fix: indentation violations in YAML files (#1972)

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,56 +1,56 @@
 name: "🕷️ Bug report"
 description: Report errors or unexpected behavior
 labels:
-- bug
+  - bug
 body:
-- type: checkboxes
-  attributes:
-    label: Self Checks
-    description: "To make sure we get to you in time, please check the following :)"
-    options:
-      - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-        required: true
-      - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-        required: true
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
 
-- type: input
-  attributes:
-    label: Dify version
-    placeholder: 0.3.21
-    description: See about section in Dify console
-  validations:
-    required: true
+  - type: input
+    attributes:
+      label: Dify version
+      placeholder: 0.3.21
+      description: See about section in Dify console
+    validations:
+      required: true
 
-- type: dropdown
-  attributes:
-    label: Cloud or Self Hosted
-    description: How / Where was Dify installed from?
-    multiple: true
-    options:
-      - Cloud
-      - Self Hosted (Docker)
-      - Self Hosted (Source)
-  validations:
-    required: true
+  - type: dropdown
+    attributes:
+      label: Cloud or Self Hosted
+      description: How / Where was Dify installed from?
+      multiple: true
+      options:
+        - Cloud
+        - Self Hosted (Docker)
+        - Self Hosted (Source)
+    validations:
+      required: true
 
-- type: textarea
-  attributes:
-    label: Steps to reproduce
-    description: We highly suggest including screenshots and a bug report log.
-    placeholder: Having detailed steps helps us reproduce the bug. 
-  validations:
-    required: true
+  - type: textarea
+    attributes:
+      label: Steps to reproduce
+      description: We highly suggest including screenshots and a bug report log.
+      placeholder: Having detailed steps helps us reproduce the bug.
+    validations:
+      required: true
 
-- type: textarea
-  attributes:
-    label: ✔️ Expected Behavior
-    placeholder: What were you expecting?
-  validations:
-    required: false
+  - type: textarea
+    attributes:
+      label: ✔️ Expected Behavior
+      placeholder: What were you expecting?
+    validations:
+      required: false
 
-- type: textarea
-  attributes:
-    label: ❌ Actual Behavior
-    placeholder: What happened instead?
-  validations:
-    required: false
+  - type: textarea
+    attributes:
+      label: ❌ Actual Behavior
+      placeholder: What happened instead?
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -5,4 +5,4 @@ contact_links:
     about: Documentation for users of Dify
   - name: "\U0001F4DA Dify dev documentation"
     url: https://docs.dify.ai/getting-started/install-self-hosted
-    about: Documentation for people interested in developing and contributing for Dify
+    about: Documentation for people interested in developing and contributing for Dify

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -1,20 +1,20 @@
 name: "📚 Documentation Issue"
 description: Report issues in our documentation
-labels: 
-- ducumentation
+labels:
+  - ducumentation
 body:
-- type: checkboxes
-  attributes:
-    label: Self Checks
-    description: "To make sure we get to you in time, please check the following :)"
-    options:
-      - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-        required: true
-      - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-        required: true
-- type: textarea
-  attributes: 
-    label: Provide a description of requested docs changes
-    placeholder: Briefly describe which document needs to be corrected and why.
-  validations:
-    required: true
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: textarea
+    attributes:
+      label: Provide a description of requested docs changes
+      placeholder: Briefly describe which document needs to be corrected and why.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -1,35 +1,35 @@
 name: "⭐ Feature or enhancement request"
 description: Propose something new.
 labels:
-- enhancement
+  - enhancement
 body:
-- type: checkboxes
-  attributes:
-    label: Self Checks
-    description: "To make sure we get to you in time, please check the following :)"
-    options:
-      - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-        required: true
-      - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-        required: true
-- type: textarea
-  attributes: 
-    label: Description of the new feature / enhancement
-    placeholder: What is the expected behavior of the proposed feature?
-  validations:
-    required: true
-- type: textarea
-  attributes:
-    label: Scenario when this would be used?
-    placeholder: What is the scenario this would be used? Why is this important to your workflow as a dify user?
-  validations:
-    required: true
-- type: textarea
-  attributes:
-    label: Supporting information
-    placeholder: "Having additional evidence, data, tweets, blog posts, research, ... anything is extremely helpful. This information provides context to the scenario that may otherwise be lost."
-  validations:
-    required: false
-- type: markdown
-  attributes:
-    value: Please limit one request per issue.
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: textarea
+    attributes:
+      label: Description of the new feature / enhancement
+      placeholder: What is the expected behavior of the proposed feature?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Scenario when this would be used?
+      placeholder: What is the scenario this would be used? Why is this important to your workflow as a dify user?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Supporting information
+      placeholder: "Having additional evidence, data, tweets, blog posts, research, ... anything is extremely helpful. This information provides context to the scenario that may otherwise be lost."
+    validations:
+      required: false
+  - type: markdown
+    attributes:
+      value: Please limit one request per issue.

.github/ISSUE_TEMPLATE/help_wanted.yml

@@ -1,20 +1,20 @@
 name: "🤝 Help Wanted"
 description: "Request help from the community [please use English :）]"
 labels:
-- help-wanted
+  - help-wanted
 body:
-- type: checkboxes
-  attributes:
-    label: Self Checks
-    description: "To make sure we get to you in time, please check the following :)"
-    options:
-      - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-        required: true
-      - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-        required: true
-- type: textarea
-  attributes:
-    label: Provide a description of the help you need
-    placeholder: Briefly describe what you need help with.
-  validations:
-    required: true
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: textarea
+    attributes:
+      label: Provide a description of the help you need
+      placeholder: Briefly describe what you need help with.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -1,52 +1,52 @@
 name: "🌐 Localization/Translation issue"
 description: Report incorrect translations. [please use English :）]
 labels:
-- translation
+  - translation
 body:
-- type: checkboxes
-  attributes:
-    label: Self Checks
-    description: "To make sure we get to you in time, please check the following :)"
-    options:
-      - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-        required: true
-      - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-        required: true
-- type: input
-  attributes:
-    label: Dify version
-    placeholder: 0.3.21
-    description: Hover over system tray icon or look at Settings
-  validations:
-    required: true
-- type: input
-  attributes:
-    label: Utility with translation issue
-    placeholder: Some area
-    description: Please input here the utility with the translation issue
-  validations:
-    required: true
-- type: input
-  attributes:
-    label: 🌐 Language affected
-    placeholder: "German"
-  validations:
-    required: true
-- type: textarea
-  attributes: 
-    label: ❌ Actual phrase(s)
-    placeholder: What is there? Please include a screenshot as that is extremely helpful.
-  validations:
-    required: true
-- type: textarea
-  attributes: 
-    label: ✔️ Expected phrase(s)
-    placeholder: What was expected?
-  validations:
-    required: true
-- type: textarea
-  attributes:
-    label: ℹ Why is the current translation wrong
-    placeholder: Why do you feel this is incorrect?
-  validations:
-    required: true
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: input
+    attributes:
+      label: Dify version
+      placeholder: 0.3.21
+      description: Hover over system tray icon or look at Settings
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Utility with translation issue
+      placeholder: Some area
+      description: Please input here the utility with the translation issue
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: 🌐 Language affected
+      placeholder: "German"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ❌ Actual phrase(s)
+      placeholder: What is there? Please include a screenshot as that is extremely helpful.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ✔️ Expected phrase(s)
+      placeholder: What was expected?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ℹ Why is the current translation wrong
+      placeholder: Why do you feel this is incorrect?
+    validations:
+      required: true

.github/linters/.hadolint.yaml

@@ -1 +1 @@
-failure-threshold: "error"
+failure-threshold: "error"

.github/linters/.yaml-lint.yml

@@ -5,11 +5,7 @@ extends: default
 rules:
   brackets:
     max-spaces-inside: 1
+  comments-indentation: disable
   document-start: disable
-  indentation:
-    level: warning
   line-length: disable
-  new-line-at-end-of-file:
-    level: warning
-  trailing-spaces:
-    level: warning
+  truthy: disable

.github/workflows/api-model-runtime-tests.yml

@@ -32,18 +32,18 @@ jobs:
       MOCK_SWITCH: true
 
     steps:
-    - name: Checkout code
-      uses: actions/checkout@v4
+      - name: Checkout code
+        uses: actions/checkout@v4
 
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.10'
-        cache: 'pip'
-        cache-dependency-path: ./api/requirements.txt
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+          cache: 'pip'
+          cache-dependency-path: ./api/requirements.txt
 
-    - name: Install dependencies
-      run: pip install -r ./api/requirements.txt
+      - name: Install dependencies
+        run: pip install -r ./api/requirements.txt
 
-    - name: Run pytest
-      run: pytest api/tests/integration_tests/model_runtime/anthropic api/tests/integration_tests/model_runtime/azure_openai api/tests/integration_tests/model_runtime/openai api/tests/integration_tests/model_runtime/chatglm api/tests/integration_tests/model_runtime/google api/tests/integration_tests/model_runtime/xinference api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
+      - name: Run pytest
+        run: pytest api/tests/integration_tests/model_runtime/anthropic api/tests/integration_tests/model_runtime/azure_openai api/tests/integration_tests/model_runtime/openai api/tests/integration_tests/model_runtime/chatglm api/tests/integration_tests/model_runtime/google api/tests/integration_tests/model_runtime/xinference api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py

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

@@ -6,55 +6,55 @@ on:
       - 'main'
       - 'deploy/dev'
   release:
-    types: [published]
+    types: [ published ]
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
     if: github.event.pull_request.draft == false
     steps:
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v3
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
 
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v3
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
 
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USER }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
 
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v5
-      with:
-        images: langgenius/dify-api
-        tags: |
-          type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: langgenius/dify-api
+          tags: |
+            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
+            type=ref,event=branch
+            type=sha,enable=true,priority=100,prefix=,suffix=,format=long
+            type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
 
-    - name: Build and push
-      uses: docker/build-push-action@v5
-      with:
-        context: "{{defaultContext}}:api"
-        platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
-        build-args: |
-          COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-        push: true
-        tags: ${{ steps.meta.outputs.tags }}
-        labels: ${{ steps.meta.outputs.labels }}
-        cache-from: type=gha
-        cache-to: type=gha,mode=max
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: "{{defaultContext}}:api"
+          platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
+          build-args: |
+            COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
 
-    - name: Deploy to server
-      if: github.ref == 'refs/heads/deploy/dev'
-      uses: appleboy/ssh-action@v0.1.8
-      with:
-        host: ${{ secrets.SSH_HOST }}
-        username: ${{ secrets.SSH_USER }}
-        key: ${{ secrets.SSH_PRIVATE_KEY }}
-        script: |
-          ${{ secrets.SSH_SCRIPT }}
+      - name: Deploy to server
+        if: github.ref == 'refs/heads/deploy/dev'
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ secrets.SSH_SCRIPT }}

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

@@ -6,55 +6,55 @@ on:
       - 'main'
       - 'deploy/dev'
   release:
-    types: [published]
+    types: [ published ]
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
     if: github.event.pull_request.draft == false
     steps:
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v3
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
 
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v3
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
 
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USER }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
 
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v5
-      with:
-        images: langgenius/dify-web
-        tags: |
-          type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: langgenius/dify-web
+          tags: |
+            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
+            type=ref,event=branch
+            type=sha,enable=true,priority=100,prefix=,suffix=,format=long
+            type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
 
-    - name: Build and push
-      uses: docker/build-push-action@v5
-      with:
-        context: "{{defaultContext}}:web"
-        platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
-        build-args: |
-          COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-        push: true
-        tags: ${{ steps.meta.outputs.tags }}
-        labels: ${{ steps.meta.outputs.labels }}
-        cache-from: type=gha
-        cache-to: type=gha,mode=max
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: "{{defaultContext}}:web"
+          platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
+          build-args: |
+            COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
 
-    - name: Deploy to server
-      if: github.ref == 'refs/heads/deploy/dev'
-      uses: appleboy/ssh-action@v0.1.8
-      with:
-        host: ${{ secrets.SSH_HOST }}
-        username: ${{ secrets.SSH_USER }}
-        key: ${{ secrets.SSH_PRIVATE_KEY }}
-        script: |
-          ${{ secrets.SSH_SCRIPT }}
+      - name: Deploy to server
+        if: github.ref == 'refs/heads/deploy/dev'
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ secrets.SSH_SCRIPT }}

.github/workflows/stale.yml

@@ -7,7 +7,7 @@ name: Mark stale issues and pull requests
 
 on:
   schedule:
-  - cron: '0 3 * * *'
+    - cron: '0 3 * * *'
 
 jobs:
   stale:
@@ -18,13 +18,13 @@ jobs:
       pull-requests: write
 
     steps:
-    - uses: actions/stale@v5
-      with:
-        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-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'
+      - uses: actions/stale@v5
+        with:
+          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-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'

.github/workflows/style.yml

@@ -18,37 +18,37 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - name: Checkout code
-      uses: actions/checkout@v4
+      - name: Checkout code
+        uses: actions/checkout@v4
 
-    - name: Setup NodeJS
-      uses: actions/setup-node@v4
-      with:
-        node-version: 18
-        cache: yarn
-        cache-dependency-path: ./web/package.json
+      - name: Setup NodeJS
+        uses: actions/setup-node@v4
+        with:
+          node-version: 18
+          cache: yarn
+          cache-dependency-path: ./web/package.json
 
-    - name: Web dependencies
-      run: |
-        cd ./web
-        yarn install --frozen-lockfile
+      - name: Web dependencies
+        run: |
+          cd ./web
+          yarn install --frozen-lockfile
 
-    - name: Web style check
-      run: |
-        cd ./web
-        yarn run lint
+      - name: Web style check
+        run: |
+          cd ./web
+          yarn run lint
 
-    - name: Super-linter
-      uses: super-linter/super-linter/slim@v5
-      env:
-        BASH_SEVERITY: warning
-        DEFAULT_BRANCH: main
-        ERROR_ON_MISSING_EXEC_BIT: true
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        IGNORE_GENERATED_FILES: true
-        IGNORE_GITIGNORED_FILES: true
-        VALIDATE_BASH: true
-        VALIDATE_BASH_EXEC: true
-        VALIDATE_GITHUB_ACTIONS: true
-        VALIDATE_DOCKERFILE_HADOLINT: true
-        VALIDATE_YAML: true
+      - name: Super-linter
+        uses: super-linter/super-linter/slim@v5
+        env:
+          BASH_SEVERITY: warning
+          DEFAULT_BRANCH: main
+          ERROR_ON_MISSING_EXEC_BIT: true
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          IGNORE_GENERATED_FILES: true
+          IGNORE_GITIGNORED_FILES: true
+          VALIDATE_BASH: true
+          VALIDATE_BASH_EXEC: true
+          VALIDATE_GITHUB_ACTIONS: true
+          VALIDATE_DOCKERFILE_HADOLINT: true
+          VALIDATE_YAML: true

api/core/model_runtime/model_providers/_position.yaml

@@ -17,4 +17,4 @@
 - xinference
 - openllm
 - localai
-- openai_api_compatible
+- openai_api_compatible

api/core/model_runtime/model_providers/anthropic/anthropic.yaml

@@ -16,24 +16,24 @@ help:
   url:
     en_US: https://console.anthropic.com/account/keys
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: anthropic_api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: anthropic_api_url
-    label:
-      en_US: API URL
-    type: text-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的 API URL
-      en_US: Enter your API URL
+    - variable: anthropic_api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: anthropic_api_url
+      label:
+        en_US: API URL
+      type: text-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的 API URL
+        en_US: Enter your API URL

api/core/model_runtime/model_providers/anthropic/llm/claude-2.1.yaml

@@ -3,32 +3,32 @@ label:
   en_US: claude-2.1
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 200000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens_to_sample
-  use_template: max_tokens
-  required: true
-  default: 4096
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens_to_sample
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
 pricing:
   input: '8.00'
   output: '24.00'
   unit: '0.000001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/anthropic/llm/claude-2.yaml

@@ -3,32 +3,32 @@ label:
   en_US: claude-2
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 100000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens_to_sample
-  use_template: max_tokens
-  required: true
-  default: 4096
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens_to_sample
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
 pricing:
   input: '8.00'
   output: '24.00'
   unit: '0.000001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.yaml

@@ -2,32 +2,32 @@ model: claude-instant-1
 label:
   en_US: claude-instant-1
 model_type: llm
-features: []
+features: [ ]
 model_properties:
   mode: chat
   context_size: 100000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens_to_sample
-  use_template: max_tokens
-  required: true
-  default: 4096
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens_to_sample
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
 pricing:
   input: '1.63'
   output: '5.51'
   unit: '0.000001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://azure.microsoft.com/en-us/products/ai-services/openai-service
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
@@ -26,79 +26,79 @@ model_credential_schema:
       en_US: Enter your Deployment Name here, matching the Azure deployment name.
       zh_Hans: 在此输入您的部署名称，与 Azure 部署名称匹配。
   credential_form_schemas:
-  - variable: openai_api_base
-    label:
-      en_US: API Endpoint URL
-      zh_Hans: API 域名
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: '在此输入您的 API 域名，如：https://example.com/xxx'
-      en_US: 'Enter your API Endpoint, eg: https://example.com/xxx'
-  - variable: openai_api_key
-    label:
-      en_US: API Key
-      zh_Hans: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API key here
-  - variable: base_model_name
-    label:
-      en_US: Base Model
-      zh_Hans: 基础模型
-    type: select
-    required: true
-    options:
-    - label:
-        en_US: gpt-35-turbo
-      value: gpt-35-turbo
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: gpt-35-turbo-16k
-      value: gpt-35-turbo-16k
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: gpt-4
-      value: gpt-4
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: gpt-4-32k
-      value: gpt-4-32k
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: gpt-4-1106-preview
-      value: gpt-4-1106-preview
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: gpt-4-vision-preview
-      value: gpt-4-vision-preview
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: gpt-35-turbo-instruct
-      value: gpt-35-turbo-instruct
-      show_on:
-      - variable: __model_type
-        value: llm
-    - label:
-        en_US: text-embedding-ada-002
-      value: text-embedding-ada-002
-      show_on:
-        - variable: __model_type
-          value: text-embedding
-    placeholder:
-      zh_Hans: 在此输入您的模型版本
-      en_US: Enter your model version
+    - variable: openai_api_base
+      label:
+        en_US: API Endpoint URL
+        zh_Hans: API 域名
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: '在此输入您的 API 域名，如：https://example.com/xxx'
+        en_US: 'Enter your API Endpoint, eg: https://example.com/xxx'
+    - variable: openai_api_key
+      label:
+        en_US: API Key
+        zh_Hans: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API key here
+    - variable: base_model_name
+      label:
+        en_US: Base Model
+        zh_Hans: 基础模型
+      type: select
+      required: true
+      options:
+        - label:
+            en_US: gpt-35-turbo
+          value: gpt-35-turbo
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: gpt-35-turbo-16k
+          value: gpt-35-turbo-16k
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: gpt-4
+          value: gpt-4
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: gpt-4-32k
+          value: gpt-4-32k
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: gpt-4-1106-preview
+          value: gpt-4-1106-preview
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: gpt-4-vision-preview
+          value: gpt-4-vision-preview
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: gpt-35-turbo-instruct
+          value: gpt-35-turbo-instruct
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: text-embedding-ada-002
+          value: text-embedding-ada-002
+          show_on:
+            - variable: __model_type
+              value: text-embedding
+      placeholder:
+        zh_Hans: 在此输入您的模型版本
+        en_US: Enter your model version

api/core/model_runtime/model_providers/baichuan/baichuan.yaml

@@ -8,30 +8,30 @@ icon_large:
 background: "#FFF6F2"
 help:
   title:
-    en_US: Get your API Key from BAICHUAN AI 
+    en_US: Get your API Key from BAICHUAN AI
     zh_Hans: 从百川智能获取您的 API Key
   url:
     en_US: https://www.baichuan-ai.com
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: secret_key
-    label:
-      en_US: Secret Key
-    type: secret-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的 Secret Key
-      en_US: Enter your Secret Key
+    - variable: api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: secret_key
+      label:
+        en_US: Secret Key
+      type: secret-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的 Secret Key
+        en_US: Enter your Secret Key

api/core/model_runtime/model_providers/baichuan/llm/baichuan2-53b.yaml

@@ -3,40 +3,40 @@ label:
   en_US: Baichuan2-53B
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 1000
-  min: 1
-  max: 4000
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: with_search_enhance
-  label:
-    zh_Hans: 搜索增强
-    en_US: Search Enhance
-  type: boolean
-  help:
-    zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-    en_US: Allow the model to perform external search to enhance the generation results.
-  required: false
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 1000
+    min: 1
+    max: 4000
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo-192k.yaml

@@ -3,40 +3,40 @@ label:
   en_US: Baichuan2-Turbo-192K
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 192000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 8000
-  min: 1
-  max: 192000
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: with_search_enhance
-  label:
-    zh_Hans: 搜索增强
-    en_US: Search Enhance
-  type: boolean
-  help:
-    zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-    en_US: Allow the model to perform external search to enhance the generation results.
-  required: false
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 8000
+    min: 1
+    max: 192000
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo.yaml

@@ -3,40 +3,40 @@ label:
   en_US: Baichuan2-Turbo
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 192000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 8000
-  min: 1
-  max: 192000
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: with_search_enhance
-  label:
-    zh_Hans: 搜索增强
-    en_US: Search Enhance
-  type: boolean
-  help:
-    zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-    en_US: Allow the model to perform external search to enhance the generation results.
-  required: false
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 8000
+    min: 1
+    max: 192000
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

api/core/model_runtime/model_providers/baichuan/text_embedding/baichuan-text-embedding.yaml

@@ -2,4 +2,4 @@ model: baichuan-text-embedding
 model_type: text-embedding
 model_properties:
   context_size: 512
-  max_chunks: 16
+  max_chunks: 16

api/core/model_runtime/model_providers/chatglm/chatglm.yaml

@@ -13,16 +13,16 @@ help:
   url:
     en_US: https://github.com/THUDM/ChatGLM3
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: api_base
-    label:
-      en_US: API URL
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API URL
-      en_US: Enter your API URL
+    - variable: api_base
+      label:
+        en_US: API URL
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API URL
+        en_US: Enter your API URL

api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b-32k.yaml

@@ -3,19 +3,19 @@ label:
   en_US: ChatGLM2-6B-32K
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 32000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 2000
-  min: 1
-  max: 32000
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 2000
+    min: 1
+    max: 32000

api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b.yaml

@@ -3,19 +3,19 @@ label:
   en_US: ChatGLM2-6B
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 2000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 256
-  min: 1
-  max: 2000
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 256
+    min: 1
+    max: 2000

api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b-32k.yaml

@@ -3,20 +3,20 @@ label:
   en_US: ChatGLM3-6B-32K
 model_type: llm
 features:
-- tool-call
-- agent-thought
+  - tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 32000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 8000
-  min: 1
-  max: 32000
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 8000
+    min: 1
+    max: 32000

api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b.yaml

@@ -3,20 +3,20 @@ label:
   en_US: ChatGLM3-6B
 model_type: llm
 features:
-- tool-call
-- agent-thought
+  - tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 8000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-  required: false
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 256
-  min: 1
-  max: 8000
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 256
+    min: 1
+    max: 8000

api/core/model_runtime/model_providers/cohere/cohere.yaml

@@ -14,18 +14,18 @@ help:
   url:
     en_US: https://dashboard.cohere.com/api-keys
 supported_model_types:
-- rerank
+  - rerank
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: api_key
-    label:
-      zh_Hans: API Key
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 请填写 API Key
-      en_US: Please fill in API Key
-    show_on: []
+    - variable: api_key
+      label:
+        zh_Hans: API Key
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 请填写 API Key
+        en_US: Please fill in API Key
+      show_on: [ ]

api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v2.0.yaml

@@ -1,4 +1,4 @@
 model: rerank-multilingual-v2.0
 model_type: rerank
 model_properties:
-  context_size: 5120
+  context_size: 5120

api/core/model_runtime/model_providers/google/google.yaml

@@ -16,17 +16,16 @@ help:
   url:
     en_US: https://ai.google.dev/
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: google_api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  
+    - variable: google_api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key

api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml

@@ -3,32 +3,32 @@ label:
   en_US: Gemini Pro Vision
 model_type: llm
 features:
-- vision
+  - vision
 model_properties:
   mode: chat
   context_size: 12288
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens_to_sample
-  use_template: max_tokens
-  required: true
-  default: 4096
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens_to_sample
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
 pricing:
   input: '0.00'
   output: '0.00'
   unit: '0.000001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml

@@ -3,32 +3,32 @@ label:
   en_US: Gemini Pro
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 30720
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-    en_US: Only sample from the top K options for each subsequent token.
-  required: false
-- name: max_tokens_to_sample
-  use_template: max_tokens
-  required: true
-  default: 2048
-  min: 1
-  max: 2048
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens_to_sample
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 2048
 pricing:
   input: '0.00'
   output: '0.00'
   unit: '0.000001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.yaml

@@ -2,9 +2,9 @@ provider: huggingface_hub
 label:
   en_US: Hugging Face Model
 icon_small:
-    en_US: icon_s_en.svg
+  en_US: icon_s_en.svg
 icon_large:
-    en_US: icon_l_en.svg
+  en_US: icon_l_en.svg
 background: "#FFF8DC"
 help:
   title:
@@ -13,90 +13,90 @@ help:
   url:
     en_US: https://huggingface.co/settings/tokens
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
       en_US: Model Name
       zh_Hans: 模型名称
   credential_form_schemas:
-  - variable: huggingfacehub_api_type
-    label:
-      en_US: Endpoint Type
-      zh_Hans: 端点类型
-    type: radio
-    required: true
-    default: hosted_inference_api
-    options:
-    - value: hosted_inference_api
-      label:
-        en_US: Hosted Inference API
-    - value: inference_endpoints
-      label:
-        en_US: Inference Endpoints
-  - variable: huggingfacehub_api_token
-    label:
-      en_US: API Token
-      zh_Hans: API Token
-    type: secret-input
-    required: true
-    placeholder:
-      en_US: Enter your Hugging Face Hub API Token here
-      zh_Hans: 在此输入您的 Hugging Face Hub API Token
-  - variable: huggingface_namespace
-    label:
-      en_US: 'User Name / Organization Name'
-      zh_Hans: '用户名 / 组织名称'
-    type: text-input
-    required: true
-    placeholder:
-      en_US: 'Enter your User Name / Organization Name here'
-      zh_Hans: '在此输入您的用户名 / 组织名称'
-    show_on:
-    - variable: __model_type
-      value: text-embedding
     - variable: huggingfacehub_api_type
-      value: inference_endpoints
-  - variable: huggingfacehub_endpoint_url
-    label:
-      en_US: Endpoint URL
-      zh_Hans: 端点 URL
-    type: text-input
-    required: true
-    placeholder:
-      en_US: Enter your Endpoint URL here
-      zh_Hans: 在此输入您的端点 URL
-    show_on:
-    - variable: huggingfacehub_api_type
-      value: inference_endpoints
-  - variable: task_type
-    label:
-      en_US: Task
-      zh_Hans: Task
-    type: select
-    options:
-    - value: text2text-generation
       label:
-        en_US: Text-to-Text Generation
-      show_on:
-      - variable: __model_type
-        value: llm
-    - value: text-generation
+        en_US: Endpoint Type
+        zh_Hans: 端点类型
+      type: radio
+      required: true
+      default: hosted_inference_api
+      options:
+        - value: hosted_inference_api
+          label:
+            en_US: Hosted Inference API
+        - value: inference_endpoints
+          label:
+            en_US: Inference Endpoints
+    - variable: huggingfacehub_api_token
       label:
-        en_US: Text Generation
-        zh_Hans: 文本生成
-      show_on:
-      - variable: __model_type
-        value: llm
-    - value: feature-extraction
+        en_US: API Token
+        zh_Hans: API Token
+      type: secret-input
+      required: true
+      placeholder:
+        en_US: Enter your Hugging Face Hub API Token here
+        zh_Hans: 在此输入您的 Hugging Face Hub API Token
+    - variable: huggingface_namespace
       label:
-        en_US: Feature Extraction
+        en_US: 'User Name / Organization Name'
+        zh_Hans: '用户名 / 组织名称'
+      type: text-input
+      required: true
+      placeholder:
+        en_US: 'Enter your User Name / Organization Name here'
+        zh_Hans: '在此输入您的用户名 / 组织名称'
       show_on:
-      - variable: __model_type
-        value: text-embedding
-    show_on:
-    - variable: huggingfacehub_api_type
-      value: inference_endpoints
+        - variable: __model_type
+          value: text-embedding
+        - variable: huggingfacehub_api_type
+          value: inference_endpoints
+    - variable: huggingfacehub_endpoint_url
+      label:
+        en_US: Endpoint URL
+        zh_Hans: 端点 URL
+      type: text-input
+      required: true
+      placeholder:
+        en_US: Enter your Endpoint URL here
+        zh_Hans: 在此输入您的端点 URL
+      show_on:
+        - variable: huggingfacehub_api_type
+          value: inference_endpoints
+    - variable: task_type
+      label:
+        en_US: Task
+        zh_Hans: Task
+      type: select
+      options:
+        - value: text2text-generation
+          label:
+            en_US: Text-to-Text Generation
+          show_on:
+            - variable: __model_type
+              value: llm
+        - value: text-generation
+          label:
+            en_US: Text Generation
+            zh_Hans: 文本生成
+          show_on:
+            - variable: __model_type
+              value: llm
+        - value: feature-extraction
+          label:
+            en_US: Feature Extraction
+          show_on:
+            - variable: __model_type
+              value: text-embedding
+      show_on:
+        - variable: huggingfacehub_api_type
+          value: inference_endpoints

api/core/model_runtime/model_providers/jina/jina.yaml

@@ -2,7 +2,7 @@ provider: jina
 label:
   en_US: Jina
 description:
-    en_US: Embedding Model Supported
+  en_US: Embedding Model Supported
 icon_small:
   en_US: icon_s_en.svg
 icon_large:
@@ -15,16 +15,16 @@ help:
   url:
     en_US: https://jina.ai/embeddings/
 supported_model_types:
-- text-embedding
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
+    - variable: api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key

api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml

@@ -6,4 +6,4 @@ model_properties:
 pricing:
   input: '0.001'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml

@@ -6,4 +6,4 @@ model_properties:
 pricing:
   input: '0.001'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/localai/localai.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://github.com/go-skynet/LocalAI
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
@@ -26,33 +26,33 @@ model_credential_schema:
       en_US: Enter your model name
       zh_Hans: 输入模型名称
   credential_form_schemas:
-  - variable: completion_type
-    show_on:
-      - variable: __model_type
-        value: llm
-    label:
-      en_US: Completion type
-    type: select
-    required: false
-    default: chat_completion
-    placeholder:
-      zh_Hans: 选择对话类型
-      en_US: Select completion type
-    options:
-      - value: completion
-        label:
-          en_US: Completion
-          zh_Hans: 补全
-      - value: chat_completion
-        label:
-          en_US: ChatCompletion
-          zh_Hans: 对话
-  - variable: server_url
-    label:
-      zh_Hans: 服务器URL
-      en_US: Server url
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入LocalAI的服务器地址，如 https://example.com/xxx
-      en_US: Enter the url of your LocalAI, for example https://example.com/xxx
+    - variable: completion_type
+      show_on:
+        - variable: __model_type
+          value: llm
+      label:
+        en_US: Completion type
+      type: select
+      required: false
+      default: chat_completion
+      placeholder:
+        zh_Hans: 选择对话类型
+        en_US: Select completion type
+      options:
+        - value: completion
+          label:
+            en_US: Completion
+            zh_Hans: 补全
+        - value: chat_completion
+          label:
+            en_US: ChatCompletion
+            zh_Hans: 对话
+    - variable: server_url
+      label:
+        zh_Hans: 服务器URL
+        en_US: Server url
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入LocalAI的服务器地址，如 https://example.com/xxx
+        en_US: Enter the url of your LocalAI, for example https://example.com/xxx

api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml

@@ -3,27 +3,27 @@ label:
   en_US: Abab5-Chat
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 6144
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 6144
-  min: 1
-  max: 6144
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 6144
+    min: 1
+    max: 6144
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
 pricing:
   input: '0.00'
   output: '0.015'
   unit: '0.001'
-  currency: RMB
+  currency: RMB

api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml

@@ -3,34 +3,34 @@ label:
   en_US: Abab5.5-Chat
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16384
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 6144
-  min: 1
-  max: 16384
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: plugin_web_search
-  required: false
-  default: false
-  type: boolean
-  label:
-    en_US: Enable Web Search
-    zh_Hans: 开启网页搜索
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 6144
+    min: 1
+    max: 16384
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: plugin_web_search
+    required: false
+    default: false
+    type: boolean
+    label:
+      en_US: Enable Web Search
+      zh_Hans: 开启网页搜索
 pricing:
   input: '0.00'
   output: '0.015'
   unit: '0.001'
-  currency: RMB
+  currency: RMB

api/core/model_runtime/model_providers/minimax/minimax.yaml

@@ -13,25 +13,25 @@ help:
   url:
     en_US: https://api.minimax.chat/user-center/basic-information/interface-key
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: minimax_api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: minimax_group_id
-    label:
-      en_US: Group ID
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 Group ID
-      en_US: Enter your group ID
+    - variable: minimax_api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: minimax_group_id
+      label:
+        en_US: Group ID
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 Group ID
+        en_US: Enter your group ID

api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml

@@ -6,4 +6,4 @@ model_properties:
 pricing:
   input: '0.0005'
   unit: '0.001'
-  currency: RMB
+  currency: RMB

api/core/model_runtime/model_providers/openai/llm/_position.yaml

@@ -8,4 +8,4 @@
 - gpt-3.5-turbo-1106
 - gpt-3.5-turbo-0613
 - gpt-3.5-turbo-instruct
-- text-davinci-003
+- text-davinci-003

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml

@@ -4,27 +4,27 @@ label:
   en_US: gpt-3.5-turbo-0613
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4096
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 4096
 pricing:
   input: '0.0015'
   output: '0.002'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml

@@ -4,27 +4,27 @@ label:
   en_US: gpt-3.5-turbo-1106
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16385
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 16385
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 16385
 pricing:
   input: '0.001'
   output: '0.002'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml

@@ -4,27 +4,27 @@ label:
   en_US: gpt-3.5-turbo-16k-0613
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16385
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 16385
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 16385
 pricing:
   input: '0.003'
   output: '0.004'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml

@@ -4,27 +4,27 @@ label:
   en_US: gpt-3.5-turbo-16k
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16385
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 16385
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 16385
 pricing:
   input: '0.003'
   output: '0.004'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml

@@ -3,26 +3,26 @@ label:
   zh_Hans: gpt-3.5-turbo-instruct
   en_US: gpt-3.5-turbo-instruct
 model_type: llm
-features: []
+features: [ ]
 model_properties:
   mode: completion
   context_size: 4096
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 4096
 pricing:
   input: '0.0015'
   output: '0.002'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml

@@ -4,27 +4,27 @@ label:
   en_US: gpt-3.5-turbo
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4096
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 4096
 pricing:
   input: '0.001'
   output: '0.002'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml

@@ -4,55 +4,55 @@ label:
   en_US: gpt-4-1106-preview
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 128000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 128000
-- name: seed
-  label:
-    zh_Hans: 种子
-    en_US: Seed
-  type: int
-  help:
-    zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-      响应参数来监视变化。
-    en_US: If specified, model will make a best effort to sample deterministically,
-      such that repeated requests with the same seed and parameters should return
-      the same result. Determinism is not guaranteed, and you should refer to the
-      system_fingerprint response parameter to monitor changes in the backend.
-  required: false
-  precision: 2
-  min: 0
-  max: 1
-- name: response_format
-  label:
-    zh_Hans: 回复格式
-    en_US: response_format
-  type: string
-  help:
-    zh_Hans: 指定模型必须输出的格式
-    en_US: specifying the format that the model must output
-  required: false
-  options:
-  - text
-  - json_object
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 128000
+  - name: seed
+    label:
+      zh_Hans: 种子
+      en_US: Seed
+    type: int
+    help:
+      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
+        响应参数来监视变化。
+      en_US: If specified, model will make a best effort to sample deterministically,
+        such that repeated requests with the same seed and parameters should return
+        the same result. Determinism is not guaranteed, and you should refer to the
+        system_fingerprint response parameter to monitor changes in the backend.
+    required: false
+    precision: 2
+    min: 0
+    max: 1
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
   input: '0.01'
   output: '0.03'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml

@@ -4,55 +4,55 @@ label:
   en_US: gpt-4-32k
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 32768
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 32768
-- name: seed
-  label:
-    zh_Hans: 种子
-    en_US: Seed
-  type: int
-  help:
-    zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-      响应参数来监视变化。
-    en_US: If specified, model will make a best effort to sample deterministically,
-      such that repeated requests with the same seed and parameters should return
-      the same result. Determinism is not guaranteed, and you should refer to the
-      system_fingerprint response parameter to monitor changes in the backend.
-  required: false
-  precision: 2
-  min: 0
-  max: 1
-- name: response_format
-  label:
-    zh_Hans: 回复格式
-    en_US: response_format
-  type: string
-  help:
-    zh_Hans: 指定模型必须输出的格式
-    en_US: specifying the format that the model must output
-  required: false
-  options:
-  - text
-  - json_object
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 32768
+  - name: seed
+    label:
+      zh_Hans: 种子
+      en_US: Seed
+    type: int
+    help:
+      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
+        响应参数来监视变化。
+      en_US: If specified, model will make a best effort to sample deterministically,
+        such that repeated requests with the same seed and parameters should return
+        the same result. Determinism is not guaranteed, and you should refer to the
+        system_fingerprint response parameter to monitor changes in the backend.
+    required: false
+    precision: 2
+    min: 0
+    max: 1
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
   input: '0.06'
   output: '0.12'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml

@@ -4,54 +4,54 @@ label:
   en_US: gpt-4-vision-preview
 model_type: llm
 features:
-- vision
+  - vision
 model_properties:
   mode: chat
   context_size: 128000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 128000
-- name: seed
-  label:
-    zh_Hans: 种子
-    en_US: Seed
-  type: int
-  help:
-    zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-      响应参数来监视变化。
-    en_US: If specified, model will make a best effort to sample deterministically,
-      such that repeated requests with the same seed and parameters should return
-      the same result. Determinism is not guaranteed, and you should refer to the
-      system_fingerprint response parameter to monitor changes in the backend.
-  required: false
-  precision: 2
-  min: 0
-  max: 1
-- name: response_format
-  label:
-    zh_Hans: 回复格式
-    en_US: response_format
-  type: string
-  help:
-    zh_Hans: 指定模型必须输出的格式
-    en_US: specifying the format that the model must output
-  required: false
-  options:
-  - text
-  - json_object
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 128000
+  - name: seed
+    label:
+      zh_Hans: 种子
+      en_US: Seed
+    type: int
+    help:
+      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
+        响应参数来监视变化。
+      en_US: If specified, model will make a best effort to sample deterministically,
+        such that repeated requests with the same seed and parameters should return
+        the same result. Determinism is not guaranteed, and you should refer to the
+        system_fingerprint response parameter to monitor changes in the backend.
+    required: false
+    precision: 2
+    min: 0
+    max: 1
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
   input: '0.01'
   output: '0.03'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml

@@ -4,55 +4,55 @@ label:
   en_US: gpt-4
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 8192
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 8192
-- name: seed
-  label:
-    zh_Hans: 种子
-    en_US: Seed
-  type: int
-  help:
-    zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-      响应参数来监视变化。
-    en_US: If specified, model will make a best effort to sample deterministically,
-      such that repeated requests with the same seed and parameters should return
-      the same result. Determinism is not guaranteed, and you should refer to the
-      system_fingerprint response parameter to monitor changes in the backend.
-  required: false
-  precision: 2
-  min: 0
-  max: 1
-- name: response_format
-  label:
-    zh_Hans: 回复格式
-    en_US: response_format
-  type: string
-  help:
-    zh_Hans: 指定模型必须输出的格式
-    en_US: specifying the format that the model must output
-  required: false
-  options:
-  - text
-  - json_object
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: seed
+    label:
+      zh_Hans: 种子
+      en_US: Seed
+    type: int
+    help:
+      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
+        响应参数来监视变化。
+      en_US: If specified, model will make a best effort to sample deterministically,
+        such that repeated requests with the same seed and parameters should return
+        the same result. Determinism is not guaranteed, and you should refer to the
+        system_fingerprint response parameter to monitor changes in the backend.
+    required: false
+    precision: 2
+    min: 0
+    max: 1
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
   input: '0.03'
   output: '0.06'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml

@@ -3,26 +3,26 @@ label:
   zh_Hans: text-davinci-003
   en_US: text-davinci-003
 model_type: llm
-features: []
+features: [ ]
 model_properties:
   mode: completion
   context_size: 4096
 parameter_rules:
-- name: temperature
-  use_template: temperature
-- name: top_p
-  use_template: top_p
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 4096
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 4096
 pricing:
   input: '0.001'
   output: '0.002'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml

@@ -2,4 +2,4 @@ model: text-moderation-stable
 model_type: moderation
 model_properties:
   max_chunks: 32
-  max_characters_per_chunk: 2000
+  max_characters_per_chunk: 2000

api/core/model_runtime/model_providers/openai/openai.yaml

@@ -2,8 +2,8 @@ provider: openai
 label:
   en_US: OpenAI
 description:
-    en_US: Models provided by OpenAI, such as GPT-3.5-Turbo and GPT-4.
-    zh_Hans: OpenAI 提供的模型，例如 GPT-3.5-Turbo 和 GPT-4。
+  en_US: Models provided by OpenAI, such as GPT-3.5-Turbo and GPT-4.
+  zh_Hans: OpenAI 提供的模型，例如 GPT-3.5-Turbo 和 GPT-4。
 icon_small:
   en_US: icon_s_en.svg
 icon_large:
@@ -16,13 +16,13 @@ help:
   url:
     en_US: https://platform.openai.com/account/api-keys
 supported_model_types:
-- llm
-- text-embedding
-- speech2text
-- moderation
+  - llm
+  - text-embedding
+  - speech2text
+  - moderation
 configurate_methods:
-- predefined-model
-- customizable-model
+  - predefined-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
@@ -32,57 +32,57 @@ model_credential_schema:
       en_US: Enter your model name
       zh_Hans: 输入模型名称
   credential_form_schemas:
-  - variable: openai_api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: openai_organization
-    label:
+    - variable: openai_api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: openai_organization
+      label:
         zh_Hans: 组织 ID
         en_US: Organization
-    type: text-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的组织 ID
-      en_US: Enter your Organization ID
-  - variable: openai_api_base
-    label:
-      zh_Hans: API Base
-      en_US: API Base
-    type: text-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的 API Base
-      en_US: Enter your API Base
+      type: text-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的组织 ID
+        en_US: Enter your Organization ID
+    - variable: openai_api_base
+      label:
+        zh_Hans: API Base
+        en_US: API Base
+      type: text-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的 API Base
+        en_US: Enter your API Base
 provider_credential_schema:
   credential_form_schemas:
-  - variable: openai_api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: openai_organization
-    label:
+    - variable: openai_api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: openai_organization
+      label:
         zh_Hans: 组织 ID
         en_US: Organization
-    type: text-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的组织 ID
-      en_US: Enter your Organization ID
-  - variable: openai_api_base
-    label:
-      zh_Hans: API Base
-      en_US: API Base
-    type: text-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的 API Base
-      en_US: Enter your API Base
+      type: text-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的组织 ID
+        en_US: Enter your Organization ID
+    - variable: openai_api_base
+      label:
+        zh_Hans: API Base
+        en_US: API Base
+      type: text-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的 API Base
+        en_US: Enter your API Base

api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml

@@ -2,4 +2,4 @@ model: whisper-1
 model_type: speech2text
 model_properties:
   file_upload_limit: 25
-  supported_file_extensions: mp3,mp4,mpeg,mpga,m4a,wav,webm
+  supported_file_extensions: mp3,mp4,mpeg,mpga,m4a,wav,webm

api/core/model_runtime/model_providers/openai/text_embedding/text-embedidng-ada-002.yaml

@@ -6,4 +6,4 @@ model_properties:
 pricing:
   input: '0.0001'
   unit: '0.001'
-  currency: USD
+  currency: USD

api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml

@@ -5,73 +5,73 @@ description:
   en_US: Model providers compatible with OpenAI's API standard, such as LM Studio.
   zh_Hans: 兼容 OpenAI API 的模型供应商，例如 LM Studio 。
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
       en_US: Model Name
       zh_Hans: 模型名称
     placeholder:
-      en_US: Enter full model name   
+      en_US: Enter full model name
       zh_Hans: 输入模型全称
   credential_form_schemas:
-  - variable: api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: false
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: endpoint_url
-    label:
-      zh_Hans: API endpoint URL
-      en_US: API endpoint URL
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: Base URL, eg. https://api.openai.com/v1
-      en_US: Base URL, eg. https://api.openai.com/v1
-  - variable: mode
-    show_on:
-      - variable: __model_type
-        value: llm
-    label:
-      en_US: Completion mode
-    type: select
-    required: false
-    default: chat
-    placeholder:
-      zh_Hans: 选择对话类型
-      en_US: Select completion mode
-    options:
-      - value: completion
-        label:
-          en_US: Completion
-          zh_Hans: 补全
-      - value: chat
-        label:
-          en_US: Chat
-          zh_Hans: 对话
-  - variable: context_size
-    label:
-      zh_Hans: 模型上下文长度
-      en_US: Model context size
-    required: true
-    type: text-input
-    default: '4096'
-    placeholder:
-      zh_Hans: 在此输入您的模型上下文长度
-      en_US: Enter your Model context size
-  - variable: max_tokens_to_sample
-    label:
-      zh_Hans: 最大 token 上限
-      en_US: Upper bound for max tokens
-    show_on:
-    - variable: __model_type
-      value: llm
-    default: '4096'
-    type: text-input
+    - variable: api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: endpoint_url
+      label:
+        zh_Hans: API endpoint URL
+        en_US: API endpoint URL
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: Base URL, eg. https://api.openai.com/v1
+        en_US: Base URL, eg. https://api.openai.com/v1
+    - variable: mode
+      show_on:
+        - variable: __model_type
+          value: llm
+      label:
+        en_US: Completion mode
+      type: select
+      required: false
+      default: chat
+      placeholder:
+        zh_Hans: 选择对话类型
+        en_US: Select completion mode
+      options:
+        - value: completion
+          label:
+            en_US: Completion
+            zh_Hans: 补全
+        - value: chat
+          label:
+            en_US: Chat
+            zh_Hans: 对话
+    - variable: context_size
+      label:
+        zh_Hans: 模型上下文长度
+        en_US: Model context size
+      required: true
+      type: text-input
+      default: '4096'
+      placeholder:
+        zh_Hans: 在此输入您的模型上下文长度
+        en_US: Enter your Model context size
+    - variable: max_tokens_to_sample
+      label:
+        zh_Hans: 最大 token 上限
+        en_US: Upper bound for max tokens
+      show_on:
+        - variable: __model_type
+          value: llm
+      default: '4096'
+      type: text-input

api/core/model_runtime/model_providers/openllm/openllm.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://github.com/bentoml/OpenLLM
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
@@ -26,12 +26,12 @@ model_credential_schema:
       en_US: Enter your model name
       zh_Hans: 输入模型名称
   credential_form_schemas:
-  - variable: server_url
-    label:
-      zh_Hans: 服务器URL
-      en_US: Server url
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入OpenLLM的服务器地址，如 https://example.com/xxx
-      en_US: Enter the url of your OpenLLM, for example https://example.com/xxx
+    - variable: server_url
+      label:
+        zh_Hans: 服务器URL
+        en_US: Server url
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入OpenLLM的服务器地址，如 https://example.com/xxx
+        en_US: Enter the url of your OpenLLM, for example https://example.com/xxx

api/core/model_runtime/model_providers/replicate/replicate.yaml

@@ -13,29 +13,29 @@ help:
   url:
     en_US: https://replicate.com/account/api-tokens
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
       en_US: Model Name
       zh_Hans: 模型名称
   credential_form_schemas:
-  - variable: replicate_api_token
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 Replicate API Key
-      en_US: Enter your Replicate API Key
-  - variable: model_version
-    label:
-      en_US: Model Version
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的模型版本
-      en_US: Enter your model version
+    - variable: replicate_api_token
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 Replicate API Key
+        en_US: Enter your Replicate API Key
+    - variable: model_version
+      label:
+        en_US: Model Version
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的模型版本
+        en_US: Enter your model version

api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml

@@ -5,29 +5,29 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.5
-  help:
-    zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-    en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-- name: max_tokens
-  use_template: max_tokens
-  default: 512
-  min: 1
-  max: 4096
-  help:
-    zh_Hans: 模型回答的tokens的最大长度。
-    en_US: 模型回答的tokens的最大长度。
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  default: 4
-  min: 1
-  max: 6
-  help:
-    zh_Hans: 从 k 个候选中随机选择⼀个（⾮等概率）。
-    en_US: Randomly select one from k candidates (non-equal probability).
-  required: false
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    help:
+      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
+      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 4096
+    help:
+      zh_Hans: 模型回答的tokens的最大长度。
+      en_US: 模型回答的tokens的最大长度。
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    default: 4
+    min: 1
+    max: 6
+    help:
+      zh_Hans: 从 k 个候选中随机选择⼀个（⾮等概率）。
+      en_US: Randomly select one from k candidates (non-equal probability).
+    required: false

api/core/model_runtime/model_providers/spark/llm/spark-2.yaml

@@ -6,29 +6,29 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.5
-  help:
-    zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-    en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-- name: max_tokens
-  use_template: max_tokens
-  default: 2048
-  min: 1
-  max: 8192
-  help:
-    zh_Hans: 模型回答的tokens的最大长度。
-    en_US: 模型回答的tokens的最大长度。
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  default: 4
-  min: 1
-  max: 6
-  help:
-    zh_Hans: 从 k 个候选中随机选择⼀个（⾮等概率）。
-    en_US: Randomly select one from k candidates (non-equal probability).
-  required: false
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    help:
+      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
+      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
+  - name: max_tokens
+    use_template: max_tokens
+    default: 2048
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 模型回答的tokens的最大长度。
+      en_US: 模型回答的tokens的最大长度。
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    default: 4
+    min: 1
+    max: 6
+    help:
+      zh_Hans: 从 k 个候选中随机选择⼀个（⾮等概率）。
+      en_US: Randomly select one from k candidates (non-equal probability).
+    required: false

api/core/model_runtime/model_providers/spark/llm/spark-3.yaml

@@ -5,29 +5,29 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.5
-  help:
-    zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-    en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-- name: max_tokens
-  use_template: max_tokens
-  default: 2048
-  min: 1
-  max: 8192
-  help:
-    zh_Hans: 模型回答的tokens的最大长度。
-    en_US: 模型回答的tokens的最大长度。
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  default: 4
-  min: 1
-  max: 6
-  help:
-    zh_Hans: 从 k 个候选中随机选择⼀个（⾮等概率）。
-    en_US: Randomly select one from k candidates (non-equal probability).
-  required: false
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    help:
+      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
+      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
+  - name: max_tokens
+    use_template: max_tokens
+    default: 2048
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 模型回答的tokens的最大长度。
+      en_US: 模型回答的tokens的最大长度。
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    default: 4
+    min: 1
+    max: 6
+    help:
+      zh_Hans: 从 k 个候选中随机选择⼀个（⾮等概率）。
+      en_US: Randomly select one from k candidates (non-equal probability).
+    required: false

api/core/model_runtime/model_providers/spark/spark.yaml

@@ -15,32 +15,32 @@ help:
   url:
     en_US: https://www.xfyun.cn/solutions/xinghuoAPI
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: app_id
-    label:
-      en_US: APPID
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 APPID
-      en_US: Enter your APPID
-  - variable: api_secret
-    label:
-      en_US: APISecret
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 APISecret
-      en_US: Enter your APISecret
-  - variable: api_key
-    label:
-      en_US: APIKey
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 APIKey
-      en_US: Enter your APIKey
+    - variable: app_id
+      label:
+        en_US: APPID
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 APPID
+        en_US: Enter your APPID
+    - variable: api_secret
+      label:
+        en_US: APISecret
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 APISecret
+        en_US: Enter your APISecret
+    - variable: api_key
+      label:
+        en_US: APIKey
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 APIKey
+        en_US: Enter your APIKey

api/core/model_runtime/model_providers/togetherai/togetherai.yaml

@@ -2,9 +2,9 @@ provider: togetherai
 label:
   en_US: together.ai
 icon_small:
-    en_US: togetherai_square.svg
+  en_US: togetherai_square.svg
 icon_large:
-    en_US: togetherai.svg
+  en_US: togetherai.svg
 background: "#F1EFED"
 help:
   title:
@@ -13,63 +13,63 @@ help:
   url:
     en_US: https://api.together.xyz/
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
       en_US: Model Name
       zh_Hans: 模型名称
     placeholder:
-      en_US: Enter full model name   
+      en_US: Enter full model name
       zh_Hans: 输入模型全称
   credential_form_schemas:
-  - variable: api_key
-    required: true
-    label:
-      en_US: API Key
-    type: secret-input
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: mode
-    show_on:
-      - variable: __model_type
-        value: llm
-    label:
-      en_US: Completion mode
-    type: select
-    required: false
-    default: chat
-    placeholder:
-      zh_Hans: 选择对话类型
-      en_US: Select completion mode
-    options:
-      - value: completion
-        label:
-          en_US: Completion
-          zh_Hans: 补全
-      - value: chat
-        label:
-          en_US: Chat
-          zh_Hans: 对话
-  - variable: context_size
-    label:
-      zh_Hans: 模型上下文长度
-      en_US: Model context size
-    required: true
-    type: text-input
-    default: '4096'
-    placeholder:
-      zh_Hans: 在此输入您的模型上下文长度
-      en_US: Enter your Model context size
-  - variable: max_tokens_to_sample
-    label:
-      zh_Hans: 最大 token 上限
-      en_US: Upper bound for max tokens
-    show_on:
-    - variable: __model_type
-      value: llm
-    default: '4096'
-    type: text-input
+    - variable: api_key
+      required: true
+      label:
+        en_US: API Key
+      type: secret-input
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: mode
+      show_on:
+        - variable: __model_type
+          value: llm
+      label:
+        en_US: Completion mode
+      type: select
+      required: false
+      default: chat
+      placeholder:
+        zh_Hans: 选择对话类型
+        en_US: Select completion mode
+      options:
+        - value: completion
+          label:
+            en_US: Completion
+            zh_Hans: 补全
+        - value: chat
+          label:
+            en_US: Chat
+            zh_Hans: 对话
+    - variable: context_size
+      label:
+        zh_Hans: 模型上下文长度
+        en_US: Model context size
+      required: true
+      type: text-input
+      default: '4096'
+      placeholder:
+        zh_Hans: 在此输入您的模型上下文长度
+        en_US: Enter your Model context size
+    - variable: max_tokens_to_sample
+      label:
+        zh_Hans: 最大 token 上限
+        en_US: Upper bound for max tokens
+      show_on:
+        - variable: __model_type
+          value: llm
+      default: '4096'
+      type: text-input

api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml

@@ -6,52 +6,52 @@ model_properties:
   mode: completion
   context_size: 32000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 1.0
-  min: 0.0
-  max: 2.0
-  help:
-    zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-    en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-- name: top_p
-  use_template: top_p
-  default: 0.8
-  help:
-    zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-    en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-- name: max_tokens
-  use_template: max_tokens
-  default: 2000
-  min: 1
-  max: 2000
-  help:
-    zh_Hans: 用于限制模型生成token的数量，max_tokens设置的是生成上限，并不表示一定会生成这么多的token数量。
-    en_US: It is used to limit the number of tokens generated by the model. max_tokens sets the upper limit of generation, which does not mean that so many tokens will be generated.
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。默认不传递该参数，取值为None或当top_k大于100时，表示不启用top_k策略，此时，仅有top_p策略生效。
-    en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. This parameter is not passed by default. The value is None or when top_k is greater than 100, it means that the top_k policy is not enabled. At this time, only the top_p policy takes effect.
-  required: false
-- name: seed
-  label:
-    zh_Hans: 随机种子
-    en_US: Random seed
-  type: int
-  default: 1234
-  help:
-    zh_Hans: 生成时，随机数的种子，用于控制模型生成的随机性。如果使用相同的种子，每次运行生成的结果都将相同；当需要复现模型的生成结果时，可以使用相同的种子。seed参数支持无符号64位整数类型。默认值 1234。
-    en_US: When generating, the random number seed is used to control the randomness of model generation. If you use the same seed, the results generated by each run will be the same; when you need to reproduce the results of the model, you can use the same seed. The seed parameter supports unsigned 64-bit integer types. Default value 1234.
-  required: false
-- name: repetition_penalty
-  label:
-    en_US: Repetition penalty
-  type: float
-  default: 1.1
-  help:
-    zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-    en_US: Used to control the repetition of model generation. Increasing the repetition_penalty can reduce the repetition of model generation. 1.0 means no punishment.
+  - name: temperature
+    use_template: temperature
+    default: 1.0
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: top_p
+    use_template: top_p
+    default: 0.8
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: max_tokens
+    use_template: max_tokens
+    default: 2000
+    min: 1
+    max: 2000
+    help:
+      zh_Hans: 用于限制模型生成token的数量，max_tokens设置的是生成上限，并不表示一定会生成这么多的token数量。
+      en_US: It is used to limit the number of tokens generated by the model. max_tokens sets the upper limit of generation, which does not mean that so many tokens will be generated.
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。默认不传递该参数，取值为None或当top_k大于100时，表示不启用top_k策略，此时，仅有top_p策略生效。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. This parameter is not passed by default. The value is None or when top_k is greater than 100, it means that the top_k policy is not enabled. At this time, only the top_p policy takes effect.
+    required: false
+  - name: seed
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    type: int
+    default: 1234
+    help:
+      zh_Hans: 生成时，随机数的种子，用于控制模型生成的随机性。如果使用相同的种子，每次运行生成的结果都将相同；当需要复现模型的生成结果时，可以使用相同的种子。seed参数支持无符号64位整数类型。默认值 1234。
+      en_US: When generating, the random number seed is used to control the randomness of model generation. If you use the same seed, the results generated by each run will be the same; when you need to reproduce the results of the model, you can use the same seed. The seed parameter supports unsigned 64-bit integer types. Default value 1234.
+    required: false
+  - name: repetition_penalty
+    label:
+      en_US: Repetition penalty
+    type: float
+    default: 1.1
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repetition of model generation. Increasing the repetition_penalty can reduce the repetition of model generation. 1.0 means no punishment.

api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml

@@ -6,53 +6,53 @@ model_properties:
   mode: completion
   context_size: 8192
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 1.0
-  min: 0.0
-  max: 2.0
-  help:
-    zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-    en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-- name: top_p
-  use_template: top_p
-  default: 0.8
-  help:
-    zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-    en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-- name: max_tokens
-  use_template: max_tokens
-  default: 1500
-  min: 1
-  max: 1500
-  help:
-    zh_Hans: 用于限制模型生成token的数量，max_tokens设置的是生成上限，并不表示一定会生成这么多的token数量。
-    en_US: It is used to limit the number of tokens generated by the model. max_tokens sets the upper limit of generation, which does not mean that so many tokens will be generated.
-- name: top_k
-  label:
-    zh_Hans: 取样数量
-    en_US: Top k
-  type: int
-  help:
-    zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。默认不传递该参数，取值为None或当top_k大于100时，表示不启用top_k策略，此时，仅有top_p策略生效。
-    en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. This parameter is not passed by default. The value is None or when top_k is greater than 100, it means that the top_k policy is not enabled. At this time, only the top_p policy takes effect.
-  required: false
-- name: seed
-  label:
-    zh_Hans: 随机种子
-    en_US: Random seed
-  type: int
-  default: 1234
-  help:
-    zh_Hans: 生成时，随机数的种子，用于控制模型生成的随机性。如果使用相同的种子，每次运行生成的结果都将相同；当需要复现模型的生成结果时，可以使用相同的种子。seed参数支持无符号64位整数类型。默认值 1234。
-    en_US: When generating, the random number seed is used to control the randomness of model generation. If you use the same seed, the results generated by each run will be the same; when you need to reproduce the results of the model, you can use the same seed. The seed parameter supports unsigned 64-bit integer types. Default value 1234.
-  required: false
-- name: repetition_penalty
-  label:
-    en_US: Repetition penalty
-  type: float
-  default: 1.1
-  help:
-    zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-    en_US: Used to control the repetition of model generation. Increasing the repetition_penalty can reduce the repetition of model generation. 1.0 means no punishment.
-  required: false
+  - name: temperature
+    use_template: temperature
+    default: 1.0
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: top_p
+    use_template: top_p
+    default: 0.8
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1500
+    min: 1
+    max: 1500
+    help:
+      zh_Hans: 用于限制模型生成token的数量，max_tokens设置的是生成上限，并不表示一定会生成这么多的token数量。
+      en_US: It is used to limit the number of tokens generated by the model. max_tokens sets the upper limit of generation, which does not mean that so many tokens will be generated.
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。默认不传递该参数，取值为None或当top_k大于100时，表示不启用top_k策略，此时，仅有top_p策略生效。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. This parameter is not passed by default. The value is None or when top_k is greater than 100, it means that the top_k policy is not enabled. At this time, only the top_p policy takes effect.
+    required: false
+  - name: seed
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    type: int
+    default: 1234
+    help:
+      zh_Hans: 生成时，随机数的种子，用于控制模型生成的随机性。如果使用相同的种子，每次运行生成的结果都将相同；当需要复现模型的生成结果时，可以使用相同的种子。seed参数支持无符号64位整数类型。默认值 1234。
+      en_US: When generating, the random number seed is used to control the randomness of model generation. If you use the same seed, the results generated by each run will be the same; when you need to reproduce the results of the model, you can use the same seed. The seed parameter supports unsigned 64-bit integer types. Default value 1234.
+    required: false
+  - name: repetition_penalty
+    label:
+      en_US: Repetition penalty
+    type: float
+    default: 1.1
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repetition of model generation. Increasing the repetition_penalty can reduce the repetition of model generation. 1.0 means no punishment.
+    required: false

api/core/model_runtime/model_providers/tongyi/tongyi.yaml

@@ -15,16 +15,16 @@ help:
   url:
     en_US: https://dashscope.console.aliyun.com/api-key_management
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: dashscope_api_key
-    label:
-      en_US: APIKey
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 APIKey
-      en_US: Enter your APIKey
+    - variable: dashscope_api_key
+      label:
+        en_US: APIKey
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 APIKey
+        en_US: Enter your APIKey

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml

@@ -3,34 +3,34 @@ label:
   en_US: Ernie Bot 4
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4800
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  min: 0.1
-  max: 1.0
-  default: 0.8 
-- name: top_p
-  use_template: top_p
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 256
-  min: 1
-  max: 4800
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: disable_search
-  label:
-    zh_Hans: 禁用搜索
-    en_US: Disable Search
-  type: boolean
-  help:
-    zh_Hans: 禁用模型自行进行外部搜索。
-    en_US: Disable the model to perform external search.
-  required: false
+  - name: temperature
+    use_template: temperature
+    min: 0.1
+    max: 1.0
+    default: 0.8
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 256
+    min: 1
+    max: 4800
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: disable_search
+    label:
+      zh_Hans: 禁用搜索
+      en_US: Disable Search
+    type: boolean
+    help:
+      zh_Hans: 禁用模型自行进行外部搜索。
+      en_US: Disable the model to perform external search.
+    required: false

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml

@@ -3,34 +3,34 @@ label:
   en_US: Ernie Bot 8k
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 8000
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  min: 0.1
-  max: 1.0
-  default: 0.8 
-- name: top_p
-  use_template: top_p
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 1024
-  min: 1
-  max: 8000
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: disable_search
-  label:
-    zh_Hans: 禁用搜索
-    en_US: Disable Search
-  type: boolean
-  help:
-    zh_Hans: 禁用模型自行进行外部搜索。
-    en_US: Disable the model to perform external search.
-  required: false
+  - name: temperature
+    use_template: temperature
+    min: 0.1
+    max: 1.0
+    default: 0.8
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 1024
+    min: 1
+    max: 8000
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: disable_search
+    label:
+      zh_Hans: 禁用搜索
+      en_US: Disable Search
+    type: boolean
+    help:
+      zh_Hans: 禁用模型自行进行外部搜索。
+      en_US: Disable the model to perform external search.
+    required: false

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml

@@ -3,25 +3,25 @@ label:
   en_US: Ernie Bot Turbo
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 11200
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  min: 0.1
-  max: 1.0
-  default: 0.8 
-- name: top_p
-  use_template: top_p
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 1024
-  min: 1
-  max: 11200
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
+  - name: temperature
+    use_template: temperature
+    min: 0.1
+    max: 1.0
+    default: 0.8
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 1024
+    min: 1
+    max: 11200
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml

@@ -3,34 +3,34 @@ label:
   en_US: Ernie Bot
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4800
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  min: 0.1
-  max: 1.0
-  default: 0.8 
-- name: top_p
-  use_template: top_p
-- name: max_tokens
-  use_template: max_tokens
-  required: true
-  default: 256
-  min: 1
-  max: 4800
-- name: presence_penalty
-  use_template: presence_penalty
-- name: frequency_penalty
-  use_template: frequency_penalty
-- name: disable_search
-  label:
-    zh_Hans: 禁用搜索
-    en_US: Disable Search
-  type: boolean
-  help:
-    zh_Hans: 禁用模型自行进行外部搜索。
-    en_US: Disable the model to perform external search.
-  required: false
+  - name: temperature
+    use_template: temperature
+    min: 0.1
+    max: 1.0
+    default: 0.8
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 256
+    min: 1
+    max: 4800
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: disable_search
+    label:
+      zh_Hans: 禁用搜索
+      en_US: Disable Search
+    type: boolean
+    help:
+      zh_Hans: 禁用模型自行进行外部搜索。
+      en_US: Disable the model to perform external search.
+    required: false

api/core/model_runtime/model_providers/wenxin/wenxin.yaml

@@ -16,24 +16,24 @@ help:
   url:
     en_US: https://cloud.baidu.com/wenxin.html
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: api_key
-    label:
-      en_US: API Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-  - variable: secret_key
-    label:
-      en_US: Secret Key
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 Secret Key
-      en_US: Enter your Secret Key
+    - variable: api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key
+    - variable: secret_key
+      label:
+        en_US: Secret Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 Secret Key
+        en_US: Enter your Secret Key

api/core/model_runtime/model_providers/xinference/xinference.yaml

@@ -13,11 +13,11 @@ help:
   url:
     en_US: https://github.com/xorbitsai/inference
 supported_model_types:
-- llm
-- text-embedding
-- rerank
+  - llm
+  - text-embedding
+  - rerank
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:
@@ -27,21 +27,21 @@ model_credential_schema:
       en_US: Enter your model name
       zh_Hans: 输入模型名称
   credential_form_schemas:
-  - variable: server_url
-    label:
-      zh_Hans: 服务器URL
-      en_US: Server url
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入Xinference的服务器地址，如 https://example.com/xxx
-      en_US: Enter the url of your Xinference, for example https://example.com/xxx
-  - variable: model_uid
-    label:
-      zh_Hans: 模型UID
-      en_US: Model uid
-    type: text-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的Model UID
-      en_US: Enter the model uid
+    - variable: server_url
+      label:
+        zh_Hans: 服务器URL
+        en_US: Server url
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入Xinference的服务器地址，如 https://example.com/xxx
+        en_US: Enter the url of your Xinference, for example https://example.com/xxx
+    - variable: model_uid
+      label:
+        zh_Hans: 模型UID
+        en_US: Model uid
+      type: text-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的Model UID
+        en_US: Enter the model uid

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml

@@ -5,18 +5,18 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.9
-  min: 0.0
-  max: 1.0
-  help:
-    zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
-  use_template: top_p
-  default: 0.7
-  help:
-    zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
+  - name: temperature
+    use_template: temperature
+    default: 0.9
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: top_p
+    use_template: top_p
+    default: 0.7
+    help:
+      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+deprecated: true

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml

@@ -5,18 +5,18 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.9
-  min: 0.0
-  max: 1.0
-  help:
-    zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
-  use_template: top_p
-  default: 0.7
-  help:
-    zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
+  - name: temperature
+    use_template: temperature
+    default: 0.9
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: top_p
+    use_template: top_p
+    default: 0.7
+    help:
+      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+deprecated: true

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml

@@ -5,18 +5,18 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.9
-  min: 0.0
-  max: 1.0
-  help:
-    zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
-  use_template: top_p
-  default: 0.7
-  help:
-    zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
+  - name: temperature
+    use_template: temperature
+    default: 0.9
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: top_p
+    use_template: top_p
+    default: 0.7
+    help:
+      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+deprecated: true

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml

@@ -5,18 +5,18 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.9
-  min: 0.0
-  max: 1.0
-  help:
-    zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
-  use_template: top_p
-  default: 0.7
-  help:
-    zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
+  - name: temperature
+    use_template: temperature
+    default: 0.9
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: top_p
+    use_template: top_p
+    default: 0.7
+    help:
+      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+deprecated: true

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml

@@ -5,38 +5,38 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
-  use_template: temperature
-  default: 0.95
-  min: 0.0
-  max: 1.0
-  help:
-    zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
-  use_template: top_p
-  default: 0.7
-  help:
-    zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-    en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: incremental
-  label:
-    zh_Hans: 增量返回
-    en_US: Incremental
-  type: boolean
-  help:
-    zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。
-    en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return.
-  required: false
-- name: return_type
-  label:
-    zh_Hans: 回复类型
-    en_US: Return Type
-  type: string
-  help:
-    zh_Hans: 用于控制每次返回内容的类型，空或者没有此字段时默认按照 json_string 返回，json_string 返回标准的 JSON 字符串，text 返回原始的文本内容。
-    en_US: Used to control the type of content returned each time. When it is empty or does not have this field, it will be returned as json_string by default. json_string returns a standard JSON string, and text returns the original text content.
-  required: false
-  options:
-  - text
-  - json_string
+  - name: temperature
+    use_template: temperature
+    default: 0.95
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: top_p
+    use_template: top_p
+    default: 0.7
+    help:
+      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: incremental
+    label:
+      zh_Hans: 增量返回
+      en_US: Incremental
+    type: boolean
+    help:
+      zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。
+      en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return.
+    required: false
+  - name: return_type
+    label:
+      zh_Hans: 回复类型
+      en_US: Return Type
+    type: string
+    help:
+      zh_Hans: 用于控制每次返回内容的类型，空或者没有此字段时默认按照 json_string 返回，json_string 返回标准的 JSON 字符串，text 返回原始的文本内容。
+      en_US: Used to control the type of content returned each time. When it is empty or does not have this field, it will be returned as json_string by default. json_string returns a standard JSON string, and text returns the original text content.
+    required: false
+    options:
+      - text
+      - json_string

api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml

@@ -1,4 +1,4 @@
 model: text_embedding
 model_type: text-embedding
 model_properties:
-  context_size: 512
+  context_size: 512

api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml

@@ -15,17 +15,17 @@ help:
   url:
     en_US: https://open.bigmodel.cn/usercenter/apikeys
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-  - variable: api_key
-    label:
-      en_US: APIKey
-    type: secret-input
-    required: true
-    placeholder:
-      zh_Hans: 在此输入您的 APIKey
-      en_US: Enter your APIKey
+    - variable: api_key
+      label:
+        en_US: APIKey
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 APIKey
+        en_US: Enter your APIKey

docker/docker-compose.yaml

@@ -236,7 +236,7 @@ services:
     # ports:
     #   - "5432:5432"
     healthcheck:
-      test: ["CMD", "pg_isready"]
+      test: [ "CMD", "pg_isready" ]
       interval: 1s
       timeout: 3s
       retries: 30