;
+            try {
+              body = fs.readFileSync('/tmp/type_coverage_comment.md', { encoding: 'utf8' });
+            } catch {
+              body = `${marker}\n\n_Coverage report unavailable._`;
+            }
+            const prNumber = context.payload.pull_request.number;
+
+            // Update existing comment if one exists, otherwise create new
+            const { data: comments } = await github.rest.issues.listComments({
+              issue_number: prNumber,
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+            });
+            const existing = comments.find(c => c.body.startsWith(marker));
+
+            if (existing) {
+              await github.rest.issues.updateComment({
+                comment_id: existing.id,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body,
+              });
+            } else {
+              await github.rest.issues.createComment({
+                issue_number: prNumber,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body,
+              });
+            }

.github/workflows/semantic-pull-request.yml

@@ -7,15 +7,22 @@ on:
       - edited
       - reopened
       - synchronize
+  merge_group:
+    branches: ["main"]
+    types: [checks_requested]
 
 jobs:
   lint:
     name: Validate PR title
     permissions:
       pull-requests: read
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     steps:
+      - name: Complete merge group check
+        if: github.event_name == 'merge_group'
+        run: echo "Semantic PR title validation is handled on pull requests."
       - name: Check title
+        if: github.event_name == 'pull_request'
         uses: amannn/action-semantic-pull-request@48f256284bd46cdaab1048c3721360e808335d50 # v6.1.1
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/stale.yml

@@ -12,7 +12,7 @@ on:
 jobs:
   stale:
 
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     permissions:
       issues: write
       pull-requests: write
@@ -23,8 +23,8 @@ jobs:
           days-before-issue-stale: 15
           days-before-issue-close: 3
           repo-token: ${{ secrets.GITHUB_TOKEN }}
-          stale-issue-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
-          stale-pr-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
+          stale-issue-message: "Closed due to inactivity. If you have any questions, you can reopen it."
+          stale-pr-message: "Closed due to inactivity. If you have any questions, you can reopen it."
           stale-issue-label: 'no-issue-activity'
           stale-pr-label: 'no-pr-activity'
-          any-of-labels: 'duplicate,question,invalid,wontfix,no-issue-activity,no-pr-activity,enhancement,cant-reproduce,help-wanted'
+          any-of-labels: '🌚 invalid,🙋‍♂️ question,wont-fix,no-issue-activity,no-pr-activity,💪 enhancement,🤔 cant-reproduce,🙏 help wanted'

.github/workflows/style.yml

@@ -15,7 +15,7 @@ permissions:
 jobs:
   python-style:
     name: Python Style
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
 
     steps:
       - name: Checkout code
@@ -25,7 +25,7 @@ jobs:
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
         with:
           files: |
             api/**
@@ -33,7 +33,7 @@ jobs:
 
       - name: Setup UV and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           enable-cache: false
           python-version: "3.12"
@@ -49,7 +49,7 @@ jobs:
 
       - name: Run Type Checks
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: make type-check
+        run: make type-check-core
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
@@ -57,7 +57,7 @@ jobs:
 
   web-style:
     name: Web Style
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     defaults:
       run:
         working-directory: ./web
@@ -73,10 +73,17 @@ jobs:
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
         with:
           files: |
             web/**
+            e2e/**
+            sdks/nodejs-client/**
+            packages/**
+            package.json
+            pnpm-lock.yaml
+            pnpm-workspace.yaml
+            .nvmrc
             .github/workflows/style.yml
             .github/actions/setup-web/**
 
@@ -87,26 +94,28 @@ jobs:
       - name: Restore ESLint cache
         if: steps.changed-files.outputs.any_changed == 'true'
         id: eslint-cache-restore
-        uses: actions/cache/restore@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
+        uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
         with:
-          path: web/.eslintcache
-          key: ${{ runner.os }}-web-eslint-${{ hashFiles('web/package.json', 'web/pnpm-lock.yaml', 'web/eslint.config.mjs', 'web/eslint.constants.mjs', 'web/plugins/eslint/**') }}-${{ github.sha }}
+          path: .eslintcache
+          key: ${{ runner.os }}-eslint-${{ hashFiles('pnpm-lock.yaml', 'eslint.config.mjs', 'web/eslint.config.mjs', 'web/eslint.constants.mjs', 'web/plugins/eslint/**') }}-${{ github.sha }}
           restore-keys: |
-            ${{ runner.os }}-web-eslint-${{ hashFiles('web/package.json', 'web/pnpm-lock.yaml', 'web/eslint.config.mjs', 'web/eslint.constants.mjs', 'web/plugins/eslint/**') }}-
+            ${{ runner.os }}-eslint-${{ hashFiles('pnpm-lock.yaml', 'eslint.config.mjs', 'web/eslint.config.mjs', 'web/eslint.constants.mjs', 'web/plugins/eslint/**') }}-
 
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
+        working-directory: .
         run: vp run lint:ci
 
       - name: Web tsslint
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
+        env:
+          NODE_OPTIONS: --max-old-space-size=4096
         run: vp run lint:tss
 
       - name: Web type check
         if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
+        working-directory: .
         run: vp run type-check
 
       - name: Web dead code check
@@ -116,14 +125,14 @@ jobs:
 
       - name: Save ESLint cache
         if: steps.changed-files.outputs.any_changed == 'true' && success() && steps.eslint-cache-restore.outputs.cache-hit != 'true'
-        uses: actions/cache/save@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
+        uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
         with:
-          path: web/.eslintcache
+          path: .eslintcache
           key: ${{ steps.eslint-cache-restore.outputs.cache-primary-key }}
 
   superlinter:
     name: SuperLinter
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
 
     steps:
       - name: Checkout code
@@ -134,7 +143,7 @@ jobs:
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96 # v47.0.6
         with:
           files: |
             **.sh
@@ -145,7 +154,7 @@ jobs:
             .editorconfig
 
       - name: Super-linter
-        uses: super-linter/super-linter/slim@61abc07d755095a68f4987d1c2c3d1d64408f1f9 # v8.5.0
+        uses: super-linter/super-linter/slim@9e863354e3ff62e0727d37183162c4a88873df41 # v8.6.0
         if: steps.changed-files.outputs.any_changed == 'true'
         env:
           BASH_SEVERITY: warning

.github/workflows/tool-test-sdks.yaml

@@ -6,6 +6,9 @@ on:
       - main
     paths:
       - sdks/**
+      - package.json
+      - pnpm-lock.yaml
+      - pnpm-workspace.yaml
 
 concurrency:
   group: sdk-tests-${{ github.head_ref || github.run_id }}
@@ -14,7 +17,7 @@ concurrency:
 jobs:
   build:
     name: unit test for Node.js SDK
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
 
     defaults:
       run:
@@ -26,7 +29,7 @@ jobs:
           persist-credentials: false
 
       - name: Use Node.js
-        uses: actions/setup-node@53b83947a5a98c8d113130e565377fae1a50d02f # v6.3.0
+        uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
         with:
           node-version: 22
           cache: ''

.github/workflows/translate-i18n-claude.yml

@@ -1,26 +1,24 @@
 name: Translate i18n Files with Claude Code
 
 # Note: claude-code-action doesn't support push events directly.
-# Push events are handled by trigger-i18n-sync.yml which sends repository_dispatch.
-# See: https://github.com/langgenius/dify/issues/30743
-
+# Push events are bridged by trigger-i18n-sync.yml via repository_dispatch.
 on:
   repository_dispatch:
     types: [i18n-sync]
   workflow_dispatch:
     inputs:
       files:
-        description: 'Specific files to translate (space-separated, e.g., "app common"). Leave empty for all files.'
+        description: 'Specific files to translate (space-separated, e.g., "app common"). Required for full mode; leave empty in incremental mode to use en-US files changed since HEAD~1.'
         required: false
         type: string
       languages:
-        description: 'Specific languages to translate (space-separated, e.g., "zh-Hans ja-JP"). Leave empty for all supported languages.'
+        description: 'Specific languages to translate (space-separated, e.g., "zh-Hans ja-JP"). Leave empty for all supported target languages except en-US.'
         required: false
         type: string
       mode:
-        description: 'Sync mode: incremental (only changes) or full (re-check all keys)'
+        description: 'Sync mode: incremental (compare with previous en-US revision) or full (sync all keys in scope)'
         required: false
-        default: 'incremental'
+        default: incremental
         type: choice
         options:
           - incremental
@@ -30,11 +28,15 @@ permissions:
   contents: write
   pull-requests: write
 
+concurrency:
+  group: translate-i18n-${{ github.event_name }}-${{ github.ref }}
+  cancel-in-progress: false
+
 jobs:
   translate:
     if: github.repository == 'langgenius/dify'
-    runs-on: ubuntu-latest
-    timeout-minutes: 60
+    runs-on: depot-ubuntu-24.04
+    timeout-minutes: 120
 
     steps:
       - name: Checkout repository
@@ -51,380 +53,293 @@ jobs:
       - name: Setup web environment
         uses: ./.github/actions/setup-web
 
-      - name: Detect changed files and generate diff
-        id: detect_changes
+      - name: Prepare sync context
+        id: context
+        shell: bash
         run: |
-          if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
-            # Manual trigger
-            if [ -n "${{ github.event.inputs.files }}" ]; then
-              echo "CHANGED_FILES=${{ github.event.inputs.files }}" >> $GITHUB_OUTPUT
-            else
-              # Get all JSON files in en-US directory
-              files=$(ls web/i18n/en-US/*.json 2>/dev/null | xargs -n1 basename | sed 's/.json$//' | tr '\n' ' ')
-              echo "CHANGED_FILES=$files" >> $GITHUB_OUTPUT
-            fi
-            echo "TARGET_LANGS=${{ github.event.inputs.languages }}" >> $GITHUB_OUTPUT
-            echo "SYNC_MODE=${{ github.event.inputs.mode || 'incremental' }}" >> $GITHUB_OUTPUT
+          DEFAULT_TARGET_LANGS=$(awk "
+            /value: '/ {
+              value=\$2
+              gsub(/[',]/, \"\", value)
+            }
+            /supported: true/ && value != \"en-US\" {
+              printf \"%s \", value
+            }
+          " web/i18n-config/languages.ts | sed 's/[[:space:]]*$//')
 
-            # For manual trigger with incremental mode, get diff from last commit
-            # For full mode, we'll do a complete check anyway
-            if [ "${{ github.event.inputs.mode }}" == "full" ]; then
-              echo "Full mode: will check all keys" > /tmp/i18n-diff.txt
-              echo "DIFF_AVAILABLE=false" >> $GITHUB_OUTPUT
-            else
-              git diff HEAD~1..HEAD -- 'web/i18n/en-US/*.json' > /tmp/i18n-diff.txt 2>/dev/null || echo "" > /tmp/i18n-diff.txt
-              if [ -s /tmp/i18n-diff.txt ]; then
-                echo "DIFF_AVAILABLE=true" >> $GITHUB_OUTPUT
-              else
-                echo "DIFF_AVAILABLE=false" >> $GITHUB_OUTPUT
-              fi
-            fi
-          elif [ "${{ github.event_name }}" == "repository_dispatch" ]; then
-            # Triggered by push via trigger-i18n-sync.yml workflow
-            # Validate required payload fields
-            if [ -z "${{ github.event.client_payload.changed_files }}" ]; then
-              echo "Error: repository_dispatch payload missing required 'changed_files' field" >&2
-              exit 1
-            fi
-            echo "CHANGED_FILES=${{ github.event.client_payload.changed_files }}" >> $GITHUB_OUTPUT
-            echo "TARGET_LANGS=" >> $GITHUB_OUTPUT
-            echo "SYNC_MODE=${{ github.event.client_payload.sync_mode || 'incremental' }}" >> $GITHUB_OUTPUT
+          generate_changes_json() {
+            node .github/scripts/generate-i18n-changes.mjs
+          }
 
-            # Decode the base64-encoded diff from the trigger workflow
-            if [ -n "${{ github.event.client_payload.diff_base64 }}" ]; then
-              if ! echo "${{ github.event.client_payload.diff_base64 }}" | base64 -d > /tmp/i18n-diff.txt 2>&1; then
-                echo "Warning: Failed to decode base64 diff payload" >&2
-                echo "" > /tmp/i18n-diff.txt
-                echo "DIFF_AVAILABLE=false" >> $GITHUB_OUTPUT
-              elif [ -s /tmp/i18n-diff.txt ]; then
-                echo "DIFF_AVAILABLE=true" >> $GITHUB_OUTPUT
-              else
-                echo "DIFF_AVAILABLE=false" >> $GITHUB_OUTPUT
-              fi
+          if [ "${{ github.event_name }}" = "repository_dispatch" ]; then
+            BASE_SHA="${{ github.event.client_payload.base_sha }}"
+            HEAD_SHA="${{ github.event.client_payload.head_sha }}"
+            CHANGED_FILES="${{ github.event.client_payload.changed_files }}"
+            TARGET_LANGS="$DEFAULT_TARGET_LANGS"
+            SYNC_MODE="${{ github.event.client_payload.sync_mode || 'incremental' }}"
+
+            if [ -n "${{ github.event.client_payload.changes_base64 }}" ]; then
+              printf '%s' '${{ github.event.client_payload.changes_base64 }}' | base64 -d > /tmp/i18n-changes.json
+              CHANGES_AVAILABLE="true"
+              CHANGES_SOURCE="embedded"
+            elif [ -n "$BASE_SHA" ] && [ -n "$CHANGED_FILES" ]; then
+              export BASE_SHA HEAD_SHA CHANGED_FILES
+              generate_changes_json
+              CHANGES_AVAILABLE="true"
+              CHANGES_SOURCE="recomputed"
             else
-              echo "" > /tmp/i18n-diff.txt
-              echo "DIFF_AVAILABLE=false" >> $GITHUB_OUTPUT
+              printf '%s' '{"baseSha":"","headSha":"","files":[],"changes":{}}' > /tmp/i18n-changes.json
+              CHANGES_AVAILABLE="false"
+              CHANGES_SOURCE="unavailable"
             fi
           else
-            echo "Unsupported event type: ${{ github.event_name }}"
-            exit 1
+            BASE_SHA=""
+            HEAD_SHA=$(git rev-parse HEAD)
+            if [ -n "${{ github.event.inputs.languages }}" ]; then
+              TARGET_LANGS="${{ github.event.inputs.languages }}"
+            else
+              TARGET_LANGS="$DEFAULT_TARGET_LANGS"
+            fi
+            SYNC_MODE="${{ github.event.inputs.mode || 'incremental' }}"
+            if [ -n "${{ github.event.inputs.files }}" ]; then
+              CHANGED_FILES="${{ github.event.inputs.files }}"
+            elif [ "$SYNC_MODE" = "incremental" ]; then
+              BASE_SHA=$(git rev-parse HEAD~1 2>/dev/null || true)
+              if [ -n "$BASE_SHA" ]; then
+                CHANGED_FILES=$(git diff --name-only "$BASE_SHA" "$HEAD_SHA" -- 'web/i18n/en-US/*.json' 2>/dev/null | sed -n 's@^.*/@@p' | sed 's/\.json$//' | tr '\n' ' ' | sed 's/[[:space:]]*$//')
+              else
+                CHANGED_FILES=$(find web/i18n/en-US -maxdepth 1 -type f -name '*.json' -print | sed -n 's@^.*/@@p' | sed 's/\.json$//' | sort | tr '\n' ' ' | sed 's/[[:space:]]*$//')
+              fi
+            elif [ "$SYNC_MODE" = "full" ]; then
+              echo "workflow_dispatch full mode requires the files input to stay within CI limits." >&2
+              exit 1
+            else
+              CHANGED_FILES=""
+            fi
+
+            if [ "$SYNC_MODE" = "incremental" ] && [ -n "$CHANGED_FILES" ]; then
+              export BASE_SHA HEAD_SHA CHANGED_FILES
+              generate_changes_json
+              CHANGES_AVAILABLE="true"
+              CHANGES_SOURCE="local"
+            else
+              printf '%s' '{"baseSha":"","headSha":"","files":[],"changes":{}}' > /tmp/i18n-changes.json
+              CHANGES_AVAILABLE="false"
+              CHANGES_SOURCE="unavailable"
+            fi
           fi
 
-          # Truncate diff if too large (keep first 50KB)
-          if [ -f /tmp/i18n-diff.txt ]; then
-            head -c 50000 /tmp/i18n-diff.txt > /tmp/i18n-diff-truncated.txt
-            mv /tmp/i18n-diff-truncated.txt /tmp/i18n-diff.txt
+          FILE_ARGS=""
+          if [ -n "$CHANGED_FILES" ]; then
+            FILE_ARGS="--file $CHANGED_FILES"
           fi
 
-          echo "Detected files: $(cat $GITHUB_OUTPUT | grep CHANGED_FILES || echo 'none')"
+          LANG_ARGS=""
+          if [ -n "$TARGET_LANGS" ]; then
+            LANG_ARGS="--lang $TARGET_LANGS"
+          fi
+
+          {
+            echo "DEFAULT_TARGET_LANGS=$DEFAULT_TARGET_LANGS"
+            echo "BASE_SHA=$BASE_SHA"
+            echo "HEAD_SHA=$HEAD_SHA"
+            echo "CHANGED_FILES=$CHANGED_FILES"
+            echo "TARGET_LANGS=$TARGET_LANGS"
+            echo "SYNC_MODE=$SYNC_MODE"
+            echo "CHANGES_AVAILABLE=$CHANGES_AVAILABLE"
+            echo "CHANGES_SOURCE=$CHANGES_SOURCE"
+            echo "FILE_ARGS=$FILE_ARGS"
+            echo "LANG_ARGS=$LANG_ARGS"
+          } >> "$GITHUB_OUTPUT"
+
+          echo "Files: ${CHANGED_FILES:-<none>}"
+          echo "Languages: ${TARGET_LANGS:-<none>}"
+          echo "Mode: $SYNC_MODE"
 
       - name: Run Claude Code for Translation Sync
-        if: steps.detect_changes.outputs.CHANGED_FILES != ''
-        uses: anthropics/claude-code-action@ff9acae5886d41a99ed4ec14b7dc147d55834722 # v1.0.77
+        if: steps.context.outputs.CHANGED_FILES != ''
+        uses: anthropics/claude-code-action@476e359e6203e73dad705c8b322e333fabbd7416 # v1.0.119
         with:
           anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
           github_token: ${{ secrets.GITHUB_TOKEN }}
-          # Allow github-actions bot to trigger this workflow via repository_dispatch
-          # See: https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
           allowed_bots: 'github-actions[bot]'
+          show_full_output: ${{ github.event_name == 'workflow_dispatch' }}
           prompt: |
-            You are a professional i18n synchronization engineer for the Dify project.
-            Your task is to keep all language translations in sync with the English source (en-US).
+            You are the i18n sync agent for the Dify repository.
+            Your job is to keep translations synchronized with the English source files under `${{ github.workspace }}/web/i18n/en-US/`.
 
-            ## CRITICAL TOOL RESTRICTIONS
-            - Use **Read** tool to read files (NOT cat or bash)
-            - Use **Edit** tool to modify JSON files (NOT node, jq, or bash scripts)
-            - Use **Bash** ONLY for: git commands, gh commands, pnpm commands
-            - Run bash commands ONE BY ONE, never combine with && or ||
-            - NEVER use `$()` command substitution - it's not supported. Split into separate commands instead.
+            Use absolute paths at all times:
+            - Repo root: `${{ github.workspace }}`
+            - Web directory: `${{ github.workspace }}/web`
+            - Language config: `${{ github.workspace }}/web/i18n-config/languages.ts`
 
-            ## WORKING DIRECTORY & ABSOLUTE PATHS
-            Claude Code sandbox working directory may vary. Always use absolute paths:
-            - For pnpm: `pnpm --dir ${{ github.workspace }}/web <command>`
-            - For git: `git -C ${{ github.workspace }} <command>`
-            - For gh: `gh --repo ${{ github.repository }} <command>`
-            - For file paths: `${{ github.workspace }}/web/i18n/`
+            Inputs:
+            - Files in scope: `${{ steps.context.outputs.CHANGED_FILES }}`
+            - Target languages: `${{ steps.context.outputs.TARGET_LANGS }}`
+            - Sync mode: `${{ steps.context.outputs.SYNC_MODE }}`
+            - Base SHA: `${{ steps.context.outputs.BASE_SHA }}`
+            - Head SHA: `${{ steps.context.outputs.HEAD_SHA }}`
+            - Scoped file args: `${{ steps.context.outputs.FILE_ARGS }}`
+            - Scoped language args: `${{ steps.context.outputs.LANG_ARGS }}`
+            - Structured change set available: `${{ steps.context.outputs.CHANGES_AVAILABLE }}`
+            - Structured change set source: `${{ steps.context.outputs.CHANGES_SOURCE }}`
+            - Structured change set file: `/tmp/i18n-changes.json`
 
-            ## EFFICIENCY RULES
-            - **ONE Edit per language file** - batch all key additions into a single Edit
-            - Insert new keys at the beginning of JSON (after `{`), lint:fix will sort them
-            - Translate ALL keys for a language mentally first, then do ONE Edit
-
-            ## Context
-            - Changed/target files: ${{ steps.detect_changes.outputs.CHANGED_FILES }}
-            - Target languages (empty means all supported): ${{ steps.detect_changes.outputs.TARGET_LANGS }}
-            - Sync mode: ${{ steps.detect_changes.outputs.SYNC_MODE }}
-            - Translation files are located in: ${{ github.workspace }}/web/i18n/{locale}/{filename}.json
-            - Language configuration is in: ${{ github.workspace }}/web/i18n-config/languages.ts
-            - Git diff is available: ${{ steps.detect_changes.outputs.DIFF_AVAILABLE }}
-
-            ## CRITICAL DESIGN: Verify First, Then Sync
-
-            You MUST follow this three-phase approach:
-
-            ═══════════════════════════════════════════════════════════════
-            ║  PHASE 1: VERIFY - Analyze and Generate Change Report       ║
-            ═══════════════════════════════════════════════════════════════
-
-            ### Step 1.1: Analyze Git Diff (for incremental mode)
-            Use the Read tool to read `/tmp/i18n-diff.txt` to see the git diff.
-
-            Parse the diff to categorize changes:
-            - Lines with `+` (not `+++`): Added or modified values
-            - Lines with `-` (not `---`): Removed or old values
-            - Identify specific keys for each category:
-              * ADD: Keys that appear only in `+` lines (new keys)
-              * UPDATE: Keys that appear in both `-` and `+` lines (value changed)
-              * DELETE: Keys that appear only in `-` lines (removed keys)
-
-            ### Step 1.2: Read Language Configuration
-            Use the Read tool to read `${{ github.workspace }}/web/i18n-config/languages.ts`.
-            Extract all languages with `supported: true`.
-
-            ### Step 1.3: Run i18n:check for Each Language
-            ```bash
-            pnpm --dir ${{ github.workspace }}/web install --frozen-lockfile
-            ```
-            ```bash
-            pnpm --dir ${{ github.workspace }}/web run i18n:check
-            ```
-
-            This will report:
-            - Missing keys (need to ADD)
-            - Extra keys (need to DELETE)
-
-            ### Step 1.4: Generate Change Report
-
-            Create a structured report identifying:
-            ```
-            ╔══════════════════════════════════════════════════════════════╗
-            ║                    I18N SYNC CHANGE REPORT                   ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ Files to process: [list]                                     ║
-            ║ Languages to sync: [list]                                    ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ ADD (New Keys):                                              ║
-            ║   - [filename].[key]: "English value"                        ║
-            ║   ...                                                        ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ UPDATE (Modified Keys - MUST re-translate):                  ║
-            ║   - [filename].[key]: "Old value" → "New value"              ║
-            ║   ...                                                        ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ DELETE (Extra Keys):                                         ║
-            ║   - [language]/[filename].[key]                              ║
-            ║   ...                                                        ║
-            ╚══════════════════════════════════════════════════════════════╝
-            ```
-
-            **IMPORTANT**: For UPDATE detection, compare git diff to find keys where
-            the English value changed. These MUST be re-translated even if target
-            language already has a translation (it's now stale!).
-
-            ═══════════════════════════════════════════════════════════════
-            ║  PHASE 2: SYNC - Execute Changes Based on Report            ║
-            ═══════════════════════════════════════════════════════════════
-
-            ### Step 2.1: Process ADD Operations (BATCH per language file)
-
-            **CRITICAL WORKFLOW for efficiency:**
-            1. First, translate ALL new keys for ALL languages mentally
-            2. Then, for EACH language file, do ONE Edit operation:
-               - Read the file once
-               - Insert ALL new keys at the beginning (right after the opening `{`)
-               - Don't worry about alphabetical order - lint:fix will sort them later
-
-            Example Edit (adding 3 keys to zh-Hans/app.json):
-            ```
-            old_string: '{\n  "accessControl"'
-            new_string: '{\n  "newKey1": "translation1",\n  "newKey2": "translation2",\n  "newKey3": "translation3",\n  "accessControl"'
-            ```
-
-            **IMPORTANT**:
-            - ONE Edit per language file (not one Edit per key!)
-            - Always use the Edit tool. NEVER use bash scripts, node, or jq.
-
-            ### Step 2.2: Process UPDATE Operations
-
-            **IMPORTANT: Special handling for zh-Hans and ja-JP**
-            If zh-Hans or ja-JP files were ALSO modified in the same push:
-            - Run: `git -C ${{ github.workspace }} diff HEAD~1 --name-only` and check for zh-Hans or ja-JP files
-            - If found, it means someone manually translated them. Apply these rules:
-
-            1. **Missing keys**: Still ADD them (completeness required)
-            2. **Existing translations**: Compare with the NEW English value:
-               - If translation is **completely wrong** or **unrelated** → Update it
-               - If translation is **roughly correct** (captures the meaning) → Keep it, respect manual work
-               - When in doubt, **keep the manual translation**
-
-            Example:
-            - English changed: "Save" → "Save Changes"
-            - Manual translation: "保存更改" → Keep it (correct meaning)
-            - Manual translation: "删除" → Update it (completely wrong)
-
-            For other languages:
-            Use Edit tool to replace the old value with the new translation.
-            You can batch multiple updates in one Edit if they are adjacent.
-
-            ### Step 2.3: Process DELETE Operations
-            For extra keys reported by i18n:check:
-            - Run: `pnpm --dir ${{ github.workspace }}/web run i18n:check --auto-remove`
-            - Or manually remove from target language JSON files
-
-            ## Translation Guidelines
-
-            - PRESERVE all placeholders exactly as-is:
-              - `{{variable}}` - Mustache interpolation
-              - `${variable}` - Template literal
-              - `<tag>content</tag>` - HTML tags
-              - `_one`, `_other` - Pluralization suffixes (these are KEY suffixes, not values)
-
-              **CRITICAL: Variable names and tag names MUST stay in English - NEVER translate them**
-
-              ✅ CORRECT examples:
-              - English: "{{count}} items" → Japanese: "{{count}} 個のアイテム"
-              - English: "{{name}} updated" → Korean: "{{name}} 업데이트됨"
-              - English: "<email>{{email}}</email>" → Chinese: "<email>{{email}}</email>"
-              - English: "<CustomLink>Marketplace</CustomLink>" → Japanese: "<CustomLink>マーケットプレイス</CustomLink>"
-
-              ❌ WRONG examples (NEVER do this - will break the application):
-              - "{{count}}" → "{{カウント}}" ❌ (variable name translated to Japanese)
-              - "{{name}}" → "{{이름}}" ❌ (variable name translated to Korean)
-              - "{{email}}" → "{{邮箱}}" ❌ (variable name translated to Chinese)
-              - "<email>" → "<メール>" ❌ (tag name translated)
-              - "<CustomLink>" → "<自定义链接>" ❌ (component name translated)
-
-            - Use appropriate language register (formal/informal) based on existing translations
-            - Match existing translation style in each language
-            - Technical terms: check existing conventions per language
-            - For CJK languages: no spaces between characters unless necessary
-            - For RTL languages (ar-TN, fa-IR): ensure proper text handling
-
-            ## Output Format Requirements
-            - Alphabetical key ordering (if original file uses it)
-            - 2-space indentation
-            - Trailing newline at end of file
-            - Valid JSON (use proper escaping for special characters)
-
-            ═══════════════════════════════════════════════════════════════
-            ║  PHASE 3: RE-VERIFY - Confirm All Issues Resolved           ║
-            ═══════════════════════════════════════════════════════════════
-
-            ### Step 3.1: Run Lint Fix (IMPORTANT!)
-            ```bash
-            pnpm --dir ${{ github.workspace }}/web lint:fix --quiet -- 'i18n/**/*.json'
-            ```
-            This ensures:
-            - JSON keys are sorted alphabetically (jsonc/sort-keys rule)
-            - Valid i18n keys (dify-i18n/valid-i18n-keys rule)
-            - No extra keys (dify-i18n/no-extra-keys rule)
-
-            ### Step 3.2: Run Final i18n Check
-            ```bash
-            pnpm --dir ${{ github.workspace }}/web run i18n:check
-            ```
-
-            ### Step 3.3: Fix Any Remaining Issues
-            If check reports issues:
-            - Go back to PHASE 2 for unresolved items
-            - Repeat until check passes
-
-            ### Step 3.4: Generate Final Summary
-            ```
-            ╔══════════════════════════════════════════════════════════════╗
-            ║                    SYNC COMPLETED SUMMARY                    ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ Language      │ Added │ Updated │ Deleted │ Status          ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ zh-Hans       │  5    │   2     │    1    │ ✓ Complete      ║
-            ║ ja-JP         │  5    │   2     │    1    │ ✓ Complete      ║
-            ║ ...           │ ...   │  ...    │   ...   │ ...             ║
-            ╠══════════════════════════════════════════════════════════════╣
-            ║ i18n:check    │ PASSED - All keys in sync                   ║
-            ╚══════════════════════════════════════════════════════════════╝
-            ```
-
-            ## Mode-Specific Behavior
-
-            **SYNC_MODE = "incremental"** (default):
-            - Focus on keys identified from git diff
-            - Also check i18n:check output for any missing/extra keys
-            - Efficient for small changes
-
-            **SYNC_MODE = "full"**:
-            - Compare ALL keys between en-US and each language
-            - Run i18n:check to identify all discrepancies
-            - Use for first-time sync or fixing historical issues
-
-            ## Important Notes
-
-            1. Always run i18n:check BEFORE and AFTER making changes
-            2. The check script is the source of truth for missing/extra keys
-            3. For UPDATE scenario: git diff is the source of truth for changed values
-            4. Create a single commit with all translation changes
-            5. If any translation fails, continue with others and report failures
-
-            ═══════════════════════════════════════════════════════════════
-            ║  PHASE 4: COMMIT AND CREATE PR                              ║
-            ═══════════════════════════════════════════════════════════════
-
-            After all translations are complete and verified:
-
-            ### Step 4.1: Check for changes
-            ```bash
-            git -C ${{ github.workspace }} status --porcelain
-            ```
-
-            If there are changes:
-
-            ### Step 4.2: Create a new branch and commit
-            Run these git commands ONE BY ONE (not combined with &&).
-            **IMPORTANT**: Do NOT use `$()` command substitution. Use two separate commands:
-
-            1. First, get the timestamp:
-            ```bash
-            date +%Y%m%d-%H%M%S
-            ```
-            (Note the output, e.g., "20260115-143052")
-
-            2. Then create branch using the timestamp value:
-            ```bash
-            git -C ${{ github.workspace }} checkout -b chore/i18n-sync-20260115-143052
-            ```
-            (Replace "20260115-143052" with the actual timestamp from step 1)
-
-            3. Stage changes:
-            ```bash
-            git -C ${{ github.workspace }} add web/i18n/
-            ```
-
-            4. Commit:
-            ```bash
-            git -C ${{ github.workspace }} commit -m "chore(i18n): sync translations with en-US - Mode: ${{ steps.detect_changes.outputs.SYNC_MODE }}"
-            ```
-
-            5. Push:
-            ```bash
-            git -C ${{ github.workspace }} push origin HEAD
-            ```
-
-            ### Step 4.3: Create Pull Request
-            ```bash
-            gh pr create --repo ${{ github.repository }} --title "chore(i18n): sync translations with en-US" --body "## Summary
-
-            This PR was automatically generated to sync i18n translation files.
-
-            ### Changes
-            - Mode: ${{ steps.detect_changes.outputs.SYNC_MODE }}
-            - Files processed: ${{ steps.detect_changes.outputs.CHANGED_FILES }}
-
-            ### Verification
-            - [x] \`i18n:check\` passed
-            - [x] \`lint:fix\` applied
-
-            🤖 Generated with Claude Code GitHub Action" --base main
-            ```
+            Tool rules:
+            - Use Read for repository files.
+            - Use Edit for JSON updates.
+            - Use Bash only for `vp`.
+            - Do not use Bash for `git`, `gh`, or branch management.
 
+            Required execution plan:
+            1. Resolve target languages.
+               - Use the provided `Target languages` value as the source of truth.
+               - If it is unexpectedly empty, read `${{ github.workspace }}/web/i18n-config/languages.ts` and use every language with `supported: true` except `en-US`.
+            2. Stay strictly in scope.
+               - Only process the files listed in `Files in scope`.
+               - Only process the resolved target languages, never `en-US`.
+               - Do not touch unrelated i18n files.
+               - Do not modify `${{ github.workspace }}/web/i18n/en-US/`.
+            3. Resolve source changes.
+               - If `Structured change set available` is `true`, read `/tmp/i18n-changes.json` and use it as the source of truth for file-level and key-level changes.
+               - For each file entry:
+                 - `added` contains new English keys that need translations.
+                 - `updated` contains stale keys whose English source changed; re-translate using the `after` value.
+                 - `deleted` contains keys that should be removed from locale files.
+                 - `fileDeleted: true` means the English file no longer exists; remove the matching locale file if present.
+               - Read the current English JSON file for any file that still exists so wording, placeholders, and surrounding terminology stay accurate.
+               - If `Structured change set available` is `false`, treat this as a scoped full sync and use the current English files plus scoped checks as the source of truth.
+            4. Run a scoped pre-check before editing:
+               - `vp run dify-web#i18n:check ${{ steps.context.outputs.FILE_ARGS }} ${{ steps.context.outputs.LANG_ARGS }}`
+               - Use this command as the source of truth for missing and extra keys inside the current scope.
+            5. Apply translations.
+               - For every target language and scoped file:
+                 - If `fileDeleted` is `true`, remove the locale file if it exists and skip the rest of that file.
+                 - If the locale file does not exist yet, create it with `Write` and then continue with `Edit` as needed.
+                 - ADD missing keys.
+                 - UPDATE stale translations when the English value changed.
+                 - DELETE removed keys. Prefer `vp run dify-web#i18n:check ${{ steps.context.outputs.FILE_ARGS }} ${{ steps.context.outputs.LANG_ARGS }} --auto-remove` for extra keys so deletions stay in scope.
+               - Preserve placeholders exactly: `{{variable}}`, `${variable}`, HTML tags, component tags, and variable names.
+               - Match the existing terminology and register used by each locale.
+               - Prefer one Edit per file when stable, but prioritize correctness over batching.
+            6. Verify only the edited files.
+               - Run `vp run dify-web#lint:fix --quiet -- <relative edited i18n file paths under web/>`
+               - Run `vp run dify-web#i18n:check ${{ steps.context.outputs.FILE_ARGS }} ${{ steps.context.outputs.LANG_ARGS }}`
+               - If verification fails, fix the remaining problems before continuing.
+            7. Stop after the scoped locale files are updated and verification passes.
+               - Do not create branches, commits, or pull requests.
           claude_args: |
-            --max-turns 150
-            --allowedTools "Read,Write,Edit,Bash(git *),Bash(git:*),Bash(gh *),Bash(gh:*),Bash(pnpm *),Bash(pnpm:*),Bash(date *),Bash(date:*),Glob,Grep"
+            --max-turns 120
+            --allowedTools "Read,Write,Edit,Bash(vp *),Bash(vp:*),Glob,Grep"
+
+      - name: Prepare branch metadata
+        id: pr_meta
+        if: steps.context.outputs.CHANGED_FILES != ''
+        shell: bash
+        run: |
+          if [ -z "$(git -C "${{ github.workspace }}" status --porcelain -- web/i18n/)" ]; then
+            echo "has_changes=false" >> "$GITHUB_OUTPUT"
+            exit 0
+          fi
+
+          SCOPE_HASH=$(printf '%s|%s|%s' "${{ steps.context.outputs.CHANGED_FILES }}" "${{ steps.context.outputs.TARGET_LANGS }}" "${{ steps.context.outputs.SYNC_MODE }}" | sha256sum | cut -c1-8)
+          HEAD_SHORT=$(printf '%s' "${{ steps.context.outputs.HEAD_SHA }}" | cut -c1-12)
+          BRANCH_NAME="chore/i18n-sync-${HEAD_SHORT}-${SCOPE_HASH}"
+
+          {
+            echo "has_changes=true"
+            echo "branch_name=$BRANCH_NAME"
+          } >> "$GITHUB_OUTPUT"
+
+      - name: Commit translation changes
+        if: steps.pr_meta.outputs.has_changes == 'true'
+        shell: bash
+        run: |
+          git -C "${{ github.workspace }}" checkout -B "${{ steps.pr_meta.outputs.branch_name }}"
+          git -C "${{ github.workspace }}" add web/i18n/
+          git -C "${{ github.workspace }}" commit -m "chore(i18n): sync translations with en-US"
+
+      - name: Push translation branch
+        if: steps.pr_meta.outputs.has_changes == 'true'
+        shell: bash
+        run: |
+          if git -C "${{ github.workspace }}" ls-remote --exit-code --heads origin "${{ steps.pr_meta.outputs.branch_name }}" >/dev/null 2>&1; then
+            git -C "${{ github.workspace }}" push --force-with-lease origin "${{ steps.pr_meta.outputs.branch_name }}"
+          else
+            git -C "${{ github.workspace }}" push --set-upstream origin "${{ steps.pr_meta.outputs.branch_name }}"
+          fi
+
+      - name: Create or update translation PR
+        if: steps.pr_meta.outputs.has_changes == 'true'
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          BRANCH_NAME: ${{ steps.pr_meta.outputs.branch_name }}
+          FILES_IN_SCOPE: ${{ steps.context.outputs.CHANGED_FILES }}
+          TARGET_LANGS: ${{ steps.context.outputs.TARGET_LANGS }}
+          SYNC_MODE: ${{ steps.context.outputs.SYNC_MODE }}
+          CHANGES_SOURCE: ${{ steps.context.outputs.CHANGES_SOURCE }}
+          BASE_SHA: ${{ steps.context.outputs.BASE_SHA }}
+          HEAD_SHA: ${{ steps.context.outputs.HEAD_SHA }}
+          REPO_NAME: ${{ github.repository }}
+        shell: bash
+        run: |
+          PR_BODY_FILE=/tmp/i18n-pr-body.md
+          LANG_COUNT=$(printf '%s\n' "$TARGET_LANGS" | wc -w | tr -d ' ')
+          if [ "$LANG_COUNT" = "0" ]; then
+            LANG_COUNT="0"
+          fi
+          export LANG_COUNT
+
+          node <<'NODE' > "$PR_BODY_FILE"
+          const fs = require('node:fs')
+
+          const changesPath = '/tmp/i18n-changes.json'
+          const changes = fs.existsSync(changesPath)
+            ? JSON.parse(fs.readFileSync(changesPath, 'utf8'))
+            : { changes: {} }
+
+          const filesInScope = (process.env.FILES_IN_SCOPE || '').split(/\s+/).filter(Boolean)
+          const lines = [
+            '## Summary',
+            '',
+            `- **Files synced**: \`${process.env.FILES_IN_SCOPE || '<none>'}\``,
+            `- **Languages updated**: ${process.env.TARGET_LANGS || '<none>'} (${process.env.LANG_COUNT} languages)`,
+            `- **Sync mode**: ${process.env.SYNC_MODE}${process.env.BASE_SHA ? ` (base: \`${process.env.BASE_SHA.slice(0, 10)}\`, head: \`${process.env.HEAD_SHA.slice(0, 10)}\`)` : ` (head: \`${process.env.HEAD_SHA.slice(0, 10)}\`)`}`,
+            '',
+            '### Key changes',
+          ]
+
+          for (const fileName of filesInScope) {
+            const fileChange = changes.changes?.[fileName] || { added: {}, updated: {}, deleted: [], fileDeleted: false }
+            const addedKeys = Object.keys(fileChange.added || {})
+            const updatedKeys = Object.keys(fileChange.updated || {})
+            const deletedKeys = fileChange.deleted || []
+            lines.push(`- \`${fileName}\`: +${addedKeys.length} / ~${updatedKeys.length} / -${deletedKeys.length}${fileChange.fileDeleted ? ' (file deleted in en-US)' : ''}`)
+          }
+
+          lines.push(
+            '',
+            '## Verification',
+            '',
+            `- \`vp run dify-web#i18n:check --file ${process.env.FILES_IN_SCOPE} --lang ${process.env.TARGET_LANGS}\``,
+            `- \`vp run dify-web#lint:fix --quiet -- <edited i18n files under web/>\``,
+            '',
+            '## Notes',
+            '',
+            '- This PR was generated from structured en-US key changes produced by `trigger-i18n-sync.yml`.',
+            `- Structured change source: ${process.env.CHANGES_SOURCE || 'unknown'}.`,
+            '- Branch name is deterministic for the head SHA and scope, so reruns update the same PR instead of opening duplicates.',
+            '',
+            '🤖 Generated with [Claude Code](https://claude.com/claude-code)'
+          )
+
+          process.stdout.write(lines.join('\n'))
+          NODE
+
+          EXISTING_PR_NUMBER=$(gh pr list --repo "$REPO_NAME" --head "$BRANCH_NAME" --state open --json number --jq '.[0].number')
+
+          if [ -n "$EXISTING_PR_NUMBER" ] && [ "$EXISTING_PR_NUMBER" != "null" ]; then
+            gh pr edit "$EXISTING_PR_NUMBER" --repo "$REPO_NAME" --title "chore(i18n): sync translations with en-US" --body-file "$PR_BODY_FILE"
+          else
+            gh pr create --repo "$REPO_NAME" --head "$BRANCH_NAME" --base main --title "chore(i18n): sync translations with en-US" --body-file "$PR_BODY_FILE"
+          fi

.github/workflows/trigger-i18n-sync.yml

@@ -1,9 +1,5 @@
 name: Trigger i18n Sync on Push
 
-# This workflow bridges the push event to repository_dispatch
-# because claude-code-action doesn't support push events directly.
-# See: https://github.com/langgenius/dify/issues/30743
-
 on:
   push:
     branches: [main]
@@ -13,10 +9,14 @@ on:
 permissions:
   contents: write
 
+concurrency:
+  group: trigger-i18n-sync-${{ github.ref }}
+  cancel-in-progress: true
+
 jobs:
   trigger:
     if: github.repository == 'langgenius/dify'
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04
     timeout-minutes: 5
 
     steps:
@@ -25,42 +25,66 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: Detect changed files and generate diff
+      - name: Detect changed files and build structured change set
         id: detect
+        shell: bash
         run: |
-          BEFORE_SHA="${{ github.event.before }}"
-          # Handle edge case: force push may have null/zero SHA
-          if [ -z "$BEFORE_SHA" ] || [ "$BEFORE_SHA" = "0000000000000000000000000000000000000000" ]; then
-            BEFORE_SHA="HEAD~1"
+          BASE_SHA="${{ github.event.before }}"
+          if [ -z "$BASE_SHA" ] || [ "$BASE_SHA" = "0000000000000000000000000000000000000000" ]; then
+            BASE_SHA=$(git rev-parse HEAD~1 2>/dev/null || true)
           fi
+          HEAD_SHA="${{ github.sha }}"
 
-          # Detect changed i18n files
-          changed=$(git diff --name-only "$BEFORE_SHA" "${{ github.sha }}" -- 'web/i18n/en-US/*.json' 2>/dev/null | xargs -n1 basename 2>/dev/null | sed 's/.json$//' | tr '\n' ' ' || echo "")
-          echo "changed_files=$changed" >> $GITHUB_OUTPUT
-
-          # Generate diff for context
-          git diff "$BEFORE_SHA" "${{ github.sha }}" -- 'web/i18n/en-US/*.json' > /tmp/i18n-diff.txt 2>/dev/null || echo "" > /tmp/i18n-diff.txt
-
-          # Truncate if too large (keep first 50KB to match receiving workflow)
-          head -c 50000 /tmp/i18n-diff.txt > /tmp/i18n-diff-truncated.txt
-          mv /tmp/i18n-diff-truncated.txt /tmp/i18n-diff.txt
-
-          # Base64 encode the diff for safe JSON transport (portable, single-line)
-          diff_base64=$(base64 < /tmp/i18n-diff.txt | tr -d '\n')
-          echo "diff_base64=$diff_base64" >> $GITHUB_OUTPUT
-
-          if [ -n "$changed" ]; then
-            echo "has_changes=true" >> $GITHUB_OUTPUT
-            echo "Detected changed files: $changed"
+          if [ -n "$BASE_SHA" ]; then
+            CHANGED_FILES=$(git diff --name-only "$BASE_SHA" "$HEAD_SHA" -- 'web/i18n/en-US/*.json' 2>/dev/null | sed -n 's@^.*/@@p' | sed 's/\.json$//' | tr '\n' ' ' | sed 's/[[:space:]]*$//')
           else
-            echo "has_changes=false" >> $GITHUB_OUTPUT
-            echo "No i18n changes detected"
+            CHANGED_FILES=$(find web/i18n/en-US -maxdepth 1 -type f -name '*.json' -print | sed -n 's@^.*/@@p' | sed 's/\.json$//' | sort | tr '\n' ' ' | sed 's/[[:space:]]*$//')
           fi
 
+          export BASE_SHA HEAD_SHA CHANGED_FILES
+          node .github/scripts/generate-i18n-changes.mjs
+
+          if [ -n "$CHANGED_FILES" ]; then
+            echo "has_changes=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "has_changes=false" >> "$GITHUB_OUTPUT"
+          fi
+
+          echo "base_sha=$BASE_SHA" >> "$GITHUB_OUTPUT"
+          echo "head_sha=$HEAD_SHA" >> "$GITHUB_OUTPUT"
+          echo "changed_files=$CHANGED_FILES" >> "$GITHUB_OUTPUT"
+
       - name: Trigger i18n sync workflow
         if: steps.detect.outputs.has_changes == 'true'
-        uses: peter-evans/repository-dispatch@28959ce8df70de7be546dd1250a005dd32156697 # v4.0.1
+        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        env:
+          BASE_SHA: ${{ steps.detect.outputs.base_sha }}
+          HEAD_SHA: ${{ steps.detect.outputs.head_sha }}
+          CHANGED_FILES: ${{ steps.detect.outputs.changed_files }}
         with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          event-type: i18n-sync
-          client-payload: '{"changed_files": "${{ steps.detect.outputs.changed_files }}", "diff_base64": "${{ steps.detect.outputs.diff_base64 }}", "sync_mode": "incremental", "trigger_sha": "${{ github.sha }}"}'
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const fs = require('fs')
+
+            const changesJson = fs.readFileSync('/tmp/i18n-changes.json', 'utf8')
+            const changesBase64 = Buffer.from(changesJson).toString('base64')
+            const maxEmbeddedChangesChars = 48000
+            const changesEmbedded = changesBase64.length <= maxEmbeddedChangesChars
+
+            if (!changesEmbedded) {
+              console.log(`Structured change set too large to embed safely (${changesBase64.length} chars). Downstream workflow will regenerate it from git history.`)
+            }
+
+            await github.rest.repos.createDispatchEvent({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              event_type: 'i18n-sync',
+              client_payload: {
+                changed_files: process.env.CHANGED_FILES,
+                changes_base64: changesEmbedded ? changesBase64 : '',
+                changes_embedded: changesEmbedded,
+                sync_mode: 'incremental',
+                base_sha: process.env.BASE_SHA,
+                head_sha: process.env.HEAD_SHA,
+              },
+            })

.github/workflows/vdb-tests-full.yml

@@ -0,0 +1,95 @@
+name: Run Full VDB Tests
+
+on:
+  schedule:
+    - cron: '0 3 * * 1'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: vdb-tests-full-${{ github.ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    name: Full VDB Tests
+    if: github.repository == 'langgenius/dify'
+    runs-on: depot-ubuntu-24.04
+    strategy:
+      matrix:
+        python-version:
+          - "3.12"
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          persist-credentials: false
+
+      - name: Free Disk Space
+        uses: endersonmenezes/free-disk-space@7901478139cff6e9d44df5972fd8ab8fcade4db1 # v3.2.2
+        with:
+          remove_dotnet: true
+          remove_haskell: true
+          remove_tool_cache: true
+
+      - name: Setup UV and Python
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
+        with:
+          enable-cache: true
+          python-version: ${{ matrix.python-version }}
+          cache-dependency-glob: api/uv.lock
+
+      - name: Check UV lockfile
+        run: uv lock --project api --check
+
+      - name: Install dependencies
+        run: uv sync --project api --dev
+
+      - name: Set up dotenvs
+        run: |
+          cp docker/.env.example docker/.env
+          cp docker/envs/middleware.env.example docker/middleware.env
+
+      - name: Expose Service Ports
+        run: sh .github/workflows/expose_service_ports.sh
+
+#      - name: Set up Vector Store (TiDB)
+#        uses: hoverkraft-tech/compose-action@v2.0.2
+#        with:
+#          compose-file: docker/tidb/docker-compose.yaml
+#          services: |
+#            tidb
+#            tiflash
+
+      - name: Set up Full Vector Store Matrix
+        uses: hoverkraft-tech/compose-action@d2bee4f07e8ca410d6b196d00f90c12e7d48c33a # v2.6.0
+        with:
+          compose-file: |
+            docker/docker-compose.yaml
+          services: |
+            weaviate
+            qdrant
+            couchbase-server
+            etcd
+            minio
+            milvus-standalone
+            pgvecto-rs
+            pgvector
+            chroma
+            elasticsearch
+            oceanbase
+
+      - name: setup test config
+        run: |
+          echo $(pwd)
+          ls -lah .
+          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
+
+#      - name: Check VDB Ready (TiDB)
+#        run: uv run --project api python api/providers/vdb/tidb-vector/tests/integration_tests/check_tiflash_ready.py
+
+      - name: Test Vector Stores
+        run: uv run --project api bash dev/pytest/pytest_vdb.sh

.github/workflows/vdb-tests.yml

@@ -1,20 +1,22 @@
-name: Run VDB Tests
+name: Run VDB Smoke Tests
 
 on:
   workflow_call:
 
+permissions:
+  contents: read
+
 concurrency:
   group: vdb-tests-${{ github.head_ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
   test:
-    name: VDB Tests
-    runs-on: ubuntu-latest
+    name: VDB Smoke Tests
+    runs-on: depot-ubuntu-24.04
     strategy:
       matrix:
         python-version:
-          - "3.11"
           - "3.12"
 
     steps:
@@ -31,7 +33,7 @@ jobs:
           remove_tool_cache: true
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
         with:
           enable-cache: true
           python-version: ${{ matrix.python-version }}
@@ -46,7 +48,7 @@ jobs:
       - name: Set up dotenvs
         run: |
           cp docker/.env.example docker/.env
-          cp docker/middleware.env.example docker/middleware.env
+          cp docker/envs/middleware.env.example docker/middleware.env
 
       - name: Expose Service Ports
         run: sh .github/workflows/expose_service_ports.sh
@@ -59,23 +61,18 @@ jobs:
 #            tidb
 #            tiflash
 
-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
-        uses: hoverkraft-tech/compose-action@4894d2492015c1774ee5a13a95b1072093087ec3 # v2.5.0
+      - name: Set up Vector Stores for Smoke Coverage
+        uses: hoverkraft-tech/compose-action@d2bee4f07e8ca410d6b196d00f90c12e7d48c33a # v2.6.0
         with:
           compose-file: |
             docker/docker-compose.yaml
           services: |
+            db_postgres
+            redis
             weaviate
             qdrant
-            couchbase-server
-            etcd
-            minio
-            milvus-standalone
-            pgvecto-rs
             pgvector
             chroma
-            elasticsearch
-            oceanbase
 
       - name: setup test config
         run: |
@@ -84,7 +81,12 @@ jobs:
           cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
 
 #      - name: Check VDB Ready (TiDB)
-#        run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
+#        run: uv run --project api python api/providers/vdb/tidb-vector/tests/integration_tests/check_tiflash_ready.py
 
       - name: Test Vector Stores
-        run: uv run --project api bash dev/pytest/pytest_vdb.sh
+        run: |
+          uv run --project api pytest --timeout "${PYTEST_TIMEOUT:-180}" \
+            api/providers/vdb/vdb-chroma/tests/integration_tests \
+            api/providers/vdb/vdb-pgvector/tests/integration_tests \
+            api/providers/vdb/vdb-qdrant/tests/integration_tests \
+            api/providers/vdb/vdb-weaviate/tests/integration_tests

.github/workflows/web-e2e.yml

@@ -0,0 +1,68 @@
+name: Web Full-Stack E2E
+
+on:
+  workflow_call:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: web-e2e-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    name: Web Full-Stack E2E
+    runs-on: depot-ubuntu-24.04-4
+    defaults:
+      run:
+        shell: bash
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          persist-credentials: false
+
+      - name: Setup web dependencies
+        uses: ./.github/actions/setup-web
+
+      - name: Setup UV and Python
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0
+        with:
+          enable-cache: true
+          python-version: "3.12"
+          cache-dependency-glob: api/uv.lock
+
+      - name: Install API dependencies
+        run: uv sync --project api --dev
+
+      - name: Install Playwright browser
+        working-directory: ./e2e
+        run: vp run e2e:install
+
+      - name: Run isolated source-api and built-web Cucumber E2E tests
+        working-directory: ./e2e
+        env:
+          E2E_ADMIN_EMAIL: e2e-admin@example.com
+          E2E_ADMIN_NAME: E2E Admin
+          E2E_ADMIN_PASSWORD: E2eAdmin12345
+          E2E_FORCE_WEB_BUILD: "1"
+          E2E_INIT_PASSWORD: E2eInit12345
+        run: vp run e2e:full
+
+      - name: Upload Cucumber report
+        if: ${{ !cancelled() }}
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: cucumber-report
+          path: e2e/cucumber-report
+          retention-days: 7
+
+      - name: Upload E2E logs
+        if: ${{ !cancelled() }}
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: e2e-logs
+          path: e2e/.logs
+          retention-days: 7

.github/workflows/web-tests.yml

@@ -16,14 +16,14 @@ concurrency:
 jobs:
   test:
     name: Web Tests (${{ matrix.shardIndex }}/${{ matrix.shardTotal }})
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04-4
     env:
       VITEST_COVERAGE_SCOPE: app-components
     strategy:
       fail-fast: false
       matrix:
-        shardIndex: [1, 2, 3, 4, 5, 6]
-        shardTotal: [6]
+        shardIndex: [1, 2, 3, 4]
+        shardTotal: [4]
     defaults:
       run:
         shell: bash
@@ -43,7 +43,7 @@ jobs:
 
       - name: Upload blob report
         if: ${{ !cancelled() }}
-        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
         with:
           name: blob-report-${{ matrix.shardIndex }}
           path: web/.vitest-reports/*
@@ -54,7 +54,7 @@ jobs:
     name: Merge Test Reports
     if: ${{ !cancelled() }}
     needs: [test]
-    runs-on: ubuntu-latest
+    runs-on: depot-ubuntu-24.04-4
     env:
       CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
     defaults:
@@ -66,7 +66,6 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
         with:
-          fetch-depth: 0
           persist-credentials: false
 
       - name: Setup web environment
@@ -84,19 +83,22 @@ jobs:
 
       - name: Report coverage
         if: ${{ env.CODECOV_TOKEN != '' }}
-        uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
+        uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0
         with:
           directory: web/coverage
           flags: web
         env:
           CODECOV_TOKEN: ${{ env.CODECOV_TOKEN }}
 
-  web-build:
-    name: Web Build
-    runs-on: ubuntu-latest
+  dify-ui-test:
+    name: dify-ui Tests
+    runs-on: depot-ubuntu-24.04-4
+    env:
+      CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
     defaults:
       run:
-        working-directory: ./web
+        shell: bash
+        working-directory: ./packages/dify-ui
 
     steps:
       - name: Checkout code
@@ -104,20 +106,20 @@ jobs:
         with:
           persist-credentials: false
 
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@22103cc46bda19c2b464ffe86db46df6922fd323 # v47.0.5
-        with:
-          files: |
-            web/**
-            .github/workflows/web-tests.yml
-            .github/actions/setup-web/**
-
       - name: Setup web environment
-        if: steps.changed-files.outputs.any_changed == 'true'
         uses: ./.github/actions/setup-web
 
-      - name: Web build check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: vp run build
+      - name: Install Chromium for Browser Mode
+        run: vp exec playwright install --with-deps chromium
+
+      - name: Run dify-ui tests
+        run: vp test run --coverage --silent=passed-only
+
+      - name: Report coverage
+        if: ${{ env.CODECOV_TOKEN != '' }}
+        uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0
+        with:
+          directory: packages/dify-ui/coverage
+          flags: dify-ui
+        env:
+          CODECOV_TOKEN: ${{ env.CODECOV_TOKEN }}

api/.env.example

@@ -759,6 +759,7 @@ EVENT_BUS_REDIS_CHANNEL_TYPE=pubsub
 # Whether to use Redis cluster mode while use redis as event bus.
 #  It's highly recommended to enable this for large deployments.
 EVENT_BUS_REDIS_USE_CLUSTERS=false
+EVENT_BUS_LISTENER_JOIN_TIMEOUT_MS=2000
 
 # Whether to Enable human input timeout check task
 ENABLE_HUMAN_INPUT_TIMEOUT_TASK=true

api/app_factory.py

@@ -143,6 +143,7 @@ def initialize_extensions(app: DifyApp):
         ext_commands,
         ext_compress,
         ext_database,
+        ext_enterprise_telemetry,
         ext_fastopenapi,
         ext_forward_refs,
         ext_hosting_provider,
@@ -193,6 +194,7 @@ def initialize_extensions(app: DifyApp):
         ext_commands,
         ext_fastopenapi,
         ext_otel,
+        ext_enterprise_telemetry,
         ext_request_logging,
         ext_session_factory,
     ]

api/configs/app_config.py

@@ -8,7 +8,7 @@ from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, Settings
 from libs.file_utils import search_file_upwards
 
 from .deploy import DeploymentConfig
-from .enterprise import EnterpriseFeatureConfig
+from .enterprise import EnterpriseFeatureConfig, EnterpriseTelemetryConfig
 from .extra import ExtraServiceConfig
 from .feature import FeatureConfig
 from .middleware import MiddlewareConfig
@@ -73,6 +73,8 @@ class DifyConfig(
     # Enterprise feature configs
     # **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
     EnterpriseFeatureConfig,
+    # Enterprise telemetry configs
+    EnterpriseTelemetryConfig,
 ):
     model_config = SettingsConfigDict(
         # read from dotenv format config file

api/configs/enterprise/__init__.py

@@ -22,3 +22,58 @@ class EnterpriseFeatureConfig(BaseSettings):
     ENTERPRISE_REQUEST_TIMEOUT: int = Field(
         ge=1, description="Maximum timeout in seconds for enterprise requests", default=5
     )
+
+    ENTERPRISE_DISABLE_RUNTIME_CREDENTIAL_CHECK: bool = Field(
+        default=False,
+        description="When disabled, credential policy check is disabled at workflow run time."
+        "You can disable to gain performance by trading off consistency",
+    )
+
+
+class EnterpriseTelemetryConfig(BaseSettings):
+    """
+    Configuration for enterprise telemetry.
+    """
+
+    ENTERPRISE_TELEMETRY_ENABLED: bool = Field(
+        description="Enable enterprise telemetry collection (also requires ENTERPRISE_ENABLED=true).",
+        default=False,
+    )
+
+    ENTERPRISE_OTLP_ENDPOINT: str = Field(
+        description="Enterprise OTEL collector endpoint.",
+        default="",
+    )
+
+    ENTERPRISE_OTLP_HEADERS: str = Field(
+        description="Auth headers for OTLP export (key=value,key2=value2).",
+        default="",
+    )
+
+    ENTERPRISE_OTLP_PROTOCOL: str = Field(
+        description="OTLP protocol: 'http' or 'grpc' (default: http).",
+        default="http",
+    )
+
+    ENTERPRISE_OTLP_API_KEY: str = Field(
+        description="Bearer token for enterprise OTLP export authentication.",
+        default="",
+    )
+
+    ENTERPRISE_INCLUDE_CONTENT: bool = Field(
+        description="Include input/output content in traces (privacy toggle).",
+        # Setting the default value to False to avoid accidentally log PII data in traces.
+        default=False,
+    )
+
+    ENTERPRISE_SERVICE_NAME: str = Field(
+        description="Service name for OTEL resource.",
+        default="dify",
+    )
+
+    ENTERPRISE_OTEL_SAMPLING_RATE: float = Field(
+        description="Sampling rate for enterprise traces (0.0 to 1.0, default 1.0 = 100%).",
+        default=1.0,
+        ge=0.0,
+        le=1.0,
+    )

api/configs/middleware/cache/redis_pubsub_config.py

@@ -2,6 +2,7 @@ from typing import Literal, Protocol, cast
 from urllib.parse import quote_plus, urlunparse
 
 from pydantic import AliasChoices, Field
+from pydantic.types import NonNegativeInt
 from pydantic_settings import BaseSettings
 
 
@@ -70,6 +71,24 @@ class RedisPubSubConfig(BaseSettings):
         default=600,
     )
 
+    PUBSUB_LISTENER_JOIN_TIMEOUT_MS: NonNegativeInt = Field(
+        validation_alias=AliasChoices("EVENT_BUS_LISTENER_JOIN_TIMEOUT_MS", "PUBSUB_LISTENER_JOIN_TIMEOUT_MS"),
+        description=(
+            "Maximum time (milliseconds) that ``Subscription.close()`` waits for its listener thread to "
+            "finish before returning. Bounds the tail latency between a terminal event being delivered to "
+            "an SSE client and the response stream actually closing.\n\n"
+            "The listener thread blocks on a polling read (XREAD BLOCK for streams, get_message timeout "
+            "for pubsub/sharded) with a fixed 1s window, so close() naturally has to wait up to ~1s for "
+            "the thread to notice the subscription was closed. Setting this lower (e.g. 100) lets close() "
+            "return promptly while the daemon listener thread cleans itself up on the next poll "
+            "boundary - safe because the listener holds no critical state and exits within one poll "
+            "window. Setting it higher (e.g. 5000) gives the listener more grace before close() gives up "
+            "and logs a warning. Default 2000ms preserves the pre-change behaviour.\n\n"
+            "Also accepts ENV: EVENT_BUS_LISTENER_JOIN_TIMEOUT_MS."
+        ),
+        default=2000,
+    )
+
     def _build_default_pubsub_url(self) -> str:
         defaults = _redis_defaults(self)
         if not defaults.REDIS_HOST or not defaults.REDIS_PORT:

api/controllers/console/workspace/tool_providers.py

@@ -875,10 +875,10 @@ class ToolBuiltinProviderSetDefaultApi(Resource):
     @login_required
     @account_initialization_required
     def post(self, provider):
-        current_user, current_tenant_id = current_account_with_tenant()
+        _, current_tenant_id = current_account_with_tenant()
         payload = BuiltinProviderDefaultCredentialPayload.model_validate(console_ns.payload or {})
         return BuiltinToolManageService.set_default_provider(
-            tenant_id=current_tenant_id, user_id=current_user.id, provider=provider, id=payload.id
+            tenant_id=current_tenant_id, provider=provider, id=payload.id
         )
 
 

api/controllers/inner_api/__init__.py

@@ -16,12 +16,14 @@ api = ExternalApi(
 inner_api_ns = Namespace("inner_api", description="Internal API operations", path="/")
 
 from . import mail as _mail
+from .app import dsl as _app_dsl
 from .plugin import plugin as _plugin
 from .workspace import workspace as _workspace
 
 api.add_namespace(inner_api_ns)
 
 __all__ = [
+    "_app_dsl",
     "_mail",
     "_plugin",
     "_workspace",

api/controllers/inner_api/app/__init__.py

@@ -0,0 +1 @@
+

api/controllers/inner_api/app/dsl.py

@@ -0,0 +1,110 @@
+"""Inner API endpoints for app DSL import/export.
+
+Called by the enterprise admin-api service. Import requires ``creator_email``
+to attribute the created app; workspace/membership validation is done by the
+Go admin-api caller.
+"""
+
+from flask import request
+from flask_restx import Resource
+from pydantic import BaseModel, Field
+from sqlalchemy.orm import Session
+
+from controllers.common.schema import register_schema_model
+from controllers.console.wraps import setup_required
+from controllers.inner_api import inner_api_ns
+from controllers.inner_api.wraps import enterprise_inner_api_only
+from extensions.ext_database import db
+from models import Account, App
+from models.account import AccountStatus
+from services.app_dsl_service import AppDslService, ImportMode, ImportStatus
+
+
+class InnerAppDSLImportPayload(BaseModel):
+    yaml_content: str = Field(description="YAML DSL content")
+    creator_email: str = Field(description="Email of the workspace member who will own the imported app")
+    name: str | None = Field(default=None, description="Override app name from DSL")
+    description: str | None = Field(default=None, description="Override app description from DSL")
+
+
+register_schema_model(inner_api_ns, InnerAppDSLImportPayload)
+
+
+@inner_api_ns.route("/enterprise/workspaces/<string:workspace_id>/dsl/import")
+class EnterpriseAppDSLImport(Resource):
+    @setup_required
+    @enterprise_inner_api_only
+    @inner_api_ns.doc("enterprise_app_dsl_import")
+    @inner_api_ns.expect(inner_api_ns.models[InnerAppDSLImportPayload.__name__])
+    @inner_api_ns.doc(
+        responses={
+            200: "Import completed",
+            202: "Import pending (DSL version mismatch requires confirmation)",
+            400: "Import failed (business error)",
+            404: "Creator account not found or inactive",
+        }
+    )
+    def post(self, workspace_id: str):
+        """Import a DSL into a workspace on behalf of a specified creator."""
+        args = InnerAppDSLImportPayload.model_validate(inner_api_ns.payload or {})
+
+        account = _get_active_account(args.creator_email)
+        if account is None:
+            return {"message": f"account '{args.creator_email}' not found or inactive"}, 404
+
+        account.set_tenant_id(workspace_id)
+
+        with Session(db.engine) as session:
+            dsl_service = AppDslService(session)
+            result = dsl_service.import_app(
+                account=account,
+                import_mode=ImportMode.YAML_CONTENT,
+                yaml_content=args.yaml_content,
+                name=args.name,
+                description=args.description,
+            )
+            session.commit()
+
+        if result.status == ImportStatus.FAILED:
+            return result.model_dump(mode="json"), 400
+        if result.status == ImportStatus.PENDING:
+            return result.model_dump(mode="json"), 202
+        return result.model_dump(mode="json"), 200
+
+
+@inner_api_ns.route("/enterprise/apps/<string:app_id>/dsl")
+class EnterpriseAppDSLExport(Resource):
+    @setup_required
+    @enterprise_inner_api_only
+    @inner_api_ns.doc(
+        "enterprise_app_dsl_export",
+        responses={
+            200: "Export successful",
+            404: "App not found",
+        },
+    )
+    def get(self, app_id: str):
+        """Export an app's DSL as YAML."""
+        include_secret = request.args.get("include_secret", "false").lower() == "true"
+
+        app_model = db.session.query(App).filter_by(id=app_id).first()
+        if not app_model:
+            return {"message": "app not found"}, 404
+
+        data = AppDslService.export_dsl(
+            app_model=app_model,
+            include_secret=include_secret,
+        )
+
+        return {"data": data}, 200
+
+
+def _get_active_account(email: str) -> Account | None:
+    """Look up an active account by email.
+
+    Workspace membership is already validated by the Go admin-api caller.
+    """
+    account = db.session.query(Account).filter_by(email=email).first()
+    if account is None or account.status != AccountStatus.ACTIVE:
+        return None
+    return account

api/core/app/apps/advanced_chat/app_generator.py

@@ -5,7 +5,7 @@ import logging
 import threading
 import uuid
 from collections.abc import Generator, Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Literal, Union, overload
+from typing import TYPE_CHECKING, Any, Literal, TypeVar, Union, overload
 
 from flask import Flask, current_app
 from pydantic import ValidationError
@@ -47,6 +47,7 @@ from extensions.ext_database import db
 from factories import file_factory
 from libs.flask_utils import preserve_flask_contexts
 from models import Account, App, Conversation, EndUser, Message, Workflow, WorkflowNodeExecutionTriggeredFrom
+from models.base import Base
 from models.enums import WorkflowRunTriggeredFrom
 from services.conversation_service import ConversationService
 from services.workflow_draft_variable_service import (
@@ -521,10 +522,8 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
 
         # release database connection, because the following new thread operations may take a long time
         with Session(bind=db.engine, expire_on_commit=False) as session:
-            workflow = _refresh_model(session=session, model=workflow)
-            message = _refresh_model(session=session, model=message)
-        if message is None:
-            raise RuntimeError("Failed to refresh Message; _refresh_model returned None.")
+            workflow = _refresh_model(session, workflow)
+            message = _refresh_model(session, message)
         #     workflow_ = session.get(Workflow, workflow.id)
         #     assert workflow_ is not None
         #     workflow = workflow_
@@ -691,21 +690,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
                 raise e
 
 
-@overload
-def _refresh_model(*, session: Session | None = None, model: Workflow) -> Workflow: ...
+_T = TypeVar("_T", bound=Base)
 
 
-@overload
-def _refresh_model(*, session: Session | None = None, model: Message) -> Message: ...
-
-
-def _refresh_model(*, session: Session | None = None, model: Any) -> Any:
-    if session is not None:
-        detached_model = session.get(type(model), model.id)
-        assert detached_model is not None
-        return detached_model
-
-    with Session(bind=db.engine, expire_on_commit=False) as refresh_session:
-        detached_model = refresh_session.get(type(model), model.id)
-        assert detached_model is not None
-        return detached_model
+def _refresh_model(session, model: _T) -> _T:
+    with Session(bind=db.engine, expire_on_commit=False) as session:
+        detach_model = session.get(type(model), model.id)
+        assert detach_model is not None
+        return detach_model

api/core/app/apps/advanced_chat/generate_response_converter.py

@@ -1,4 +1,4 @@
-from collections.abc import Generator, Iterator
+from collections.abc import Generator
 from typing import Any, cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
@@ -56,8 +56,8 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
-    ) -> Generator[dict | str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, Any, None]:
         """
         Convert stream full response.
         :param stream_response: stream response
@@ -87,8 +87,8 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
-    ) -> Generator[dict | str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, Any, None]:
         """
         Convert stream simple response.
         :param stream_response: stream response

api/core/app/apps/advanced_chat/generate_task_pipeline.py

@@ -7,7 +7,7 @@ from contextlib import contextmanager
 from threading import Thread
 from typing import Any, Union
 
-from sqlalchemy import select
+from sqlalchemy import select, update
 from sqlalchemy.orm import Session
 
 from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
@@ -311,11 +311,9 @@ class AdvancedChatAppGenerateTaskPipeline(GraphRuntimeStateSupport):
         self._workflow_run_id = run_id
 
         with self._database_session() as session:
-            message = self._get_message(session=session)
-            if not message:
-                raise ValueError(f"Message not found: {self._message_id}")
-
-            message.workflow_run_id = run_id
+            session.execute(
+                update(Message).where(Message.id == self._message_id).values(workflow_run_id=run_id)
+            )
 
         workflow_start_resp = self._workflow_response_converter.workflow_start_to_stream_response(
             task_id=self._application_generate_entity.task_id,

api/core/app/apps/agent_chat/generate_response_converter.py

@@ -1,4 +1,4 @@
-from collections.abc import Generator, Iterator
+from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
@@ -55,7 +55,7 @@ class AgentChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
@@ -86,7 +86,7 @@ class AgentChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.

api/core/app/apps/base_app_generate_response_converter.py

@@ -1,7 +1,7 @@
 import logging
 from abc import ABC, abstractmethod
-from collections.abc import Generator, Iterator, Mapping
-from typing import Any
+from collections.abc import Generator, Mapping
+from typing import Any, Union
 
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.app.entities.task_entities import AppBlockingResponse, AppStreamResponse
@@ -16,26 +16,24 @@ class AppGenerateResponseConverter(ABC):
 
     @classmethod
     def convert(
-        cls, response: AppBlockingResponse | Iterator[AppStreamResponse], invoke_from: InvokeFrom
-    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
+        cls, response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]], invoke_from: InvokeFrom
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
         if invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.SERVICE_API}:
             if isinstance(response, AppBlockingResponse):
                 return cls.convert_blocking_full_response(response)
             else:
-                stream_response = response
 
-                def _generate_full_response() -> Generator[dict[str, Any] | str, None, None]:
-                    yield from cls.convert_stream_full_response(stream_response)
+                def _generate_full_response() -> Generator[dict | str, Any, None]:
+                    yield from cls.convert_stream_full_response(response)
 
                 return _generate_full_response()
         else:
             if isinstance(response, AppBlockingResponse):
                 return cls.convert_blocking_simple_response(response)
             else:
-                stream_response = response
 
-                def _generate_simple_response() -> Generator[dict[str, Any] | str, None, None]:
-                    yield from cls.convert_stream_simple_response(stream_response)
+                def _generate_simple_response() -> Generator[dict | str, Any, None]:
+                    yield from cls.convert_stream_simple_response(response)
 
                 return _generate_simple_response()
 
@@ -52,14 +50,14 @@ class AppGenerateResponseConverter(ABC):
     @classmethod
     @abstractmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         raise NotImplementedError
 
     @classmethod
     @abstractmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         raise NotImplementedError
 

api/core/app/apps/base_app_generator.py

@@ -224,7 +224,6 @@ class BaseAppGenerator:
     def _get_draft_var_saver_factory(invoke_from: InvokeFrom, account: Account | EndUser) -> DraftVariableSaverFactory:
         if invoke_from == InvokeFrom.DEBUGGER:
             assert isinstance(account, Account)
-            debug_account = account
 
             def draft_var_saver_factory(
                 session: Session,
@@ -241,7 +240,7 @@ class BaseAppGenerator:
                     node_type=node_type,
                     node_execution_id=node_execution_id,
                     enclosing_node_id=enclosing_node_id,
-                    user=debug_account,
+                    user=account,
                 )
         else:
 

api/core/app/apps/chat/app_generator.py

@@ -166,19 +166,15 @@ class ChatAppGenerator(MessageBasedAppGenerator):
 
         # init generate records
         (conversation, message) = self._init_generate_records(application_generate_entity, conversation)
-        if conversation is None or message is None:
-            raise RuntimeError("_init_generate_records() returned None for conversation or message")
-        generated_conversation_id = str(conversation.id)
-        generated_message_id = str(message.id)
 
         # init queue manager
         queue_manager = MessageBasedAppQueueManager(
             task_id=application_generate_entity.task_id,
             user_id=application_generate_entity.user_id,
             invoke_from=application_generate_entity.invoke_from,
-            conversation_id=generated_conversation_id,
+            conversation_id=conversation.id,
             app_mode=conversation.mode,
-            message_id=generated_message_id,
+            message_id=message.id,
         )
 
         # new thread with request context
@@ -188,8 +184,8 @@ class ChatAppGenerator(MessageBasedAppGenerator):
                 flask_app=current_app._get_current_object(),  # type: ignore
                 application_generate_entity=application_generate_entity,
                 queue_manager=queue_manager,
-                conversation_id=generated_conversation_id,
-                message_id=generated_message_id,
+                conversation_id=conversation.id,
+                message_id=message.id,
             )
 
         worker_thread = threading.Thread(target=worker_with_context)

api/core/app/apps/chat/generate_response_converter.py

@@ -1,4 +1,4 @@
-from collections.abc import Generator, Iterator
+from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
@@ -55,7 +55,7 @@ class ChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
@@ -86,7 +86,7 @@ class ChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.

api/core/app/apps/completion/app_generator.py

@@ -149,11 +149,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
 
         # init generate records
         (conversation, message) = self._init_generate_records(application_generate_entity)
-        if conversation is None or message is None:
-            raise RuntimeError(
-                "_init_generate_records() returned None for conversation or message, "
-                "which is required to proceed with generation."
-            )
 
         # init queue manager
         queue_manager = MessageBasedAppQueueManager(
@@ -317,19 +312,15 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
 
         # init generate records
         (conversation, message) = self._init_generate_records(application_generate_entity)
-        assert conversation is not None
-        assert message is not None
-        conversation_id = str(conversation.id)
-        message_id = str(message.id)
 
         # init queue manager
         queue_manager = MessageBasedAppQueueManager(
             task_id=application_generate_entity.task_id,
             user_id=application_generate_entity.user_id,
             invoke_from=application_generate_entity.invoke_from,
-            conversation_id=conversation_id,
+            conversation_id=conversation.id,
             app_mode=conversation.mode,
-            message_id=message_id,
+            message_id=message.id,
         )
 
         # new thread with request context
@@ -339,7 +330,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
                 flask_app=current_app._get_current_object(),  # type: ignore
                 application_generate_entity=application_generate_entity,
                 queue_manager=queue_manager,
-                message_id=message_id,
+                message_id=message.id,
             )
 
         worker_thread = threading.Thread(target=worker_with_context)

api/core/app/apps/completion/generate_response_converter.py

@@ -1,4 +1,4 @@
-from collections.abc import Generator, Iterator
+from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
@@ -54,7 +54,7 @@ class CompletionAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
@@ -84,7 +84,7 @@ class CompletionAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.

api/core/app/apps/pipeline/generate_response_converter.py

@@ -1,4 +1,4 @@
-from collections.abc import Generator, Iterator
+from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
@@ -36,7 +36,7 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
@@ -65,7 +65,7 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.

api/core/app/apps/workflow/generate_response_converter.py

@@ -1,4 +1,4 @@
-from collections.abc import Generator, Iterator
+from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
@@ -36,7 +36,7 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
@@ -65,7 +65,7 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_simple_response(
-        cls, stream_response: Iterator[AppStreamResponse]
+        cls, stream_response: Generator[AppStreamResponse, None, None]
     ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.

api/core/app/apps/workflow_app_runner.py

@@ -1,17 +1,13 @@
 import logging
 import time
 from collections.abc import Mapping, Sequence
-from typing import Protocol, TypeAlias
+from typing import Any, cast
 
 from pydantic import ValidationError
 
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.entities.agent_strategy import AgentStrategyInfo
-from core.app.entities.app_invoke_entities import (
-    InvokeFrom,
-    UserFrom,
-    build_dify_run_context,
-)
+from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom, build_dify_run_context
 from core.app.entities.queue_entities import (
     AppQueueEvent,
     QueueAgentLogEvent,
@@ -40,7 +36,7 @@ from core.rag.entities.citation_metadata import RetrievalSourceMetadata
 from core.workflow.node_factory import DifyNodeFactory, get_default_root_node_id, resolve_workflow_node_class
 from core.workflow.workflow_entry import WorkflowEntry
 from dify_graph.entities import GraphInitParams
-from dify_graph.entities.graph_config import NodeConfigDict, NodeConfigDictAdapter
+from dify_graph.entities.graph_config import NodeConfigDictAdapter
 from dify_graph.entities.pause_reason import HumanInputRequired
 from dify_graph.graph import Graph
 from dify_graph.graph_engine.layers.base import GraphEngineLayer
@@ -79,14 +75,6 @@ from tasks.mail_human_input_delivery_task import dispatch_human_input_email_task
 
 logger = logging.getLogger(__name__)
 
-GraphConfigObject: TypeAlias = dict[str, object]
-GraphConfigMapping: TypeAlias = Mapping[str, object]
-
-
-class SingleNodeRunEntity(Protocol):
-    node_id: str
-    inputs: Mapping[str, object]
-
 
 class WorkflowBasedAppRunner:
     def __init__(
@@ -110,7 +98,7 @@ class WorkflowBasedAppRunner:
 
     def _init_graph(
         self,
-        graph_config: GraphConfigMapping,
+        graph_config: Mapping[str, Any],
         graph_runtime_state: GraphRuntimeState,
         user_from: UserFrom,
         invoke_from: InvokeFrom,
@@ -166,8 +154,8 @@ class WorkflowBasedAppRunner:
     def _prepare_single_node_execution(
         self,
         workflow: Workflow,
-        single_iteration_run: SingleNodeRunEntity | None = None,
-        single_loop_run: SingleNodeRunEntity | None = None,
+        single_iteration_run: Any | None = None,
+        single_loop_run: Any | None = None,
     ) -> tuple[Graph, VariablePool, GraphRuntimeState]:
         """
         Prepare graph, variable pool, and runtime state for single node execution
@@ -220,88 +208,11 @@ class WorkflowBasedAppRunner:
         # This ensures all nodes in the graph reference the same GraphRuntimeState instance
         return graph, variable_pool, graph_runtime_state
 
-    @staticmethod
-    def _get_graph_items(graph_config: GraphConfigMapping) -> tuple[list[GraphConfigMapping], list[GraphConfigMapping]]:
-        nodes = graph_config.get("nodes")
-        edges = graph_config.get("edges")
-        if not isinstance(nodes, list):
-            raise ValueError("nodes in workflow graph must be a list")
-        if not isinstance(edges, list):
-            raise ValueError("edges in workflow graph must be a list")
-
-        validated_nodes: list[GraphConfigMapping] = []
-        for node in nodes:
-            if not isinstance(node, Mapping):
-                raise ValueError("nodes in workflow graph must be mappings")
-            validated_nodes.append(node)
-
-        validated_edges: list[GraphConfigMapping] = []
-        for edge in edges:
-            if not isinstance(edge, Mapping):
-                raise ValueError("edges in workflow graph must be mappings")
-            validated_edges.append(edge)
-
-        return validated_nodes, validated_edges
-
-    @staticmethod
-    def _extract_start_node_id(node_config: GraphConfigMapping | None) -> str | None:
-        if node_config is None:
-            return None
-        node_data = node_config.get("data")
-        if not isinstance(node_data, Mapping):
-            return None
-        start_node_id = node_data.get("start_node_id")
-        return start_node_id if isinstance(start_node_id, str) else None
-
-    @classmethod
-    def _build_single_node_graph_config(
-        cls,
-        *,
-        graph_config: GraphConfigMapping,
-        node_id: str,
-        node_type_filter_key: str,
-    ) -> tuple[GraphConfigObject, NodeConfigDict]:
-        node_configs, edge_configs = cls._get_graph_items(graph_config)
-        main_node_config = next((node for node in node_configs if node.get("id") == node_id), None)
-        start_node_id = cls._extract_start_node_id(main_node_config)
-
-        filtered_node_configs = [
-            dict(node)
-            for node in node_configs
-            if node.get("id") == node_id
-            or (isinstance(node_data := node.get("data"), Mapping) and node_data.get(node_type_filter_key) == node_id)
-            or (start_node_id and node.get("id") == start_node_id)
-        ]
-        if not filtered_node_configs:
-            raise ValueError(f"node id {node_id} not found in workflow graph")
-
-        filtered_node_ids = {
-            str(node_id_value) for node in filtered_node_configs if isinstance((node_id_value := node.get("id")), str)
-        }
-        filtered_edge_configs = [
-            dict(edge)
-            for edge in edge_configs
-            if (edge.get("source") is None or edge.get("source") in filtered_node_ids)
-            and (edge.get("target") is None or edge.get("target") in filtered_node_ids)
-        ]
-
-        target_node_config = next((node for node in filtered_node_configs if node.get("id") == node_id), None)
-        if target_node_config is None:
-            raise ValueError(f"node id {node_id} not found in workflow graph")
-
-        return (
-            {
-                "nodes": filtered_node_configs,
-                "edges": filtered_edge_configs,
-            },
-            NodeConfigDictAdapter.validate_python(target_node_config),
-        )
-
     def _get_graph_and_variable_pool_for_single_node_run(
         self,
         workflow: Workflow,
         node_id: str,
-        user_inputs: Mapping[str, object],
+        user_inputs: dict[str, Any],
         graph_runtime_state: GraphRuntimeState,
         node_type_filter_key: str,  # 'iteration_id' or 'loop_id'
         node_type_label: str = "node",  # 'iteration' or 'loop' for error messages
@@ -325,14 +236,41 @@ class WorkflowBasedAppRunner:
         if not graph_config:
             raise ValueError("workflow graph not found")
 
+        graph_config = cast(dict[str, Any], graph_config)
+
         if "nodes" not in graph_config or "edges" not in graph_config:
             raise ValueError("nodes or edges not found in workflow graph")
 
-        graph_config, target_node_config = self._build_single_node_graph_config(
-            graph_config=graph_config,
-            node_id=node_id,
-            node_type_filter_key=node_type_filter_key,
-        )
+        if not isinstance(graph_config.get("nodes"), list):
+            raise ValueError("nodes in workflow graph must be a list")
+
+        if not isinstance(graph_config.get("edges"), list):
+            raise ValueError("edges in workflow graph must be a list")
+
+        # filter nodes only in the specified node type (iteration or loop)
+        main_node_config = next((n for n in graph_config.get("nodes", []) if n.get("id") == node_id), None)
+        start_node_id = main_node_config.get("data", {}).get("start_node_id") if main_node_config else None
+        node_configs = [
+            node
+            for node in graph_config.get("nodes", [])
+            if node.get("id") == node_id
+            or node.get("data", {}).get(node_type_filter_key, "") == node_id
+            or (start_node_id and node.get("id") == start_node_id)
+        ]
+
+        graph_config["nodes"] = node_configs
+
+        node_ids = [node.get("id") for node in node_configs]
+
+        # filter edges only in the specified node type
+        edge_configs = [
+            edge
+            for edge in graph_config.get("edges", [])
+            if (edge.get("source") is None or edge.get("source") in node_ids)
+            and (edge.get("target") is None or edge.get("target") in node_ids)
+        ]
+
+        graph_config["edges"] = edge_configs
 
         # Create required parameters for Graph.init
         graph_init_params = GraphInitParams(
@@ -361,6 +299,18 @@ class WorkflowBasedAppRunner:
         if not graph:
             raise ValueError("graph not found in workflow")
 
+        # fetch node config from node id
+        target_node_config = None
+        for node in node_configs:
+            if node.get("id") == node_id:
+                target_node_config = node
+                break
+
+        if not target_node_config:
+            raise ValueError(f"{node_type_label} node id not found in workflow graph")
+
+        target_node_config = NodeConfigDictAdapter.validate_python(target_node_config)
+
         # Get node class
         node_type = target_node_config["data"].type
         node_version = str(target_node_config["data"].version)

api/core/app/entities/app_invoke_entities.py

@@ -213,7 +213,7 @@ class AdvancedChatAppGenerateEntity(ConversationAppGenerateEntity):
         """
 
         node_id: str
-        inputs: Mapping[str, object]
+        inputs: Mapping
 
     single_iteration_run: SingleIterationRunEntity | None = None
 
@@ -223,7 +223,7 @@ class AdvancedChatAppGenerateEntity(ConversationAppGenerateEntity):
         """
 
         node_id: str
-        inputs: Mapping[str, object]
+        inputs: Mapping
 
     single_loop_run: SingleLoopRunEntity | None = None
 
@@ -243,7 +243,7 @@ class WorkflowAppGenerateEntity(AppGenerateEntity):
         """
 
         node_id: str
-        inputs: Mapping[str, object]
+        inputs: dict
 
     single_iteration_run: SingleIterationRunEntity | None = None
 
@@ -253,7 +253,7 @@ class WorkflowAppGenerateEntity(AppGenerateEntity):
         """
 
         node_id: str
-        inputs: Mapping[str, object]
+        inputs: dict
 
     single_loop_run: SingleLoopRunEntity | None = None
 

api/core/app/llm/model_access.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+from copy import deepcopy
 from typing import Any
 
 from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
@@ -15,12 +16,17 @@ from dify_graph.nodes.llm.protocols import CredentialsProvider, ModelFactory
 class DifyCredentialsProvider:
     tenant_id: str
     provider_manager: ProviderManager
+    credentials_cache: dict[tuple[str, str], dict[str, Any]]
 
     def __init__(self, tenant_id: str, provider_manager: ProviderManager | None = None) -> None:
         self.tenant_id = tenant_id
         self.provider_manager = provider_manager or ProviderManager()
+        self.credentials_cache = {}
 
     def fetch(self, provider_name: str, model_name: str) -> dict[str, Any]:
+        if (provider_name, model_name) in self.credentials_cache:
+            return deepcopy(self.credentials_cache[(provider_name, model_name)])
+
         provider_configurations = self.provider_manager.get_configurations(self.tenant_id)
         provider_configuration = provider_configurations.get(provider_name)
         if not provider_configuration:
@@ -35,6 +41,7 @@ class DifyCredentialsProvider:
         if credentials is None:
             raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
 
+        self.credentials_cache[(provider_name, model_name)] = deepcopy(credentials)
         return credentials
 
 
@@ -44,7 +51,7 @@ class DifyModelFactory:
 
     def __init__(self, tenant_id: str, model_manager: ModelManager | None = None) -> None:
         self.tenant_id = tenant_id
-        self.model_manager = model_manager or ModelManager()
+        self.model_manager = model_manager or ModelManager(enable_credentials_cache=True)
 
     def init_model_instance(self, provider_name: str, model_name: str) -> ModelInstance:
         return self.model_manager.get_model_instance(
@@ -56,9 +63,13 @@ class DifyModelFactory:
 
 
 def build_dify_model_access(tenant_id: str) -> tuple[CredentialsProvider, ModelFactory]:
+    provider_manager = ProviderManager()
     return (
-        DifyCredentialsProvider(tenant_id=tenant_id),
-        DifyModelFactory(tenant_id=tenant_id),
+        DifyCredentialsProvider(tenant_id=tenant_id, provider_manager=provider_manager),
+        DifyModelFactory(
+            tenant_id=tenant_id,
+            model_manager=ModelManager(enable_credentials_cache=True, provider_manager=provider_manager),
+        ),
     )
 
 

api/core/entities/provider_configuration.py

@@ -9,6 +9,7 @@ from pydantic import BaseModel, ConfigDict, Field, model_validator
 from sqlalchemy import func, select
 from sqlalchemy.orm import Session
 
+from configs import dify_config
 from constants import HIDDEN_VALUE
 from core.entities.model_entities import ModelStatus, ModelWithProviderEntity, SimpleModelProviderEntity
 from core.entities.provider_entities import (
@@ -144,9 +145,9 @@ class ProviderConfiguration(BaseModel):
                 current_credential_id = self.custom_configuration.provider.current_credential_id
 
             if current_credential_id:
-                from core.helper.credential_utils import check_credential_policy_compliance
+                from core.helper.credential_utils import runtime_check_credential_policy_compliance
 
-                check_credential_policy_compliance(
+                runtime_check_credential_policy_compliance(
                     credential_id=current_credential_id,
                     provider=self.provider.provider,
                     credential_type=PluginCredentialType.MODEL,
@@ -155,9 +156,9 @@ class ProviderConfiguration(BaseModel):
                 # no current credential id, check all available credentials
                 if self.custom_configuration.provider:
                     for credential_configuration in self.custom_configuration.provider.available_credentials:
-                        from core.helper.credential_utils import check_credential_policy_compliance
+                        from core.helper.credential_utils import runtime_check_credential_policy_compliance
 
-                        check_credential_policy_compliance(
+                        runtime_check_credential_policy_compliance(
                             credential_id=credential_configuration.credential_id,
                             provider=self.provider.provider,
                             credential_type=PluginCredentialType.MODEL,

api/core/helper/credential_utils.py

@@ -2,6 +2,7 @@
 Credential utility functions for checking credential existence and policy compliance.
 """
 
+from configs import dify_config
 from services.enterprise.plugin_manager_service import PluginCredentialType
 
 
@@ -39,6 +40,14 @@ def is_credential_exists(credential_id: str, credential_type: "PluginCredentialT
         return False
 
 
+def runtime_check_credential_policy_compliance(
+    *args, **kwargs
+) -> None:
+    if dify_config.ENTERPRISE_DISABLE_RUNTIME_CREDENTIAL_CHECK:
+        return
+    check_credential_policy_compliance(*args, **kwargs)
+
+
 def check_credential_policy_compliance(
     credential_id: str, provider: str, credential_type: "PluginCredentialType", check_existence: bool = True
 ) -> None:

api/core/model_manager.py

@@ -1,5 +1,6 @@
 import logging
 from collections.abc import Callable, Generator, Iterable, Mapping, Sequence
+from copy import deepcopy
 from typing import IO, Any, Literal, Optional, Union, cast, overload
 
 from configs import dify_config
@@ -33,11 +34,13 @@ class ModelInstance:
     Model instance class
     """
 
-    def __init__(self, provider_model_bundle: ProviderModelBundle, model: str):
+    def __init__(self, provider_model_bundle: ProviderModelBundle, model: str, credentials: dict | None = None):
         self.provider_model_bundle = provider_model_bundle
         self.model_name = model
         self.provider = provider_model_bundle.configuration.provider.provider
-        self.credentials = self._fetch_credentials_from_bundle(provider_model_bundle, model)
+        if credentials is None:
+            credentials = self._fetch_credentials_from_bundle(provider_model_bundle, model)
+        self.credentials = credentials
         # Runtime LLM invocation fields.
         self.parameters: Mapping[str, Any] = {}
         self.stop: Sequence[str] = ()
@@ -430,10 +433,10 @@ class ModelInstance:
 
             # Additional policy compliance check as fallback (in case fetch_next didn't catch it)
             try:
-                from core.helper.credential_utils import check_credential_policy_compliance
+                from core.helper.credential_utils import runtime_check_credential_policy_compliance
 
                 if lb_config.credential_id:
-                    check_credential_policy_compliance(
+                    runtime_check_credential_policy_compliance(
                         credential_id=lb_config.credential_id,
                         provider=self.provider,
                         credential_type=PluginCredentialType.MODEL,
@@ -477,8 +480,10 @@ class ModelInstance:
 
 
 class ModelManager:
-    def __init__(self):
-        self._provider_manager = ProviderManager()
+    def __init__(self, enable_credentials_cache: bool = False, provider_manager: ProviderManager | None = None):
+        self._provider_manager = provider_manager or ProviderManager()
+        self._credentials_cache: dict[tuple[str, str, str, str], Any] = {}
+        self._enable_credentials_cache = enable_credentials_cache
 
     def get_model_instance(self, tenant_id: str, provider: str, model_type: ModelType, model: str) -> ModelInstance:
         """
@@ -496,7 +501,19 @@ class ModelManager:
             tenant_id=tenant_id, provider=provider, model_type=model_type
         )
 
-        return ModelInstance(provider_model_bundle, model)
+        cred_cache_key = (tenant_id, provider, model_type.value, model)
+
+        if cred_cache_key in self._credentials_cache:
+            return ModelInstance(
+                provider_model_bundle, 
+                model, 
+                deepcopy(self._credentials_cache[cred_cache_key]),
+            )
+
+        ret = ModelInstance(provider_model_bundle, model)
+        if self._enable_credentials_cache:
+            self._credentials_cache[cred_cache_key] = deepcopy(ret.credentials)
+        return ret
 
     def get_default_provider_model_name(self, tenant_id: str, model_type: ModelType) -> tuple[str | None, str | None]:
         """
@@ -626,10 +643,10 @@ class LBModelManager:
 
             # Check policy compliance for the selected configuration
             try:
-                from core.helper.credential_utils import check_credential_policy_compliance
+                from core.helper.credential_utils import runtime_check_credential_policy_compliance
 
                 if config.credential_id:
-                    check_credential_policy_compliance(
+                    runtime_check_credential_policy_compliance(
                         credential_id=config.credential_id,
                         provider=self._provider,
                         credential_type=PluginCredentialType.MODEL,

api/core/ops/entities/trace_entity.py

@@ -9,8 +9,8 @@ from pydantic import BaseModel, ConfigDict, field_serializer, field_validator
 class BaseTraceInfo(BaseModel):
     message_id: str | None = None
     message_data: Any | None = None
-    inputs: Union[str, dict[str, Any], list] | None = None
-    outputs: Union[str, dict[str, Any], list] | None = None
+    inputs: Union[str, dict[str, Any], list[Any]] | None = None
+    outputs: Union[str, dict[str, Any], list[Any]] | None = None
     start_time: datetime | None = None
     end_time: datetime | None = None
     metadata: dict[str, Any]
@@ -18,7 +18,7 @@ class BaseTraceInfo(BaseModel):
 
     @field_validator("inputs", "outputs")
     @classmethod
-    def ensure_type(cls, v):
+    def ensure_type(cls, v: str | dict[str, Any] | list[Any] | None) -> str | dict[str, Any] | list[Any] | None:
         if v is None:
             return None
         if isinstance(v, str | dict | list):
@@ -27,6 +27,48 @@ class BaseTraceInfo(BaseModel):
 
     model_config = ConfigDict(protected_namespaces=())
 
+    @property
+    def resolved_trace_id(self) -> str | None:
+        """Get trace_id with intelligent fallback.
+
+        Priority:
+        1. External trace_id (from X-Trace-Id header)
+        2. workflow_run_id (if this trace type has it)
+        3. message_id (as final fallback)
+        """
+        if self.trace_id:
+            return self.trace_id
+
+        # Try workflow_run_id (only exists on workflow-related traces)
+        workflow_run_id = getattr(self, "workflow_run_id", None)
+        if workflow_run_id:
+            return workflow_run_id
+
+        # Final fallback to message_id
+        return str(self.message_id) if self.message_id else None
+
+    @property
+    def resolved_parent_context(self) -> tuple[str | None, str | None]:
+        """Resolve cross-workflow parent linking from metadata.
+
+        Extracts typed parent IDs from the untyped ``parent_trace_context``
+        metadata dict (set by tool_node when invoking nested workflows).
+
+        Returns:
+            (trace_correlation_override, parent_span_id_source) where
+            trace_correlation_override is the outer workflow_run_id and
+            parent_span_id_source is the outer node_execution_id.
+        """
+        parent_ctx = self.metadata.get("parent_trace_context")
+        if not isinstance(parent_ctx, dict):
+            return None, None
+        trace_override = parent_ctx.get("parent_workflow_run_id")
+        parent_span = parent_ctx.get("parent_node_execution_id")
+        return (
+            trace_override if isinstance(trace_override, str) else None,
+            parent_span if isinstance(parent_span, str) else None,
+        )
+
     @field_serializer("start_time", "end_time")
     def serialize_datetime(self, dt: datetime | None) -> str | None:
         if dt is None:
@@ -48,7 +90,10 @@ class WorkflowTraceInfo(BaseTraceInfo):
     workflow_run_version: str
     error: str | None = None
     total_tokens: int
+    prompt_tokens: int | None = None
+    completion_tokens: int | None = None
     file_list: list[str]
+    invoked_by: str | None = None
     query: str
     metadata: dict[str, Any]
 
@@ -59,7 +104,7 @@ class MessageTraceInfo(BaseTraceInfo):
     answer_tokens: int
     total_tokens: int
     error: str | None = None
-    file_list: Union[str, dict[str, Any], list] | None = None
+    file_list: Union[str, dict[str, Any], list[Any]] | None = None
     message_file_data: Any | None = None
     conversation_mode: str
     gen_ai_server_time_to_first_token: float | None = None
@@ -106,7 +151,7 @@ class ToolTraceInfo(BaseTraceInfo):
     tool_config: dict[str, Any]
     time_cost: Union[int, float]
     tool_parameters: dict[str, Any]
-    file_url: Union[str, None, list] = None
+    file_url: Union[str, None, list[str]] = None
 
 
 class GenerateNameTraceInfo(BaseTraceInfo):
@@ -114,6 +159,79 @@ class GenerateNameTraceInfo(BaseTraceInfo):
     tenant_id: str
 
 
+class PromptGenerationTraceInfo(BaseTraceInfo):
+    """Trace information for prompt generation operations (rule-generate, code-generate, etc.)."""
+
+    tenant_id: str
+    user_id: str
+    app_id: str | None = None
+
+    operation_type: str
+    instruction: str
+
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+
+    model_provider: str
+    model_name: str
+
+    latency: float
+
+    total_price: float | None = None
+    currency: str | None = None
+
+    error: str | None = None
+
+    model_config = ConfigDict(protected_namespaces=())
+
+
+class WorkflowNodeTraceInfo(BaseTraceInfo):
+    workflow_id: str
+    workflow_run_id: str
+    tenant_id: str
+    node_execution_id: str
+    node_id: str
+    node_type: str
+    title: str
+
+    status: str
+    error: str | None = None
+    elapsed_time: float
+
+    index: int
+    predecessor_node_id: str | None = None
+
+    total_tokens: int = 0
+    total_price: float = 0.0
+    currency: str | None = None
+
+    model_provider: str | None = None
+    model_name: str | None = None
+    prompt_tokens: int | None = None
+    completion_tokens: int | None = None
+
+    tool_name: str | None = None
+
+    iteration_id: str | None = None
+    iteration_index: int | None = None
+    loop_id: str | None = None
+    loop_index: int | None = None
+    parallel_id: str | None = None
+
+    node_inputs: Mapping[str, Any] | None = None
+    node_outputs: Mapping[str, Any] | None = None
+    process_data: Mapping[str, Any] | None = None
+
+    invoked_by: str | None = None
+
+    model_config = ConfigDict(protected_namespaces=())
+
+
+class DraftNodeExecutionTrace(WorkflowNodeTraceInfo):
+    pass
+
+
 class TaskData(BaseModel):
     app_id: str
     trace_info_type: str
@@ -128,11 +246,31 @@ trace_info_info_map = {
     "DatasetRetrievalTraceInfo": DatasetRetrievalTraceInfo,
     "ToolTraceInfo": ToolTraceInfo,
     "GenerateNameTraceInfo": GenerateNameTraceInfo,
+    "PromptGenerationTraceInfo": PromptGenerationTraceInfo,
+    "WorkflowNodeTraceInfo": WorkflowNodeTraceInfo,
+    "DraftNodeExecutionTrace": DraftNodeExecutionTrace,
 }
 
 
+class OperationType(StrEnum):
+    """Operation type for token metric labels.
+
+    Used as a metric attribute on ``dify.tokens.input`` / ``dify.tokens.output``
+    counters so consumers can break down token usage by operation.
+    """
+
+    WORKFLOW = "workflow"
+    NODE_EXECUTION = "node_execution"
+    MESSAGE = "message"
+    RULE_GENERATE = "rule_generate"
+    CODE_GENERATE = "code_generate"
+    STRUCTURED_OUTPUT = "structured_output"
+    INSTRUCTION_MODIFY = "instruction_modify"
+
+
 class TraceTaskName(StrEnum):
     CONVERSATION_TRACE = "conversation"
+    DRAFT_NODE_EXECUTION_TRACE = "draft_node_execution"
     WORKFLOW_TRACE = "workflow"
     MESSAGE_TRACE = "message"
     MODERATION_TRACE = "moderation"
@@ -140,4 +278,6 @@ class TraceTaskName(StrEnum):
     DATASET_RETRIEVAL_TRACE = "dataset_retrieval"
     TOOL_TRACE = "tool"
     GENERATE_NAME_TRACE = "generate_conversation_name"
+    PROMPT_GENERATION_TRACE = "prompt_generation"
+    NODE_EXECUTION_TRACE = "node_execution"
     DATASOURCE_TRACE = "datasource"

api/core/ops/ops_trace_manager.py

@@ -15,22 +15,32 @@ from sqlalchemy import select
 from sqlalchemy.orm import Session, sessionmaker
 
 from core.helper.encrypter import batch_decrypt_token, encrypt_token, obfuscated_token
-from core.ops.entities.config_entity import OPS_FILE_PATH, TracingProviderEnum
+from core.ops.entities.config_entity import (
+    OPS_FILE_PATH,
+    TracingProviderEnum,
+)
 from core.ops.entities.trace_entity import (
     DatasetRetrievalTraceInfo,
+    DraftNodeExecutionTrace,
     GenerateNameTraceInfo,
     MessageTraceInfo,
     ModerationTraceInfo,
+    PromptGenerationTraceInfo,
     SuggestedQuestionTraceInfo,
     TaskData,
     ToolTraceInfo,
     TraceTaskName,
+    WorkflowNodeTraceInfo,
     WorkflowTraceInfo,
 )
 from core.ops.utils import get_message_data
+from extensions.ext_database import db
 from extensions.ext_storage import storage
-from models.engine import db
+from models.account import Tenant
+from models.dataset import Dataset
 from models.model import App, AppModelConfig, Conversation, Message, MessageFile, TraceAppConfig
+from models.provider import Provider, ProviderCredential, ProviderModel, ProviderModelCredential, ProviderType
+from models.tools import ApiToolProvider, BuiltinToolProvider, MCPToolProvider, WorkflowToolProvider
 from models.workflow import WorkflowAppLog
 from tasks.ops_trace_task import process_trace_tasks
 
@@ -40,9 +50,144 @@ if TYPE_CHECKING:
 logger = logging.getLogger(__name__)
 
 
+def _lookup_app_and_workspace_names(app_id: str | None, tenant_id: str | None) -> tuple[str, str]:
+    """Return (app_name, workspace_name) for the given IDs. Falls back to empty strings."""
+    app_name = ""
+    workspace_name = ""
+    if not app_id and not tenant_id:
+        return app_name, workspace_name
+    with Session(db.engine) as session:
+        if app_id:
+            name = session.scalar(select(App.name).where(App.id == app_id))
+            if name:
+                app_name = name
+        if tenant_id:
+            name = session.scalar(select(Tenant.name).where(Tenant.id == tenant_id))
+            if name:
+                workspace_name = name
+    return app_name, workspace_name
+
+
+_PROVIDER_TYPE_TO_MODEL: dict[str, type] = {
+    "builtin": BuiltinToolProvider,
+    "plugin": BuiltinToolProvider,
+    "api": ApiToolProvider,
+    "workflow": WorkflowToolProvider,
+    "mcp": MCPToolProvider,
+}
+
+
+def _lookup_credential_name(credential_id: str | None, provider_type: str | None) -> str:
+    if not credential_id:
+        return ""
+    model_cls = _PROVIDER_TYPE_TO_MODEL.get(provider_type or "")
+    if not model_cls:
+        return ""
+    with Session(db.engine) as session:
+        name = session.scalar(select(model_cls.name).where(model_cls.id == credential_id))  # type: ignore[attr-defined]
+        return str(name) if name else ""
+
+
+def _lookup_llm_credential_info(
+    tenant_id: str | None, provider: str | None, model: str | None, model_type: str | None = "llm"
+) -> tuple[str | None, str]:
+    """
+    Lookup LLM credential ID and name for the given provider and model.
+    Returns (credential_id, credential_name).
+
+    Handles async timing issues gracefully - if credential is deleted between lookups,
+    returns the ID but empty name rather than failing.
+    """
+    if not tenant_id or not provider:
+        return None, ""
+
+    try:
+        with Session(db.engine) as session:
+            # Try to find provider-level or model-level configuration
+            provider_record = session.scalar(
+                select(Provider).where(
+                    Provider.tenant_id == tenant_id,
+                    Provider.provider_name == provider,
+                    Provider.provider_type == ProviderType.CUSTOM,
+                )
+            )
+
+            if not provider_record:
+                return None, ""
+
+            # Check if there's a model-specific config
+            credential_id = None
+            credential_name = ""
+            is_model_level = False
+
+            if model:
+                # Try model-level first
+                model_record = session.scalar(
+                    select(ProviderModel).where(
+                        ProviderModel.tenant_id == tenant_id,
+                        ProviderModel.provider_name == provider,
+                        ProviderModel.model_name == model,
+                        ProviderModel.model_type == model_type,
+                    )
+                )
+
+                if model_record and model_record.credential_id:
+                    credential_id = model_record.credential_id
+                    is_model_level = True
+
+            if not credential_id and provider_record.credential_id:
+                # Fall back to provider-level credential
+                credential_id = provider_record.credential_id
+                is_model_level = False
+
+            # Lookup credential_name if we have credential_id
+            if credential_id:
+                try:
+                    if is_model_level:
+                        # Query ProviderModelCredential
+                        cred_name = session.scalar(
+                            select(ProviderModelCredential.credential_name).where(
+                                ProviderModelCredential.id == credential_id
+                            )
+                        )
+                    else:
+                        # Query ProviderCredential
+                        cred_name = session.scalar(
+                            select(ProviderCredential.credential_name).where(ProviderCredential.id == credential_id)
+                        )
+
+                    if cred_name:
+                        credential_name = str(cred_name)
+                except Exception as e:
+                    # Credential might have been deleted between lookups (async timing)
+                    # Return ID but empty name rather than failing
+                    logger.warning(
+                        "Failed to lookup credential name for credential_id=%s (provider=%s, model=%s): %s",
+                        credential_id,
+                        provider,
+                        model,
+                        str(e),
+                        exc_info=True,
+                    )
+
+            return credential_id, credential_name
+    except Exception as e:
+        # Database query failed or other unexpected error
+        # Return empty rather than propagating error to telemetry emission
+        logger.warning(
+            "Failed to lookup LLM credential info for tenant_id=%s, provider=%s, model=%s: %s",
+            tenant_id,
+            provider,
+            model,
+            str(e),
+            exc_info=True,
+        )
+        return None, ""
+
+
 class OpsTraceProviderConfigMap(collections.UserDict[str, dict[str, Any]]):
-    def __getitem__(self, key: str) -> dict[str, Any]:
-        match key:
+    def __getitem__(self, provider: str) -> dict[str, Any]:
+        match provider:
             case TracingProviderEnum.LANGFUSE:
                 from core.ops.entities.config_entity import LangfuseConfig
                 from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
@@ -149,7 +294,7 @@ class OpsTraceProviderConfigMap(collections.UserDict[str, dict[str, Any]]):
                 }
 
             case _:
-                raise KeyError(f"Unsupported tracing provider: {key}")
+                raise KeyError(f"Unsupported tracing provider: {provider}")
 
 
 provider_config_map = OpsTraceProviderConfigMap()
@@ -314,6 +459,10 @@ class OpsTraceManager:
         if app_id is None:
             return None
 
+        # Handle storage_id format (tenant-{uuid}) - not a real app_id
+        if isinstance(app_id, str) and app_id.startswith("tenant-"):
+            return None
+
         app: App | None = db.session.query(App).where(App.id == app_id).first()
 
         if app is None:
@@ -466,8 +615,6 @@ class TraceTask:
 
     @classmethod
     def _get_workflow_run_repo(cls):
-        from repositories.factory import DifyAPIRepositoryFactory
-
         if cls._workflow_run_repo is None:
             with cls._repo_lock:
                 if cls._workflow_run_repo is None:
@@ -478,6 +625,77 @@ class TraceTask:
                     cls._workflow_run_repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
         return cls._workflow_run_repo
 
+    @classmethod
+    def _calculate_workflow_token_split(
+        cls, session: "Session", workflow_run_id: str, tenant_id: str
+    ) -> tuple[int, int]:
+        """Sum prompt/completion tokens across all node executions for a workflow run.
+
+        Reads from the ``outputs`` column (where LLM nodes store ``usage.prompt_tokens``
+        and ``usage.completion_tokens``) rather than ``execution_metadata``, which only
+        carries ``total_tokens``.  Projects only the ``outputs`` column to avoid loading
+        large JSON blobs unnecessarily.
+        """
+        import json
+
+        from models.workflow import WorkflowNodeExecutionModel
+
+        rows = (
+            session.execute(
+                select(WorkflowNodeExecutionModel.outputs).where(
+                    WorkflowNodeExecutionModel.tenant_id == tenant_id,
+                    WorkflowNodeExecutionModel.workflow_run_id == workflow_run_id,
+                )
+            )
+            .scalars()
+            .all()
+        )
+
+        total_prompt = 0
+        total_completion = 0
+
+        for raw in rows:
+            if not raw:
+                continue
+            try:
+                outputs = json.loads(raw) if isinstance(raw, str) else raw
+            except (ValueError, TypeError):
+                continue
+            if not isinstance(outputs, dict):
+                continue
+            usage = outputs.get("usage")
+            if not isinstance(usage, dict):
+                continue
+            prompt = usage.get("prompt_tokens")
+            if isinstance(prompt, (int, float)):
+                total_prompt += int(prompt)
+            completion = usage.get("completion_tokens")
+            if isinstance(completion, (int, float)):
+                total_completion += int(completion)
+
+        return (total_prompt, total_completion)
+
+    @classmethod
+    def _get_user_id_from_metadata(cls, metadata: dict[str, Any]) -> str:
+        """Extract user ID from metadata, prioritizing end_user over account.
+
+        Returns the actual user ID (end_user or account) who invoked the workflow,
+        regardless of invoke_from context.
+        """
+        # Priority 1: End user (external users via API/WebApp)
+        if user_id := metadata.get("from_end_user_id"):
+            return f"end_user:{user_id}"
+
+        # Priority 2: Account user (internal users via console/debugger)
+        if user_id := metadata.get("from_account_id"):
+            return f"account:{user_id}"
+
+        # Priority 3: User (internal users via console/debugger)
+        if user_id := metadata.get("user_id"):
+            return f"user:{user_id}"
+
+        return "anonymous"
+
     def __init__(
         self,
         trace_type: Any,
@@ -491,6 +709,7 @@ class TraceTask:
         self.trace_type = trace_type
         self.message_id = message_id
         self.workflow_run_id = workflow_execution.id_ if workflow_execution else None
+        self.workflow_total_tokens: int | None = workflow_execution.total_tokens if workflow_execution else None
         self.conversation_id = conversation_id
         self.user_id = user_id
         self.timer = timer
@@ -498,6 +717,8 @@ class TraceTask:
         self.app_id = None
         self.trace_id = None
         self.kwargs = kwargs
+        if user_id is not None and "user_id" not in self.kwargs:
+            self.kwargs["user_id"] = user_id
         external_trace_id = kwargs.get("external_trace_id")
         if external_trace_id:
             self.trace_id = external_trace_id
@@ -509,9 +730,12 @@ class TraceTask:
         preprocess_map = {
             TraceTaskName.CONVERSATION_TRACE: lambda: self.conversation_trace(**self.kwargs),
             TraceTaskName.WORKFLOW_TRACE: lambda: self.workflow_trace(
-                workflow_run_id=self.workflow_run_id, conversation_id=self.conversation_id, user_id=self.user_id
+                workflow_run_id=self.workflow_run_id,
+                conversation_id=self.conversation_id,
+                user_id=self.user_id,
+                total_tokens_override=self.workflow_total_tokens,
             ),
-            TraceTaskName.MESSAGE_TRACE: lambda: self.message_trace(message_id=self.message_id),
+            TraceTaskName.MESSAGE_TRACE: lambda: self.message_trace(message_id=self.message_id, **self.kwargs),
             TraceTaskName.MODERATION_TRACE: lambda: self.moderation_trace(
                 message_id=self.message_id, timer=self.timer, **self.kwargs
             ),
@@ -527,6 +751,9 @@ class TraceTask:
             TraceTaskName.GENERATE_NAME_TRACE: lambda: self.generate_name_trace(
                 conversation_id=self.conversation_id, timer=self.timer, **self.kwargs
             ),
+            TraceTaskName.PROMPT_GENERATION_TRACE: lambda: self.prompt_generation_trace(**self.kwargs),
+            TraceTaskName.NODE_EXECUTION_TRACE: lambda: self.node_execution_trace(**self.kwargs),
+            TraceTaskName.DRAFT_NODE_EXECUTION_TRACE: lambda: self.draft_node_execution_trace(**self.kwargs),
         }
 
         return preprocess_map.get(self.trace_type, lambda: None)()
@@ -541,6 +768,7 @@ class TraceTask:
         workflow_run_id: str | None,
         conversation_id: str | None,
         user_id: str | None,
+        total_tokens_override: int | None = None,
     ):
         if not workflow_run_id:
             return {}
@@ -560,7 +788,7 @@ class TraceTask:
         workflow_run_version = workflow_run.version
         error = workflow_run.error or ""
 
-        total_tokens = workflow_run.total_tokens
+        total_tokens = total_tokens_override if total_tokens_override is not None else workflow_run.total_tokens
 
         file_list = workflow_run_inputs.get("sys.file") or []
         query = workflow_run_inputs.get("query") or workflow_run_inputs.get("sys.query") or ""
@@ -581,8 +809,18 @@ class TraceTask:
                     Message.workflow_run_id == workflow_run_id,
                 )
                 message_id = session.scalar(message_data_stmt)
+            prompt_tokens, completion_tokens = self._calculate_workflow_token_split(
+                session, workflow_run_id=workflow_run_id, tenant_id=tenant_id
+            )
 
-        metadata = {
+        from core.telemetry.gateway import is_enterprise_telemetry_enabled
+
+        if is_enterprise_telemetry_enabled():
+            app_name, workspace_name = _lookup_app_and_workspace_names(workflow_run.app_id, tenant_id)
+        else:
+            app_name, workspace_name = "", ""
+
+        metadata: dict[str, Any] = {
             "workflow_id": workflow_id,
             "conversation_id": conversation_id,
             "workflow_run_id": workflow_run_id,
@@ -595,8 +833,14 @@ class TraceTask:
             "triggered_from": workflow_run.triggered_from,
             "user_id": user_id,
             "app_id": workflow_run.app_id,
+            "app_name": app_name,
+            "workspace_name": workspace_name,
         }
 
+        parent_trace_context = self.kwargs.get("parent_trace_context")
+        if parent_trace_context:
+            metadata["parent_trace_context"] = parent_trace_context
+
         workflow_trace_info = WorkflowTraceInfo(
             trace_id=self.trace_id,
             workflow_data=workflow_run.to_dict(),
@@ -611,6 +855,8 @@ class TraceTask:
             workflow_run_version=workflow_run_version,
             error=error,
             total_tokens=total_tokens,
+            prompt_tokens=prompt_tokens,
+            completion_tokens=completion_tokens,
             file_list=file_list,
             query=query,
             metadata=metadata,
@@ -618,10 +864,11 @@ class TraceTask:
             message_id=message_id,
             start_time=workflow_run.created_at,
             end_time=workflow_run.finished_at,
+            invoked_by=self._get_user_id_from_metadata(metadata),
         )
         return workflow_trace_info
 
-    def message_trace(self, message_id: str | None):
+    def message_trace(self, message_id: str | None, **kwargs):
         if not message_id:
             return {}
         message_data = get_message_data(message_id)
@@ -644,6 +891,19 @@ class TraceTask:
 
         streaming_metrics = self._extract_streaming_metrics(message_data)
 
+        tenant_id = ""
+        with Session(db.engine) as session:
+            tid = session.scalar(select(App.tenant_id).where(App.id == message_data.app_id))
+            if tid:
+                tenant_id = str(tid)
+
+        from core.telemetry.gateway import is_enterprise_telemetry_enabled
+
+        if is_enterprise_telemetry_enabled():
+            app_name, workspace_name = _lookup_app_and_workspace_names(message_data.app_id, tenant_id)
+        else:
+            app_name, workspace_name = "", ""
+
         metadata = {
             "conversation_id": message_data.conversation_id,
             "ls_provider": message_data.model_provider,
@@ -655,7 +915,14 @@ class TraceTask:
             "workflow_run_id": message_data.workflow_run_id,
             "from_source": message_data.from_source,
             "message_id": message_id,
+            "tenant_id": tenant_id,
+            "app_id": message_data.app_id,
+            "user_id": message_data.from_end_user_id or message_data.from_account_id,
+            "app_name": app_name,
+            "workspace_name": workspace_name,
         }
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
 
         message_tokens = message_data.message_tokens
 
@@ -672,7 +939,9 @@ class TraceTask:
             outputs=message_data.answer,
             file_list=file_list,
             start_time=created_at,
-            end_time=created_at + timedelta(seconds=message_data.provider_response_latency),
+            end_time=message_data.updated_at
+            if message_data.updated_at and message_data.updated_at > created_at
+            else created_at + timedelta(seconds=message_data.provider_response_latency),
             metadata=metadata,
             message_file_data=message_file_data,
             conversation_mode=conversation_mode,
@@ -697,6 +966,8 @@ class TraceTask:
             "preset_response": moderation_result.preset_response,
             "query": moderation_result.query,
         }
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
 
         # get workflow_app_log_id
         workflow_app_log_id = None
@@ -738,6 +1009,8 @@ class TraceTask:
             "workflow_run_id": message_data.workflow_run_id,
             "from_source": message_data.from_source,
         }
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
 
         # get workflow_app_log_id
         workflow_app_log_id = None
@@ -777,6 +1050,52 @@ class TraceTask:
         if not message_data:
             return {}
 
+        tenant_id = ""
+        with Session(db.engine) as session:
+            tid = session.scalar(select(App.tenant_id).where(App.id == message_data.app_id))
+            if tid:
+                tenant_id = str(tid)
+
+        from core.telemetry.gateway import is_enterprise_telemetry_enabled
+
+        if is_enterprise_telemetry_enabled():
+            app_name, workspace_name = _lookup_app_and_workspace_names(message_data.app_id, tenant_id)
+        else:
+            app_name, workspace_name = "", ""
+
+        doc_list = [doc.model_dump() for doc in documents] if documents else []
+        dataset_ids: set[str] = set()
+        for doc in doc_list:
+            doc_meta = doc.get("metadata") or {}
+            did = doc_meta.get("dataset_id")
+            if did:
+                dataset_ids.add(did)
+
+        embedding_models: dict[str, dict[str, str]] = {}
+        if dataset_ids:
+            with Session(db.engine) as session:
+                rows = session.execute(
+                    select(Dataset.id, Dataset.embedding_model, Dataset.embedding_model_provider).where(
+                        Dataset.id.in_(list(dataset_ids))
+                    )
+                ).all()
+                for row in rows:
+                    embedding_models[str(row[0])] = {
+                        "embedding_model": row[1] or "",
+                        "embedding_model_provider": row[2] or "",
+                    }
+
+        # Extract rerank model info from retrieval_model kwargs
+        rerank_model_provider = ""
+        rerank_model_name = ""
+        if "retrieval_model" in kwargs:
+            retrieval_model = kwargs["retrieval_model"]
+            if isinstance(retrieval_model, dict):
+                reranking_model = retrieval_model.get("reranking_model")
+                if isinstance(reranking_model, dict):
+                    rerank_model_provider = reranking_model.get("reranking_provider_name", "")
+                    rerank_model_name = reranking_model.get("reranking_model_name", "")
+
         metadata = {
             "message_id": message_id,
             "ls_provider": message_data.model_provider,
@@ -787,13 +1106,23 @@ class TraceTask:
             "agent_based": message_data.agent_based,
             "workflow_run_id": message_data.workflow_run_id,
             "from_source": message_data.from_source,
+            "tenant_id": tenant_id,
+            "app_id": message_data.app_id,
+            "user_id": message_data.from_end_user_id or message_data.from_account_id,
+            "app_name": app_name,
+            "workspace_name": workspace_name,
+            "embedding_models": embedding_models,
+            "rerank_model_provider": rerank_model_provider,
+            "rerank_model_name": rerank_model_name,
         }
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
 
         dataset_retrieval_trace_info = DatasetRetrievalTraceInfo(
             trace_id=self.trace_id,
             message_id=message_id,
             inputs=message_data.query or message_data.inputs,
-            documents=[doc.model_dump() for doc in documents] if documents else [],
+            documents=doc_list,
             start_time=timer.get("start"),
             end_time=timer.get("end"),
             metadata=metadata,
@@ -836,6 +1165,10 @@ class TraceTask:
             "error": error,
             "tool_parameters": tool_parameters,
         }
+        if message_data.workflow_run_id:
+            metadata["workflow_run_id"] = message_data.workflow_run_id
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
 
         file_url = ""
         message_file_data = db.session.query(MessageFile).filter_by(message_id=message_id).first()
@@ -890,6 +1223,8 @@ class TraceTask:
             "conversation_id": conversation_id,
             "tenant_id": tenant_id,
         }
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
 
         generate_name_trace_info = GenerateNameTraceInfo(
             trace_id=self.trace_id,
@@ -904,6 +1239,182 @@ class TraceTask:
 
         return generate_name_trace_info
 
+    def prompt_generation_trace(self, **kwargs) -> PromptGenerationTraceInfo | dict:
+        tenant_id = kwargs.get("tenant_id", "")
+        user_id = kwargs.get("user_id", "")
+        app_id = kwargs.get("app_id")
+        operation_type = kwargs.get("operation_type", "")
+        instruction = kwargs.get("instruction", "")
+        generated_output = kwargs.get("generated_output", "")
+
+        prompt_tokens = kwargs.get("prompt_tokens", 0)
+        completion_tokens = kwargs.get("completion_tokens", 0)
+        total_tokens = kwargs.get("total_tokens", 0)
+
+        model_provider = kwargs.get("model_provider", "")
+        model_name = kwargs.get("model_name", "")
+
+        latency = kwargs.get("latency", 0.0)
+
+        timer = kwargs.get("timer")
+        start_time = timer.get("start") if timer else None
+        end_time = timer.get("end") if timer else None
+
+        total_price = kwargs.get("total_price")
+        currency = kwargs.get("currency")
+
+        error = kwargs.get("error")
+
+        app_name = None
+        workspace_name = None
+        if app_id:
+            app_name, workspace_name = _lookup_app_and_workspace_names(app_id, tenant_id)
+
+        metadata = {
+            "tenant_id": tenant_id,
+            "user_id": user_id,
+            "app_id": app_id or "",
+            "app_name": app_name,
+            "workspace_name": workspace_name,
+            "operation_type": operation_type,
+            "model_provider": model_provider,
+            "model_name": model_name,
+        }
+        if node_execution_id := kwargs.get("node_execution_id"):
+            metadata["node_execution_id"] = node_execution_id
+
+        return PromptGenerationTraceInfo(
+            trace_id=self.trace_id,
+            inputs=instruction,
+            outputs=generated_output,
+            start_time=start_time,
+            end_time=end_time,
+            metadata=metadata,
+            tenant_id=tenant_id,
+            user_id=user_id,
+            app_id=app_id,
+            operation_type=operation_type,
+            instruction=instruction,
+            prompt_tokens=prompt_tokens,
+            completion_tokens=completion_tokens,
+            total_tokens=total_tokens,
+            model_provider=model_provider,
+            model_name=model_name,
+            latency=latency,
+            total_price=total_price,
+            currency=currency,
+            error=error,
+        )
+
+    def node_execution_trace(self, **kwargs) -> WorkflowNodeTraceInfo | dict:
+        node_data: dict = kwargs.get("node_execution_data", {})
+        if not node_data:
+            return {}
+
+        from core.telemetry.gateway import is_enterprise_telemetry_enabled
+
+        if is_enterprise_telemetry_enabled():
+            app_name, workspace_name = _lookup_app_and_workspace_names(
+                node_data.get("app_id"), node_data.get("tenant_id")
+            )
+        else:
+            app_name, workspace_name = "", ""
+
+        # Try tool credential lookup first
+        credential_id = node_data.get("credential_id")
+        if is_enterprise_telemetry_enabled():
+            credential_name = _lookup_credential_name(credential_id, node_data.get("credential_provider_type"))
+            # If no credential_id found (e.g., LLM nodes), try LLM credential lookup
+            if not credential_id:
+                llm_cred_id, llm_cred_name = _lookup_llm_credential_info(
+                    tenant_id=node_data.get("tenant_id"),
+                    provider=node_data.get("model_provider"),
+                    model=node_data.get("model_name"),
+                    model_type="llm",
+                )
+                if llm_cred_id:
+                    credential_id = llm_cred_id
+                    credential_name = llm_cred_name
+        else:
+            credential_name = ""
+        metadata: dict[str, Any] = {
+            "tenant_id": node_data.get("tenant_id"),
+            "app_id": node_data.get("app_id"),
+            "app_name": app_name,
+            "workspace_name": workspace_name,
+            "user_id": node_data.get("user_id"),
+            "invoke_from": node_data.get("invoke_from"),
+            "credential_id": credential_id,
+            "credential_name": credential_name,
+            "dataset_ids": node_data.get("dataset_ids"),
+            "dataset_names": node_data.get("dataset_names"),
+            "plugin_name": node_data.get("plugin_name"),
+        }
+
+        parent_trace_context = node_data.get("parent_trace_context")
+        if parent_trace_context:
+            metadata["parent_trace_context"] = parent_trace_context
+
+        message_id: str | None = None
+        conversation_id = node_data.get("conversation_id")
+        workflow_execution_id = node_data.get("workflow_execution_id")
+        if conversation_id and workflow_execution_id and not parent_trace_context:
+            with Session(db.engine) as session:
+                msg_id = session.scalar(
+                    select(Message.id).where(
+                        Message.conversation_id == conversation_id,
+                        Message.workflow_run_id == workflow_execution_id,
+                    )
+                )
+                if msg_id:
+                    message_id = str(msg_id)
+                    metadata["message_id"] = message_id
+            if conversation_id:
+                metadata["conversation_id"] = conversation_id
+
+        return WorkflowNodeTraceInfo(
+            trace_id=self.trace_id,
+            message_id=message_id,
+            start_time=node_data.get("created_at"),
+            end_time=node_data.get("finished_at"),
+            metadata=metadata,
+            workflow_id=node_data.get("workflow_id", ""),
+            workflow_run_id=node_data.get("workflow_execution_id", ""),
+            tenant_id=node_data.get("tenant_id", ""),
+            node_execution_id=node_data.get("node_execution_id", ""),
+            node_id=node_data.get("node_id", ""),
+            node_type=node_data.get("node_type", ""),
+            title=node_data.get("title", ""),
+            status=node_data.get("status", ""),
+            error=node_data.get("error"),
+            elapsed_time=node_data.get("elapsed_time", 0.0),
+            index=node_data.get("index", 0),
+            predecessor_node_id=node_data.get("predecessor_node_id"),
+            total_tokens=node_data.get("total_tokens", 0),
+            total_price=node_data.get("total_price", 0.0),
+            currency=node_data.get("currency"),
+            model_provider=node_data.get("model_provider"),
+            model_name=node_data.get("model_name"),
+            prompt_tokens=node_data.get("prompt_tokens"),
+            completion_tokens=node_data.get("completion_tokens"),
+            tool_name=node_data.get("tool_name"),
+            iteration_id=node_data.get("iteration_id"),
+            iteration_index=node_data.get("iteration_index"),
+            loop_id=node_data.get("loop_id"),
+            loop_index=node_data.get("loop_index"),
+            parallel_id=node_data.get("parallel_id"),
+            node_inputs=node_data.get("node_inputs"),
+            node_outputs=node_data.get("node_outputs"),
+            process_data=node_data.get("process_data"),
+            invoked_by=self._get_user_id_from_metadata(metadata),
+        )
+
+    def draft_node_execution_trace(self, **kwargs) -> DraftNodeExecutionTrace | dict:
+        node_trace = self.node_execution_trace(**kwargs)
+        if not isinstance(node_trace, WorkflowNodeTraceInfo):
+            return node_trace
+        return DraftNodeExecutionTrace(**node_trace.model_dump())
+
     def _extract_streaming_metrics(self, message_data) -> dict:
         if not message_data.message_metadata:
             return {}
@@ -937,13 +1448,17 @@ class TraceQueueManager:
         self.user_id = user_id
         self.trace_instance = OpsTraceManager.get_ops_trace_instance(app_id)
         self.flask_app = current_app._get_current_object()  # type: ignore
+
+        from core.telemetry.gateway import is_enterprise_telemetry_enabled
+
+        self._enterprise_telemetry_enabled = is_enterprise_telemetry_enabled()
         if trace_manager_timer is None:
             self.start_timer()
 
     def add_trace_task(self, trace_task: TraceTask):
         global trace_manager_timer, trace_manager_queue
         try:
-            if self.trace_instance:
+            if self._enterprise_telemetry_enabled or self.trace_instance:
                 trace_task.app_id = self.app_id
                 trace_manager_queue.put(trace_task)
         except Exception:
@@ -979,20 +1494,27 @@ class TraceQueueManager:
     def send_to_celery(self, tasks: list[TraceTask]):
         with self.flask_app.app_context():
             for task in tasks:
-                if task.app_id is None:
-                    continue
+                storage_id = task.app_id
+                if storage_id is None:
+                    tenant_id = task.kwargs.get("tenant_id")
+                    if tenant_id:
+                        storage_id = f"tenant-{tenant_id}"
+                    else:
+                        logger.warning("Skipping trace without app_id or tenant_id, trace_type: %s", task.trace_type)
+                        continue
+
                 file_id = uuid4().hex
                 trace_info = task.execute()
 
                 task_data = TaskData(
-                    app_id=task.app_id,
+                    app_id=storage_id,
                     trace_info_type=type(trace_info).__name__,
                     trace_info=trace_info.model_dump() if trace_info else None,
                 )
-                file_path = f"{OPS_FILE_PATH}{task.app_id}/{file_id}.json"
+                file_path = f"{OPS_FILE_PATH}{storage_id}/{file_id}.json"
                 storage.save(file_path, task_data.model_dump_json().encode("utf-8"))
                 file_info = {
                     "file_id": file_id,
-                    "app_id": task.app_id,
+                    "app_id": storage_id,
                 }
                 process_trace_tasks.delay(file_info)  # type: ignore

api/core/plugin/impl/plugin.py

@@ -209,7 +209,10 @@ class PluginInstaller(BasePluginClient):
             "GET",
             f"plugin/{tenant_id}/management/decode/from_identifier",
             PluginDecodeResponse,
-            params={"plugin_unique_identifier": plugin_unique_identifier},
+            params={
+                "plugin_unique_identifier": plugin_unique_identifier,
+                "PluginUniqueIdentifier": plugin_unique_identifier,  # compat with daemon <= 0.5.4
+            },
         )
 
     def fetch_plugin_installation_by_ids(

api/core/provider_manager.py

@@ -56,12 +56,37 @@ from services.feature_service import FeatureService
 
 class ProviderManager:
     """
-    ProviderManager is a class that manages the model providers includes Hosting and Customize Model Providers.
+    ProviderManager manages tenant-scoped model provider configuration.
+
+    The runtime adapter is injected by the composition layer so this class stays
+    focused on configuration assembly instead of constructing plugin runtimes.
+    Request-bound managers may carry caller identity in that runtime, and the
+    resulting ``ProviderConfiguration`` objects must reuse it for downstream
+    model-type and schema lookups.
+
+    Configuration assembly is cached per manager instance so call chains that
+    share one request-scoped manager can reuse the same provider graph instead
+    of rebuilding it for every lookup. Call ``clear_configurations_cache()``
+    when a long-lived manager needs to observe writes performed within the same
+    instance scope.
     """
 
+    decoding_rsa_key: Any | None
+    decoding_cipher_rsa: Any | None
+    _configurations_cache: dict[str, ProviderConfigurations]
+
     def __init__(self):
         self.decoding_rsa_key = None
         self.decoding_cipher_rsa = None
+        self._configurations_cache = {}
+
+    def clear_configurations_cache(self, tenant_id: str | None = None) -> None:
+        """Drop assembled provider configurations cached on this manager instance."""
+        if tenant_id is None:
+            self._configurations_cache.clear()
+            return
+
+        self._configurations_cache.pop(tenant_id, None)
 
     def get_configurations(self, tenant_id: str) -> ProviderConfigurations:
         """
@@ -100,6 +125,10 @@ class ProviderManager:
         :param tenant_id:
         :return:
         """
+        cached_configurations = self._configurations_cache.get(tenant_id)
+        if cached_configurations is not None:
+            return cached_configurations
+
         # Get all provider records of the workspace
         provider_name_to_provider_records_dict = self._get_all_providers(tenant_id)
 
@@ -258,6 +287,8 @@ class ProviderManager:
 
             provider_configurations[str(provider_id_entity)] = provider_configuration
 
+        self._configurations_cache[tenant_id] = provider_configurations
+
         # Return the encapsulated object
         return provider_configurations
 

api/core/rag/datasource/retrieval_service.py

@@ -22,7 +22,7 @@ from core.rag.index_processor.constant.query_type import QueryType
 from core.rag.models.document import Document
 from core.rag.rerank.rerank_type import RerankMode
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
-from core.tools.signature import sign_upload_file
+from core.tools.signature import sign_upload_file_preview_url
 from dify_graph.model_runtime.entities.model_entities import ModelType
 from extensions.ext_database import db
 from models.dataset import (
@@ -864,7 +864,7 @@ class RetrievalService:
                     "name": upload_file.name,
                     "extension": "." + upload_file.extension,
                     "mime_type": upload_file.mime_type,
-                    "source_url": sign_upload_file(upload_file.id, upload_file.extension),
+                    "source_url": sign_upload_file_preview_url(upload_file.id, upload_file.extension),
                     "size": upload_file.size,
                 }
                 return {"attachment_info": attachment_info, "segment_id": attachment_binding.segment_id}
@@ -893,7 +893,7 @@ class RetrievalService:
                         "name": upload_file.name,
                         "extension": "." + upload_file.extension,
                         "mime_type": upload_file.mime_type,
-                        "source_url": sign_upload_file(upload_file.id, upload_file.extension),
+                        "source_url": sign_upload_file_preview_url(upload_file.id, upload_file.extension),
                         "size": upload_file.size,
                     }
                     if attachment_binding:

api/core/rag/extractor/pdf_extractor.py

@@ -115,7 +115,7 @@ class PdfExtractor(BaseExtractor):
         """
         image_content = []
         upload_files = []
-        base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
+        base_url = dify_config.FILES_URL
 
         try:
             image_objects = page.get_objects(filter=(pdfium_c.FPDF_PAGEOBJ_IMAGE,))

api/core/rag/extractor/word_extractor.py

@@ -88,7 +88,7 @@ class WordExtractor(BaseExtractor):
     def _extract_images_from_docx(self, doc):
         image_count = 0
         image_map = {}
-        base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
+        base_url = dify_config.FILES_URL
 
         for r_id, rel in doc.part.rels.items():
             if "image" in rel.target_ref:

api/core/rag/retrieval/dataset_retrieval.py

@@ -54,7 +54,7 @@ from core.rag.retrieval.template_prompts import (
     METADATA_FILTER_USER_PROMPT_2,
     METADATA_FILTER_USER_PROMPT_3,
 )
-from core.tools.signature import sign_upload_file
+from core.tools.signature import sign_upload_file_preview_url
 from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
 from core.workflow.nodes.knowledge_retrieval import exc
 from core.workflow.nodes.knowledge_retrieval.retrieval import (
@@ -524,7 +524,7 @@ class DatasetRetrieval:
                                     related_id=upload_file.id,
                                     size=upload_file.size,
                                     storage_key=upload_file.key,
-                                    url=sign_upload_file(upload_file.id, upload_file.extension),
+                                    url=sign_upload_file_preview_url(upload_file.id, upload_file.extension),
                                 )
                                 context_files.append(attachment_info)
                 if show_retrieve_source:

api/core/telemetry/__init__.py

@@ -0,0 +1,43 @@
+"""Telemetry facade.
+
+Thin public API for emitting telemetry events.  All routing logic
+lives in ``core.telemetry.gateway`` which is shared by both CE and EE.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from core.ops.entities.trace_entity import TraceTaskName
+from core.telemetry.events import TelemetryContext, TelemetryEvent
+from core.telemetry.gateway import emit as gateway_emit
+from core.telemetry.gateway import get_trace_task_to_case
+
+if TYPE_CHECKING:
+    from core.ops.ops_trace_manager import TraceQueueManager
+
+
+def emit(event: TelemetryEvent, trace_manager: TraceQueueManager | None = None) -> None:
+    """Emit a telemetry event.
+
+    Translates the ``TelemetryEvent`` (keyed by ``TraceTaskName``) into a
+    ``TelemetryCase`` and delegates to ``core.telemetry.gateway.emit()``.
+    """
+    case = get_trace_task_to_case().get(event.name)
+    if case is None:
+        return
+
+    context: dict[str, object] = {
+        "tenant_id": event.context.tenant_id,
+        "user_id": event.context.user_id,
+        "app_id": event.context.app_id,
+    }
+    gateway_emit(case, context, event.payload, trace_manager)
+
+
+__all__ = [
+    "TelemetryContext",
+    "TelemetryEvent",
+    "TraceTaskName",
+    "emit",
+]

api/core/telemetry/events.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:
+    from core.ops.entities.trace_entity import TraceTaskName
+
+
+@dataclass(frozen=True)
+class TelemetryContext:
+    tenant_id: str | None = None
+    user_id: str | None = None
+    app_id: str | None = None
+
+
+@dataclass(frozen=True)
+class TelemetryEvent:
+    name: TraceTaskName
+    context: TelemetryContext
+    payload: dict[str, Any]

api/core/telemetry/gateway.py

@@ -0,0 +1,239 @@
+"""Telemetry gateway — single routing layer for all editions.
+
+Maps ``TelemetryCase`` → ``CaseRoute`` and dispatches events to either
+the CE/EE trace pipeline (``TraceQueueManager``) or the enterprise-only
+metric/log Celery queue.
+
+This module lives in ``core/`` so both CE and EE share one routing table
+and one ``emit()`` entry point.  No separate enterprise gateway module is
+needed — enterprise-specific dispatch (Celery task, payload offloading)
+is handled here behind lazy imports that no-op in CE.
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+import uuid
+from typing import TYPE_CHECKING, Any
+
+from core.ops.entities.trace_entity import TraceTaskName
+from enterprise.telemetry.contracts import CaseRoute, SignalType
+from extensions.ext_storage import storage
+
+if TYPE_CHECKING:
+    from core.ops.ops_trace_manager import TraceQueueManager
+    from enterprise.telemetry.contracts import TelemetryCase
+
+logger = logging.getLogger(__name__)
+
+PAYLOAD_SIZE_THRESHOLD_BYTES = 1 * 1024 * 1024
+
+# ---------------------------------------------------------------------------
+# Routing table — authoritative mapping for all editions
+# ---------------------------------------------------------------------------
+
+_case_to_trace_task: dict[TelemetryCase, TraceTaskName] | None = None
+_case_routing: dict[TelemetryCase, CaseRoute] | None = None
+
+
+def _get_case_to_trace_task() -> dict[TelemetryCase, TraceTaskName]:
+    global _case_to_trace_task
+    if _case_to_trace_task is None:
+        from enterprise.telemetry.contracts import TelemetryCase
+
+        _case_to_trace_task = {
+            TelemetryCase.WORKFLOW_RUN: TraceTaskName.WORKFLOW_TRACE,
+            TelemetryCase.MESSAGE_RUN: TraceTaskName.MESSAGE_TRACE,
+            TelemetryCase.NODE_EXECUTION: TraceTaskName.NODE_EXECUTION_TRACE,
+            TelemetryCase.DRAFT_NODE_EXECUTION: TraceTaskName.DRAFT_NODE_EXECUTION_TRACE,
+            TelemetryCase.PROMPT_GENERATION: TraceTaskName.PROMPT_GENERATION_TRACE,
+            TelemetryCase.TOOL_EXECUTION: TraceTaskName.TOOL_TRACE,
+            TelemetryCase.MODERATION_CHECK: TraceTaskName.MODERATION_TRACE,
+            TelemetryCase.SUGGESTED_QUESTION: TraceTaskName.SUGGESTED_QUESTION_TRACE,
+            TelemetryCase.DATASET_RETRIEVAL: TraceTaskName.DATASET_RETRIEVAL_TRACE,
+            TelemetryCase.GENERATE_NAME: TraceTaskName.GENERATE_NAME_TRACE,
+        }
+    return _case_to_trace_task
+
+
+def get_trace_task_to_case() -> dict[TraceTaskName, TelemetryCase]:
+    """Return TraceTaskName → TelemetryCase (inverse of _get_case_to_trace_task)."""
+    return {v: k for k, v in _get_case_to_trace_task().items()}
+
+
+def _get_case_routing() -> dict[TelemetryCase, CaseRoute]:
+    global _case_routing
+    if _case_routing is None:
+        from enterprise.telemetry.contracts import CaseRoute, SignalType, TelemetryCase
+
+        _case_routing = {
+            # TRACE — CE-eligible (flow in both CE and EE)
+            TelemetryCase.WORKFLOW_RUN: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            TelemetryCase.MESSAGE_RUN: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            TelemetryCase.TOOL_EXECUTION: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            TelemetryCase.MODERATION_CHECK: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            TelemetryCase.SUGGESTED_QUESTION: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            TelemetryCase.DATASET_RETRIEVAL: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            TelemetryCase.GENERATE_NAME: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=True),
+            # TRACE — enterprise-only
+            TelemetryCase.NODE_EXECUTION: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=False),
+            TelemetryCase.DRAFT_NODE_EXECUTION: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=False),
+            TelemetryCase.PROMPT_GENERATION: CaseRoute(signal_type=SignalType.TRACE, ce_eligible=False),
+            # METRIC_LOG — enterprise-only (signal-driven, not trace)
+            TelemetryCase.APP_CREATED: CaseRoute(signal_type=SignalType.METRIC_LOG, ce_eligible=False),
+            TelemetryCase.APP_UPDATED: CaseRoute(signal_type=SignalType.METRIC_LOG, ce_eligible=False),
+            TelemetryCase.APP_DELETED: CaseRoute(signal_type=SignalType.METRIC_LOG, ce_eligible=False),
+            TelemetryCase.FEEDBACK_CREATED: CaseRoute(signal_type=SignalType.METRIC_LOG, ce_eligible=False),
+        }
+    return _case_routing
+
+
+def __getattr__(name: str) -> dict:
+    """Lazy module-level access to routing tables."""
+    if name == "CASE_ROUTING":
+        return _get_case_routing()
+    if name == "CASE_TO_TRACE_TASK":
+        return _get_case_to_trace_task()
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def is_enterprise_telemetry_enabled() -> bool:
+    try:
+        from enterprise.telemetry.exporter import is_enterprise_telemetry_enabled
+
+        return is_enterprise_telemetry_enabled()
+    except Exception:
+        return False
+
+
+def _handle_payload_sizing(
+    payload: dict[str, Any],
+    tenant_id: str,
+    event_id: str,
+) -> tuple[dict[str, Any], str | None]:
+    """Inline or offload payload based on size.
+
+    Returns ``(payload_for_envelope, storage_key | None)``.  Payloads
+    exceeding ``PAYLOAD_SIZE_THRESHOLD_BYTES`` are written to object
+    storage and replaced with an empty dict in the envelope.
+    """
+    try:
+        payload_json = json.dumps(payload)
+        payload_size = len(payload_json.encode("utf-8"))
+    except (TypeError, ValueError):
+        logger.warning("Failed to serialize payload for sizing: event_id=%s", event_id)
+        return payload, None
+
+    if payload_size <= PAYLOAD_SIZE_THRESHOLD_BYTES:
+        return payload, None
+
+    storage_key = f"telemetry/{tenant_id}/{event_id}.json"
+    try:
+        storage.save(storage_key, payload_json.encode("utf-8"))
+        logger.debug("Stored large payload to storage: key=%s, size=%d", storage_key, payload_size)
+        return {}, storage_key
+    except Exception:
+        logger.warning("Failed to store large payload, inlining instead: event_id=%s", event_id, exc_info=True)
+        return payload, None
+
+
+# ---------------------------------------------------------------------------
+# Public API
+# ---------------------------------------------------------------------------
+
+
+def emit(
+    case: TelemetryCase,
+    context: dict[str, Any],
+    payload: dict[str, Any],
+    trace_manager: TraceQueueManager | None = None,
+) -> None:
+    """Route a telemetry event to the correct pipeline.
+
+    TRACE events are enqueued into ``TraceQueueManager`` (works in both CE
+    and EE).  Enterprise-only traces are silently dropped when EE is
+    disabled.
+
+    METRIC_LOG events are dispatched to the enterprise Celery queue;
+    silently dropped when enterprise telemetry is unavailable.
+    """
+    route = _get_case_routing().get(case)
+    if route is None:
+        logger.warning("Unknown telemetry case: %s, dropping event", case)
+        return
+
+    if not route.ce_eligible and not is_enterprise_telemetry_enabled():
+        logger.debug("Dropping EE-only event: case=%s (EE disabled)", case)
+        return
+
+    if route.signal_type == SignalType.TRACE:
+        _emit_trace(case, context, payload, trace_manager)
+    else:
+        _emit_metric_log(case, context, payload)
+
+
+def _emit_trace(
+    case: TelemetryCase,
+    context: dict[str, Any],
+    payload: dict[str, Any],
+    trace_manager: TraceQueueManager | None,
+) -> None:
+    from core.ops.ops_trace_manager import TraceQueueManager as LocalTraceQueueManager
+    from core.ops.ops_trace_manager import TraceTask
+
+    trace_task_name = _get_case_to_trace_task().get(case)
+    if trace_task_name is None:
+        logger.warning("No TraceTaskName mapping for case: %s", case)
+        return
+
+    queue_manager = trace_manager or LocalTraceQueueManager(
+        app_id=context.get("app_id"),
+        user_id=context.get("user_id"),
+    )
+    queue_manager.add_trace_task(TraceTask(trace_task_name, user_id=context.get("user_id"), **payload))
+    logger.debug("Enqueued trace task: case=%s, app_id=%s", case, context.get("app_id"))
+
+
+def _emit_metric_log(
+    case: TelemetryCase,
+    context: dict[str, Any],
+    payload: dict[str, Any],
+) -> None:
+    """Build envelope and dispatch to enterprise Celery queue.
+
+    No-ops when the enterprise telemetry task is not importable (CE mode).
+    """
+    try:
+        from tasks.enterprise_telemetry_task import process_enterprise_telemetry
+    except ImportError:
+        logger.debug("Enterprise metric/log dispatch unavailable, dropping: case=%s", case)
+        return
+
+    tenant_id = context.get("tenant_id") or ""
+    event_id = str(uuid.uuid4())
+
+    payload_for_envelope, payload_ref = _handle_payload_sizing(payload, tenant_id, event_id)
+
+    from enterprise.telemetry.contracts import TelemetryEnvelope
+
+    envelope = TelemetryEnvelope(
+        case=case,
+        tenant_id=tenant_id,
+        event_id=event_id,
+        payload=payload_for_envelope,
+        metadata={"payload_ref": payload_ref} if payload_ref else None,
+    )
+
+    process_enterprise_telemetry.delay(envelope.model_dump_json())
+    logger.debug(
+        "Enqueued metric/log event: case=%s, tenant_id=%s, event_id=%s",
+        case,
+        tenant_id,
+        event_id,
+    )

api/core/tools/signature.py

@@ -25,12 +25,14 @@ def sign_tool_file(tool_file_id: str, extension: str, for_external: bool = True)
     return f"{file_preview_url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}"
 
 
-def sign_upload_file(upload_file_id: str, extension: str) -> str:
+def sign_upload_file_preview_url(upload_file_id: str, extension: str) -> str:
     """
-    sign file to get a temporary url for plugin access
+    Sign an upload file to get a temporary image preview URL.
+
+    The URL generated by this function is only for external preview and download,
+    not for internal communication.
     """
-    # Use internal URL for plugin/tool file access in Docker environments
-    base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
+    base_url = dify_config.FILES_URL
     file_preview_url = f"{base_url}/files/{upload_file_id}/image-preview"
 
     timestamp = str(int(time.time()))

api/core/tools/tool_manager.py

@@ -246,9 +246,9 @@ class ToolManager:
                     raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found")
 
             # check if the credential is allowed to be used
-            from core.helper.credential_utils import check_credential_policy_compliance
+            from core.helper.credential_utils import runtime_check_credential_policy_compliance
 
-            check_credential_policy_compliance(
+            runtime_check_credential_policy_compliance(
                 credential_id=builtin_provider.id,
                 provider=provider_id,
                 credential_type=PluginCredentialType.TOOL,
@@ -1045,10 +1045,9 @@ class ToolManager:
                         continue
                     tool_input = ToolNodeData.ToolInput.model_validate(tool_configurations.get(parameter.name, {}))
                     if tool_input.type == "variable":
-                        variable_selector = tool_input.require_variable_selector()
-                        variable = variable_pool.get(variable_selector)
+                        variable = variable_pool.get(tool_input.value)
                         if variable is None:
-                            raise ToolParameterError(f"Variable {variable_selector} does not exist")
+                            raise ToolParameterError(f"Variable {tool_input.value} does not exist")
                         parameter_value = variable.value
                     elif tool_input.type == "constant":
                         parameter_value = tool_input.value

api/core/workflow/nodes/agent/entities.py

@@ -1,24 +1,13 @@
-from __future__ import annotations
-
 from enum import IntEnum, StrEnum, auto
-from typing import Literal, TypeAlias
+from typing import Any, Literal, Union
 
-from pydantic import BaseModel, TypeAdapter, field_validator
-from pydantic_core.core_schema import ValidationInfo
+from pydantic import BaseModel
 
 from core.prompt.entities.advanced_prompt_entities import MemoryConfig
 from core.tools.entities.tool_entities import ToolSelector
 from dify_graph.entities.base_node_data import BaseNodeData
 from dify_graph.enums import BuiltinNodeTypes, NodeType
 
-AgentInputConstantValue: TypeAlias = (
-    list[ToolSelector] | str | int | float | bool | dict[str, object] | list[object] | None
-)
-VariableSelector: TypeAlias = list[str]
-
-_AGENT_INPUT_VALUE_ADAPTER: TypeAdapter[AgentInputConstantValue] = TypeAdapter(AgentInputConstantValue)
-_AGENT_VARIABLE_SELECTOR_ADAPTER: TypeAdapter[VariableSelector] = TypeAdapter(VariableSelector)
-
 
 class AgentNodeData(BaseNodeData):
     type: NodeType = BuiltinNodeTypes.AGENT
@@ -32,20 +21,8 @@ class AgentNodeData(BaseNodeData):
     tool_node_version: str | None = None
 
     class AgentInput(BaseModel):
+        value: Union[list[str], list[ToolSelector], Any]
         type: Literal["mixed", "variable", "constant"]
-        value: AgentInputConstantValue | VariableSelector
-
-        @field_validator("value", mode="before")
-        @classmethod
-        def validate_value(
-            cls, value: object, validation_info: ValidationInfo
-        ) -> AgentInputConstantValue | VariableSelector:
-            input_type = validation_info.data.get("type")
-            if input_type == "variable":
-                return _AGENT_VARIABLE_SELECTOR_ADAPTER.validate_python(value)
-            if input_type in {"mixed", "constant"}:
-                return _AGENT_INPUT_VALUE_ADAPTER.validate_python(value)
-            raise ValueError(f"Unknown agent input type: {input_type}")
 
     agent_parameters: dict[str, AgentInput]
 

api/core/workflow/nodes/agent/runtime_support.py

@@ -1,17 +1,16 @@
 from __future__ import annotations
 
 import json
-from collections.abc import Mapping, Sequence
-from typing import TypeAlias
+from collections.abc import Sequence
+from typing import Any, cast
 
 from packaging.version import Version
-from pydantic import TypeAdapter, ValidationError
+from pydantic import ValidationError
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
 from core.agent.entities import AgentToolEntity
 from core.agent.plugin_entities import AgentStrategyParameter
-from core.app.entities.app_invoke_entities import InvokeFrom
 from core.memory.token_buffer_memory import TokenBufferMemory
 from core.model_manager import ModelInstance, ModelManager
 from core.plugin.entities.request import InvokeCredentials
@@ -29,14 +28,6 @@ from .entities import AgentNodeData, AgentOldVersionModelFeatures, ParamsAutoGen
 from .exceptions import AgentInputTypeError, AgentVariableNotFoundError
 from .strategy_protocols import ResolvedAgentStrategy
 
-JsonObject: TypeAlias = dict[str, object]
-JsonObjectList: TypeAlias = list[JsonObject]
-VariableSelector: TypeAlias = list[str]
-
-_JSON_OBJECT_ADAPTER = TypeAdapter(JsonObject)
-_JSON_OBJECT_LIST_ADAPTER = TypeAdapter(JsonObjectList)
-_VARIABLE_SELECTOR_ADAPTER = TypeAdapter(VariableSelector)
-
 
 class AgentRuntimeSupport:
     def build_parameters(
@@ -48,12 +39,12 @@ class AgentRuntimeSupport:
         strategy: ResolvedAgentStrategy,
         tenant_id: str,
         app_id: str,
-        invoke_from: InvokeFrom,
+        invoke_from: Any,
         for_log: bool = False,
-    ) -> dict[str, object]:
+    ) -> dict[str, Any]:
         agent_parameters_dictionary = {parameter.name: parameter for parameter in agent_parameters}
 
-        result: dict[str, object] = {}
+        result: dict[str, Any] = {}
         for parameter_name in node_data.agent_parameters:
             parameter = agent_parameters_dictionary.get(parameter_name)
             if not parameter:
@@ -63,10 +54,9 @@ class AgentRuntimeSupport:
             agent_input = node_data.agent_parameters[parameter_name]
             match agent_input.type:
                 case "variable":
-                    variable_selector = _VARIABLE_SELECTOR_ADAPTER.validate_python(agent_input.value)
-                    variable = variable_pool.get(variable_selector)
+                    variable = variable_pool.get(agent_input.value)  # type: ignore[arg-type]
                     if variable is None:
-                        raise AgentVariableNotFoundError(str(variable_selector))
+                        raise AgentVariableNotFoundError(str(agent_input.value))
                     parameter_value = variable.value
                 case "mixed" | "constant":
                     try:
@@ -89,38 +79,60 @@ class AgentRuntimeSupport:
 
             value = parameter_value
             if parameter.type == "array[tools]":
-                tool_payloads = _JSON_OBJECT_LIST_ADAPTER.validate_python(value)
-                value = self._normalize_tool_payloads(
-                    strategy=strategy,
-                    tools=tool_payloads,
-                    variable_pool=variable_pool,
-                )
+                value = cast(list[dict[str, Any]], value)
+                value = [tool for tool in value if tool.get("enabled", False)]
+                value = self._filter_mcp_type_tool(strategy, value)
+                for tool in value:
+                    if "schemas" in tool:
+                        tool.pop("schemas")
+                    parameters = tool.get("parameters", {})
+                    if all(isinstance(v, dict) for _, v in parameters.items()):
+                        params = {}
+                        for key, param in parameters.items():
+                            if param.get("auto", ParamsAutoGenerated.OPEN) in (
+                                ParamsAutoGenerated.CLOSE,
+                                0,
+                            ):
+                                value_param = param.get("value", {})
+                                if value_param and value_param.get("type", "") == "variable":
+                                    variable_selector = value_param.get("value")
+                                    if not variable_selector:
+                                        raise ValueError("Variable selector is missing for a variable-type parameter.")
+
+                                    variable = variable_pool.get(variable_selector)
+                                    if variable is None:
+                                        raise AgentVariableNotFoundError(str(variable_selector))
+
+                                    params[key] = variable.value
+                                else:
+                                    params[key] = value_param.get("value", "") if value_param is not None else None
+                            else:
+                                params[key] = None
+                        parameters = params
+                    tool["settings"] = {k: v.get("value", None) for k, v in tool.get("settings", {}).items()}
+                    tool["parameters"] = parameters
 
             if not for_log:
                 if parameter.type == "array[tools]":
-                    value = _JSON_OBJECT_LIST_ADAPTER.validate_python(value)
+                    value = cast(list[dict[str, Any]], value)
                     tool_value = []
                     for tool in value:
-                        provider_type = self._coerce_tool_provider_type(tool.get("type"))
-                        setting_params = self._coerce_json_object(tool.get("settings")) or {}
-                        parameters = self._coerce_json_object(tool.get("parameters")) or {}
+                        provider_type = ToolProviderType(tool.get("type", ToolProviderType.BUILT_IN))
+                        setting_params = tool.get("settings", {})
+                        parameters = tool.get("parameters", {})
                         manual_input_params = [key for key, value in parameters.items() if value is not None]
 
                         parameters = {**parameters, **setting_params}
-                        provider_id = self._coerce_optional_string(tool.get("provider_name")) or ""
-                        tool_name = self._coerce_optional_string(tool.get("tool_name")) or ""
-                        plugin_unique_identifier = self._coerce_optional_string(tool.get("plugin_unique_identifier"))
-                        credential_id = self._coerce_optional_string(tool.get("credential_id"))
                         entity = AgentToolEntity(
-                            provider_id=provider_id,
+                            provider_id=tool.get("provider_name", ""),
                             provider_type=provider_type,
-                            tool_name=tool_name,
+                            tool_name=tool.get("tool_name", ""),
                             tool_parameters=parameters,
-                            plugin_unique_identifier=plugin_unique_identifier,
-                            credential_id=credential_id,
+                            plugin_unique_identifier=tool.get("plugin_unique_identifier", None),
+                            credential_id=tool.get("credential_id", None),
                         )
 
-                        extra = self._coerce_json_object(tool.get("extra")) or {}
+                        extra = tool.get("extra", {})
 
                         runtime_variable_pool: VariablePool | None = None
                         if node_data.version != "1" or node_data.tool_node_version is not None:
@@ -133,9 +145,8 @@ class AgentRuntimeSupport:
                             runtime_variable_pool,
                         )
                         if tool_runtime.entity.description:
-                            description_override = self._coerce_optional_string(extra.get("description"))
                             tool_runtime.entity.description.llm = (
-                                description_override or tool_runtime.entity.description.llm
+                                extra.get("description", "") or tool_runtime.entity.description.llm
                             )
                         for tool_runtime_params in tool_runtime.entity.parameters:
                             tool_runtime_params.form = (
@@ -156,13 +167,13 @@ class AgentRuntimeSupport:
                             {
                                 **tool_runtime.entity.model_dump(mode="json"),
                                 "runtime_parameters": runtime_parameters,
-                                "credential_id": credential_id,
+                                "credential_id": tool.get("credential_id", None),
                                 "provider_type": provider_type.value,
                             }
                         )
                     value = tool_value
                 if parameter.type == AgentStrategyParameter.AgentStrategyParameterType.MODEL_SELECTOR:
-                    value = _JSON_OBJECT_ADAPTER.validate_python(value)
+                    value = cast(dict[str, Any], value)
                     model_instance, model_schema = self.fetch_model(tenant_id=tenant_id, value=value)
                     history_prompt_messages = []
                     if node_data.memory:
@@ -188,27 +199,17 @@ class AgentRuntimeSupport:
 
         return result
 
-    def build_credentials(self, *, parameters: Mapping[str, object]) -> InvokeCredentials:
+    def build_credentials(self, *, parameters: dict[str, Any]) -> InvokeCredentials:
         credentials = InvokeCredentials()
         credentials.tool_credentials = {}
-        tools = parameters.get("tools")
-        if not isinstance(tools, list):
-            return credentials
-
-        for raw_tool in tools:
-            tool = self._coerce_json_object(raw_tool)
-            if tool is None:
-                continue
+        for tool in parameters.get("tools", []):
             if not tool.get("credential_id"):
                 continue
             try:
                 identity = ToolIdentity.model_validate(tool.get("identity", {}))
             except ValidationError:
                 continue
-            credential_id = self._coerce_optional_string(tool.get("credential_id"))
-            if credential_id is None:
-                continue
-            credentials.tool_credentials[identity.provider] = credential_id
+            credentials.tool_credentials[identity.provider] = tool.get("credential_id", None)
         return credentials
 
     def fetch_memory(
@@ -231,14 +232,14 @@ class AgentRuntimeSupport:
 
         return TokenBufferMemory(conversation=conversation, model_instance=model_instance)
 
-    def fetch_model(self, *, tenant_id: str, value: Mapping[str, object]) -> tuple[ModelInstance, AIModelEntity | None]:
+    def fetch_model(self, *, tenant_id: str, value: dict[str, Any]) -> tuple[ModelInstance, AIModelEntity | None]:
         provider_manager = ProviderManager()
         provider_model_bundle = provider_manager.get_provider_model_bundle(
             tenant_id=tenant_id,
-            provider=str(value.get("provider", "")),
+            provider=value.get("provider", ""),
             model_type=ModelType.LLM,
         )
-        model_name = str(value.get("model", ""))
+        model_name = value.get("model", "")
         model_credentials = provider_model_bundle.configuration.get_current_credentials(
             model_type=ModelType.LLM,
             model=model_name,
@@ -248,7 +249,7 @@ class AgentRuntimeSupport:
         model_instance = ModelManager().get_model_instance(
             tenant_id=tenant_id,
             provider=provider_name,
-            model_type=ModelType(str(value.get("model_type", ""))),
+            model_type=ModelType(value.get("model_type", "")),
             model=model_name,
         )
         model_schema = model_type_instance.get_model_schema(model_name, model_credentials)
@@ -267,88 +268,9 @@ class AgentRuntimeSupport:
     @staticmethod
     def _filter_mcp_type_tool(
         strategy: ResolvedAgentStrategy,
-        tools: JsonObjectList,
-    ) -> JsonObjectList:
+        tools: list[dict[str, Any]],
+    ) -> list[dict[str, Any]]:
         meta_version = strategy.meta_version
         if meta_version and Version(meta_version) > Version("0.0.1"):
             return tools
         return [tool for tool in tools if tool.get("type") != ToolProviderType.MCP]
-
-    def _normalize_tool_payloads(
-        self,
-        *,
-        strategy: ResolvedAgentStrategy,
-        tools: JsonObjectList,
-        variable_pool: VariablePool,
-    ) -> JsonObjectList:
-        enabled_tools = [dict(tool) for tool in tools if bool(tool.get("enabled", False))]
-        normalized_tools = self._filter_mcp_type_tool(strategy, enabled_tools)
-        for tool in normalized_tools:
-            tool.pop("schemas", None)
-            tool["parameters"] = self._resolve_tool_parameters(tool=tool, variable_pool=variable_pool)
-            tool["settings"] = self._resolve_tool_settings(tool)
-        return normalized_tools
-
-    def _resolve_tool_parameters(self, *, tool: Mapping[str, object], variable_pool: VariablePool) -> JsonObject:
-        parameter_configs = self._coerce_named_json_objects(tool.get("parameters"))
-        if parameter_configs is None:
-            raw_parameters = self._coerce_json_object(tool.get("parameters"))
-            return raw_parameters or {}
-
-        resolved_parameters: JsonObject = {}
-        for key, parameter_config in parameter_configs.items():
-            if parameter_config.get("auto", ParamsAutoGenerated.OPEN) in (ParamsAutoGenerated.CLOSE, 0):
-                value_param = self._coerce_json_object(parameter_config.get("value"))
-                if value_param and value_param.get("type") == "variable":
-                    variable_selector = _VARIABLE_SELECTOR_ADAPTER.validate_python(value_param.get("value"))
-                    variable = variable_pool.get(variable_selector)
-                    if variable is None:
-                        raise AgentVariableNotFoundError(str(variable_selector))
-                    resolved_parameters[key] = variable.value
-                else:
-                    resolved_parameters[key] = value_param.get("value", "") if value_param is not None else None
-            else:
-                resolved_parameters[key] = None
-
-        return resolved_parameters
-
-    @staticmethod
-    def _resolve_tool_settings(tool: Mapping[str, object]) -> JsonObject:
-        settings = AgentRuntimeSupport._coerce_named_json_objects(tool.get("settings"))
-        if settings is None:
-            return {}
-        return {key: setting.get("value") for key, setting in settings.items()}
-
-    @staticmethod
-    def _coerce_json_object(value: object) -> JsonObject | None:
-        try:
-            return _JSON_OBJECT_ADAPTER.validate_python(value)
-        except ValidationError:
-            return None
-
-    @staticmethod
-    def _coerce_optional_string(value: object) -> str | None:
-        return value if isinstance(value, str) else None
-
-    @staticmethod
-    def _coerce_tool_provider_type(value: object) -> ToolProviderType:
-        if isinstance(value, ToolProviderType):
-            return value
-        if isinstance(value, str):
-            return ToolProviderType(value)
-        return ToolProviderType.BUILT_IN
-
-    @classmethod
-    def _coerce_named_json_objects(cls, value: object) -> dict[str, JsonObject] | None:
-        if not isinstance(value, dict):
-            return None
-
-        coerced: dict[str, JsonObject] = {}
-        for key, item in value.items():
-            if not isinstance(key, str):
-                return None
-            json_object = cls._coerce_json_object(item)
-            if json_object is None:
-                return None
-            coerced[key] = json_object
-        return coerced

api/core/workflow/workflow_entry.py

@@ -1,7 +1,7 @@
 import logging
 import time
 from collections.abc import Generator, Mapping, Sequence
-from typing import Any, TypeAlias, cast
+from typing import Any, cast
 
 from configs import dify_config
 from core.app.apps.exc import GenerateTaskStoppedError
@@ -32,13 +32,6 @@ from models.workflow import Workflow
 
 logger = logging.getLogger(__name__)
 
-SpecialValueScalar: TypeAlias = str | int | float | bool | None
-SpecialValue: TypeAlias = SpecialValueScalar | File | Mapping[str, "SpecialValue"] | list["SpecialValue"]
-SerializedSpecialValue: TypeAlias = (
-    SpecialValueScalar | dict[str, "SerializedSpecialValue"] | list["SerializedSpecialValue"]
-)
-SingleNodeGraphConfig: TypeAlias = dict[str, list[dict[str, object]]]
-
 
 class _WorkflowChildEngineBuilder:
     @staticmethod
@@ -283,10 +276,10 @@ class WorkflowEntry:
     @staticmethod
     def _create_single_node_graph(
         node_id: str,
-        node_data: Mapping[str, object],
+        node_data: dict[str, Any],
         node_width: int = 114,
         node_height: int = 514,
-    ) -> SingleNodeGraphConfig:
+    ) -> dict[str, Any]:
         """
         Create a minimal graph structure for testing a single node in isolation.
 
@@ -296,14 +289,14 @@ class WorkflowEntry:
         :param node_height: height for UI layout (default: 100)
         :return: graph dictionary with start node and target node
         """
-        node_config: dict[str, object] = {
+        node_config = {
             "id": node_id,
             "width": node_width,
             "height": node_height,
             "type": "custom",
-            "data": dict(node_data),
+            "data": node_data,
         }
-        start_node_config: dict[str, object] = {
+        start_node_config = {
             "id": "start",
             "width": node_width,
             "height": node_height,
@@ -328,12 +321,7 @@ class WorkflowEntry:
 
     @classmethod
     def run_free_node(
-        cls,
-        node_data: Mapping[str, object],
-        node_id: str,
-        tenant_id: str,
-        user_id: str,
-        user_inputs: Mapping[str, object],
+        cls, node_data: dict[str, Any], node_id: str, tenant_id: str, user_id: str, user_inputs: dict[str, Any]
     ) -> tuple[Node, Generator[GraphNodeEventBase, None, None]]:
         """
         Run free node
@@ -351,8 +339,6 @@ class WorkflowEntry:
         graph_dict = cls._create_single_node_graph(node_id, node_data)
 
         node_type = node_data.get("type", "")
-        if not isinstance(node_type, str):
-            raise ValueError("Node type must be a string")
         if node_type not in {BuiltinNodeTypes.PARAMETER_EXTRACTOR, BuiltinNodeTypes.QUESTION_CLASSIFIER}:
             raise ValueError(f"Node type {node_type} not supported")
 
@@ -383,7 +369,7 @@ class WorkflowEntry:
         graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())
 
         # init workflow run state
-        node_config = NodeConfigDictAdapter.validate_python({"id": node_id, "data": dict(node_data)})
+        node_config = NodeConfigDictAdapter.validate_python({"id": node_id, "data": node_data})
         node_factory = DifyNodeFactory(
             graph_init_params=graph_init_params,
             graph_runtime_state=graph_runtime_state,
@@ -419,34 +405,30 @@ class WorkflowEntry:
             raise WorkflowNodeRunFailedError(node=node, err_msg=str(e))
 
     @staticmethod
-    def handle_special_values(value: Mapping[str, SpecialValue] | None) -> dict[str, SerializedSpecialValue] | None:
+    def handle_special_values(value: Mapping[str, Any] | None) -> Mapping[str, Any] | None:
         # NOTE(QuantumGhost): Avoid using this function in new code.
         # Keep values structured as long as possible and only convert to dict
         # immediately before serialization (e.g., JSON serialization) to maintain
         # data integrity and type information.
         result = WorkflowEntry._handle_special_values(value)
-        if result is None:
-            return None
-        if isinstance(result, dict):
-            return result
-        raise TypeError("handle_special_values expects a mapping input")
+        return result if isinstance(result, Mapping) or result is None else dict(result)
 
     @staticmethod
-    def _handle_special_values(value: SpecialValue) -> SerializedSpecialValue:
+    def _handle_special_values(value: Any):
         if value is None:
             return value
-        if isinstance(value, Mapping):
-            res: dict[str, SerializedSpecialValue] = {}
+        if isinstance(value, dict):
+            res = {}
             for k, v in value.items():
                 res[k] = WorkflowEntry._handle_special_values(v)
             return res
         if isinstance(value, list):
-            res_list: list[SerializedSpecialValue] = []
+            res_list = []
             for item in value:
                 res_list.append(WorkflowEntry._handle_special_values(item))
             return res_list
         if isinstance(value, File):
-            return dict(value.to_dict())
+            return value.to_dict()
         return value
 
     @classmethod

api/dify_graph/file/file_manager.py

@@ -112,8 +112,6 @@ def _get_encoded_string(f: File, /) -> str:
             data = _download_file_content(f.storage_key)
         case FileTransferMethod.DATASOURCE_FILE:
             data = _download_file_content(f.storage_key)
-        case _:
-            raise ValueError(f"Unsupported transfer method: {f.transfer_method}")
 
     return base64.b64encode(data).decode("utf-8")
 

api/dify_graph/graph/graph.py

@@ -10,7 +10,6 @@ from pydantic import TypeAdapter
 from dify_graph.entities.graph_config import NodeConfigDict
 from dify_graph.enums import ErrorStrategy, NodeExecutionType, NodeState
 from dify_graph.nodes.base.node import Node
-from libs.typing import is_str
 
 from .edge import Edge
 from .validation import get_graph_validator
@@ -102,7 +101,7 @@ class Graph:
             source = edge_config.get("source")
             target = edge_config.get("target")
 
-            if not is_str(source) or not is_str(target):
+            if not isinstance(source, str) or not isinstance(target, str):
                 continue
 
             # Create edge
@@ -110,7 +109,7 @@ class Graph:
             edge_counter += 1
 
             source_handle = edge_config.get("sourceHandle", "source")
-            if not is_str(source_handle):
+            if not isinstance(source_handle, str):
                 continue
 
             edge = Edge(

api/dify_graph/graph_engine/layers/execution_limits.py

@@ -133,8 +133,6 @@ class ExecutionLimitsLayer(GraphEngineLayer):
         elif limit_type == LimitType.TIME_LIMIT:
             elapsed_time = time.time() - self.start_time if self.start_time else 0
             reason = f"Maximum execution time exceeded: {elapsed_time:.2f}s > {self.max_time}s"
-        else:
-            return
 
         self.logger.warning("Execution limit exceeded: %s", reason)
 

api/dify_graph/nodes/base/node.py

@@ -336,7 +336,12 @@ class Node(Generic[NodeDataT]):
 
     def _restore_execution_id_from_runtime_state(self) -> str | None:
         graph_execution = self.graph_runtime_state.graph_execution
-        node_executions = graph_execution.node_executions
+        try:
+            node_executions = graph_execution.node_executions
+        except AttributeError:
+            return None
+        if not isinstance(node_executions, dict):
+            return None
         node_execution = node_executions.get(self._node_id)
         if node_execution is None:
             return None
@@ -390,7 +395,8 @@ class Node(Generic[NodeDataT]):
                 if isinstance(event, NodeEventBase):  # pyright: ignore[reportUnnecessaryIsInstance]
                     yield self._dispatch(event)
                 elif isinstance(event, GraphNodeEventBase) and not event.in_iteration_id and not event.in_loop_id:  # pyright: ignore[reportUnnecessaryIsInstance]
-                    yield event.model_copy(update={"id": self.execution_id})
+                    event.id = self.execution_id
+                    yield event
                 else:
                     yield event
         except Exception as e:

api/dify_graph/nodes/document_extractor/node.py

@@ -443,10 +443,7 @@ def _extract_text_from_docx(file_content: bytes) -> str:
         # Keep track of paragraph and table positions
         content_items: list[tuple[int, str, Table | Paragraph]] = []
 
-        doc_body = getattr(doc.element, "body", None)
-        if doc_body is None:
-            raise TextExtractionError("DOCX body not found")
-        it = iter(doc_body)
+        it = iter(doc.element.body)
         part = next(it, None)
         i = 0
         while part is not None:

api/dify_graph/nodes/llm/entities.py

@@ -1,8 +1,7 @@
 from collections.abc import Mapping, Sequence
-from typing import Literal, NotRequired
+from typing import Any, Literal
 
 from pydantic import BaseModel, Field, field_validator
-from typing_extensions import TypedDict
 
 from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate, MemoryConfig
 from dify_graph.entities.base_node_data import BaseNodeData
@@ -11,17 +10,11 @@ from dify_graph.model_runtime.entities import ImagePromptMessageContent, LLMMode
 from dify_graph.nodes.base.entities import VariableSelector
 
 
-class StructuredOutputConfig(TypedDict):
-    schema: Mapping[str, object]
-    name: NotRequired[str]
-    description: NotRequired[str]
-
-
 class ModelConfig(BaseModel):
     provider: str
     name: str
     mode: LLMMode
-    completion_params: dict[str, object] = Field(default_factory=dict)
+    completion_params: dict[str, Any] = Field(default_factory=dict)
 
 
 class ContextConfig(BaseModel):
@@ -40,7 +33,7 @@ class VisionConfig(BaseModel):
 
     @field_validator("configs", mode="before")
     @classmethod
-    def convert_none_configs(cls, v: object):
+    def convert_none_configs(cls, v: Any):
         if v is None:
             return VisionConfigOptions()
         return v
@@ -51,7 +44,7 @@ class PromptConfig(BaseModel):
 
     @field_validator("jinja2_variables", mode="before")
     @classmethod
-    def convert_none_jinja2_variables(cls, v: object):
+    def convert_none_jinja2_variables(cls, v: Any):
         if v is None:
             return []
         return v
@@ -74,7 +67,7 @@ class LLMNodeData(BaseNodeData):
     memory: MemoryConfig | None = None
     context: ContextConfig
     vision: VisionConfig = Field(default_factory=VisionConfig)
-    structured_output: StructuredOutputConfig | None = None
+    structured_output: Mapping[str, Any] | None = None
     # We used 'structured_output_enabled' in the past, but it's not a good name.
     structured_output_switch_on: bool = Field(False, alias="structured_output_enabled")
     reasoning_format: Literal["separated", "tagged"] = Field(
@@ -97,30 +90,11 @@ class LLMNodeData(BaseNodeData):
 
     @field_validator("prompt_config", mode="before")
     @classmethod
-    def convert_none_prompt_config(cls, v: object):
+    def convert_none_prompt_config(cls, v: Any):
         if v is None:
             return PromptConfig()
         return v
 
-    @field_validator("structured_output", mode="before")
-    @classmethod
-    def convert_legacy_structured_output(cls, v: object) -> StructuredOutputConfig | None | object:
-        if not isinstance(v, Mapping):
-            return v
-
-        schema = v.get("schema")
-        if schema is None:
-            return None
-
-        normalized: StructuredOutputConfig = {"schema": schema}
-        name = v.get("name")
-        description = v.get("description")
-        if isinstance(name, str):
-            normalized["name"] = name
-        if isinstance(description, str):
-            normalized["description"] = description
-        return normalized
-
     @property
     def structured_output_enabled(self) -> bool:
         return self.structured_output_switch_on and self.structured_output is not None

api/dify_graph/nodes/llm/node.py

@@ -9,7 +9,6 @@ import time
 from collections.abc import Generator, Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Literal
 
-from pydantic import TypeAdapter
 from sqlalchemy import select
 
 from core.llm_generator.output_parser.errors import OutputParserError
@@ -17,7 +16,7 @@ from core.llm_generator.output_parser.structured_output import invoke_llm_with_s
 from core.model_manager import ModelInstance
 from core.prompt.entities.advanced_prompt_entities import CompletionModelPromptTemplate, MemoryConfig
 from core.prompt.utils.prompt_message_util import PromptMessageUtil
-from core.tools.signature import sign_upload_file
+from core.tools.signature import sign_upload_file_preview_url
 from dify_graph.constants import SYSTEM_VARIABLE_NODE_ID
 from dify_graph.entities import GraphInitParams
 from dify_graph.entities.graph_config import NodeConfigDict
@@ -75,7 +74,6 @@ from .entities import (
     LLMNodeChatModelMessage,
     LLMNodeCompletionModelPromptTemplate,
     LLMNodeData,
-    StructuredOutputConfig,
 )
 from .exc import (
     InvalidContextStructureError,
@@ -90,7 +88,6 @@ if TYPE_CHECKING:
     from dify_graph.runtime import GraphRuntimeState
 
 logger = logging.getLogger(__name__)
-_JSON_OBJECT_ADAPTER = TypeAdapter(dict[str, object])
 
 
 class LLMNode(Node[LLMNodeData]):
@@ -361,7 +358,7 @@ class LLMNode(Node[LLMNodeData]):
         stop: Sequence[str] | None = None,
         user_id: str,
         structured_output_enabled: bool,
-        structured_output: StructuredOutputConfig | None = None,
+        structured_output: Mapping[str, Any] | None = None,
         file_saver: LLMFileSaver,
         file_outputs: list[File],
         node_id: str,
@@ -374,10 +371,8 @@ class LLMNode(Node[LLMNodeData]):
         model_schema = llm_utils.fetch_model_schema(model_instance=model_instance)
 
         if structured_output_enabled:
-            if structured_output is None:
-                raise LLMNodeError("Please provide a valid structured output schema")
             output_schema = LLMNode.fetch_structured_output_schema(
-                structured_output=structured_output,
+                structured_output=structured_output or {},
             )
             request_start_time = time.perf_counter()
 
@@ -717,7 +712,7 @@ class LLMNode(Node[LLMNodeData]):
                                         related_id=upload_file.id,
                                         size=upload_file.size,
                                         storage_key=upload_file.key,
-                                        url=sign_upload_file(upload_file.id, upload_file.extension),
+                                        url=sign_upload_file_preview_url(upload_file.id, upload_file.extension),
                                     )
                                     context_files.append(attachment_info)
                 yield RunRetrieverResourceEvent(
@@ -929,12 +924,6 @@ class LLMNode(Node[LLMNodeData]):
             # Extract clean text and reasoning from <think> tags
             clean_text, reasoning_content = LLMNode._split_reasoning(full_text, reasoning_format)
 
-        structured_output = (
-            dict(invoke_result.structured_output)
-            if isinstance(invoke_result, LLMResultWithStructuredOutput) and invoke_result.structured_output is not None
-            else None
-        )
-
         event = ModelInvokeCompletedEvent(
             # Use clean_text for separated mode, full_text for tagged mode
             text=clean_text if reasoning_format == "separated" else full_text,
@@ -943,7 +932,7 @@ class LLMNode(Node[LLMNodeData]):
             # Reasoning content for workflow variables and downstream nodes
             reasoning_content=reasoning_content,
             # Pass structured output if enabled
-            structured_output=structured_output,
+            structured_output=getattr(invoke_result, "structured_output", None),
         )
         if request_latency is not None:
             event.usage.latency = round(request_latency, 3)
@@ -977,18 +966,27 @@ class LLMNode(Node[LLMNodeData]):
     @staticmethod
     def fetch_structured_output_schema(
         *,
-        structured_output: StructuredOutputConfig,
-    ) -> dict[str, object]:
+        structured_output: Mapping[str, Any],
+    ) -> dict[str, Any]:
         """
         Fetch the structured output schema from the node data.
 
         Returns:
-            dict[str, object]: The structured output schema
+            dict[str, Any]: The structured output schema
         """
-        schema = structured_output.get("schema")
-        if not schema:
+        if not structured_output:
             raise LLMNodeError("Please provide a valid structured output schema")
-        return _JSON_OBJECT_ADAPTER.validate_python(schema)
+        structured_output_schema = json.dumps(structured_output.get("schema", {}), ensure_ascii=False)
+        if not structured_output_schema:
+            raise LLMNodeError("Please provide a valid structured output schema")
+
+        try:
+            schema = json.loads(structured_output_schema)
+            if not isinstance(schema, dict):
+                raise LLMNodeError("structured_output_schema must be a JSON object")
+            return schema
+        except json.JSONDecodeError:
+            raise LLMNodeError("structured_output_schema is not valid JSON format")
 
     @staticmethod
     def _save_multimodal_output_and_convert_result_to_markdown(

api/dify_graph/nodes/loop/entities.py

@@ -1,10 +1,7 @@
-from __future__ import annotations
-
 from enum import StrEnum
-from typing import Annotated, Any, Literal, TypeAlias, cast
+from typing import Annotated, Any, Literal
 
-from pydantic import AfterValidator, BaseModel, Field, TypeAdapter, field_validator
-from pydantic_core.core_schema import ValidationInfo
+from pydantic import AfterValidator, BaseModel, Field, field_validator
 
 from dify_graph.entities.base_node_data import BaseNodeData
 from dify_graph.enums import BuiltinNodeTypes, NodeType
@@ -12,12 +9,6 @@ from dify_graph.nodes.base import BaseLoopNodeData, BaseLoopState
 from dify_graph.utils.condition.entities import Condition
 from dify_graph.variables.types import SegmentType
 
-LoopValue: TypeAlias = str | int | float | bool | None | dict[str, Any] | list[Any]
-LoopValueMapping: TypeAlias = dict[str, LoopValue]
-VariableSelector: TypeAlias = list[str]
-
-_VARIABLE_SELECTOR_ADAPTER: TypeAdapter[VariableSelector] = TypeAdapter(VariableSelector)
-
 _VALID_VAR_TYPE = frozenset(
     [
         SegmentType.STRING,
@@ -38,36 +29,6 @@ def _is_valid_var_type(seg_type: SegmentType) -> SegmentType:
     return seg_type
 
 
-def _validate_loop_value(value: object) -> LoopValue:
-    if value is None or isinstance(value, (str, int, float, bool)):
-        return cast(LoopValue, value)
-
-    if isinstance(value, list):
-        return [_validate_loop_value(item) for item in value]
-
-    if isinstance(value, dict):
-        normalized: dict[str, LoopValue] = {}
-        for key, item in value.items():
-            if not isinstance(key, str):
-                raise TypeError("Loop values only support string object keys")
-            normalized[key] = _validate_loop_value(item)
-        return normalized
-
-    raise TypeError("Loop values must be JSON-like primitives, arrays, or objects")
-
-
-def _validate_loop_value_mapping(value: object) -> LoopValueMapping:
-    if not isinstance(value, dict):
-        raise TypeError("Loop outputs must be an object")
-
-    normalized: LoopValueMapping = {}
-    for key, item in value.items():
-        if not isinstance(key, str):
-            raise TypeError("Loop output keys must be strings")
-        normalized[key] = _validate_loop_value(item)
-    return normalized
-
-
 class LoopVariableData(BaseModel):
     """
     Loop Variable Data.
@@ -76,29 +37,7 @@ class LoopVariableData(BaseModel):
     label: str
     var_type: Annotated[SegmentType, AfterValidator(_is_valid_var_type)]
     value_type: Literal["variable", "constant"]
-    value: LoopValue | VariableSelector | None = None
-
-    @field_validator("value", mode="before")
-    @classmethod
-    def validate_value(cls, value: object, validation_info: ValidationInfo) -> LoopValue | VariableSelector | None:
-        value_type = validation_info.data.get("value_type")
-        if value_type == "variable":
-            if value is None:
-                raise ValueError("Variable loop inputs require a selector")
-            return _VARIABLE_SELECTOR_ADAPTER.validate_python(value)
-        if value_type == "constant":
-            return _validate_loop_value(value)
-        raise ValueError(f"Unknown loop variable value type: {value_type}")
-
-    def require_variable_selector(self) -> VariableSelector:
-        if self.value_type != "variable":
-            raise ValueError(f"Expected variable loop input, got {self.value_type}")
-        return _VARIABLE_SELECTOR_ADAPTER.validate_python(self.value)
-
-    def require_constant_value(self) -> LoopValue:
-        if self.value_type != "constant":
-            raise ValueError(f"Expected constant loop input, got {self.value_type}")
-        return _validate_loop_value(self.value)
+    value: Any | list[str] | None = None
 
 
 class LoopNodeData(BaseLoopNodeData):
@@ -107,14 +46,14 @@ class LoopNodeData(BaseLoopNodeData):
     break_conditions: list[Condition]  # Conditions to break the loop
     logical_operator: Literal["and", "or"]
     loop_variables: list[LoopVariableData] | None = Field(default_factory=list[LoopVariableData])
-    outputs: LoopValueMapping = Field(default_factory=dict)
+    outputs: dict[str, Any] = Field(default_factory=dict)
 
     @field_validator("outputs", mode="before")
     @classmethod
-    def validate_outputs(cls, value: object) -> LoopValueMapping:
-        if value is None:
+    def validate_outputs(cls, v):
+        if v is None:
             return {}
-        return _validate_loop_value_mapping(value)
+        return v
 
 
 class LoopStartNodeData(BaseNodeData):
@@ -138,8 +77,8 @@ class LoopState(BaseLoopState):
     Loop State.
     """
 
-    outputs: list[LoopValue] = Field(default_factory=list)
-    current_output: LoopValue | None = None
+    outputs: list[Any] = Field(default_factory=list)
+    current_output: Any = None
 
     class MetaData(BaseLoopState.MetaData):
         """
@@ -148,7 +87,7 @@ class LoopState(BaseLoopState):
 
         loop_length: int
 
-    def get_last_output(self) -> LoopValue | None:
+    def get_last_output(self) -> Any:
         """
         Get last output.
         """
@@ -156,7 +95,7 @@ class LoopState(BaseLoopState):
             return self.outputs[-1]
         return None
 
-    def get_current_output(self) -> LoopValue | None:
+    def get_current_output(self) -> Any:
         """
         Get current output.
         """

api/dify_graph/nodes/loop/loop_node.py

@@ -3,7 +3,7 @@ import json
 import logging
 from collections.abc import Callable, Generator, Mapping, Sequence
 from datetime import datetime
-from typing import TYPE_CHECKING, Literal, cast
+from typing import TYPE_CHECKING, Any, Literal, cast
 
 from dify_graph.entities.graph_config import NodeConfigDictAdapter
 from dify_graph.enums import (
@@ -29,7 +29,7 @@ from dify_graph.node_events import (
 )
 from dify_graph.nodes.base import LLMUsageTrackingMixin
 from dify_graph.nodes.base.node import Node
-from dify_graph.nodes.loop.entities import LoopCompletedReason, LoopNodeData, LoopValue, LoopVariableData
+from dify_graph.nodes.loop.entities import LoopCompletedReason, LoopNodeData, LoopVariableData
 from dify_graph.utils.condition.processor import ConditionProcessor
 from dify_graph.variables import Segment, SegmentType
 from factories.variable_factory import TypeMismatchError, build_segment_with_type, segment_to_variable
@@ -60,7 +60,7 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
         break_conditions = self.node_data.break_conditions
         logical_operator = self.node_data.logical_operator
 
-        inputs: dict[str, object] = {"loop_count": loop_count}
+        inputs = {"loop_count": loop_count}
 
         if not self.node_data.start_node_id:
             raise ValueError(f"field start_node_id in loop {self._node_id} not found")
@@ -68,14 +68,12 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
         root_node_id = self.node_data.start_node_id
 
         # Initialize loop variables in the original variable pool
-        loop_variable_selectors: dict[str, list[str]] = {}
+        loop_variable_selectors = {}
         if self.node_data.loop_variables:
             value_processor: dict[Literal["constant", "variable"], Callable[[LoopVariableData], Segment | None]] = {
-                "constant": lambda var: self._get_segment_for_constant(var.var_type, var.require_constant_value()),
+                "constant": lambda var: self._get_segment_for_constant(var.var_type, var.value),
                 "variable": lambda var: (
-                    self.graph_runtime_state.variable_pool.get(var.require_variable_selector())
-                    if var.value is not None
-                    else None
+                    self.graph_runtime_state.variable_pool.get(var.value) if isinstance(var.value, list) else None
                 ),
             }
             for loop_variable in self.node_data.loop_variables:
@@ -97,7 +95,7 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
         condition_processor = ConditionProcessor()
 
         loop_duration_map: dict[str, float] = {}
-        single_loop_variable_map: dict[str, dict[str, LoopValue]] = {}  # single loop variable output
+        single_loop_variable_map: dict[str, dict[str, Any]] = {}  # single loop variable output
         loop_usage = LLMUsage.empty_usage()
         loop_node_ids = self._extract_loop_node_ids_from_config(self.graph_config, self._node_id)
 
@@ -148,7 +146,7 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
                 loop_usage = self._merge_usage(loop_usage, graph_engine.graph_runtime_state.llm_usage)
 
                 # Collect loop variable values after iteration
-                single_loop_variable: dict[str, LoopValue] = {}
+                single_loop_variable = {}
                 for key, selector in loop_variable_selectors.items():
                     segment = self.graph_runtime_state.variable_pool.get(selector)
                     single_loop_variable[key] = segment.value if segment else None
@@ -299,29 +297,20 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
     def _extract_variable_selector_to_variable_mapping(
         cls,
         *,
-        graph_config: Mapping[str, object],
+        graph_config: Mapping[str, Any],
         node_id: str,
         node_data: LoopNodeData,
     ) -> Mapping[str, Sequence[str]]:
-        variable_mapping: dict[str, Sequence[str]] = {}
+        variable_mapping = {}
 
         # Extract loop node IDs statically from graph_config
 
         loop_node_ids = cls._extract_loop_node_ids_from_config(graph_config, node_id)
 
         # Get node configs from graph_config
-        raw_nodes = graph_config.get("nodes")
-        node_configs: dict[str, Mapping[str, object]] = {}
-        if isinstance(raw_nodes, list):
-            for raw_node in raw_nodes:
-                if not isinstance(raw_node, dict):
-                    continue
-                raw_node_id = raw_node.get("id")
-                if isinstance(raw_node_id, str):
-                    node_configs[raw_node_id] = raw_node
+        node_configs = {node["id"]: node for node in graph_config.get("nodes", []) if "id" in node}
         for sub_node_id, sub_node_config in node_configs.items():
-            sub_node_data = sub_node_config.get("data")
-            if not isinstance(sub_node_data, dict) or sub_node_data.get("loop_id") != node_id:
+            if sub_node_config.get("data", {}).get("loop_id") != node_id:
                 continue
 
             # variable selector to variable mapping
@@ -352,8 +341,9 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
 
         for loop_variable in node_data.loop_variables or []:
             if loop_variable.value_type == "variable":
+                assert loop_variable.value is not None, "Loop variable value must be provided for variable type"
                 # add loop variable to variable mapping
-                selector = loop_variable.require_variable_selector()
+                selector = loop_variable.value
                 variable_mapping[f"{node_id}.{loop_variable.label}"] = selector
 
         # remove variable out from loop
@@ -362,7 +352,7 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
         return variable_mapping
 
     @classmethod
-    def _extract_loop_node_ids_from_config(cls, graph_config: Mapping[str, object], loop_node_id: str) -> set[str]:
+    def _extract_loop_node_ids_from_config(cls, graph_config: Mapping[str, Any], loop_node_id: str) -> set[str]:
         """
         Extract node IDs that belong to a specific loop from graph configuration.
 
@@ -373,19 +363,12 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
         :param loop_node_id: the ID of the loop node
         :return: set of node IDs that belong to the loop
         """
-        loop_node_ids: set[str] = set()
+        loop_node_ids = set()
 
         # Find all nodes that belong to this loop
-        raw_nodes = graph_config.get("nodes")
-        if not isinstance(raw_nodes, list):
-            return loop_node_ids
-
-        for node in raw_nodes:
-            if not isinstance(node, dict):
-                continue
-            node_data = node.get("data")
-            if not isinstance(node_data, dict):
-                continue
+        nodes = graph_config.get("nodes", [])
+        for node in nodes:
+            node_data = node.get("data", {})
             if node_data.get("loop_id") == loop_node_id:
                 node_id = node.get("id")
                 if node_id:
@@ -394,7 +377,7 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
         return loop_node_ids
 
     @staticmethod
-    def _get_segment_for_constant(var_type: SegmentType, original_value: LoopValue | None) -> Segment:
+    def _get_segment_for_constant(var_type: SegmentType, original_value: Any) -> Segment:
         """Get the appropriate segment type for a constant value."""
         # TODO: Refactor for maintainability:
         # 1. Ensure type handling logic stays synchronized with _VALID_VAR_TYPE (entities.py)
@@ -406,15 +389,11 @@ class LoopNode(LLMUsageTrackingMixin, Node[LoopNodeData]):
             SegmentType.ARRAY_OBJECT,
             SegmentType.ARRAY_STRING,
         ]:
-            # New typed payloads may already provide native lists, while legacy
-            # configs still serialize array constants as JSON strings.
-            if isinstance(original_value, str):
-                value = json.loads(original_value) if original_value else []
-            elif original_value is None:
-                # Preserve legacy behavior: treat missing/empty array constants as [].
-                value = []
+            if original_value and isinstance(original_value, str):
+                value = json.loads(original_value)
             else:
-                value = original_value
+                logger.warning("unexpected value for LoopNode, value_type=%s, value=%s", original_value, var_type)
+                value = []
         else:
             raise AssertionError("this statement should be unreachable.")
         try:

api/dify_graph/nodes/parameter_extractor/entities.py

@@ -1,4 +1,4 @@
-from typing import Annotated, Literal
+from typing import Annotated, Any, Literal
 
 from pydantic import (
     BaseModel,
@@ -6,7 +6,6 @@ from pydantic import (
     Field,
     field_validator,
 )
-from typing_extensions import TypedDict
 
 from core.prompt.entities.advanced_prompt_entities import MemoryConfig
 from dify_graph.entities.base_node_data import BaseNodeData
@@ -56,7 +55,7 @@ class ParameterConfig(BaseModel):
 
     @field_validator("name", mode="before")
     @classmethod
-    def validate_name(cls, value: object) -> str:
+    def validate_name(cls, value) -> str:
         if not value:
             raise ValueError("Parameter name is required")
         if value in {"__reason", "__is_success"}:
@@ -80,23 +79,6 @@ class ParameterConfig(BaseModel):
         return element_type
 
 
-class JsonSchemaArrayItems(TypedDict):
-    type: str
-
-
-class ParameterJsonSchemaProperty(TypedDict, total=False):
-    description: str
-    type: str
-    items: JsonSchemaArrayItems
-    enum: list[str]
-
-
-class ParameterJsonSchema(TypedDict):
-    type: Literal["object"]
-    properties: dict[str, ParameterJsonSchemaProperty]
-    required: list[str]
-
-
 class ParameterExtractorNodeData(BaseNodeData):
     """
     Parameter Extractor Node Data.
@@ -113,19 +95,19 @@ class ParameterExtractorNodeData(BaseNodeData):
 
     @field_validator("reasoning_mode", mode="before")
     @classmethod
-    def set_reasoning_mode(cls, v: object) -> str:
-        return str(v) if v else "function_call"
+    def set_reasoning_mode(cls, v) -> str:
+        return v or "function_call"
 
-    def get_parameter_json_schema(self) -> ParameterJsonSchema:
+    def get_parameter_json_schema(self):
         """
         Get parameter json schema.
 
         :return: parameter json schema
         """
-        parameters: ParameterJsonSchema = {"type": "object", "properties": {}, "required": []}
+        parameters: dict[str, Any] = {"type": "object", "properties": {}, "required": []}
 
         for parameter in self.parameters:
-            parameter_schema: ParameterJsonSchemaProperty = {"description": parameter.description}
+            parameter_schema: dict[str, Any] = {"description": parameter.description}
 
             if parameter.type == SegmentType.STRING:
                 parameter_schema["type"] = "string"
@@ -136,7 +118,7 @@ class ParameterExtractorNodeData(BaseNodeData):
                     raise AssertionError("element type should not be None.")
                 parameter_schema["items"] = {"type": element_type.value}
             else:
-                parameter_schema["type"] = parameter.type.value
+                parameter_schema["type"] = parameter.type
 
             if parameter.options:
                 parameter_schema["enum"] = parameter.options

api/dify_graph/nodes/parameter_extractor/parameter_extractor_node.py

@@ -5,8 +5,6 @@ import uuid
 from collections.abc import Mapping, Sequence
 from typing import TYPE_CHECKING, Any, cast
 
-from pydantic import TypeAdapter
-
 from core.model_manager import ModelInstance
 from core.prompt.advanced_prompt_transform import AdvancedPromptTransform
 from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate
@@ -65,7 +63,6 @@ from .prompts import (
 )
 
 logger = logging.getLogger(__name__)
-_JSON_OBJECT_ADAPTER = TypeAdapter(dict[str, object])
 
 if TYPE_CHECKING:
     from dify_graph.entities import GraphInitParams
@@ -73,7 +70,7 @@ if TYPE_CHECKING:
     from dify_graph.runtime import GraphRuntimeState
 
 
-def extract_json(text: str) -> str | None:
+def extract_json(text):
     """
     From a given JSON started from '{' or '[' extract the complete JSON object.
     """
@@ -399,15 +396,10 @@ class ParameterExtractorNode(Node[ParameterExtractorNodeData]):
         )
 
         # generate tool
-        parameter_schema = node_data.get_parameter_json_schema()
         tool = PromptMessageTool(
             name=FUNCTION_CALLING_EXTRACTOR_NAME,
             description="Extract parameters from the natural language text",
-            parameters={
-                "type": parameter_schema["type"],
-                "properties": dict(parameter_schema["properties"]),
-                "required": list(parameter_schema["required"]),
-            },
+            parameters=node_data.get_parameter_json_schema(),
         )
 
         return prompt_messages, [tool]
@@ -614,21 +606,19 @@ class ParameterExtractorNode(Node[ParameterExtractorNodeData]):
         else:
             return None
 
-    def _transform_result(self, data: ParameterExtractorNodeData, result: Mapping[str, object]) -> dict[str, object]:
+    def _transform_result(self, data: ParameterExtractorNodeData, result: dict):
         """
         Transform result into standard format.
         """
-        transformed_result: dict[str, object] = {}
+        transformed_result: dict[str, Any] = {}
         for parameter in data.parameters:
             if parameter.name in result:
                 param_value = result[parameter.name]
                 # transform value
                 if parameter.type == SegmentType.NUMBER:
-                    if isinstance(param_value, (bool, int, float, str)):
-                        numeric_value: bool | int | float | str = param_value
-                        transformed = self._transform_number(numeric_value)
-                        if transformed is not None:
-                            transformed_result[parameter.name] = transformed
+                    transformed = self._transform_number(param_value)
+                    if transformed is not None:
+                        transformed_result[parameter.name] = transformed
                 elif parameter.type == SegmentType.BOOLEAN:
                     if isinstance(result[parameter.name], (bool, int)):
                         transformed_result[parameter.name] = bool(result[parameter.name])
@@ -675,7 +665,7 @@ class ParameterExtractorNode(Node[ParameterExtractorNodeData]):
 
         return transformed_result
 
-    def _extract_complete_json_response(self, result: str) -> dict[str, object] | None:
+    def _extract_complete_json_response(self, result: str) -> dict | None:
         """
         Extract complete json response.
         """
@@ -686,11 +676,11 @@ class ParameterExtractorNode(Node[ParameterExtractorNodeData]):
                 json_str = extract_json(result[idx:])
                 if json_str:
                     with contextlib.suppress(Exception):
-                        return _JSON_OBJECT_ADAPTER.validate_python(json.loads(json_str))
+                        return cast(dict, json.loads(json_str))
         logger.info("extra error: %s", result)
         return None
 
-    def _extract_json_from_tool_call(self, tool_call: AssistantPromptMessage.ToolCall) -> dict[str, object] | None:
+    def _extract_json_from_tool_call(self, tool_call: AssistantPromptMessage.ToolCall) -> dict | None:
         """
         Extract json from tool call.
         """
@@ -704,16 +694,16 @@ class ParameterExtractorNode(Node[ParameterExtractorNodeData]):
                 json_str = extract_json(result[idx:])
                 if json_str:
                     with contextlib.suppress(Exception):
-                        return _JSON_OBJECT_ADAPTER.validate_python(json.loads(json_str))
+                        return cast(dict, json.loads(json_str))
 
         logger.info("extra error: %s", result)
         return None
 
-    def _generate_default_result(self, data: ParameterExtractorNodeData) -> dict[str, object]:
+    def _generate_default_result(self, data: ParameterExtractorNodeData):
         """
         Generate default result.
         """
-        result: dict[str, object] = {}
+        result: dict[str, Any] = {}
         for parameter in data.parameters:
             if parameter.type == "number":
                 result[parameter.name] = 0

api/dify_graph/nodes/tool/entities.py

@@ -1,66 +1,12 @@
-from __future__ import annotations
+from typing import Any, Literal, Union
 
-from typing import Literal, TypeAlias, cast
-
-from pydantic import BaseModel, TypeAdapter, field_validator
+from pydantic import BaseModel, field_validator
 from pydantic_core.core_schema import ValidationInfo
-from typing_extensions import TypedDict
 
 from core.tools.entities.tool_entities import ToolProviderType
 from dify_graph.entities.base_node_data import BaseNodeData
 from dify_graph.enums import BuiltinNodeTypes, NodeType
 
-ToolConfigurationValue: TypeAlias = str | int | float | bool
-ToolInputConstantValue: TypeAlias = str | int | float | bool | dict[str, object] | list[object] | None
-VariableSelector: TypeAlias = list[str]
-
-_TOOL_INPUT_MIXED_ADAPTER: TypeAdapter[str] = TypeAdapter(str)
-_TOOL_INPUT_CONSTANT_ADAPTER: TypeAdapter[ToolInputConstantValue] = TypeAdapter(ToolInputConstantValue)
-_VARIABLE_SELECTOR_ADAPTER: TypeAdapter[VariableSelector] = TypeAdapter(VariableSelector)
-
-
-class WorkflowToolInputValue(TypedDict):
-    type: Literal["mixed", "variable", "constant"]
-    value: ToolInputConstantValue | VariableSelector
-
-
-ToolConfigurationEntry: TypeAlias = ToolConfigurationValue | WorkflowToolInputValue
-ToolConfigurations: TypeAlias = dict[str, ToolConfigurationEntry]
-
-
-class ToolInputPayload(BaseModel):
-    type: Literal["mixed", "variable", "constant"]
-    value: ToolInputConstantValue | VariableSelector
-
-    @field_validator("value", mode="before")
-    @classmethod
-    def validate_value(
-        cls, value: object, validation_info: ValidationInfo
-    ) -> ToolInputConstantValue | VariableSelector:
-        input_type = validation_info.data.get("type")
-        if input_type == "mixed":
-            return _TOOL_INPUT_MIXED_ADAPTER.validate_python(value)
-        if input_type == "variable":
-            return _VARIABLE_SELECTOR_ADAPTER.validate_python(value)
-        if input_type == "constant":
-            return _TOOL_INPUT_CONSTANT_ADAPTER.validate_python(value)
-        raise ValueError(f"Unknown tool input type: {input_type}")
-
-    def require_variable_selector(self) -> VariableSelector:
-        if self.type != "variable":
-            raise ValueError(f"Expected variable tool input, got {self.type}")
-        return _VARIABLE_SELECTOR_ADAPTER.validate_python(self.value)
-
-
-def _validate_tool_configuration_entry(value: object) -> ToolConfigurationEntry:
-    if isinstance(value, (str, int, float, bool)):
-        return cast(ToolConfigurationEntry, value)
-
-    if isinstance(value, dict):
-        return cast(ToolConfigurationEntry, ToolInputPayload.model_validate(value).model_dump())
-
-    raise TypeError("Tool configuration values must be primitives or workflow tool input objects")
-
 
 class ToolEntity(BaseModel):
     provider_id: str
@@ -68,29 +14,52 @@ class ToolEntity(BaseModel):
     provider_name: str  # redundancy
     tool_name: str
     tool_label: str  # redundancy
-    tool_configurations: ToolConfigurations
+    tool_configurations: dict[str, Any]
     credential_id: str | None = None
     plugin_unique_identifier: str | None = None  # redundancy
 
     @field_validator("tool_configurations", mode="before")
     @classmethod
-    def validate_tool_configurations(cls, value: object, _validation_info: ValidationInfo) -> ToolConfigurations:
+    def validate_tool_configurations(cls, value, values: ValidationInfo):
         if not isinstance(value, dict):
-            raise TypeError("tool_configurations must be a dictionary")
+            raise ValueError("tool_configurations must be a dictionary")
 
-        normalized: ToolConfigurations = {}
-        for key, item in value.items():
-            if not isinstance(key, str):
-                raise TypeError("tool_configurations keys must be strings")
-            normalized[key] = _validate_tool_configuration_entry(item)
-        return normalized
+        for key in values.data.get("tool_configurations", {}):
+            value = values.data.get("tool_configurations", {}).get(key)
+            if not isinstance(value, str | int | float | bool):
+                raise ValueError(f"{key} must be a string")
+
+        return value
 
 
 class ToolNodeData(BaseNodeData, ToolEntity):
     type: NodeType = BuiltinNodeTypes.TOOL
 
-    class ToolInput(ToolInputPayload):
-        pass
+    class ToolInput(BaseModel):
+        # TODO: check this type
+        value: Union[Any, list[str]]
+        type: Literal["mixed", "variable", "constant"]
+
+        @field_validator("type", mode="before")
+        @classmethod
+        def check_type(cls, value, validation_info: ValidationInfo):
+            typ = value
+            value = validation_info.data.get("value")
+
+            if value is None:
+                return typ
+
+            if typ == "mixed" and not isinstance(value, str):
+                raise ValueError("value must be a string")
+            elif typ == "variable":
+                if not isinstance(value, list):
+                    raise ValueError("value must be a list")
+                for val in value:
+                    if not isinstance(val, str):
+                        raise ValueError("value must be a list of strings")
+            elif typ == "constant" and not isinstance(value, (allowed_types := (str, int, float, bool, dict, list))):
+                raise ValueError(f"value must be one of: {', '.join(t.__name__ for t in allowed_types)}")
+            return typ
 
     tool_parameters: dict[str, ToolInput]
     # The version of the tool parameter.
@@ -100,7 +69,7 @@ class ToolNodeData(BaseNodeData, ToolEntity):
 
     @field_validator("tool_parameters", mode="before")
     @classmethod
-    def filter_none_tool_inputs(cls, value: object) -> object:
+    def filter_none_tool_inputs(cls, value):
         if not isinstance(value, dict):
             return value
 
@@ -111,10 +80,8 @@ class ToolNodeData(BaseNodeData, ToolEntity):
         }
 
     @staticmethod
-    def _has_valid_value(tool_input: object) -> bool:
+    def _has_valid_value(tool_input):
         """Check if the value is valid"""
         if isinstance(tool_input, dict):
             return tool_input.get("value") is not None
-        if isinstance(tool_input, ToolNodeData.ToolInput):
-            return tool_input.value is not None
-        return False
+        return getattr(tool_input, "value", None) is not None

api/dify_graph/nodes/tool/tool_node.py

@@ -225,11 +225,10 @@ class ToolNode(Node[ToolNodeData]):
                 continue
             tool_input = node_data.tool_parameters[parameter_name]
             if tool_input.type == "variable":
-                variable_selector = tool_input.require_variable_selector()
-                variable = variable_pool.get(variable_selector)
+                variable = variable_pool.get(tool_input.value)
                 if variable is None:
                     if parameter.required:
-                        raise ToolParameterError(f"Variable {variable_selector} does not exist")
+                        raise ToolParameterError(f"Variable {tool_input.value} does not exist")
                     continue
                 parameter_value = variable.value
             elif tool_input.type in {"mixed", "constant"}:
@@ -511,9 +510,8 @@ class ToolNode(Node[ToolNodeData]):
                     for selector in selectors:
                         result[selector.variable] = selector.value_selector
                 case "variable":
-                    variable_selector = input.require_variable_selector()
-                    selector_key = ".".join(variable_selector)
-                    result[f"#{selector_key}#"] = variable_selector
+                    selector_key = ".".join(input.value)
+                    result[f"#{selector_key}#"] = input.value
                 case "constant":
                     pass
 

api/dify_graph/nodes/variable_assigner/v1/node.py

@@ -9,7 +9,7 @@ from dify_graph.node_events import NodeRunResult
 from dify_graph.nodes.base.node import Node
 from dify_graph.nodes.variable_assigner.common import helpers as common_helpers
 from dify_graph.nodes.variable_assigner.common.exc import VariableOperatorNodeError
-from dify_graph.variables import Segment, SegmentType, VariableBase
+from dify_graph.variables import SegmentType, VariableBase
 
 from .node_data import VariableAssignerData, WriteMode
 
@@ -74,29 +74,23 @@ class VariableAssignerNode(Node[VariableAssignerData]):
         if not isinstance(original_variable, VariableBase):
             raise VariableOperatorNodeError("assigned variable not found")
 
-        income_value: Segment
-        updated_variable: VariableBase
         match self.node_data.write_mode:
             case WriteMode.OVER_WRITE:
-                input_value = self.graph_runtime_state.variable_pool.get(self.node_data.input_variable_selector)
-                if input_value is None:
+                income_value = self.graph_runtime_state.variable_pool.get(self.node_data.input_variable_selector)
+                if not income_value:
                     raise VariableOperatorNodeError("input value not found")
-                income_value = input_value
                 updated_variable = original_variable.model_copy(update={"value": income_value.value})
 
             case WriteMode.APPEND:
-                input_value = self.graph_runtime_state.variable_pool.get(self.node_data.input_variable_selector)
-                if input_value is None:
+                income_value = self.graph_runtime_state.variable_pool.get(self.node_data.input_variable_selector)
+                if not income_value:
                     raise VariableOperatorNodeError("input value not found")
-                income_value = input_value
                 updated_value = original_variable.value + [income_value.value]
                 updated_variable = original_variable.model_copy(update={"value": updated_value})
 
             case WriteMode.CLEAR:
                 income_value = SegmentType.get_zero_value(original_variable.value_type)
                 updated_variable = original_variable.model_copy(update={"value": income_value.to_object()})
-            case _:
-                raise VariableOperatorNodeError(f"unsupported write mode: {self.node_data.write_mode}")
 
         # Over write the variable.
         self.graph_runtime_state.variable_pool.add(assigned_variable_selector, updated_variable)

api/dify_graph/runtime/graph_runtime_state.py

@@ -66,11 +66,6 @@ class GraphExecutionProtocol(Protocol):
     exceptions_count: int
     pause_reasons: list[PauseReason]
 
-    @property
-    def node_executions(self) -> Mapping[str, NodeExecutionProtocol]:
-        """Return node execution state keyed by node id for resume support."""
-        ...
-
     def start(self) -> None:
         """Transition execution into the running state."""
         ...
@@ -96,12 +91,6 @@ class GraphExecutionProtocol(Protocol):
         ...
 
 
-class NodeExecutionProtocol(Protocol):
-    """Structural interface for per-node execution state used during resume."""
-
-    execution_id: str | None
-
-
 class ResponseStreamCoordinatorProtocol(Protocol):
     """Structural interface for response stream coordinator."""
 

api/enterprise/telemetry/DATA_DICTIONARY.md

@@ -0,0 +1,525 @@
+# Dify Enterprise Telemetry Data Dictionary
+
+Quick reference for all telemetry signals emitted by Dify Enterprise. For configuration and architecture details, see [README.md](./README.md).
+
+## Resource Attributes
+
+Attached to every signal (Span, Metric, Log).
+
+| Attribute | Type | Example |
+|-----------|------|---------|
+| `service.name` | string | `dify` |
+| `host.name` | string | `dify-api-7f8b` |
+
+## Traces (Spans)
+
+### `dify.workflow.run`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.trace_id` | string | Business trace ID (Workflow Run ID) |
+| `dify.tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.workflow.id` | string | Workflow definition ID |
+| `dify.workflow.run_id` | string | Unique ID for this run |
+| `dify.workflow.status` | string | `succeeded`, `failed`, `stopped`, etc. |
+| `dify.workflow.error` | string | Error message if failed |
+| `dify.workflow.elapsed_time` | float | Total execution time (seconds) |
+| `dify.invoke_from` | string | `api`, `webapp`, `debug` |
+| `dify.conversation.id` | string | Conversation ID (optional) |
+| `dify.message.id` | string | Message ID (optional) |
+| `dify.invoked_by` | string | User ID who triggered the run |
+| `gen_ai.usage.total_tokens` | int | Total tokens across all nodes (optional) |
+| `gen_ai.user.id` | string | End-user identifier (optional) |
+| `dify.parent.trace_id` | string | Parent workflow trace ID (optional) |
+| `dify.parent.workflow.run_id` | string | Parent workflow run ID (optional) |
+| `dify.parent.node.execution_id` | string | Parent node execution ID (optional) |
+| `dify.parent.app.id` | string | Parent app ID (optional) |
+
+### `dify.node.execution`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.trace_id` | string | Business trace ID |
+| `dify.tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.workflow.id` | string | Workflow definition ID |
+| `dify.workflow.run_id` | string | Workflow Run ID |
+| `dify.message.id` | string | Message ID (optional) |
+| `dify.conversation.id` | string | Conversation ID (optional) |
+| `dify.node.execution_id` | string | Unique node execution ID |
+| `dify.node.id` | string | Node ID in workflow graph |
+| `dify.node.type` | string | Node type (see appendix) |
+| `dify.node.title` | string | Display title |
+| `dify.node.status` | string | `succeeded`, `failed` |
+| `dify.node.error` | string | Error message if failed |
+| `dify.node.elapsed_time` | float | Execution time (seconds) |
+| `dify.node.index` | int | Execution order index |
+| `dify.node.predecessor_node_id` | string | Triggering node ID |
+| `dify.node.iteration_id` | string | Iteration ID (optional) |
+| `dify.node.loop_id` | string | Loop ID (optional) |
+| `dify.node.parallel_id` | string | Parallel branch ID (optional) |
+| `dify.node.invoked_by` | string | User ID who triggered execution |
+| `gen_ai.usage.input_tokens` | int | Prompt tokens (LLM nodes only) |
+| `gen_ai.usage.output_tokens` | int | Completion tokens (LLM nodes only) |
+| `gen_ai.usage.total_tokens` | int | Total tokens (LLM nodes only) |
+| `gen_ai.request.model` | string | LLM model name (LLM nodes only) |
+| `gen_ai.provider.name` | string | LLM provider name (LLM nodes only) |
+| `gen_ai.user.id` | string | End-user identifier (optional) |
+
+### `dify.node.execution.draft`
+
+Same attributes as `dify.node.execution`. Emitted during Preview/Debug runs.
+
+## Counters
+
+All counters are cumulative and emitted at 100% accuracy.
+
+### Token Counters
+
+| Metric | Unit | Description |
+|--------|------|-------------|
+| `dify.tokens.total` | `{token}` | Total tokens consumed |
+| `dify.tokens.input` | `{token}` | Input (prompt) tokens |
+| `dify.tokens.output` | `{token}` | Output (completion) tokens |
+
+**Labels:**
+
+- `tenant_id`, `app_id`, `operation_type`, `model_provider`, `model_name`, `node_type` (if node_execution)
+
+⚠️ **Warning:** `dify.tokens.total` at workflow level includes all node tokens. Filter by `operation_type` to avoid double-counting.
+
+#### Token Hierarchy & Query Patterns
+
+Token metrics are emitted at multiple layers. Understanding the hierarchy prevents double-counting:
+
+```
+App-level total
+├── workflow          ← sum of all node_execution tokens (DO NOT add both)
+│   └── node_execution ← per-node breakdown
+├── message           ← independent (non-workflow chat apps only)
+├── rule_generate     ← independent helper LLM call
+├── code_generate     ← independent helper LLM call
+├── structured_output ← independent helper LLM call
+└── instruction_modify← independent helper LLM call
+```
+
+**Key rule:** `workflow` tokens already include all `node_execution` tokens. Never sum both.
+
+**Available labels on token metrics:** `tenant_id`, `app_id`, `operation_type`, `model_provider`, `model_name`, `node_type`.
+App name is only available on span attributes (`dify.app.name`), not metric labels — use `app_id` for metric queries.
+
+**Common queries** (PromQL):
+
+```promql
+# ── Totals ──────────────────────────────────────────────────
+# App-level total (exclude node_execution to avoid double-counting)
+sum by (app_id) (dify_tokens_total{operation_type!="node_execution"})
+
+# Single app total
+sum (dify_tokens_total{app_id="<app_id>", operation_type!="node_execution"})
+
+# Per-tenant totals
+sum by (tenant_id) (dify_tokens_total{operation_type!="node_execution"})
+
+# ── Drill-down ──────────────────────────────────────────────
+# Workflow-level tokens for an app
+sum (dify_tokens_total{app_id="<app_id>", operation_type="workflow"})
+
+# Node-level breakdown within an app
+sum by (node_type) (dify_tokens_total{app_id="<app_id>", operation_type="node_execution"})
+
+# Model breakdown for an app
+sum by (model_provider, model_name) (dify_tokens_total{app_id="<app_id>"})
+
+# Input vs output per model
+sum by (model_name) (dify_tokens_input_total{app_id="<app_id>"})
+sum by (model_name) (dify_tokens_output_total{app_id="<app_id>"})
+
+# ── Rates ───────────────────────────────────────────────────
+# Token consumption rate (per hour)
+sum(rate(dify_tokens_total{operation_type!="node_execution"}[1h]))
+
+# Per-app consumption rate
+sum by (app_id) (rate(dify_tokens_total{operation_type!="node_execution"}[1h]))
+```
+
+**Finding `app_id` from app name** (trace query — Tempo / Jaeger):
+
+```
+{ resource.dify.app.name = "My Chatbot" } | select(resource.dify.app.id)
+```
+
+### Request Counters
+
+| Metric | Unit | Description |
+|--------|------|-------------|
+| `dify.requests.total` | `{request}` | Total operations count |
+
+**Labels by type:**
+
+| `type` | Additional Labels |
+|--------|-------------------|
+| `workflow` | `tenant_id`, `app_id`, `status`, `invoke_from` |
+| `node` | `tenant_id`, `app_id`, `node_type`, `model_provider`, `model_name`, `status` |
+| `draft_node` | `tenant_id`, `app_id`, `node_type`, `model_provider`, `model_name`, `status` |
+| `message` | `tenant_id`, `app_id`, `model_provider`, `model_name`, `status`, `invoke_from` |
+| `tool` | `tenant_id`, `app_id`, `tool_name` |
+| `moderation` | `tenant_id`, `app_id` |
+| `suggested_question` | `tenant_id`, `app_id`, `model_provider`, `model_name` |
+| `dataset_retrieval` | `tenant_id`, `app_id` |
+| `generate_name` | `tenant_id`, `app_id` |
+| `prompt_generation` | `tenant_id`, `app_id`, `operation_type`, `model_provider`, `model_name`, `status` |
+
+### Error Counters
+
+| Metric | Unit | Description |
+|--------|------|-------------|
+| `dify.errors.total` | `{error}` | Total failed operations |
+
+**Labels by type:**
+
+| `type` | Additional Labels |
+|--------|-------------------|
+| `workflow` | `tenant_id`, `app_id` |
+| `node` | `tenant_id`, `app_id`, `node_type`, `model_provider`, `model_name` |
+| `draft_node` | `tenant_id`, `app_id`, `node_type`, `model_provider`, `model_name` |
+| `message` | `tenant_id`, `app_id`, `model_provider`, `model_name` |
+| `tool` | `tenant_id`, `app_id`, `tool_name` |
+| `prompt_generation` | `tenant_id`, `app_id`, `operation_type`, `model_provider`, `model_name` |
+
+### Other Counters
+
+| Metric | Unit | Labels |
+|--------|------|--------|
+| `dify.feedback.total` | `{feedback}` | `tenant_id`, `app_id`, `rating` |
+| `dify.dataset.retrievals.total` | `{retrieval}` | `tenant_id`, `app_id`, `dataset_id`, `embedding_model_provider`, `embedding_model`, `rerank_model_provider`, `rerank_model` |
+| `dify.app.created.total` | `{app}` | `tenant_id`, `app_id`, `mode` |
+| `dify.app.updated.total` | `{app}` | `tenant_id`, `app_id` |
+| `dify.app.deleted.total` | `{app}` | `tenant_id`, `app_id` |
+
+## Histograms
+
+| Metric | Unit | Labels |
+|--------|------|--------|
+| `dify.workflow.duration` | `s` | `tenant_id`, `app_id`, `status` |
+| `dify.node.duration` | `s` | `tenant_id`, `app_id`, `node_type`, `model_provider`, `model_name`, `plugin_name` |
+| `dify.message.duration` | `s` | `tenant_id`, `app_id`, `model_provider`, `model_name` |
+| `dify.message.time_to_first_token` | `s` | `tenant_id`, `app_id`, `model_provider`, `model_name` |
+| `dify.tool.duration` | `s` | `tenant_id`, `app_id`, `tool_name` |
+| `dify.prompt_generation.duration` | `s` | `tenant_id`, `app_id`, `operation_type`, `model_provider`, `model_name` |
+
+## Structured Logs
+
+### Span Companion Logs
+
+Logs that accompany spans. Signal type: `span_detail`
+
+#### `dify.workflow.run` Companion Log
+
+**Common attributes:** All span attributes (see Traces section) plus:
+
+| Additional Attribute | Type | Always Present | Description |
+|---------------------|------|----------------|-------------|
+| `dify.app.name` | string | No | Application display name |
+| `dify.workspace.name` | string | No | Workspace display name |
+| `dify.workflow.version` | string | Yes | Workflow definition version |
+| `dify.workflow.inputs` | string/JSON | Yes | Input parameters (content-gated) |
+| `dify.workflow.outputs` | string/JSON | Yes | Output results (content-gated) |
+| `dify.workflow.query` | string | No | User query text (content-gated) |
+
+**Event attributes:**
+
+- `dify.event.name`: `"dify.workflow.run"`
+- `dify.event.signal`: `"span_detail"`
+- `trace_id`, `span_id`, `tenant_id`, `user_id`
+
+#### `dify.node.execution` and `dify.node.execution.draft` Companion Logs
+
+**Common attributes:** All span attributes (see Traces section) plus:
+
+| Additional Attribute | Type | Always Present | Description |
+|---------------------|------|----------------|-------------|
+| `dify.app.name` | string | No | Application display name |
+| `dify.workspace.name` | string | No | Workspace display name |
+| `dify.invoke_from` | string | No | Invocation source |
+| `gen_ai.tool.name` | string | No | Tool name (tool nodes only) |
+| `dify.node.total_price` | float | No | Cost (LLM nodes only) |
+| `dify.node.currency` | string | No | Currency code (LLM nodes only) |
+| `dify.node.iteration_index` | int | No | Iteration index (iteration nodes) |
+| `dify.node.loop_index` | int | No | Loop index (loop nodes) |
+| `dify.plugin.name` | string | No | Plugin name (tool/knowledge nodes) |
+| `dify.credential.name` | string | No | Credential name (plugin nodes) |
+| `dify.credential.id` | string | No | Credential ID (plugin nodes) |
+| `dify.dataset.ids` | JSON array | No | Dataset IDs (knowledge nodes) |
+| `dify.dataset.names` | JSON array | No | Dataset names (knowledge nodes) |
+| `dify.node.inputs` | string/JSON | Yes | Node inputs (content-gated) |
+| `dify.node.outputs` | string/JSON | Yes | Node outputs (content-gated) |
+| `dify.node.process_data` | string/JSON | No | Processing data (content-gated) |
+
+**Event attributes:**
+
+- `dify.event.name`: `"dify.node.execution"` or `"dify.node.execution.draft"`
+- `dify.event.signal`: `"span_detail"`
+- `trace_id`, `span_id`, `tenant_id`, `user_id`
+
+### Standalone Logs
+
+Logs without structural spans. Signal type: `metric_only`
+
+#### `dify.message.run`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.message.run"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID (32-char hex) |
+| `span_id` | string | OTEL span ID (16-char hex) |
+| `tenant_id` | string | Tenant identifier |
+| `user_id` | string | User identifier (optional) |
+| `dify.app_id` | string | Application identifier |
+| `dify.message.id` | string | Message identifier |
+| `dify.conversation.id` | string | Conversation ID (optional) |
+| `dify.workflow.run_id` | string | Workflow run ID (optional) |
+| `dify.invoke_from` | string | `service-api`, `web-app`, `debugger`, `explore` |
+| `gen_ai.provider.name` | string | LLM provider |
+| `gen_ai.request.model` | string | LLM model |
+| `gen_ai.usage.input_tokens` | int | Input tokens |
+| `gen_ai.usage.output_tokens` | int | Output tokens |
+| `gen_ai.usage.total_tokens` | int | Total tokens |
+| `dify.message.status` | string | `succeeded`, `failed` |
+| `dify.message.error` | string | Error message (if failed) |
+| `dify.message.duration` | float | Duration (seconds) |
+| `dify.message.time_to_first_token` | float | TTFT (seconds) |
+| `dify.message.inputs` | string/JSON | Inputs (content-gated) |
+| `dify.message.outputs` | string/JSON | Outputs (content-gated) |
+
+#### `dify.tool.execution`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.tool.execution"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.message.id` | string | Message identifier |
+| `dify.tool.name` | string | Tool name |
+| `dify.tool.duration` | float | Duration (seconds) |
+| `dify.tool.status` | string | `succeeded`, `failed` |
+| `dify.tool.error` | string | Error message (if failed) |
+| `dify.tool.inputs` | string/JSON | Inputs (content-gated) |
+| `dify.tool.outputs` | string/JSON | Outputs (content-gated) |
+| `dify.tool.parameters` | string/JSON | Parameters (content-gated) |
+| `dify.tool.config` | string/JSON | Configuration (content-gated) |
+
+#### `dify.moderation.check`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.moderation.check"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.message.id` | string | Message identifier |
+| `dify.moderation.type` | string | `input`, `output` |
+| `dify.moderation.action` | string | `pass`, `block`, `flag` |
+| `dify.moderation.flagged` | boolean | Whether flagged |
+| `dify.moderation.categories` | JSON array | Flagged categories |
+| `dify.moderation.query` | string | Content (content-gated) |
+
+#### `dify.suggested_question.generation`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.suggested_question.generation"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.message.id` | string | Message identifier |
+| `dify.suggested_question.count` | int | Number of questions |
+| `dify.suggested_question.duration` | float | Duration (seconds) |
+| `dify.suggested_question.status` | string | `succeeded`, `failed` |
+| `dify.suggested_question.error` | string | Error message (if failed) |
+| `dify.suggested_question.questions` | JSON array | Questions (content-gated) |
+
+#### `dify.dataset.retrieval`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.dataset.retrieval"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.message.id` | string | Message identifier |
+| `dify.dataset.id` | string | Dataset identifier |
+| `dify.dataset.name` | string | Dataset name |
+| `dify.dataset.embedding_providers` | JSON array | Embedding model providers (one per dataset) |
+| `dify.dataset.embedding_models` | JSON array | Embedding models (one per dataset) |
+| `dify.retrieval.rerank_provider` | string | Rerank model provider |
+| `dify.retrieval.rerank_model` | string | Rerank model name |
+| `dify.retrieval.query` | string | Search query (content-gated) |
+| `dify.retrieval.document_count` | int | Documents retrieved |
+| `dify.retrieval.duration` | float | Duration (seconds) |
+| `dify.retrieval.status` | string | `succeeded`, `failed` |
+| `dify.retrieval.error` | string | Error message (if failed) |
+| `dify.dataset.documents` | JSON array | Documents (content-gated) |
+
+#### `dify.generate_name.execution`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.generate_name.execution"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.conversation.id` | string | Conversation identifier |
+| `dify.generate_name.duration` | float | Duration (seconds) |
+| `dify.generate_name.status` | string | `succeeded`, `failed` |
+| `dify.generate_name.error` | string | Error message (if failed) |
+| `dify.generate_name.inputs` | string/JSON | Inputs (content-gated) |
+| `dify.generate_name.outputs` | string | Generated name (content-gated) |
+
+#### `dify.prompt_generation.execution`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.prompt_generation.execution"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.prompt_generation.operation_type` | string | Operation type (see appendix) |
+| `gen_ai.provider.name` | string | LLM provider |
+| `gen_ai.request.model` | string | LLM model |
+| `gen_ai.usage.input_tokens` | int | Input tokens |
+| `gen_ai.usage.output_tokens` | int | Output tokens |
+| `gen_ai.usage.total_tokens` | int | Total tokens |
+| `dify.prompt_generation.duration` | float | Duration (seconds) |
+| `dify.prompt_generation.status` | string | `succeeded`, `failed` |
+| `dify.prompt_generation.error` | string | Error message (if failed) |
+| `dify.prompt_generation.instruction` | string | Instruction (content-gated) |
+| `dify.prompt_generation.output` | string/JSON | Output (content-gated) |
+
+#### `dify.app.created`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.app.created"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.app.mode` | string | `chat`, `completion`, `agent-chat`, `workflow` |
+| `dify.app.created_at` | string | Timestamp (ISO 8601) |
+
+#### `dify.app.updated`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.app.updated"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.app.updated_at` | string | Timestamp (ISO 8601) |
+
+#### `dify.app.deleted`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.app.deleted"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.app.deleted_at` | string | Timestamp (ISO 8601) |
+
+#### `dify.feedback.created`
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.feedback.created"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `trace_id` | string | OTEL trace ID |
+| `span_id` | string | OTEL span ID |
+| `tenant_id` | string | Tenant identifier |
+| `dify.app_id` | string | Application identifier |
+| `dify.message.id` | string | Message identifier |
+| `dify.feedback.rating` | string | `like`, `dislike`, `null` |
+| `dify.feedback.content` | string | Feedback text (content-gated) |
+| `dify.feedback.created_at` | string | Timestamp (ISO 8601) |
+
+#### `dify.telemetry.rehydration_failed`
+
+Diagnostic event for telemetry system health monitoring.
+
+| Attribute | Type | Description |
+|-----------|------|-------------|
+| `dify.event.name` | string | `"dify.telemetry.rehydration_failed"` |
+| `dify.event.signal` | string | `"metric_only"` |
+| `tenant_id` | string | Tenant identifier |
+| `dify.telemetry.error` | string | Error message |
+| `dify.telemetry.payload_type` | string | Payload type (see appendix) |
+| `dify.telemetry.correlation_id` | string | Correlation ID |
+
+## Content-Gated Attributes
+
+When `ENTERPRISE_INCLUDE_CONTENT=false`, these attributes are replaced with reference strings (`ref:{id_type}={uuid}`).
+
+| Attribute | Signal |
+|-----------|--------|
+| `dify.workflow.inputs` | `dify.workflow.run` |
+| `dify.workflow.outputs` | `dify.workflow.run` |
+| `dify.workflow.query` | `dify.workflow.run` |
+| `dify.node.inputs` | `dify.node.execution` |
+| `dify.node.outputs` | `dify.node.execution` |
+| `dify.node.process_data` | `dify.node.execution` |
+| `dify.message.inputs` | `dify.message.run` |
+| `dify.message.outputs` | `dify.message.run` |
+| `dify.tool.inputs` | `dify.tool.execution` |
+| `dify.tool.outputs` | `dify.tool.execution` |
+| `dify.tool.parameters` | `dify.tool.execution` |
+| `dify.tool.config` | `dify.tool.execution` |
+| `dify.moderation.query` | `dify.moderation.check` |
+| `dify.suggested_question.questions` | `dify.suggested_question.generation` |
+| `dify.retrieval.query` | `dify.dataset.retrieval` |
+| `dify.dataset.documents` | `dify.dataset.retrieval` |
+| `dify.generate_name.inputs` | `dify.generate_name.execution` |
+| `dify.generate_name.outputs` | `dify.generate_name.execution` |
+| `dify.prompt_generation.instruction` | `dify.prompt_generation.execution` |
+| `dify.prompt_generation.output` | `dify.prompt_generation.execution` |
+| `dify.feedback.content` | `dify.feedback.created` |
+
+## Appendix
+
+### Operation Types
+
+- `workflow`, `node_execution`, `message`, `rule_generate`, `code_generate`, `structured_output`, `instruction_modify`
+
+### Node Types
+
+- `start`, `end`, `answer`, `llm`, `knowledge-retrieval`, `knowledge-index`, `if-else`, `code`, `template-transform`, `question-classifier`, `http-request`, `tool`, `datasource`, `variable-aggregator`, `loop`, `iteration`, `parameter-extractor`, `assigner`, `document-extractor`, `list-operator`, `agent`, `trigger-webhook`, `trigger-schedule`, `trigger-plugin`, `human-input`
+
+### Workflow Statuses
+
+- `running`, `succeeded`, `failed`, `stopped`, `partial-succeeded`, `paused`
+
+### Payload Types
+
+- `workflow`, `node`, `message`, `tool`, `moderation`, `suggested_question`, `dataset_retrieval`, `generate_name`, `prompt_generation`, `app`, `feedback`
+
+### Null Value Behavior
+
+**Spans:** Attributes with `null` values are omitted.
+
+**Logs:** Attributes with `null` values appear as `null` in JSON.
+
+**Content-Gated:** Replaced with reference strings, not set to `null`.

api/enterprise/telemetry/README.md

@@ -0,0 +1,121 @@
+# Dify Enterprise Telemetry
+
+This document provides an overview of the Dify Enterprise OpenTelemetry (OTEL) exporter and how to configure it for integration with observability stacks like Prometheus, Grafana, Jaeger, or Honeycomb.
+
+## Overview
+
+Dify Enterprise uses a "slim span + rich companion log" architecture to provide high-fidelity observability without overwhelming trace storage.
+
+- **Traces (Spans)**: Capture the structure, identity, and timing of high-level operations (Workflows and Nodes).
+- **Structured Logs**: Provide deep context (inputs, outputs, metadata) for every event, correlated to spans via `trace_id` and `span_id`.
+- **Metrics**: Provide 100% accurate counters and histograms for usage, performance, and error tracking.
+
+### Signal Architecture
+
+```mermaid
+graph TD
+    A[Workflow Run] -->|Span| B(dify.workflow.run)
+    A -->|Log| C(dify.workflow.run detail)
+    B ---|trace_id| C
+    
+    D[Node Execution] -->|Span| E(dify.node.execution)
+    D -->|Log| F(dify.node.execution detail)
+    E ---|span_id| F
+    
+    G[Message/Tool/etc] -->|Log| H(dify.* event)
+    G -->|Metric| I(dify.* counter/histogram)
+```
+
+## Configuration
+
+The Enterprise OTEL exporter is configured via environment variables.
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `ENTERPRISE_ENABLED` | Master switch for all enterprise features. | `false` |
+| `ENTERPRISE_TELEMETRY_ENABLED` | Master switch for enterprise telemetry. | `false` |
+| `ENTERPRISE_OTLP_ENDPOINT` | OTLP collector endpoint (e.g., `http://otel-collector:4318`). | - |
+| `ENTERPRISE_OTLP_HEADERS` | Custom headers for OTLP requests (e.g., `x-scope-orgid=tenant1`). | - |
+| `ENTERPRISE_OTLP_PROTOCOL` | OTLP transport protocol (`http` or `grpc`). | `http` |
+| `ENTERPRISE_OTLP_API_KEY` | Bearer token for authentication. | - |
+| `ENTERPRISE_INCLUDE_CONTENT` | Whether to include sensitive content (inputs/outputs) in logs. | `false` |
+| `ENTERPRISE_SERVICE_NAME` | Service name reported to OTEL. | `dify` |
+| `ENTERPRISE_OTEL_SAMPLING_RATE` | Sampling rate for traces (0.0 to 1.0). Metrics are always 100%. | `1.0` |
+
+## Correlation Model
+
+Dify uses deterministic ID generation to ensure signals are correlated across different services and asynchronous tasks.
+
+### ID Generation Rules
+
+- `trace_id`: Derived from the correlation ID (workflow_run_id or node_execution_id for drafts) using `int(UUID(correlation_id))`
+- `span_id`: Derived from the source ID using the lower 64 bits of `UUID(source_id)`
+
+### Scenario A: Simple Workflow
+
+A single workflow run with multiple nodes. All spans and logs share the same `trace_id` (derived from `workflow_run_id`).
+
+```
+trace_id = UUID(workflow_run_id)
+├── [root span] dify.workflow.run (span_id = hash(workflow_run_id))
+│   ├── [child] dify.node.execution - "Start" (span_id = hash(node_exec_id_1))
+│   ├── [child] dify.node.execution - "LLM" (span_id = hash(node_exec_id_2))
+│   └── [child] dify.node.execution - "End" (span_id = hash(node_exec_id_3))
+```
+
+### Scenario B: Nested Sub-Workflow
+
+A workflow calling another workflow via a Tool or Sub-workflow node. The child workflow's spans are linked to the parent via `parent_span_id`. Both workflows share the same trace_id.
+
+```
+trace_id = UUID(outer_workflow_run_id)     ← shared across both workflows
+├── [root] dify.workflow.run (outer) (span_id = hash(outer_workflow_run_id))
+│   ├── dify.node.execution - "Start Node"
+│   ├── dify.node.execution - "Tool Node" (triggers sub-workflow)
+│   │   └── [child] dify.workflow.run (inner) (span_id = hash(inner_workflow_run_id))
+│   │       ├── dify.node.execution - "Inner Start"
+│   │       └── dify.node.execution - "Inner End"
+│   └── dify.node.execution - "End Node"
+```
+
+**Key attributes for nested workflows:**
+
+- Inner workflow's `dify.parent.trace_id` = outer `workflow_run_id`
+- Inner workflow's `dify.parent.node.execution_id` = tool node's `execution_id`
+- Inner workflow's `dify.parent.workflow.run_id` = outer `workflow_run_id`
+- Inner workflow's `dify.parent.app.id` = outer `app_id`
+
+### Scenario C: Draft Node Execution
+
+A single node run in isolation (debugger/preview mode). It creates its own trace where the node span is the root.
+
+```
+trace_id = UUID(node_execution_id)   ← own trace, NOT part of any workflow
+└── dify.node.execution.draft (span_id = hash(node_execution_id))
+```
+
+**Key difference:** Draft executions use `node_execution_id` as the correlation_id, so they are NOT children of any workflow trace.
+
+## Content Gating
+
+When `ENTERPRISE_INCLUDE_CONTENT` is set to `false`, sensitive content attributes (inputs, outputs, queries) are replaced with reference strings (e.g., `ref:workflow_run_id=...`) to prevent data leakage to the OTEL collector.
+
+**Reference String Format:**
+
+```
+ref:{id_type}={uuid}
+```
+
+**Examples:**
+
+```
+ref:workflow_run_id=550e8400-e29b-41d4-a716-446655440000
+ref:node_execution_id=660e8400-e29b-41d4-a716-446655440001
+ref:message_id=770e8400-e29b-41d4-a716-446655440002
+```
+
+To retrieve actual content when gating is enabled, query the Dify database using the provided UUID.
+
+## Reference
+
+For a complete list of telemetry signals, attributes, and data structures, see [DATA_DICTIONARY.md](./DATA_DICTIONARY.md).

api/enterprise/telemetry/contracts.py

@@ -0,0 +1,73 @@
+"""Telemetry gateway contracts and data structures.
+
+This module defines the envelope format for telemetry events and the routing
+configuration that determines how each event type is processed.
+"""
+
+from __future__ import annotations
+
+from enum import StrEnum
+from typing import Any
+
+from pydantic import BaseModel, ConfigDict
+
+
+class TelemetryCase(StrEnum):
+    """Enumeration of all known telemetry event cases."""
+
+    WORKFLOW_RUN = "workflow_run"
+    NODE_EXECUTION = "node_execution"
+    DRAFT_NODE_EXECUTION = "draft_node_execution"
+    MESSAGE_RUN = "message_run"
+    TOOL_EXECUTION = "tool_execution"
+    MODERATION_CHECK = "moderation_check"
+    SUGGESTED_QUESTION = "suggested_question"
+    DATASET_RETRIEVAL = "dataset_retrieval"
+    GENERATE_NAME = "generate_name"
+    PROMPT_GENERATION = "prompt_generation"
+    APP_CREATED = "app_created"
+    APP_UPDATED = "app_updated"
+    APP_DELETED = "app_deleted"
+    FEEDBACK_CREATED = "feedback_created"
+
+
+class SignalType(StrEnum):
+    """Signal routing type for telemetry cases."""
+
+    TRACE = "trace"
+    METRIC_LOG = "metric_log"
+
+
+class CaseRoute(BaseModel):
+    """Routing configuration for a telemetry case.
+
+    Attributes:
+        signal_type: The type of signal (trace or metric_log).
+        ce_eligible: Whether this case is eligible for community edition tracing.
+    """
+
+    signal_type: SignalType
+    ce_eligible: bool
+
+
+class TelemetryEnvelope(BaseModel):
+    """Envelope for telemetry events.
+
+    Attributes:
+        case: The telemetry case type.
+        tenant_id: The tenant identifier.
+        event_id: Unique event identifier for deduplication.
+        payload: The main event payload (inline for small payloads,
+            empty when offloaded to storage via ``payload_ref``).
+        metadata: Optional metadata dictionary.  When the gateway
+            offloads a large payload to object storage, this contains
+            ``{"payload_ref": "<storage_key>"}``.
+    """
+
+    model_config = ConfigDict(extra="forbid", use_enum_values=False)
+
+    case: TelemetryCase
+    tenant_id: str
+    event_id: str
+    payload: dict[str, Any]
+    metadata: dict[str, Any] | None = None

api/enterprise/telemetry/draft_trace.py

@@ -0,0 +1,89 @@
+from __future__ import annotations
+
+from collections.abc import Mapping
+from typing import Any
+
+from core.telemetry import TelemetryContext, TelemetryEvent, TraceTaskName
+from core.telemetry import emit as telemetry_emit
+from dify_graph.enums import WorkflowNodeExecutionMetadataKey
+from models.workflow import WorkflowNodeExecutionModel
+
+
+def enqueue_draft_node_execution_trace(
+    *,
+    execution: WorkflowNodeExecutionModel,
+    outputs: Mapping[str, Any] | None,
+    workflow_execution_id: str | None,
+    user_id: str,
+) -> None:
+    node_data = _build_node_execution_data(
+        execution=execution,
+        outputs=outputs,
+        workflow_execution_id=workflow_execution_id,
+    )
+    telemetry_emit(
+        TelemetryEvent(
+            name=TraceTaskName.DRAFT_NODE_EXECUTION_TRACE,
+            context=TelemetryContext(
+                tenant_id=execution.tenant_id,
+                user_id=user_id,
+                app_id=execution.app_id,
+            ),
+            payload={"node_execution_data": node_data},
+        )
+    )
+
+
+def _build_node_execution_data(
+    *,
+    execution: WorkflowNodeExecutionModel,
+    outputs: Mapping[str, Any] | None,
+    workflow_execution_id: str | None,
+) -> dict[str, Any]:
+    metadata = execution.execution_metadata_dict
+    node_outputs = outputs if outputs is not None else execution.outputs_dict
+    execution_id = workflow_execution_id or execution.workflow_run_id or execution.id
+    process_data = execution.process_data_dict or {}
+
+    # Extract token breakdown from outputs.usage (set by LLM node)
+    usage: Mapping[str, Any] = {}
+    if isinstance(node_outputs, Mapping):
+        raw_usage = node_outputs.get("usage")
+        if isinstance(raw_usage, Mapping):
+            usage = raw_usage
+
+    return {
+        "workflow_id": execution.workflow_id,
+        "workflow_execution_id": execution_id,
+        "tenant_id": execution.tenant_id,
+        "app_id": execution.app_id,
+        "node_execution_id": execution.id,
+        "node_id": execution.node_id,
+        "node_type": execution.node_type,
+        "title": execution.title,
+        "status": execution.status,
+        "error": execution.error,
+        "elapsed_time": execution.elapsed_time,
+        "index": execution.index,
+        "predecessor_node_id": execution.predecessor_node_id,
+        "created_at": execution.created_at,
+        "finished_at": execution.finished_at,
+        "total_tokens": metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS, 0),
+        "total_price": metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_PRICE, 0.0),
+        "currency": metadata.get(WorkflowNodeExecutionMetadataKey.CURRENCY),
+        "model_provider": process_data.get("model_provider"),
+        "model_name": process_data.get("model_name"),
+        "prompt_tokens": usage.get("prompt_tokens"),
+        "completion_tokens": usage.get("completion_tokens"),
+        "tool_name": (metadata.get(WorkflowNodeExecutionMetadataKey.TOOL_INFO) or {}).get("tool_name")
+        if isinstance(metadata.get(WorkflowNodeExecutionMetadataKey.TOOL_INFO), dict)
+        else None,
+        "iteration_id": metadata.get(WorkflowNodeExecutionMetadataKey.ITERATION_ID),
+        "iteration_index": metadata.get(WorkflowNodeExecutionMetadataKey.ITERATION_INDEX),
+        "loop_id": metadata.get(WorkflowNodeExecutionMetadataKey.LOOP_ID),
+        "loop_index": metadata.get(WorkflowNodeExecutionMetadataKey.LOOP_INDEX),
+        "parallel_id": metadata.get(WorkflowNodeExecutionMetadataKey.PARALLEL_ID),
+        "node_inputs": execution.inputs_dict,
+        "node_outputs": node_outputs,
+        "process_data": execution.process_data_dict,
+    }

api/enterprise/telemetry/enterprise_trace.py

@@ -0,0 +1,966 @@
+"""Enterprise trace handler — duck-typed, NOT a BaseTraceInstance subclass.
+
+Invoked directly in the Celery task, not through OpsTraceManager dispatch.
+Only requires a matching ``trace(trace_info)`` method signature.
+
+Signal strategy:
+- **Traces (spans)**: workflow run, node execution, draft node execution only.
+- **Metrics + structured logs**: all other event types.
+
+Token metric labels (unified structure):
+All token metrics (dify.tokens.input, dify.tokens.output, dify.tokens.total) use the
+same label set for consistent filtering and aggregation:
+- tenant_id: Tenant identifier
+- app_id: Application identifier
+- operation_type: Source of token usage (workflow | node_execution | message | rule_generate | etc.)
+- model_provider: LLM provider name (empty string if not applicable)
+- model_name: LLM model name (empty string if not applicable)
+- node_type: Workflow node type (empty string if not node_execution)
+
+This unified structure allows filtering by operation_type to separate:
+- Workflow-level aggregates (operation_type=workflow)
+- Individual node executions (operation_type=node_execution)
+- Direct message calls (operation_type=message)
+- Prompt generation operations (operation_type=rule_generate, code_generate, etc.)
+
+Without this, tokens are double-counted when querying totals (workflow totals include
+node totals, since workflow.total_tokens is the sum of all node tokens).
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+from typing import Any, cast
+
+from opentelemetry.util.types import AttributeValue
+
+from core.ops.entities.trace_entity import (
+    BaseTraceInfo,
+    DatasetRetrievalTraceInfo,
+    DraftNodeExecutionTrace,
+    GenerateNameTraceInfo,
+    MessageTraceInfo,
+    ModerationTraceInfo,
+    OperationType,
+    PromptGenerationTraceInfo,
+    SuggestedQuestionTraceInfo,
+    ToolTraceInfo,
+    WorkflowNodeTraceInfo,
+    WorkflowTraceInfo,
+)
+from enterprise.telemetry.entities import (
+    EnterpriseTelemetryCounter,
+    EnterpriseTelemetryEvent,
+    EnterpriseTelemetryHistogram,
+    EnterpriseTelemetrySpan,
+    TokenMetricLabels,
+)
+from enterprise.telemetry.telemetry_log import emit_metric_only_event, emit_telemetry_log
+
+logger = logging.getLogger(__name__)
+
+
+class EnterpriseOtelTrace:
+    """Duck-typed enterprise trace handler.
+
+    ``*_trace`` methods emit spans (workflow/node only) or structured logs
+    (all other events), plus metrics at 100 % accuracy.
+    """
+
+    def __init__(self) -> None:
+        from extensions.ext_enterprise_telemetry import get_enterprise_exporter
+
+        exporter = get_enterprise_exporter()
+        if exporter is None:
+            raise RuntimeError("EnterpriseOtelTrace instantiated but exporter is not initialized")
+        self._exporter = exporter
+
+    def trace(self, trace_info: BaseTraceInfo) -> None:
+        if isinstance(trace_info, WorkflowTraceInfo):
+            self._workflow_trace(trace_info)
+        elif isinstance(trace_info, MessageTraceInfo):
+            self._message_trace(trace_info)
+        elif isinstance(trace_info, ToolTraceInfo):
+            self._tool_trace(trace_info)
+        elif isinstance(trace_info, DraftNodeExecutionTrace):
+            self._draft_node_execution_trace(trace_info)
+        elif isinstance(trace_info, WorkflowNodeTraceInfo):
+            self._node_execution_trace(trace_info)
+        elif isinstance(trace_info, ModerationTraceInfo):
+            self._moderation_trace(trace_info)
+        elif isinstance(trace_info, SuggestedQuestionTraceInfo):
+            self._suggested_question_trace(trace_info)
+        elif isinstance(trace_info, DatasetRetrievalTraceInfo):
+            self._dataset_retrieval_trace(trace_info)
+        elif isinstance(trace_info, GenerateNameTraceInfo):
+            self._generate_name_trace(trace_info)
+        elif isinstance(trace_info, PromptGenerationTraceInfo):
+            self._prompt_generation_trace(trace_info)
+        else:
+            raise AssertionError("this statment should be unreachable")
+
+    def _common_attrs(self, trace_info: BaseTraceInfo) -> dict[str, Any]:
+        metadata = self._metadata(trace_info)
+        tenant_id, app_id, user_id = self._context_ids(trace_info, metadata)
+        return {
+            "dify.trace_id": trace_info.resolved_trace_id,
+            "dify.tenant_id": tenant_id,
+            "dify.app_id": app_id,
+            "dify.app.name": metadata.get("app_name"),
+            "dify.workspace.name": metadata.get("workspace_name"),
+            "gen_ai.user.id": user_id,
+            "dify.message.id": trace_info.message_id,
+        }
+
+    def _metadata(self, trace_info: BaseTraceInfo) -> dict[str, Any]:
+        return trace_info.metadata
+
+    def _context_ids(
+        self,
+        trace_info: BaseTraceInfo,
+        metadata: dict[str, Any],
+    ) -> tuple[str | None, str | None, str | None]:
+        tenant_id = getattr(trace_info, "tenant_id", None) or metadata.get("tenant_id")
+        app_id = getattr(trace_info, "app_id", None) or metadata.get("app_id")
+        user_id = getattr(trace_info, "user_id", None) or metadata.get("user_id")
+        return tenant_id, app_id, user_id
+
+    def _labels(self, **values: AttributeValue) -> dict[str, AttributeValue]:
+        return dict(values)
+
+    def _safe_payload_value(self, value: Any) -> str | dict[str, Any] | list[object] | None:
+        if isinstance(value, str):
+            return value
+        if isinstance(value, dict):
+            return cast(dict[str, Any], value)
+        if isinstance(value, list):
+            items: list[object] = []
+            for item in cast(list[object], value):
+                items.append(item)
+            return items
+        return None
+
+    def _content_or_ref(self, value: Any, ref: str) -> Any:
+        if self._exporter.include_content:
+            return self._maybe_json(value)
+        return ref
+
+    def _maybe_json(self, value: Any) -> str | None:
+        if value is None:
+            return None
+        if isinstance(value, str):
+            return value
+        try:
+            return json.dumps(value, default=str)
+        except (TypeError, ValueError):
+            return str(value)
+
+    # ------------------------------------------------------------------
+    # SPAN-emitting handlers (workflow, node execution, draft node)
+    # ------------------------------------------------------------------
+
+    def _workflow_trace(self, info: WorkflowTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        # -- Span attrs: identity + structure + status + timing + gen_ai scalars --
+        span_attrs: dict[str, Any] = {
+            "dify.trace_id": info.resolved_trace_id,
+            "dify.tenant_id": tenant_id,
+            "dify.app_id": app_id,
+            "dify.workflow.id": info.workflow_id,
+            "dify.workflow.run_id": info.workflow_run_id,
+            "dify.workflow.status": info.workflow_run_status,
+            "dify.workflow.error": info.error,
+            "dify.workflow.elapsed_time": info.workflow_run_elapsed_time,
+            "dify.invoke_from": metadata.get("triggered_from"),
+            "dify.conversation.id": info.conversation_id,
+            "dify.message.id": info.message_id,
+            "dify.invoked_by": info.invoked_by,
+            "gen_ai.usage.total_tokens": info.total_tokens,
+            "gen_ai.user.id": user_id,
+        }
+
+        trace_correlation_override, parent_span_id_source = info.resolved_parent_context
+
+        parent_ctx = metadata.get("parent_trace_context")
+        if isinstance(parent_ctx, dict):
+            parent_ctx_dict = cast(dict[str, Any], parent_ctx)
+            span_attrs["dify.parent.trace_id"] = parent_ctx_dict.get("trace_id")
+            span_attrs["dify.parent.node.execution_id"] = parent_ctx_dict.get("parent_node_execution_id")
+            span_attrs["dify.parent.workflow.run_id"] = parent_ctx_dict.get("parent_workflow_run_id")
+            span_attrs["dify.parent.app.id"] = parent_ctx_dict.get("parent_app_id")
+
+        self._exporter.export_span(
+            EnterpriseTelemetrySpan.WORKFLOW_RUN,
+            span_attrs,
+            correlation_id=info.workflow_run_id,
+            span_id_source=info.workflow_run_id,
+            start_time=info.start_time,
+            end_time=info.end_time,
+            trace_correlation_override=trace_correlation_override,
+            parent_span_id_source=parent_span_id_source,
+        )
+
+        # -- Companion log: ALL attrs (span + detail) for full picture --
+        log_attrs: dict[str, Any] = {**span_attrs}
+        log_attrs.update(
+            {
+                "dify.app.name": metadata.get("app_name"),
+                "dify.workspace.name": metadata.get("workspace_name"),
+                "gen_ai.user.id": user_id,
+                "gen_ai.usage.total_tokens": info.total_tokens,
+                "dify.workflow.version": info.workflow_run_version,
+            }
+        )
+
+        ref = f"ref:workflow_run_id={info.workflow_run_id}"
+        log_attrs["dify.workflow.inputs"] = self._content_or_ref(info.workflow_run_inputs, ref)
+        log_attrs["dify.workflow.outputs"] = self._content_or_ref(info.workflow_run_outputs, ref)
+        log_attrs["dify.workflow.query"] = self._content_or_ref(info.query, ref)
+
+        emit_telemetry_log(
+            event_name=EnterpriseTelemetryEvent.WORKFLOW_RUN,
+            attributes=log_attrs,
+            signal="span_detail",
+            trace_id_source=info.workflow_run_id,
+            span_id_source=info.workflow_run_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        # -- Metrics --
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+        )
+        token_labels = TokenMetricLabels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            operation_type=OperationType.WORKFLOW,
+            model_provider="",
+            model_name="",
+            node_type="",
+        ).to_dict()
+        self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, token_labels)
+        if info.prompt_tokens is not None and info.prompt_tokens > 0:
+            self._exporter.increment_counter(EnterpriseTelemetryCounter.INPUT_TOKENS, info.prompt_tokens, token_labels)
+        if info.completion_tokens is not None and info.completion_tokens > 0:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.OUTPUT_TOKENS, info.completion_tokens, token_labels
+            )
+        invoke_from = metadata.get("triggered_from", "")
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="workflow",
+                status=info.workflow_run_status,
+                invoke_from=invoke_from,
+            ),
+        )
+        # Prefer wall-clock timestamps over the elapsed_time field: elapsed_time defaults
+        # to 0 in the DB and can be stale if the Celery write races with the trace task.
+        # start_time = workflow_run.created_at, end_time = workflow_run.finished_at.
+        if info.start_time and info.end_time:
+            workflow_duration = (info.end_time - info.start_time).total_seconds()
+        elif info.workflow_run_elapsed_time:
+            workflow_duration = float(info.workflow_run_elapsed_time)
+        else:
+            workflow_duration = 0.0
+        self._exporter.record_histogram(
+            EnterpriseTelemetryHistogram.WORKFLOW_DURATION,
+            workflow_duration,
+            self._labels(
+                **labels,
+                status=info.workflow_run_status,
+            ),
+        )
+
+        if info.error:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.ERRORS,
+                1,
+                self._labels(
+                    **labels,
+                    type="workflow",
+                ),
+            )
+
+    def _node_execution_trace(self, info: WorkflowNodeTraceInfo) -> None:
+        self._emit_node_execution_trace(info, EnterpriseTelemetrySpan.NODE_EXECUTION, "node")
+
+    def _draft_node_execution_trace(self, info: DraftNodeExecutionTrace) -> None:
+        self._emit_node_execution_trace(
+            info,
+            EnterpriseTelemetrySpan.DRAFT_NODE_EXECUTION,
+            "draft_node",
+            correlation_id_override=info.node_execution_id,
+            trace_correlation_override_param=info.workflow_run_id,
+        )
+
+    def _emit_node_execution_trace(
+        self,
+        info: WorkflowNodeTraceInfo,
+        span_name: EnterpriseTelemetrySpan,
+        request_type: str,
+        correlation_id_override: str | None = None,
+        trace_correlation_override_param: str | None = None,
+    ) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        # -- Span attrs: identity + structure + status + timing + gen_ai scalars --
+        span_attrs: dict[str, Any] = {
+            "dify.trace_id": info.resolved_trace_id,
+            "dify.tenant_id": tenant_id,
+            "dify.app_id": app_id,
+            "dify.workflow.id": info.workflow_id,
+            "dify.workflow.run_id": info.workflow_run_id,
+            "dify.message.id": info.message_id,
+            "dify.conversation.id": metadata.get("conversation_id"),
+            "dify.node.execution_id": info.node_execution_id,
+            "dify.node.id": info.node_id,
+            "dify.node.type": info.node_type,
+            "dify.node.title": info.title,
+            "dify.node.status": info.status,
+            "dify.node.error": info.error,
+            "dify.node.elapsed_time": info.elapsed_time,
+            "dify.node.index": info.index,
+            "dify.node.predecessor_node_id": info.predecessor_node_id,
+            "dify.node.iteration_id": info.iteration_id,
+            "dify.node.loop_id": info.loop_id,
+            "dify.node.parallel_id": info.parallel_id,
+            "dify.node.invoked_by": info.invoked_by,
+            "gen_ai.usage.input_tokens": info.prompt_tokens,
+            "gen_ai.usage.output_tokens": info.completion_tokens,
+            "gen_ai.usage.total_tokens": info.total_tokens,
+            "gen_ai.request.model": info.model_name,
+            "gen_ai.provider.name": info.model_provider,
+            "gen_ai.user.id": user_id,
+        }
+
+        resolved_override, _ = info.resolved_parent_context
+        trace_correlation_override = trace_correlation_override_param or resolved_override
+
+        effective_correlation_id = correlation_id_override or info.workflow_run_id
+        self._exporter.export_span(
+            span_name,
+            span_attrs,
+            correlation_id=effective_correlation_id,
+            span_id_source=info.node_execution_id,
+            start_time=info.start_time,
+            end_time=info.end_time,
+            trace_correlation_override=trace_correlation_override,
+        )
+
+        # -- Companion log: ALL attrs (span + detail) --
+        log_attrs: dict[str, Any] = {**span_attrs}
+        log_attrs.update(
+            {
+                "dify.app.name": metadata.get("app_name"),
+                "dify.workspace.name": metadata.get("workspace_name"),
+                "dify.invoke_from": metadata.get("invoke_from"),
+                "gen_ai.user.id": user_id,
+                "gen_ai.usage.total_tokens": info.total_tokens,
+                "dify.node.total_price": info.total_price,
+                "dify.node.currency": info.currency,
+                "gen_ai.provider.name": info.model_provider,
+                "gen_ai.request.model": info.model_name,
+                "gen_ai.tool.name": info.tool_name,
+                "dify.node.iteration_index": info.iteration_index,
+                "dify.node.loop_index": info.loop_index,
+                "dify.plugin.name": metadata.get("plugin_name"),
+                "dify.credential.name": metadata.get("credential_name"),
+                "dify.credential.id": metadata.get("credential_id"),
+                "dify.dataset.ids": self._maybe_json(metadata.get("dataset_ids")),
+                "dify.dataset.names": self._maybe_json(metadata.get("dataset_names")),
+            }
+        )
+
+        ref = f"ref:node_execution_id={info.node_execution_id}"
+        log_attrs["dify.node.inputs"] = self._content_or_ref(info.node_inputs, ref)
+        log_attrs["dify.node.outputs"] = self._content_or_ref(info.node_outputs, ref)
+        log_attrs["dify.node.process_data"] = self._content_or_ref(info.process_data, ref)
+
+        emit_telemetry_log(
+            event_name=span_name.value,
+            attributes=log_attrs,
+            signal="span_detail",
+            trace_id_source=info.workflow_run_id,
+            span_id_source=info.node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        # -- Metrics --
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            node_type=info.node_type,
+            model_provider=info.model_provider or "",
+        )
+        if info.total_tokens:
+            token_labels = TokenMetricLabels(
+                tenant_id=tenant_id or "",
+                app_id=app_id or "",
+                operation_type=OperationType.NODE_EXECUTION,
+                model_provider=info.model_provider or "",
+                model_name=info.model_name or "",
+                node_type=info.node_type,
+            ).to_dict()
+            self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, token_labels)
+            if info.prompt_tokens is not None and info.prompt_tokens > 0:
+                self._exporter.increment_counter(
+                    EnterpriseTelemetryCounter.INPUT_TOKENS, info.prompt_tokens, token_labels
+                )
+            if info.completion_tokens is not None and info.completion_tokens > 0:
+                self._exporter.increment_counter(
+                    EnterpriseTelemetryCounter.OUTPUT_TOKENS, info.completion_tokens, token_labels
+                )
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type=request_type,
+                status=info.status,
+                model_name=info.model_name or "",
+            ),
+        )
+        duration_labels = dict(labels)
+        duration_labels["model_name"] = info.model_name or ""
+        plugin_name = metadata.get("plugin_name")
+        if plugin_name and info.node_type in {"tool", "knowledge-retrieval"}:
+            duration_labels["plugin_name"] = plugin_name
+        self._exporter.record_histogram(EnterpriseTelemetryHistogram.NODE_DURATION, info.elapsed_time, duration_labels)
+
+        if info.error:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.ERRORS,
+                1,
+                self._labels(
+                    **labels,
+                    type=request_type,
+                    model_name=info.model_name or "",
+                ),
+            )
+
+    # ------------------------------------------------------------------
+    # METRIC-ONLY handlers (structured log + counters/histograms)
+    # ------------------------------------------------------------------
+
+    def _message_trace(self, info: MessageTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = self._common_attrs(info)
+        attrs.update(
+            {
+                "dify.invoke_from": metadata.get("from_source"),
+                "dify.conversation.id": metadata.get("conversation_id"),
+                "dify.conversation.mode": info.conversation_mode,
+                "gen_ai.provider.name": metadata.get("ls_provider"),
+                "gen_ai.request.model": metadata.get("ls_model_name"),
+                "gen_ai.usage.input_tokens": info.message_tokens,
+                "gen_ai.usage.output_tokens": info.answer_tokens,
+                "gen_ai.usage.total_tokens": info.total_tokens,
+                "dify.message.status": metadata.get("status"),
+                "dify.message.error": info.error,
+                "dify.message.from_source": metadata.get("from_source"),
+                "dify.message.from_end_user_id": metadata.get("from_end_user_id"),
+                "dify.message.from_account_id": metadata.get("from_account_id"),
+                "dify.streaming": info.is_streaming_request,
+                "dify.message.time_to_first_token": info.gen_ai_server_time_to_first_token,
+                "dify.message.streaming_duration": info.llm_streaming_time_to_generate,
+                "dify.workflow.run_id": metadata.get("workflow_run_id"),
+            }
+        )
+
+        if info.start_time and info.end_time:
+            attrs["dify.message.duration"] = (info.end_time - info.start_time).total_seconds()
+
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        ref = f"ref:message_id={info.message_id}"
+        inputs = self._safe_payload_value(info.inputs)
+        outputs = self._safe_payload_value(info.outputs)
+        attrs["dify.message.inputs"] = self._content_or_ref(inputs, ref)
+        attrs["dify.message.outputs"] = self._content_or_ref(outputs, ref)
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.MESSAGE_RUN,
+            attributes=attrs,
+            trace_id_source=metadata.get("workflow_run_id") or (str(info.message_id) if info.message_id else None),
+            span_id_source=node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            model_provider=metadata.get("ls_provider") or "",
+            model_name=metadata.get("ls_model_name") or "",
+        )
+        token_labels = TokenMetricLabels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            operation_type=OperationType.MESSAGE,
+            model_provider=metadata.get("ls_provider") or "",
+            model_name=metadata.get("ls_model_name") or "",
+            node_type="",
+        ).to_dict()
+        self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, token_labels)
+        if info.message_tokens > 0:
+            self._exporter.increment_counter(EnterpriseTelemetryCounter.INPUT_TOKENS, info.message_tokens, token_labels)
+        if info.answer_tokens > 0:
+            self._exporter.increment_counter(EnterpriseTelemetryCounter.OUTPUT_TOKENS, info.answer_tokens, token_labels)
+        invoke_from = metadata.get("from_source", "")
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="message",
+                status=metadata.get("status", ""),
+                invoke_from=invoke_from,
+            ),
+        )
+
+        if info.start_time and info.end_time:
+            duration = (info.end_time - info.start_time).total_seconds()
+            self._exporter.record_histogram(EnterpriseTelemetryHistogram.MESSAGE_DURATION, duration, labels)
+
+        if info.gen_ai_server_time_to_first_token is not None:
+            self._exporter.record_histogram(
+                EnterpriseTelemetryHistogram.MESSAGE_TTFT, info.gen_ai_server_time_to_first_token, labels
+            )
+
+        if info.error:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.ERRORS,
+                1,
+                self._labels(
+                    **labels,
+                    type="message",
+                ),
+            )
+
+    def _tool_trace(self, info: ToolTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = self._common_attrs(info)
+        attrs.update(
+            {
+                "dify.tool.name": info.tool_name,
+                "dify.tool.duration": float(info.time_cost),
+                "dify.tool.status": "failed" if info.error else "succeeded",
+                "dify.tool.error": info.error,
+                "dify.workflow.run_id": metadata.get("workflow_run_id"),
+            }
+        )
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        ref = f"ref:message_id={info.message_id}"
+        attrs["dify.tool.inputs"] = self._content_or_ref(info.tool_inputs, ref)
+        attrs["dify.tool.outputs"] = self._content_or_ref(info.tool_outputs, ref)
+        attrs["dify.tool.parameters"] = self._content_or_ref(info.tool_parameters, ref)
+        attrs["dify.tool.config"] = self._content_or_ref(info.tool_config, ref)
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.TOOL_EXECUTION,
+            attributes=attrs,
+            trace_id_source=info.resolved_trace_id,
+            span_id_source=node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            tool_name=info.tool_name,
+        )
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="tool",
+            ),
+        )
+        self._exporter.record_histogram(EnterpriseTelemetryHistogram.TOOL_DURATION, float(info.time_cost), labels)
+
+        if info.error:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.ERRORS,
+                1,
+                self._labels(
+                    **labels,
+                    type="tool",
+                ),
+            )
+
+    def _moderation_trace(self, info: ModerationTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = self._common_attrs(info)
+        attrs.update(
+            {
+                "dify.moderation.flagged": info.flagged,
+                "dify.moderation.action": info.action,
+                "dify.moderation.preset_response": info.preset_response,
+                "dify.moderation.type": metadata.get("moderation_type", "input"),
+                "dify.moderation.categories": self._maybe_json(metadata.get("moderation_categories", [])),
+                "dify.workflow.run_id": metadata.get("workflow_run_id"),
+            }
+        )
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        attrs["dify.moderation.query"] = self._content_or_ref(
+            info.query,
+            f"ref:message_id={info.message_id}",
+        )
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.MODERATION_CHECK,
+            attributes=attrs,
+            trace_id_source=info.resolved_trace_id,
+            span_id_source=node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+        )
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="moderation",
+            ),
+        )
+
+    def _suggested_question_trace(self, info: SuggestedQuestionTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = self._common_attrs(info)
+        duration: float | None = None
+        if info.start_time is not None and info.end_time is not None:
+            duration = (info.end_time - info.start_time).total_seconds()
+        error = info.error or (info.metadata.get("error") if info.metadata else None)
+        status = "failed" if error else (info.status or "succeeded")
+        attrs.update(
+            {
+                "gen_ai.usage.total_tokens": info.total_tokens,
+                "dify.suggested_question.status": status,
+                "dify.suggested_question.error": error,
+                "dify.suggested_question.duration": duration,
+                "gen_ai.provider.name": info.model_provider,
+                "gen_ai.request.model": info.model_id,
+                "dify.suggested_question.count": len(info.suggested_question),
+                "dify.workflow.run_id": metadata.get("workflow_run_id"),
+            }
+        )
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        attrs["dify.suggested_question.questions"] = self._content_or_ref(
+            info.suggested_question,
+            f"ref:message_id={info.message_id}",
+        )
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.SUGGESTED_QUESTION_GENERATION,
+            attributes=attrs,
+            trace_id_source=info.resolved_trace_id,
+            span_id_source=node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+        )
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="suggested_question",
+                model_provider=info.model_provider or "",
+                model_name=info.model_id or "",
+            ),
+        )
+
+    def _dataset_retrieval_trace(self, info: DatasetRetrievalTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = self._common_attrs(info)
+        attrs["dify.retrieval.error"] = info.error
+        attrs["dify.retrieval.status"] = "failed" if info.error else "succeeded"
+        if info.start_time and info.end_time:
+            attrs["dify.retrieval.duration"] = (info.end_time - info.start_time).total_seconds()
+        attrs["dify.workflow.run_id"] = metadata.get("workflow_run_id")
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        docs: list[dict[str, Any]] = []
+        documents_any: Any = info.documents
+        documents_list: list[Any] = cast(list[Any], documents_any) if isinstance(documents_any, list) else []
+        for entry in documents_list:
+            if isinstance(entry, dict):
+                entry_dict: dict[str, Any] = cast(dict[str, Any], entry)
+                docs.append(entry_dict)
+        dataset_ids: list[str] = []
+        dataset_names: list[str] = []
+        structured_docs: list[dict[str, Any]] = []
+        for doc in docs:
+            meta_raw = doc.get("metadata")
+            meta: dict[str, Any] = cast(dict[str, Any], meta_raw) if isinstance(meta_raw, dict) else {}
+            did = meta.get("dataset_id")
+            dname = meta.get("dataset_name")
+            if did and did not in dataset_ids:
+                dataset_ids.append(did)
+            if dname and dname not in dataset_names:
+                dataset_names.append(dname)
+            structured_docs.append(
+                {
+                    "dataset_id": did,
+                    "document_id": meta.get("document_id"),
+                    "segment_id": meta.get("segment_id"),
+                    "score": meta.get("score"),
+                }
+            )
+
+        attrs["dify.dataset.id"] = self._maybe_json(dataset_ids)
+        attrs["dify.dataset.name"] = self._maybe_json(dataset_names)
+        attrs["dify.retrieval.document_count"] = len(docs)
+
+        embedding_models_raw: Any = metadata.get("embedding_models")
+        embedding_models: dict[str, Any] = (
+            cast(dict[str, Any], embedding_models_raw) if isinstance(embedding_models_raw, dict) else {}
+        )
+        if embedding_models:
+            providers: list[str] = []
+            models: list[str] = []
+            for ds_info in embedding_models.values():
+                if isinstance(ds_info, dict):
+                    ds_info_dict: dict[str, Any] = cast(dict[str, Any], ds_info)
+                    p = ds_info_dict.get("embedding_model_provider", "")
+                    m = ds_info_dict.get("embedding_model", "")
+                    if p and p not in providers:
+                        providers.append(p)
+                    if m and m not in models:
+                        models.append(m)
+            attrs["dify.dataset.embedding_providers"] = self._maybe_json(providers)
+            attrs["dify.dataset.embedding_models"] = self._maybe_json(models)
+
+        # Add rerank model to logs
+        rerank_provider = metadata.get("rerank_model_provider", "")
+        rerank_model = metadata.get("rerank_model_name", "")
+        if rerank_provider or rerank_model:
+            attrs["dify.retrieval.rerank_provider"] = rerank_provider
+            attrs["dify.retrieval.rerank_model"] = rerank_model
+
+        ref = f"ref:message_id={info.message_id}"
+        retrieval_inputs = self._safe_payload_value(info.inputs)
+        attrs["dify.retrieval.query"] = self._content_or_ref(retrieval_inputs, ref)
+        attrs["dify.dataset.documents"] = self._content_or_ref(structured_docs, ref)
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.DATASET_RETRIEVAL,
+            attributes=attrs,
+            trace_id_source=metadata.get("workflow_run_id") or (str(info.message_id) if info.message_id else None),
+            span_id_source=node_execution_id or (str(info.message_id) if info.message_id else None),
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+        )
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="dataset_retrieval",
+            ),
+        )
+
+        for did in dataset_ids:
+            # Get embedding model for this specific dataset
+            ds_embedding_info = embedding_models.get(did, {})
+            embedding_provider = ds_embedding_info.get("embedding_model_provider", "")
+            embedding_model = ds_embedding_info.get("embedding_model", "")
+
+            # Get rerank model (same for all datasets in this retrieval)
+            rerank_provider = metadata.get("rerank_model_provider", "")
+            rerank_model = metadata.get("rerank_model_name", "")
+
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.DATASET_RETRIEVALS,
+                1,
+                self._labels(
+                    **labels,
+                    dataset_id=did,
+                    embedding_model_provider=embedding_provider,
+                    embedding_model=embedding_model,
+                    rerank_model_provider=rerank_provider,
+                    rerank_model=rerank_model,
+                ),
+            )
+
+    def _generate_name_trace(self, info: GenerateNameTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = self._common_attrs(info)
+        attrs["dify.conversation.id"] = info.conversation_id
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        duration: float | None = None
+        if info.start_time is not None and info.end_time is not None:
+            duration = (info.end_time - info.start_time).total_seconds()
+        error: str | None = metadata.get("error") if metadata else None
+        status = "failed" if error else "succeeded"
+        attrs["dify.generate_name.duration"] = duration
+        attrs["dify.generate_name.status"] = status
+        attrs["dify.generate_name.error"] = error
+
+        ref = f"ref:conversation_id={info.conversation_id}"
+        inputs = self._safe_payload_value(info.inputs)
+        outputs = self._safe_payload_value(info.outputs)
+        attrs["dify.generate_name.inputs"] = self._content_or_ref(inputs, ref)
+        attrs["dify.generate_name.outputs"] = self._content_or_ref(outputs, ref)
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.GENERATE_NAME_EXECUTION,
+            attributes=attrs,
+            trace_id_source=info.resolved_trace_id,
+            span_id_source=node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+        )
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="generate_name",
+            ),
+        )
+
+    def _prompt_generation_trace(self, info: PromptGenerationTraceInfo) -> None:
+        metadata = self._metadata(info)
+        tenant_id, app_id, user_id = self._context_ids(info, metadata)
+        attrs = {
+            "dify.trace_id": info.resolved_trace_id,
+            "dify.tenant_id": tenant_id,
+            "gen_ai.user.id": user_id,
+            "dify.app_id": app_id or "",
+            "dify.app.name": metadata.get("app_name"),
+            "dify.workspace.name": metadata.get("workspace_name"),
+            "dify.prompt_generation.operation_type": info.operation_type,
+            "gen_ai.provider.name": info.model_provider,
+            "gen_ai.request.model": info.model_name,
+            "gen_ai.usage.input_tokens": info.prompt_tokens,
+            "gen_ai.usage.output_tokens": info.completion_tokens,
+            "gen_ai.usage.total_tokens": info.total_tokens,
+            "dify.prompt_generation.duration": info.latency,
+            "dify.prompt_generation.status": "failed" if info.error else "succeeded",
+            "dify.prompt_generation.error": info.error,
+        }
+        node_execution_id = metadata.get("node_execution_id")
+        if node_execution_id:
+            attrs["dify.node.execution_id"] = node_execution_id
+
+        if info.total_price is not None:
+            attrs["dify.prompt_generation.total_price"] = info.total_price
+            attrs["dify.prompt_generation.currency"] = info.currency
+
+        ref = f"ref:trace_id={info.trace_id}"
+        outputs = self._safe_payload_value(info.outputs)
+        attrs["dify.prompt_generation.instruction"] = self._content_or_ref(info.instruction, ref)
+        attrs["dify.prompt_generation.output"] = self._content_or_ref(outputs, ref)
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.PROMPT_GENERATION_EXECUTION,
+            attributes=attrs,
+            trace_id_source=info.resolved_trace_id,
+            span_id_source=node_execution_id,
+            tenant_id=tenant_id,
+            user_id=user_id,
+        )
+
+        token_labels = TokenMetricLabels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            operation_type=info.operation_type,
+            model_provider=info.model_provider,
+            model_name=info.model_name,
+            node_type="",
+        ).to_dict()
+
+        labels = self._labels(
+            tenant_id=tenant_id or "",
+            app_id=app_id or "",
+            operation_type=info.operation_type,
+            model_provider=info.model_provider,
+            model_name=info.model_name,
+        )
+
+        self._exporter.increment_counter(EnterpriseTelemetryCounter.TOKENS, info.total_tokens, token_labels)
+        if info.prompt_tokens > 0:
+            self._exporter.increment_counter(EnterpriseTelemetryCounter.INPUT_TOKENS, info.prompt_tokens, token_labels)
+        if info.completion_tokens > 0:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.OUTPUT_TOKENS, info.completion_tokens, token_labels
+            )
+
+        prompt_status = "failed" if info.error else "succeeded"
+        self._exporter.increment_counter(
+            EnterpriseTelemetryCounter.REQUESTS,
+            1,
+            self._labels(
+                **labels,
+                type="prompt_generation",
+                status=prompt_status,
+            ),
+        )
+
+        self._exporter.record_histogram(
+            EnterpriseTelemetryHistogram.PROMPT_GENERATION_DURATION,
+            info.latency,
+            labels,
+        )
+
+        if info.error:
+            self._exporter.increment_counter(
+                EnterpriseTelemetryCounter.ERRORS,
+                1,
+                self._labels(
+                    **labels,
+                    type="prompt_generation",
+                ),
+            )

api/enterprise/telemetry/entities/__init__.py

@@ -0,0 +1,121 @@
+from enum import StrEnum
+from typing import cast
+
+from opentelemetry.util.types import AttributeValue
+from pydantic import BaseModel, ConfigDict
+
+
+class EnterpriseTelemetrySpan(StrEnum):
+    WORKFLOW_RUN = "dify.workflow.run"
+    NODE_EXECUTION = "dify.node.execution"
+    DRAFT_NODE_EXECUTION = "dify.node.execution.draft"
+
+
+class EnterpriseTelemetryEvent(StrEnum):
+    """Event names for enterprise telemetry logs."""
+
+    APP_CREATED = "dify.app.created"
+    APP_UPDATED = "dify.app.updated"
+    APP_DELETED = "dify.app.deleted"
+    FEEDBACK_CREATED = "dify.feedback.created"
+    WORKFLOW_RUN = "dify.workflow.run"
+    MESSAGE_RUN = "dify.message.run"
+    TOOL_EXECUTION = "dify.tool.execution"
+    MODERATION_CHECK = "dify.moderation.check"
+    SUGGESTED_QUESTION_GENERATION = "dify.suggested_question.generation"
+    DATASET_RETRIEVAL = "dify.dataset.retrieval"
+    GENERATE_NAME_EXECUTION = "dify.generate_name.execution"
+    PROMPT_GENERATION_EXECUTION = "dify.prompt_generation.execution"
+    REHYDRATION_FAILED = "dify.telemetry.rehydration_failed"
+
+
+class EnterpriseTelemetryCounter(StrEnum):
+    TOKENS = "tokens"
+    INPUT_TOKENS = "input_tokens"
+    OUTPUT_TOKENS = "output_tokens"
+    REQUESTS = "requests"
+    ERRORS = "errors"
+    FEEDBACK = "feedback"
+    DATASET_RETRIEVALS = "dataset_retrievals"
+    APP_CREATED = "app_created"
+    APP_UPDATED = "app_updated"
+    APP_DELETED = "app_deleted"
+
+
+class EnterpriseTelemetryHistogram(StrEnum):
+    WORKFLOW_DURATION = "workflow_duration"
+    NODE_DURATION = "node_duration"
+    MESSAGE_DURATION = "message_duration"
+    MESSAGE_TTFT = "message_ttft"
+    TOOL_DURATION = "tool_duration"
+    PROMPT_GENERATION_DURATION = "prompt_generation_duration"
+
+
+class TokenMetricLabels(BaseModel):
+    """Unified label structure for all dify.token.* metrics.
+
+    All token counters (dify.tokens.input, dify.tokens.output, dify.tokens.total) MUST
+    use this exact label set to ensure consistent filtering and aggregation across
+    different operation types.
+
+    Attributes:
+        tenant_id: Tenant identifier.
+        app_id: Application identifier.
+        operation_type: Source of token usage (workflow | node_execution | message |
+            rule_generate | code_generate | structured_output | instruction_modify).
+        model_provider: LLM provider name. Empty string if not applicable (e.g., workflow-level).
+        model_name: LLM model name. Empty string if not applicable (e.g., workflow-level).
+        node_type: Workflow node type. Empty string unless operation_type=node_execution.
+
+    Usage:
+        labels = TokenMetricLabels(
+            tenant_id="tenant-123",
+            app_id="app-456",
+            operation_type=OperationType.WORKFLOW,
+            model_provider="",
+            model_name="",
+            node_type="",
+        )
+        exporter.increment_counter(
+            EnterpriseTelemetryCounter.INPUT_TOKENS,
+            100,
+            labels.to_dict()
+        )
+
+    Design rationale:
+        Without this unified structure, tokens get double-counted when querying totals
+        because workflow.total_tokens is already the sum of all node tokens. The
+        operation_type label allows filtering to separate workflow-level aggregates from
+        node-level detail, while keeping the same label cardinality for consistent queries.
+    """
+
+    tenant_id: str
+    app_id: str
+    operation_type: str
+    model_provider: str
+    model_name: str
+    node_type: str
+
+    model_config = ConfigDict(extra="forbid", frozen=True)
+
+    def to_dict(self) -> dict[str, AttributeValue]:
+        return cast(
+            dict[str, AttributeValue],
+            {
+                "tenant_id": self.tenant_id,
+                "app_id": self.app_id,
+                "operation_type": self.operation_type,
+                "model_provider": self.model_provider,
+                "model_name": self.model_name,
+                "node_type": self.node_type,
+            },
+        )
+
+
+__all__ = [
+    "EnterpriseTelemetryCounter",
+    "EnterpriseTelemetryEvent",
+    "EnterpriseTelemetryHistogram",
+    "EnterpriseTelemetrySpan",
+    "TokenMetricLabels",
+]

api/enterprise/telemetry/event_handlers.py

@@ -0,0 +1,72 @@
+"""Blinker signal handlers for enterprise telemetry.
+
+Registered at import time via ``@signal.connect`` decorators.
+Import must happen during ``ext_enterprise_telemetry.init_app()`` to
+ensure handlers fire.  Each handler delegates to ``core.telemetry.gateway``
+which handles routing, EE-gating, and dispatch.
+
+All handlers are best-effort: exceptions are caught and logged so that
+telemetry failures never break user-facing operations.
+"""
+
+from __future__ import annotations
+
+import logging
+
+from events.app_event import app_was_created, app_was_deleted, app_was_updated
+
+logger = logging.getLogger(__name__)
+
+__all__ = [
+    "_handle_app_created",
+    "_handle_app_deleted",
+    "_handle_app_updated",
+]
+
+
+@app_was_created.connect
+def _handle_app_created(sender: object, **kwargs: object) -> None:
+    try:
+        from core.telemetry.gateway import emit as gateway_emit
+        from enterprise.telemetry.contracts import TelemetryCase
+
+        gateway_emit(
+            case=TelemetryCase.APP_CREATED,
+            context={"tenant_id": str(getattr(sender, "tenant_id", "") or "")},
+            payload={
+                "app_id": getattr(sender, "id", None),
+                "mode": getattr(sender, "mode", None),
+            },
+        )
+    except Exception:
+        logger.warning("Failed to emit app_created telemetry", exc_info=True)
+
+
+@app_was_updated.connect
+def _handle_app_updated(sender: object, **kwargs: object) -> None:
+    try:
+        from core.telemetry.gateway import emit as gateway_emit
+        from enterprise.telemetry.contracts import TelemetryCase
+
+        gateway_emit(
+            case=TelemetryCase.APP_UPDATED,
+            context={"tenant_id": str(getattr(sender, "tenant_id", "") or "")},
+            payload={"app_id": getattr(sender, "id", None)},
+        )
+    except Exception:
+        logger.warning("Failed to emit app_updated telemetry", exc_info=True)
+
+
+@app_was_deleted.connect
+def _handle_app_deleted(sender: object, **kwargs: object) -> None:
+    try:
+        from core.telemetry.gateway import emit as gateway_emit
+        from enterprise.telemetry.contracts import TelemetryCase
+
+        gateway_emit(
+            case=TelemetryCase.APP_DELETED,
+            context={"tenant_id": str(getattr(sender, "tenant_id", "") or "")},
+            payload={"app_id": getattr(sender, "id", None)},
+        )
+    except Exception:
+        logger.warning("Failed to emit app_deleted telemetry", exc_info=True)

api/enterprise/telemetry/exporter.py

@@ -0,0 +1,283 @@
+"""Enterprise OTEL exporter — shared by EnterpriseOtelTrace, event handlers, and direct instrumentation.
+
+Uses dedicated TracerProvider and MeterProvider instances (configurable sampling,
+independent from ext_otel.py infrastructure).
+
+Initialized once during Flask extension init (single-threaded via ext_enterprise_telemetry.py).
+Accessed via ``ext_enterprise_telemetry.get_enterprise_exporter()`` from any thread/process.
+"""
+
+import logging
+import socket
+import uuid
+from datetime import UTC, datetime
+from typing import Any, cast
+
+from opentelemetry import trace
+from opentelemetry.baggage import get_all
+from opentelemetry.baggage.propagation import W3CBaggagePropagator
+from opentelemetry.context import Context
+from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter as GRPCMetricExporter
+from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter as GRPCSpanExporter
+from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter as HTTPMetricExporter
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter as HTTPSpanExporter
+from opentelemetry.sdk.metrics import MeterProvider
+from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+from opentelemetry.sdk.trace.sampling import ParentBasedTraceIdRatio
+from opentelemetry.semconv.resource import ResourceAttributes
+from opentelemetry.trace import SpanContext, TraceFlags
+from opentelemetry.util.types import Attributes, AttributeValue
+
+from configs import dify_config
+from enterprise.telemetry.entities import EnterpriseTelemetryCounter, EnterpriseTelemetryHistogram
+from enterprise.telemetry.id_generator import (
+    CorrelationIdGenerator,
+    compute_deterministic_span_id,
+    set_correlation_id,
+    set_span_id_source,
+)
+
+logger = logging.getLogger(__name__)
+
+
+def is_enterprise_telemetry_enabled() -> bool:
+    return bool(dify_config.ENTERPRISE_ENABLED and dify_config.ENTERPRISE_TELEMETRY_ENABLED)
+
+
+def _parse_otlp_headers(raw: str) -> dict[str, str]:
+    ctx = W3CBaggagePropagator().extract({"baggage": raw})
+    return {k: v for k, v in get_all(ctx).items() if isinstance(v, str)}
+
+
+def _datetime_to_ns(dt: datetime) -> int:
+    """Convert a datetime to nanoseconds since epoch (OTEL convention)."""
+    # Ensure we always interpret naive datetimes as UTC instead of local time.
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=UTC)
+    else:
+        dt = dt.astimezone(UTC)
+    return int(dt.timestamp() * 1_000_000_000)
+
+
+class _ExporterFactory:
+    def __init__(self, protocol: str, endpoint: str, headers: dict[str, str], insecure: bool):
+        self._protocol = protocol
+        self._endpoint = endpoint
+        self._headers = headers
+        self._grpc_headers = tuple(headers.items()) if headers else None
+        self._http_headers = headers or None
+        self._insecure = insecure
+
+    def create_trace_exporter(self) -> HTTPSpanExporter | GRPCSpanExporter:
+        if self._protocol == "grpc":
+            return GRPCSpanExporter(
+                endpoint=self._endpoint or None,
+                headers=self._grpc_headers,
+                insecure=self._insecure,
+            )
+        trace_endpoint = f"{self._endpoint}/v1/traces" if self._endpoint else ""
+        return HTTPSpanExporter(endpoint=trace_endpoint or None, headers=self._http_headers)
+
+    def create_metric_exporter(self) -> HTTPMetricExporter | GRPCMetricExporter:
+        if self._protocol == "grpc":
+            return GRPCMetricExporter(
+                endpoint=self._endpoint or None,
+                headers=self._grpc_headers,
+                insecure=self._insecure,
+            )
+        metric_endpoint = f"{self._endpoint}/v1/metrics" if self._endpoint else ""
+        return HTTPMetricExporter(endpoint=metric_endpoint or None, headers=self._http_headers)
+
+
+class EnterpriseExporter:
+    """Shared OTEL exporter for all enterprise telemetry.
+
+    ``export_span`` creates spans with optional real timestamps, deterministic
+    span/trace IDs, and cross-workflow parent linking.
+    ``increment_counter`` / ``record_histogram`` emit OTEL metrics at 100% accuracy.
+    """
+
+    def __init__(self, config: object) -> None:
+        endpoint: str = getattr(config, "ENTERPRISE_OTLP_ENDPOINT", "")
+        headers_raw: str = getattr(config, "ENTERPRISE_OTLP_HEADERS", "")
+        protocol: str = (getattr(config, "ENTERPRISE_OTLP_PROTOCOL", "http") or "http").lower()
+        service_name: str = getattr(config, "ENTERPRISE_SERVICE_NAME", "dify")
+        sampling_rate: float = getattr(config, "ENTERPRISE_OTEL_SAMPLING_RATE", 1.0)
+        self.include_content: bool = getattr(config, "ENTERPRISE_INCLUDE_CONTENT", True)
+        api_key: str = getattr(config, "ENTERPRISE_OTLP_API_KEY", "")
+
+        # Auto-detect TLS: https:// uses secure, everything else is insecure
+        insecure = not endpoint.startswith("https://")
+
+        resource = Resource(
+            attributes={
+                ResourceAttributes.SERVICE_NAME: service_name,
+                ResourceAttributes.HOST_NAME: socket.gethostname(),
+            }
+        )
+        sampler = ParentBasedTraceIdRatio(sampling_rate)
+        id_generator = CorrelationIdGenerator()
+        self._tracer_provider = TracerProvider(resource=resource, sampler=sampler, id_generator=id_generator)
+
+        headers = _parse_otlp_headers(headers_raw)
+        if api_key:
+            if "authorization" in headers:
+                logger.warning(
+                    "ENTERPRISE_OTLP_API_KEY is set but ENTERPRISE_OTLP_HEADERS also contains "
+                    "'authorization'; the API key will take precedence."
+                )
+            headers["authorization"] = f"Bearer {api_key}"
+        factory = _ExporterFactory(protocol, endpoint, headers, insecure=insecure)
+
+        trace_exporter = factory.create_trace_exporter()
+        self._tracer_provider.add_span_processor(BatchSpanProcessor(trace_exporter))
+        self._tracer = self._tracer_provider.get_tracer("dify.enterprise")
+
+        metric_exporter = factory.create_metric_exporter()
+        self._meter_provider = MeterProvider(
+            resource=resource,
+            metric_readers=[PeriodicExportingMetricReader(metric_exporter)],
+        )
+        meter = self._meter_provider.get_meter("dify.enterprise")
+        self._counters = {
+            EnterpriseTelemetryCounter.TOKENS: meter.create_counter("dify.tokens.total", unit="{token}"),
+            EnterpriseTelemetryCounter.INPUT_TOKENS: meter.create_counter("dify.tokens.input", unit="{token}"),
+            EnterpriseTelemetryCounter.OUTPUT_TOKENS: meter.create_counter("dify.tokens.output", unit="{token}"),
+            EnterpriseTelemetryCounter.REQUESTS: meter.create_counter("dify.requests.total", unit="{request}"),
+            EnterpriseTelemetryCounter.ERRORS: meter.create_counter("dify.errors.total", unit="{error}"),
+            EnterpriseTelemetryCounter.FEEDBACK: meter.create_counter("dify.feedback.total", unit="{feedback}"),
+            EnterpriseTelemetryCounter.DATASET_RETRIEVALS: meter.create_counter(
+                "dify.dataset.retrievals.total", unit="{retrieval}"
+            ),
+            EnterpriseTelemetryCounter.APP_CREATED: meter.create_counter("dify.app.created.total", unit="{app}"),
+            EnterpriseTelemetryCounter.APP_UPDATED: meter.create_counter("dify.app.updated.total", unit="{app}"),
+            EnterpriseTelemetryCounter.APP_DELETED: meter.create_counter("dify.app.deleted.total", unit="{app}"),
+        }
+        self._histograms = {
+            EnterpriseTelemetryHistogram.WORKFLOW_DURATION: meter.create_histogram("dify.workflow.duration", unit="s"),
+            EnterpriseTelemetryHistogram.NODE_DURATION: meter.create_histogram("dify.node.duration", unit="s"),
+            EnterpriseTelemetryHistogram.MESSAGE_DURATION: meter.create_histogram("dify.message.duration", unit="s"),
+            EnterpriseTelemetryHistogram.MESSAGE_TTFT: meter.create_histogram(
+                "dify.message.time_to_first_token", unit="s"
+            ),
+            EnterpriseTelemetryHistogram.TOOL_DURATION: meter.create_histogram("dify.tool.duration", unit="s"),
+            EnterpriseTelemetryHistogram.PROMPT_GENERATION_DURATION: meter.create_histogram(
+                "dify.prompt_generation.duration", unit="s"
+            ),
+        }
+
+    def export_span(
+        self,
+        name: str,
+        attributes: dict[str, Any],
+        correlation_id: str | None = None,
+        span_id_source: str | None = None,
+        start_time: datetime | None = None,
+        end_time: datetime | None = None,
+        trace_correlation_override: str | None = None,
+        parent_span_id_source: str | None = None,
+    ) -> None:
+        """Export an OTEL span with optional deterministic IDs and real timestamps.
+
+        Args:
+            name: Span operation name.
+            attributes: Span attributes dict.
+            correlation_id: Source for trace_id derivation (groups spans in one trace).
+            span_id_source: Source for deterministic span_id (e.g. workflow_run_id or node_execution_id).
+            start_time: Real span start time. When None, uses current time.
+            end_time: Real span end time. When None, span ends immediately.
+            trace_correlation_override: Override trace_id source (for cross-workflow linking).
+                When set, trace_id is derived from this instead of ``correlation_id``.
+            parent_span_id_source: Override parent span_id source (for cross-workflow linking).
+                When set, parent span_id is derived from this value. When None and
+                ``correlation_id`` is set, parent is the workflow root span.
+        """
+        effective_trace_correlation = trace_correlation_override or correlation_id
+        set_correlation_id(effective_trace_correlation)
+        set_span_id_source(span_id_source)
+
+        try:
+            parent_context: Context | None = None
+            # A span is the "root" of its correlation group when span_id_source == correlation_id
+            # (i.e. a workflow root span).  All other spans are children.
+            if parent_span_id_source:
+                # Cross-workflow linking: parent is an explicit span (e.g. tool node in outer workflow)
+                parent_span_id = compute_deterministic_span_id(parent_span_id_source)
+                try:
+                    parent_trace_id = int(uuid.UUID(effective_trace_correlation)) if effective_trace_correlation else 0
+                except (ValueError, AttributeError):
+                    logger.warning(
+                        "Invalid trace correlation UUID for cross-workflow link: %s, span=%s",
+                        effective_trace_correlation,
+                        name,
+                    )
+                    parent_trace_id = 0
+                if parent_trace_id:
+                    parent_span_context = SpanContext(
+                        trace_id=parent_trace_id,
+                        span_id=parent_span_id,
+                        is_remote=True,
+                        trace_flags=TraceFlags(TraceFlags.SAMPLED),
+                    )
+                    parent_context = trace.set_span_in_context(trace.NonRecordingSpan(parent_span_context))
+            elif correlation_id and correlation_id != span_id_source:
+                # Child span: parent is the correlation-group root (workflow root span)
+                parent_span_id = compute_deterministic_span_id(correlation_id)
+                try:
+                    parent_trace_id = int(uuid.UUID(effective_trace_correlation or correlation_id))
+                except (ValueError, AttributeError):
+                    logger.warning(
+                        "Invalid trace correlation UUID for child span link: %s, span=%s",
+                        effective_trace_correlation or correlation_id,
+                        name,
+                    )
+                    parent_trace_id = 0
+                if parent_trace_id:
+                    parent_span_context = SpanContext(
+                        trace_id=parent_trace_id,
+                        span_id=parent_span_id,
+                        is_remote=True,
+                        trace_flags=TraceFlags(TraceFlags.SAMPLED),
+                    )
+                    parent_context = trace.set_span_in_context(trace.NonRecordingSpan(parent_span_context))
+
+            span_start_time = _datetime_to_ns(start_time) if start_time is not None else None
+            span_end_on_exit = end_time is None
+
+            with self._tracer.start_as_current_span(
+                name,
+                context=parent_context,
+                start_time=span_start_time,
+                end_on_exit=span_end_on_exit,
+            ) as span:
+                for key, value in attributes.items():
+                    if value is not None:
+                        span.set_attribute(key, value)
+                if end_time is not None:
+                    span.end(end_time=_datetime_to_ns(end_time))
+        except Exception:
+            logger.exception("Failed to export span %s", name)
+        finally:
+            set_correlation_id(None)
+            set_span_id_source(None)
+
+    def increment_counter(
+        self, name: EnterpriseTelemetryCounter, value: int, labels: dict[str, AttributeValue]
+    ) -> None:
+        counter = self._counters.get(name)
+        if counter:
+            counter.add(value, cast(Attributes, labels))
+
+    def record_histogram(
+        self, name: EnterpriseTelemetryHistogram, value: float, labels: dict[str, AttributeValue]
+    ) -> None:
+        histogram = self._histograms.get(name)
+        if histogram:
+            histogram.record(value, cast(Attributes, labels))
+
+    def shutdown(self) -> None:
+        self._tracer_provider.shutdown()
+        self._meter_provider.shutdown()

api/enterprise/telemetry/id_generator.py

@@ -0,0 +1,75 @@
+"""Custom OTEL ID Generator for correlation-based trace/span ID derivation.
+
+Uses contextvars for thread-safe correlation_id -> trace_id mapping.
+When a span_id_source is set, the span_id is derived deterministically
+from that value, enabling any span to reference another as parent
+without depending on span creation order.
+"""
+
+import random
+import uuid
+from contextvars import ContextVar
+
+from opentelemetry.sdk.trace.id_generator import IdGenerator
+
+_correlation_id_context: ContextVar[str | None] = ContextVar("correlation_id", default=None)
+_span_id_source_context: ContextVar[str | None] = ContextVar("span_id_source", default=None)
+
+
+def set_correlation_id(correlation_id: str | None) -> None:
+    _correlation_id_context.set(correlation_id)
+
+
+def get_correlation_id() -> str | None:
+    return _correlation_id_context.get()
+
+
+def set_span_id_source(source_id: str | None) -> None:
+    """Set the source for deterministic span_id generation.
+
+    When set, ``generate_span_id()`` derives the span_id from this value
+    (lower 64 bits of the UUID).  Pass the ``workflow_run_id`` for workflow
+    root spans or ``node_execution_id`` for node spans.
+    """
+    _span_id_source_context.set(source_id)
+
+
+def compute_deterministic_span_id(source_id: str) -> int:
+    """Derive a deterministic span_id from any UUID string.
+
+    Uses the lower 64 bits of the UUID, guaranteeing non-zero output
+    (OTEL requires span_id != 0).
+    """
+    span_id = uuid.UUID(source_id).int & ((1 << 64) - 1)
+    return span_id if span_id != 0 else 1
+
+
+class CorrelationIdGenerator(IdGenerator):
+    """ID generator that derives trace_id and optionally span_id from context.
+
+    - trace_id: always derived from correlation_id (groups all spans in one trace)
+    - span_id: derived from span_id_source when set (enables deterministic
+      parent-child linking), otherwise random
+    """
+
+    def generate_trace_id(self) -> int:
+        correlation_id = _correlation_id_context.get()
+        if correlation_id:
+            try:
+                return uuid.UUID(correlation_id).int
+            except (ValueError, AttributeError):
+                pass
+        return random.getrandbits(128)
+
+    def generate_span_id(self) -> int:
+        source = _span_id_source_context.get()
+        if source:
+            try:
+                return compute_deterministic_span_id(source)
+            except (ValueError, AttributeError):
+                pass
+
+        span_id = random.getrandbits(64)
+        while span_id == 0:
+            span_id = random.getrandbits(64)
+        return span_id

api/enterprise/telemetry/metric_handler.py

@@ -0,0 +1,421 @@
+"""Enterprise metric/log event handler.
+
+This module processes metric and log telemetry events after they've been
+dequeued from the enterprise_telemetry Celery queue. It handles case routing,
+idempotency checking, and payload rehydration.
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+from datetime import UTC, datetime
+from typing import Any
+
+from enterprise.telemetry.contracts import TelemetryCase, TelemetryEnvelope
+from extensions.ext_redis import redis_client
+from extensions.ext_storage import storage
+
+logger = logging.getLogger(__name__)
+
+
+class EnterpriseMetricHandler:
+    """Handler for enterprise metric and log telemetry events.
+
+    Processes envelopes from the enterprise_telemetry queue, routing each
+    case to the appropriate handler method. Implements idempotency checking
+    and payload rehydration with fallback.
+    """
+
+    def _increment_diagnostic_counter(self, counter_name: str, labels: dict[str, str] | None = None) -> None:
+        """Increment a diagnostic counter for operational monitoring.
+
+        Args:
+            counter_name: Name of the counter (e.g., 'processed_total', 'deduped_total').
+            labels: Optional labels for the counter.
+        """
+        try:
+            from extensions.ext_enterprise_telemetry import get_enterprise_exporter
+
+            exporter = get_enterprise_exporter()
+            if not exporter:
+                return
+
+            full_counter_name = f"enterprise_telemetry.handler.{counter_name}"
+            logger.debug(
+                "Diagnostic counter: %s, labels=%s",
+                full_counter_name,
+                labels or {},
+            )
+        except Exception:
+            logger.debug("Failed to increment diagnostic counter: %s", counter_name, exc_info=True)
+
+    def handle(self, envelope: TelemetryEnvelope) -> None:
+        """Main entry point for processing telemetry envelopes.
+
+        Args:
+            envelope: The telemetry envelope to process.
+        """
+        # Check for duplicate events
+        if self._is_duplicate(envelope):
+            logger.debug(
+                "Skipping duplicate event: tenant_id=%s, event_id=%s",
+                envelope.tenant_id,
+                envelope.event_id,
+            )
+            self._increment_diagnostic_counter("deduped_total")
+            return
+
+        # Route to appropriate handler based on case
+        case = envelope.case
+        if case == TelemetryCase.APP_CREATED:
+            self._on_app_created(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "app_created"})
+        elif case == TelemetryCase.APP_UPDATED:
+            self._on_app_updated(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "app_updated"})
+        elif case == TelemetryCase.APP_DELETED:
+            self._on_app_deleted(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "app_deleted"})
+        elif case == TelemetryCase.FEEDBACK_CREATED:
+            self._on_feedback_created(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "feedback_created"})
+        elif case == TelemetryCase.MESSAGE_RUN:
+            self._on_message_run(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "message_run"})
+        elif case == TelemetryCase.TOOL_EXECUTION:
+            self._on_tool_execution(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "tool_execution"})
+        elif case == TelemetryCase.MODERATION_CHECK:
+            self._on_moderation_check(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "moderation_check"})
+        elif case == TelemetryCase.SUGGESTED_QUESTION:
+            self._on_suggested_question(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "suggested_question"})
+        elif case == TelemetryCase.DATASET_RETRIEVAL:
+            self._on_dataset_retrieval(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "dataset_retrieval"})
+        elif case == TelemetryCase.GENERATE_NAME:
+            self._on_generate_name(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "generate_name"})
+        elif case == TelemetryCase.PROMPT_GENERATION:
+            self._on_prompt_generation(envelope)
+            self._increment_diagnostic_counter("processed_total", {"case": "prompt_generation"})
+        else:
+            logger.warning(
+                "Unknown telemetry case: %s (tenant_id=%s, event_id=%s)",
+                case,
+                envelope.tenant_id,
+                envelope.event_id,
+            )
+
+    def _is_duplicate(self, envelope: TelemetryEnvelope) -> bool:
+        """Check if this event has already been processed.
+
+        Uses Redis with TTL for deduplication. Returns True if duplicate,
+        False if first time seeing this event.
+
+        Args:
+            envelope: The telemetry envelope to check.
+
+        Returns:
+            True if this event_id has been seen before, False otherwise.
+        """
+        dedup_key = f"telemetry:dedup:{envelope.tenant_id}:{envelope.event_id}"
+
+        try:
+            # Atomic set-if-not-exists with 1h TTL
+            # Returns True if key was set (first time), None if already exists (duplicate)
+            was_set = redis_client.set(dedup_key, b"1", nx=True, ex=3600)
+            return was_set is None
+        except Exception:
+            # Fail open: if Redis is unavailable, process the event
+            # (prefer occasional duplicate over lost data)
+            logger.warning(
+                "Redis unavailable for deduplication check, processing event anyway: %s",
+                envelope.event_id,
+                exc_info=True,
+            )
+            return False
+
+    def _rehydrate(self, envelope: TelemetryEnvelope) -> dict[str, Any]:
+        """Rehydrate payload from storage reference or inline data.
+
+        If the envelope payload is empty and metadata contains a
+        ``payload_ref``, the full payload is loaded from object storage
+        (where the gateway wrote it as JSON).  When both the inline
+        payload and storage resolution fail, a degraded-event marker
+        is emitted so the gap is observable.
+
+        Args:
+            envelope: The telemetry envelope containing payload data.
+
+        Returns:
+            The rehydrated payload dictionary, or ``{}`` on total failure.
+        """
+        payload = envelope.payload
+
+        # Resolve from object storage when the gateway offloaded a large payload.
+        if not payload and envelope.metadata:
+            payload_ref = envelope.metadata.get("payload_ref")
+            if payload_ref:
+                try:
+                    payload_bytes = storage.load(payload_ref)
+                    payload = json.loads(payload_bytes.decode("utf-8"))
+                    logger.debug("Loaded payload from storage: key=%s", payload_ref)
+                except Exception:
+                    logger.warning(
+                        "Failed to load payload from storage: key=%s, event_id=%s",
+                        payload_ref,
+                        envelope.event_id,
+                        exc_info=True,
+                    )
+
+        if not payload:
+            # Storage resolution failed or no data available — emit degraded event.
+            logger.error(
+                "Payload rehydration failed for event_id=%s, tenant_id=%s, case=%s",
+                envelope.event_id,
+                envelope.tenant_id,
+                envelope.case,
+            )
+            from enterprise.telemetry.entities import EnterpriseTelemetryEvent
+            from enterprise.telemetry.telemetry_log import emit_metric_only_event
+
+            emit_metric_only_event(
+                event_name=EnterpriseTelemetryEvent.REHYDRATION_FAILED,
+                attributes={
+                    "tenant_id": envelope.tenant_id,
+                    "dify.telemetry.error": f"Payload rehydration failed for event_id={envelope.event_id}",
+                    "dify.telemetry.payload_type": envelope.case,
+                    "dify.telemetry.correlation_id": envelope.event_id,
+                },
+                tenant_id=envelope.tenant_id,
+            )
+            self._increment_diagnostic_counter("rehydration_failed_total")
+            return {}
+
+        return payload
+
+    # Stub methods for each metric/log case
+    # These will be implemented in later tasks with actual emission logic
+
+    def _on_app_created(self, envelope: TelemetryEnvelope) -> None:
+        """Handle app created event."""
+        from enterprise.telemetry.entities import EnterpriseTelemetryCounter, EnterpriseTelemetryEvent
+        from enterprise.telemetry.telemetry_log import emit_metric_only_event
+        from extensions.ext_enterprise_telemetry import get_enterprise_exporter
+
+        exporter = get_enterprise_exporter()
+        if not exporter:
+            logger.debug("No exporter available for APP_CREATED: event_id=%s", envelope.event_id)
+            return
+
+        payload = self._rehydrate(envelope)
+        if not payload:
+            return
+
+        attrs = {
+            "dify.app_id": payload.get("app_id"),
+            "dify.tenant_id": envelope.tenant_id,
+            "dify.event.id": envelope.event_id,
+            "dify.app.mode": payload.get("mode"),
+            "dify.app.created_at": datetime.now(UTC).isoformat(),
+        }
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.APP_CREATED,
+            attributes=attrs,
+            tenant_id=envelope.tenant_id,
+        )
+        exporter.increment_counter(
+            EnterpriseTelemetryCounter.APP_CREATED,
+            1,
+            {
+                "tenant_id": envelope.tenant_id,
+                "app_id": str(payload.get("app_id", "")),
+                "mode": str(payload.get("mode", "")),
+            },
+        )
+
+    def _on_app_updated(self, envelope: TelemetryEnvelope) -> None:
+        """Handle app updated event."""
+        from enterprise.telemetry.entities import EnterpriseTelemetryCounter, EnterpriseTelemetryEvent
+        from enterprise.telemetry.telemetry_log import emit_metric_only_event
+        from extensions.ext_enterprise_telemetry import get_enterprise_exporter
+
+        exporter = get_enterprise_exporter()
+        if not exporter:
+            logger.debug("No exporter available for APP_UPDATED: event_id=%s", envelope.event_id)
+            return
+
+        payload = self._rehydrate(envelope)
+        if not payload:
+            return
+
+        attrs = {
+            "dify.app_id": payload.get("app_id"),
+            "dify.tenant_id": envelope.tenant_id,
+            "dify.event.id": envelope.event_id,
+            "dify.app.updated_at": datetime.now(UTC).isoformat(),
+        }
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.APP_UPDATED,
+            attributes=attrs,
+            tenant_id=envelope.tenant_id,
+        )
+        exporter.increment_counter(
+            EnterpriseTelemetryCounter.APP_UPDATED,
+            1,
+            {
+                "tenant_id": envelope.tenant_id,
+                "app_id": str(payload.get("app_id", "")),
+            },
+        )
+
+    def _on_app_deleted(self, envelope: TelemetryEnvelope) -> None:
+        """Handle app deleted event."""
+        from enterprise.telemetry.entities import EnterpriseTelemetryCounter, EnterpriseTelemetryEvent
+        from enterprise.telemetry.telemetry_log import emit_metric_only_event
+        from extensions.ext_enterprise_telemetry import get_enterprise_exporter
+
+        exporter = get_enterprise_exporter()
+        if not exporter:
+            logger.debug("No exporter available for APP_DELETED: event_id=%s", envelope.event_id)
+            return
+
+        payload = self._rehydrate(envelope)
+        if not payload:
+            return
+
+        attrs = {
+            "dify.app_id": payload.get("app_id"),
+            "dify.tenant_id": envelope.tenant_id,
+            "dify.event.id": envelope.event_id,
+            "dify.app.deleted_at": datetime.now(UTC).isoformat(),
+        }
+
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.APP_DELETED,
+            attributes=attrs,
+            tenant_id=envelope.tenant_id,
+        )
+        exporter.increment_counter(
+            EnterpriseTelemetryCounter.APP_DELETED,
+            1,
+            {
+                "tenant_id": envelope.tenant_id,
+                "app_id": str(payload.get("app_id", "")),
+            },
+        )
+
+    def _on_feedback_created(self, envelope: TelemetryEnvelope) -> None:
+        """Handle feedback created event."""
+        from enterprise.telemetry.entities import EnterpriseTelemetryCounter, EnterpriseTelemetryEvent
+        from enterprise.telemetry.telemetry_log import emit_metric_only_event
+        from extensions.ext_enterprise_telemetry import get_enterprise_exporter
+
+        exporter = get_enterprise_exporter()
+        if not exporter:
+            logger.debug("No exporter available for FEEDBACK_CREATED: event_id=%s", envelope.event_id)
+            return
+
+        payload = self._rehydrate(envelope)
+        if not payload:
+            return
+
+        include_content = exporter.include_content
+        attrs: dict = {
+            "dify.message.id": payload.get("message_id"),
+            "dify.tenant_id": envelope.tenant_id,
+            "dify.event.id": envelope.event_id,
+            "dify.app_id": payload.get("app_id"),
+            "dify.conversation.id": payload.get("conversation_id"),
+            "gen_ai.user.id": payload.get("from_end_user_id") or payload.get("from_account_id"),
+            "dify.feedback.rating": payload.get("rating"),
+            "dify.feedback.from_source": payload.get("from_source"),
+            "dify.feedback.created_at": datetime.now(UTC).isoformat(),
+        }
+        if include_content:
+            attrs["dify.feedback.content"] = payload.get("content")
+
+        user_id = payload.get("from_end_user_id") or payload.get("from_account_id")
+        emit_metric_only_event(
+            event_name=EnterpriseTelemetryEvent.FEEDBACK_CREATED,
+            attributes=attrs,
+            tenant_id=envelope.tenant_id,
+            user_id=str(user_id or ""),
+        )
+        exporter.increment_counter(
+            EnterpriseTelemetryCounter.FEEDBACK,
+            1,
+            {
+                "tenant_id": envelope.tenant_id,
+                "app_id": str(payload.get("app_id", "")),
+                "rating": str(payload.get("rating", "")),
+            },
+        )
+
+    def _on_message_run(self, envelope: TelemetryEnvelope) -> None:
+        """Handle message run event.
+
+        Intentionally a no-op: metrics and structured logs for message runs are
+        emitted directly by EnterpriseOtelTrace._message_trace at trace time,
+        not through the metric handler queue path.
+        """
+        logger.debug("Processing MESSAGE_RUN: event_id=%s", envelope.event_id)
+
+    def _on_tool_execution(self, envelope: TelemetryEnvelope) -> None:
+        """Handle tool execution event.
+
+        Intentionally a no-op: metrics and structured logs for tool executions
+        are emitted directly by EnterpriseOtelTrace._tool_trace at trace time,
+        not through the metric handler queue path.
+        """
+        logger.debug("Processing TOOL_EXECUTION: event_id=%s", envelope.event_id)
+
+    def _on_moderation_check(self, envelope: TelemetryEnvelope) -> None:
+        """Handle moderation check event.
+
+        Intentionally a no-op: metrics and structured logs for moderation checks
+        are emitted directly by EnterpriseOtelTrace._moderation_trace at trace time,
+        not through the metric handler queue path.
+        """
+        logger.debug("Processing MODERATION_CHECK: event_id=%s", envelope.event_id)
+
+    def _on_suggested_question(self, envelope: TelemetryEnvelope) -> None:
+        """Handle suggested question event.
+
+        Intentionally a no-op: metrics and structured logs for suggested questions
+        are emitted directly by EnterpriseOtelTrace._suggested_question_trace at
+        trace time, not through the metric handler queue path.
+        """
+        logger.debug("Processing SUGGESTED_QUESTION: event_id=%s", envelope.event_id)
+
+    def _on_dataset_retrieval(self, envelope: TelemetryEnvelope) -> None:
+        """Handle dataset retrieval event.
+
+        Intentionally a no-op: metrics and structured logs for dataset retrievals
+        are emitted directly by EnterpriseOtelTrace._dataset_retrieval_trace at
+        trace time, not through the metric handler queue path.
+        """
+        logger.debug("Processing DATASET_RETRIEVAL: event_id=%s", envelope.event_id)
+
+    def _on_generate_name(self, envelope: TelemetryEnvelope) -> None:
+        """Handle generate name event.
+
+        Intentionally a no-op: metrics and structured logs for generate name
+        operations are emitted directly by EnterpriseOtelTrace._generate_name_trace
+        at trace time, not through the metric handler queue path.
+        """
+        logger.debug("Processing GENERATE_NAME: event_id=%s", envelope.event_id)
+
+    def _on_prompt_generation(self, envelope: TelemetryEnvelope) -> None:
+        """Handle prompt generation event.
+
+        Intentionally a no-op: metrics and structured logs for prompt generation
+        operations are emitted directly by EnterpriseOtelTrace._prompt_generation_trace
+        at trace time, not through the metric handler queue path.
+        """
+        logger.debug("Processing PROMPT_GENERATION: event_id=%s", envelope.event_id)

api/enterprise/telemetry/telemetry_log.py

@@ -0,0 +1,122 @@
+"""Structured-log emitter for enterprise telemetry events.
+
+Emits structured JSON log lines correlated with OTEL traces via trace_id.
+Picked up by ``StructuredJSONFormatter`` → stdout/Loki/Elastic.
+"""
+
+from __future__ import annotations
+
+import logging
+import uuid
+from functools import lru_cache
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:
+    from enterprise.telemetry.entities import EnterpriseTelemetryEvent
+
+logger = logging.getLogger("dify.telemetry")
+
+
+@lru_cache(maxsize=4096)
+def compute_trace_id_hex(uuid_str: str | None) -> str:
+    """Convert a business UUID string to a 32-hex OTEL-compatible trace_id.
+
+    Returns empty string when *uuid_str* is ``None`` or invalid.
+    """
+    if not uuid_str:
+        return ""
+    normalized = uuid_str.strip().lower()
+    if len(normalized) == 32 and all(ch in "0123456789abcdef" for ch in normalized):
+        return normalized
+    try:
+        return f"{uuid.UUID(normalized).int:032x}"
+    except (ValueError, AttributeError):
+        return ""
+
+
+@lru_cache(maxsize=4096)
+def compute_span_id_hex(uuid_str: str | None) -> str:
+    if not uuid_str:
+        return ""
+    normalized = uuid_str.strip().lower()
+    if len(normalized) == 16 and all(ch in "0123456789abcdef" for ch in normalized):
+        return normalized
+    try:
+        from enterprise.telemetry.id_generator import compute_deterministic_span_id
+
+        return f"{compute_deterministic_span_id(normalized):016x}"
+    except (ValueError, AttributeError):
+        return ""
+
+
+def emit_telemetry_log(
+    *,
+    event_name: str | EnterpriseTelemetryEvent,
+    attributes: dict[str, Any],
+    signal: str = "metric_only",
+    trace_id_source: str | None = None,
+    span_id_source: str | None = None,
+    tenant_id: str | None = None,
+    user_id: str | None = None,
+) -> None:
+    """Emit a structured log line for a telemetry event.
+
+    Parameters
+    ----------
+    event_name:
+        Canonical event name, e.g. ``"dify.workflow.run"``.
+    attributes:
+        All event-specific attributes (already built by the caller).
+    signal:
+        ``"metric_only"`` for events with no span, ``"span_detail"``
+        for detail logs accompanying a slim span.
+    trace_id_source:
+        A UUID string (e.g. ``workflow_run_id``) used to derive a 32-hex
+        trace_id for cross-signal correlation.
+    tenant_id:
+        Tenant identifier (for the ``IdentityContextFilter``).
+    user_id:
+        User identifier (for the ``IdentityContextFilter``).
+    """
+    if not logger.isEnabledFor(logging.INFO):
+        return
+    attrs = {
+        "dify.event.name": event_name,
+        "dify.event.signal": signal,
+        **attributes,
+    }
+
+    extra: dict[str, Any] = {"attributes": attrs}
+
+    trace_id_hex = compute_trace_id_hex(trace_id_source)
+    if trace_id_hex:
+        extra["trace_id"] = trace_id_hex
+    span_id_hex = compute_span_id_hex(span_id_source)
+    if span_id_hex:
+        extra["span_id"] = span_id_hex
+    if tenant_id:
+        extra["tenant_id"] = tenant_id
+    if user_id:
+        extra["user_id"] = user_id
+
+    logger.info("telemetry.%s", signal, extra=extra)
+
+
+def emit_metric_only_event(
+    *,
+    event_name: str | EnterpriseTelemetryEvent,
+    attributes: dict[str, Any],
+    trace_id_source: str | None = None,
+    span_id_source: str | None = None,
+    tenant_id: str | None = None,
+    user_id: str | None = None,
+) -> None:
+    emit_telemetry_log(
+        event_name=event_name,
+        attributes=attributes,
+        signal="metric_only",
+        trace_id_source=trace_id_source,
+        span_id_source=span_id_source,
+        tenant_id=tenant_id,
+        user_id=user_id,
+    )

api/events/__init__.py

@@ -0,0 +1,25 @@
+class _EventHook:
+    def __init__(self):
+        self._handlers = []
+
+    def __iadd__(self, handler):
+        self._handlers.append(handler)
+        return self
+
+    def __isub__(self, handler):
+        try:
+            self._handlers.remove(handler)
+        except ValueError:
+            pass
+        return self
+
+    def __call__(self, *args, **kwargs):
+        for handler in list(self._handlers):
+            handler(*args, **kwargs)
+
+
+class Events:
+    def __getattr__(self, name):
+        hook = _EventHook()
+        setattr(self, name, hook)
+        return hook