version to 0.5.11 (#3038)

Co-authored-by: crazywoola <427733928@qq.com>

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,49 +1,58 @@
 name: "🕷️ Bug report"
-description: Report errors or unexpected behavior [please use English :）]
+description: Report errors or unexpected behavior
 labels:
-- bug
+  - bug
 body:
-- type: markdown
-  attributes:
-    value: Please make sure to [search for existing issues](https://github.com/langgenius/dify/issues) before filing a new one!
-- type: input
-  attributes:
-    label: Dify version
-    placeholder: 0.3.21
-    description: See about section in Dify console
-  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 submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
+          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: input
+    attributes:
+      label: Dify version
+      placeholder: 0.3.21
+      description: See about section in Dify console
+    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: 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: ✔️ Expected Behavior
-    placeholder: What were you expecting?
-  validations:
-    required: false
+  - 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: ❌ Actual Behavior
-    placeholder: What happened instead?
-  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

.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

@@ -1,11 +1,22 @@
 name: "📚 Documentation Issue"
-description: Report issues in our documentation [please use English :）]
-labels: 
-- ducumentation
+description: Report issues in our documentation
+labels:
+  - ducumentation
 body:
-- 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 submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
+          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

@@ -1,26 +1,50 @@
 name: "⭐ Feature or enhancement request"
-description: Propose something new. [please use English :）]
+description: Propose something new.
 labels:
-- enhancement
+  - enhancement
 body:
-- 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 submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
+          required: true
+  - type: textarea
+    attributes:
+      label: 1. Is this request related to a challenge you're experiencing?
+      placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 2. Describe the feature you'd like to see
+      placeholder: Think about what you want to achieve and how this feature will help you. Sketches, flow diagrams, or any visual representation will be a major plus.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 3. How will this feature improve your workflow or experience?
+      placeholder: Tell us how this change will benefit your work. This helps us prioritize based on user impact.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 4. Additional context or comments
+      placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
+    validations:
+      required: false
+  - type: checkboxes
+    attributes:
+      label: 5. Can you help us with this feature?
+      description: Let us know! This is not a commitment, but a starting point for collaboration.
+      options:
+        - label: I am interested in contributing to this feature.
+          required: false
+  - type: markdown
+    attributes:
+      value: Please limit one request per issue.

.github/ISSUE_TEMPLATE/help_wanted.yml

@@ -1,11 +1,22 @@
 name: "🤝 Help Wanted"
-description: "Request help from the community" [please use English :）]
+description: "Request help from the community [please use English :）]"
 labels:
-- help-wanted
+  - help-wanted
 body:
-- 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 submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
+          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

@@ -1,46 +1,54 @@
 name: "🌐 Localization/Translation issue"
 description: Report incorrect translations. [please use English :）]
 labels:
-- translation
+  - translation
 body:
-- type: markdown
-  attributes:
-    value: Please make sure to [search for existing issues](https://github.com/langgenius/dify/issues) before filing a new one!
-- 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 submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
+          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

@@ -0,0 +1 @@
+failure-threshold: "error"

.github/linters/.isort.cfg

@@ -0,0 +1,2 @@
+[settings]
+line_length=120

.github/linters/.yaml-lint.yml

@@ -0,0 +1,11 @@
+---
+
+extends: default
+
+rules:
+  brackets:
+    max-spaces-inside: 1
+  comments-indentation: disable
+  document-start: disable
+  line-length: disable
+  truthy: disable

.github/pull_request_template.md

@@ -0,0 +1,32 @@
+# Description
+
+Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
+
+Fixes # (issue)
+
+## Type of Change
+
+Please delete options that are not relevant.
+
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
+- [ ] Improvement，including but not limited to code refactoring, performance optimization, and UI/UX improvement
+- [ ] Dependency upgrade
+
+# How Has This Been Tested?
+
+Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
+
+- [ ] TODO
+
+# Suggested Checklist:
+
+- [ ] I have performed a self-review of my own code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] My changes generate no new warnings
+- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+- [ ] `optional` I have made corresponding changes to the documentation 
+- [ ] `optional` I have added tests that prove my fix is effective or that my feature works
+- [ ] `optional` New and existing unit tests pass locally with my changes

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

@@ -0,0 +1,45 @@
+name: Run Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    env:
+      OPENAI_API_KEY: sk-IamNotARealKeyJustForMockTestKawaiiiiiiiiii
+      AZURE_OPENAI_API_BASE: https://difyai-openai.openai.azure.com
+      AZURE_OPENAI_API_KEY: xxxxb1707exxxxxxxxxxaaxxxxxf94
+      ANTHROPIC_API_KEY: sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz
+      CHATGLM_API_BASE: http://a.abc.com:11451
+      XINFERENCE_SERVER_URL: http://a.abc.com:11451
+      XINFERENCE_GENERATION_MODEL_UID: generate
+      XINFERENCE_CHAT_MODEL_UID: chat
+      XINFERENCE_EMBEDDINGS_MODEL_UID: embedding
+      XINFERENCE_RERANK_MODEL_UID: rerank
+      GOOGLE_API_KEY: abcdefghijklmnopqrstuvwxyz
+      HUGGINGFACE_API_KEY: hf-awuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwu
+      HUGGINGFACE_TEXT_GEN_ENDPOINT_URL: a
+      HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL: b
+      HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL: c
+      MOCK_SWITCH: true
+
+    steps:
+      - 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: 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

.github/workflows/api-unit-tests.yml

@@ -1,38 +0,0 @@
-name: Run Pytest
-
-on:
-  pull_request:
-    branches:
-      - main
-  push:
-    branches:
-      - deploy/dev
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v2
-
-    - name: Set up Python
-      uses: actions/setup-python@v2
-      with:
-        python-version: '3.10'
-
-    - name: Cache pip dependencies
-      uses: actions/cache@v2
-      with:
-        path: ~/.cache/pip
-        key: ${{ runner.os }}-pip-${{ hashFiles('api/requirements.txt') }}
-        restore-keys: ${{ runner.os }}-pip-
-
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install pytest
-        pip install -r api/requirements.txt
-
-    - name: Run pytest
-      run: pytest api/tests/unit_tests

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

@@ -1,60 +0,0 @@
-name: Build and Push API Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-  release:
-    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@v2
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-api
-        tags: |
-          type=raw,value=latest,enable=${{ 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@v4
-      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 }}

.github/workflows/build-push.yml

@@ -0,0 +1,64 @@
+name: Build and Push API & Web
+
+on:
+  push:
+    branches:
+      - "main"
+      - "deploy/dev"
+  release:
+    types: [published]
+
+env:
+  DOCKERHUB_USER: ${{ secrets.DOCKERHUB_USER }}
+  DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }}
+  DIFY_WEB_IMAGE_NAME: ${{ vars.DIFY_WEB_IMAGE_NAME || 'langgenius/dify-web' }}
+  DIFY_API_IMAGE_NAME: ${{ vars.DIFY_API_IMAGE_NAME || 'langgenius/dify-api' }}
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    if: github.event.pull_request.draft == false
+    strategy:
+      matrix:
+        include:
+          - service_name: "web"
+            image_name_env: "DIFY_WEB_IMAGE_NAME"
+            context: "web"
+          - service_name: "api"
+            image_name_env: "DIFY_API_IMAGE_NAME"
+            context: "api"
+    steps:
+      - name: Set up QEMU
+        uses: docker/setup-qemu-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: ${{ env.DOCKERHUB_USER }}
+          password: ${{ env.DOCKERHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env[matrix.image_name_env] }}
+          tags: |
+            type=raw,value=latest,enable=${{ 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}}:${{ matrix.context }}"
+          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

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

@@ -1,60 +0,0 @@
-name: Build and Push WEB Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-  release:
-    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@v2
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-web
-        tags: |
-          type=raw,value=latest,enable=${{ 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@v4
-      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 }}

.github/workflows/deploy-dev.yml

@@ -0,0 +1,24 @@
+name: Deploy Dev
+
+on:
+  workflow_run:
+    workflows: ["Build and Push API & Web"]
+    branches:
+      - "deploy/dev"
+    types:
+      - completed
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    if: |
+      github.event.workflow_run.conclusion == 'success'
+    steps:
+      - name: Deploy to server
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ vars.SSH_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

@@ -0,0 +1,76 @@
+name: Style check
+
+on:
+  pull_request:
+    branches:
+      - main
+
+concurrency:
+  group: dep-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  python-style:
+    name: Python Style
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+
+      - name: Python dependencies
+        run: pip install ruff
+
+      - name: Ruff check
+        run: ruff check ./api
+
+      - name: Lint hints
+        if: failure()
+        run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
+
+  test:
+    name: ESLint and SuperLinter
+    runs-on: ubuntu-latest
+    needs: python-style
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Setup NodeJS
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: yarn
+          cache-dependency-path: ./web/package.json
+
+      - name: Web dependencies
+        run: |
+          cd ./web
+          yarn install --frozen-lockfile
+
+      - name: Web style check
+        run: |
+          cd ./web
+          yarn run lint
+
+      - name: Super-linter
+        uses: super-linter/super-linter/slim@v6
+        env:
+          BASH_SEVERITY: warning
+          DEFAULT_BRANCH: main
+          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

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

@@ -0,0 +1,34 @@
+name: Run Unit Test For SDKs
+
+on:
+  pull_request:
+    branches:
+      - main
+jobs:
+  build:
+    name: unit test for Node.js SDK
+    runs-on: ubuntu-latest
+
+    strategy:
+      matrix:
+        node-version: [16, 18, 20]
+
+    defaults:
+      run:
+        working-directory: sdks/nodejs-client
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Use Node.js ${{ matrix.node-version }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ matrix.node-version }}
+          cache: ''
+          cache-dependency-path: 'yarn.lock'
+
+      - name: Install Dependencies
+        run: yarn install
+
+      - name: Test
+        run: yarn test

.github/workflows/tool-tests.yaml

@@ -0,0 +1,26 @@
+name: Run Tool Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - 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: Install dependencies
+        run: pip install -r ./api/requirements.txt
+
+      - name: Run pytest
+        run: pytest ./api/tests/integration_tests/tools/test_all_provider.py

.gitignore

@@ -145,10 +145,14 @@ docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
 docker/volumes/qdrant/*
+docker/volumes/etcd/*
+docker/volumes/minio/*
+docker/volumes/milvus/*
 
 sdks/python-client/build
 sdks/python-client/dist
 sdks/python-client/dify_client.egg-info
 
 .vscode/*
-!.vscode/launch.json
+!.vscode/launch.json
+pyrightconfig.json

CONTRIBUTING.md

@@ -1,61 +1,158 @@
-# Contributing
+So you're looking to contribute to Dify - that's awesome, we can't wait to see what you do. As a startup with limited headcount and funding, we have grand ambitions to design the most intuitive workflow for building and managing LLM applications. Any help from the community counts, truly.
 
-Thanks for your interest in [Dify](https://dify.ai) and for wanting to contribute! Before you begin, read the
-[code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md) and check out the
-[existing issues](https://github.com/langgenius/langgenius-gateway/issues).
-This document describes how to set up your development environment to build and test [Dify](https://dify.ai).
+We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part. 
 
-### Install dependencies
+This guide, like Dify itself, is a constant work in progress. We highly appreciate your understanding if at times it lags behind the actual project, and welcome any feedback for us to improve.
 
-You need to install and configure the following dependencies on your machine to build [Dify](https://dify.ai):
+In terms of licensing, please take a minute to read our short [License and Contributor Agreement](./license). The community also adheres to the [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
+
+## Before you jump in
+
+[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
+
+### Feature requests:
+
+* If you're opening a new feature request, we'd like you to explain what the proposed feature achieves, and include as much context as possible. [@perzeusss](https://github.com/perzeuss) has made a solid [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) that helps you draft out your needs. Feel free to give it a try.
+
+* If you want to pick one up from the existing issues, simply drop a comment below it saying so.
+
+  
+
+  A team member working in the related direction will be looped in. If all looks good, they will give the go-ahead for you to start coding. We ask that you hold off working on the feature until then, so none of your work goes to waste should we propose changes.
+
+  Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
+
+  | Member                                                       | Scope                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
+  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
+
+  How we prioritize:
+
+  | Feature Type                                                 | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | High-Priority Features as being labeled by a team member     | High Priority   |
+  | Popular feature requests from our [community feedback board](https://feedback.dify.ai/) | Medium Priority |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
+
+### Anything else (e.g. bug report, performance optimization, typo correction):
+
+* Start coding right away.
+
+  How we prioritize:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
+
+## Installing
+
+Here are the steps to set up Dify for development:
+
+### 1. Fork this repository
+
+### 2. Clone the repo
+
+ Clone the forked repository from your terminal:
+
+```
+git clone git@github.com:<github_username>/dify.git
+```
+
+### 3. Verify dependencies
+
+Dify requires the following dependencies to build, make sure they're installed on your system:
 
-- [Git](http://git-scm.com/)
 - [Docker](https://www.docker.com/)
 - [Docker Compose](https://docs.docker.com/compose/install/)
 - [Node.js v18.x (LTS)](http://nodejs.org)
 - [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
 - [Python](https://www.python.org/) version 3.10.x
 
-## Local development
+### 4. Installations
 
-To set up a working development environment, just fork the project git repository and install the backend and frontend dependencies using the proper package manager and create run the docker-compose stack.
+Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
 
-### Fork the repository
+Check the [installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) for a list of common issues and steps to troubleshoot.
 
-you need to fork the [repository](https://github.com/langgenius/dify).
+### 5. Visit dify in your browser
 
-### Clone the repo
+To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running. 
 
-Clone your GitHub forked repository:
+## Developing
+
+If you are adding a model provider, [this guide](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) is for you.
+
+If you are adding a tool provider to Agent or Workflow, [this guide](./api/core/tools/README.md) is for you.
+
+To help you quickly navigate where your contribution fits, a brief, annotated outline of Dify's backend & frontend is as follows:
+
+### Backend
+
+Dify’s backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login. 
 
 ```
-git clone git@github.com:<github_username>/dify.git
+[api/]
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
+└── tests
 ```
 
-### Install backend
+### Frontend
 
-To learn how to install the backend application, please refer to the [Backend README](api/README.md).
+The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
 
-### Install frontend
+```
+[web/]
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (shareLayout)     // layouts specifically shared across token-specific sessions 
+│   ├── activate          // activate page
+│   ├── components        // shared by pages and layouts
+│   ├── install           // install page
+│   ├── signin            // signin page
+│   └── styles            // globally shared styles
+├── assets                // Static assets
+├── bin                   // scripts ran at build step
+├── config                // adjustable settings and options 
+├── context               // shared contexts used by different portions of the app
+├── dictionaries          // Language-specific translate files 
+├── docker                // container configurations
+├── hooks                 // Reusable hooks
+├── i18n                  // Internationalization configuration
+├── models                // describes data models & shapes of API responses
+├── public                // meta assets like favicon
+├── service               // specifies shapes of API actions
+├── test                  
+├── types                 // descriptions of function params and return values
+└── utils                 // Shared utility functions
+```
 
-To learn how to install the frontend application, please refer to the [Frontend README](web/README.md).
+## Submitting your PR
 
-### Visit dify in your browser
+At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests). 
 
-Finally, you can now visit [http://localhost:3000](http://localhost:3000) to view the [Dify](https://dify.ai) in local environment.
+And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
 
+## Getting Help
 
-## Create a pull request
-
-After making your changes, open a pull request (PR). Once you submit your pull request, others from the Dify team/community will review it with you.
-
-Did you have an issue, like a merge conflict, or don't know how to open a pull request? Check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) on how to resolve merge conflicts and other issues. Once your PR has been merged, you will be proudly listed as a contributor in the [contributor chart](https://github.com/langgenius/langgenius-gateway/graphs/contributors).
-
-## Community channels
-
-Stuck somewhere? Have any questions? Join the [Discord Community Server](https://discord.gg/j3XRWSPBf7). We are here to help!
-
-### i18n (Internationalization) Support
-
-We are looking for contributors to help with translations in other languages. If you are interested in helping, please join the [Discord Community Server](https://discord.gg/AhzKf7dNgk) and let us know.  
-Also check out the [Frontend i18n README]((web/i18n/README_EN.md)) for more information.
+If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat. 

CONTRIBUTING_CN.md

@@ -1,57 +1,155 @@
-# 贡献
+所以你想为 Dify 做贡献 - 这太棒了，我们迫不及待地想看到你的贡献。作为一家人员和资金有限的初创公司，我们有着雄心勃勃的目标，希望设计出最直观的工作流程来构建和管理 LLM 应用程序。社区的任何帮助都是宝贵的。
 
-感谢您对 [Dify](https://dify.ai) 的兴趣，并希望您能够做出贡献！在开始之前，请先阅读[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)并查看[现有问题](https://github.com/langgenius/dify/issues)。
-本文档介绍了如何设置开发环境以构建和测试 [Dify](https://dify.ai)。
+考虑到我们的现状，我们需要灵活快速地交付，但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南，旨在让你熟悉代码库和我们与贡献者的合作方式，以便你能快速进入有趣的部分。
 
-### 安装依赖项
+这份指南，就像 Dify 本身一样，是一个不断改进的工作。如果有时它落后于实际项目，我们非常感谢你的理解，并欢迎任何反馈以供我们改进。
 
-您需要在计算机上安装和配置以下依赖项才能构建 [Dify](https://dify.ai)：
+在许可方面，请花一分钟阅读我们简短的[许可证和贡献者协议](./license)。社区还遵守[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
 
-- [Git](http://git-scm.com/)
-- [Docker](https://www.docker.com/)
-- [Docker Compose](https://docs.docker.com/compose/install/)
-- [Node.js v18.x (LTS)](http://nodejs.org)
-- [npm](https://www.npmjs.com/) 版本 8.x.x 或 [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) 版本 3.10.x
+## 在开始之前
 
-## 本地开发
+[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:closed)现有问题，或[创建](https://github.com/langgenius/dify/issues/new/choose)一个新问题。我们将问题分为两类：
 
-要设置一个可工作的开发环境，只需 fork 项目的 git 存储库，并使用适当的软件包管理器安装后端和前端依赖项，然后创建并运行 docker-compose。
+### 功能请求：
 
-### Fork存储库
+* 如果您要提出新的功能请求，请解释所提议的功能的目标，并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss)制作了一个很好的[功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX)，可以帮助您起草需求。随时尝试一下。
 
-您需要 fork [Git 仓库](https://github.com/langgenius/dify)。
+* 如果您想从现有问题中选择一个，请在其下方留下评论表示您的意愿。
 
-### 克隆存储库
+相关方向的团队成员将参与其中。如果一切顺利，他们将批准您开始编码。在此之前，请不要开始工作，以免我们提出更改导致您的工作付诸东流。
 
-克隆您在 GitHub 上 fork 的仓库：
+根据所提议的功能所属的领域不同，您可能需要与不同的团队成员交流。以下是我们团队成员目前正在从事的各个领域的概述：
+
+  | Member                                                       | Scope                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
+  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
+
+  How we prioritize:
+
+  | Feature Type                                                 | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | High-Priority Features as being labeled by a team member     | High Priority   |
+  | Popular feature requests from our [community feedback board](https://feedback.dify.ai/) | Medium Priority |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
+
+### 其他任何事情（例如bug报告、性能优化、拼写错误更正）：
+* 立即开始编码。
+
+  How we prioritize:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
+
+## 安装
+
+以下是设置Dify进行开发的步骤：
+
+### 1. Fork该仓库
+
+### 2. 克隆仓库
+
+从终端克隆fork的仓库：
 
 ```
 git clone git@github.com:<github_username>/dify.git
 ```
 
-### 安装后端
+### 3. 验证依赖项
 
-要了解如何安装后端应用程序，请参阅[后端 README](api/README.md)。
+Dify 依赖以下工具和库：
 
-### 安装前端
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) version 3.10.x
 
-要了解如何安装前端应用程序，请参阅[前端 README](web/README.md)。
+### 4. 安装
 
-### 在浏览器中访问 Dify
+Dify由后端和前端组成。通过`cd api/`导航到后端目录，然后按照[后端README](api/README.md)进行安装。在另一个终端中，通过`cd web/`导航到前端目录，然后按照[前端README](web/README.md)进行安装。
 
-最后，您现在可以访问 [http://localhost:3000](http://localhost:3000) 在本地环境中查看 [Dify](https://dify.ai)。
+查看[安装常见问题解答](https://docs.dify.ai/getting-started/faq/install-faq)以获取常见问题列表和故障排除步骤。
 
-## 创建拉取请求
+### 5. 在浏览器中访问Dify
 
-在进行更改后，打开一个拉取请求（PR）。提交拉取请求后，Dify 团队/社区的其他人将与您一起审查它。
+为了验证您的设置，打开浏览器并访问[http://localhost:3000](http://localhost:3000)（默认或您自定义的URL和端口）。现在您应该看到Dify正在运行。
 
-如果遇到问题，比如合并冲突或不知道如何打开拉取请求，请查看 GitHub 的[拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)，了解如何解决合并冲突和其他问题。一旦您的 PR 被合并，您将自豪地被列为[贡献者表](https://github.com/langgenius/dify/graphs/contributors)中的一员。
+## 开发
 
-## 社区渠道
+如果您要添加模型提供程序，请参考[此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
 
-遇到困难了吗？有任何问题吗? 加入 [Discord Community Server](https://discord.gg/AhzKf7dNgk)，我们将为您提供帮助。
+如果您要向Agent或Workflow添加工具提供程序，请参考[此指南](./api/core/tools/README.md)。
 
-### 多语言支持
+为了帮助您快速了解您的贡献在哪个部分，以下是Dify后端和前端的简要注释大纲：
 
-需要参与贡献翻译内容，请参阅[前端多语言翻译 README](web/i18n/README_CN.md)。
+### 后端
+
+Dify的后端使用Python编写，使用[Flask](https://flask.palletsprojects.com/en/3.0.x/)框架。它使用[SQLAlchemy](https://www.sqlalchemy.org/)作为ORM，使用[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)作为任务队列。授权逻辑通过Flask-login进行处理。
+
+```
+[api/]
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
+└── tests
+```
+
+### 前端
+
+该网站使用基于Typescript的[Next.js](https://nextjs.org/)模板进行引导，并使用[Tailwind CSS](https://tailwindcss.com/)进行样式设计。[React-i18next](https://react.i18next.com/)用于国际化。
+
+```
+[web/]
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (shareLayout)     // layouts specifically shared across token-specific sessions 
+│   ├── activate          // activate page
+│   ├── components        // shared by pages and layouts
+│   ├── install           // install page
+│   ├── signin            // signin page
+│   └── styles            // globally shared styles
+├── assets                // Static assets
+├── bin                   // scripts ran at build step
+├── config                // adjustable settings and options 
+├── context               // shared contexts used by different portions of the app
+├── dictionaries          // Language-specific translate files 
+├── docker                // container configurations
+├── hooks                 // Reusable hooks
+├── i18n                  // Internationalization configuration
+├── models                // describes data models & shapes of API responses
+├── public                // meta assets like favicon
+├── service               // specifies shapes of API actions
+├── test                  
+├── types                 // descriptions of function params and return values
+└── utils                 // Shared utility functions
+```
+
+## 提交你的 PR
+
+最后，是时候向我们的仓库提交一个拉取请求（PR）了。对于重要的功能，我们首先将它们合并到 `deploy/dev` 分支进行测试，然后再合并到 `main` 分支。如果你遇到合并冲突或者不知道如何提交拉取请求的问题，请查看 [GitHub 的拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
+
+就是这样！一旦你的 PR 被合并，你将成为我们 [README](https://github.com/langgenius/dify/blob/main/README.md) 中的贡献者。
+
+## 获取帮助
+
+如果你在贡献过程中遇到困难或者有任何问题，可以通过相关的 GitHub 问题提出你的疑问，或者加入我们的 [Discord](https://discord.gg/8Tpq4AcN9c) 进行快速交流。

CONTRIBUTING_JA.md

@@ -1,55 +0,0 @@
-# コントリビュート
-
-[Dify](https://dify.ai) に興味を持ち、貢献したいと思うようになったことに感謝します！始める前に、
-[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を読み、
-[既存の問題](https://github.com/langgenius/langgenius-gateway/issues)をチェックしてください。
-本ドキュメントは、[Dify](https://dify.ai) をビルドしてテストするための開発環境の構築方法を説明するものです。
-
-### 依存関係のインストール
-
-[Dify](https://dify.ai)をビルドするには、お使いのマシンに以下の依存関係をインストールし、設定する必要があります:
-
-- [Git](http://git-scm.com/)
-- [Docker](https://www.docker.com/)
-- [Docker Compose](https://docs.docker.com/compose/install/)
-- [Node.js v18.x (LTS)](http://nodejs.org)
-- [npm](https://www.npmjs.com/) バージョン 8.x.x もしくは [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) バージョン 3.10.x
-
-## ローカル開発
-
-開発環境を構築するには、プロジェクトの git リポジトリをフォークし、適切なパッケージマネージャを使用してバックエンドとフロントエンドの依存関係をインストールし、docker-compose スタックを実行するように作成します。
-
-### リポジトリのフォーク
-
-[リポジトリ](https://github.com/langgenius/dify) をフォークする必要があります。
-
-### リポジトリのクローン
-
-GitHub でフォークしたリポジトリのクローンを作成する:
-
-```
-git clone git@github.com:<github_username>/dify.git
-```
-
-### バックエンドのインストール
-
-バックエンドアプリケーションのインストール方法については、[Backend README](api/README.md) を参照してください。
-
-### フロントエンドのインストール
-
-フロントエンドアプリケーションのインストール方法については、[Frontend README](web/README.md) を参照してください。
-
-### ブラウザで dify にアクセス
-
-[Dify](https://dify.ai) をローカル環境で見ることができるようになりました [http://localhost:3000](http://localhost:3000)。
-
-## プルリクエストの作成
-
-変更後、プルリクエスト (PR) をオープンしてください。プルリクエストを提出すると、Dify チーム/コミュニティの他の人があなたと一緒にそれをレビューします。
-
-マージコンフリクトなどの問題が発生したり、プルリクエストの開き方がわからなくなったりしませんでしたか？ [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) で、マージコンフリクトやその他の問題を解決する方法をチェックしてみてください。あなたの PR がマージされると、[コントリビュータチャート](https://github.com/langgenius/langgenius-gateway/graphs/contributors)にコントリビュータとして誇らしげに掲載されます。
-
-## コミュニティチャンネル
-
-お困りですか？何か質問がありますか？ [Discord Community サーバ](https://discord.gg/j3XRWSPBf7) に参加してください。私たちがお手伝いします！

LICENSE

@@ -1,24 +1,26 @@
-# Dify Open Source License
+# Open Source License
 
-The Dify project is licensed under the Apache License 2.0, with the following additional conditions:
+Dify is licensed under the Apache License 2.0, with the following additional conditions:
 
-1. Dify is permitted to be used for commercialization, such as using Dify as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
+1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
 
-a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify.AI source code to operate a multi-tenant SaaS service that is similar to the Dify.AI service edition.
-b. LOGO and copyright information: In the process of using Dify, you may not remove or modify the LOGO or copyright information in the Dify console.
+a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment. 
+    - Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
+
+b. LOGO and copyright information: In the process of using Dify's frontend components, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend components.
 
 Please contact business@dify.ai by email to inquire about licensing matters.
 
-2. As a contributor, you should agree that your contributed code:
+2. As a contributor, you should agree that:
 
-a. The producer can adjust the open-source agreement to be more strict or relaxed.
-b. Can be used for commercial purposes, such as Dify's cloud business.
+a. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.
+b. Your contributed code may be used for commercial purposes, including but not limited to its cloud business operations.
 
-Apart from this, all other rights and restrictions follow the Apache License 2.0. If you need more detailed information, you can refer to the full version of Apache License 2.0.
+Apart from the specific conditions mentioned above, all other rights and restrictions follow the Apache License 2.0. Detailed information about the Apache License 2.0 can be found at http://www.apache.org/licenses/LICENSE-2.0.
 
 The interactive design of this product is protected by appearance patent.
 
-© 2023 LangGenius, Inc.
+© 2024 LangGenius, Inc.
 
 
 ----------

Makefile

@@ -0,0 +1,43 @@
+# Variables
+DOCKER_REGISTRY=langgenius
+WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
+API_IMAGE=$(DOCKER_REGISTRY)/dify-api
+VERSION=latest
+
+# Build Docker images
+build-web:
+	@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
+	docker build -t $(WEB_IMAGE):$(VERSION) ./web
+	@echo "Web Docker image built successfully: $(WEB_IMAGE):$(VERSION)"
+
+build-api:
+	@echo "Building API Docker image: $(API_IMAGE):$(VERSION)..."
+	docker build -t $(API_IMAGE):$(VERSION) ./api
+	@echo "API Docker image built successfully: $(API_IMAGE):$(VERSION)"
+
+# Push Docker images
+push-web:
+	@echo "Pushing web Docker image: $(WEB_IMAGE):$(VERSION)..."
+	docker push $(WEB_IMAGE):$(VERSION)
+	@echo "Web Docker image pushed successfully: $(WEB_IMAGE):$(VERSION)"
+
+push-api:
+	@echo "Pushing API Docker image: $(API_IMAGE):$(VERSION)..."
+	docker push $(API_IMAGE):$(VERSION)
+	@echo "API Docker image pushed successfully: $(API_IMAGE):$(VERSION)"
+
+# Build all images
+build-all: build-web build-api
+
+# Push all images
+push-all: push-web push-api
+
+build-push-api: build-api push-api
+build-push-web: build-web push-web
+
+# Build and push all images
+build-push-all: build-all push-all
+	@echo "All Docker images have been built and pushed."
+
+# Phony targets
+.PHONY: build-web build-api push-web push-api build-all push-all build-push-all

README.md

@@ -4,7 +4,8 @@
   <a href="./README_CN.md">简体中文</a> |
   <a href="./README_JA.md">日本語</a> |
   <a href="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</a>
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
@@ -20,29 +21,38 @@
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
 </p>
 
-[v0.3.31:Surpassing the Assistants API – Dify's RAG Demonstrates an Impressive 20% Improvement.](https://dify.ai/blog/dify-ai-rag-technology-upgrade-performance-improvement-qa-accuracy)
+<p align="center">
+   <a href="https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6" target="_blank">
+   📌 Check out Dify Premium on AWS and deploy it to your own AWS VPC with one-click.
+  </a>
+</p>
 
-**Dify** is an LLM application development platform that has already seen over **100,000** applications built on Dify.AI. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine. With Dify, **you can self-deploy capabilities similar to Assistants API and GPTs based on any LLMs.**
+**Dify** is an LLM application development platform that has helped built over **100,000** applications. It integrates BaaS and LLMOps, covering the essential tech stack for building generative AI-native applications, including a built-in RAG engine. Dify allows you to **deploy your own version of Assistants API and GPTs, based on any LLMs.**
 
 ![](./images/demo.png)
 
-## Use Cloud Services
 
-Using [Dify.AI Cloud](https://dify.ai) provides all the capabilities of the open-source version, and includes a complimentary 200 GPT trial credits.
 
-## Why Dify
+## Using our Cloud Services
 
-Dify features model neutrality and is a complete, engineered tech stack compared to hardcoded development libraries like LangChain. Unlike OpenAI's Assistants API, Dify allows for full local deployment of services.
+You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free requests to OpenAI GPT-3.5.
+
+### Looking to purchase via AWS?
+Check out [Dify Premium on AWS](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. 
+
+## Dify vs. LangChain vs. Assistants API
 
 | Feature | Dify.AI | Assistants API | LangChain |
 |---------|---------|----------------|-----------|
 | **Programming Approach** | API-oriented | API-oriented | Python Code-oriented |
-| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source |
+| **Ecosystem Strategy** | Open Source | Close Source | Open Source |
 | **RAG Engine** | Supported | Supported | Not Supported |
 | **Prompt IDE** | Included | Included | None |
-| **Supported LLMs** | Rich Variety | Only GPT | Rich Variety |
+| **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety |
 | **Local Deployment** | Supported | Not Supported | Not Applicable |
 
+
+
 ## Features
 
 ![](./images/models.png)
@@ -53,12 +63,17 @@ Dify features model neutrality and is a complete, engineered tech stack compared
 
 **3. RAG Engine**: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats.
 
-**4. Agents**: A Function Calling based Agent framework that allows users to configure what they see is what they get. Dify includes basic plugin capabilities like Google Search.
+**4. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tool calling capabilities, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc.
+
 
 **5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
 
 ## Before You Start
 
+**Star us on GitHub, and be instantly notified for new releases!**
+
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
 - [Website](https://dify.ai)
 - [Docs](https://docs.dify.ai)
 - [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
@@ -85,10 +100,12 @@ docker compose up -d
 
 After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization installation process.
 
-### Helm Chart
+#### Deploy with Helm Chart
 
-A big thanks to @BorisPolonsky for providing us with a [Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
-You can go to https://github.com/BorisPolonsky/dify-helm for deployment information.
+[Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 ### Configuration
 
@@ -99,16 +116,40 @@ If you need to customize the configuration, please refer to the comments in our
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
+## Contributing
+
+For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+
+At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
+
+
+### Contributors
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+### Translations
+
+We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
 
 ## Community & Support
 
-We welcome you to contribute to Dify to help make Dify better in various ways, submitting code, issues, new ideas, or sharing the interesting and useful AI applications you have created based on Dify. At the same time, we also welcome you to share Dify at different events, conferences, and social media.
+* [Canny](https://feedback.dify.ai/). Best for: sharing feedback and checking out our feature roadmap.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Email Support](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+* [Business Contact](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Best for: business inquiries of licensing Dify.AI for commercial use.
 
-- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs and errors you encounter using Dify.AI, see the [Contribution Guide](CONTRIBUTING.md).
-- [Email Support](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
-- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
-- [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
-- [Business License](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Best for: business inquiries of licensing Dify.AI for commercial use.
+### Direct Meetings
+
+**Help us make Dify better. Reach out directly to us**.
+
+|                       Point of Contact                       |                           Purpose                            |
+| :----------------------------------------------------------: | :----------------------------------------------------------: |
+| <a href='https://cal.com/guchenhe/15min' target='_blank'><img src='https://i.postimg.cc/fWBqSmjP/Git-Hub-README-Button-3x.png' border='0' alt='Git-Hub-README-Button-3x' height="60" width="214"/></a> | Product design feedback, user experience discussions, feature planning and roadmaps. |
+| <a href='https://cal.com/pinkbanana' target='_blank'><img src='https://i.postimg.cc/LsRTh87D/Git-Hub-README-Button-2x.png' border='0' alt='Git-Hub-README-Button-2x' height="60" width="225"/></a> |        Technical support, issues, or feature requests        |
 
 ## Security Disclosure
 

README_CN.md

@@ -4,7 +4,8 @@
   <a href="./README_CN.md">简体中文</a> |
   <a href="./README_JA.md">日本語</a> |
   <a href="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</a>
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
@@ -20,10 +21,20 @@
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
 </p>
 
+<p align="center">
+   <a href="https://mp.weixin.qq.com/s/TnyfIuH-tPi9o1KNjwVArw" target="_blank">
+   Dify 发布 AI Agent 能力：基于不同的大型语言模型构建 GPTs 和 Assistants
+  </a>
+</p>
+
 Dify 是一个 LLM 应用开发平台，已经有超过 10 万个应用基于 Dify.AI 构建。它融合了 Backend as Service 和 LLMOps 的理念，涵盖了构建生成式 AI 原生应用所需的核心技术栈，包括一个内置 RAG 引擎。使用 Dify，你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。
 
 ![](./images/demo.png)
 
+## 使用云端服务
+
+使用 [Dify.AI Cloud](https://dify.ai) 提供开源版本的所有功能,并包含 200 次 GPT 试用额度。
+
 ## 为什么选择 Dify
 
 Dify 具有模型中立性，相较 LangChain 等硬编码开发库 Dify 是一个完整的、工程化的技术栈，而相较于 OpenAI 的 Assistants API 你可以完全将服务部署在本地。
@@ -48,12 +59,16 @@ Dify 具有模型中立性，相较 LangChain 等硬编码开发库 Dify 是一
 
 **3. RAG引擎**：包括各种基于全文索引或向量数据库嵌入的 RAG 能力，允许直接上传 PDF、TXT 等各种文本格式。
 
-**4. Agent**：基于函数调用的 Agent框架，允许用户自定义配置，所见即所得。Dify 提供了基本的插件能力，如谷歌搜索。
+**4. AI Agent**：基于 Function Calling 和 ReAct 的 Agent 推理框架，允许用户自定义工具，所见即所得。Dify 提供了十多种内置工具调用能力，如谷歌搜索、DELL·E、Stable Diffusion、WolframAlpha 等。
 
 **5. 持续运营**：监控和分析应用日志和性能，使用生产数据持续改进 Prompt、数据集或模型。
 
 ## 在开始之前
 
+**关注我们，您将立即收到 GitHub 上所有新发布版本的通知！**
+
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
 - [网站](https://dify.ai)
 - [文档](https://docs.dify.ai)
 - [部署文档](https://docs.dify.ai/getting-started/install-self-hosted)
@@ -79,10 +94,12 @@ docker compose up -d
 
 运行后，可以在浏览器上访问 [http://localhost/install](http://localhost/install) 进入 Dify 控制台并开始初始化安装操作。
 
-### Helm Chart
+#### 使用 Helm Chart 部署
 
-非常感谢 @BorisPolonsky 为我们提供了一个 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
-您可以前往 https://github.com/BorisPolonsky/dify-helm 来获取部署信息。
+使用 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 ### 配置
 
@@ -111,4 +128,4 @@ docker compose up -d
 
 ## License
 
-本仓库遵循 [Dify Open Source License](LICENSE) 开源协议。
+本仓库遵循 [Dify Open Source License](LICENSE) 开源协议，该许可证本质上是 Apache 2.0，但有一些额外的限制。

README_ES.md

@@ -3,7 +3,9 @@
   <a href="./README.md">English</a> |
   <a href="./README_CN.md">简体中文</a> |
   <a href="./README_JA.md">日本語</a> |
-  <a href="./README_ES.md">Español</a>
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
@@ -19,6 +21,12 @@
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
 </p>
 
+<p align="center">
+   <a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
+   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+  </a>
+</p>
+
 **Dify** es una plataforma de desarrollo de aplicaciones para modelos de lenguaje de gran tamaño (LLM) que ya ha visto la creación de más de **100,000** aplicaciones basadas en Dify.AI. Integra los conceptos de Backend como Servicio y LLMOps, cubriendo el conjunto de tecnologías esenciales requerido para construir aplicaciones nativas de inteligencia artificial generativa, incluyendo un motor RAG incorporado. Con Dify, **puedes auto-desplegar capacidades similares a las de Assistants API y GPTs basadas en cualquier LLM.**
 
 ![](./images/demo.png)
@@ -50,12 +58,16 @@ Dify se caracteriza por su neutralidad de modelo y es un conjunto tecnológico c
 
 **3. Motor RAG**: Incluye varias capacidades RAG basadas en indexación de texto completo o incrustaciones de base de datos vectoriales, permitiendo la carga directa de PDFs, TXTs y otros formatos de texto.
 
-**4. Agentes**: Un marco de Agentes basado en Llamadas de Función que permite a los usuarios configurar lo que ven es lo que obtienen. Dify incluye capacidades básicas de plugins como la Búsqueda de Google.
+**4. Agente de IA**: Basado en la llamada de funciones y ReAct, el marco de inferencia del Agente permite a los usuarios personalizar las herramientas, lo que ves es lo que obtienes. Dify proporciona más de una docena de capacidades de llamada de herramientas incorporadas, como Búsqueda de Google, DELL·E, Difusión Estable, WolframAlpha, etc.
 
 **5. Operaciones Continuas**: Monitorear y analizar registros de aplicaciones y rendimiento, mejorando continuamente Prompts, conjuntos de datos o modelos usando datos de producción.
 
 ## Antes de Empezar
 
+**¡Danos una estrella, y recibirás notificaciones instantáneas de todos los nuevos lanzamientos en GitHub!**
+
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
 - [Sitio web](https://dify.ai)
 - [Documentación](https://docs.dify.ai)
 - [Documentación de Implementación](https://docs.dify.ai/getting-started/install-self-hosted)
@@ -109,4 +121,4 @@ Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En
 
 ## Licencia
 
-Este repositorio está disponible bajo la [Licencia de código abierto de Dify](LICENSE).
+Este repositorio está disponible bajo la [Licencia de Código Abierto Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

README_FR.md

@@ -0,0 +1,127 @@
+[![](./images/describe.png)](https://dify.ai)
+<p align="center">
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
+</p>
+
+<p align="center">
+   <a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
+   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+  </a>
+</p>
+
+
+**Dify** est une plateforme de développement d'applications LLM qui a déjà vu plus de **100,000** applications construites sur Dify.AI. Elle intègre les concepts de Backend as a Service et LLMOps, couvrant la pile technologique de base requise pour construire des applications natives d'IA générative, y compris un moteur RAG intégré. Avec Dify, **vous pouvez auto-déployer des capacités similaires aux API Assistants et GPT basées sur n'importe quels LLM.**
+
+![](./images/demo.png)
+
+## Utiliser les services cloud  
+
+L'utilisation de [Dify.AI Cloud](https://dify.ai) fournit toutes les capacités de la version open source, et comprend un essai gratuit de 200 crédits GPT.
+
+## Pourquoi Dify
+
+Dify présente une neutralité de modèle et est une pile technologique complète et conçue par rapport à des bibliothèques de développement codées en dur comme LangChain. Contrairement à l'API Assistants d'OpenAI, Dify permet un déploiement local complet des services.
+
+| Fonctionnalité | Dify.AI | API Assistants | LangChain |
+|---------------|----------|-----------------|------------|
+| **Approche de programmation** | Orientée API | Orientée API | Orientée code Python |  
+| **Stratégie écosystème** | Open source | Fermé et commercial | Open source |
+| **Moteur RAG** | Pris en charge | Pris en charge | Non pris en charge |
+| **IDE d'invite** | Inclus | Inclus | Aucun |
+| **LLM pris en charge** | Grande variété | Seulement GPT | Grande variété |
+| **Déploiement local** | Pris en charge | Non pris en charge | Non applicable |
+
+ ## Fonctionnalités  
+
+![](./images/models.png)
+
+**1\. Support LLM**: Intégration avec la famille de modèles GPT d'OpenAI, ou les modèles de la famille open source Llama2. En fait, Dify prend en charge les modèles commerciaux grand public et les modèles open source (déployés localement ou basés sur MaaS).  
+
+**2\. IDE d'invite**: Orchestration visuelle d'applications et de services basés sur LLMs avec votre équipe.  
+
+**3\. Moteur RAG**: Comprend diverses capacités RAG basées sur l'indexation de texte intégral ou les embeddings de base de données vectorielles, permettant le chargement direct de PDF, TXT et autres formats de texte.
+
+**4\. AI Agent**: Basé sur l'appel de fonction et ReAct, le framework d'inférence de l'Agent permet aux utilisateurs de personnaliser les outils, ce que vous voyez est ce que vous obtenez. Dify propose plus d'une douzaine de capacités d'appel d'outils intégrées, telles que la recherche Google, DELL·E, Diffusion Stable, WolframAlpha, etc.
+
+**5\. Opérations continues**: Surveillez et analysez les journaux et les performances des applications, améliorez en continu les invites, les datasets ou les modèles à l'aide de données de production.  
+
+## Avant de commencer
+
+**Étoilez-nous, et vous recevrez des notifications instantanées pour toutes les nouvelles sorties sur GitHub !**
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
+- [Site web](https://dify.ai)  
+- [Documentation](https://docs.dify.ai)  
+- [Documentation de déploiement](https://docs.dify.ai/getting-started/install-self-hosted)   
+- [FAQ](https://docs.dify.ai/getting-started/faq)  
+
+
+## Installer la version Communauté  
+
+### Configuration système  
+
+Avant d'installer Dify, assurez-vous que votre machine répond aux exigences minimales suivantes:  
+
+- CPU >= 2 cœurs
+- RAM >= 4 Go 
+
+### Démarrage rapide 
+
+La façon la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:  
+
+```bash
+cd docker
+docker compose up -d
+```
+
+Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à l'adresse [http://localhost/install](http://localhost/install) et démarrer le processus d'installation initiale.  
+
+### Chart Helm 
+
+Un grand merci à @BorisPolonsky pour nous avoir fourni une version [Helm Chart](https://helm.sh/) qui permet le déploiement de Dify sur Kubernetes.
+Vous pouvez accéder à https://github.com/BorisPolonsky/dify-helm pour des informations de déploiement.  
+
+### Configuration  
+
+Si vous avez besoin de personnaliser la configuration, veuillez vous référer aux commentaires de notre fichier [docker-compose.yml](docker/docker-compose.yaml) et définir manuellement la configuration de l'environnement. Après avoir apporté les modifications, veuillez exécuter à nouveau `docker-compose up -d`. Vous trouverez la liste complète des variables d'environnement dans notre [documentation](https://docs.dify.ai/getting-started/install-self-hosted/environments).  
+
+## Historique d'étoiles  
+
+[![Diagramme de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)  
+
+
+## Communauté & Support  
+
+Nous vous invitons à contribuer à Dify pour aider à améliorer Dify de diverses manières, en soumettant du code, des problèmes, de nouvelles idées ou en partageant les applications d'IA intéressantes et utiles que vous avez créées sur la base de Dify. En même temps, nous vous invitons également à partager Dify lors de différents événements, conférences et réseaux sociaux.  
+
+- [Problèmes GitHub](https://github.com/langgenius/dify/issues). Idéal pour : les bogues et les erreurs que vous rencontrez en utilisant Dify.AI, voir le [Guide de contribution](CONTRIBUTING.md).  
+- [Support par courriel](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Idéal pour : les questions que vous avez au sujet de l'utilisation de Dify.AI.   
+- [Discord](https://discord.gg/FngNHpbcY7). Idéal pour : partager vos applications et discuter avec la communauté.   
+- [Twitter](https://twitter.com/dify_ai). Idéal pour : partager vos applications et discuter avec la communauté.
+- [Licence commerciale](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Idéal pour : les demandes commerciales de licence de Dify.AI pour un usage commercial.  
+
+## Divulgation de la sécurité  
+
+Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Envoyez plutôt vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.  
+
+## Licence  
+
+Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement Apache 2.0 avec quelques restrictions supplémentaires.

README_JA.md

@@ -4,7 +4,8 @@
   <a href="./README_CN.md">简体中文</a> |
   <a href="./README_JA.md">日本語</a> |
   <a href="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</a>
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
@@ -20,10 +21,19 @@
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
 </p>
 
+<p align="center">
+   <a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
+   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+  </a>
+</p>
+
+
 "Difyは、既にDify.AI上で10万以上のアプリケーションが構築されているLLMアプリケーション開発プラットフォームです。バックエンド・アズ・ア・サービスとLLMOpsの概念を統合し、組み込みのRAGエンジンを含む、生成AIネイティブアプリケーションを構築するためのコアテックスタックをカバーしています。Difyを使用すると、どのLLMに基づいても、Assistants APIやGPTのような機能を自己デプロイすることができます。"
 
 Please note that translating complex technical terms can sometimes result in slight variations in meaning due to differences in language nuances.
 
+![](./images/demo.png)
+
 ## クラウドサービスの利用
 
 [Dify.AI Cloud](https://dify.ai) を使用すると、オープンソース版の全機能を利用でき、さらに200GPTのトライアルクレジットが無料で提供されます。
@@ -41,9 +51,26 @@ Difyはモデルニュートラルであり、LangChainのようなハードコ
 | **サポートされるLLMs** | 豊富な種類 | GPTのみ | 豊富な種類 |
 | **ローカルデプロイメント** | サポート済み | 非サポート | 該当なし |
 
+ ## 機能
+
+![](./images/models.png)
+
+**1\. LLMサポート**: OpenAIのGPTファミリーモデルやLlama2ファミリーのオープンソースモデルとの統合。 実際、Difyは主要な商用モデルとオープンソースモデル(ローカルでデプロイまたはMaaSベース)をサポートしています。
+
+**2\. プロンプトIDE**: チームとのLLMベースのアプリケーションとサービスの視覚的なオーケストレーション。
+
+**3\. RAGエンジン**: フルテキストインデックスまたはベクトルデータベース埋め込みに基づくさまざまなRAG機能を含み、PDF、TXT、その他のテキストフォーマットの直接アップロードを可能にします。
+
+**4. AIエージェント**: 関数呼び出しとReActに基づくAgent推論フレームワークにより、ユーザーはツールをカスタマイズすることができます。Difyは、Google検索、DELL·E、Stable Diffusion、WolframAlphaなど、十数種類の組み込みツール呼び出し機能を提供しています。
+
+**5\. 継続的運用**: アプリケーションログとパフォーマンスを監視および分析し、運用データを使用してプロンプト、データセット、またはモデルを継続的に改善します。
 
 ## 開始する前に
 
+**私たちをスターして、GitHub上でのすべての新しいリリースに対する即時通知を受け取ります！**
+
+![私たちをスターして](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
 - [Website](https://dify.ai)
 - [Docs](https://docs.dify.ai)
 - [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
@@ -100,4 +127,4 @@ Difyに貢献していただき、コードの提出、問題の報告、新し
 
 ## ライセンス
 
-このリポジトリは、[Dify Open Source License](LICENSE) のもとで利用できます。
+ このリポジトリは、基本的にApache 2.0にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用できます。

README_KL.md

@@ -4,7 +4,8 @@
   <a href="./README_CN.md">简体中文</a> |
   <a href="./README_JA.md">日本語</a> |
   <a href="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</a>
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
@@ -51,12 +52,16 @@ Dify Daq rIn neutrality 'ej Hoch, LangChain tInHar HubwI'. maH Daqbe'law' Qawqar
 
 **3. RAG Engine**: RAG vaD tIqpu' lo'taH indexing qor neH vector database wa' embeddings wIj, PDFs, TXTs, 'ej ghojmoHmoH HIq qorlIj je upload.
 
-**4. jenSuvpu'**: jenbe' SuDqang naQ moDwu' jenSuvpu' porgh cha'logh choHvam. Dify Google Search Hur vItlhutlh plugin choH.
+**4. AI Agent**: Function Calling 'ej ReAct Daq Hurmey, Agent inference framework Hoch users customize tools, vaj 'oH QaQ. Dify Hoch loS ghaH 'ej wa'vatlh built-in tool calling capabilities, Google Search, DELL·E, Stable Diffusion, WolframAlpha, 'ej.
 
 **5. QaS muDHa'wI': cha'logh wa' pIq mI' logs 'ej quv yIn, vItlhutlh tIq 'e'wIj lo'taHmoHmoH Prompts, vItlhutlh, Hurmey ghaH production data jatlh.
 
 ## Do'wI' qabmey lo'taH
 
+**maHvaD jatlhchugh, GitHub Daq Hoch chu' ghompu'vam tIqel yInob!**
+
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
 - [Website](https://dify.ai)
 - [Docs](https://docs.dify.ai)
 - [lo'taHmoH Docs](https://docs.dify.ai/getting-started/install-self-hosted)

api/.env.example

@@ -15,7 +15,6 @@ CONSOLE_WEB_URL=http://127.0.0.1:3000
 SERVICE_API_URL=http://127.0.0.1:5001
 
 # Web APP base URL
-APP_API_URL=http://127.0.0.1:5001
 APP_WEB_URL=http://127.0.0.1:3000
 
 # Files URL
@@ -40,7 +39,7 @@ DB_DATABASE=dify
 
 # Storage configuration
 # use for store upload files, private keys...
-# storage type: local, s3
+# storage type: local, s3, azure-blob
 STORAGE_TYPE=local
 STORAGE_LOCAL_PATH=storage
 S3_ENDPOINT=https://your-bucket-name.storage.s3.clooudflare.com
@@ -48,6 +47,11 @@ S3_BUCKET_NAME=your-bucket-name
 S3_ACCESS_KEY=your-access-key
 S3_SECRET_KEY=your-secret-key
 S3_REGION=your-region
+# Azure Blob Storage configuration
+AZURE_BLOB_ACCOUNT_NAME=your-account-name
+AZURE_BLOB_ACCOUNT_KEY=your-account-key
+AZURE_BLOB_CONTAINER_NAME=yout-container-name
+AZURE_BLOB_ACCOUNT_URL=https://<your_account_name>.blob.core.windows.net
 
 # CORS configuration
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
@@ -65,6 +69,7 @@ WEAVIATE_BATCH_SIZE=100
 # Qdrant configuration, use `http://localhost:6333` for local mode or `https://your-qdrant-cluster-url.qdrant.io` for remote mode
 QDRANT_URL=http://localhost:6333
 QDRANT_API_KEY=difyai123456
+QDRANT_CLIENT_TIMEOUT=20
 
 # Milvus configuration
 MILVUS_HOST=127.0.0.1
@@ -81,10 +86,17 @@ UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
 # Model Configuration
 MULTIMODAL_SEND_IMAGE_FORMAT=base64
 
-# Mail configuration, support: resend
+# Mail configuration, support: resend, smtp
 MAIL_TYPE=
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
 RESEND_API_KEY=
+RESEND_API_URL=https://api.resend.com
+# smtp configuration
+SMTP_SERVER=smtp.gmail.com
+SMTP_PORT=587
+SMTP_USERNAME=123
+SMTP_PASSWORD=abc
+SMTP_USE_TLS=false
 
 # Sentry configuration
 SENTRY_DSN=
@@ -100,35 +112,28 @@ NOTION_CLIENT_ID=you-client-id
 NOTION_INTERNAL_SECRET=you-internal-secret
 
 # Hosted Model Credentials
-HOSTED_OPENAI_ENABLED=false
 HOSTED_OPENAI_API_KEY=
 HOSTED_OPENAI_API_BASE=
 HOSTED_OPENAI_API_ORGANIZATION=
+HOSTED_OPENAI_TRIAL_ENABLED=false
 HOSTED_OPENAI_QUOTA_LIMIT=200
 HOSTED_OPENAI_PAID_ENABLED=false
-HOSTED_OPENAI_PAID_STRIPE_PRICE_ID=
-HOSTED_OPENAI_PAID_INCREASE_QUOTA=1
 
 HOSTED_AZURE_OPENAI_ENABLED=false
 HOSTED_AZURE_OPENAI_API_KEY=
 HOSTED_AZURE_OPENAI_API_BASE=
 HOSTED_AZURE_OPENAI_QUOTA_LIMIT=200
 
-HOSTED_ANTHROPIC_ENABLED=false
 HOSTED_ANTHROPIC_API_BASE=
 HOSTED_ANTHROPIC_API_KEY=
+HOSTED_ANTHROPIC_TRIAL_ENABLED=false
 HOSTED_ANTHROPIC_QUOTA_LIMIT=600000
 HOSTED_ANTHROPIC_PAID_ENABLED=false
-HOSTED_ANTHROPIC_PAID_STRIPE_PRICE_ID=
-HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA=1000000
-HOSTED_ANTHROPIC_PAID_MIN_QUANTITY=20
-HOSTED_ANTHROPIC_PAID_MAX_QUANTITY=100
 
-# Stripe configuration
-STRIPE_API_KEY=
-STRIPE_WEBHOOK_SECRET=
+ETL_TYPE=dify
+UNSTRUCTURED_API_URL=
 
-# Billing configuration
-BILLING_API_URL=http://127.0.0.1:8000/v1
-BILLING_API_SECRET_KEY=
-STRIPE_WEBHOOK_BILLING_SECRET=
+SSRF_PROXY_HTTP_URL=
+SSRF_PROXY_HTTPS_URL=
+
+BATCH_UPLOAD_LIMIT=10

api/.vscode/launch.json

@@ -4,6 +4,21 @@
     // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
     "version": "0.2.0",
     "configurations": [
+        {
+            "name": "Python: Celery",
+            "type": "python",
+            "request": "launch",
+            "module": "celery",
+            "justMyCode": true,
+            "args": ["-A", "app.celery", "worker", "-P", "gevent", "-c", "1", "--loglevel", "info", "-Q", "dataset,generation,mail"],
+            "envFile": "${workspaceFolder}/.env",
+            "env": {
+                "FLASK_APP": "app.py",
+                "FLASK_DEBUG": "1",
+                "GEVENT_SUPPORT": "True"
+            },
+            "console": "integratedTerminal"
+        },
         {
             "name": "Python: Flask",
             "type": "python",

api/Dockerfile

@@ -1,17 +1,20 @@
-# packages install stage
-FROM python:3.10-slim AS base
+# base image
+FROM python:3.10-slim-bookworm AS base
 
 LABEL maintainer="takatost@gmail.com"
 
+# install packages
+FROM base as packages
+
 RUN apt-get update \
-    && apt-get install -y --no-install-recommends gcc g++ python3-dev libc-dev libffi-dev
+    && apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
 
 COPY requirements.txt /requirements.txt
 
 RUN pip install --prefix=/pkg -r requirements.txt
 
-# build stage
-FROM python:3.10-slim AS builder
+# production stage
+FROM base AS production
 
 ENV FLASK_APP app.py
 ENV EDITION SELF_HOSTED
@@ -19,24 +22,23 @@ ENV DEPLOY_ENV PRODUCTION
 ENV CONSOLE_API_URL http://127.0.0.1:5001
 ENV CONSOLE_WEB_URL http://127.0.0.1:3000
 ENV SERVICE_API_URL http://127.0.0.1:5001
-ENV APP_API_URL http://127.0.0.1:5001
 ENV APP_WEB_URL http://127.0.0.1:3000
 
 EXPOSE 5001
 
+# set timezone
+ENV TZ UTC
+
 WORKDIR /app/api
 
 RUN apt-get update \
-    && apt-get install -y --no-install-recommends bash curl wget vim nodejs \
+    && apt-get install -y --no-install-recommends curl wget vim nodejs ffmpeg libgmp-dev libmpfr-dev libmpc-dev \
     && apt-get autoremove \
     && rm -rf /var/lib/apt/lists/*
 
-COPY --from=base /pkg /usr/local
+COPY --from=packages /pkg /usr/local
 COPY . /app/api/
 
-RUN python -c "from transformers import GPT2TokenizerFast; GPT2TokenizerFast.from_pretrained('gpt2')"
-ENV TRANSFORMERS_OFFLINE true
-
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 

api/README.md

@@ -5,7 +5,7 @@
 1. Start the docker-compose stack
 
    The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
-   
+
    ```bash
    cd ../docker
    docker-compose -f docker-compose.middleware.yaml -p dify up -d
@@ -15,7 +15,7 @@
 3. Generate a `SECRET_KEY` in the `.env` file.
 
    ```bash
-   openssl rand -base64 42
+   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
 3.5 If you use annaconda, create a new environment and activate it
    ```bash
@@ -46,7 +46,7 @@
    ```
    pip install -r requirements.txt --upgrade --force-reinstall
    ```
-   
+
 6. Start backend:
    ```bash
    flask run --host 0.0.0.0 --port=5001 --debug

api/app.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 import os
 
 from werkzeug.exceptions import Unauthorized
@@ -6,35 +5,48 @@ from werkzeug.exceptions import Unauthorized
 if not os.environ.get("DEBUG") or os.environ.get("DEBUG").lower() != 'true':
     from gevent import monkey
     monkey.patch_all()
-    if os.environ.get("VECTOR_STORE") == 'milvus':
-        import grpc.experimental.gevent
-        grpc.experimental.gevent.init_gevent()
+    # if os.environ.get("VECTOR_STORE") == 'milvus':
+    import grpc.experimental.gevent
+    grpc.experimental.gevent.init_gevent()
+
+    import langchain
+    langchain.verbose = True
 
-import time
-import logging
 import json
+import logging
 import threading
+import time
+import warnings
 
-from flask import Flask, request, Response
+from flask import Flask, Response, request
 from flask_cors import CORS
 
-from core.model_providers.providers import hosted
-from extensions import ext_celery, ext_sentry, ext_redis, ext_login, ext_migrate, \
-    ext_database, ext_storage, ext_mail, ext_stripe, ext_code_based_extension
+from commands import register_commands
+from config import CloudEditionConfig, Config
+from extensions import (
+    ext_celery,
+    ext_code_based_extension,
+    ext_compress,
+    ext_database,
+    ext_hosting_provider,
+    ext_login,
+    ext_mail,
+    ext_migrate,
+    ext_redis,
+    ext_sentry,
+    ext_storage,
+)
 from extensions.ext_database import db
 from extensions.ext_login import login_manager
+from libs.passport import PassportService
+from services.account_service import AccountService
 
 # DO NOT REMOVE BELOW
-from models import model, account, dataset, web, task, source, tool
 from events import event_handlers
+from models import account, dataset, model, source, task, tool, tools, web
 # DO NOT REMOVE ABOVE
 
-from config import Config, CloudEditionConfig
-from commands import register_commands
-from services.account_service import AccountService
-from libs.passport import PassportService
 
-import warnings
 warnings.simplefilter("ignore", ResourceWarning)
 
 # fix windows platform
@@ -79,14 +91,13 @@ def create_app(test_config=None) -> Flask:
     register_blueprints(app)
     register_commands(app)
 
-    hosted.init_app(app)
-
     return app
 
 
 def initialize_extensions(app):
     # Since the application instance is now created, pass it to each Flask
     # extension instance to bind it to the Flask application instance (app)
+    ext_compress.init_app(app)
     ext_code_based_extension.init()
     ext_database.init_app(app)
     ext_migrate.init(app, db)
@@ -95,8 +106,8 @@ def initialize_extensions(app):
     ext_celery.init_app(app)
     ext_login.init_app(app)
     ext_mail.init_app(app)
+    ext_hosting_provider.init_app(app)
     ext_sentry.init_app(app)
-    ext_stripe.init_app(app)
 
 
 # Flask-Login configuration
@@ -106,13 +117,18 @@ def load_user_from_request(request_from_flask_login):
     if request.blueprint == 'console':
         # Check if the user_id contains a dot, indicating the old format
         auth_header = request.headers.get('Authorization', '')
-        if ' ' not in auth_header:
-            raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
-        auth_scheme, auth_token = auth_header.split(None, 1)
-        auth_scheme = auth_scheme.lower()
-        if auth_scheme != 'bearer':
-            raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
-        
+        if not auth_header:
+            auth_token = request.args.get('_token')
+            if not auth_token:
+                raise Unauthorized('Invalid Authorization token.')
+        else:
+            if ' ' not in auth_header:
+                raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
+            auth_scheme, auth_token = auth_header.split(None, 1)
+            auth_scheme = auth_scheme.lower()
+            if auth_scheme != 'bearer':
+                raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
+
         decoded = PassportService().verify(auth_token)
         user_id = decoded.get('user_id')
 
@@ -120,6 +136,7 @@ def load_user_from_request(request_from_flask_login):
     else:
         return None
 
+
 @login_manager.unauthorized_handler
 def unauthorized_handler():
     """Handle unauthorized requests."""
@@ -131,10 +148,10 @@ def unauthorized_handler():
 
 # register blueprint routers
 def register_blueprints(app):
-    from controllers.service_api import bp as service_api_bp
-    from controllers.web import bp as web_bp
     from controllers.console import bp as console_app_bp
     from controllers.files import bp as files_bp
+    from controllers.service_api import bp as service_api_bp
+    from controllers.web import bp as web_bp
 
     CORS(service_api_bp,
          allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],

api/commands.py

@@ -1,38 +1,22 @@
-import datetime
+import base64
 import json
-import math
-import random
-import string
-import threading
-import time
-import uuid
+import secrets
 
 import click
-import qdrant_client
-from qdrant_client.http.models import TextIndexParams, TextIndexType, TokenizerType
-from tqdm import tqdm
-from flask import current_app, Flask
-from langchain.embeddings import OpenAIEmbeddings
+from flask import current_app
 from werkzeug.exceptions import NotFound
 
-from core.embedding.cached_embedding import CacheEmbedding
-from core.index.index import IndexBuilder
-from core.model_providers.model_factory import ModelFactory
-from core.model_providers.models.embedding.openai_embedding import OpenAIEmbedding
-from core.model_providers.models.entity.model_params import ModelType
-from core.model_providers.providers.hosted import hosted_model_providers
-from core.model_providers.providers.openai_provider import OpenAIProvider
-from libs.password import password_pattern, valid_password, hash_password
-from libs.helper import email as email_validate
+from core.rag.datasource.vdb.vector_factory import Vector
+from core.rag.models.document import Document
 from extensions.ext_database import db
+from libs.helper import email as email_validate
+from libs.password import hash_password, password_pattern, valid_password
 from libs.rsa import generate_key_pair
-from models.account import InvitationCode, Tenant, TenantAccountJoin
-from models.dataset import Dataset, DatasetQuery, Document, DatasetCollectionBinding
-from models.model import Account, AppModelConfig, App
-import secrets
-import base64
-
-from models.provider import Provider, ProviderType, ProviderQuotaType, ProviderModel
+from models.account import Tenant
+from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
+from models.dataset import Document as DatasetDocument
+from models.model import Account, App, AppAnnotationSetting, MessageAnnotation
+from models.provider import Provider, ProviderModel
 
 
 @click.command('reset-password', help='Reset the account password.')
@@ -40,15 +24,22 @@ from models.provider import Provider, ProviderType, ProviderQuotaType, ProviderM
 @click.option('--new-password', prompt=True, help='the new password.')
 @click.option('--password-confirm', prompt=True, help='the new password confirm.')
 def reset_password(email, new_password, password_confirm):
+    """
+    Reset password of owner account
+    Only available in SELF_HOSTED mode
+    """
     if str(new_password).strip() != str(password_confirm).strip():
         click.echo(click.style('sorry. The two passwords do not match.', fg='red'))
         return
+
     account = db.session.query(Account). \
         filter(Account.email == email). \
         one_or_none()
+
     if not account:
         click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
         return
+
     try:
         valid_password(new_password)
     except:
@@ -74,15 +65,22 @@ def reset_password(email, new_password, password_confirm):
 @click.option('--new-email', prompt=True, help='the new email.')
 @click.option('--email-confirm', prompt=True, help='the new email confirm.')
 def reset_email(email, new_email, email_confirm):
+    """
+    Replace account email
+    :return:
+    """
     if str(new_email).strip() != str(email_confirm).strip():
         click.echo(click.style('Sorry, new email and confirm email do not match.', fg='red'))
         return
+
     account = db.session.query(Account). \
         filter(Account.email == email). \
         one_or_none()
+
     if not account:
         click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
         return
+
     try:
         email_validate(new_email)
     except:
@@ -102,667 +100,279 @@ def reset_email(email, new_email, email_confirm):
 @click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?'
                                               ' this operation cannot be rolled back!', fg='red'))
 def reset_encrypt_key_pair():
+    """
+    Reset the encrypted key pair of workspace for encrypt LLM credentials.
+    After the reset, all LLM credentials will become invalid, requiring re-entry.
+    Only support SELF_HOSTED mode.
+    """
     if current_app.config['EDITION'] != 'SELF_HOSTED':
         click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
         return
 
-    tenant = db.session.query(Tenant).first()
-    if not tenant:
-        click.echo(click.style('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
-        return
+    tenants = db.session.query(Tenant).all()
+    for tenant in tenants:
+        if not tenant:
+            click.echo(click.style('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
+            return
 
-    tenant.encrypt_public_key = generate_key_pair(tenant.id)
+        tenant.encrypt_public_key = generate_key_pair(tenant.id)
 
-    db.session.query(Provider).filter(Provider.provider_type == 'custom').delete()
-    db.session.query(ProviderModel).delete()
-    db.session.commit()
+        db.session.query(Provider).filter(Provider.provider_type == 'custom', Provider.tenant_id == tenant.id).delete()
+        db.session.query(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
+        db.session.commit()
 
-    click.echo(click.style('Congratulations! '
-                           'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
+        click.echo(click.style('Congratulations! '
+                               'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
 
 
-@click.command('generate-invitation-codes', help='Generate invitation codes.')
-@click.option('--batch', help='The batch of invitation codes.')
-@click.option('--count', prompt=True, help='Invitation codes count.')
-def generate_invitation_codes(batch, count):
-    if not batch:
-        now = datetime.datetime.now()
-        batch = now.strftime('%Y%m%d%H%M%S')
-
-    if not count or int(count) <= 0:
-        click.echo(click.style('sorry. the count must be greater than 0.', fg='red'))
-        return
-
-    count = int(count)
-
-    click.echo('Start generate {} invitation codes for batch {}.'.format(count, batch))
-
-    codes = ''
-    for i in range(count):
-        code = generate_invitation_code()
-        invitation_code = InvitationCode(
-            code=code,
-            batch=batch
-        )
-        db.session.add(invitation_code)
-        click.echo(code)
-
-        codes += code + "\n"
-    db.session.commit()
-
-    filename = 'storage/invitation-codes-{}.txt'.format(batch)
-
-    with open(filename, 'w') as f:
-        f.write(codes)
-
-    click.echo(click.style(
-        'Congratulations! Generated {} invitation codes for batch {} and saved to the file \'{}\''.format(count, batch,
-                                                                                                          filename),
-        fg='green'))
+@click.command('vdb-migrate', help='migrate vector db.')
+@click.option('--scope', default='all', prompt=False, help='The scope of vector database to migrate, Default is All.')
+def vdb_migrate(scope: str):
+    if scope in ['knowledge', 'all']:
+        migrate_knowledge_vector_database()
+    if scope in ['annotation', 'all']:
+        migrate_annotation_vector_database()
 
 
-def generate_invitation_code():
-    code = generate_upper_string()
-    while db.session.query(InvitationCode).filter(InvitationCode.code == code).count() > 0:
-        code = generate_upper_string()
-
-    return code
-
-
-def generate_upper_string():
-    letters_digits = string.ascii_uppercase + string.digits
-    result = ""
-    for i in range(8):
-        result += random.choice(letters_digits)
-
-    return result
-
-
-@click.command('recreate-all-dataset-indexes', help='Recreate all dataset indexes.')
-def recreate_all_dataset_indexes():
-    click.echo(click.style('Start recreate all dataset indexes.', fg='green'))
-    recreate_count = 0
-
-    page = 1
-    while True:
-        try:
-            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
-                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
-        except NotFound:
-            break
-
-        page += 1
-        for dataset in datasets:
-            try:
-                click.echo('Recreating dataset index: {}'.format(dataset.id))
-                index = IndexBuilder.get_index(dataset, 'high_quality')
-                if index and index._is_origin():
-                    index.recreate_dataset(dataset)
-                    recreate_count += 1
-                else:
-                    click.echo('passed.')
-            except Exception as e:
-                click.echo(
-                    click.style('Recreate dataset index error: {} {}'.format(e.__class__.__name__, str(e)), fg='red'))
-                continue
-
-    click.echo(click.style('Congratulations! Recreate {} dataset indexes.'.format(recreate_count), fg='green'))
-
-
-@click.command('clean-unused-dataset-indexes', help='Clean unused dataset indexes.')
-def clean_unused_dataset_indexes():
-    click.echo(click.style('Start clean unused dataset indexes.', fg='green'))
-    clean_days = int(current_app.config.get('CLEAN_DAY_SETTING'))
-    start_at = time.perf_counter()
-    thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days)
-    page = 1
-    while True:
-        try:
-            datasets = db.session.query(Dataset).filter(Dataset.created_at < thirty_days_ago) \
-                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
-        except NotFound:
-            break
-        page += 1
-        for dataset in datasets:
-            dataset_query = db.session.query(DatasetQuery).filter(
-                DatasetQuery.created_at > thirty_days_ago,
-                DatasetQuery.dataset_id == dataset.id
-            ).all()
-            if not dataset_query or len(dataset_query) == 0:
-                documents = db.session.query(Document).filter(
-                    Document.dataset_id == dataset.id,
-                    Document.indexing_status == 'completed',
-                    Document.enabled == True,
-                    Document.archived == False,
-                    Document.updated_at > thirty_days_ago
-                ).all()
-                if not documents or len(documents) == 0:
-                    try:
-                        # remove index
-                        vector_index = IndexBuilder.get_index(dataset, 'high_quality')
-                        kw_index = IndexBuilder.get_index(dataset, 'economy')
-                        # delete from vector index
-                        if vector_index:
-                            if dataset.collection_binding_id:
-                                vector_index.delete_by_group_id(dataset.id)
-                            else:
-                                if dataset.collection_binding_id:
-                                    vector_index.delete_by_group_id(dataset.id)
-                                else:
-                                    vector_index.delete()
-                        kw_index.delete()
-                        # update document
-                        update_params = {
-                            Document.enabled: False
-                        }
-
-                        Document.query.filter_by(dataset_id=dataset.id).update(update_params)
-                        db.session.commit()
-                        click.echo(click.style('Cleaned unused dataset {} from db success!'.format(dataset.id),
-                                               fg='green'))
-                    except Exception as e:
-                        click.echo(
-                            click.style('clean dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
-                                        fg='red'))
-    end_at = time.perf_counter()
-    click.echo(click.style('Cleaned unused dataset from db success latency: {}'.format(end_at - start_at), fg='green'))
-
-
-@click.command('sync-anthropic-hosted-providers', help='Sync anthropic hosted providers.')
-def sync_anthropic_hosted_providers():
-    if not hosted_model_providers.anthropic:
-        click.echo(click.style('Anthropic hosted provider is not configured.', fg='red'))
-        return
-
-    click.echo(click.style('Start sync anthropic hosted providers.', fg='green'))
-    count = 0
-
-    new_quota_limit = hosted_model_providers.anthropic.quota_limit
-
-    page = 1
-    while True:
-        try:
-            providers = db.session.query(Provider).filter(
-                Provider.provider_name == 'anthropic',
-                Provider.provider_type == ProviderType.SYSTEM.value,
-                Provider.quota_type == ProviderQuotaType.TRIAL.value,
-                Provider.quota_limit != new_quota_limit
-            ).order_by(Provider.created_at.desc()).paginate(page=page, per_page=100)
-        except NotFound:
-            break
-
-        page += 1
-        for provider in providers:
-            try:
-                click.echo('Syncing tenant anthropic hosted provider: {}, origin: limit {}, used {}'
-                           .format(provider.tenant_id, provider.quota_limit, provider.quota_used))
-                original_quota_limit = provider.quota_limit
-                division = math.ceil(new_quota_limit / 1000)
-
-                provider.quota_limit = new_quota_limit if original_quota_limit == 1000 \
-                    else original_quota_limit * division
-                provider.quota_used = division * provider.quota_used
-                db.session.commit()
-
-                count += 1
-            except Exception as e:
-                click.echo(click.style(
-                    'Sync tenant anthropic hosted provider error: {} {}'.format(e.__class__.__name__, str(e)),
-                    fg='red'))
-                continue
-
-    click.echo(click.style('Congratulations! Synced {} anthropic hosted providers.'.format(count), fg='green'))
-
-
-@click.command('create-qdrant-indexes', help='Create qdrant indexes.')
-def create_qdrant_indexes():
-    click.echo(click.style('Start create qdrant indexes.', fg='green'))
+def migrate_annotation_vector_database():
+    """
+    Migrate annotation datas to target vector database .
+    """
+    click.echo(click.style('Start migrate annotation data.', fg='green'))
     create_count = 0
-
+    skipped_count = 0
+    total_count = 0
     page = 1
     while True:
         try:
-            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
-                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
+            # get apps info
+            apps = db.session.query(App).filter(
+                App.status == 'normal'
+            ).order_by(App.created_at.desc()).paginate(page=page, per_page=50)
         except NotFound:
             break
 
         page += 1
-        for dataset in datasets:
-            if dataset.index_struct_dict:
-                if dataset.index_struct_dict['type'] != 'qdrant':
-                    try:
-                        click.echo('Create dataset qdrant index: {}'.format(dataset.id))
-                        try:
-                            embedding_model = ModelFactory.get_embedding_model(
-                                tenant_id=dataset.tenant_id,
-                                model_provider_name=dataset.embedding_model_provider,
-                                model_name=dataset.embedding_model
-                            )
-                        except Exception:
-                            try:
-                                embedding_model = ModelFactory.get_embedding_model(
-                                    tenant_id=dataset.tenant_id
-                                )
-                                dataset.embedding_model = embedding_model.name
-                                dataset.embedding_model_provider = embedding_model.model_provider.provider_name
-                            except Exception:
-                                provider = Provider(
-                                    id='provider_id',
-                                    tenant_id=dataset.tenant_id,
-                                    provider_name='openai',
-                                    provider_type=ProviderType.SYSTEM.value,
-                                    encrypted_config=json.dumps({'openai_api_key': 'TEST'}),
-                                    is_valid=True,
-                                )
-                                model_provider = OpenAIProvider(provider=provider)
-                                embedding_model = OpenAIEmbedding(name="text-embedding-ada-002",
-                                                                  model_provider=model_provider)
-                        embeddings = CacheEmbedding(embedding_model)
-
-                        from core.index.vector_index.qdrant_vector_index import QdrantVectorIndex, QdrantConfig
-
-                        index = QdrantVectorIndex(
-                            dataset=dataset,
-                            config=QdrantConfig(
-                                endpoint=current_app.config.get('QDRANT_URL'),
-                                api_key=current_app.config.get('QDRANT_API_KEY'),
-                                root_path=current_app.root_path
-                            ),
-                            embeddings=embeddings
-                        )
-                        if index:
-                            index.create_qdrant_dataset(dataset)
-                            index_struct = {
-                                "type": 'qdrant',
-                                "vector_store": {
-                                    "class_prefix": dataset.index_struct_dict['vector_store']['class_prefix']}
-                            }
-                            dataset.index_struct = json.dumps(index_struct)
-                            db.session.commit()
-                            create_count += 1
-                        else:
-                            click.echo('passed.')
-                    except Exception as e:
-                        click.echo(
-                            click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
-                                        fg='red'))
-                        continue
-
-    click.echo(click.style('Congratulations! Create {} dataset indexes.'.format(create_count), fg='green'))
-
-
-@click.command('update-qdrant-indexes', help='Update qdrant indexes.')
-def update_qdrant_indexes():
-    click.echo(click.style('Start Update qdrant indexes.', fg='green'))
-    create_count = 0
-
-    page = 1
-    while True:
-        try:
-            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
-                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
-        except NotFound:
-            break
-
-        page += 1
-        for dataset in datasets:
-            if dataset.index_struct_dict:
-                if dataset.index_struct_dict['type'] != 'qdrant':
-                    try:
-                        click.echo('Update dataset qdrant index: {}'.format(dataset.id))
-                        try:
-                            embedding_model = ModelFactory.get_embedding_model(
-                                tenant_id=dataset.tenant_id,
-                                model_provider_name=dataset.embedding_model_provider,
-                                model_name=dataset.embedding_model
-                            )
-                        except Exception:
-                            provider = Provider(
-                                id='provider_id',
-                                tenant_id=dataset.tenant_id,
-                                provider_name='openai',
-                                provider_type=ProviderType.CUSTOM.value,
-                                encrypted_config=json.dumps({'openai_api_key': 'TEST'}),
-                                is_valid=True,
-                            )
-                            model_provider = OpenAIProvider(provider=provider)
-                            embedding_model = OpenAIEmbedding(name="text-embedding-ada-002",
-                                                              model_provider=model_provider)
-                        embeddings = CacheEmbedding(embedding_model)
-
-                        from core.index.vector_index.qdrant_vector_index import QdrantVectorIndex, QdrantConfig
-
-                        index = QdrantVectorIndex(
-                            dataset=dataset,
-                            config=QdrantConfig(
-                                endpoint=current_app.config.get('QDRANT_URL'),
-                                api_key=current_app.config.get('QDRANT_API_KEY'),
-                                root_path=current_app.root_path
-                            ),
-                            embeddings=embeddings
-                        )
-                        if index:
-                            index.update_qdrant_dataset(dataset)
-                            create_count += 1
-                        else:
-                            click.echo('passed.')
-                    except Exception as e:
-                        click.echo(
-                            click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
-                                        fg='red'))
-                        continue
-
-    click.echo(click.style('Congratulations! Update {} dataset indexes.'.format(create_count), fg='green'))
-
-
-@click.command('normalization-collections', help='restore all collections in one')
-def normalization_collections():
-    click.echo(click.style('Start normalization collections.', fg='green'))
-    normalization_count = []
-    page = 1
-    while True:
-        try:
-            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
-                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=100)
-        except NotFound:
-            break
-        datasets_result = datasets.items
-        page += 1
-        for i in range(0, len(datasets_result), 5):
-            threads = []
-            sub_datasets = datasets_result[i:i + 5]
-            for dataset in sub_datasets:
-                document_format_thread = threading.Thread(target=deal_dataset_vector, kwargs={
-                    'flask_app': current_app._get_current_object(),
-                    'dataset': dataset,
-                    'normalization_count': normalization_count
-                })
-                threads.append(document_format_thread)
-                document_format_thread.start()
-            for thread in threads:
-                thread.join()
-
-    click.echo(click.style('Congratulations! restore {} dataset indexes.'.format(len(normalization_count)), fg='green'))
-
-
-@click.command('add-qdrant-full-text-index', help='add qdrant full text index')
-def add_qdrant_full_text_index():
-    click.echo(click.style('Start add full text index.', fg='green'))
-    binds = db.session.query(DatasetCollectionBinding).all()
-    if binds and current_app.config['VECTOR_STORE'] == 'qdrant':
-        qdrant_url = current_app.config['QDRANT_URL']
-        qdrant_api_key = current_app.config['QDRANT_API_KEY']
-        client = qdrant_client.QdrantClient(
-            qdrant_url,
-            api_key=qdrant_api_key,  # For Qdrant Cloud, None for local instance
-        )
-        for bind in binds:
+        for app in apps:
+            total_count = total_count + 1
+            click.echo(f'Processing the {total_count} app {app.id}. '
+                       + f'{create_count} created, {skipped_count} skipped.')
             try:
-                text_index_params = TextIndexParams(
-                    type=TextIndexType.TEXT,
-                    tokenizer=TokenizerType.MULTILINGUAL,
-                    min_token_len=2,
-                    max_token_len=20,
-                    lowercase=True
+                click.echo('Create app annotation index: {}'.format(app.id))
+                app_annotation_setting = db.session.query(AppAnnotationSetting).filter(
+                    AppAnnotationSetting.app_id == app.id
+                ).first()
+
+                if not app_annotation_setting:
+                    skipped_count = skipped_count + 1
+                    click.echo('App annotation setting is disabled: {}'.format(app.id))
+                    continue
+                # get dataset_collection_binding info
+                dataset_collection_binding = db.session.query(DatasetCollectionBinding).filter(
+                    DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id
+                ).first()
+                if not dataset_collection_binding:
+                    click.echo('App annotation collection binding is not exist: {}'.format(app.id))
+                    continue
+                annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app.id).all()
+                dataset = Dataset(
+                    id=app.id,
+                    tenant_id=app.tenant_id,
+                    indexing_technique='high_quality',
+                    embedding_model_provider=dataset_collection_binding.provider_name,
+                    embedding_model=dataset_collection_binding.model_name,
+                    collection_binding_id=dataset_collection_binding.id
                 )
-                client.create_payload_index(bind.collection_name, 'page_content',
-                                            field_schema=text_index_params)
+                documents = []
+                if annotations:
+                    for annotation in annotations:
+                        document = Document(
+                            page_content=annotation.question,
+                            metadata={
+                                "annotation_id": annotation.id,
+                                "app_id": app.id,
+                                "doc_id": annotation.id
+                            }
+                        )
+                        documents.append(document)
+
+                vector = Vector(dataset, attributes=['doc_id', 'annotation_id', 'app_id'])
+                click.echo(f"Start to migrate annotation, app_id: {app.id}.")
+
+                try:
+                    vector.delete()
+                    click.echo(
+                        click.style(f'Successfully delete vector index for app: {app.id}.',
+                                    fg='green'))
+                except Exception as e:
+                    click.echo(
+                        click.style(f'Failed to delete vector index for app {app.id}.',
+                                    fg='red'))
+                    raise e
+                if documents:
+                    try:
+                        click.echo(click.style(
+                            f'Start to created vector index with {len(documents)} annotations for app {app.id}.',
+                            fg='green'))
+                        vector.create(documents)
+                        click.echo(
+                            click.style(f'Successfully created vector index for app {app.id}.', fg='green'))
+                    except Exception as e:
+                        click.echo(click.style(f'Failed to created vector index for app {app.id}.', fg='red'))
+                        raise e
+                click.echo(f'Successfully migrated app annotation {app.id}.')
+                create_count += 1
             except Exception as e:
                 click.echo(
-                    click.style('Create full text index error: {} {}'.format(e.__class__.__name__, str(e)),
+                    click.style('Create app annotation index error: {} {}'.format(e.__class__.__name__, str(e)),
                                 fg='red'))
-            click.echo(
-                click.style(
-                    'Congratulations! add collection {} full text index successful.'.format(bind.collection_name),
+                continue
+
+    click.echo(
+        click.style(f'Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.',
                     fg='green'))
 
 
-def deal_dataset_vector(flask_app: Flask, dataset: Dataset, normalization_count: list):
-    with flask_app.app_context():
+def migrate_knowledge_vector_database():
+    """
+    Migrate vector database datas to target vector database .
+    """
+    click.echo(click.style('Start migrate vector db.', fg='green'))
+    create_count = 0
+    skipped_count = 0
+    total_count = 0
+    config = current_app.config
+    vector_type = config.get('VECTOR_STORE')
+    page = 1
+    while True:
         try:
-            click.echo('restore dataset index: {}'.format(dataset.id))
+            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
+                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
+        except NotFound:
+            break
+
+        page += 1
+        for dataset in datasets:
+            total_count = total_count + 1
+            click.echo(f'Processing the {total_count} dataset {dataset.id}. '
+                       + f'{create_count} created, {skipped_count} skipped.')
             try:
-                embedding_model = ModelFactory.get_embedding_model(
-                    tenant_id=dataset.tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
-                )
-            except Exception:
-                provider = Provider(
-                    id='provider_id',
-                    tenant_id=dataset.tenant_id,
-                    provider_name='openai',
-                    provider_type=ProviderType.CUSTOM.value,
-                    encrypted_config=json.dumps({'openai_api_key': 'TEST'}),
-                    is_valid=True,
-                )
-                model_provider = OpenAIProvider(provider=provider)
-                embedding_model = OpenAIEmbedding(name="text-embedding-ada-002",
-                                                  model_provider=model_provider)
-            embeddings = CacheEmbedding(embedding_model)
-            dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
-                filter(DatasetCollectionBinding.provider_name == embedding_model.model_provider.provider_name,
-                       DatasetCollectionBinding.model_name == embedding_model.name). \
-                order_by(DatasetCollectionBinding.created_at). \
-                first()
-
-            if not dataset_collection_binding:
-                dataset_collection_binding = DatasetCollectionBinding(
-                    provider_name=embedding_model.model_provider.provider_name,
-                    model_name=embedding_model.name,
-                    collection_name="Vector_index_" + str(uuid.uuid4()).replace("-", "_") + '_Node'
-                )
-                db.session.add(dataset_collection_binding)
-                db.session.commit()
-
-            from core.index.vector_index.qdrant_vector_index import QdrantVectorIndex, QdrantConfig
-
-            index = QdrantVectorIndex(
-                dataset=dataset,
-                config=QdrantConfig(
-                    endpoint=current_app.config.get('QDRANT_URL'),
-                    api_key=current_app.config.get('QDRANT_API_KEY'),
-                    root_path=current_app.root_path
-                ),
-                embeddings=embeddings
-            )
-            if index:
-                # index.delete_by_group_id(dataset.id)
-                index.restore_dataset_in_one(dataset, dataset_collection_binding)
-            else:
-                click.echo('passed.')
-            normalization_count.append(1)
-        except Exception as e:
-            click.echo(
-                click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
-                            fg='red'))
-
-
-@click.command('update_app_model_configs', help='Migrate data to support paragraph variable.')
-@click.option("--batch-size", default=500, help="Number of records to migrate in each batch.")
-def update_app_model_configs(batch_size):
-    pre_prompt_template = '{{default_input}}'
-    user_input_form_template = {
-        "en-US": [
-            {
-                "paragraph": {
-                    "label": "Query",
-                    "variable": "default_input",
-                    "required": False,
-                    "default": ""
-                }
-            }
-        ],
-        "zh-Hans": [
-            {
-                "paragraph": {
-                    "label": "查询内容",
-                    "variable": "default_input",
-                    "required": False,
-                    "default": ""
-                }
-            }
-        ]
-    }
-
-    click.secho("Start migrate old data that the text generator can support paragraph variable.", fg='green')
-
-    total_records = db.session.query(AppModelConfig) \
-        .join(App, App.app_model_config_id == AppModelConfig.id) \
-        .filter(App.mode == 'completion') \
-        .count()
-
-    if total_records == 0:
-        click.secho("No data to migrate.", fg='green')
-        return
-
-    num_batches = (total_records + batch_size - 1) // batch_size
-
-    with tqdm(total=total_records, desc="Migrating Data") as pbar:
-        for i in range(num_batches):
-            offset = i * batch_size
-            limit = min(batch_size, total_records - offset)
-
-            click.secho(f"Fetching batch {i + 1}/{num_batches} from source database...", fg='green')
-
-            data_batch = db.session.query(AppModelConfig) \
-                .join(App, App.app_model_config_id == AppModelConfig.id) \
-                .filter(App.mode == 'completion') \
-                .order_by(App.created_at) \
-                .offset(offset).limit(limit).all()
-
-            if not data_batch:
-                click.secho("No more data to migrate.", fg='green')
-                break
-
-            try:
-                click.secho(f"Migrating {len(data_batch)} records...", fg='green')
-                for data in data_batch:
-                    # click.secho(f"Migrating data {data.id}, pre_prompt: {data.pre_prompt}, user_input_form: {data.user_input_form}", fg='green')
-
-                    if data.pre_prompt is None:
-                        data.pre_prompt = pre_prompt_template
-                    else:
-                        if pre_prompt_template in data.pre_prompt:
-                            continue
-                        data.pre_prompt += pre_prompt_template
-
-                    app_data = db.session.query(App) \
-                        .filter(App.id == data.app_id) \
-                        .one()
-
-                    account_data = db.session.query(Account) \
-                        .join(TenantAccountJoin, Account.id == TenantAccountJoin.account_id) \
-                        .filter(TenantAccountJoin.role == 'owner') \
-                        .filter(TenantAccountJoin.tenant_id == app_data.tenant_id) \
-                        .one_or_none()
-
-                    if not account_data:
+                click.echo('Create dataset vdb index: {}'.format(dataset.id))
+                if dataset.index_struct_dict:
+                    if dataset.index_struct_dict['type'] == vector_type:
+                        skipped_count = skipped_count + 1
                         continue
-
-                    if data.user_input_form is None or data.user_input_form == 'null':
-                        data.user_input_form = json.dumps(user_input_form_template[account_data.interface_language])
+                collection_name = ''
+                if vector_type == "weaviate":
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'weaviate',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == "qdrant":
+                    if dataset.collection_binding_id:
+                        dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
+                            filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \
+                            one_or_none()
+                        if dataset_collection_binding:
+                            collection_name = dataset_collection_binding.collection_name
+                        else:
+                            raise ValueError('Dataset Collection Bindings is not exist!')
                     else:
-                        raw_json_data = json.loads(data.user_input_form)
-                        raw_json_data.append(user_input_form_template[account_data.interface_language][0])
-                        data.user_input_form = json.dumps(raw_json_data)
+                        dataset_id = dataset.id
+                        collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'qdrant',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
 
-                    # click.secho(f"Updated data {data.id}, pre_prompt: {data.pre_prompt}, user_input_form: {data.user_input_form}", fg='green')
+                elif vector_type == "milvus":
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'milvus',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                else:
+                    raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.")
 
+                vector = Vector(dataset)
+                click.echo(f"Start to migrate dataset {dataset.id}.")
+
+                try:
+                    vector.delete()
+                    click.echo(
+                        click.style(f'Successfully delete vector index {collection_name} for dataset {dataset.id}.',
+                                    fg='green'))
+                except Exception as e:
+                    click.echo(
+                        click.style(f'Failed to delete vector index {collection_name} for dataset {dataset.id}.',
+                                    fg='red'))
+                    raise e
+
+                dataset_documents = db.session.query(DatasetDocument).filter(
+                    DatasetDocument.dataset_id == dataset.id,
+                    DatasetDocument.indexing_status == 'completed',
+                    DatasetDocument.enabled == True,
+                    DatasetDocument.archived == False,
+                ).all()
+
+                documents = []
+                segments_count = 0
+                for dataset_document in dataset_documents:
+                    segments = db.session.query(DocumentSegment).filter(
+                        DocumentSegment.document_id == dataset_document.id,
+                        DocumentSegment.status == 'completed',
+                        DocumentSegment.enabled == True
+                    ).all()
+
+                    for segment in segments:
+                        document = Document(
+                            page_content=segment.content,
+                            metadata={
+                                "doc_id": segment.index_node_id,
+                                "doc_hash": segment.index_node_hash,
+                                "document_id": segment.document_id,
+                                "dataset_id": segment.dataset_id,
+                            }
+                        )
+
+                        documents.append(document)
+                        segments_count = segments_count + 1
+
+                if documents:
+                    try:
+                        click.echo(click.style(
+                            f'Start to created vector index with {len(documents)} documents of {segments_count} segments for dataset {dataset.id}.',
+                            fg='green'))
+                        vector.create(documents)
+                        click.echo(
+                            click.style(f'Successfully created vector index for dataset {dataset.id}.', fg='green'))
+                    except Exception as e:
+                        click.echo(click.style(f'Failed to created vector index for dataset {dataset.id}.', fg='red'))
+                        raise e
+                db.session.add(dataset)
                 db.session.commit()
-
+                click.echo(f'Successfully migrated dataset {dataset.id}.')
+                create_count += 1
             except Exception as e:
-                click.secho(f"Error while migrating data: {e}, app_id: {data.app_id}, app_model_config_id: {data.id}",
-                            fg='red')
+                db.session.rollback()
+                click.echo(
+                    click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
+                                fg='red'))
                 continue
 
-            click.secho(f"Successfully migrated batch {i + 1}/{num_batches}.", fg='green')
-
-            pbar.update(len(data_batch))
-
-
-@click.command('migrate_default_input_to_dataset_query_variable')
-@click.option("--batch-size", default=500, help="Number of records to migrate in each batch.")
-def migrate_default_input_to_dataset_query_variable(batch_size):
-    click.secho("Starting...", fg='green')
-
-    total_records = db.session.query(AppModelConfig) \
-        .join(App, App.app_model_config_id == AppModelConfig.id) \
-        .filter(App.mode == 'completion') \
-        .filter(AppModelConfig.dataset_query_variable == None) \
-        .count()
-
-    if total_records == 0:
-        click.secho("No data to migrate.", fg='green')
-        return
-
-    num_batches = (total_records + batch_size - 1) // batch_size
-
-    with tqdm(total=total_records, desc="Migrating Data") as pbar:
-        for i in range(num_batches):
-            offset = i * batch_size
-            limit = min(batch_size, total_records - offset)
-
-            click.secho(f"Fetching batch {i + 1}/{num_batches} from source database...", fg='green')
-
-            data_batch = db.session.query(AppModelConfig) \
-                .join(App, App.app_model_config_id == AppModelConfig.id) \
-                .filter(App.mode == 'completion') \
-                .filter(AppModelConfig.dataset_query_variable == None) \
-                .order_by(App.created_at) \
-                .offset(offset).limit(limit).all()
-
-            if not data_batch:
-                click.secho("No more data to migrate.", fg='green')
-                break
-
-            try:
-                click.secho(f"Migrating {len(data_batch)} records...", fg='green')
-                for data in data_batch:
-                    config = AppModelConfig.to_dict(data)
-
-                    tools = config["agent_mode"]["tools"]
-                    dataset_exists = "dataset" in str(tools)
-                    if not dataset_exists:
-                        continue
-
-                    user_input_form = config.get("user_input_form", [])
-                    for form in user_input_form:
-                        paragraph = form.get('paragraph')
-                        if paragraph \
-                                and paragraph.get('variable') == 'query':
-                            data.dataset_query_variable = 'query'
-                            break
-
-                        if paragraph \
-                                and paragraph.get('variable') == 'default_input':
-                            data.dataset_query_variable = 'default_input'
-                            break
-
-                db.session.commit()
-
-            except Exception as e:
-                click.secho(f"Error while migrating data: {e}, app_id: {data.app_id}, app_model_config_id: {data.id}",
-                            fg='red')
-                continue
-
-            click.secho(f"Successfully migrated batch {i + 1}/{num_batches}.", fg='green')
-
-            pbar.update(len(data_batch))
+    click.echo(
+        click.style(f'Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.',
+                    fg='green'))
 
 
 def register_commands(app):
     app.cli.add_command(reset_password)
     app.cli.add_command(reset_email)
-    app.cli.add_command(generate_invitation_codes)
     app.cli.add_command(reset_encrypt_key_pair)
-    app.cli.add_command(recreate_all_dataset_indexes)
-    app.cli.add_command(sync_anthropic_hosted_providers)
-    app.cli.add_command(clean_unused_dataset_indexes)
-    app.cli.add_command(create_qdrant_indexes)
-    app.cli.add_command(update_qdrant_indexes)
-    app.cli.add_command(update_app_model_configs)
-    app.cli.add_command(normalization_collections)
-    app.cli.add_command(migrate_default_input_to_dataset_query_variable)
-    app.cli.add_command(add_qdrant_full_text_index)
+    app.cli.add_command(vdb_migrate)

api/config.py

@@ -1,12 +1,7 @@
-# -*- coding:utf-8 -*-
 import os
-from datetime import timedelta
 
 import dotenv
 
-from extensions.ext_database import db
-from extensions.ext_redis import redis_client
-
 dotenv.load_dotenv()
 
 DEFAULTS = {
@@ -26,8 +21,8 @@ DEFAULTS = {
     'CONSOLE_API_URL': 'https://cloud.dify.ai',
     'SERVICE_API_URL': 'https://api.dify.ai',
     'APP_WEB_URL': 'https://udify.app',
-    'APP_API_URL': 'https://udify.app',
     'FILES_URL': '',
+    'S3_ADDRESS_STYLE': 'auto',
     'STORAGE_TYPE': 'local',
     'STORAGE_LOCAL_PATH': 'storage',
     'CHECK_UPDATE_URL': 'https://updates.dify.ai',
@@ -39,20 +34,19 @@ DEFAULTS = {
     'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
     'WEAVIATE_GRPC_ENABLED': 'True',
     'WEAVIATE_BATCH_SIZE': 100,
+    'QDRANT_CLIENT_TIMEOUT': 20,
     'CELERY_BACKEND': 'database',
     'LOG_LEVEL': 'INFO',
     'HOSTED_OPENAI_QUOTA_LIMIT': 200,
-    'HOSTED_OPENAI_ENABLED': 'False',
+    'HOSTED_OPENAI_TRIAL_ENABLED': 'False',
+    'HOSTED_OPENAI_TRIAL_MODELS': 'gpt-3.5-turbo,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-16k,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-0613,gpt-3.5-turbo-0125,text-davinci-003',
     'HOSTED_OPENAI_PAID_ENABLED': 'False',
-    'HOSTED_OPENAI_PAID_INCREASE_QUOTA': 1,
+    'HOSTED_OPENAI_PAID_MODELS': 'gpt-4,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-4-0125-preview,gpt-3.5-turbo,gpt-3.5-turbo-16k,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-1106,gpt-3.5-turbo-0613,gpt-3.5-turbo-0125,gpt-3.5-turbo-instruct,text-davinci-003',
     'HOSTED_AZURE_OPENAI_ENABLED': 'False',
     'HOSTED_AZURE_OPENAI_QUOTA_LIMIT': 200,
     'HOSTED_ANTHROPIC_QUOTA_LIMIT': 600000,
-    'HOSTED_ANTHROPIC_ENABLED': 'False',
+    'HOSTED_ANTHROPIC_TRIAL_ENABLED': 'False',
     'HOSTED_ANTHROPIC_PAID_ENABLED': 'False',
-    'HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA': 1000000,
-    'HOSTED_ANTHROPIC_PAID_MIN_QUANTITY': 20,
-    'HOSTED_ANTHROPIC_PAID_MAX_QUANTITY': 100,
     'HOSTED_MODERATION_ENABLED': 'False',
     'HOSTED_MODERATION_PROVIDERS': '',
     'CLEAN_DAY_SETTING': 30,
@@ -61,7 +55,13 @@ DEFAULTS = {
     'UPLOAD_IMAGE_FILE_SIZE_LIMIT': 10,
     'OUTPUT_MODERATION_BUFFER_SIZE': 300,
     'MULTIMODAL_SEND_IMAGE_FORMAT': 'base64',
-    'INVITE_EXPIRY_HOURS': 72
+    'INVITE_EXPIRY_HOURS': 72,
+    'BILLING_ENABLED': 'False',
+    'CAN_REPLACE_LOGO': 'False',
+    'ETL_TYPE': 'dify',
+    'KEYWORD_STORE': 'jieba',
+    'BATCH_UPLOAD_LIMIT': 20,
+    'TOOL_ICON_CACHE_MAX_AGE': 3600,
 }
 
 
@@ -70,7 +70,8 @@ def get_env(key):
 
 
 def get_bool_env(key):
-    return get_env(key).lower() == 'true'
+    value = get_env(key)
+    return value.lower() == 'true' if value is not None else False
 
 
 def get_cors_allow_origins(env, default):
@@ -91,7 +92,7 @@ class Config:
         # ------------------------
         # General Configurations.
         # ------------------------
-        self.CURRENT_VERSION = "0.3.33"
+        self.CURRENT_VERSION = "0.5.11"
         self.COMMIT_SHA = get_env('COMMIT_SHA')
         self.EDITION = "SELF_HOSTED"
         self.DEPLOY_ENV = get_env('DEPLOY_ENV')
@@ -100,35 +101,25 @@ class Config:
 
         # The backend URL prefix of the console API.
         # used to concatenate the login authorization callback or notion integration callback.
-        self.CONSOLE_API_URL = get_env('CONSOLE_URL') if get_env('CONSOLE_URL') else get_env('CONSOLE_API_URL')
+        self.CONSOLE_API_URL = get_env('CONSOLE_API_URL')
 
         # The front-end URL prefix of the console web.
         # used to concatenate some front-end addresses and for CORS configuration use.
-        self.CONSOLE_WEB_URL = get_env('CONSOLE_URL') if get_env('CONSOLE_URL') else get_env('CONSOLE_WEB_URL')
-
-        # WebApp API backend Url prefix.
-        # used to declare the back-end URL for the front-end API.
-        self.APP_API_URL = get_env('APP_URL') if get_env('APP_URL') else get_env('APP_API_URL')
+        self.CONSOLE_WEB_URL = get_env('CONSOLE_WEB_URL')
 
         # WebApp Url prefix.
         # used to display WebAPP API Base Url to the front-end.
-        self.APP_WEB_URL = get_env('APP_URL') if get_env('APP_URL') else get_env('APP_WEB_URL')
+        self.APP_WEB_URL = get_env('APP_WEB_URL')
 
         # Service API Url prefix.
         # used to display Service API Base Url to the front-end.
-        self.SERVICE_API_URL = get_env('API_URL') if get_env('API_URL') else get_env('SERVICE_API_URL')
+        self.SERVICE_API_URL = get_env('SERVICE_API_URL')
 
         # File preview or download Url prefix.
         # used to display File preview or download Url to the front-end or as Multi-model inputs;
         # Url is signed and has expiration time.
         self.FILES_URL = get_env('FILES_URL') if get_env('FILES_URL') else self.CONSOLE_API_URL
 
-        # Fallback Url prefix.
-        # Will be deprecated in the future.
-        self.CONSOLE_URL = get_env('CONSOLE_URL')
-        self.API_URL = get_env('API_URL')
-        self.APP_URL = get_env('APP_URL')
-
         # Your App secret key will be used for securely signing the session cookie
         # Make sure you are changing this key for your deployment with a strong key.
         # You can generate a strong key using `openssl rand -base64 42`.
@@ -191,16 +182,22 @@ class Config:
         self.S3_ACCESS_KEY = get_env('S3_ACCESS_KEY')
         self.S3_SECRET_KEY = get_env('S3_SECRET_KEY')
         self.S3_REGION = get_env('S3_REGION')
+        self.S3_ADDRESS_STYLE = get_env('S3_ADDRESS_STYLE')
+        self.AZURE_BLOB_ACCOUNT_NAME = get_env('AZURE_BLOB_ACCOUNT_NAME')
+        self.AZURE_BLOB_ACCOUNT_KEY = get_env('AZURE_BLOB_ACCOUNT_KEY')
+        self.AZURE_BLOB_CONTAINER_NAME = get_env('AZURE_BLOB_CONTAINER_NAME')
+        self.AZURE_BLOB_ACCOUNT_URL = get_env('AZURE_BLOB_ACCOUNT_URL')
 
         # ------------------------
         # Vector Store Configurations.
         # Currently, only support: qdrant, milvus, zilliz, weaviate
         # ------------------------
         self.VECTOR_STORE = get_env('VECTOR_STORE')
-
+        self.KEYWORD_STORE = get_env('KEYWORD_STORE')
         # qdrant settings
         self.QDRANT_URL = get_env('QDRANT_URL')
         self.QDRANT_API_KEY = get_env('QDRANT_API_KEY')
+        self.QDRANT_CLIENT_TIMEOUT = get_env('QDRANT_CLIENT_TIMEOUT')
 
         # milvus / zilliz setting
         self.MILVUS_HOST = get_env('MILVUS_HOST')
@@ -221,6 +218,13 @@ class Config:
         self.MAIL_TYPE = get_env('MAIL_TYPE')
         self.MAIL_DEFAULT_SEND_FROM = get_env('MAIL_DEFAULT_SEND_FROM')
         self.RESEND_API_KEY = get_env('RESEND_API_KEY')
+        self.RESEND_API_URL = get_env('RESEND_API_URL')
+        # SMTP settings
+        self.SMTP_SERVER = get_env('SMTP_SERVER')
+        self.SMTP_PORT = get_env('SMTP_PORT')
+        self.SMTP_USERNAME = get_env('SMTP_USERNAME')
+        self.SMTP_PASSWORD = get_env('SMTP_PASSWORD')
+        self.SMTP_USE_TLS = get_bool_env('SMTP_USE_TLS')
         
         # ------------------------
         # Workpace Configurations.
@@ -262,33 +266,43 @@ class Config:
         # ------------------------
         # Platform Configurations.
         # ------------------------
-        self.HOSTED_OPENAI_ENABLED = get_bool_env('HOSTED_OPENAI_ENABLED')
         self.HOSTED_OPENAI_API_KEY = get_env('HOSTED_OPENAI_API_KEY')
         self.HOSTED_OPENAI_API_BASE = get_env('HOSTED_OPENAI_API_BASE')
         self.HOSTED_OPENAI_API_ORGANIZATION = get_env('HOSTED_OPENAI_API_ORGANIZATION')
+        self.HOSTED_OPENAI_TRIAL_ENABLED = get_bool_env('HOSTED_OPENAI_TRIAL_ENABLED')
+        self.HOSTED_OPENAI_TRIAL_MODELS = get_env('HOSTED_OPENAI_TRIAL_MODELS')
         self.HOSTED_OPENAI_QUOTA_LIMIT = int(get_env('HOSTED_OPENAI_QUOTA_LIMIT'))
         self.HOSTED_OPENAI_PAID_ENABLED = get_bool_env('HOSTED_OPENAI_PAID_ENABLED')
-        self.HOSTED_OPENAI_PAID_STRIPE_PRICE_ID = get_env('HOSTED_OPENAI_PAID_STRIPE_PRICE_ID')
-        self.HOSTED_OPENAI_PAID_INCREASE_QUOTA = int(get_env('HOSTED_OPENAI_PAID_INCREASE_QUOTA'))
+        self.HOSTED_OPENAI_PAID_MODELS = get_env('HOSTED_OPENAI_PAID_MODELS')
 
         self.HOSTED_AZURE_OPENAI_ENABLED = get_bool_env('HOSTED_AZURE_OPENAI_ENABLED')
         self.HOSTED_AZURE_OPENAI_API_KEY = get_env('HOSTED_AZURE_OPENAI_API_KEY')
         self.HOSTED_AZURE_OPENAI_API_BASE = get_env('HOSTED_AZURE_OPENAI_API_BASE')
         self.HOSTED_AZURE_OPENAI_QUOTA_LIMIT = int(get_env('HOSTED_AZURE_OPENAI_QUOTA_LIMIT'))
 
-        self.HOSTED_ANTHROPIC_ENABLED = get_bool_env('HOSTED_ANTHROPIC_ENABLED')
         self.HOSTED_ANTHROPIC_API_BASE = get_env('HOSTED_ANTHROPIC_API_BASE')
         self.HOSTED_ANTHROPIC_API_KEY = get_env('HOSTED_ANTHROPIC_API_KEY')
+        self.HOSTED_ANTHROPIC_TRIAL_ENABLED = get_bool_env('HOSTED_ANTHROPIC_TRIAL_ENABLED')
         self.HOSTED_ANTHROPIC_QUOTA_LIMIT = int(get_env('HOSTED_ANTHROPIC_QUOTA_LIMIT'))
         self.HOSTED_ANTHROPIC_PAID_ENABLED = get_bool_env('HOSTED_ANTHROPIC_PAID_ENABLED')
-        self.HOSTED_ANTHROPIC_PAID_STRIPE_PRICE_ID = get_env('HOSTED_ANTHROPIC_PAID_STRIPE_PRICE_ID')
-        self.HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA = int(get_env('HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA'))
-        self.HOSTED_ANTHROPIC_PAID_MIN_QUANTITY = int(get_env('HOSTED_ANTHROPIC_PAID_MIN_QUANTITY'))
-        self.HOSTED_ANTHROPIC_PAID_MAX_QUANTITY = int(get_env('HOSTED_ANTHROPIC_PAID_MAX_QUANTITY'))
+
+        self.HOSTED_MINIMAX_ENABLED = get_bool_env('HOSTED_MINIMAX_ENABLED')
+        self.HOSTED_SPARK_ENABLED = get_bool_env('HOSTED_SPARK_ENABLED')
+        self.HOSTED_ZHIPUAI_ENABLED = get_bool_env('HOSTED_ZHIPUAI_ENABLED')
 
         self.HOSTED_MODERATION_ENABLED = get_bool_env('HOSTED_MODERATION_ENABLED')
         self.HOSTED_MODERATION_PROVIDERS = get_env('HOSTED_MODERATION_PROVIDERS')
 
+        self.ETL_TYPE = get_env('ETL_TYPE')
+        self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
+        self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
+        self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')
+
+        self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
+
+        self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
+        self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
+
 
 class CloudEditionConfig(Config):
 
@@ -302,6 +316,3 @@ class CloudEditionConfig(Config):
         self.GOOGLE_CLIENT_ID = get_env('GOOGLE_CLIENT_ID')
         self.GOOGLE_CLIENT_SECRET = get_env('GOOGLE_CLIENT_SECRET')
         self.OAUTH_REDIRECT_PATH = get_env('OAUTH_REDIRECT_PATH')
-
-        self.STRIPE_API_KEY = get_env('STRIPE_API_KEY')
-        self.STRIPE_WEBHOOK_SECRET = get_env('STRIPE_WEBHOOK_SECRET')

api/constants/languages.py

@@ -0,0 +1,602 @@
+import json
+
+from models.model import AppModelConfig
+
+languages = ['en-US', 'zh-Hans', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT', 'uk-UA', 'vi-VN']
+
+language_timezone_mapping = {
+    'en-US': 'America/New_York',
+    'zh-Hans': 'Asia/Shanghai',
+    'pt-BR': 'America/Sao_Paulo',
+    'es-ES': 'Europe/Madrid',
+    'fr-FR': 'Europe/Paris',
+    'de-DE': 'Europe/Berlin',
+    'ja-JP': 'Asia/Tokyo',
+    'ko-KR': 'Asia/Seoul',
+    'ru-RU': 'Europe/Moscow',
+    'it-IT': 'Europe/Rome',
+    'uk-UA': 'Europe/Kyiv',
+    'vi-VN': 'Asia/Ho_Chi_Minh',
+}
+
+
+def supported_language(lang):
+    if lang in languages:
+        return lang
+
+    error = ('{lang} is not a valid language.'
+             .format(lang=lang))
+    raise ValueError(error)
+
+
+user_input_form_template = {
+    "en-US": [
+        {
+            "paragraph": {
+                "label": "Query",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "zh-Hans": [
+        {
+            "paragraph": {
+                "label": "查询内容",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "pt-BR": [
+        {
+            "paragraph": {
+                "label": "Consulta",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "es-ES": [
+        {
+            "paragraph": {
+                "label": "Consulta",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "ua-UK": [
+        {
+            "paragraph": {
+                "label": "Запит",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+     "vi-VN": [
+        {
+            "paragraph": {
+                "label": "Nội dung truy vấn",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+}
+
+demo_model_templates = {
+    'en-US': [
+        {
+            'name': 'Translation Assistant',
+            'icon': '',
+            'icon_background': '',
+            'description': 'A multilingual translator that provides translation capabilities in multiple languages, translating user input into the language they need.',
+            'mode': 'completion',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo-instruct',
+                configs={
+                    'prompt_template': "Please translate the following text into {{target_language}}:\n",
+                    'prompt_variables': [
+                        {
+                            "key": "target_language",
+                            "name": "Target Language",
+                            "description": "The language you want to translate into.",
+                            "type": "select",
+                            "default": "Chinese",
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                            ]
+                        }
+                    ],
+                    'completion_params': {
+                        'max_token': 1000,
+                        'temperature': 0,
+                        'top_p': 0,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='',
+                suggested_questions=None,
+                pre_prompt="Please translate the following text into {{target_language}}:\n{{query}}\ntranslate:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "Target Language",
+                            "variable": "target_language",
+                            "description": "The language you want to translate into.",
+                            "default": "Chinese",
+                            "required": True,
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                            ]
+                        }
+                    }, {
+                        "paragraph": {
+                            "label": "Query",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            'name': 'AI Front-end Interviewer',
+            'icon': '',
+            'icon_background': '',
+            'description': 'A simulated front-end interviewer that tests the skill level of front-end development through questioning.',
+            'mode': 'chat',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo',
+                configs={
+                    'introduction': 'Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
+                    'prompt_template': "You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
+                    'prompt_variables': [],
+                    'completion_params': {
+                        'max_token': 300,
+                        'temperature': 0.8,
+                        'top_p': 0.9,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
+                suggested_questions=None,
+                pre_prompt="You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=None
+            )
+        }
+    ],
+    'zh-Hans': [
+        {
+            'name': '翻译助手',
+            'icon': '',
+            'icon_background': '',
+            'description': '一个多语言翻译器，提供多种语言翻译能力，将用户输入的文本翻译成他们需要的语言。',
+            'mode': 'completion',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo-instruct',
+                configs={
+                    'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
+                    'prompt_variables': [
+                        {
+                            "key": "target_language",
+                            "name": "目标语言",
+                            "description": "翻译的目标语言",
+                            "type": "select",
+                            "default": "中文",
+                            "options": [
+                                "中文",
+                                "英文",
+                                "日语",
+                                "法语",
+                                "俄语",
+                                "德语",
+                                "西班牙语",
+                                "韩语",
+                                "意大利语",
+                            ]
+                        }
+                    ],
+                    'completion_params': {
+                        'max_token': 1000,
+                        'temperature': 0,
+                        'top_p': 0,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='',
+                suggested_questions=None,
+                pre_prompt="请将以下文本翻译为{{target_language}}:\n{{query}}\n翻译:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "目标语言",
+                            "variable": "target_language",
+                            "description": "翻译的目标语言",
+                            "default": "中文",
+                            "required": True,
+                            'options': [
+                                "中文",
+                                "英文",
+                                "日语",
+                                "法语",
+                                "俄语",
+                                "德语",
+                                "西班牙语",
+                                "韩语",
+                                "意大利语",
+                            ]
+                        }
+                    }, {
+                        "paragraph": {
+                            "label": "文本内容",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            'name': 'AI 前端面试官',
+            'icon': '',
+            'icon_background': '',
+            'description': '一个模拟的前端面试官，通过提问的方式对前端开发的技能水平进行检验。',
+            'mode': 'chat',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo',
+                configs={
+                    'introduction': '你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
+                    'prompt_template': "你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
+                    'prompt_variables': [],
+                    'completion_params': {
+                        'max_token': 300,
+                        'temperature': 0.8,
+                        'top_p': 0.9,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
+                suggested_questions=None,
+                pre_prompt="你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=None
+            )
+        }
+    ],
+    'uk-UA': [
+        {
+            "name": "Помічник перекладу",
+            "icon": "",
+            "icon_background": "",
+            "description": "Багатомовний перекладач, який надає можливості перекладу різними мовами, перекладаючи введені користувачем дані на потрібну мову.",
+            "mode": "completion",
+            "model_config": AppModelConfig(
+                provider="openai",
+                model_id="gpt-3.5-turbo-instruct",
+                configs={
+                    "prompt_template": "Будь ласка, перекладіть наступний текст на {{target_language}}:\n",
+                    "prompt_variables": [
+                        {
+                            "key": "target_language",
+                            "name": "Цільова мова",
+                            "description": "Мова, на яку ви хочете перекласти.",
+                            "type": "select",
+                            "default": "Ukrainian",
+                            "options": [
+                                "Chinese",
+                                "English",
+                                "Japanese",
+                                "French",
+                                "Russian",
+                                "German",
+                                "Spanish",
+                                "Korean",
+                                "Italian",
+                            ],
+                        },
+                    ],
+                    "completion_params": {
+                        "max_token": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                },
+                opening_statement="",
+                suggested_questions=None,
+                pre_prompt="Будь ласка, перекладіть наступний текст на {{target_language}}:\n{{query}}\ntranslate:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "Цільова мова",
+                            "variable": "target_language",
+                            "description": "Мова, на яку ви хочете перекласти.",
+                            "default": "Chinese",
+                            "required": True,
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                            ]
+                        }
+                    }, {
+                        "paragraph": {
+                            "label": "Запит",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            "name": "AI інтерв’юер фронтенду",
+            "icon": "",
+            "icon_background": "",
+            "description": "Симульований інтерв’юер фронтенду, який перевіряє рівень кваліфікації у розробці фронтенду через опитування.",
+            "mode": "chat",
+            "model_config": AppModelConfig(
+                provider="openai",
+                model_id="gpt-3.5-turbo",
+                configs={
+                    "introduction": "Привіт, ласкаво просимо на наше співбесіду. Я інтерв'юер цієї технологічної компанії, і я перевірю ваші навички веб-розробки фронтенду. Далі я поставлю вам декілька технічних запитань. Будь ласка, відповідайте якомога ретельніше. ",
+                    "prompt_template": "Ви будете грати роль інтерв'юера технологічної компанії, перевіряючи навички розробки фронтенду користувача та ставлячи 5-10 чітких технічних питань.\n\nЗверніть увагу:\n- Ставте лише одне запитання за раз.\n- Після того, як користувач відповість на запитання, ставте наступне запитання безпосередньо, не намагаючись виправити будь-які помилки, допущені кандидатом.\n- Якщо ви вважаєте, що користувач не відповів правильно на кілька питань поспіль, задайте менше запитань.\n- Після того, як ви задали останнє запитання, ви можете поставити таке запитання: Чому ви залишили свою попередню роботу? Після того, як користувач відповість на це питання, висловіть своє розуміння та підтримку.\n",
+                    "prompt_variables": [],
+                    "completion_params": {
+                        "max_token": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                },
+                opening_statement="Привіт, ласкаво просимо на наше співбесіду. Я інтерв'юер цієї технологічної компанії, і я перевірю ваші навички веб-розробки фронтенду. Далі я поставлю вам декілька технічних запитань. Будь ласка, відповідайте якомога ретельніше. ",
+                suggested_questions=None,
+                pre_prompt="Ви будете грати роль інтерв'юера технологічної компанії, перевіряючи навички розробки фронтенду користувача та ставлячи 5-10 чітких технічних питань.\n\nЗверніть увагу:\n- Ставте лише одне запитання за раз.\n- Після того, як користувач відповість на запитання, ставте наступне запитання безпосередньо, не намагаючись виправити будь-які помилки, допущені кандидатом.\n- Якщо ви вважаєте, що користувач не відповів правильно на кілька питань поспіль, задайте менше запитань.\n- Після того, як ви задали останнє запитання, ви можете поставити таке запитання: Чому ви залишили свою попередню роботу? Після того, як користувач відповість на це питання, висловіть своє розуміння та підтримку.\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                }),
+                user_input_form=None
+            ),
+        }
+    ],
+    'vi-VN': [
+        {
+            'name': 'Trợ lý dịch thuật',
+            'icon': '',
+            'icon_background': '',
+            'description': 'Trình dịch đa ngôn ngữ cung cấp khả năng dịch bằng nhiều ngôn ngữ, dịch thông tin đầu vào của người dùng sang ngôn ngữ họ cần.',
+            'mode': 'completion',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo-instruct',
+                configs={
+                    'prompt_template': "Hãy dịch đoạn văn bản sau sang ngôn ngữ {{target_language}}:\n",
+                    'prompt_variables': [
+                        {
+                            "key": "target_language",
+                            "name": "Ngôn ngữ đích",
+                            "description": "Ngôn ngữ bạn muốn dịch sang.",
+                            "type": "select",
+                            "default": "Vietnamese",
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                                'Vietnamese',
+                            ]
+                        }
+                    ],
+                    'completion_params': {
+                        'max_token': 1000,
+                        'temperature': 0,
+                        'top_p': 0,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='',
+                suggested_questions=None,
+                pre_prompt="Hãy dịch đoạn văn bản sau sang {{target_language}}:\n{{query}}\ndịch:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "Ngôn ngữ đích",
+                            "variable": "target_language",
+                            "description": "Ngôn ngữ bạn muốn dịch sang.",
+                            "default": "Vietnamese",
+                            "required": True,
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                                'Vietnamese',
+                            ]
+                        }
+                    }, {
+                        "paragraph": {
+                            "label": "Query",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            'name': 'Phỏng vấn front-end AI',
+            'icon': '',
+            'icon_background': '',
+            'description': 'Một người phỏng vấn front-end mô phỏng để kiểm tra mức độ kỹ năng phát triển front-end thông qua việc đặt câu hỏi.',
+            'mode': 'chat',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo',
+                configs={
+                    'introduction': 'Xin chào, chào mừng đến với cuộc phỏng vấn của chúng tôi. Tôi là người phỏng vấn cho công ty công nghệ này và tôi sẽ kiểm tra kỹ năng phát triển web front-end của bạn. Tiếp theo, tôi sẽ hỏi bạn một số câu hỏi kỹ thuật. Hãy trả lời chúng càng kỹ lưỡng càng tốt. ',
+                    'prompt_template': "Bạn sẽ đóng vai người phỏng vấn cho một công ty công nghệ, kiểm tra kỹ năng phát triển web front-end của người dùng và đặt ra 5-10 câu hỏi kỹ thuật sắc bén.\n\nXin lưu ý:\n- Mỗi lần chỉ hỏi một câu hỏi.\n - Sau khi người dùng trả lời một câu hỏi, hãy hỏi trực tiếp câu hỏi tiếp theo mà không cố gắng sửa bất kỳ lỗi nào mà thí sinh mắc phải.\n- Nếu bạn cho rằng người dùng đã không trả lời đúng cho một số câu hỏi liên tiếp, hãy hỏi ít câu hỏi hơn.\n- Sau đặt câu hỏi cuối cùng, bạn có thể hỏi câu hỏi này: Tại sao bạn lại rời bỏ công việc cuối cùng của mình? Sau khi người dùng trả lời câu hỏi này, vui lòng bày tỏ sự hiểu biết và ủng hộ của bạn.\n",
+                    'prompt_variables': [],
+                    'completion_params': {
+                        'max_token': 300,
+                        'temperature': 0.8,
+                        'top_p': 0.9,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='Xin chào, chào mừng đến với cuộc phỏng vấn của chúng tôi. Tôi là người phỏng vấn cho công ty công nghệ này và tôi sẽ kiểm tra kỹ năng phát triển web front-end của bạn. Tiếp theo, tôi sẽ hỏi bạn một số câu hỏi kỹ thuật. Hãy trả lời chúng càng kỹ lưỡng càng tốt. ',
+                suggested_questions=None,
+                pre_prompt="Bạn sẽ đóng vai người phỏng vấn cho một công ty công nghệ, kiểm tra kỹ năng phát triển web front-end của người dùng và đặt ra 5-10 câu hỏi kỹ thuật sắc bén.\n\nXin lưu ý:\n- Mỗi lần chỉ hỏi một câu hỏi.\n - Sau khi người dùng trả lời một câu hỏi, hãy hỏi trực tiếp câu hỏi tiếp theo mà không cố gắng sửa bất kỳ lỗi nào mà thí sinh mắc phải.\n- Nếu bạn cho rằng người dùng đã không trả lời đúng cho một số câu hỏi liên tiếp, hãy hỏi ít câu hỏi hơn.\n- Sau đặt câu hỏi cuối cùng, bạn có thể hỏi câu hỏi này: Tại sao bạn lại rời bỏ công việc cuối cùng của mình? Sau khi người dùng trả lời câu hỏi này, vui lòng bày tỏ sự hiểu biết và ủng hộ của bạn.\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=None
+            )
+        }
+    ],
+}

api/constants/model_template.py

@@ -1,7 +1,5 @@
 import json
 
-from models.model import AppModelConfig, App
-
 model_templates = {
     # completion default mode
     'completion_default': {
@@ -15,30 +13,14 @@ model_templates = {
             'status': 'normal'
         },
         'model_config': {
-            'provider': 'openai',
-            'model_id': 'gpt-3.5-turbo-instruct',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
+            'provider': '',
+            'model_id': '',
+            'configs': {},
             'model': json.dumps({
                 "provider": "openai",
                 "name": "gpt-3.5-turbo-instruct",
                 "mode": "completion",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
+                "completion_params": {}
             }),
             'user_input_form': json.dumps([
                 {
@@ -66,288 +48,17 @@ model_templates = {
             'status': 'normal'
         },
         'model_config': {
-            'provider': 'openai',
-            'model_id': 'gpt-3.5-turbo',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
+            'provider': '',
+            'model_id': '',
+            'configs': {},
             'model': json.dumps({
                 "provider": "openai",
                 "name": "gpt-3.5-turbo",
                 "mode": "chat",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
+                "completion_params": {}
             })
         }
     },
 }
 
 
-demo_model_templates = {
-    'en-US': [
-        {
-            'name': 'Translation Assistant',
-            'icon': '',
-            'icon_background': '',
-            'description': 'A multilingual translator that provides translation capabilities in multiple languages, translating user input into the language they need.',
-            'mode': 'completion',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo-instruct',
-                configs={
-                    'prompt_template': "Please translate the following text into {{target_language}}:\n",
-                    'prompt_variables': [
-                        {
-                            "key": "target_language",
-                            "name": "Target Language",
-                            "description": "The language you want to translate into.",
-                            "type": "select",
-                            "default": "Chinese",
-                            'options': [
-                                'Chinese',
-                                'English',
-                                'Japanese',
-                                'French',
-                                'Russian',
-                                'German',
-                                'Spanish',
-                                'Korean',
-                                'Italian',
-                            ]
-                        }
-                    ],
-                    'completion_params': {
-                        'max_token': 1000,
-                        'temperature': 0,
-                        'top_p': 0,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='',
-                suggested_questions=None,
-                pre_prompt="Please translate the following text into {{target_language}}:\n{{query}}\ntranslate:",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo-instruct",
-                    "mode": "completion",
-                    "completion_params": {
-                        "max_tokens": 1000,
-                        "temperature": 0,
-                        "top_p": 0,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=json.dumps([
-                    {
-                        "select": {
-                            "label": "Target Language",
-                            "variable": "target_language",
-                            "description": "The language you want to translate into.",
-                            "default": "Chinese",
-                            "required": True,
-                            'options': [
-                                'Chinese',
-                                'English',
-                                'Japanese',
-                                'French',
-                                'Russian',
-                                'German',
-                                'Spanish',
-                                'Korean',
-                                'Italian',
-                            ]
-                        }
-                    },{
-                        "paragraph": {
-                            "label": "Query",
-                            "variable": "query",
-                            "required": True,
-                            "default": ""
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            'name': 'AI Front-end Interviewer',
-            'icon': '',
-            'icon_background': '',
-            'description': 'A simulated front-end interviewer that tests the skill level of front-end development through questioning.',
-            'mode': 'chat',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo',
-                configs={
-                    'introduction': 'Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
-                    'prompt_template': "You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
-                    'prompt_variables': [],
-                    'completion_params': {
-                        'max_token': 300,
-                        'temperature': 0.8,
-                        'top_p': 0.9,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
-                suggested_questions=None,
-                pre_prompt="You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo",
-                    "mode": "chat",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
-        }
-    ],
-
-    'zh-Hans': [
-        {
-            'name': '翻译助手',
-            'icon': '',
-            'icon_background': '',
-            'description': '一个多语言翻译器，提供多种语言翻译能力，将用户输入的文本翻译成他们需要的语言。',
-            'mode': 'completion',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo-instruct',
-                configs={
-                    'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
-                    'prompt_variables': [
-                        {
-                            "key": "target_language",
-                            "name": "目标语言",
-                            "description": "翻译的目标语言",
-                            "type": "select",
-                            "default": "中文",
-                            "options": [
-                                "中文",
-                                "英文",
-                                "日语",
-                                "法语",
-                                "俄语",
-                                "德语",
-                                "西班牙语",
-                                "韩语",
-                                "意大利语",
-                            ]
-                        }
-                    ],
-                    'completion_params': {
-                        'max_token': 1000,
-                        'temperature': 0,
-                        'top_p': 0,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='',
-                suggested_questions=None,
-                pre_prompt="请将以下文本翻译为{{target_language}}:\n{{query}}\n翻译:",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo-instruct",
-                    "mode": "completion",
-                    "completion_params": {
-                        "max_tokens": 1000,
-                        "temperature": 0,
-                        "top_p": 0,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=json.dumps([
-                    {
-                        "select": {
-                            "label": "目标语言",
-                            "variable": "target_language",
-                            "description": "翻译的目标语言",
-                            "default": "中文",
-                            "required": True,
-                            'options': [
-                                "中文",
-                                "英文",
-                                "日语",
-                                "法语",
-                                "俄语",
-                                "德语",
-                                "西班牙语",
-                                "韩语",
-                                "意大利语",
-                            ]
-                        }
-                    },{
-                        "paragraph": {
-                            "label": "文本内容",
-                            "variable": "query",
-                            "required": True,
-                            "default": ""
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            'name': 'AI 前端面试官',
-            'icon': '',
-            'icon_background': '',
-            'description': '一个模拟的前端面试官，通过提问的方式对前端开发的技能水平进行检验。',
-            'mode': 'chat',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo',
-                configs={
-                    'introduction': '你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
-                    'prompt_template': "你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
-                    'prompt_variables': [],
-                    'completion_params': {
-                        'max_token': 300,
-                        'temperature': 0.8,
-                        'top_p': 0.9,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
-                suggested_questions=None,
-                pre_prompt="你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo",
-                    "mode": "chat",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
-        }
-    ],
-}

api/controllers/console/__init__.py

@@ -1,32 +1,21 @@
 from flask import Blueprint
-
 from libs.external_api import ExternalApi
 
 bp = Blueprint('console', __name__, url_prefix='/console/api')
 api = ExternalApi(bp)
 
 # Import other controllers
-from . import extension, setup, version, apikey, admin
-
+from . import admin, apikey, extension, feature, setup, version
 # Import app controllers
-from .app import advanced_prompt_template, app, site, completion, model_config, statistic, conversation, message, generator, audio
-
+from .app import (advanced_prompt_template, annotation, app, audio, completion, conversation, generator, message,
+                  model_config, site, statistic)
 # Import auth controllers
-from .auth import login, oauth, data_source_oauth, activate
-
-# Import datasets controllers
-from .datasets import datasets, datasets_document, datasets_segments, file, hit_testing, data_source
-
-# Import workspace controllers
-from .workspace import workspace, members, providers, model_providers, account, tool_providers, models
-
-# Import explore controllers
-from .explore import installed_app, recommended_app, completion, conversation, message, parameter, saved_message, audio
-
-# Import universal chat controllers
-from .universal_chat import chat, conversation, message, parameter, audio
-
-# Import webhook controllers
-from .webhook import stripe
-
+from .auth import activate, data_source_oauth, login, oauth
+# Import billing controllers
 from .billing import billing
+# Import datasets controllers
+from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing
+# Import explore controllers
+from .explore import audio, completion, conversation, installed_app, message, parameter, recommended_app, saved_message
+# Import workspace controllers
+from .workspace import account, members, model_providers, models, tool_providers, workspace

api/controllers/console/admin.py

@@ -5,11 +5,11 @@ from flask import request
 from flask_restful import Resource, reqparse
 from werkzeug.exceptions import NotFound, Unauthorized
 
+from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.wraps import only_edition_cloud
 from extensions.ext_database import db
-from libs.helper import supported_language
-from models.model import RecommendedApp, App, InstalledApp
+from models.model import App, InstalledApp, RecommendedApp
 
 
 def admin_required(view):

api/controllers/console/apikey.py

@@ -1,17 +1,17 @@
-from flask_login import current_user
-from libs.login import login_required
 import flask_restful
+from flask_login import current_user
 from flask_restful import Resource, fields, marshal_with
 from werkzeug.exceptions import Forbidden
 
 from extensions.ext_database import db
-from models.model import App, ApiToken
+from libs.helper import TimestampField
+from libs.login import login_required
 from models.dataset import Dataset
+from models.model import ApiToken, App
 
 from . import api
 from .setup import setup_required
 from .wraps import account_initialization_required
-from libs.helper import TimestampField
 
 api_key_fields = {
     'id': fields.String,
@@ -62,9 +62,7 @@ class BaseApiKeyListResource(Resource):
         resource_id = str(resource_id)
         _get_resource(resource_id, current_user.current_tenant_id,
                       self.resource_model)
-
-        # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         current_key_count = db.session.query(ApiToken). \
@@ -103,7 +101,7 @@ class BaseApiKeyResource(Resource):
                       self.resource_model)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         key = db.session.query(ApiToken). \

api/controllers/console/app/__init__.py

@@ -1,9 +1,8 @@
-from flask_login import current_user
-from werkzeug.exceptions import NotFound
-
 from controllers.console.app.error import AppUnavailableError
 from extensions.ext_database import db
+from flask_login import current_user
 from models.model import App
+from werkzeug.exceptions import NotFound
 
 
 def _get_app(app_id, mode=None):

api/controllers/console/app/advanced_prompt_template.py

@@ -6,6 +6,7 @@ from controllers.console.wraps import account_initialization_required
 from libs.login import login_required
 from services.advanced_prompt_template_service import AdvancedPromptTemplateService
 
+
 class AdvancedPromptTemplateList(Resource):
     
     @setup_required

api/controllers/console/app/annotation.py

@@ -0,0 +1,292 @@
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden
+
+from controllers.console import api
+from controllers.console.app.error import NoFileUploadedError
+from controllers.console.datasets.error import TooManyFilesError
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from extensions.ext_redis import redis_client
+from fields.annotation_fields import (
+    annotation_fields,
+    annotation_hit_history_fields,
+)
+from libs.login import login_required
+from services.annotation_service import AppAnnotationService
+
+
+class AnnotationReplyActionApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def post(self, app_id, action):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('score_threshold', required=True, type=float, location='json')
+        parser.add_argument('embedding_provider_name', required=True, type=str, location='json')
+        parser.add_argument('embedding_model_name', required=True, type=str, location='json')
+        args = parser.parse_args()
+        if action == 'enable':
+            result = AppAnnotationService.enable_app_annotation(args, app_id)
+        elif action == 'disable':
+            result = AppAnnotationService.disable_app_annotation(app_id)
+        else:
+            raise ValueError('Unsupported annotation reply action')
+        return result, 200
+
+
+class AppAnnotationSettingDetailApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        result = AppAnnotationService.get_app_annotation_setting_by_app_id(app_id)
+        return result, 200
+
+
+class AppAnnotationSettingUpdateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, app_id, annotation_setting_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_setting_id = str(annotation_setting_id)
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('score_threshold', required=True, type=float, location='json')
+        args = parser.parse_args()
+
+        result = AppAnnotationService.update_app_annotation_setting(app_id, annotation_setting_id, args)
+        return result, 200
+
+
+class AnnotationReplyActionStatusApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def get(self, app_id, job_id, action):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        job_id = str(job_id)
+        app_annotation_job_key = '{}_app_annotation_job_{}'.format(action, str(job_id))
+        cache_result = redis_client.get(app_annotation_job_key)
+        if cache_result is None:
+            raise ValueError("The job is not exist.")
+
+        job_status = cache_result.decode()
+        error_msg = ''
+        if job_status == 'error':
+            app_annotation_error_key = '{}_app_annotation_error_{}'.format(action, str(job_id))
+            error_msg = redis_client.get(app_annotation_error_key).decode()
+
+        return {
+            'job_id': job_id,
+            'job_status': job_status,
+            'error_msg': error_msg
+        }, 200
+
+
+class AnnotationListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        page = request.args.get('page', default=1, type=int)
+        limit = request.args.get('limit', default=20, type=int)
+        keyword = request.args.get('keyword', default=None, type=str)
+
+        app_id = str(app_id)
+        annotation_list, total = AppAnnotationService.get_annotation_list_by_app_id(app_id, page, limit, keyword)
+        response = {
+            'data': marshal(annotation_list, annotation_fields),
+            'has_more': len(annotation_list) == limit,
+            'limit': limit,
+            'total': total,
+            'page': page
+        }
+        return response, 200
+
+
+class AnnotationExportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_list = AppAnnotationService.export_annotation_list_by_app_id(app_id)
+        response = {
+            'data': marshal(annotation_list, annotation_fields)
+        }
+        return response, 200
+
+
+class AnnotationCreateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    @marshal_with(annotation_fields)
+    def post(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('question', required=True, type=str, location='json')
+        parser.add_argument('answer', required=True, type=str, location='json')
+        args = parser.parse_args()
+        annotation = AppAnnotationService.insert_app_annotation_directly(args, app_id)
+        return annotation
+
+
+class AnnotationUpdateDeleteApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    @marshal_with(annotation_fields)
+    def post(self, app_id, annotation_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_id = str(annotation_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('question', required=True, type=str, location='json')
+        parser.add_argument('answer', required=True, type=str, location='json')
+        args = parser.parse_args()
+        annotation = AppAnnotationService.update_app_annotation_directly(args, app_id, annotation_id)
+        return annotation
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, app_id, annotation_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_id = str(annotation_id)
+        AppAnnotationService.delete_app_annotation(app_id, annotation_id)
+        return {'result': 'success'}, 200
+
+
+class AnnotationBatchImportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def post(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        # get file from request
+        file = request.files['file']
+        # check file
+        if 'file' not in request.files:
+            raise NoFileUploadedError()
+
+        if len(request.files) > 1:
+            raise TooManyFilesError()
+        # check file type
+        if not file.filename.endswith('.csv'):
+            raise ValueError("Invalid file type. Only CSV files are allowed")
+        return AppAnnotationService.batch_import_app_annotations(app_id, file)
+
+
+class AnnotationBatchImportStatusApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def get(self, app_id, job_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        job_id = str(job_id)
+        indexing_cache_key = 'app_annotation_batch_import_{}'.format(str(job_id))
+        cache_result = redis_client.get(indexing_cache_key)
+        if cache_result is None:
+            raise ValueError("The job is not exist.")
+        job_status = cache_result.decode()
+        error_msg = ''
+        if job_status == 'error':
+            indexing_error_msg_key = 'app_annotation_batch_import_error_msg_{}'.format(str(job_id))
+            error_msg = redis_client.get(indexing_error_msg_key).decode()
+
+        return {
+            'job_id': job_id,
+            'job_status': job_status,
+            'error_msg': error_msg
+        }, 200
+
+
+class AnnotationHitHistoryListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id, annotation_id):
+        # The role of the current user in the table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        page = request.args.get('page', default=1, type=int)
+        limit = request.args.get('limit', default=20, type=int)
+        app_id = str(app_id)
+        annotation_id = str(annotation_id)
+        annotation_hit_history_list, total = AppAnnotationService.get_annotation_hit_histories(app_id, annotation_id,
+                                                                                               page, limit)
+        response = {
+            'data': marshal(annotation_hit_history_list, annotation_hit_history_fields),
+            'has_more': len(annotation_hit_history_list) == limit,
+            'limit': limit,
+            'total': total,
+            'page': page
+        }
+        return response
+
+
+api.add_resource(AnnotationReplyActionApi, '/apps/<uuid:app_id>/annotation-reply/<string:action>')
+api.add_resource(AnnotationReplyActionStatusApi,
+                 '/apps/<uuid:app_id>/annotation-reply/<string:action>/status/<uuid:job_id>')
+api.add_resource(AnnotationListApi, '/apps/<uuid:app_id>/annotations')
+api.add_resource(AnnotationExportApi, '/apps/<uuid:app_id>/annotations/export')
+api.add_resource(AnnotationUpdateDeleteApi, '/apps/<uuid:app_id>/annotations/<uuid:annotation_id>')
+api.add_resource(AnnotationBatchImportApi, '/apps/<uuid:app_id>/annotations/batch-import')
+api.add_resource(AnnotationBatchImportStatusApi, '/apps/<uuid:app_id>/annotations/batch-import-status/<uuid:job_id>')
+api.add_resource(AnnotationHitHistoryListApi, '/apps/<uuid:app_id>/annotations/<uuid:annotation_id>/hit-histories')
+api.add_resource(AppAnnotationSettingDetailApi, '/apps/<uuid:app_id>/annotation-setting')
+api.add_resource(AppAnnotationSettingUpdateApi, '/apps/<uuid:app_id>/annotation-settings/<uuid:annotation_setting_id>')

api/controllers/console/app/app.py

@@ -1,28 +1,35 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
 from datetime import datetime
 
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with, abort, inputs
+from flask_restful import Resource, abort, inputs, marshal_with, reqparse
 from werkzeug.exceptions import Forbidden
 
-from constants.model_template import model_templates, demo_model_templates
+from constants.languages import demo_model_templates, languages
+from constants.model_template import model_templates
 from controllers.console import api
 from controllers.console.app.error import AppNotFoundError, ProviderNotInitializeError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
-from core.model_providers.error import ProviderTokenNotInitError, LLMBadRequestError
-from core.model_providers.model_factory import ModelFactory
-from core.model_providers.model_provider_factory import ModelProviderFactory
+from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
+from core.model_manager import ModelManager
+from core.model_runtime.entities.model_entities import ModelType
+from core.provider_manager import ProviderManager
 from events.app_event import app_was_created, app_was_deleted
-from fields.app_fields import app_pagination_fields, app_detail_fields, template_list_fields, \
-    app_detail_fields_with_site
 from extensions.ext_database import db
+from fields.app_fields import (
+    app_detail_fields,
+    app_detail_fields_with_site,
+    app_pagination_fields,
+    template_list_fields,
+)
+from libs.login import login_required
 from models.model import App, AppModelConfig, Site
 from services.app_model_config_service import AppModelConfigService
-
+from core.tools.utils.configuration import ToolParameterConfigurationManager
+from core.tools.tool_manager import ToolManager
+from core.entities.application_entities import AgentToolEntity
 
 def _get_app(app_id, tenant_id):
     app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id).first()
@@ -42,14 +49,31 @@ class AppListApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('page', type=inputs.int_range(1, 99999), required=False, default=1, location='args')
         parser.add_argument('limit', type=inputs.int_range(1, 100), required=False, default=20, location='args')
+        parser.add_argument('mode', type=str, choices=['chat', 'completion', 'all'], default='all', location='args', required=False)
+        parser.add_argument('name', type=str, location='args', required=False)
         args = parser.parse_args()
 
+        filters = [
+            App.tenant_id == current_user.current_tenant_id,
+            App.is_universal == False
+        ]
+
+        if args['mode'] == 'completion':
+            filters.append(App.mode == 'completion')
+        elif args['mode'] == 'chat':
+            filters.append(App.mode == 'chat')
+        else:
+            pass
+
+        if 'name' in args and args['name']:
+            filters.append(App.name.ilike(f'%{args["name"]}%'))
+
         app_models = db.paginate(
-            db.select(App).where(App.tenant_id == current_user.current_tenant_id,
-                                 App.is_universal == False).order_by(App.created_at.desc()),
+            db.select(App).where(*filters).order_by(App.created_at.desc()),
             page=args['page'],
             per_page=args['limit'],
-            error_out=False)
+            error_out=False
+        )
 
         return app_models
 
@@ -62,50 +86,59 @@ class AppListApi(Resource):
         """Create app"""
         parser = reqparse.RequestParser()
         parser.add_argument('name', type=str, required=True, location='json')
-        parser.add_argument('mode', type=str, choices=['completion', 'chat'], location='json')
+        parser.add_argument('mode', type=str, choices=['completion', 'chat', 'assistant'], location='json')
         parser.add_argument('icon', type=str, location='json')
         parser.add_argument('icon_background', type=str, location='json')
         parser.add_argument('model_config', type=dict, location='json')
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
-            default_model = ModelFactory.get_text_generation_model(
-                tenant_id=current_user.current_tenant_id
+            provider_manager = ProviderManager()
+            default_model_entity = provider_manager.get_default_model(
+                tenant_id=current_user.current_tenant_id,
+                model_type=ModelType.LLM
             )
         except (ProviderTokenNotInitError, LLMBadRequestError):
-            default_model = None
+            default_model_entity = None
         except Exception as e:
             logging.exception(e)
-            default_model = None
+            default_model_entity = None
 
         if args['model_config'] is not None:
             # validate config
             model_config_dict = args['model_config']
 
-            # get model provider
-            model_provider = ModelProviderFactory.get_preferred_model_provider(
-                current_user.current_tenant_id,
-                model_config_dict["model"]["provider"]
+            # Get provider configurations
+            provider_manager = ProviderManager()
+            provider_configurations = provider_manager.get_configurations(current_user.current_tenant_id)
+
+            # get available models from provider_configurations
+            available_models = provider_configurations.get_models(
+                model_type=ModelType.LLM,
+                only_active=True
             )
 
-            if not model_provider:
-                if not default_model:
+            # check if model is available
+            available_models_names = [f'{model.provider.provider}.{model.model}' for model in available_models]
+            provider_model = f"{model_config_dict['model']['provider']}.{model_config_dict['model']['name']}"
+            if provider_model not in available_models_names:
+                if not default_model_entity:
                     raise ProviderNotInitializeError(
-                        f"No Default System Reasoning Model available. Please configure "
-                        f"in the Settings -> Model Provider.")
+                        "No Default System Reasoning Model available. Please configure "
+                        "in the Settings -> Model Provider.")
                 else:
-                    model_config_dict["model"]["provider"] = default_model.model_provider.provider_name
-                    model_config_dict["model"]["name"] = default_model.name
+                    model_config_dict["model"]["provider"] = default_model_entity.provider.provider
+                    model_config_dict["model"]["name"] = default_model_entity.model
 
             model_configuration = AppModelConfigService.validate_configuration(
                 tenant_id=current_user.current_tenant_id,
                 account=current_user,
                 config=model_config_dict,
-                mode=args['mode']
+                app_mode=args['mode']
             )
 
             app = App(
@@ -129,21 +162,21 @@ class AppListApi(Resource):
             app_model_config = AppModelConfig(**model_config_template['model_config'])
 
             # get model provider
-            model_provider = ModelProviderFactory.get_preferred_model_provider(
-                current_user.current_tenant_id,
-                app_model_config.model_dict["provider"]
-            )
+            model_manager = ModelManager()
 
-            if not model_provider:
-                if not default_model:
-                    raise ProviderNotInitializeError(
-                        f"No Default System Reasoning Model available. Please configure "
-                        f"in the Settings -> Model Provider.")
-                else:
-                    model_dict = app_model_config.model_dict
-                    model_dict['provider'] = default_model.model_provider.provider_name
-                    model_dict['name'] = default_model.name
-                    app_model_config.model = json.dumps(model_dict)
+            try:
+                model_instance = model_manager.get_default_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    model_type=ModelType.LLM
+                )
+            except ProviderTokenNotInitError:
+                model_instance = None
+
+            if model_instance:
+                model_dict = app_model_config.model_dict
+                model_dict['provider'] = model_instance.provider
+                model_dict['name'] = model_instance.model
+                app_model_config.model = json.dumps(model_dict)
 
         app.name = args['name']
         app.mode = args['mode']
@@ -176,7 +209,7 @@ class AppListApi(Resource):
         app_was_created.send(app)
 
         return app, 201
-
+    
 
 class AppTemplateApi(Resource):
 
@@ -191,7 +224,7 @@ class AppTemplateApi(Resource):
 
         templates = demo_model_templates.get(interface_language)
         if not templates:
-            templates = demo_model_templates.get('en-US')
+            templates = demo_model_templates.get(languages[0])
 
         return {'data': templates}
 
@@ -205,7 +238,44 @@ class AppApi(Resource):
     def get(self, app_id):
         """Get app detail"""
         app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
+        app: App = _get_app(app_id, current_user.current_tenant_id)
+
+        # get original app model config
+        model_config: AppModelConfig = app.app_model_config
+        agent_mode = model_config.agent_mode_dict
+        # decrypt agent tool parameters if it's secret-input
+        for tool in agent_mode.get('tools') or []:
+            if not isinstance(tool, dict) or len(tool.keys()) <= 3:
+                continue
+            agent_tool_entity = AgentToolEntity(**tool)
+            # get tool
+            try:
+                tool_runtime = ToolManager.get_agent_tool_runtime(
+                    tenant_id=current_user.current_tenant_id,
+                    agent_tool=agent_tool_entity,
+                    agent_callback=None
+                )
+                manager = ToolParameterConfigurationManager(
+                    tenant_id=current_user.current_tenant_id,
+                    tool_runtime=tool_runtime,
+                    provider_name=agent_tool_entity.provider_id,
+                    provider_type=agent_tool_entity.provider_type,
+                )
+
+                # get decrypted parameters
+                if agent_tool_entity.tool_parameters:
+                    parameters = manager.decrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
+                    masked_parameter = manager.mask_tool_parameters(parameters or {})
+                else:
+                    masked_parameter = {}
+
+                # override tool parameters
+                tool['tool_parameters'] = masked_parameter
+            except Exception as e:
+                pass
+
+        # override agent mode
+        model_config.agent_mode = json.dumps(agent_mode)
 
         return app
 
@@ -216,7 +286,7 @@ class AppApi(Resource):
         """Delete app"""
         app_id = str(app_id)
 
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         app = _get_app(app_id, current_user.current_tenant_id)

api/controllers/console/app/audio.py

@@ -1,25 +1,35 @@
-# -*- coding:utf-8 -*-
 import logging
 
 from flask import request
-from libs.login import login_required
+from flask_restful import Resource, reqparse
 from werkzeug.exceptions import InternalServerError
 
 import services
 from controllers.console import api
 from controllers.console.app import _get_app
-from controllers.console.app.error import AppUnavailableError, \
-    ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError, NoAudioUploadedError, AudioTooLargeError, \
-    UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
+from controllers.console.app.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
-from flask_restful import Resource
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from libs.login import login_required
 from services.audio_service import AudioService
-from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
-    UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class ChatMessageAudioApi(Resource):
@@ -33,9 +43,10 @@ class ChatMessageAudioApi(Resource):
         file = request.files['file']
 
         try:
-            response = AudioService.transcript(
+            response = AudioService.transcript_asr(
                 tenant_id=app_model.tenant_id,
                 file=file,
+                end_user=None,
             )
 
             return response
@@ -56,14 +67,98 @@ class ChatMessageAudioApi(Resource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception("internal server error.")
+            logging.exception(f"internal server error, {str(e)}.")
             raise InternalServerError()
-        
 
-api.add_resource(ChatMessageAudioApi, '/apps/<uuid:app_id>/audio-to-text')
+
+class ChatMessageTextApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, app_id):
+        app_id = str(app_id)
+        app_model = _get_app(app_id, None)
+
+        try:
+            response = AudioService.transcript_tts(
+                tenant_id=app_model.tenant_id,
+                text=request.form['text'],
+                voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
+                streaming=False
+            )
+
+            return {'data': response.data.decode('latin1')}
+        except services.errors.app_model_config.AppModelConfigBrokenError:
+            logging.exception("App model config broken.")
+            raise AppUnavailableError()
+        except NoAudioUploadedServiceError:
+            raise NoAudioUploadedError()
+        except AudioTooLargeServiceError as e:
+            raise AudioTooLargeError(str(e))
+        except UnsupportedAudioTypeServiceError:
+            raise UnsupportedAudioTypeError()
+        except ProviderNotSupportSpeechToTextServiceError:
+            raise ProviderNotSupportSpeechToTextError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+        except QuotaExceededError:
+            raise ProviderQuotaExceededError()
+        except ModelCurrentlyNotSupportError:
+            raise ProviderModelCurrentlyNotSupportError()
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+        except ValueError as e:
+            raise e
+        except Exception as e:
+            logging.exception(f"internal server error, {str(e)}.")
+            raise InternalServerError()
+
+
+class TextModesApi(Resource):
+    def get(self, app_id: str):
+        app_model = _get_app(str(app_id))
+
+        try:
+            parser = reqparse.RequestParser()
+            parser.add_argument('language', type=str, required=True, location='args')
+            args = parser.parse_args()
+
+            response = AudioService.transcript_tts_voices(
+                tenant_id=app_model.tenant_id,
+                language=args['language'],
+            )
+
+            return response
+        except services.errors.audio.ProviderNotSupportTextToSpeechLanageServiceError:
+            raise AppUnavailableError("Text to audio voices language parameter loss.")
+        except NoAudioUploadedServiceError:
+            raise NoAudioUploadedError()
+        except AudioTooLargeServiceError as e:
+            raise AudioTooLargeError(str(e))
+        except UnsupportedAudioTypeServiceError:
+            raise UnsupportedAudioTypeError()
+        except ProviderNotSupportSpeechToTextServiceError:
+            raise ProviderNotSupportSpeechToTextError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+        except QuotaExceededError:
+            raise ProviderQuotaExceededError()
+        except ModelCurrentlyNotSupportError:
+            raise ProviderModelCurrentlyNotSupportError()
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+        except ValueError as e:
+            raise e
+        except Exception as e:
+            logging.exception(f"internal server error, {str(e)}.")
+            raise InternalServerError()
+
+
+api.add_resource(ChatMessageAudioApi, '/apps/<uuid:app_id>/audio-to-text')
+api.add_resource(ChatMessageTextApi, '/apps/<uuid:app_id>/text-to-audio')
+api.add_resource(TextModesApi, '/apps/<uuid:app_id>/text-to-audio/voices')

api/controllers/console/app/completion.py

@@ -1,27 +1,32 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
 
 import flask_login
 from flask import Response, stream_with_context
-from libs.login import login_required
+from flask_restful import Resource, reqparse
 from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.console import api
 from controllers.console.app import _get_app
-from controllers.console.app.error import ConversationCompletedError, AppUnavailableError, \
-    ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
+from controllers.console.app.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.conversation_message_task import PubHandler
-from core.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
+from core.application_queue_manager import ApplicationQueueManager
+from core.entities.application_entities import InvokeFrom
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
 from libs.helper import uuid_value
-from flask_restful import Resource, reqparse
-
+from libs.login import login_required
 from services.completion_service import CompletionService
 
 
@@ -56,7 +61,7 @@ class CompletionMessageApi(Resource):
                 app_model=app_model,
                 user=account,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.DEBUGGER,
                 streaming=streaming,
                 is_model_config_override=True
             )
@@ -75,9 +80,8 @@ class CompletionMessageApi(Resource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -97,7 +101,7 @@ class CompletionMessageStopApi(Resource):
 
         account = flask_login.current_user
 
-        PubHandler.stop(account, task_id)
+        ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
 
         return {'result': 'success'}, 200
 
@@ -132,7 +136,7 @@ class ChatMessageApi(Resource):
                 app_model=app_model,
                 user=account,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.DEBUGGER,
                 streaming=streaming,
                 is_model_config_override=True
             )
@@ -151,9 +155,8 @@ class ChatMessageApi(Resource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -166,30 +169,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except services.errors.conversation.ConversationNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Conversation Not Exists.")).get_json()) + "\n\n"
-            except services.errors.conversation.ConversationCompletedError:
-                yield "data: " + json.dumps(api.handle_error(ConversationCompletedError()).get_json()) + "\n\n"
-            except services.errors.app_model_config.AppModelConfigBrokenError:
-                logging.exception("App model config broken.")
-                yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')
@@ -207,7 +187,7 @@ class ChatMessageStopApi(Resource):
 
         account = flask_login.current_user
 
-        PubHandler.stop(account, task_id)
+        ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
 
         return {'result': 'success'}, 200
 

api/controllers/console/app/conversation.py

@@ -2,10 +2,9 @@ from datetime import datetime
 
 import pytz
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with
+from flask_restful import Resource, marshal_with, reqparse
 from flask_restful.inputs import int_range
-from sqlalchemy import or_, func
+from sqlalchemy import func, or_
 from sqlalchemy.orm import joinedload
 from werkzeug.exceptions import NotFound
 
@@ -13,11 +12,16 @@ from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from fields.conversation_fields import conversation_pagination_fields, conversation_detail_fields, \
-    conversation_message_detail_fields, conversation_with_summary_pagination_fields
-from libs.helper import datetime_string
 from extensions.ext_database import db
-from models.model import Message, MessageAnnotation, Conversation
+from fields.conversation_fields import (
+    conversation_detail_fields,
+    conversation_message_detail_fields,
+    conversation_pagination_fields,
+    conversation_with_summary_pagination_fields,
+)
+from libs.helper import datetime_string
+from libs.login import login_required
+from models.model import Conversation, Message, MessageAnnotation
 
 
 class CompletionConversationApi(Resource):

api/controllers/console/app/error.py

@@ -72,4 +72,16 @@ class UnsupportedAudioTypeError(BaseHTTPException):
 class ProviderNotSupportSpeechToTextError(BaseHTTPException):
     error_code = 'provider_not_support_speech_to_text'
     description = "Provider not support speech to text."
-    code = 400
+    code = 400
+
+
+class NoFileUploadedError(BaseHTTPException):
+    error_code = 'no_file_uploaded'
+    description = "Please upload your file."
+    code = 400
+
+
+class TooManyFilesError(BaseHTTPException):
+    error_code = 'too_many_files'
+    description = "Only one file is allowed."
+    code = 400

api/controllers/console/app/generator.py

@@ -1,15 +1,19 @@
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, reqparse
 
 from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
-    CompletionRequestError, ProviderModelCurrentlyNotSupportError
+from controllers.console.app.error import (
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.generator.llm_generator import LLMGenerator
-from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, LLMBadRequestError, LLMAPIConnectionError, \
-    LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError, ModelCurrentlyNotSupportError
+from core.model_runtime.errors.invoke import InvokeError
+from libs.login import login_required
 
 
 class RuleGenerateApi(Resource):
@@ -36,9 +40,8 @@ class RuleGenerateApi(Resource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
 
         return rules
 

api/controllers/console/app/message.py

@@ -1,27 +1,35 @@
 import json
 import logging
-from typing import Union, Generator
+from collections.abc import Generator
+from typing import Union
 
 from flask import Response, stream_with_context
 from flask_login import current_user
-from flask_restful import Resource, reqparse, marshal_with, fields
+from flask_restful import Resource, fields, marshal_with, reqparse
 from flask_restful.inputs import int_range
-from werkzeug.exceptions import InternalServerError, NotFound
+from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 from controllers.console import api
 from controllers.console.app import _get_app
-from controllers.console.app.error import CompletionRequestError, ProviderNotInitializeError, \
-    AppMoreLikeThisDisabledError, ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError
+from controllers.console.app.error import (
+    AppMoreLikeThisDisabledError,
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from core.model_providers.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
-from libs.login import login_required
-from fields.conversation_fields import message_detail_fields
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from core.entities.application_entities import InvokeFrom
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from extensions.ext_database import db
+from fields.conversation_fields import annotation_fields, message_detail_fields
 from libs.helper import uuid_value
 from libs.infinite_scroll_pagination import InfiniteScrollPagination
-from extensions.ext_database import db
-from models.model import MessageAnnotation, Conversation, Message, MessageFeedback
+from libs.login import login_required
+from models.model import Conversation, Message, MessageAnnotation, MessageFeedback
+from services.annotation_service import AppAnnotationService
 from services.completion_service import CompletionService
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
@@ -151,44 +159,24 @@ class MessageAnnotationApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    @marshal_with(annotation_fields)
     def post(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
         app_id = str(app_id)
 
-        # get app info
-        app = _get_app(app_id)
-
         parser = reqparse.RequestParser()
-        parser.add_argument('message_id', required=True, type=uuid_value, location='json')
-        parser.add_argument('content', type=str, location='json')
+        parser.add_argument('message_id', required=False, type=uuid_value, location='json')
+        parser.add_argument('question', required=True, type=str, location='json')
+        parser.add_argument('answer', required=True, type=str, location='json')
+        parser.add_argument('annotation_reply', required=False, type=dict, location='json')
         args = parser.parse_args()
+        annotation = AppAnnotationService.up_insert_app_annotation_from_message(args, app_id)
 
-        message_id = str(args['message_id'])
-
-        message = db.session.query(Message).filter(
-            Message.id == message_id,
-            Message.app_id == app.id
-        ).first()
-
-        if not message:
-            raise NotFound("Message Not Exists.")
-
-        annotation = message.annotation
-
-        if annotation:
-            annotation.content = args['content']
-        else:
-            annotation = MessageAnnotation(
-                app_id=app.id,
-                conversation_id=message.conversation_id,
-                message_id=message.id,
-                content=args['content'],
-                account_id=current_user.id
-            )
-            db.session.add(annotation)
-
-        db.session.commit()
-
-        return {'result': 'success'}
+        return annotation
 
 
 class MessageAnnotationCountApi(Resource):
@@ -227,7 +215,13 @@ class MessageMoreLikeThisApi(Resource):
         app_model = _get_app(app_id, 'completion')
 
         try:
-            response = CompletionService.generate_more_like_this(app_model, current_user, message_id, streaming)
+            response = CompletionService.generate_more_like_this(
+                app_model=app_model,
+                user=current_user,
+                message_id=message_id,
+                invoke_from=InvokeFrom.DEBUGGER,
+                streaming=streaming
+            )
             return compact_response(response)
         except MessageNotExistsError:
             raise NotFound("Message Not Exists.")
@@ -239,9 +233,8 @@ class MessageMoreLikeThisApi(Resource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -254,28 +247,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except MessageNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
-            except MoreLikeThisDisabledError:
-                yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(
-                    api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')
@@ -309,9 +281,8 @@ class MessageSuggestedQuestionApi(Resource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except Exception:
             logging.exception("internal server error.")
             raise InternalServerError()

api/controllers/console/app/model_config.py

@@ -1,16 +1,19 @@
-# -*- coding:utf-8 -*-
+import json
 
 from flask import request
-from flask_restful import Resource
 from flask_login import current_user
+from flask_restful import Resource
 
 from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from libs.login import login_required
+from core.entities.application_entities import AgentToolEntity
+from core.tools.tool_manager import ToolManager
+from core.tools.utils.configuration import ToolParameterConfigurationManager
 from events.app_event import app_model_config_was_updated
 from extensions.ext_database import db
+from libs.login import login_required
 from models.model import AppModelConfig
 from services.app_model_config_service import AppModelConfigService
 
@@ -24,29 +27,114 @@ class ModelConfigResource(Resource):
         """Modify app model config"""
         app_id = str(app_id)
 
-        app_model = _get_app(app_id)
+        app = _get_app(app_id)
 
         # validate config
         model_configuration = AppModelConfigService.validate_configuration(
             tenant_id=current_user.current_tenant_id,
             account=current_user,
             config=request.json,
-            mode=app_model.mode
+            app_mode=app.mode
         )
 
         new_app_model_config = AppModelConfig(
-            app_id=app_model.id,
+            app_id=app.id,
         )
         new_app_model_config = new_app_model_config.from_model_config_dict(model_configuration)
 
+        # get original app model config
+        original_app_model_config: AppModelConfig = db.session.query(AppModelConfig).filter(
+            AppModelConfig.id == app.app_model_config_id
+        ).first()
+        agent_mode = original_app_model_config.agent_mode_dict
+        # decrypt agent tool parameters if it's secret-input
+        parameter_map = {}
+        masked_parameter_map = {}
+        tool_map = {}
+        for tool in agent_mode.get('tools') or []:
+            if not isinstance(tool, dict) or len(tool.keys()) <= 3:
+                continue
+            
+            agent_tool_entity = AgentToolEntity(**tool)
+            # get tool
+            try:
+                tool_runtime = ToolManager.get_agent_tool_runtime(
+                    tenant_id=current_user.current_tenant_id,
+                    agent_tool=agent_tool_entity,
+                    agent_callback=None
+                )
+                manager = ToolParameterConfigurationManager(
+                    tenant_id=current_user.current_tenant_id,
+                    tool_runtime=tool_runtime,
+                    provider_name=agent_tool_entity.provider_id,
+                    provider_type=agent_tool_entity.provider_type,
+                )
+            except Exception as e:
+                continue
+
+            # get decrypted parameters
+            if agent_tool_entity.tool_parameters:
+                parameters = manager.decrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
+                masked_parameter = manager.mask_tool_parameters(parameters or {})
+            else:
+                parameters = {}
+                masked_parameter = {}
+
+            key = f'{agent_tool_entity.provider_id}.{agent_tool_entity.provider_type}.{agent_tool_entity.tool_name}'
+            masked_parameter_map[key] = masked_parameter
+            parameter_map[key] = parameters
+            tool_map[key] = tool_runtime
+
+        # encrypt agent tool parameters if it's secret-input
+        agent_mode = new_app_model_config.agent_mode_dict
+        for tool in agent_mode.get('tools') or []:
+            agent_tool_entity = AgentToolEntity(**tool)
+            
+            # get tool
+            key = f'{agent_tool_entity.provider_id}.{agent_tool_entity.provider_type}.{agent_tool_entity.tool_name}'
+            if key in tool_map:
+                tool_runtime = tool_map[key]
+            else:
+                try:
+                    tool_runtime = ToolManager.get_agent_tool_runtime(
+                        tenant_id=current_user.current_tenant_id,
+                        agent_tool=agent_tool_entity,
+                        agent_callback=None
+                    )
+                except Exception as e:
+                    continue
+            
+            manager = ToolParameterConfigurationManager(
+                tenant_id=current_user.current_tenant_id,
+                tool_runtime=tool_runtime,
+                provider_name=agent_tool_entity.provider_id,
+                provider_type=agent_tool_entity.provider_type,
+            )
+            manager.delete_tool_parameters_cache()
+
+            # override parameters if it equals to masked parameters
+            if agent_tool_entity.tool_parameters:
+                if key not in masked_parameter_map:
+                    continue
+
+                if agent_tool_entity.tool_parameters == masked_parameter_map[key]:
+                    agent_tool_entity.tool_parameters = parameter_map[key]
+
+            # encrypt parameters
+            if agent_tool_entity.tool_parameters:
+                tool['tool_parameters'] = manager.encrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
+
+        # update app model config
+        new_app_model_config.agent_mode = json.dumps(agent_mode)
+
         db.session.add(new_app_model_config)
         db.session.flush()
 
-        app_model.app_model_config_id = new_app_model_config.id
+        app.app_model_config_id = new_app_model_config.id
         db.session.commit()
 
         app_model_config_was_updated.send(
-            app_model,
+            app,
             app_model_config=new_app_model_config
         )
 

api/controllers/console/app/site.py

@@ -1,16 +1,15 @@
-# -*- coding:utf-8 -*-
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with
-from werkzeug.exceptions import NotFound, Forbidden
+from flask_restful import Resource, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
 
+from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from fields.app_fields import app_site_fields
-from libs.helper import supported_language
 from extensions.ext_database import db
+from fields.app_fields import app_site_fields
+from libs.login import login_required
 from models.model import Site
 
 
@@ -43,7 +42,7 @@ class AppSite(Resource):
         app_model = _get_app(app_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         site = db.session.query(Site). \
@@ -89,7 +88,7 @@ class AppSiteAccessTokenReset(Resource):
         app_model = _get_app(app_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         site = db.session.query(Site).filter(Site.app_id == app_model.id).first()

api/controllers/console/app/statistic.py

@@ -1,19 +1,18 @@
-# -*- coding:utf-8 -*-
-from decimal import Decimal
 from datetime import datetime
+from decimal import Decimal
 
 import pytz
 from flask import jsonify
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, reqparse
 
 from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from libs.helper import datetime_string
 from extensions.ext_database import db
+from libs.helper import datetime_string
+from libs.login import login_required
 
 
 class DailyConversationStatistic(Resource):

api/controllers/console/auth/activate.py

@@ -4,12 +4,13 @@ from datetime import datetime
 
 from flask_restful import Resource, reqparse
 
+from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.error import AlreadyActivateError
 from extensions.ext_database import db
-from libs.helper import email, str_len, supported_language, timezone
-from libs.password import valid_password, hash_password
-from models.account import AccountStatus, Tenant
+from libs.helper import email, str_len, timezone
+from libs.password import hash_password, valid_password
+from models.account import AccountStatus
 from services.account_service import RegisterService
 
 

api/controllers/console/auth/data_source_oauth.py

@@ -1,15 +1,15 @@
 import logging
 
 import requests
-from flask import request, redirect, current_app
+from flask import current_app, redirect, request
 from flask_login import current_user
-
 from flask_restful import Resource
 from werkzeug.exceptions import Forbidden
 
+from controllers.console import api
 from libs.login import login_required
 from libs.oauth_data_source import NotionOAuth
-from controllers.console import api
+
 from ..setup import setup_required
 from ..wraps import account_initialization_required
 
@@ -31,7 +31,7 @@ def get_oauth_providers():
 class OAuthDataSource(Resource):
     def get(self, provider: str):
         # The role of the current user in the table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
         OAUTH_DATASOURCE_PROVIDERS = get_oauth_providers()
         with current_app.app_context():

api/controllers/console/auth/login.py

@@ -1,7 +1,5 @@
-# -*- coding:utf-8 -*-
-import flask
 import flask_login
-from flask import request, current_app
+from flask import current_app, request
 from flask_restful import Resource, reqparse
 
 import services
@@ -31,10 +29,7 @@ class LoginApi(Resource):
         except services.errors.account.AccountLoginError:
             return {'code': 'unauthorized', 'message': 'Invalid email or password'}, 401
 
-        try:
-            TenantService.switch_tenant(account)
-        except Exception:
-            pass
+        TenantService.create_owner_tenant_if_not_exist(account)
 
         AccountService.update_last_login(account, request)
 
@@ -48,7 +43,6 @@ class LogoutApi(Resource):
 
     @setup_required
     def get(self):
-        flask.session.pop('workspace_id', None)
         flask_login.logout_user()
         return {'result': 'success'}
 

api/controllers/console/auth/oauth.py

@@ -3,13 +3,15 @@ from datetime import datetime
 from typing import Optional
 
 import requests
-from flask import request, redirect, current_app
+from flask import current_app, redirect, request
 from flask_restful import Resource
 
-from libs.oauth import OAuthUserInfo, GitHubOAuth, GoogleOAuth
+from constants.languages import languages
 from extensions.ext_database import db
+from libs.oauth import GitHubOAuth, GoogleOAuth, OAuthUserInfo
 from models.account import Account, AccountStatus
-from services.account_service import AccountService, RegisterService
+from services.account_service import AccountService, RegisterService, TenantService
+
 from .. import api
 
 
@@ -74,6 +76,8 @@ class OAuthCallback(Resource):
             account.initialized_at = datetime.utcnow()
             db.session.commit()
 
+        TenantService.create_owner_tenant_if_not_exist(account)
+
         AccountService.update_last_login(account, request)
 
         token = AccountService.get_account_jwt_token(account)
@@ -106,11 +110,11 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
         )
 
         # Set interface language
-        preferred_lang = request.accept_languages.best_match(['zh', 'en'])
-        if preferred_lang == 'zh':
-            interface_language = 'zh-Hans'
+        preferred_lang = request.accept_languages.best_match(languages)
+        if preferred_lang and preferred_lang in languages:
+            interface_language = preferred_lang
         else:
-            interface_language = 'en-US'
+            interface_language = languages[0]
         account.interface_language = interface_language
         db.session.commit()
 

api/controllers/console/billing/billing.py

@@ -1,32 +1,13 @@
-import stripe
-import os
-
-from flask_restful import Resource, reqparse
 from flask_login import current_user
-from flask import current_app, request
+from flask_restful import Resource, reqparse
 
 from controllers.console import api
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from controllers.console.wraps import only_edition_cloud
+from controllers.console.wraps import account_initialization_required, only_edition_cloud
 from libs.login import login_required
 from services.billing_service import BillingService
 
 
-class BillingInfo(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-
-        edition = current_app.config['EDITION']
-        if edition != 'CLOUD':
-            return {"enabled": False}
-
-        return BillingService.get_info(current_user.current_tenant_id)
-
-
 class Subscription(Resource):
 
     @setup_required
@@ -40,7 +21,12 @@ class Subscription(Resource):
         parser.add_argument('interval', type=str, required=True, location='args', choices=['month', 'year'])
         args = parser.parse_args()
 
-        return BillingService.get_subscription(args['plan'], args['interval'], current_user.email, current_user.name, current_user.current_tenant_id)
+        BillingService.is_tenant_owner_or_admin(current_user)
+
+        return BillingService.get_subscription(args['plan'],
+                                               args['interval'],
+                                               current_user.email,
+                                               current_user.current_tenant_id)
 
 
 class Invoices(Resource):
@@ -50,36 +36,9 @@ class Invoices(Resource):
     @account_initialization_required
     @only_edition_cloud
     def get(self):
-
-        return BillingService.get_invoices(current_user.email)
+        BillingService.is_tenant_owner_or_admin(current_user)
+        return BillingService.get_invoices(current_user.email, current_user.current_tenant_id)
 
 
-class StripeBillingWebhook(Resource):
-
-    @setup_required
-    @only_edition_cloud
-    def post(self):
-        payload = request.data
-        sig_header = request.headers.get('STRIPE_SIGNATURE')
-        webhook_secret = os.environ.get('STRIPE_WEBHOOK_BILLING_SECRET', 'STRIPE_WEBHOOK_BILLING_SECRET')
-
-        try:
-            event = stripe.Webhook.construct_event(
-                payload, sig_header, webhook_secret
-            )
-        except ValueError as e:
-            # Invalid payload
-            return 'Invalid payload', 400
-        except stripe.error.SignatureVerificationError as e:
-            # Invalid signature
-            return 'Invalid signature', 400
-
-        BillingService.process_event(event)
-
-        return 'success', 200
-
-
-api.add_resource(BillingInfo, '/billing/info')
 api.add_resource(Subscription, '/billing/subscription')
 api.add_resource(Invoices, '/billing/invoices')
-api.add_resource(StripeBillingWebhook, '/billing/webhook/stripe')

api/controllers/console/datasets/data_source.py

@@ -3,17 +3,18 @@ import json
 
 from flask import request
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, marshal_with, reqparse
 from werkzeug.exceptions import NotFound
 
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.data_loader.loader.notion import NotionLoader
 from core.indexing_runner import IndexingRunner
+from core.rag.extractor.entity.extract_setting import ExtractSetting
+from core.rag.extractor.notion_extractor import NotionExtractor
 from extensions.ext_database import db
-from fields.data_source_fields import integrate_notion_info_list_fields, integrate_list_fields
+from fields.data_source_fields import integrate_list_fields, integrate_notion_info_list_fields
+from libs.login import login_required
 from models.dataset import Document
 from models.source import DataSourceBinding
 from services.dataset_service import DatasetService, DocumentService
@@ -173,14 +174,15 @@ class DataSourceNotionApi(Resource):
         if not data_source_binding:
             raise NotFound('Data source binding not found.')
 
-        loader = NotionLoader(
-            notion_access_token=data_source_binding.access_token,
+        extractor = NotionExtractor(
             notion_workspace_id=workspace_id,
             notion_obj_id=page_id,
-            notion_page_type=page_type
+            notion_page_type=page_type,
+            notion_access_token=data_source_binding.access_token,
+            tenant_id=current_user.current_tenant_id
         )
 
-        text_docs = loader.load()
+        text_docs = extractor.extract()
         return {
             'content': "\n".join([doc.page_content for doc in text_docs])
         }, 200
@@ -192,11 +194,31 @@ class DataSourceNotionApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('notion_info_list', type=list, required=True, nullable=True, location='json')
         parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
+        parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
+        parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False, location='json')
         args = parser.parse_args()
         # validate args
         DocumentService.estimate_args_validate(args)
+        notion_info_list = args['notion_info_list']
+        extract_settings = []
+        for notion_info in notion_info_list:
+            workspace_id = notion_info['workspace_id']
+            for page in notion_info['pages']:
+                extract_setting = ExtractSetting(
+                    datasource_type="notion_import",
+                    notion_info={
+                        "notion_workspace_id": workspace_id,
+                        "notion_obj_id": page['page_id'],
+                        "notion_page_type": page['type'],
+                        "tenant_id": current_user.current_tenant_id
+                    },
+                    document_model=args['doc_form']
+                )
+                extract_settings.append(extract_setting)
         indexing_runner = IndexingRunner()
-        response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id, args['notion_info_list'], args['process_rule'])
+        response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                     args['process_rule'], args['doc_form'],
+                                                     args['doc_language'])
         return response, 200
 
 

api/controllers/console/datasets/datasets.py

@@ -1,29 +1,29 @@
-# -*- coding:utf-8 -*-
 import flask_restful
-from flask import request, current_app
+from flask import current_app, request
 from flask_login import current_user
+from flask_restful import Resource, marshal, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
 
-from controllers.console.apikey import api_key_list, api_key_fields
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal, marshal_with
-from werkzeug.exceptions import NotFound, Forbidden
 import services
 from controllers.console import api
+from controllers.console.apikey import api_key_fields, api_key_list
 from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import DatasetNameDuplicateError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
+from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
-from core.model_providers.error import LLMBadRequestError, ProviderTokenNotInitError
-from core.model_providers.models.entity.model_params import ModelType
+from core.model_runtime.entities.model_entities import ModelType
+from core.provider_manager import ProviderManager
+from core.rag.extractor.entity.extract_setting import ExtractSetting
+from extensions.ext_database import db
 from fields.app_fields import related_app_list
 from fields.dataset_fields import dataset_detail_fields, dataset_query_detail_fields
 from fields.document_fields import document_status_fields
-from extensions.ext_database import db
-from models.dataset import DocumentSegment, Document
-from models.model import UploadFile, ApiToken
+from libs.login import login_required
+from models.dataset import Dataset, Document, DocumentSegment
+from models.model import ApiToken, UploadFile
 from services.dataset_service import DatasetService, DocumentService
-from services.provider_service import ProviderService
 
 
 def _validate_name(name):
@@ -55,16 +55,20 @@ class DatasetListApi(Resource):
                                                           current_user.current_tenant_id, current_user)
 
         # check embedding setting
-        provider_service = ProviderService()
-        valid_model_list = provider_service.get_valid_model_list(current_user.current_tenant_id,
-                                                                 ModelType.EMBEDDINGS.value)
-        # if len(valid_model_list) == 0:
-        #     raise ProviderNotInitializeError(
-        #         f"No Embedding Model available. Please configure a valid provider "
-        #         f"in the Settings -> Model Provider.")
+        provider_manager = ProviderManager()
+        configurations = provider_manager.get_configurations(
+            tenant_id=current_user.current_tenant_id
+        )
+
+        embedding_models = configurations.get_models(
+            model_type=ModelType.TEXT_EMBEDDING,
+            only_active=True
+        )
+
         model_names = []
-        for valid_model in valid_model_list:
-            model_names.append(f"{valid_model['model_name']}:{valid_model['model_provider']['provider_name']}")
+        for embedding_model in embedding_models:
+            model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
+
         data = marshal(datasets, dataset_detail_fields)
         for item in data:
             if item['indexing_technique'] == 'high_quality':
@@ -75,6 +79,7 @@ class DatasetListApi(Resource):
                     item['embedding_available'] = False
             else:
                 item['embedding_available'] = True
+
         response = {
             'data': data,
             'has_more': len(datasets) == limit,
@@ -93,12 +98,13 @@ class DatasetListApi(Resource):
                             help='type is required. Name must be between 1 to 40 characters.',
                             type=_validate_name)
         parser.add_argument('indexing_technique', type=str, location='json',
-                            choices=('high_quality', 'economy'),
+                            choices=Dataset.INDEXING_TECHNIQUE_LIST,
+                            nullable=True,
                             help='Invalid indexing technique.')
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
@@ -130,13 +136,20 @@ class DatasetApi(Resource):
             raise Forbidden(str(e))
         data = marshal(dataset, dataset_detail_fields)
         # check embedding setting
-        provider_service = ProviderService()
-        # get valid model list
-        valid_model_list = provider_service.get_valid_model_list(current_user.current_tenant_id,
-                                                                 ModelType.EMBEDDINGS.value)
+        provider_manager = ProviderManager()
+        configurations = provider_manager.get_configurations(
+            tenant_id=current_user.current_tenant_id
+        )
+
+        embedding_models = configurations.get_models(
+            model_type=ModelType.TEXT_EMBEDDING,
+            only_active=True
+        )
+
         model_names = []
-        for valid_model in valid_model_list:
-            model_names.append(f"{valid_model['model_name']}:{valid_model['model_provider']['provider_name']}")
+        for embedding_model in embedding_models:
+            model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
+
         if data['indexing_technique'] == 'high_quality':
             item_model = f"{data['embedding_model']}:{data['embedding_model_provider']}"
             if item_model in model_names:
@@ -166,7 +179,8 @@ class DatasetApi(Resource):
                             location='json', store_missing=False,
                             type=_validate_description_length)
         parser.add_argument('indexing_technique', type=str, location='json',
-                            choices=('high_quality', 'economy'),
+                            choices=Dataset.INDEXING_TECHNIQUE_LIST,
+                            nullable=True,
                             help='Invalid indexing technique.')
         parser.add_argument('permission', type=str, location='json', choices=(
             'only_me', 'all_team_members'), help='Invalid permission.')
@@ -174,7 +188,7 @@ class DatasetApi(Resource):
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         dataset = DatasetService.update_dataset(
@@ -192,7 +206,7 @@ class DatasetApi(Resource):
         dataset_id_str = str(dataset_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         if DatasetService.delete_dataset(dataset_id_str, current_user):
@@ -245,7 +259,9 @@ class DatasetIndexingEstimateApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('info_list', type=dict, required=True, nullable=True, location='json')
         parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
-        parser.add_argument('indexing_technique', type=str, required=True, nullable=True, location='json')
+        parser.add_argument('indexing_technique', type=str, required=True,
+                            choices=Dataset.INDEXING_TECHNIQUE_LIST,
+                            nullable=True, location='json')
         parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
         parser.add_argument('dataset_id', type=str, required=False, nullable=False, location='json')
         parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False,
@@ -253,6 +269,7 @@ class DatasetIndexingEstimateApi(Resource):
         args = parser.parse_args()
         # validate args
         DocumentService.estimate_args_validate(args)
+        extract_settings = []
         if args['info_list']['data_source_type'] == 'upload_file':
             file_ids = args['info_list']['file_info_list']['file_ids']
             file_details = db.session.query(UploadFile).filter(
@@ -263,37 +280,45 @@ class DatasetIndexingEstimateApi(Resource):
             if file_details is None:
                 raise NotFound("File not found.")
 
-            indexing_runner = IndexingRunner()
-
-            try:
-                response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, file_details,
-                                                                  args['process_rule'], args['doc_form'],
-                                                                  args['doc_language'], args['dataset_id'],
-                                                                  args['indexing_technique'])
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
+            if file_details:
+                for file_detail in file_details:
+                    extract_setting = ExtractSetting(
+                        datasource_type="upload_file",
+                        upload_file=file_detail,
+                        document_model=args['doc_form']
+                    )
+                    extract_settings.append(extract_setting)
         elif args['info_list']['data_source_type'] == 'notion_import':
-
-            indexing_runner = IndexingRunner()
-
-            try:
-                response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id,
-                                                                    args['info_list']['notion_info_list'],
-                                                                    args['process_rule'], args['doc_form'],
-                                                                    args['doc_language'], args['dataset_id'],
-                                                                    args['indexing_technique'])
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
+            notion_info_list = args['info_list']['notion_info_list']
+            for notion_info in notion_info_list:
+                workspace_id = notion_info['workspace_id']
+                for page in notion_info['pages']:
+                    extract_setting = ExtractSetting(
+                        datasource_type="notion_import",
+                        notion_info={
+                            "notion_workspace_id": workspace_id,
+                            "notion_obj_id": page['page_id'],
+                            "notion_page_type": page['type'],
+                            "tenant_id": current_user.current_tenant_id
+                        },
+                        document_model=args['doc_form']
+                    )
+                    extract_settings.append(extract_setting)
         else:
             raise ValueError('Data source type not support')
+        indexing_runner = IndexingRunner()
+        try:
+            response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                         args['process_rule'], args['doc_form'],
+                                                         args['doc_language'], args['dataset_id'],
+                                                         args['indexing_technique'])
+        except LLMBadRequestError:
+            raise ProviderNotInitializeError(
+                "No Embedding Model available. Please configure a valid provider "
+                "in the Settings -> Model Provider.")
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+
         return response, 200
 
 
@@ -376,7 +401,7 @@ class DatasetApiKeyApi(Resource):
     @marshal_with(api_key_fields)
     def post(self):
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         current_key_count = db.session.query(ApiToken). \
@@ -410,7 +435,7 @@ class DatasetApiDeleteApi(Resource):
         api_key_id = str(api_key_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         key = db.session.query(ApiToken). \
@@ -493,4 +518,3 @@ api.add_resource(DatasetApiDeleteApi, '/datasets/api-keys/<uuid:api_key_id>')
 api.add_resource(DatasetApiBaseUrlApi, '/datasets/api-base-info')
 api.add_resource(DatasetRetrievalSettingApi, '/datasets/retrieval-setting')
 api.add_resource(DatasetRetrievalSettingMockApi, '/datasets/retrieval-setting/<string:vector_type>')
-

api/controllers/console/datasets/datasets_document.py

@@ -1,34 +1,50 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
-from typing import List
 
-from flask import request, current_app
+from flask import request
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, fields, marshal, marshal_with, reqparse
-from sqlalchemy import desc, asc
-from werkzeug.exceptions import NotFound, Forbidden
+from sqlalchemy import asc, desc
+from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
-from controllers.console.datasets.error import DocumentAlreadyFinishedError, InvalidActionError, DocumentIndexingError, \
-    InvalidMetadataError, ArchivedDocumentImmutableError
+from controllers.console.app.error import (
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.datasets.error import (
+    ArchivedDocumentImmutableError,
+    DocumentAlreadyFinishedError,
+    DocumentIndexingError,
+    InvalidActionError,
+    InvalidMetadataError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from core.errors.error import (
+    LLMBadRequestError,
+    ModelCurrentlyNotSupportError,
+    ProviderTokenNotInitError,
+    QuotaExceededError,
+)
 from core.indexing_runner import IndexingRunner
-from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError, \
-    LLMBadRequestError
-from core.model_providers.model_factory import ModelFactory
-from extensions.ext_redis import redis_client
-from fields.document_fields import document_with_segments_fields, document_fields, \
-    dataset_and_document_fields, document_status_fields
+from core.model_manager import ModelManager
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
-from models.dataset import DatasetProcessRule, Dataset
-from models.dataset import Document, DocumentSegment
+from extensions.ext_redis import redis_client
+from fields.document_fields import (
+    dataset_and_document_fields,
+    document_fields,
+    document_status_fields,
+    document_with_segments_fields,
+)
+from libs.login import login_required
+from models.dataset import Dataset, DatasetProcessRule, Document, DocumentSegment
 from models.model import UploadFile
-from services.dataset_service import DocumentService, DatasetService
+from services.dataset_service import DatasetService, DocumentService
 from tasks.add_document_to_index_task import add_document_to_index_task
 from tasks.remove_document_from_index_task import remove_document_from_index_task
 
@@ -54,7 +70,7 @@ class DocumentResource(Resource):
 
         return document
 
-    def get_batch_documents(self, dataset_id: str, batch: str) -> List[Document]:
+    def get_batch_documents(self, dataset_id: str, batch: str) -> list[Document]:
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
             raise NotFound('Dataset not found.')
@@ -80,7 +96,7 @@ class GetProcessRuleApi(Resource):
         req_data = request.args
 
         document_id = req_data.get('document_id')
-        
+
         # get default rules
         mode = DocumentService.DEFAULT_RULES['mode']
         rules = DocumentService.DEFAULT_RULES['rules']
@@ -204,7 +220,7 @@ class DatasetDocumentListApi(Resource):
             raise NotFound('Dataset not found.')
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
@@ -256,7 +272,7 @@ class DatasetInitApi(Resource):
     @cloud_edition_billing_resource_check('vector_space')
     def post(self):
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         parser = reqparse.RequestParser()
@@ -272,13 +288,15 @@ class DatasetInitApi(Resource):
         args = parser.parse_args()
         if args['indexing_technique'] == 'high_quality':
             try:
-                ModelFactory.get_embedding_model(
-                    tenant_id=current_user.current_tenant_id
+                model_manager = ModelManager()
+                model_manager.get_default_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    model_type=ModelType.TEXT_EMBEDDING
                 )
-            except LLMBadRequestError:
+            except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -345,16 +363,22 @@ class DocumentIndexingEstimateApi(DocumentResource):
                 if not file:
                     raise NotFound('File not found.')
 
+                extract_setting = ExtractSetting(
+                    datasource_type="upload_file",
+                    upload_file=file,
+                    document_model=document.doc_form
+                )
+
                 indexing_runner = IndexingRunner()
 
                 try:
-                    response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, [file],
-                                                                      data_process_rule_dict, None,
-                                                                      'English', dataset_id)
+                    response = indexing_runner.indexing_estimate(current_user.current_tenant_id, [extract_setting],
+                                                                 data_process_rule_dict, document.doc_form,
+                                                                 'English', dataset_id)
                 except LLMBadRequestError:
                     raise ProviderNotInitializeError(
-                        f"No Embedding Model available. Please configure a valid provider "
-                        f"in the Settings -> Model Provider.")
+                        "No Embedding Model available. Please configure a valid provider "
+                        "in the Settings -> Model Provider.")
                 except ProviderTokenNotInitError as ex:
                     raise ProviderNotInitializeError(ex.description)
 
@@ -385,6 +409,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
         data_process_rule = documents[0].dataset_process_rule
         data_process_rule_dict = data_process_rule.to_dict()
         info_list = []
+        extract_settings = []
         for document in documents:
             if document.indexing_status in ['completed', 'error']:
                 raise DocumentAlreadyFinishedError()
@@ -407,42 +432,49 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 }
                 info_list.append(notion_info)
 
-        if dataset.data_source_type == 'upload_file':
-            file_details = db.session.query(UploadFile).filter(
-                UploadFile.tenant_id == current_user.current_tenant_id,
-                UploadFile.id in info_list
-            ).all()
+            if document.data_source_type == 'upload_file':
+                file_id = data_source_info['upload_file_id']
+                file_detail = db.session.query(UploadFile).filter(
+                    UploadFile.tenant_id == current_user.current_tenant_id,
+                    UploadFile.id == file_id
+                ).first()
 
-            if file_details is None:
-                raise NotFound("File not found.")
+                if file_detail is None:
+                    raise NotFound("File not found.")
 
+                extract_setting = ExtractSetting(
+                    datasource_type="upload_file",
+                    upload_file=file_detail,
+                    document_model=document.doc_form
+                )
+                extract_settings.append(extract_setting)
+
+            elif document.data_source_type == 'notion_import':
+                extract_setting = ExtractSetting(
+                    datasource_type="notion_import",
+                    notion_info={
+                        "notion_workspace_id": data_source_info['notion_workspace_id'],
+                        "notion_obj_id": data_source_info['notion_page_id'],
+                        "notion_page_type": data_source_info['type'],
+                        "tenant_id": current_user.current_tenant_id
+                    },
+                    document_model=document.doc_form
+                )
+                extract_settings.append(extract_setting)
+
+            else:
+                raise ValueError('Data source type not support')
             indexing_runner = IndexingRunner()
             try:
-                response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, file_details,
-                                                                  data_process_rule_dict, None,
-                                                                  'English', dataset_id)
+                response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                             data_process_rule_dict, document.doc_form,
+                                                             'English', dataset_id)
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
-        elif dataset.data_source_type == 'notion_import':
-
-            indexing_runner = IndexingRunner()
-            try:
-                response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id,
-                                                                    info_list,
-                                                                    data_process_rule_dict,
-                                                                    None, 'English', dataset_id)
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
-        else:
-            raise ValueError('Data source type not support')
         return response
 
 
@@ -553,7 +585,7 @@ class DocumentDetailApi(DocumentResource):
             }
         else:
             process_rules = DatasetService.get_process_rules(dataset_id)
-            data_source_info = document.data_source_detail_dict_()
+            data_source_info = document.data_source_detail_dict
             response = {
                 'id': document.id,
                 'position': document.position,
@@ -597,7 +629,7 @@ class DocumentProcessingApi(DocumentResource):
         document = self.get_document(dataset_id, document_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         if action == "pause":
@@ -661,7 +693,7 @@ class DocumentMetadataApi(DocumentResource):
         doc_metadata = req_data.get('doc_metadata')
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         if doc_type is None or doc_metadata is None:
@@ -708,7 +740,7 @@ class DocumentStatusApi(DocumentResource):
         document = self.get_document(dataset_id, document_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         indexing_cache_key = 'document_{}_indexing'.format(document.id)

api/controllers/console/datasets/datasets_segments.py

@@ -1,10 +1,11 @@
-# -*- coding:utf-8 -*-
 import uuid
 from datetime import datetime
+
+import pandas as pd
 from flask import request
 from flask_login import current_user
-from flask_restful import Resource, reqparse, marshal
-from werkzeug.exceptions import NotFound, Forbidden
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from controllers.console import api
@@ -12,19 +13,18 @@ from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import InvalidActionError, NoFileUploadedError, TooManyFilesError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
-from core.model_providers.error import LLMBadRequestError, ProviderTokenNotInitError
-from core.model_providers.model_factory import ModelFactory
-from libs.login import login_required
+from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
+from core.model_manager import ModelManager
+from core.model_runtime.entities.model_entities import ModelType
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
 from fields.segment_fields import segment_fields
+from libs.login import login_required
 from models.dataset import DocumentSegment
-
 from services.dataset_service import DatasetService, DocumentService, SegmentService
-from tasks.enable_segment_to_index_task import enable_segment_to_index_task
-from tasks.disable_segment_from_index_task import disable_segment_from_index_task
 from tasks.batch_create_segment_to_index_task import batch_create_segment_to_index_task
-import pandas as pd
+from tasks.disable_segment_from_index_task import disable_segment_from_index_task
+from tasks.enable_segment_to_index_task import enable_segment_to_index_task
 
 
 class DatasetDocumentSegmentListApi(Resource):
@@ -123,7 +123,7 @@ class DatasetDocumentSegmentApi(Resource):
         # check user's model setting
         DatasetService.check_dataset_model_setting(dataset)
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
@@ -133,15 +133,17 @@ class DatasetDocumentSegmentApi(Resource):
         if dataset.indexing_technique == 'high_quality':
             # check embedding model setting
             try:
-                ModelFactory.get_embedding_model(
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
                     tenant_id=current_user.current_tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -153,6 +155,9 @@ class DatasetDocumentSegmentApi(Resource):
         if not segment:
             raise NotFound('Segment not found.')
 
+        if segment.status != 'completed':
+            raise NotFound('Segment is not completed, enable or disable function is not allowed')
+
         document_indexing_cache_key = 'document_{}_indexing'.format(segment.document_id)
         cache_result = redis_client.get(document_indexing_cache_key)
         if cache_result is not None:
@@ -214,20 +219,22 @@ class DatasetDocumentSegmentAddApi(Resource):
         if not document:
             raise NotFound('Document not found.')
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
         # check embedding model setting
         if dataset.indexing_technique == 'high_quality':
             try:
-                ModelFactory.get_embedding_model(
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
                     tenant_id=current_user.current_tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
         try:
@@ -269,15 +276,17 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         if dataset.indexing_technique == 'high_quality':
             # check embedding model setting
             try:
-                ModelFactory.get_embedding_model(
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
                     tenant_id=current_user.current_tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
             # check segment
@@ -289,7 +298,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         if not segment:
             raise NotFound('Segment not found.')
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
         try:
             DatasetService.check_dataset_permission(dataset, current_user)
@@ -333,7 +342,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         if not segment:
             raise NotFound('Segment not found.')
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
         try:
             DatasetService.check_dataset_permission(dataset, current_user)

api/controllers/console/datasets/file.py

@@ -1,19 +1,20 @@
-from flask import request, current_app
+from flask import current_app, request
 from flask_login import current_user
-
-import services
-from libs.login import login_required
 from flask_restful import Resource, marshal_with
 
+import services
 from controllers.console import api
-from controllers.console.datasets.error import NoFileUploadedError, TooManyFilesError, FileTooLargeError, \
-    UnsupportedFileTypeError
-
+from controllers.console.datasets.error import (
+    FileTooLargeError,
+    NoFileUploadedError,
+    TooManyFilesError,
+    UnsupportedFileTypeError,
+)
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from fields.file_fields import upload_config_fields, file_fields
-
-from services.file_service import FileService
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from fields.file_fields import file_fields, upload_config_fields
+from libs.login import login_required
+from services.file_service import ALLOWED_EXTENSIONS, UNSTRUSTURED_ALLOWED_EXTENSIONS, FileService
 
 PREVIEW_WORDS_LIMIT = 3000
 
@@ -38,6 +39,7 @@ class FileApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(file_fields)
+    @cloud_edition_billing_resource_check(resource='documents')
     def post(self):
 
         # get file from request
@@ -69,5 +71,16 @@ class FilePreviewApi(Resource):
         return {'content': text}
 
 
+class FileSupportTypeApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        etl_type = current_app.config['ETL_TYPE']
+        allowed_extensions = UNSTRUSTURED_ALLOWED_EXTENSIONS if etl_type == 'Unstructured' else ALLOWED_EXTENSIONS
+        return {'allowed_extensions': allowed_extensions}
+
+
 api.add_resource(FileApi, '/files/upload')
 api.add_resource(FilePreviewApi, '/files/<uuid:file_id>/preview')
+api.add_resource(FileSupportTypeApi, '/files/support-type')

api/controllers/console/datasets/hit_testing.py

@@ -1,20 +1,29 @@
 import logging
 
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal
-from werkzeug.exceptions import InternalServerError, NotFound, Forbidden
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
-from controllers.console.datasets.error import HighQualityDatasetOnlyError, DatasetNotInitializedError
+from controllers.console.app.error import (
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.datasets.error import DatasetNotInitializedError, HighQualityDatasetOnlyError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError, \
-    LLMBadRequestError
+from core.errors.error import (
+    LLMBadRequestError,
+    ModelCurrentlyNotSupportError,
+    ProviderTokenNotInitError,
+    QuotaExceededError,
+)
+from core.model_runtime.errors.invoke import InvokeError
 from fields.hit_testing_fields import hit_testing_record_fields
+from libs.login import login_required
 from services.dataset_service import DatasetService
 from services.hit_testing_service import HitTestingService
 
@@ -67,8 +76,10 @@ class HitTestingApi(Resource):
             raise ProviderModelCurrentlyNotSupportError()
         except LLMBadRequestError:
             raise ProviderNotInitializeError(
-                f"No Embedding Model or Reranking Model available. Please configure a valid provider "
-                f"in the Settings -> Model Provider.")
+                "No Embedding Model or Reranking Model available. Please configure a valid provider "
+                "in the Settings -> Model Provider.")
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise ValueError(str(e))
         except Exception as e:

api/controllers/console/error.py

@@ -13,6 +13,16 @@ class NotSetupError(BaseHTTPException):
                   "Please proceed with the initialization and installation process first."
     code = 401
 
+class NotInitValidateError(BaseHTTPException):
+    error_code = 'not_init_validated'
+    description = "Init validation has not been completed yet. " \
+                  "Please proceed with the init validation process first."
+    code = 401
+
+class InitValidateFailedError(BaseHTTPException):
+    error_code = 'init_validate_failed'
+    description = "Init validation failed. Please check the password and try again."
+    code = 401
 
 class AccountNotLinkTenantError(BaseHTTPException):
     error_code = 'account_not_link_tenant'

api/controllers/console/explore/audio.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 import logging
 
 from flask import request
@@ -6,17 +5,28 @@ from werkzeug.exceptions import InternalServerError
 
 import services
 from controllers.console import api
-from controllers.console.app.error import AppUnavailableError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError, \
-    NoAudioUploadedError, AudioTooLargeError, \
-    UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
+from controllers.console.app.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
 from controllers.console.explore.wraps import InstalledAppResource
-from core.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
-from services.audio_service import AudioService
-from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
-    UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
 from models.model import AppModelConfig
+from services.audio_service import AudioService
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class ChatAudioApi(InstalledAppResource):
@@ -30,9 +40,10 @@ class ChatAudioApi(InstalledAppResource):
         file = request.files['file']
 
         try:
-            response = AudioService.transcript(
+            response = AudioService.transcript_asr(
                 tenant_id=app_model.tenant_id,
                 file=file,
+                end_user=None
             )
 
             return response
@@ -53,14 +64,56 @@ class ChatAudioApi(InstalledAppResource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
             logging.exception("internal server error.")
             raise InternalServerError()
-        
 
-api.add_resource(ChatAudioApi, '/installed-apps/<uuid:installed_app_id>/audio-to-text', endpoint='installed_app_audio')
+
+class ChatTextApi(InstalledAppResource):
+    def post(self, installed_app):
+        app_model = installed_app.app
+        app_model_config: AppModelConfig = app_model.app_model_config
+
+        if not app_model_config.text_to_speech_dict['enabled']:
+            raise AppUnavailableError()
+
+        try:
+            response = AudioService.transcript_tts(
+                tenant_id=app_model.tenant_id,
+                text=request.form['text'],
+                voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
+                streaming=False
+            )
+            return {'data': response.data.decode('latin1')}
+        except services.errors.app_model_config.AppModelConfigBrokenError:
+            logging.exception("App model config broken.")
+            raise AppUnavailableError()
+        except NoAudioUploadedServiceError:
+            raise NoAudioUploadedError()
+        except AudioTooLargeServiceError as e:
+            raise AudioTooLargeError(str(e))
+        except UnsupportedAudioTypeServiceError:
+            raise UnsupportedAudioTypeError()
+        except ProviderNotSupportSpeechToTextServiceError:
+            raise ProviderNotSupportSpeechToTextError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+        except QuotaExceededError:
+            raise ProviderQuotaExceededError()
+        except ModelCurrentlyNotSupportError:
+            raise ProviderModelCurrentlyNotSupportError()
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+        except ValueError as e:
+            raise e
+        except Exception as e:
+            logging.exception("internal server error.")
+            raise InternalServerError()
+
+
+api.add_resource(ChatAudioApi, '/installed-apps/<uuid:installed_app_id>/audio-to-text', endpoint='installed_app_audio')
+api.add_resource(ChatTextApi, '/installed-apps/<uuid:installed_app_id>/text-to-audio', endpoint='installed_app_text')

api/controllers/console/explore/completion.py

@@ -1,8 +1,8 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
+from collections.abc import Generator
 from datetime import datetime
-from typing import Generator, Union
+from typing import Union
 
 from flask import Response, stream_with_context
 from flask_login import current_user
@@ -11,13 +11,20 @@ from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import ConversationCompletedError, AppUnavailableError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
-from controllers.console.explore.error import NotCompletionAppError, NotChatAppError
+from controllers.console.app.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.explore.error import NotChatAppError, NotCompletionAppError
 from controllers.console.explore.wraps import InstalledAppResource
-from core.conversation_message_task import PubHandler
-from core.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
+from core.application_queue_manager import ApplicationQueueManager
+from core.entities.application_entities import InvokeFrom
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
 from extensions.ext_database import db
 from libs.helper import uuid_value
 from services.completion_service import CompletionService
@@ -50,7 +57,7 @@ class CompletionApi(InstalledAppResource):
                 app_model=app_model,
                 user=current_user,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.EXPLORE,
                 streaming=streaming
             )
 
@@ -68,9 +75,8 @@ class CompletionApi(InstalledAppResource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -84,7 +90,7 @@ class CompletionStopApi(InstalledAppResource):
         if app_model.mode != 'completion':
             raise NotCompletionAppError()
 
-        PubHandler.stop(current_user, task_id)
+        ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
 
         return {'result': 'success'}, 200
 
@@ -115,7 +121,7 @@ class ChatApi(InstalledAppResource):
                 app_model=app_model,
                 user=current_user,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.EXPLORE,
                 streaming=streaming
             )
 
@@ -133,9 +139,8 @@ class ChatApi(InstalledAppResource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -149,7 +154,7 @@ class ChatStopApi(InstalledAppResource):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
-        PubHandler.stop(current_user, task_id)
+        ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
 
         return {'result': 'success'}, 200
 
@@ -159,30 +164,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except services.errors.conversation.ConversationNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Conversation Not Exists.")).get_json()) + "\n\n"
-            except services.errors.conversation.ConversationCompletedError:
-                yield "data: " + json.dumps(api.handle_error(ConversationCompletedError()).get_json()) + "\n\n"
-            except services.errors.app_model_config.AppModelConfigBrokenError:
-                logging.exception("App model config broken.")
-                yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/console/explore/conversation.py

@@ -1,6 +1,5 @@
-# -*- coding:utf-8 -*-
 from flask_login import current_user
-from flask_restful import fields, reqparse, marshal_with
+from flask_restful import marshal_with, reqparse
 from flask_restful.inputs import int_range
 from werkzeug.exceptions import NotFound
 
@@ -8,9 +7,9 @@ from controllers.console import api
 from controllers.console.explore.error import NotChatAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
-from libs.helper import TimestampField, uuid_value
+from libs.helper import uuid_value
 from services.conversation_service import ConversationService
-from services.errors.conversation import LastConversationNotExistsError, ConversationNotExistsError
+from services.errors.conversation import ConversationNotExistsError, LastConversationNotExistsError
 from services.web_conversation_service import WebConversationService
 
 
@@ -73,7 +72,7 @@ class ConversationRenameApi(InstalledAppResource):
 
         parser = reqparse.RequestParser()
         parser.add_argument('name', type=str, required=False, location='json')
-        parser.add_argument('auto_generate', type=bool, required=False, default='False', location='json')
+        parser.add_argument('auto_generate', type=bool, required=False, default=False, location='json')
         args = parser.parse_args()
 
         try:

api/controllers/console/explore/error.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 from libs.exception import BaseHTTPException
 
 

api/controllers/console/explore/installed_app.py

@@ -1,20 +1,18 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
 
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with, inputs
+from flask_restful import Resource, inputs, marshal_with, reqparse
 from sqlalchemy import and_
-from werkzeug.exceptions import NotFound, Forbidden, BadRequest
+from werkzeug.exceptions import BadRequest, Forbidden, NotFound
 
 from controllers.console import api
 from controllers.console.explore.wraps import InstalledAppResource
-from controllers.console.wraps import account_initialization_required
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
 from fields.installed_app_fields import installed_app_list_fields
+from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
-from controllers.console.wraps import cloud_edition_billing_resource_check
 
 
 class InstalledAppsListApi(Resource):
@@ -35,8 +33,9 @@ class InstalledAppsListApi(Resource):
                 'app_owner_tenant_id': installed_app.app_owner_tenant_id,
                 'is_pinned': installed_app.is_pinned,
                 'last_used_at': installed_app.last_used_at,
-                "editable": current_user.role in ["owner", "admin"],
-                "uninstallable": current_tenant_id == installed_app.app_owner_tenant_id
+                'editable': current_user.role in ["owner", "admin"],
+                'uninstallable': current_tenant_id == installed_app.app_owner_tenant_id,
+                'is_agent': installed_app.is_agent
             }
             for installed_app in installed_apps
         ]

api/controllers/console/explore/message.py

@@ -1,24 +1,34 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
 
-from flask import stream_with_context, Response
+from flask import Response, stream_with_context
 from flask_login import current_user
-from flask_restful import reqparse, fields, marshal_with
+from flask_restful import marshal_with, reqparse
 from flask_restful.inputs import int_range
-from werkzeug.exceptions import NotFound, InternalServerError
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import AppMoreLikeThisDisabledError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
-from controllers.console.explore.error import NotCompletionAppError, AppSuggestedQuestionsAfterAnswerDisabledError
+from controllers.console.app.error import (
+    AppMoreLikeThisDisabledError,
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.explore.error import (
+    AppSuggestedQuestionsAfterAnswerDisabledError,
+    NotChatAppError,
+    NotCompletionAppError,
+)
 from controllers.console.explore.wraps import InstalledAppResource
-from core.model_providers.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
+from core.entities.application_entities import InvokeFrom
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
 from fields.message_fields import message_infinite_scroll_pagination_fields
-from libs.helper import uuid_value, TimestampField
+from libs.helper import uuid_value
 from services.completion_service import CompletionService
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
@@ -27,7 +37,6 @@ from services.message_service import MessageService
 
 
 class MessageListApi(InstalledAppResource):
-
     @marshal_with(message_infinite_scroll_pagination_fields)
     def get(self, installed_app):
         app_model = installed_app.app
@@ -49,7 +58,6 @@ class MessageListApi(InstalledAppResource):
         except services.errors.message.FirstMessageNotExistsError:
             raise NotFound("First Message Not Exists.")
 
-
 class MessageFeedbackApi(InstalledAppResource):
     def post(self, installed_app, message_id):
         app_model = installed_app.app
@@ -83,7 +91,13 @@ class MessageMoreLikeThisApi(InstalledAppResource):
         streaming = args['response_mode'] == 'streaming'
 
         try:
-            response = CompletionService.generate_more_like_this(app_model, current_user, message_id, streaming)
+            response = CompletionService.generate_more_like_this(
+                app_model=app_model,
+                user=current_user,
+                message_id=message_id,
+                invoke_from=InvokeFrom.EXPLORE,
+                streaming=streaming
+            )
             return compact_response(response)
         except MessageNotExistsError:
             raise NotFound("Message Not Exists.")
@@ -95,9 +109,8 @@ class MessageMoreLikeThisApi(InstalledAppResource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception:
@@ -110,27 +123,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except MessageNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
-            except MoreLikeThisDisabledError:
-                yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')
@@ -162,9 +155,8 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except Exception:
             logging.exception("internal server error.")
             raise InternalServerError()

api/controllers/console/explore/parameter.py

@@ -1,11 +1,13 @@
-# -*- coding:utf-8 -*-
-from flask_restful import marshal_with, fields
+import json
+
 from flask import current_app
+from flask_restful import fields, marshal_with
 
 from controllers.console import api
 from controllers.console.explore.wraps import InstalledAppResource
-
-from models.model import InstalledApp
+from extensions.ext_database import db
+from models.model import AppModelConfig, InstalledApp
+from models.tools import ApiToolProvider
 
 
 class AppParameterApi(InstalledAppResource):
@@ -29,7 +31,9 @@ class AppParameterApi(InstalledAppResource):
         'suggested_questions': fields.Raw,
         'suggested_questions_after_answer': fields.Raw,
         'speech_to_text': fields.Raw,
+        'text_to_speech': fields.Raw,
         'retriever_resource': fields.Raw,
+        'annotation_reply': fields.Raw,
         'more_like_this': fields.Raw,
         'user_input_form': fields.Raw,
         'sensitive_word_avoidance': fields.Raw,
@@ -48,7 +52,9 @@ class AppParameterApi(InstalledAppResource):
             'suggested_questions': app_model_config.suggested_questions_list,
             'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
             'speech_to_text': app_model_config.speech_to_text_dict,
+            'text_to_speech': app_model_config.text_to_speech_dict,
             'retriever_resource': app_model_config.retriever_resource_dict,
+            'annotation_reply': app_model_config.annotation_reply_dict,
             'more_like_this': app_model_config.more_like_this_dict,
             'user_input_form': app_model_config.user_input_form_list,
             'sensitive_word_avoidance': app_model_config.sensitive_word_avoidance_dict,
@@ -58,5 +64,42 @@ class AppParameterApi(InstalledAppResource):
             }
         }
 
+class ExploreAppMetaApi(InstalledAppResource):
+    def get(self, installed_app: InstalledApp):
+        """Get app meta"""
+        app_model_config: AppModelConfig = installed_app.app.app_model_config
+
+        agent_config = app_model_config.agent_mode_dict or {}
+        meta = {
+            'tool_icons': {}
+        }
+
+        # get all tools
+        tools = agent_config.get('tools', [])
+        url_prefix = (current_app.config.get("CONSOLE_API_URL")
+                  + "/console/api/workspaces/current/tool-provider/builtin/")
+        for tool in tools:
+            keys = list(tool.keys())
+            if len(keys) >= 4:
+                # current tool standard
+                provider_type = tool.get('provider_type')
+                provider_id = tool.get('provider_id')
+                tool_name = tool.get('tool_name')
+                if provider_type == 'builtin':
+                    meta['tool_icons'][tool_name] = url_prefix + provider_id + '/icon'
+                elif provider_type == 'api':
+                    try:
+                        provider: ApiToolProvider = db.session.query(ApiToolProvider).filter(
+                            ApiToolProvider.id == provider_id
+                        )
+                        meta['tool_icons'][tool_name] = json.loads(provider.icon)
+                    except:
+                        meta['tool_icons'][tool_name] =  {
+                            "background": "#252525",
+                            "content": "\ud83d\ude01"
+                        }
+
+        return meta
 
 api.add_resource(AppParameterApi, '/installed-apps/<uuid:installed_app_id>/parameters', endpoint='installed_app_parameters')
+api.add_resource(ExploreAppMetaApi, '/installed-apps/<uuid:installed_app_id>/meta', endpoint='installed_app_meta')

api/controllers/console/explore/recommended_app.py

@@ -1,13 +1,13 @@
-# -*- coding:utf-8 -*-
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, fields, marshal_with
 from sqlalchemy import and_
 
+from constants.languages import languages
 from controllers.console import api
 from controllers.console.app.error import AppNotFoundError
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
+from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
 
@@ -30,7 +30,8 @@ recommended_app_fields = {
     'is_listed': fields.Boolean,
     'install_count': fields.Integer,
     'installed': fields.Boolean,
-    'editable': fields.Boolean
+    'editable': fields.Boolean,
+    'is_agent': fields.Boolean
 }
 
 recommended_app_list_fields = {
@@ -44,7 +45,7 @@ class RecommendedAppListApi(Resource):
     @account_initialization_required
     @marshal_with(recommended_app_list_fields)
     def get(self):
-        language_prefix = current_user.interface_language if current_user.interface_language else 'en-US'
+        language_prefix = current_user.interface_language if current_user.interface_language else languages[0]
 
         recommended_apps = db.session.query(RecommendedApp).filter(
             RecommendedApp.is_listed == True,
@@ -83,6 +84,7 @@ class RecommendedAppListApi(Resource):
                 'install_count': recommended_app.install_count,
                 'installed': installed,
                 'editable': current_user.role in ['owner', 'admin'],
+                "is_agent": app.is_agent
             }
             recommended_apps_result.append(recommended_app_result)
 

api/controllers/console/explore/saved_message.py

@@ -1,15 +1,15 @@
 from flask_login import current_user
-from flask_restful import reqparse, marshal_with, fields
+from flask_restful import fields, marshal_with, reqparse
 from flask_restful.inputs import int_range
 from werkzeug.exceptions import NotFound
 
 from controllers.console import api
 from controllers.console.explore.error import NotCompletionAppError
 from controllers.console.explore.wraps import InstalledAppResource
-from libs.helper import uuid_value, TimestampField
+from fields.conversation_fields import message_file_fields
+from libs.helper import TimestampField, uuid_value
 from services.errors.message import MessageNotExistsError
 from services.saved_message_service import SavedMessageService
-from fields.conversation_fields import message_file_fields
 
 feedback_fields = {
     'rating': fields.String

api/controllers/console/explore/wraps.py

@@ -1,12 +1,12 @@
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource
 from functools import wraps
 
+from flask_login import current_user
+from flask_restful import Resource
 from werkzeug.exceptions import NotFound
 
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
+from libs.login import login_required
 from models.model import InstalledApp
 
 

api/controllers/console/extension.py

@@ -1,14 +1,14 @@
-from flask_restful import Resource, reqparse, marshal_with
 from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
 
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
+from fields.api_based_extension_fields import api_based_extension_fields
 from libs.login import login_required
 from models.api_based_extension import APIBasedExtension
-from fields.api_based_extension_fields import api_based_extension_fields
-from services.code_based_extension_service import CodeBasedExtensionService
 from services.api_based_extension_service import APIBasedExtensionService
+from services.code_based_extension_service import CodeBasedExtensionService
 
 
 class CodeBasedExtensionAPI(Resource):

api/controllers/console/feature.py

@@ -0,0 +1,17 @@
+from flask_login import current_user
+from flask_restful import Resource
+
+from services.feature_service import FeatureService
+
+from . import api
+from .wraps import cloud_utm_record
+
+
+class FeatureApi(Resource):
+
+    @cloud_utm_record
+    def get(self):
+        return FeatureService.get_features(current_user.current_tenant_id).dict()
+
+
+api.add_resource(FeatureApi, '/features')

api/controllers/console/init_validate.py

@@ -0,0 +1,49 @@
+import os
+
+from flask import current_app, session
+from flask_restful import Resource, reqparse
+
+from libs.helper import str_len
+from models.model import DifySetup
+from services.account_service import TenantService
+
+from . import api
+from .error import AlreadySetupError, InitValidateFailedError
+from .wraps import only_edition_self_hosted
+
+
+class InitValidateAPI(Resource):
+
+    def get(self):
+        init_status = get_init_validate_status()
+        if init_status:
+            return { 'status': 'finished' }
+        return {'status': 'not_started' }
+
+    @only_edition_self_hosted
+    def post(self):
+        # is tenant created
+        tenant_count = TenantService.get_tenant_count()
+        if tenant_count > 0:
+            raise AlreadySetupError()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('password', type=str_len(30),
+                            required=True, location='json')
+        input_password = parser.parse_args()['password']
+
+        if input_password != os.environ.get('INIT_PASSWORD'):
+            session['is_init_validated'] = False
+            raise InitValidateFailedError()
+            
+        session['is_init_validated'] = True
+        return {'result': 'success'}, 201
+
+def get_init_validate_status():
+    if current_app.config['EDITION'] == 'SELF_HOSTED':
+        if os.environ.get('INIT_PASSWORD'):
+            return session.get('is_init_validated') or DifySetup.query.first()
+    
+    return True
+
+api.add_resource(InitValidateAPI, '/init')

api/controllers/console/setup.py

@@ -1,18 +1,17 @@
-# -*- coding:utf-8 -*-
 from functools import wraps
 
-from flask import request, current_app
+from flask import current_app, request
 from flask_restful import Resource, reqparse
 
 from extensions.ext_database import db
-from models.model import DifySetup
-from services.account_service import AccountService, TenantService, RegisterService
-
 from libs.helper import email, str_len
 from libs.password import valid_password
+from models.model import DifySetup
+from services.account_service import AccountService, RegisterService, TenantService
 
 from . import api
-from .error import AlreadySetupError, NotSetupError
+from .error import AlreadySetupError, NotInitValidateError, NotSetupError
+from .init_validate import get_init_validate_status
 from .wraps import only_edition_self_hosted
 
 
@@ -26,7 +25,7 @@ class SetupApi(Resource):
                     'step': 'finished',
                     'setup_at': setup_status.setup_at.isoformat()
                 }
-            return {'step': 'not_start'}
+            return {'step': 'not_started'}
         return {'step': 'finished'}
 
     @only_edition_self_hosted
@@ -39,6 +38,9 @@ class SetupApi(Resource):
         tenant_count = TenantService.get_tenant_count()
         if tenant_count > 0:
             raise AlreadySetupError()
+    
+        if not get_init_validate_status():
+            raise NotInitValidateError()
 
         parser = reqparse.RequestParser()
         parser.add_argument('email', type=email,
@@ -73,7 +75,10 @@ def setup_required(view):
     @wraps(view)
     def decorated(*args, **kwargs):
         # check setup
-        if not get_setup_status():
+        if not get_init_validate_status():
+            raise NotInitValidateError()
+        
+        elif not get_setup_status():
             raise NotSetupError()
 
         return view(*args, **kwargs)

api/controllers/console/universal_chat/audio.py

@@ -1,66 +0,0 @@
-# -*- coding:utf-8 -*-
-import logging
-
-from flask import request
-from werkzeug.exceptions import InternalServerError
-
-import services
-from controllers.console import api
-from controllers.console.app.error import AppUnavailableError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError, \
-    NoAudioUploadedError, AudioTooLargeError, \
-    UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
-from controllers.console.universal_chat.wraps import UniversalChatResource
-from core.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
-from services.audio_service import AudioService
-from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
-    UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
-from models.model import AppModelConfig
-
-
-class UniversalChatAudioApi(UniversalChatResource):
-    def post(self, universal_app):
-        app_model = universal_app
-        app_model_config: AppModelConfig = app_model.app_model_config
-
-        if not app_model_config.speech_to_text_dict['enabled']:
-            raise AppUnavailableError()
-
-        file = request.files['file']
-
-        try:
-            response = AudioService.transcript(
-                tenant_id=app_model.tenant_id,
-                file=file,
-            )
-
-            return response
-        except services.errors.app_model_config.AppModelConfigBrokenError:
-            logging.exception("App model config broken.")
-            raise AppUnavailableError()
-        except NoAudioUploadedServiceError:
-            raise NoAudioUploadedError()
-        except AudioTooLargeServiceError as e:
-            raise AudioTooLargeError(str(e))
-        except UnsupportedAudioTypeServiceError:
-            raise UnsupportedAudioTypeError()
-        except ProviderNotSupportSpeechToTextServiceError:
-            raise ProviderNotSupportSpeechToTextError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
-        except QuotaExceededError:
-            raise ProviderQuotaExceededError()
-        except ModelCurrentlyNotSupportError:
-            raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
-        except ValueError as e:
-            raise e
-        except Exception as e:
-            logging.exception("internal server error.")
-            raise InternalServerError()
-        
-
-api.add_resource(UniversalChatAudioApi, '/universal-chat/audio-to-text')

api/controllers/console/universal_chat/chat.py

@@ -1,142 +0,0 @@
-import json
-import logging
-from typing import Generator, Union
-
-from flask import Response, stream_with_context
-from flask_login import current_user
-from flask_restful import reqparse
-from werkzeug.exceptions import InternalServerError, NotFound
-
-import services
-from controllers.console import api
-from controllers.console.app.error import ConversationCompletedError, AppUnavailableError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
-from controllers.console.universal_chat.wraps import UniversalChatResource
-from core.conversation_message_task import PubHandler
-from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError, \
-    LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError
-from libs.helper import uuid_value
-from services.completion_service import CompletionService
-
-
-class UniversalChatApi(UniversalChatResource):
-    def post(self, universal_app):
-        app_model = universal_app
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('query', type=str, required=True, location='json')
-        parser.add_argument('files', type=list, required=False, location='json')
-        parser.add_argument('conversation_id', type=uuid_value, location='json')
-        parser.add_argument('provider', type=str, required=True, location='json')
-        parser.add_argument('model', type=str, required=True, location='json')
-        parser.add_argument('tools', type=list, required=True, location='json')
-        parser.add_argument('retriever_from', type=str, required=False, default='universal_app', location='json')
-        args = parser.parse_args()
-
-        app_model_config = app_model.app_model_config
-
-        # update app model config
-        args['model_config'] = app_model_config.to_dict()
-        args['model_config']['model']['name'] = args['model']
-        args['model_config']['model']['provider'] = args['provider']
-        args['model_config']['agent_mode']['tools'] = args['tools']
-
-        if not args['model_config']['agent_mode']['tools']:
-            args['model_config']['agent_mode']['tools'] = [
-                {
-                    "current_datetime": {
-                        "enabled": True
-                    }
-                }
-            ]
-        else:
-            args['model_config']['agent_mode']['tools'].append({
-                    "current_datetime": {
-                        "enabled": True
-                    }
-                })
-
-        args['inputs'] = {}
-
-        del args['model']
-        del args['tools']
-
-        args['auto_generate_name'] = False
-
-        try:
-            response = CompletionService.completion(
-                app_model=app_model,
-                user=current_user,
-                args=args,
-                from_source='console',
-                streaming=True,
-                is_model_config_override=True,
-            )
-
-            return compact_response(response)
-        except services.errors.conversation.ConversationNotExistsError:
-            raise NotFound("Conversation Not Exists.")
-        except services.errors.conversation.ConversationCompletedError:
-            raise ConversationCompletedError()
-        except services.errors.app_model_config.AppModelConfigBrokenError:
-            logging.exception("App model config broken.")
-            raise AppUnavailableError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
-        except QuotaExceededError:
-            raise ProviderQuotaExceededError()
-        except ModelCurrentlyNotSupportError:
-            raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
-        except ValueError as e:
-            raise e
-        except Exception as e:
-            logging.exception("internal server error.")
-            raise InternalServerError()
-
-
-class UniversalChatStopApi(UniversalChatResource):
-    def post(self, universal_app, task_id):
-        PubHandler.stop(current_user, task_id)
-
-        return {'result': 'success'}, 200
-
-
-def compact_response(response: Union[dict, Generator]) -> Response:
-    if isinstance(response, dict):
-        return Response(response=json.dumps(response), status=200, mimetype='application/json')
-    else:
-        def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except services.errors.conversation.ConversationNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Conversation Not Exists.")).get_json()) + "\n\n"
-            except services.errors.conversation.ConversationCompletedError:
-                yield "data: " + json.dumps(api.handle_error(ConversationCompletedError()).get_json()) + "\n\n"
-            except services.errors.app_model_config.AppModelConfigBrokenError:
-                logging.exception("App model config broken.")
-                yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
-
-        return Response(stream_with_context(generate()), status=200,
-                        mimetype='text/event-stream')
-
-
-api.add_resource(UniversalChatApi, '/universal-chat/messages')
-api.add_resource(UniversalChatStopApi, '/universal-chat/messages/<string:task_id>/stop')

api/controllers/console/universal_chat/conversation.py

@@ -1,111 +0,0 @@
-# -*- coding:utf-8 -*-
-from flask_login import current_user
-from flask_restful import fields, reqparse, marshal_with
-from flask_restful.inputs import int_range
-from werkzeug.exceptions import NotFound
-
-from controllers.console import api
-from controllers.console.universal_chat.wraps import UniversalChatResource
-from fields.conversation_fields import conversation_with_model_config_infinite_scroll_pagination_fields, \
-    conversation_with_model_config_fields
-from libs.helper import TimestampField, uuid_value
-from services.conversation_service import ConversationService
-from services.errors.conversation import LastConversationNotExistsError, ConversationNotExistsError
-from services.web_conversation_service import WebConversationService
-
-
-class UniversalChatConversationListApi(UniversalChatResource):
-
-    @marshal_with(conversation_with_model_config_infinite_scroll_pagination_fields)
-    def get(self, universal_app):
-        app_model = universal_app
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('last_id', type=uuid_value, location='args')
-        parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
-        parser.add_argument('pinned', type=str, choices=['true', 'false', None], location='args')
-        args = parser.parse_args()
-
-        pinned = None
-        if 'pinned' in args and args['pinned'] is not None:
-            pinned = True if args['pinned'] == 'true' else False
-
-        try:
-            return WebConversationService.pagination_by_last_id(
-                app_model=app_model,
-                user=current_user,
-                last_id=args['last_id'],
-                limit=args['limit'],
-                pinned=pinned
-            )
-        except LastConversationNotExistsError:
-            raise NotFound("Last Conversation Not Exists.")
-
-
-class UniversalChatConversationApi(UniversalChatResource):
-    def delete(self, universal_app, c_id):
-        app_model = universal_app
-        conversation_id = str(c_id)
-
-        try:
-            ConversationService.delete(app_model, conversation_id, current_user)
-        except ConversationNotExistsError:
-            raise NotFound("Conversation Not Exists.")
-
-        WebConversationService.unpin(app_model, conversation_id, current_user)
-
-        return {"result": "success"}, 204
-
-
-class UniversalChatConversationRenameApi(UniversalChatResource):
-
-    @marshal_with(conversation_with_model_config_fields)
-    def post(self, universal_app, c_id):
-        app_model = universal_app
-        conversation_id = str(c_id)
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('name', type=str, required=False, location='json')
-        parser.add_argument('auto_generate', type=bool, required=False, default='False', location='json')
-        args = parser.parse_args()
-
-        try:
-            return ConversationService.rename(
-                app_model,
-                conversation_id,
-                current_user,
-                args['name'],
-                args['auto_generate']
-            )
-        except ConversationNotExistsError:
-            raise NotFound("Conversation Not Exists.")
-
-
-class UniversalChatConversationPinApi(UniversalChatResource):
-
-    def patch(self, universal_app, c_id):
-        app_model = universal_app
-        conversation_id = str(c_id)
-
-        try:
-            WebConversationService.pin(app_model, conversation_id, current_user)
-        except ConversationNotExistsError:
-            raise NotFound("Conversation Not Exists.")
-
-        return {"result": "success"}
-
-
-class UniversalChatConversationUnPinApi(UniversalChatResource):
-    def patch(self, universal_app, c_id):
-        app_model = universal_app
-        conversation_id = str(c_id)
-        WebConversationService.unpin(app_model, conversation_id, current_user)
-
-        return {"result": "success"}
-
-
-api.add_resource(UniversalChatConversationRenameApi, '/universal-chat/conversations/<uuid:c_id>/name')
-api.add_resource(UniversalChatConversationListApi, '/universal-chat/conversations')
-api.add_resource(UniversalChatConversationApi, '/universal-chat/conversations/<uuid:c_id>')
-api.add_resource(UniversalChatConversationPinApi, '/universal-chat/conversations/<uuid:c_id>/pin')
-api.add_resource(UniversalChatConversationUnPinApi, '/universal-chat/conversations/<uuid:c_id>/unpin')

api/controllers/console/universal_chat/message.py

@@ -1,147 +0,0 @@
-# -*- coding:utf-8 -*-
-import logging
-
-from flask_login import current_user
-from flask_restful import reqparse, fields, marshal_with
-from flask_restful.inputs import int_range
-from werkzeug.exceptions import NotFound, InternalServerError
-
-import services
-from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
-from controllers.console.explore.error import AppSuggestedQuestionsAfterAnswerDisabledError
-from controllers.console.universal_chat.wraps import UniversalChatResource
-from core.model_providers.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
-from libs.helper import uuid_value, TimestampField
-from services.errors.conversation import ConversationNotExistsError
-from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
-from services.message_service import MessageService
-
-
-class UniversalChatMessageListApi(UniversalChatResource):
-    feedback_fields = {
-        'rating': fields.String
-    }
-
-    agent_thought_fields = {
-        'id': fields.String,
-        'chain_id': fields.String,
-        'message_id': fields.String,
-        'position': fields.Integer,
-        'thought': fields.String,
-        'tool': fields.String,
-        'tool_input': fields.String,
-        'created_at': TimestampField
-    }
-
-    retriever_resource_fields = {
-        'id': fields.String,
-        'message_id': fields.String,
-        'position': fields.Integer,
-        'dataset_id': fields.String,
-        'dataset_name': fields.String,
-        'document_id': fields.String,
-        'document_name': fields.String,
-        'data_source_type': fields.String,
-        'segment_id': fields.String,
-        'score': fields.Float,
-        'hit_count': fields.Integer,
-        'word_count': fields.Integer,
-        'segment_position': fields.Integer,
-        'index_node_hash': fields.String,
-        'content': fields.String,
-        'created_at': TimestampField
-    }
-
-    message_fields = {
-        'id': fields.String,
-        'conversation_id': fields.String,
-        'inputs': fields.Raw,
-        'query': fields.String,
-        'answer': fields.String,
-        'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True),
-        'retriever_resources': fields.List(fields.Nested(retriever_resource_fields)),
-        'created_at': TimestampField,
-        'agent_thoughts': fields.List(fields.Nested(agent_thought_fields))
-    }
-
-    message_infinite_scroll_pagination_fields = {
-        'limit': fields.Integer,
-        'has_more': fields.Boolean,
-        'data': fields.List(fields.Nested(message_fields))
-    }
-
-    @marshal_with(message_infinite_scroll_pagination_fields)
-    def get(self, universal_app):
-        app_model = universal_app
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('conversation_id', required=True, type=uuid_value, location='args')
-        parser.add_argument('first_id', type=uuid_value, location='args')
-        parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
-        args = parser.parse_args()
-
-        try:
-            return MessageService.pagination_by_first_id(app_model, current_user,
-                                                     args['conversation_id'], args['first_id'], args['limit'])
-        except services.errors.conversation.ConversationNotExistsError:
-            raise NotFound("Conversation Not Exists.")
-        except services.errors.message.FirstMessageNotExistsError:
-            raise NotFound("First Message Not Exists.")
-
-
-class UniversalChatMessageFeedbackApi(UniversalChatResource):
-    def post(self, universal_app, message_id):
-        app_model = universal_app
-        message_id = str(message_id)
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('rating', type=str, choices=['like', 'dislike', None], location='json')
-        args = parser.parse_args()
-
-        try:
-            MessageService.create_feedback(app_model, message_id, current_user, args['rating'])
-        except services.errors.message.MessageNotExistsError:
-            raise NotFound("Message Not Exists.")
-
-        return {'result': 'success'}
-
-
-class UniversalChatMessageSuggestedQuestionApi(UniversalChatResource):
-    def get(self, universal_app, message_id):
-        app_model = universal_app
-        message_id = str(message_id)
-
-        try:
-            questions = MessageService.get_suggested_questions_after_answer(
-                app_model=app_model,
-                user=current_user,
-                message_id=message_id
-            )
-        except MessageNotExistsError:
-            raise NotFound("Message not found")
-        except ConversationNotExistsError:
-            raise NotFound("Conversation not found")
-        except SuggestedQuestionsAfterAnswerDisabledError:
-            raise AppSuggestedQuestionsAfterAnswerDisabledError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
-        except QuotaExceededError:
-            raise ProviderQuotaExceededError()
-        except ModelCurrentlyNotSupportError:
-            raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
-        except Exception:
-            logging.exception("internal server error.")
-            raise InternalServerError()
-
-        return {'data': questions}
-
-
-api.add_resource(UniversalChatMessageListApi, '/universal-chat/messages')
-api.add_resource(UniversalChatMessageFeedbackApi, '/universal-chat/messages/<uuid:message_id>/feedbacks')
-api.add_resource(UniversalChatMessageSuggestedQuestionApi, '/universal-chat/messages/<uuid:message_id>/suggested-questions')

api/controllers/console/universal_chat/parameter.py

@@ -1,38 +0,0 @@
-# -*- coding:utf-8 -*-
-import json
-
-from flask_restful import marshal_with, fields
-
-from controllers.console import api
-from controllers.console.universal_chat.wraps import UniversalChatResource
-
-from models.model import App
-
-
-class UniversalChatParameterApi(UniversalChatResource):
-    """Resource for app variables."""
-    parameters_fields = {
-        'opening_statement': fields.String,
-        'suggested_questions': fields.Raw,
-        'suggested_questions_after_answer': fields.Raw,
-        'speech_to_text': fields.Raw,
-        'retriever_resource': fields.Raw,
-    }
-
-    @marshal_with(parameters_fields)
-    def get(self, universal_app: App):
-        """Retrieve app parameters."""
-        app_model = universal_app
-        app_model_config = app_model.app_model_config
-        app_model_config.retriever_resource = json.dumps({'enabled': True})
-
-        return {
-            'opening_statement': app_model_config.opening_statement,
-            'suggested_questions': app_model_config.suggested_questions_list,
-            'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
-            'speech_to_text': app_model_config.speech_to_text_dict,
-            'retriever_resource': app_model_config.retriever_resource_dict,
-        }
-
-
-api.add_resource(UniversalChatParameterApi, '/universal-chat/parameters')

api/controllers/console/universal_chat/wraps.py

@@ -1,86 +0,0 @@
-import json
-from functools import wraps
-
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource
-from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from extensions.ext_database import db
-from models.model import App, AppModelConfig
-
-
-def universal_chat_app_required(view=None):
-    def decorator(view):
-        @wraps(view)
-        def decorated(*args, **kwargs):
-            # get universal chat app
-            universal_app = db.session.query(App).filter(
-                App.tenant_id == current_user.current_tenant_id,
-                App.is_universal == True
-            ).first()
-
-            if universal_app is None:
-                # create universal app if not exists
-                universal_app = App(
-                    tenant_id=current_user.current_tenant_id,
-                    name='Universal Chat',
-                    mode='chat',
-                    is_universal=True,
-                    icon='',
-                    icon_background='',
-                    api_rpm=0,
-                    api_rph=0,
-                    enable_site=False,
-                    enable_api=False,
-                    status='normal'
-                )
-
-                db.session.add(universal_app)
-                db.session.flush()
-
-                app_model_config = AppModelConfig(
-                    provider="",
-                    model_id="",
-                    configs={},
-                    opening_statement='',
-                    suggested_questions=json.dumps([]),
-                    suggested_questions_after_answer=json.dumps({'enabled': True}),
-                    speech_to_text=json.dumps({'enabled': True}),
-                    retriever_resource=json.dumps({'enabled': True}),
-                    more_like_this=None,
-                    sensitive_word_avoidance=None,
-                    model=json.dumps({
-                        "provider": "openai",
-                        "name": "gpt-3.5-turbo-16k",
-                        "completion_params": {
-                            "max_tokens": 800,
-                            "temperature": 0.8,
-                            "top_p": 1,
-                            "presence_penalty": 0,
-                            "frequency_penalty": 0
-                        }
-                    }),
-                    user_input_form=json.dumps([]),
-                    pre_prompt='',
-                    agent_mode=json.dumps({"enabled": True, "strategy": "function_call", "tools": []}),
-                )
-
-                app_model_config.app_id = universal_app.id
-                db.session.add(app_model_config)
-                db.session.flush()
-
-                universal_app.app_model_config_id = app_model_config.id
-                db.session.commit()
-
-            return view(universal_app, *args, **kwargs)
-        return decorated
-
-    if view:
-        return decorator(view)
-    return decorator
-
-
-class UniversalChatResource(Resource):
-    # must be reversed if there are multiple decorators
-    method_decorators = [universal_chat_app_required, account_initialization_required, login_required, setup_required]

api/controllers/console/version.py

@@ -1,12 +1,10 @@
-# -*- coding:utf-8 -*-
 
 import json
 import logging
 
 import requests
 from flask import current_app
-from flask_restful import reqparse, Resource
-from werkzeug.exceptions import InternalServerError
+from flask_restful import Resource, reqparse
 
 from . import api
 

api/controllers/console/webhook/stripe.py

@@ -1,61 +0,0 @@
-import logging
-
-import stripe
-from flask import request, current_app
-from flask_restful import Resource
-
-from controllers.console import api
-from controllers.console.setup import setup_required
-from controllers.console.wraps import only_edition_cloud
-from services.provider_checkout_service import ProviderCheckoutService
-
-
-class StripeWebhookApi(Resource):
-    @setup_required
-    @only_edition_cloud
-    def post(self):
-        payload = request.data
-        sig_header = request.headers.get('STRIPE_SIGNATURE')
-        webhook_secret = current_app.config.get('STRIPE_WEBHOOK_SECRET')
-
-        try:
-            event = stripe.Webhook.construct_event(
-                payload, sig_header, webhook_secret
-            )
-        except ValueError as e:
-            # Invalid payload
-            return 'Invalid payload', 400
-        except stripe.error.SignatureVerificationError as e:
-            # Invalid signature
-            return 'Invalid signature', 400
-
-        # Handle the checkout.session.completed event
-        if event['type'] == 'checkout.session.completed':
-            logging.debug(event['data']['object']['id'])
-            logging.debug(event['data']['object']['amount_subtotal'])
-            logging.debug(event['data']['object']['currency'])
-            logging.debug(event['data']['object']['payment_intent'])
-            logging.debug(event['data']['object']['payment_status'])
-            logging.debug(event['data']['object']['metadata'])
-
-            session = stripe.checkout.Session.retrieve(
-                event['data']['object']['id'],
-                expand=['line_items'],
-            )
-
-            logging.debug(session.line_items['data'][0]['quantity'])
-
-            # Fulfill the purchase...
-            provider_checkout_service = ProviderCheckoutService()
-
-            try:
-                provider_checkout_service.fulfill_provider_order(event, session.line_items)
-            except Exception as e:
-
-                logging.debug(str(e))
-                return 'success', 200
-
-        return 'success', 200
-
-
-api.add_resource(StripeWebhookApi, '/webhook/stripe')

api/controllers/console/workspace/account.py

@@ -1,22 +1,26 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
 
 import pytz
 from flask import current_app, request
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, fields, marshal_with
+from flask_restful import Resource, fields, marshal_with, reqparse
 
-from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError
+from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.setup import setup_required
-from controllers.console.workspace.error import AccountAlreadyInitedError, InvalidInvitationCodeError, \
-    RepeatPasswordNotMatchError, CurrentPasswordIncorrectError
+from controllers.console.workspace.error import (
+    AccountAlreadyInitedError,
+    CurrentPasswordIncorrectError,
+    InvalidInvitationCodeError,
+    RepeatPasswordNotMatchError,
+)
 from controllers.console.wraps import account_initialization_required
-from libs.helper import TimestampField, supported_language, timezone
 from extensions.ext_database import db
-from models.account import InvitationCode, AccountIntegrate
+from libs.helper import TimestampField, timezone
+from libs.login import login_required
+from models.account import AccountIntegrate, InvitationCode
 from services.account_service import AccountService
+from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError
 
 account_fields = {
     'id': fields.String,

api/controllers/console/workspace/members.py

@@ -1,17 +1,17 @@
-# -*- coding:utf-8 -*-
 from flask import current_app
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with, abort, fields, marshal
+from flask_restful import Resource, abort, fields, marshal_with, reqparse
 
 import services
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
-from libs.helper import TimestampField
 from extensions.ext_database import db
-from models.account import Account, TenantAccountJoin
-from services.account_service import TenantService, RegisterService
+from libs.helper import TimestampField
+from libs.login import login_required
+from models.account import Account
+from services.account_service import RegisterService, TenantService
+from services.errors.account import AccountAlreadyInTenantError
 
 account_fields = {
     'id': fields.String,
@@ -52,10 +52,12 @@ class MemberInviteEmailApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('emails', type=str, required=True, location='json', action='append')
         parser.add_argument('role', type=str, required=True, default='admin', location='json')
+        parser.add_argument('language', type=str, required=False, location='json')
         args = parser.parse_args()
 
         invitee_emails = args['emails']
         invitee_role = args['role']
+        interface_language = args['language']
         if invitee_role not in ['admin', 'normal']:
             return {'code': 'invalid-role', 'message': 'Invalid role'}, 400
 
@@ -64,19 +66,19 @@ class MemberInviteEmailApi(Resource):
         console_web_url = current_app.config.get("CONSOLE_WEB_URL")
         for invitee_email in invitee_emails:
             try:
-                token = RegisterService.invite_new_member(inviter.current_tenant, invitee_email, role=invitee_role,
-                                                        inviter=inviter)
-                account = db.session.query(Account, TenantAccountJoin.role).join(
-                    TenantAccountJoin, Account.id == TenantAccountJoin.account_id
-                ).filter(Account.email == invitee_email).first()
-                account, role = account
+                token = RegisterService.invite_new_member(inviter.current_tenant, invitee_email, interface_language, role=invitee_role, inviter=inviter)
                 invitation_results.append({
                     'status': 'success',
                     'email': invitee_email,
                     'url': f'{console_web_url}/activate?email={invitee_email}&token={token}'
                 })
-                account = marshal(account, account_fields)
-                account['role'] = role
+            except AccountAlreadyInTenantError:
+                invitation_results.append({
+                    'status': 'success',
+                    'email': invitee_email,
+                    'url': f'{console_web_url}/signin'
+                })
+                break
             except Exception as e:
                 invitation_results.append({
                     'status': 'failed',

api/controllers/console/workspace/model_providers.py

@@ -1,16 +1,19 @@
+import io
+
+from flask import send_file
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, reqparse
 from werkzeug.exceptions import Forbidden
 
 from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.model_providers.error import LLMBadRequestError
-from core.model_providers.providers.base import CredentialsValidateFailedError
-from services.provider_checkout_service import ProviderCheckoutService
-from services.provider_service import ProviderService
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.utils.encoders import jsonable_encoder
+from libs.login import login_required
+from services.billing_service import BillingService
+from services.model_provider_service import ModelProviderService
 
 
 class ModelProviderListApi(Resource):
@@ -22,13 +25,36 @@ class ModelProviderListApi(Resource):
         tenant_id = current_user.current_tenant_id
 
         parser = reqparse.RequestParser()
-        parser.add_argument('model_type', type=str, required=False, nullable=True, location='args')
+        parser.add_argument('model_type', type=str, required=False, nullable=True,
+                            choices=[mt.value for mt in ModelType], location='args')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
-        provider_list = provider_service.get_provider_list(tenant_id=tenant_id, model_type=args.get('model_type'))
+        model_provider_service = ModelProviderService()
+        provider_list = model_provider_service.get_provider_list(
+            tenant_id=tenant_id,
+            model_type=args.get('model_type')
+        )
 
-        return provider_list
+        return jsonable_encoder({"data": provider_list})
+
+
+class ModelProviderCredentialApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider: str):
+        tenant_id = current_user.current_tenant_id
+
+        model_provider_service = ModelProviderService()
+        credentials = model_provider_service.get_provider_credentials(
+            tenant_id=tenant_id,
+            provider=provider
+        )
+
+        return {
+            "credentials": credentials
+        }
 
 
 class ModelProviderValidateApi(Resource):
@@ -36,21 +62,24 @@ class ModelProviderValidateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, provider_name: str):
+    def post(self, provider: str):
 
         parser = reqparse.RequestParser()
-        parser.add_argument('config', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
+        tenant_id = current_user.current_tenant_id
+
+        model_provider_service = ModelProviderService()
 
         result = True
         error = None
 
         try:
-            provider_service.custom_provider_config_validate(
-                provider_name=provider_name,
-                config=args['config']
+            model_provider_service.provider_credentials_validate(
+                tenant_id=tenant_id,
+                provider=provider,
+                credentials=args['credentials']
             )
         except CredentialsValidateFailedError as ex:
             result = False
@@ -64,26 +93,26 @@ class ModelProviderValidateApi(Resource):
         return response
 
 
-class ModelProviderUpdateApi(Resource):
+class ModelProviderApi(Resource):
 
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, provider_name: str):
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+    def post(self, provider: str):
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         parser = reqparse.RequestParser()
-        parser.add_argument('config', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
+        model_provider_service = ModelProviderService()
 
         try:
-            provider_service.save_custom_provider_config(
+            model_provider_service.save_provider_credentials(
                 tenant_id=current_user.current_tenant_id,
-                provider_name=provider_name,
-                config=args['config']
+                provider=provider,
+                credentials=args['credentials']
             )
         except CredentialsValidateFailedError as ex:
             raise ValueError(str(ex))
@@ -93,109 +122,36 @@ class ModelProviderUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def delete(self, provider_name: str):
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+    def delete(self, provider: str):
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
-        provider_service = ProviderService()
-        provider_service.delete_custom_provider(
+        model_provider_service = ModelProviderService()
+        model_provider_service.remove_provider_credentials(
             tenant_id=current_user.current_tenant_id,
-            provider_name=provider_name
+            provider=provider
         )
 
         return {'result': 'success'}, 204
 
 
-class ModelProviderModelValidateApi(Resource):
+class ModelProviderIconApi(Resource):
+    """
+    Get model provider icon
+    """
 
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, provider_name: str):
-        parser = reqparse.RequestParser()
-        parser.add_argument('model_name', type=str, required=True, nullable=False, location='json')
-        parser.add_argument('model_type', type=str, required=True, nullable=False,
-                            choices=['text-generation', 'embeddings', 'speech2text', 'reranking'], location='json')
-        parser.add_argument('config', type=dict, required=True, nullable=False, location='json')
-        args = parser.parse_args()
-
-        provider_service = ProviderService()
-
-        result = True
-        error = None
-
-        try:
-            provider_service.custom_provider_model_config_validate(
-                provider_name=provider_name,
-                model_name=args['model_name'],
-                model_type=args['model_type'],
-                config=args['config']
-            )
-        except CredentialsValidateFailedError as ex:
-            result = False
-            error = str(ex)
-
-        response = {'result': 'success' if result else 'error'}
-
-        if not result:
-            response['error'] = error
-
-        return response
-
-
-class ModelProviderModelUpdateApi(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_name: str):
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
-            raise Forbidden()
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('model_name', type=str, required=True, nullable=False, location='json')
-        parser.add_argument('model_type', type=str, required=True, nullable=False,
-                            choices=['text-generation', 'embeddings', 'speech2text', 'reranking'], location='json')
-        parser.add_argument('config', type=dict, required=True, nullable=False, location='json')
-        args = parser.parse_args()
-
-        provider_service = ProviderService()
-
-        try:
-            provider_service.add_or_save_custom_provider_model_config(
-                tenant_id=current_user.current_tenant_id,
-                provider_name=provider_name,
-                model_name=args['model_name'],
-                model_type=args['model_type'],
-                config=args['config']
-            )
-        except CredentialsValidateFailedError as ex:
-            raise ValueError(str(ex))
-
-        return {'result': 'success'}, 200
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def delete(self, provider_name: str):
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
-            raise Forbidden()
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('model_name', type=str, required=True, nullable=False, location='args')
-        parser.add_argument('model_type', type=str, required=True, nullable=False,
-                            choices=['text-generation', 'embeddings', 'speech2text', 'reranking'], location='args')
-        args = parser.parse_args()
-
-        provider_service = ProviderService()
-        provider_service.delete_custom_provider_model(
-            tenant_id=current_user.current_tenant_id,
-            provider_name=provider_name,
-            model_name=args['model_name'],
-            model_type=args['model_type']
+    def get(self, provider: str, icon_type: str, lang: str):
+        model_provider_service = ModelProviderService()
+        icon, mimetype = model_provider_service.get_model_provider_icon(
+            provider=provider,
+            icon_type=icon_type,
+            lang=lang
         )
 
-        return {'result': 'success'}, 204
+        return send_file(io.BytesIO(icon), mimetype=mimetype)
 
 
 class PreferredProviderTypeUpdateApi(Resource):
@@ -203,88 +159,51 @@ class PreferredProviderTypeUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, provider_name: str):
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+    def post(self, provider: str):
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
+        tenant_id = current_user.current_tenant_id
+
         parser = reqparse.RequestParser()
         parser.add_argument('preferred_provider_type', type=str, required=True, nullable=False,
                             choices=['system', 'custom'], location='json')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
-        provider_service.switch_preferred_provider(
-            tenant_id=current_user.current_tenant_id,
-            provider_name=provider_name,
+        model_provider_service = ModelProviderService()
+        model_provider_service.switch_preferred_provider(
+            tenant_id=tenant_id,
+            provider=provider,
             preferred_provider_type=args['preferred_provider_type']
         )
 
         return {'result': 'success'}
 
 
-class ModelProviderModelParameterRuleApi(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self, provider_name: str):
-        parser = reqparse.RequestParser()
-        parser.add_argument('model_name', type=str, required=True, nullable=False, location='args')
-        args = parser.parse_args()
-
-        provider_service = ProviderService()
-
-        try:
-            parameter_rules = provider_service.get_model_parameter_rules(
-                tenant_id=current_user.current_tenant_id,
-                model_provider_name=provider_name,
-                model_name=args['model_name'],
-                model_type='text-generation'
-            )
-        except LLMBadRequestError:
-            raise ProviderNotInitializeError(
-                f"Current Text Generation Model is invalid. Please switch to the available model.")
-
-        rules = {
-            k: {
-                'enabled': v.enabled,
-                'min': v.min,
-                'max': v.max,
-                'default': v.default,
-                'precision': v.precision
-            }
-            for k, v in vars(parameter_rules).items()
-        }
-
-        return rules
-
-
 class ModelProviderPaymentCheckoutUrlApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, provider_name: str):
-        provider_service = ProviderCheckoutService()
-        provider_checkout = provider_service.create_checkout(
-            tenant_id=current_user.current_tenant_id,
-            provider_name=provider_name,
-            account=current_user
-        )
-
-        return {
-            'url': provider_checkout.get_checkout_url()
-        }
+    def get(self, provider: str):
+        if provider != 'anthropic':
+            raise ValueError(f'provider name {provider} is invalid')
+        BillingService.is_tenant_owner_or_admin(current_user)
+        data = BillingService.get_model_provider_payment_link(provider_name=provider,
+                                                              tenant_id=current_user.current_tenant_id,
+                                                              account_id=current_user.id,
+                                                              prefilled_email=current_user.email)
+        return data
 
 
 class ModelProviderFreeQuotaSubmitApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, provider_name: str):
-        provider_service = ProviderService()
-        result = provider_service.free_quota_submit(
+    def post(self, provider: str):
+        model_provider_service = ModelProviderService()
+        result = model_provider_service.free_quota_submit(
             tenant_id=current_user.current_tenant_id,
-            provider_name=provider_name
+            provider=provider
         )
 
         return result
@@ -294,15 +213,15 @@ class ModelProviderFreeQuotaQualificationVerifyApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, provider_name: str):
+    def get(self, provider: str):
         parser = reqparse.RequestParser()
         parser.add_argument('token', type=str, required=False, nullable=True, location='args')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
-        result = provider_service.free_quota_qualification_verify(
+        model_provider_service = ModelProviderService()
+        result = model_provider_service.free_quota_qualification_verify(
             tenant_id=current_user.current_tenant_id,
-            provider_name=provider_name,
+            provider=provider,
             token=args['token']
         )
 
@@ -310,19 +229,18 @@ class ModelProviderFreeQuotaQualificationVerifyApi(Resource):
 
 
 api.add_resource(ModelProviderListApi, '/workspaces/current/model-providers')
-api.add_resource(ModelProviderValidateApi, '/workspaces/current/model-providers/<string:provider_name>/validate')
-api.add_resource(ModelProviderUpdateApi, '/workspaces/current/model-providers/<string:provider_name>')
-api.add_resource(ModelProviderModelValidateApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/models/validate')
-api.add_resource(ModelProviderModelUpdateApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/models')
+
+api.add_resource(ModelProviderCredentialApi, '/workspaces/current/model-providers/<string:provider>/credentials')
+api.add_resource(ModelProviderValidateApi, '/workspaces/current/model-providers/<string:provider>/credentials/validate')
+api.add_resource(ModelProviderApi, '/workspaces/current/model-providers/<string:provider>')
+api.add_resource(ModelProviderIconApi, '/workspaces/current/model-providers/<string:provider>/'
+                                       '<string:icon_type>/<string:lang>')
+
 api.add_resource(PreferredProviderTypeUpdateApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/preferred-provider-type')
-api.add_resource(ModelProviderModelParameterRuleApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/models/parameter-rules')
+                 '/workspaces/current/model-providers/<string:provider>/preferred-provider-type')
 api.add_resource(ModelProviderPaymentCheckoutUrlApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/checkout-url')
+                 '/workspaces/current/model-providers/<string:provider>/checkout-url')
 api.add_resource(ModelProviderFreeQuotaSubmitApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/free-quota-submit')
+                 '/workspaces/current/model-providers/<string:provider>/free-quota-submit')
 api.add_resource(ModelProviderFreeQuotaQualificationVerifyApi,
-                 '/workspaces/current/model-providers/<string:provider_name>/free-quota-qualification-verify')
+                 '/workspaces/current/model-providers/<string:provider>/free-quota-qualification-verify')

api/controllers/console/workspace/models.py

@@ -1,16 +1,17 @@
 import logging
 
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, reqparse
+from werkzeug.exceptions import Forbidden
 
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.model_providers.model_provider_factory import ModelProviderFactory
-from core.model_providers.models.entity.model_params import ModelType
-from models.provider import ProviderType
-from services.provider_service import ProviderService
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.utils.encoders import jsonable_encoder
+from libs.login import login_required
+from services.model_provider_service import ModelProviderService
 
 
 class DefaultModelApi(Resource):
@@ -21,52 +22,20 @@ class DefaultModelApi(Resource):
     def get(self):
         parser = reqparse.RequestParser()
         parser.add_argument('model_type', type=str, required=True, nullable=False,
-                            choices=['text-generation', 'embeddings', 'speech2text', 'reranking'], location='args')
+                            choices=[mt.value for mt in ModelType], location='args')
         args = parser.parse_args()
 
         tenant_id = current_user.current_tenant_id
 
-        provider_service = ProviderService()
-        default_model = provider_service.get_default_model_of_model_type(
+        model_provider_service = ModelProviderService()
+        default_model_entity = model_provider_service.get_default_model_of_model_type(
             tenant_id=tenant_id,
             model_type=args['model_type']
         )
 
-        if not default_model:
-            return None
-
-        model_provider = ModelProviderFactory.get_preferred_model_provider(
-            tenant_id,
-            default_model.provider_name
-        )
-
-        if not model_provider:
-            return {
-                'model_name': default_model.model_name,
-                'model_type': default_model.model_type,
-                'model_provider': {
-                    'provider_name': default_model.provider_name
-                }
-            }
-
-        provider = model_provider.provider
-        rst = {
-            'model_name': default_model.model_name,
-            'model_type': default_model.model_type,
-            'model_provider': {
-                'provider_name': provider.provider_name,
-                'provider_type': provider.provider_type
-            }
-        }
-
-        model_provider_rules = ModelProviderFactory.get_provider_rule(default_model.provider_name)
-        if provider.provider_type == ProviderType.SYSTEM.value:
-            rst['model_provider']['quota_type'] = provider.quota_type
-            rst['model_provider']['quota_unit'] = model_provider_rules['system_config']['quota_unit']
-            rst['model_provider']['quota_limit'] = provider.quota_limit
-            rst['model_provider']['quota_used'] = provider.quota_used
-
-        return rst
+        return jsonable_encoder({
+            "data": default_model_entity
+        })
 
     @setup_required
     @login_required
@@ -76,15 +45,26 @@ class DefaultModelApi(Resource):
         parser.add_argument('model_settings', type=list, required=True, nullable=False, location='json')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
+        tenant_id = current_user.current_tenant_id
+
+        model_provider_service = ModelProviderService()
         model_settings = args['model_settings']
         for model_setting in model_settings:
+            if 'model_type' not in model_setting or model_setting['model_type'] not in [mt.value for mt in ModelType]:
+                raise ValueError('invalid model type')
+
+            if 'provider' not in model_setting:
+                continue
+
+            if 'model' not in model_setting:
+                raise ValueError('invalid model')
+
             try:
-                provider_service.update_default_model_of_model_type(
-                    tenant_id=current_user.current_tenant_id,
+                model_provider_service.update_default_model_of_model_type(
+                    tenant_id=tenant_id,
                     model_type=model_setting['model_type'],
-                    provider_name=model_setting['provider_name'],
-                    model_name=model_setting['model_name']
+                    provider=model_setting['provider'],
+                    model=model_setting['model']
                 )
             except Exception:
                 logging.warning(f"{model_setting['model_type']} save error")
@@ -92,22 +72,198 @@ class DefaultModelApi(Resource):
         return {'result': 'success'}
 
 
-class ValidModelApi(Resource):
+class ModelProviderModelApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        tenant_id = current_user.current_tenant_id
+
+        model_provider_service = ModelProviderService()
+        models = model_provider_service.get_models_by_provider(
+            tenant_id=tenant_id,
+            provider=provider
+        )
+
+        return jsonable_encoder({
+            "data": models
+        })
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, provider: str):
+        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+            raise Forbidden()
+
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('model', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('model_type', type=str, required=True, nullable=False,
+                            choices=[mt.value for mt in ModelType], location='json')
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
+        args = parser.parse_args()
+
+        model_provider_service = ModelProviderService()
+
+        try:
+            model_provider_service.save_model_credentials(
+                tenant_id=tenant_id,
+                provider=provider,
+                model=args['model'],
+                model_type=args['model_type'],
+                credentials=args['credentials']
+            )
+        except CredentialsValidateFailedError as ex:
+            raise ValueError(str(ex))
+
+        return {'result': 'success'}, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, provider: str):
+        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+            raise Forbidden()
+
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('model', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('model_type', type=str, required=True, nullable=False,
+                            choices=[mt.value for mt in ModelType], location='json')
+        args = parser.parse_args()
+
+        model_provider_service = ModelProviderService()
+        model_provider_service.remove_model_credentials(
+            tenant_id=tenant_id,
+            provider=provider,
+            model=args['model'],
+            model_type=args['model_type']
+        )
+
+        return {'result': 'success'}, 204
+
+
+class ModelProviderModelCredentialApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider: str):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('model', type=str, required=True, nullable=False, location='args')
+        parser.add_argument('model_type', type=str, required=True, nullable=False,
+                            choices=[mt.value for mt in ModelType], location='args')
+        args = parser.parse_args()
+
+        model_provider_service = ModelProviderService()
+        credentials = model_provider_service.get_model_credentials(
+            tenant_id=tenant_id,
+            provider=provider,
+            model_type=args['model_type'],
+            model=args['model']
+        )
+
+        return {
+            "credentials": credentials
+        }
+
+
+class ModelProviderModelValidateApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, provider: str):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('model', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('model_type', type=str, required=True, nullable=False,
+                            choices=[mt.value for mt in ModelType], location='json')
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
+        args = parser.parse_args()
+
+        model_provider_service = ModelProviderService()
+
+        result = True
+        error = None
+
+        try:
+            model_provider_service.model_credentials_validate(
+                tenant_id=tenant_id,
+                provider=provider,
+                model=args['model'],
+                model_type=args['model_type'],
+                credentials=args['credentials']
+            )
+        except CredentialsValidateFailedError as ex:
+            result = False
+            error = str(ex)
+
+        response = {'result': 'success' if result else 'error'}
+
+        if not result:
+            response['error'] = error
+
+        return response
+
+
+class ModelProviderModelParameterRuleApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider: str):
+        parser = reqparse.RequestParser()
+        parser.add_argument('model', type=str, required=True, nullable=False, location='args')
+        args = parser.parse_args()
+
+        tenant_id = current_user.current_tenant_id
+
+        model_provider_service = ModelProviderService()
+        parameter_rules = model_provider_service.get_model_parameter_rules(
+            tenant_id=tenant_id,
+            provider=provider,
+            model=args['model']
+        )
+
+        return jsonable_encoder({
+            "data": parameter_rules
+        })
+
+
+class ModelProviderAvailableModelApi(Resource):
 
     @setup_required
     @login_required
     @account_initialization_required
     def get(self, model_type):
-        ModelType.value_of(model_type)
+        tenant_id = current_user.current_tenant_id
 
-        provider_service = ProviderService()
-        valid_models = provider_service.get_valid_model_list(
-            tenant_id=current_user.current_tenant_id,
+        model_provider_service = ModelProviderService()
+        models = model_provider_service.get_models_by_model_type(
+            tenant_id=tenant_id,
             model_type=model_type
         )
 
-        return valid_models
+        return jsonable_encoder({
+            "data": models
+        })
 
 
+api.add_resource(ModelProviderModelApi, '/workspaces/current/model-providers/<string:provider>/models')
+api.add_resource(ModelProviderModelCredentialApi,
+                 '/workspaces/current/model-providers/<string:provider>/models/credentials')
+api.add_resource(ModelProviderModelValidateApi,
+                 '/workspaces/current/model-providers/<string:provider>/models/credentials/validate')
+
+api.add_resource(ModelProviderModelParameterRuleApi,
+                 '/workspaces/current/model-providers/<string:provider>/models/parameter-rules')
+api.add_resource(ModelProviderAvailableModelApi, '/workspaces/current/models/model-types/<string:model_type>')
 api.add_resource(DefaultModelApi, '/workspaces/current/default-model')
-api.add_resource(ValidModelApi, '/workspaces/current/models/model-type/<string:model_type>')

api/controllers/console/workspace/providers.py

@@ -1,131 +0,0 @@
-# -*- coding:utf-8 -*-
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse
-from werkzeug.exceptions import Forbidden
-
-from controllers.console import api
-from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from core.model_providers.providers.base import CredentialsValidateFailedError
-from models.provider import ProviderType
-from services.provider_service import ProviderService
-
-
-class ProviderListApi(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-        tenant_id = current_user.current_tenant_id
-
-        """
-        If the type is AZURE_OPENAI, decode and return the four fields of azure_api_type, azure_api_version:, 
-        azure_api_base, azure_api_key as an object, where azure_api_key displays the first 6 bits in plaintext, and the 
-        rest is replaced by * and the last two bits are displayed in plaintext
-        
-        If the type is other, decode and return the Token field directly, the field displays the first 6 bits in 
-        plaintext, the rest is replaced by * and the last two bits are displayed in plaintext
-        """
-
-        provider_service = ProviderService()
-        provider_info_list = provider_service.get_provider_list(tenant_id)
-
-        provider_list = [
-            {
-                'provider_name': p['provider_name'],
-                'provider_type': p['provider_type'],
-                'is_valid': p['is_valid'],
-                'last_used': p['last_used'],
-                'is_enabled': p['is_valid'],
-                **({
-                       'quota_type': p['quota_type'],
-                       'quota_limit': p['quota_limit'],
-                       'quota_used': p['quota_used']
-                   } if p['provider_type'] == ProviderType.SYSTEM.value else {}),
-                'token': (p['config'] if p['provider_name'] != 'openai' else p['config']['openai_api_key'])
-                        if p['config'] else None
-            }
-            for name, provider_info in provider_info_list.items()
-            for p in provider_info['providers']
-        ]
-
-        return provider_list
-
-
-class ProviderTokenApi(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider):
-        # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
-            raise Forbidden()
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('token', required=True, nullable=False, location='json')
-        args = parser.parse_args()
-
-        if provider == 'openai':
-            args['token'] = {
-                'openai_api_key': args['token']
-            }
-
-        provider_service = ProviderService()
-        try:
-            provider_service.save_custom_provider_config(
-                tenant_id=current_user.current_tenant_id,
-                provider_name=provider,
-                config=args['token']
-            )
-        except CredentialsValidateFailedError as ex:
-            raise ValueError(str(ex))
-
-        return {'result': 'success'}, 201
-
-
-class ProviderTokenValidateApi(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider):
-        parser = reqparse.RequestParser()
-        parser.add_argument('token', required=True, nullable=False, location='json')
-        args = parser.parse_args()
-
-        provider_service = ProviderService()
-
-        if provider == 'openai':
-            args['token'] = {
-                'openai_api_key': args['token']
-            }
-
-        result = True
-        error = None
-
-        try:
-            provider_service.custom_provider_config_validate(
-                provider_name=provider,
-                config=args['token']
-            )
-        except CredentialsValidateFailedError as ex:
-            result = False
-            error = str(ex)
-
-        response = {'result': 'success' if result else 'error'}
-
-        if not result:
-            response['error'] = error
-
-        return response
-
-
-api.add_resource(ProviderTokenApi, '/workspaces/current/providers/<provider>/token',
-                 endpoint='workspaces_current_providers_token')  # PUT for updating provider token
-api.add_resource(ProviderTokenValidateApi, '/workspaces/current/providers/<provider>/token-validate',
-                 endpoint='workspaces_current_providers_token_validate')  # POST for validating provider token
-
-api.add_resource(ProviderListApi, '/workspaces/current/providers')  # GET for getting providers list

api/controllers/console/workspace/tool_providers.py

@@ -1,137 +1,320 @@
-import json
+import io
 
+from flask import current_app, send_file
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, abort, reqparse
+from flask_restful import Resource, reqparse
 from werkzeug.exceptions import Forbidden
 
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.tool.provider.errors import ToolValidateFailedError
-from core.tool.provider.tool_provider_service import ToolProviderService
-from extensions.ext_database import db
-from models.tool import ToolProvider, ToolProviderName
+from libs.login import login_required
+from services.tools_manage_service import ToolManageService
 
 
 class ToolProviderListApi(Resource):
-
     @setup_required
     @login_required
     @account_initialization_required
     def get(self):
+        user_id = current_user.id
         tenant_id = current_user.current_tenant_id
 
-        tool_credential_dict = {}
-        for tool_name in ToolProviderName:
-            tool_credential_dict[tool_name.value] = {
-                'tool_name': tool_name.value,
-                'is_enabled': False,
-                'credentials': None
-            }
+        return ToolManageService.list_tool_providers(user_id, tenant_id)
 
-        tool_providers = db.session.query(ToolProvider).filter(ToolProvider.tenant_id == tenant_id).all()
+class ToolBuiltinProviderListToolsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
 
-        for p in tool_providers:
-            if p.is_enabled:
-                tool_credential_dict[p.tool_name] = {
-                    'tool_name': p.tool_name,
-                    'is_enabled': p.is_enabled,
-                    'credentials': ToolProviderService(tenant_id, p.tool_name).get_credentials(obfuscated=True)
-                }
-
-        return list(tool_credential_dict.values())
-
-
-class ToolProviderCredentialsApi(Resource):
+        return ToolManageService.list_builtin_tool_provider_tools(
+            user_id,
+            tenant_id,
+            provider,
+        )
 
+class ToolBuiltinProviderDeleteApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
     def post(self, provider):
-        if provider not in [p.value for p in ToolProviderName]:
-            abort(404)
-
-        # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
-            raise Forbidden(f'User {current_user.id} is not authorized to update provider token, '
-                            f'current_role is {current_user.current_tenant.current_role}')
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
-        args = parser.parse_args()
-
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        
+        user_id = current_user.id
         tenant_id = current_user.current_tenant_id
 
-        tool_provider_service = ToolProviderService(tenant_id, provider)
-
-        try:
-            tool_provider_service.credentials_validate(args['credentials'])
-        except ToolValidateFailedError as ex:
-            raise ValueError(str(ex))
-
-        encrypted_credentials = json.dumps(tool_provider_service.encrypt_credentials(args['credentials']))
-
-        tenant = current_user.current_tenant
-
-        tool_provider_model = db.session.query(ToolProvider).filter(
-                ToolProvider.tenant_id == tenant.id,
-                ToolProvider.tool_name == provider,
-            ).first()
-
-        # Only allow updating token for CUSTOM provider type
-        if tool_provider_model:
-            tool_provider_model.encrypted_credentials = encrypted_credentials
-            tool_provider_model.is_enabled = True
-        else:
-            tool_provider_model = ToolProvider(
-                tenant_id=tenant.id,
-                tool_name=provider,
-                encrypted_credentials=encrypted_credentials,
-                is_enabled=True
-            )
-            db.session.add(tool_provider_model)
-
-        db.session.commit()
-
-        return {'result': 'success'}, 201
-
-
-class ToolProviderCredentialsValidateApi(Resource):
-
+        return ToolManageService.delete_builtin_tool_provider(
+            user_id,
+            tenant_id,
+            provider,
+        )
+    
+class ToolBuiltinProviderUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
     def post(self, provider):
-        if provider not in [p.value for p in ToolProviderName]:
-            abort(404)
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
 
         parser = reqparse.RequestParser()
         parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
+
         args = parser.parse_args()
 
-        result = True
-        error = None
+        return ToolManageService.update_builtin_tool_provider(
+            user_id,
+            tenant_id,
+            provider,
+            args['credentials'],
+        )
 
+class ToolBuiltinProviderIconApi(Resource):
+    @setup_required
+    def get(self, provider):
+        icon_bytes, minetype = ToolManageService.get_builtin_tool_provider_icon(provider)
+        icon_cache_max_age = int(current_app.config.get('TOOL_ICON_CACHE_MAX_AGE'))
+        return send_file(io.BytesIO(icon_bytes), mimetype=minetype, max_age=icon_cache_max_age)
+
+class ToolModelProviderIconApi(Resource):
+    @setup_required
+    def get(self, provider):
+        icon_bytes, mimetype = ToolManageService.get_model_tool_provider_icon(provider)
+        return send_file(io.BytesIO(icon_bytes), mimetype=mimetype)
+    
+class ToolModelProviderListToolsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user_id = current_user.id
         tenant_id = current_user.current_tenant_id
 
-        tool_provider_service = ToolProviderService(tenant_id, provider)
+        parser = reqparse.RequestParser()
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='args')
 
-        try:
-            tool_provider_service.credentials_validate(args['credentials'])
-        except ToolValidateFailedError as ex:
-            result = False
-            error = str(ex)
+        args = parser.parse_args()
 
-        response = {'result': 'success' if result else 'error'}
+        return ToolManageService.list_model_tool_provider_tools(
+            user_id,
+            tenant_id,
+            args['provider'],
+        )
 
-        if not result:
-            response['error'] = error
+class ToolApiProviderAddApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
 
-        return response
+        parser = reqparse.RequestParser()
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('schema_type', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('schema', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json')
 
+        args = parser.parse_args()
+
+        return ToolManageService.create_api_tool_provider(
+            user_id,
+            tenant_id,
+            args['provider'],
+            args['icon'],
+            args['credentials'],
+            args['schema_type'],
+            args['schema'],
+            args.get('privacy_policy', ''),
+        )
+
+class ToolApiProviderGetRemoteSchemaApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('url', type=str, required=True, nullable=False, location='args')
+
+        args = parser.parse_args()
+
+        return ToolManageService.get_api_tool_provider_remote_schema(
+            current_user.id,
+            current_user.current_tenant_id,
+            args['url'],
+        )
+    
+class ToolApiProviderListToolsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='args')
+
+        args = parser.parse_args()
+
+        return ToolManageService.list_api_tool_provider_tools(
+            user_id,
+            tenant_id,
+            args['provider'],
+        )
+
+class ToolApiProviderUpdateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('schema_type', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('schema', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('original_provider', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('privacy_policy', type=str, required=True, nullable=True, location='json')
+
+        args = parser.parse_args()
+
+        return ToolManageService.update_api_tool_provider(
+            user_id,
+            tenant_id,
+            args['provider'],
+            args['original_provider'],
+            args['icon'],
+            args['credentials'],
+            args['schema_type'],
+            args['schema'],
+            args['privacy_policy'],
+        )
+
+class ToolApiProviderDeleteApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
+
+        args = parser.parse_args()
+
+        return ToolManageService.delete_api_tool_provider(
+            user_id,
+            tenant_id,
+            args['provider'],
+        )
+
+class ToolApiProviderGetApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='args')
+
+        args = parser.parse_args()
+
+        return ToolManageService.get_api_tool_provider(
+            user_id,
+            tenant_id,
+            args['provider'],
+        )
+
+class ToolBuiltinProviderCredentialsSchemaApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        return ToolManageService.list_builtin_provider_credentials_schema(provider)
+
+class ToolApiProviderSchemaApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('schema', type=str, required=True, nullable=False, location='json')
+
+        args = parser.parse_args()
+
+        return ToolManageService.parser_api_schema(
+            schema=args['schema'],
+        )
+
+class ToolApiProviderPreviousTestApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('tool_name', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('provider_name', type=str, required=False, nullable=False, location='json')
+        parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('parameters', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('schema_type', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('schema', type=str, required=True, nullable=False, location='json')
+
+        args = parser.parse_args()
+
+        return ToolManageService.test_api_tool_preview(
+            current_user.current_tenant_id,
+            args['provider_name'] if args['provider_name'] else '',
+            args['tool_name'],
+            args['credentials'],
+            args['parameters'],
+            args['schema_type'],
+            args['schema'],
+        )
 
 api.add_resource(ToolProviderListApi, '/workspaces/current/tool-providers')
-api.add_resource(ToolProviderCredentialsApi, '/workspaces/current/tool-providers/<provider>/credentials')
-api.add_resource(ToolProviderCredentialsValidateApi,
-                 '/workspaces/current/tool-providers/<provider>/credentials-validate')
+api.add_resource(ToolBuiltinProviderListToolsApi, '/workspaces/current/tool-provider/builtin/<provider>/tools')
+api.add_resource(ToolBuiltinProviderDeleteApi, '/workspaces/current/tool-provider/builtin/<provider>/delete')
+api.add_resource(ToolBuiltinProviderUpdateApi, '/workspaces/current/tool-provider/builtin/<provider>/update')
+api.add_resource(ToolBuiltinProviderCredentialsSchemaApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials_schema')
+api.add_resource(ToolBuiltinProviderIconApi, '/workspaces/current/tool-provider/builtin/<provider>/icon')
+api.add_resource(ToolModelProviderIconApi, '/workspaces/current/tool-provider/model/<provider>/icon')
+api.add_resource(ToolModelProviderListToolsApi, '/workspaces/current/tool-provider/model/tools')
+api.add_resource(ToolApiProviderAddApi, '/workspaces/current/tool-provider/api/add')
+api.add_resource(ToolApiProviderGetRemoteSchemaApi, '/workspaces/current/tool-provider/api/remote')
+api.add_resource(ToolApiProviderListToolsApi, '/workspaces/current/tool-provider/api/tools')
+api.add_resource(ToolApiProviderUpdateApi, '/workspaces/current/tool-provider/api/update') 
+api.add_resource(ToolApiProviderDeleteApi, '/workspaces/current/tool-provider/api/delete')
+api.add_resource(ToolApiProviderGetApi, '/workspaces/current/tool-provider/api/get')
+api.add_resource(ToolApiProviderSchemaApi, '/workspaces/current/tool-provider/api/schema')
+api.add_resource(ToolApiProviderPreviousTestApi, '/workspaces/current/tool-provider/api/test/pre')

api/controllers/console/workspace/workspace.py

@@ -1,20 +1,27 @@
-# -*- coding:utf-8 -*-
 import logging
 
 from flask import request
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, fields, marshal_with, reqparse, marshal, inputs
+from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
 
+import services
 from controllers.console import api
 from controllers.console.admin import admin_required
-from controllers.console.setup import setup_required
+from controllers.console.datasets.error import (
+    FileTooLargeError,
+    NoFileUploadedError,
+    TooManyFilesError,
+    UnsupportedFileTypeError,
+)
 from controllers.console.error import AccountNotLinkTenantError
-from controllers.console.wraps import account_initialization_required
-from libs.helper import TimestampField
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
+from libs.helper import TimestampField
+from libs.login import login_required
 from models.account import Tenant
 from services.account_service import TenantService
+from services.file_service import FileService
 from services.workspace_service import WorkspaceService
 
 provider_fields = {
@@ -31,9 +38,9 @@ tenant_fields = {
     'status': fields.String,
     'created_at': TimestampField,
     'role': fields.String,
-    'providers': fields.List(fields.Nested(provider_fields)),
     'in_trial': fields.Boolean,
     'trial_end_reason': fields.String,
+    'custom_config': fields.Raw(attribute='custom_config'),
 }
 
 tenants_fields = {
@@ -130,6 +137,61 @@ class SwitchWorkspaceApi(Resource):
         new_tenant = db.session.query(Tenant).get(args['tenant_id'])  # Get new tenant
 
         return {'result': 'success', 'new_tenant': marshal(WorkspaceService.get_tenant_info(new_tenant), tenant_fields)}
+    
+
+class CustomConfigWorkspaceApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('workspace_custom')
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('remove_webapp_brand', type=bool, location='json')
+        parser.add_argument('replace_webapp_logo', type=str,  location='json')
+        args = parser.parse_args()
+
+        custom_config_dict = {
+            'remove_webapp_brand': args['remove_webapp_brand'],
+            'replace_webapp_logo': args['replace_webapp_logo'],
+        }
+
+        tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
+
+        tenant.custom_config_dict = custom_config_dict
+        db.session.commit()
+
+        return {'result': 'success', 'tenant': marshal(WorkspaceService.get_tenant_info(tenant), tenant_fields)}
+    
+
+class WebappLogoWorkspaceApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('workspace_custom')
+    def post(self):
+        # get file from request
+        file = request.files['file']
+
+        # check file
+        if 'file' not in request.files:
+            raise NoFileUploadedError()
+
+        if len(request.files) > 1:
+            raise TooManyFilesError()
+
+        extension = file.filename.split('.')[-1]
+        if extension.lower() not in ['svg', 'png']:
+            raise UnsupportedFileTypeError()
+
+        try:
+            upload_file = FileService.upload_file(file, current_user, True)
+
+        except services.errors.file.FileTooLargeError as file_too_large_error:
+            raise FileTooLargeError(file_too_large_error.description)
+        except services.errors.file.UnsupportedFileTypeError:
+            raise UnsupportedFileTypeError()
+        
+        return { 'id': upload_file.id }, 201
 
 
 api.add_resource(TenantListApi, '/workspaces')  # GET for getting all tenants
@@ -137,3 +199,5 @@ api.add_resource(WorkspaceListApi, '/all-workspaces')  # GET for getting all ten
 api.add_resource(TenantApi, '/workspaces/current', endpoint='workspaces_current')  # GET for getting current tenant info
 api.add_resource(TenantApi, '/info', endpoint='info')  # Deprecated
 api.add_resource(SwitchWorkspaceApi, '/workspaces/switch')  # POST for switching tenant
+api.add_resource(CustomConfigWorkspaceApi, '/workspaces/custom-config')
+api.add_resource(WebappLogoWorkspaceApi, '/workspaces/custom-config/webapp-logo/upload')

api/controllers/console/wraps.py

@@ -1,11 +1,12 @@
-# -*- coding:utf-8 -*-
+import json
 from functools import wraps
 
-from flask import current_app, abort
+from flask import abort, current_app, request
 from flask_login import current_user
 
 from controllers.console.workspace.error import AccountNotInitializedError
-from services.billing_service import BillingService
+from services.feature_service import FeatureService
+from services.operation_service import OperationService
 
 
 def account_initialization_required(view):
@@ -49,18 +50,31 @@ def cloud_edition_billing_resource_check(resource: str,
     def interceptor(view):
         @wraps(view)
         def decorated(*args, **kwargs):
-            if current_app.config['EDITION'] == 'CLOUD':
-                tenant_id = current_user.current_tenant_id
-                billing_info = BillingService.get_info(tenant_id)
-                members = billing_info['members']
-                apps = billing_info['apps']
-                vector_space = billing_info['vector_space']
+            features = FeatureService.get_features(current_user.current_tenant_id)
 
-                if resource == 'members' and 0 < members['limit'] <= members['size']:
+            if features.billing.enabled:
+                members = features.members
+                apps = features.apps
+                vector_space = features.vector_space
+                documents_upload_quota = features.documents_upload_quota
+                annotation_quota_limit = features.annotation_quota_limit
+
+                if resource == 'members' and 0 < members.limit <= members.size:
                     abort(403, error_msg)
-                elif resource == 'apps' and 0 < apps['limit'] <= apps['size']:
+                elif resource == 'apps' and 0 < apps.limit <= apps.size:
                     abort(403, error_msg)
-                elif resource == 'vector_space' and 0 < vector_space['limit'] <= vector_space['size']:
+                elif resource == 'vector_space' and 0 < vector_space.limit <= vector_space.size:
+                    abort(403, error_msg)
+                elif resource == 'documents' and 0 < documents_upload_quota.limit <= documents_upload_quota.size:
+                    # The api of file upload is used in the multiple places, so we need to check the source of the request from datasets
+                    source = request.args.get('source')
+                    if source == 'datasets':
+                        abort(403, error_msg)
+                    else:
+                        return view(*args, **kwargs)
+                elif resource == 'workspace_custom' and not features.can_replace_logo:
+                    abort(403, error_msg)
+                elif resource == 'annotation' and 0 < annotation_quota_limit.limit < annotation_quota_limit.size:
                     abort(403, error_msg)
                 else:
                     return view(*args, **kwargs)
@@ -69,3 +83,20 @@ def cloud_edition_billing_resource_check(resource: str,
         return decorated
     return interceptor
 
+
+def cloud_utm_record(view):
+    @wraps(view)
+    def decorated(*args, **kwargs):
+        try:
+            features = FeatureService.get_features(current_user.current_tenant_id)
+
+            if features.billing.enabled:
+                utm_info = request.cookies.get('utm_info')
+
+                if utm_info:
+                    utm_info = json.loads(utm_info)
+                    OperationService.record_utm(current_user.current_tenant_id, utm_info)
+        except Exception as e:
+            pass
+        return view(*args, **kwargs)
+    return decorated

api/controllers/files/__init__.py

@@ -1,10 +1,9 @@
 # -*- coding:utf-8 -*-
 from flask import Blueprint
-
 from libs.external_api import ExternalApi
 
 bp = Blueprint('files', __name__)
 api = ExternalApi(bp)
 
 
-from . import image_preview
+from . import image_preview, tool_files