bump version to 0.5.3 (#2306)

Co-authored-by: luowei <glpat-EjySCyNjWiLqAED-YmwM>
Co-authored-by: crazywoola <427733928@qq.com>
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>

.github/CODE_OF_CONDUCT.md

@@ -0,0 +1,43 @@
+# Dify Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, caste, color, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Language Policy
+
+To facilitate clear and effective communication, all discussions, comments, documentation, and pull requests in this project should be conducted in English. This ensures that all contributors can participate and collaborate effectively.
+
+

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,49 +1,56 @@
 name: "🕷️ Bug report"
 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 file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
 
-- type: dropdown
-  attributes:
-    label: Cloud or Self Hosted
-    description: How / Where was Dify installed from?
-    multiple: true
-    options:
-      - Cloud
-      - Self Hosted
-      - Other (please specify in "Steps to Reproduce")
-  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 +1,20 @@
 name: "📚 Documentation Issue"
 description: Report issues in our documentation
-labels: 
-- ducumentation
+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 file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: textarea
+    attributes:
+      label: Provide a description of requested docs changes
+      placeholder: Briefly describe which document needs to be corrected and why.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -1,26 +1,48 @@
 name: "⭐ Feature or enhancement request"
 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 file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: textarea
+    attributes:
+      label: 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 +1,20 @@
 name: "🤝 Help Wanted"
-description: "Request help from the community"
+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 file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: textarea
+    attributes:
+      label: Provide a description of the help you need
+      placeholder: Briefly describe what you need help with.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -1,46 +1,52 @@
 name: "🌐 Localization/Translation issue"
-description: Report incorrect translations.
+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 file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+  - type: input
+    attributes:
+      label: Dify version
+      placeholder: 0.3.21
+      description: Hover over system tray icon or look at Settings
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Utility with translation issue
+      placeholder: Some area
+      description: Please input here the utility with the translation issue
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: 🌐 Language affected
+      placeholder: "German"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ❌ Actual phrase(s)
+      placeholder: What is there? Please include a screenshot as that is extremely helpful.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ✔️ Expected phrase(s)
+      placeholder: What was expected?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ℹ Why is the current translation wrong
+      placeholder: Why do you feel this is incorrect?
+    validations:
+      required: true

.github/linters/.hadolint.yaml

@@ -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/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

@@ -6,57 +6,55 @@ on:
       - 'main'
       - 'deploy/dev'
   release:
-    types: [published]
+    types: [ published ]
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
     if: github.event.pull_request.draft == false
     steps:
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v2
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
 
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
 
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USER }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
 
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-api
-        tags: |
-          type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=semver,pattern={{major}}.{{minor}}.{{patch}}
-          type=semver,pattern={{major}}.{{minor}}
-          type=semver,pattern={{major}}
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: langgenius/dify-api
+          tags: |
+            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
+            type=ref,event=branch
+            type=sha,enable=true,priority=100,prefix=,suffix=,format=long
+            type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
 
-    - name: Build and push
-      uses: docker/build-push-action@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: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: "{{defaultContext}}:api"
+          platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
+          build-args: |
+            COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
 
-    - name: Deploy to server
-      if: github.ref == 'refs/heads/deploy/dev'
-      uses: appleboy/ssh-action@v0.1.8
-      with:
-        host: ${{ secrets.SSH_HOST }}
-        username: ${{ secrets.SSH_USER }}
-        key: ${{ secrets.SSH_PRIVATE_KEY }}
-        script: |
-          ${{ secrets.SSH_SCRIPT }}
+      - name: Deploy to server
+        if: github.ref == 'refs/heads/deploy/dev'
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ secrets.SSH_SCRIPT }}

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

@@ -6,57 +6,55 @@ on:
       - 'main'
       - 'deploy/dev'
   release:
-    types: [published]
+    types: [ published ]
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
     if: github.event.pull_request.draft == false
     steps:
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v2
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
 
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
 
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USER }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
 
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-web
-        tags: |
-          type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=semver,pattern={{major}}.{{minor}}.{{patch}}
-          type=semver,pattern={{major}}.{{minor}}
-          type=semver,pattern={{major}}
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: langgenius/dify-web
+          tags: |
+            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
+            type=ref,event=branch
+            type=sha,enable=true,priority=100,prefix=,suffix=,format=long
+            type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
 
-    - name: Build and push
-      uses: docker/build-push-action@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: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: "{{defaultContext}}:web"
+          platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
+          build-args: |
+            COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
 
-    - name: Deploy to server
-      if: github.ref == 'refs/heads/deploy/dev'
-      uses: appleboy/ssh-action@v0.1.8
-      with:
-        host: ${{ secrets.SSH_HOST }}
-        username: ${{ secrets.SSH_USER }}
-        key: ${{ secrets.SSH_PRIVATE_KEY }}
-        script: |
-          ${{ secrets.SSH_SCRIPT }}
+      - name: Deploy to server
+        if: github.ref == 'refs/heads/deploy/dev'
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ secrets.SSH_SCRIPT }}

.github/workflows/stale.yml

@@ -7,7 +7,7 @@ name: Mark stale issues and pull requests
 
 on:
   schedule:
-  - cron: '0 3 * * *'
+    - cron: '0 3 * * *'
 
 jobs:
   stale:
@@ -18,13 +18,13 @@ jobs:
       pull-requests: write
 
     steps:
-    - uses: actions/stale@v5
-      with:
-        days-before-issue-stale: 30
-        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'
+      - 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 +1,51 @@
+name: Style check
+
+on:
+  pull_request:
+    branches:
+      - main
+
+concurrency:
+  group: dep-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    name: ESLint and SuperLinter
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - 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@v5
+        env:
+          BASH_SEVERITY: warning
+          DEFAULT_BRANCH: main
+          ERROR_ON_MISSING_EXEC_BIT: true
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          IGNORE_GENERATED_FILES: true
+          IGNORE_GITIGNORED_FILES: true
+          VALIDATE_BASH: true
+          VALIDATE_BASH_EXEC: true
+          VALIDATE_GITHUB_ACTIONS: true
+          VALIDATE_DOCKERFILE_HADOLINT: true
+          VALIDATE_YAML: true

.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

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/AhzKf7dNgk) 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/AhzKf7dNgk) 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！

README.md

@@ -1,65 +1,81 @@
-![](./images/describe-en.png)
+[![](./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_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
-#### [Website](https://dify.ai) • [Docs](https://docs.dify.ai) • [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted) •  [FAQ](https://docs.dify.ai/getting-started/faq) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<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>
 
-**Dify** is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. With visual orchestration for various application types, Dify offers out-of-the-box, ready-to-use applications that can also serve as Backend-as-a-Service APIs. Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement.
+<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>
 
-Applications created with Dify include:
+**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.**
 
-Out-of-the-box web sites supporting form mode and chat conversation mode
-A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort
-Visual data analysis, log review, and annotation for applications
+![](./images/demo.png)
 
 
-https://github.com/langgenius/dify/assets/100913391/f6e658d5-31b3-4c16-a0af-9e191da4d0f6
+
+## Using our Cloud 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.
+
+## 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 | Close Source | Open Source |
+| **RAG Engine** | Supported | Supported | Not Supported |
+| **Prompt IDE** | Included | Included | None |
+| **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety |
+| **Local Deployment** | Supported | Not Supported | Not Applicable |
 
 
-## Highlighted Features
-**1. LLMs support:** Choose capabilities based on different models when building your Dify AI apps. Dify is compatible with Langchain, meaning it will support various LLMs. Currently supported:
 
-- [x] **OpenAI**: GPT4, GPT3.5-turbo, GPT3.5-turbo-16k, text-davinci-003 
-- [x] **Azure OpenAI Service**
-- [x] **Anthropic**: Claude2, Claude-instant
-- [x] **Replicate**
-- [x] **Hugging Face Hub**
-- [x] **ChatGLM**
-- [x] **Llama2**
-- [x] **MiniMax**
-- [x] **Spark**
-- [x] **Wenxin**
-- [x] **Tongyi**
+## Features
+
+![](./images/models.png)
+
+**1. LLM Support**: Integration with OpenAI's GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS).
+
+**2. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team.
+
+**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. 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.
 
 
-We provide the following free resources for registered Dify cloud users (sign up at [dify.ai](https://dify.ai)):
-* 200 free OpenAI queries to build OpenAI-based apps
+**5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
 
-  
-**2. Visual orchestration:** Build an AI app in minutes by writing and debugging prompts visually.
+## Before You Start
 
-**3. Text embedding:** Fully automated text preprocessing embeds your data as context without complex concepts. Supports PDF, TXT, and syncing data from Notion, webpages, APIs.
+**Star us on GitHub, and be instantly notified for new releases!**
 
-**4. API-based:**  Backend-as-a-service. Access web apps directly or integrate via APIs without complex backend setup.
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
 
-**5. Plugins:** Dify "Smart Chat" now supports first-party plugins like web browsing, Google search, Wikipedia to enable online lookup, analyzing web content, and explaining the AI's reasoning process conversationally.
+- [Website](https://dify.ai)
+- [Docs](https://docs.dify.ai)
+- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
 
-**6. Team workspaces:** Team members can join workspaces to collaboratively edit, manage, and use team AI apps.
-
-**7. Data labeling and improvement:**  Visually inspect AI app logs and improve data via labeling. Observe the AI's reasoning process to continuously enhance performance. (Coming soon)
-
-## Use cases
-* [Create an AI ChatBot with Business Data in Minutes.](https://docs.dify.ai/use-cases/create-an-ai-chatbot-with-business-data-in-minutes)
-* [How to Build an Notion AI Assistant Based on Your Own Notes?](https://docs.dify.ai/use-cases/build-an-notion-ai-assistant)
-* [Create a Midjoureny Prompt Bot Without Code in Just a Few Minutes.](https://docs.dify.ai/use-cases/create-a-midjoureny-prompt-bot-with-dify)
-
-## Use Cloud Services
-
-Visit [Dify.ai](https://dify.ai)
 
 ## Install the Community Edition
 
@@ -83,93 +99,56 @@ After running, you can access the Dify dashboard in your browser at [http://loca
 
 ### 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.
+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.
 
 ### Configuration
 
-If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run 'docker-compose up -d' again.
+If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables in our [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-## Roadmap
-
-Features under development:
-
-- **Datasets**, supporting more datasets, e.g. syncing content from Notion or webpages
-We will support more datasets, including text, webpages, and even Notion content. Users can build AI applications based on their own data sources.
-- **Plugins**, introducing ChatGPT Plugin-standard plugins for applications, or using Dify-produced plugins
-We will release plugins complying with ChatGPT standard, or Dify's own plugins to enable more capabilities in applications. 
-
-
-## Q&A
-
-**Q: What can I do with Dify?**
-
-A: Dify is a simple yet powerful LLM development and operations tool. You can use it to build commercial-grade applications, personal assistants. If you want to develop your own applications, LangDifyGenius can save you backend work in integrating with OpenAI and offer visual operations capabilities, allowing you to continuously improve and train your GPT model.
-
-**Q: How do I use Dify to "train" my own model?**
-
-A: A valuable application consists of Prompt Engineering, context enhancement, and Fine-tuning. We've created a hybrid programming approach combining Prompts with programming languages (similar to a template engine), making it easy to accomplish long-text embedding or capturing subtitles from a user-input Youtube video - all of which will be submitted as context for LLMs to process. We place great emphasis on application operability, with data generated by users during App usage available for analysis, annotation, and continuous training. Without the right tools, these steps can be time-consuming.
-
-**Q: What do I need to prepare if I want to create my own application?**
-
-A: We assume you already have an OpenAI API Key; if not, please register for one. If you already have some content that can serve as training context, that's great!
-
-**Q: What interface languages are available?**
-
-A: English and Chinese are currently supported, and you can contribute language packs to us.
 
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
+## Contributing
 
-## Contributing 
+For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
 
-We welcome you to contribute to Dify to help make Dify better. We welcome contributions 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.
+At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
 
-### Submit a Pull Request 
+### Contributors
 
-To ensure proper review, all code contributions, including from contributors with direct commit access, must be submitted as PR requests and approved by core developers before merging branches. 
-We welcome PRs from everyone! If you're willing to help out, you can learn more about how to contribute code to the project in the [Contribution Guide](CONTRIBUTING.md).  
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-### Submit issues or ideas  
+### Translations
 
-You can submit your issues or ideas by adding issues to the Dify repository. If you encounter issues, please describe the steps you took to encounter the issue as much as possible so we can better discover it. If you have any new ideas for our product, we also welcome your feedback. Please share your insights as much as possible so we can get more feedback and further discussion in the community.  
+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_EN.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/AhzKf7dNgk).
 
-### Share your applications
+## Community & Support
 
-We encourage all community members to share their AI applications built on Dify, which can be applied to different scenarios or different users. This will provide powerful inspiration for people who want to create AI capabilities! You can share your experience by [submitting an issue in the Dify-user-case repository](https://github.com/langgenius/dify-user-case/issues).  
+* [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.
 
-### Share Dify with others
+### Direct Meetings
 
-We encourage community contributors to actively demonstrate different aspects of using Dify. You can talk or share any feature of using Dify at  meetups and conferences, blogs or social media. We believe your unique sharing will be of great help to others!  Mention @Dify.AI on Twitter and/or communicate on [Discord](https://discord.gg/FngNHpbcY7) so we can give pointers and tips and help you spread the word by promoting your content on the different Dify communication channels.
+**Help us make Dify better. Reach out directly to us**.
 
-### Help others 
-You can also help people in need of help on Discord, GitHub issues or other social platforms, guide others to solve problems encountered during use and share usage experiences. This is also a great contribution! If you want to become a maintainer of the Dify community, please contact the official team via [Discord](https://discord.gg/FngNHpbcY7) or email us at support@dify.ai. 
+|                       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        |
 
-
-## Contact Us
-
-If you have any questions, suggestions, or partnership inquiries, feel free to contact us through the following channels:
-
-- Submit an Issue or PR on our GitHub Repo
-- Join the discussion in our [Discord](https://discord.gg/FngNHpbcY7) Community
-- Send an email to hello@dify.ai
-
-We're eager to assist you and together create more fun and useful AI applications!
-
-## Security
+## Security Disclosure
 
 To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
 
-## Citation
-
-This software uses the following open-source software:
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-
-For more information, please refer to the official website or license text of the respective software.
-
 ## License
 
-This repository is available under the [Dify Open Source License](LICENSE).
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

README_CN.md

@@ -1,60 +1,78 @@
-![](./images/describe-cn.jpg)
+[![](./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_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>
 
-####  [官方网站](https://dify.ai) •  [使用文档](https://docs.dify.ai/v/zh-hans)  · [部署文档](https://docs.dify.ai/v/zh-hans/getting-started/install-self-hosted)  ·  [FAQ](https://docs.dify.ai/v/zh-hans/getting-started/faq) • [Twitter](https://twitter.com/dify_ai) •  [Discord](https://discord.gg/FngNHpbcY7)
+<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** 是一个易用的 LLMOps 平台，基于不同的大型语言模型能力，让更多人可以简易地创建可持续运营的原生 AI 应用。Dify 提供多种类型应用的可视化编排，应用可开箱即用，也能以“后端即服务”的 API 提供服务。
+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。
 
-通过 Dify 创建的应用包含了：
+![](./images/demo.png)
 
-- 开箱即用的的 Web 站点，支持表单模式和聊天对话模式
-- 一套 API 即可包含插件、上下文增强等能力，替你省下了后端代码的编写工作
-- 可视化的对应用进行数据分析，查阅日志或进行标注
+## 使用云端服务
 
-https://github.com/langgenius/dify/assets/100913391/f6e658d5-31b3-4c16-a0af-9e191da4d0f6
+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。
 
-## 核心能力
-1. **模型支持：** 你可以在 Dify 上选择基于不同模型的能力来开发你的 AI 应用。Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前支持的模型供应商：
+## 为什么选择 Dify
 
-- [x] **OpenAI**：GPT4、GPT3.5-turbo、GPT3.5-turbo-16k、text-davinci-003 
-- [x] **Azure OpenAI Service**
-- [x] **Anthropic**：Claude2、Claude-instant
-- [x] **Replicate**
-- [x] **Hugging Face Hub**
-- [x] **ChatGLM**
-- [x] **Llama2**
-- [x] **MiniMax**
-- [x] **讯飞星火大模型**
-- [x] **文心一言**
-- [x] **通义千问**
+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。
+
+| 功能 | Dify.AI | Assistants API | LangChain |
+| --- | --- | --- | --- |
+| 编程方式 | 面向 API | 面向 API | 面向 Python 代码 |
+| 生态策略 | 开源 | 封闭且商用 | 开源 |
+| RAG 引擎 | 支持 | 支持 | 不支持 |
+| Prompt IDE | 包含 | 包含 | 没有 |
+| 支持的 LLMs | 丰富 | 仅 GPT | 丰富 |
+| 本地部署 | 支持 | 不支持 | 不适用 |
 
 
-我们为所有注册云端版的用户免费提供以下资源（登录 [dify.ai](https://cloud.dify.ai) 即可使用）：
-* 200 次 OpenAI 模型的消息调用额度，用于创建基于 OpenAI 模型的 AI 应用
-* 300 万 讯飞星火大模型 Token 的调用额度，用于创建基于讯飞星火大模型的 AI 应用
-* 100 万 MiniMax Token 的调用额度，用于创建基于 MiniMax 模型的 AI 应用
-2. **可视化编排 Prompt：** 通过界面化编写 prompt 并调试，只需几分钟即可发布一个 AI 应用。
-3. **文本 Embedding 处理（数据集）**：全自动完成文本预处理，使用你的数据作为上下文，无需理解晦涩的概念和技术处理。支持 PDF、txt 等文件格式，支持从 Notion、网页、API 同步数据。
-4. **基于 API 开发：** 后端即服务。您可以直接访问网页应用，也可以接入 API 集成到您的应用中，无需关注复杂的后端架构和部署过程。
-5. **插件能力：** Dify 「智聊」平台已支持网页浏览、Google 搜索、Wikipedia 查询等第一方插件，可在对话中实现联网搜索、分析网页内容、展示 AI 的推理过程。
-6. **团队 Workspace：** 团队成员可加入 Workspace 编辑、管理和使用团队内的 AI 应用。
-6. **数据标注与改进：** 可视化查阅 AI 应用日志并对数据进行改进标注，观测 AI 的推理过程，不断提高其性能。（Coming soon）
- -----------------------------
- ## Use cases
- * [几分钟创建一个带有业务数据的官网 AI 智能客服](https://docs.dify.ai/v/zh-hans/use-cases/create-an-ai-chatbot-with-business-data-in-minutes)
- * [构建一个 Notion AI 助手](https://docs.dify.ai/v/zh-hans/use-cases/build-an-notion-ai-assistant)
- * [创建 Midjoureny 提示词机器人](https://docs.dify.ai/v/zh-hans/use-cases/create-a-midjoureny-prompt-word-robot-with-zero-code)
+## 特点
 
+![](./images/models.png)
 
-## 使用云服务
+**1. LLM支持**：与 OpenAI 的 GPT 系列模型集成,或者与开源的 Llama2 系列模型集成。事实上，Dify支持主流的商业模型和开源模型(本地部署或基于 MaaS)。
 
-访问 [Dify.ai](https://cloud.dify.ai) 使用云端版。
+**2. Prompt IDE**：和团队一起在 Dify 协作，通过可视化的 Prompt 和应用编排工具开发 AI 应用。 支持无缝切换多种大型语言模型。
+
+**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. 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)
+- [常见问题](https://docs.dify.ai/getting-started/faq)
 
 ## 安装社区版
 
@@ -83,80 +101,29 @@ docker compose up -d
 
 ### 配置
 
-需要自定义配置，请参考我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件中的注释，并手动设置环境配置，修改完毕后，请再次执行 `docker-compose up -d`。
-
-## Roadmap
-
-我们正在开发中的功能：
-
-- **数据集**，支持更多的数据集，通过网页、API 同步内容。用户可以根据自己的数据源构建 AI 应用程序。
-- **插件**，我们将发布符合 ChatGPT 标准的插件，支持更多 Dify 自己的插件，支持用户自定义插件能力，以在应用程序中启用更多功能，例如以支持以目标为导向的分解推理任务。
-
-## Q&A
-
-**Q: 我能用 Dify 做什么？**
-
-A: Dify 是一个简单且能力丰富的 LLM 开发和运营工具。你可以用它搭建商用级应用，个人助理。如果你想自己开发应用，Dify 也能为你省下接入 OpenAI 的后端工作，使用我们逐步提供的可视化运营能力，你可以持续的改进和训练你的 GPT 模型。
-
-**Q: 如何使用 Dify “训练”自己的模型？**
-
-A: 一个有价值的应用由 Prompt Engineering、上下文增强和 Fine-tune 三个环节组成。我们创造了一种 Prompt 结合编程语言的 Hybrid 编程方式（类似一个模版引擎），你可以轻松的完成长文本嵌入，或抓取用户输入的一个 Youtube 视频的字幕——这些都将作为上下文提交给 LLMs 进行计算。我们十分注重应用的可运营性，你的用户在使用 App 期间产生的数据，可进行分析、标记和持续训练。以上环节如果没有好的工具支持，可能会消耗你大量的时间。
-
-**Q: 如果要创建一个自己的应用，我需要准备什么？**
-
-A: 我们假定你已经有了 OpenAI 或 Claude 等模型的 API Key，如果没有请去注册一个。如果你已经有了一些内容可以作为训练上下文，就太好了。
-
-**Q: 提供哪些界面语言？**
-
-A:  支持英文、中文，你可以为我们贡献语言包并提供维护支持。
+如果您需要自定义配置，请参考我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件中的注释，并手动设置环境配置。更改后，请再次运行 `docker-compose up -d`。您可以在我们的[文档](https://docs.dify.ai/getting-started/install-self-hosted/environments)中查看所有环境变量的完整列表。
 
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
 
-## 贡献
+## 社区与支持
 
-我们欢迎你为 Dify 作出贡献帮助 Dify 变得更好。我们欢迎各种方式的贡献，提交代码、问题、新想法、或者分享你基于 Dify 创建出的各种有趣有用的 AI 应用。同时，我们也欢迎你在不同的活动、研讨会、社交媒体上分享 Dify。
+我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
 
-### 贡献代码
-为了确保正确审查，所有代码贡献 - 包括来自具有直接提交更改权限的贡献者 - 都必须提交 PR 请求并在合并分支之前得到核心开发人员的批准。
+- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。
+- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
+- [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。
+- [Twitter](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。
+- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
+ - [微信]() 👉：扫描下方二维码，添加微信好友，备注 Dify，我们将邀请您加入 Dify 社区。  
+<img src="./images/wechat.png" alt="wechat" width="100"/>
 
-我们欢迎所有人提交 PR！如果您愿意提供帮助，可以在 [贡献指南](CONTRIBUTING_CN.md) 中了解有关如何为项目做出代码贡献的更多信息。
-
-### 提交问题或想法
-你可以通过 Dify 代码仓库新增 issues 来提交你的问题或想法。如遇到问题，请尽可能描述你遇到问题的操作步骤，以便我们更好地发现它。如果你对我们的产品有任何新想法，也欢迎向我们反馈，请尽可能多地分享你的见解，以便我们在社区中获得更多反馈和进一步讨论。
-
-### 分享你的应用
-我们鼓励所有社区成员分享他们基于 Dify 创造出的 AI 应用，它们可以是应用于不同情景或不同用户，这将有助于为希望基于 AI 能力创造的人们提供强大灵感！你可以通过 [Dify-user-case 仓库项目提交 issue](https://github.com/langgenius/dify-user-case) 来分享你的应用案例。
-
-### 向别人分享 Dify
-我们鼓励社区贡献者们积极展示你使用 Dify 的不同角度。你可以通过线下研讨会、博客或社交媒体上谈论或分享你使用 Dify 的任意功能，相信你独特的使用分享会给别人带来非常大的帮助！如果你需要任何指导帮助，欢迎联系我们 support@dify.ai ,你也可以在 twitter @Dify.AI 或在 [Discord 社区](https://discord.gg/FngNHpbcY7)交流来帮助你传播信息。
-
-### 帮助别人
-你还可以在 Discord、GitHub issues或其他社交平台上帮助需要帮助的人，指导别人解决使用过程中遇到的问题和分享使用经验。这也是个非常了不起的贡献！如果你希望成为 Dify 社区的维护者，请通过[Discord 社区](https://discord.gg/FngNHpbcY7) 联系官方团队或邮件联系我们 support@dify.ai.
-
-
-## 联系我们
-
-如果您有任何问题、建议或合作意向，欢迎通过以下方式联系我们：
-
-- 在我们的 [GitHub Repo](https://github.com/langgenius/dify) 上提交 Issue 或 PR
-- 在我们的 [Discord 社区](https://discord.gg/FngNHpbcY7) 上加入讨论
-- 发送邮件至 hello@dify.ai
-
-## 安全
+## 安全问题
 
 为了保护您的隐私，请避免在 GitHub 上发布安全问题。发送问题至 security@dify.ai，我们将为您做更细致的解答。
 
-## Citation
-
-本软件使用了以下开源软件：
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-
-更多信息，请参考相应软件的官方网站或许可证文本。
-
 ## 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

@@ -1,41 +1,88 @@
-![](./images/describe-en.png)
+[![](./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_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
-[Sitio web](https://dify.ai) • [Documentación](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<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>
 
-**Dify** es una plataforma LLMOps fácil de usar diseñada para capacitar a más personas para que creen aplicaciones sostenibles basadas en IA. Con orquestación visual para varios tipos de aplicaciones, Dify ofrece aplicaciones listas para usar que también pueden funcionar como APIs de Backend-as-a-Service. Unifica tu proceso de desarrollo con una API para la integración de complementos y conjuntos de datos, y agiliza tus operaciones utilizando una interfaz única para la ingeniería de indicaciones, análisis visual y mejora continua.
+<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>
 
-Las aplicaciones creadas con Dify incluyen:
+**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.**
 
-- Sitios web listos para usar que admiten el modo de formulario y el modo de conversación por chat.
-- Una API única que abarca capacidades de complementos, mejora de contexto y más, lo que te ahorra esfuerzo de programación en el backend.
-- Análisis visual de datos, revisión de registros y anotación para aplicaciones.
+![](./images/demo.png)
 
-Dify es compatible con Langchain, lo que significa que gradualmente admitiremos múltiples LLMs, actualmente compatibles con:
+## Utilizar Servicios en la Nube
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo (ChatGPT)
-- GPT-4
+Usar [Dify.AI Cloud](https://dify.ai) proporciona todas las capacidades de la versión de código abierto, e incluye un complemento de 200 créditos de prueba para GPT.
 
-## Usar servicios en la nube
+## Por qué Dify
 
-Visita [Dify.ai](https://dify.ai)
+Dify se caracteriza por su neutralidad de modelo y es un conjunto tecnológico completo e ingenierizado, en comparación con las bibliotecas de desarrollo codificadas como LangChain. A diferencia de la API de Assistants de OpenAI, Dify permite el despliegue local completo de los servicios.
+
+| Característica | Dify.AI | API de Assistants | LangChain |
+|----------------|---------|------------------|-----------|
+| **Enfoque de Programación** | Orientado a API | Orientado a API | Orientado a Código en Python |
+| **Estrategia del Ecosistema** | Código Abierto | Cerrado y Comercial | Código Abierto |
+| **Motor RAG** | Soportado | Soportado | No Soportado |
+| **IDE de Prompts** | Incluido | Incluido | Ninguno |
+| **LLMs Soportados** | Gran Variedad | Solo GPT | Gran Variedad |
+| **Despliegue Local** | Soportado | No Soportado | No Aplicable |
+
+## Características
+
+![](./images/models.png)
+
+**1. Soporte LLM**: Integración con la familia de modelos GPT de OpenAI, o los modelos de la familia Llama2 de código abierto. De hecho, Dify soporta modelos comerciales convencionales y modelos de código abierto (desplegados localmente o basados en MaaS).
+
+**2. IDE de Prompts**: Orquestación visual de aplicaciones y servicios basados en LLMs con tu equipo.
+
+**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. 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)
+- [Preguntas Frecuentes](https://docs.dify.ai/getting-started/faq)
 
 ## Instalar la Edición Comunitaria
 
-### Requisitos del sistema
+### Requisitos del Sistema
 
-Antes de instalar Dify, asegúrate de que tu máquina cumple con los siguientes requisitos mínimos del sistema:
+Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
 
-- CPU >= 2 Core
+- CPU >= 2 núcleos
 - RAM >= 4GB
 
-### Inicio rápido
+### Inicio Rápido
 
 La forma más sencilla de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
 
@@ -44,80 +91,34 @@ cd docker
 docker compose up -d
 ```
 
-Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador desde [http://localhost/install](http://localhost/install) y comenzar el proceso de instalación de inicialización.
+Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de instalación de inicialización.
 
-### Helm Chart
+### Gráfico Helm
 
-Un gran agradecimiento a @BorisPolonsky por proporcionarnos una versión de [Helm Chart](https://helm.sh/), que permite desplegar Dify en Kubernetes.
-Puede ir a https://github.com/BorisPolonsky/dify-helm para obtener información de despliegue.
+Un gran agradecimiento a @BorisPolonsky por proporcionarnos una versión del [Gráfico Helm](https://helm.sh/), que permite implementar Dify en Kubernetes. Puedes visitar https://github.com/BorisPolonsky/dify-helm para obtener información sobre la implementación.
 
 ### Configuración
 
-Si necesitas personalizar la configuración, consulta los comentarios en nuestro archivo [docker-compose.yml](docker/docker-compose.yaml) y configura manualmente la configuración del entorno. Después de realizar los cambios, ejecuta nuevamente 'docker-compose up -d'.
+Si necesitas personalizar la configuración, consulta los comentarios en nuestro archivo [docker-compose.yml](docker/docker-compose.yaml) y configura manualmente la configuración del entorno. Después de realizar los cambios, ejecuta nuevamente `docker-compose up -d`. Puedes ver la lista completa de variables de entorno en nuestra [documentación](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-## Hoja de ruta
+## Historial de Estrellas
 
-Funciones en desarrollo:
+[![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-- **Conjuntos de datos**, admitiendo más conjuntos de datos, por ejemplo, sincronización de contenido desde Notion o páginas web.
-Admitiremos más conjuntos de datos, incluidos texto, páginas web e incluso contenido de Notion. Los usuarios pueden construir aplicaciones de IA basadas en sus propias fuentes de datos
-- **Complementos**, introduciendo complementos estándar de ChatGPT para aplicaciones, o utilizando complementos producidos por Dify.
-Lanzaremos complementos que cumplan con el estándar de ChatGPT, o nuestros propios complementos de Dify para habilitar más capacidades en las aplicaciones.
-- **Modelos de código abierto**, por ejemplo, adoptar Llama como proveedor de modelos o para un ajuste adicional.
-Trabajaremos con excelentes modelos de código abierto como Llama, proporcionándolos como opciones de modelos en nuestra plataforma o utilizándolos para un ajuste adicional.
+## Comunidad y Soporte
 
-## Preguntas y respuestas
+Te damos la bienvenida a contribuir a Dify para ayudar a hacer que Dify sea mejor de diversas maneras, enviando código, informando problemas, proponiendo nuevas ideas o compartiendo las aplicaciones de inteligencia artificial interesantes y útiles que hayas creado basadas en Dify. Al mismo tiempo, también te invitamos a compartir Dify en diferentes eventos, conferencias y redes sociales.
 
-**P: ¿Qué puedo hacer con Dify?**
+- [Problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores y problemas que encuentres al usar Dify.AI, consulta la [Guía de Contribución](CONTRIBUTING.md).
+- [Soporte por Correo Electrónico](mailto:hello@dify.ai?subject=[GitHub]Preguntas%20sobre%20Dify). Lo mejor para: preguntas que tengas sobre el uso de Dify.AI.
+- [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y socializar con la comunidad.
+- [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y socializar con la comunidad.
+- [Licencia Comercial](mailto:business@dify.ai?subject=[GitHub]Consulta%20de%20Licencia%20Comercial). Lo mejor para: consultas comerciales sobre la licencia de Dify.AI para uso comercial.
 
-R: Dify es una herramienta de desarrollo y operaciones de LLM, simple pero poderosa. Puedes usarla para construir aplicaciones de calidad comercial y asistentes personales. Si deseas desarrollar tus propias aplicaciones, LangDifyGenius puede ahorrarte trabajo en el backend al integrar con OpenAI y ofrecer capacidades de operaciones visuales, lo que te permite mejorar y entrenar continuamente tu modelo GPT.
-
-**P: ¿Cómo uso Dify para "entrenar" mi propio modelo?**
-
-R: Una aplicación valiosa consta de Ingeniería de indicaciones, mejora de contexto y ajuste fino. Hemos creado un enfoque de programación híbrida que combina las indicaciones con lenguajes de programación (similar a un motor de plantillas), lo que facilita la incorporación de texto largo o la captura de subtítulos de un video de YouTube ingresado por el usuario, todo lo cual se enviará como contexto para que los LLM lo procesen. Damos gran importancia a la operabilidad de la aplicación, con los datos generados por los usuarios durante el uso de la aplicación disponibles para análisis, anotación y entrenamiento continuo. Sin las herramientas adecuadas, estos pasos pueden llevar mucho tiempo.
-
-**P: ¿Qué necesito preparar si quiero crear mi propia aplicación?**
-
-R: Suponemos que ya tienes una clave de API de OpenAI; si no la tienes, por favor regístrate. ¡Si ya tienes contenido que pueda servir como contexto de entrenamiento, eso es genial!
-
-**P: ¿Qué idiomas de interfaz están disponibles?**
-
-R: Actualmente se admiten inglés y chino, y puedes contribuir con paquetes de idiomas.
-
-## Historial de estrellas
-
-[![Gráfico de historial de estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## Contáctanos
-
-Si tienes alguna pregunta, sugerencia o consulta sobre asociación, no dudes en contactarnos a través de los siguientes canales:
-
-- Presentar un problema o una solicitud de extracción en nuestro repositorio de GitHub.
-- Únete a la discusión en nuestra comunidad de [Discord](https://discord.gg/FngNHpbcY7).
-- Envía un correo electrónico a hello@dify.ai.
-
-¡Estamos ansiosos por ayudarte y crear juntos aplicaciones de IA más divertidas y útiles!
-
-## Contribuciones
-
-Para garantizar una revisión adecuada, todas las contribuciones de código, incluidas las de los colaboradores con acceso directo a los compromisos, deben enviarse mediante solicitudes de extracción y ser aprobadas por el equipo principal de
-
- desarrollo antes de fusionarse.
-
-¡Agradecemos todas las solicitudes de extracción! Si deseas ayudar, consulta la [Guía de Contribución](CONTRIBUTING.md) para obtener más información sobre cómo comenzar.
-
-## Seguridad
+## Divulgación de Seguridad
 
 Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
 
-## Citación
-
-Este software utiliza el siguiente software de código abierto:
-
-- Chase, H. (2022). LangChain [Software de computadora]. https://github.com/hwchase17/langchain
-
-Para obtener más información, consulta el sitio web oficial o el texto de la licencia del software correspondiente.
-
 ## 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

@@ -1,122 +1,130 @@
-![](./images/describe-en.png)
+[![](./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_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
-[Web サイト](https://dify.ai) • [ドキュメント](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<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** は、より多くの人々が持続可能な AI ネイティブアプリケーションを作成できるように設計された、使いやすい LLMOps プラットフォームです。様々なアプリケーションタイプに対応したビジュアルオーケストレーションにより Dify は Backend-as-a-Service API としても機能する、すぐに使えるアプリケーションを提供します。プラグインやデータセットを統合するための1つの API で開発プロセスを統一し、プロンプトエンジニアリング、ビジュアル分析、継続的な改善のための1つのインターフェイスを使って業務を合理化します。
+"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。"
 
-Difyで作成したアプリケーションは以下の通りです:
+Please note that translating complex technical terms can sometimes result in slight variations in meaning due to differences in language nuances.
 
-フォームモードとチャット会話モードをサポートする、すぐに使える Web サイト
-プラグイン機能、コンテキストの強化などを網羅する単一の API により、バックエンドのコーディングの手間を省きます。
-アプリケーションの視覚的なデータ分析、ログレビュー、アノテーションが可能です。
-Dify は LangChain と互換性があり、複数の LLM を徐々にサポートします:
-
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
+![](./images/demo.png)
 
 ## クラウドサービスの利用
 
-[Dify.ai](https://dify.ai) をご覧ください
+[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。
 
-## Community Edition のインストール
+## Difyの利点
+
+Difyはモデルニュートラルであり、LangChainのようなハードコードされた開発ライブラリと比較して、完全にエンジニアリングされた技術スタックを特徴としています。OpenAIのAssistants APIとは異なり、Difyではサービスの完全なローカルデプロイメントが可能です。
+
+| 機能 | Dify.AI | Assistants API | LangChain |
+|---------|---------|----------------|-----------|
+| **プログラミングアプローチ** | API指向 | API指向 | Pythonコード指向 |
+| **エコシステム戦略** | オープンソース | 閉鎖的かつ商業的 | オープンソース |
+| **RAGエンジン** | サポート済み | サポート済み | 非サポート |
+| **プロンプトIDE** | 含まれる | 含まれる | なし |
+| **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)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
+
+
+## コミュニティエディションのインストール
 
 ### システム要件
 
-Dify をインストールする前に、お使いのマシンが以下の最低システム要件を満たしていることを確認してください:
+Difyをインストールする前に、以下の最低限のシステム要件を満たしていることを確認してください：
 
-- CPU >= 1 Core
+- CPU >= 2コア
 - RAM >= 4GB
 
 ### クイックスタート
 
-Dify サーバーを起動する最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml) ファイルを実行することです。インストールコマンドを実行する前に、[Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がお使いのマシンにインストールされていることを確認してください:
+Difyサーバーを始める最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml) ファイルを実行することです。インストールコマンドを実行する前に、マシンに [Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がインストールされていることを確認してください：
 
 ```bash
 cd docker
 docker compose up -d
 ```
 
-実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストール作業を開始することができます。
+実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストールプロセスを開始できます。
 
 ### Helm Chart
 
-@BorisPolonsky に大感謝します。彼は Dify を Kubernetes 上にデプロイするための [Helm Chart](https://helm.sh/) バージョンを提供してくれました。
+@BorisPolonskyによる[Helm Chart](https://helm.sh/) バージョンを提供してくれて、大変感謝しています。これにより、DifyはKubernetes上にデプロイすることができます。
 デプロイ情報については、https://github.com/BorisPolonsky/dify-helm をご覧ください。
 
-### 構成
+### 設定
 
-カスタマイズが必要な場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、手動で環境設定をお願いします。変更後、再度 'docker-compose up -d' を実行してください。
-
-## ロードマップ
-
-開発中の機能:
-
-- **データセット**, Notionやウェブページからのコンテンツ同期など、より多くのデータセットをサポートします
-テキスト、ウェブページ、さらには Notion コンテンツなど、より多くのデータセットをサポートする予定です。ユーザーは、自分のデータソースをもとに AI アプリケーションを構築することができます。
-- **プラグイン**, アプリケーションに ChatGPT プラグイン標準のプラグインを導入する、または Dify 制作のプラグインを利用する
-今後、ChatGPT 規格に準拠したプラグインや、ディファイ独自のプラグインを公開し、より多くの機能をアプリケーションで実現できるようにします。
-- **オープンソースモデル**, 例えばモデルプロバイダーとして Llama を採用したり、さらにファインチューニングを行う
-Llama のような優れたオープンソースモデルを、私たちのプラットフォームのモデルオプションとして提供したり、さらなる微調整のために使用したりすることで、協力していきます。
+設定をカスタマイズする必要がある場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、環境設定を手動で行ってください。変更を行った後は、もう一度 `docker-compose up -d` を実行してください。環境変数の完全なリストは、[ドキュメント](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
 
 
-## Q&A
-
-**Q: Dify で何ができるのか？**
-
-A: Dify はシンプルでパワフルな LLM 開発・運用ツールです。商用グレードのアプリケーション、パーソナルアシスタントを構築するために使用することができます。独自のアプリケーションを開発したい場合、LangDifyGenius は OpenAI と統合する際のバックエンド作業を省き、視覚的な操作機能を提供し、GPT モデルを継続的に改善・訓練することが可能です。
-
-**Q: Dify を使って、自分のモデルを「トレーニング」するにはどうすればいいのでしょうか？**
-
-A: プロンプトエンジニアリング、コンテキスト拡張、ファインチューニングからなる価値あるアプリケーションです。プロンプトとプログラミング言語を組み合わせたハイブリッドプログラミングアプローチ（テンプレートエンジンのようなもの）で、長文の埋め込みやユーザー入力の YouTube 動画からの字幕取り込みなどを簡単に実現し、これらはすべて LLM が処理するコンテキストとして提出される予定です。また、アプリケーションの操作性を重視し、ユーザーがアプリケーションを使用する際に生成したデータを分析、アノテーション、継続的なトレーニングに利用できるようにしました。適切なツールがなければ、これらのステップに時間がかかることがあります。
-
-**Q: 自分でアプリケーションを作りたい場合、何を準備すればよいですか？**
-
-A: すでに OpenAI API Key をお持ちだと思いますが、お持ちでない場合はご登録ください。もし、すでにトレーニングのコンテキストとなるコンテンツをお持ちでしたら、それは素晴らしいことです！
-
-**Q: インターフェイスにどの言語が使えますか？**
-
-A: 現在、英語と中国語に対応しており、言語パックを寄贈することも可能です。
-
-## Star ヒストリー
+## スターヒストリー
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-## お問合せ
+## コミュニティとサポート
 
-ご質問、ご提案、パートナーシップに関するお問い合わせは、以下のチャンネルからお気軽にご連絡ください:
+Difyに貢献していただき、コードの提出、問題の報告、新しいアイデアの提供、またはDifyを基に作成した興味深く有用なAIアプリケーションの共有により、Difyをより良いものにするお手伝いを歓迎します。同時に、さまざまなイベント、会議、ソーシャルメディアでDifyを共有することも歓迎します。
 
-- GitHub Repo で Issue や PR を提出する
-- [Discord](https://discord.gg/FngNHpbcY7) コミュニティで議論に参加する。
-- hello@dify.ai にメールを送信します
-
-私たちは、皆様のお手伝いをさせていただき、より楽しく、より便利な AI アプリケーションを一緒に作っていきたいと思っています！
-
-## コントリビュート
-
-適切なレビューを行うため、コミットへの直接アクセスが可能なコントリビュータを含むすべてのコードコントリビュータは、プルリクエストで提出し、マージされる前にコア開発チームによって承認される必要があります。
-
-私たちはすべてのプルリクエストを歓迎します！協力したい方は、[コントリビューションガイド](CONTRIBUTING.md) をチェックしてみてください。
+- [GitHub Issues](https://github.com/langgenius/dify/issues)。最適な使用法：Dify.AIの使用中に遭遇するバグやエラー、[貢献ガイド](CONTRIBUTING.md)を参照。
+- [Email サポート](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。最適な使用法：Dify.AIの使用に関する質問。
+- [Discord](https://discord.gg/FngNHpbcY7)。最適な使用法：アプリケーションの共有とコミュニティとの交流。
+- [Twitter](https://twitter.com/dify_ai)。最適な使用法：アプリケーションの共有とコミュニティとの交流。
+- [ビジネスライセンス](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。最適な使用法：Dify.AIを商業利用するためのビジネス関連の問い合わせ。
 
 ## セキュリティ
 
 プライバシー保護のため、GitHub へのセキュリティ問題の投稿は避けてください。代わりに、あなたの質問を security@dify.ai に送ってください。より詳細な回答を提供します。
 
-## 引用
-
-本ソフトウェアは、以下のオープンソースソフトウェアを使用しています:
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-
-詳しくは、各ソフトウェアの公式サイトまたはライセンス文をご参照ください。
-
 ## 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

@@ -0,0 +1,119 @@
+[![](./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>
+
+**Dify** Hoch LLM qorwI' pIqoDvam pagh laHta' je **100,000** pIqoDvamvam Dify.AI De'wI'. Dify leghpu' Backend chu' a Service teH LLMOps vItlhutlh, generative AI-native pIqoD teq wa'vam, vIyoD Built-in RAG engine. Dify, **'ej chenmoHmoH Hoch 'oHna' Assistant API 'ej GPTmey HoStaHbogh LLMmey.**
+
+![](./images/demo.png)
+
+## ngIl QaQ
+
+[Dify.AI ngIl](https://dify.ai) pIm neHlaH 'ej ghaH. cha'logh wa' DIvI' 200 GPT trial credits.
+
+## Dify WovmoH
+
+Dify Daq rIn neutrality 'ej Hoch, LangChain tInHar HubwI'. maH Daqbe'law' Qawqar, OpenAI's Assistant API Daq local neH deployment.
+
+| Qo'logh | Dify.AI | Assistants API | LangChain |
+|---------|---------|----------------|-----------|
+| **qet QaS** | API-oriented | API-oriented | Python Code-oriented |
+| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source |
+| **RAG Engine** | Ha'qu' | Ha'qu' | ghoS Ha'qu' |
+| **Prompt IDE** | jaH Include | jaH Include | qeylIS qaq |
+| **qet LLMmey** | bo'Degh Hoch | GPTmey tIn | bo'Degh Hoch |
+| **local deployment** | Ha'qu' | tInHa'qu' | tInHa'qu' ghogh |
+
+## ruch
+
+![](./images/models.png)
+
+**1. LLM tIq**: OpenAI's GPT Hur nISmoHvam neH vIngeH, wa' Llama2 Hur nISmoHvam. Heghlu'lu'pu' Dify mIw 'oH choH qay'be'.Daq commercial Hurmey 'ej Open Source Hurmey (maqtaHvIS pagh locally neH neH deployment HoSvam).
+
+**2. Prompt IDE**: cha'logh wa' LLMmey Hoch janlu'pu' 'ej lughpu' choH qay'be'.
+
+**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. 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)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
+
+## Community Edition tu' yo'
+
+### System Qab
+
+Dify yo' yo' qaqmeH SuS chenmoH 'oH qech!
+
+- CPU >= 2 Cores
+- RAM >= 4GB
+
+### Quick Start
+
+Dify server luHoHtaHlu' vIngeH lo'laHbe'chugh vIyoD [docker-compose.yml](docker/docker-compose.yaml) QorwI'ghach. toH yItlhutlh chenmoH luH!chugh 'ay' vaj vIneHmeH, 'ej [Docker](https://docs.docker.com/get-docker/) 'ej [Docker Compose](https://docs.docker.com/compose/install/) vaj 'oH 'e' vIneHmeH:
+
+```bash
+cd docker
+docker compose up -d
+```
+
+luHoHtaHmeH HoHtaHvIS, Dify dashboard vIneHmeH vIngeH lI'wI' [http://localhost/install](http://localhost/install) 'ej 'oH initialization 'e' vIneHmeH.
+
+### Helm Chart
+
+@BorisPolonsky Dify wIq tIq ['ay'var (Helm Chart)](https://helm.sh/) version Hur yIn chu' Dify luHoHchu'. Heghlu'lu' vIneHmeH [https://github.com/BorisPolonsky/dify-helm](https://github.com/BorisPolonsky/dify-helm) 'ej vaj QaS deployment information.
+
+### veS config
+
+chenmoHDI' config lo'taH ghaH, vItlhutlh HIq wIgharghbe'lu'pu'. toH lo'taHvIS pagh vay' vIneHmeH, 'ej `docker-compose up -d` wa'DIch. tIqmoHmeH list full wa' lo'taHvo'lu'pu' ghaH [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+## tIng qem
+
+[![tIng qem Hur Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## choHmoH 'ej vItlhutlh
+
+Dify choHmoH je mIw Dify puqloD, Dify ghaHta'bogh vItlhutlh, HurDI' code, ghItlh, ghItlh qo'lu'pu'pu' qej. tIqmeH, Hurmey je, Dify Hur tIqDI' woDDaj, DuD QangmeH 'ej HInobDaq vItlhutlh HImej Dify'e'.
+
+- [GitHub vItlhutlh](https://github.com/langgenius/dify/issues). Hurmey: bugs 'ej errors Dify.AI tIqmeH. yImej [Contribution Guide](CONTRIBUTING.md).
+- [Email QaH](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Hurmey: questions vItlhutlh Dify.AI chaw'.
+- [Discord](https://discord.gg/FngNHpbcY7). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
+- [Twitter](https://twitter.com/dify_ai). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
+- [Business License](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Hurmey: qurgh vItlhutlh Hurmey Dify.AI tIqbe'law'.
+
+## bIQDaqmey bom
+
+taghlI' vIngeH'a'? pong security 'oH posting GitHub. yItlhutlh, toH security@dify.ai 'ej vIngeH'a'.
+
+## License
+
+ghItlh puqloD chenmoH [Dify vItlhutlh Hur](LICENSE), ghaH nIvbogh Apache 2.0.
+

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
@@ -65,6 +64,7 @@ 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
@@ -85,6 +85,7 @@ MULTIMODAL_SEND_IMAGE_FORMAT=base64
 MAIL_TYPE=
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
 RESEND_API_KEY=
+RESEND_API_URL=https://api.resend.com
 
 # Sentry configuration
 SENTRY_DSN=
@@ -100,29 +101,23 @@ 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_API_KEY=
-STRIPE_WEBHOOK_SECRET=
+ETL_TYPE=dify
+UNSTRUCTURED_API_URL=

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

@@ -53,12 +53,3 @@
    ```
 7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
 8. If you need to debug local async processing, you can run `celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail`, celery can do dataset importing and other async tasks.
-
-8. Start frontend
-
-   You can start the frontend by running `npm install && npm run dev` in web/ folder, or you can use docker to start the frontend, for example:
-
-   ```
-   docker run -it -d --platform linux/amd64 -p 3000:3000 -e EDITION=SELF_HOSTED -e CONSOLE_URL=http://127.0.0.1:5001 --name web-self-hosted langgenius/dify-web:latest
-   ```
-   This will start a dify frontend, now you are all set, happy coding!

api/app.py

@@ -6,36 +6,45 @@ 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 logging
 import json
+import logging
 import threading
+import time
+import warnings
 
-from flask import Flask, request, Response
-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 events import event_handlers
+from extensions import (ext_celery, ext_code_based_extension, 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 flask import Flask, Response, request
+from flask_cors import CORS
+from libs.passport import PassportService
 # 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
+from services.account_service import AccountService
+
 # 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
+if os.name == "nt":
+    os.system('tzutil /s "UTC"')    
+else:
+    os.environ['TZ'] = 'UTC'
+    time.tzset()
+
 
 class DifyApp(Flask):
     pass
@@ -71,8 +80,6 @@ def create_app(test_config=None) -> Flask:
     register_blueprints(app)
     register_commands(app)
 
-    hosted.init_app(app)
-
     return app
 
 
@@ -87,8 +94,8 @@ 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
@@ -98,13 +105,18 @@ 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')
 
@@ -112,6 +124,7 @@ def load_user_from_request(request_from_flask_login):
     else:
         return None
 
+
 @login_manager.unauthorized_handler
 def unauthorized_handler():
     """Handle unauthorized requests."""
@@ -123,10 +136,10 @@ 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

@@ -1,36 +1,21 @@
-import datetime
+import base64
 import json
-import math
-import random
-import string
-import threading
-import time
-import uuid
+import secrets
 
 import click
-from tqdm import tqdm
-from flask import current_app, Flask
-from langchain.embeddings import OpenAIEmbeddings
-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.model_manager import ModelManager
+from core.model_runtime.entities.model_entities import ModelType
 from extensions.ext_database import db
+from flask import current_app
+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
+from models.model import Account
+from models.provider import Provider, ProviderModel
+from werkzeug.exceptions import NotFound
 
 
 @click.command('reset-password', help='Reset the account password.')
@@ -38,15 +23,22 @@ 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:
@@ -72,15 +64,22 @@ 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:
@@ -100,6 +99,11 @@ 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
@@ -119,201 +123,11 @@ def reset_encrypt_key_pair():
                            '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'))
-
-
-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():
+    """
+    Migrate other vector database datas to Qdrant.
+    """
     click.echo(click.style('Start create qdrant indexes.', fg='green'))
     create_count = 0
 
@@ -325,6 +139,8 @@ def create_qdrant_indexes():
         except NotFound:
             break
 
+        model_manager = ModelManager()
+
         page += 1
         for dataset in datasets:
             if dataset.index_struct_dict:
@@ -332,33 +148,18 @@ def create_qdrant_indexes():
                     try:
                         click.echo('Create dataset qdrant index: {}'.format(dataset.id))
                         try:
-                            embedding_model = ModelFactory.get_embedding_model(
+                            embedding_model = model_manager.get_model_instance(
                                 tenant_id=dataset.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 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)
+                            continue
                         embeddings = CacheEmbedding(embedding_model)
 
-                        from core.index.vector_index.qdrant_vector_index import QdrantVectorIndex, QdrantConfig
+                        from core.index.vector_index.qdrant_vector_index import QdrantConfig, QdrantVectorIndex
 
                         index = QdrantVectorIndex(
                             dataset=dataset,
@@ -390,344 +191,8 @@ def create_qdrant_indexes():
     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'))
-
-
-def deal_dataset_vector(flask_app: Flask, dataset: Dataset, normalization_count: list):
-    with flask_app.app_context():
-        try:
-            click.echo('restore dataset 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)
-            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:
-                        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])
-                    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)
-
-                    # click.secho(f"Updated data {data.id}, pre_prompt: {data.pre_prompt}, user_input_form: {data.user_input_form}", fg='green')
-
-                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.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))
-
-
 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)

api/config.py

@@ -1,12 +1,8 @@
 # -*- 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 = {
@@ -15,6 +11,7 @@ DEFAULTS = {
     'DB_HOST': 'localhost',
     'DB_PORT': '5432',
     'DB_DATABASE': 'dify',
+    'DB_CHARSET': '',
     'REDIS_HOST': 'localhost',
     'REDIS_PORT': '6379',
     'REDIS_DB': '0',
@@ -25,7 +22,6 @@ 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': '',
     'STORAGE_TYPE': 'local',
     'STORAGE_LOCAL_PATH': 'storage',
@@ -38,29 +34,29 @@ 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_PAID_ENABLED': 'False',
-    'HOSTED_OPENAI_PAID_INCREASE_QUOTA': 1,
     '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': '',
-    'TENANT_DOCUMENT_COUNT': 100,
     'CLEAN_DAY_SETTING': 30,
     'UPLOAD_FILE_SIZE_LIMIT': 15,
     'UPLOAD_FILE_BATCH_LIMIT': 5,
     'UPLOAD_IMAGE_FILE_SIZE_LIMIT': 10,
     'OUTPUT_MODERATION_BUFFER_SIZE': 300,
-    'MULTIMODAL_SEND_IMAGE_FORMAT': 'base64'
+    'MULTIMODAL_SEND_IMAGE_FORMAT': 'base64',
+    'INVITE_EXPIRY_HOURS': 72,
+    'BILLING_ENABLED': 'False',
+    'CAN_REPLACE_LOGO': 'False',
+    'ETL_TYPE': 'dify',
 }
 
 
@@ -69,7 +65,8 @@ 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):
@@ -90,7 +87,7 @@ class Config:
         # ------------------------
         # General Configurations.
         # ------------------------
-        self.CURRENT_VERSION = "0.3.30"
+        self.CURRENT_VERSION = "0.5.3"
         self.COMMIT_SHA = get_env('COMMIT_SHA')
         self.EDITION = "SELF_HOSTED"
         self.DEPLOY_ENV = get_env('DEPLOY_ENV')
@@ -99,35 +96,25 @@ 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`.
@@ -148,10 +135,12 @@ class Config:
         # ------------------------
         db_credentials = {
             key: get_env(key) for key in
-            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE']
+            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
         }
 
-        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}"
+        db_extras = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""
+
+        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
         self.SQLALCHEMY_ENGINE_OPTIONS = {
             'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE')),
             'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
@@ -198,6 +187,7 @@ class Config:
         # 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')
@@ -218,6 +208,12 @@ 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')
+        
+        # ------------------------
+        # Workpace Configurations.
+        # ------------------------
+        self.INVITE_EXPIRY_HOURS = int(get_env('INVITE_EXPIRY_HOURS'))
 
         # ------------------------
         # Sentry Configurations.
@@ -234,7 +230,6 @@ class Config:
         self.MULTIMODAL_SEND_IMAGE_FORMAT = get_env('MULTIMODAL_SEND_IMAGE_FORMAT')
 
         # Dataset Configurations.
-        self.TENANT_DOCUMENT_COUNT = get_env('TENANT_DOCUMENT_COUNT')
         self.CLEAN_DAY_SETTING = get_env('CLEAN_DAY_SETTING')
 
         # File upload Configurations.
@@ -255,33 +250,36 @@ 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_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_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')
+
 
 class CloudEditionConfig(Config):
 
@@ -295,6 +293,3 @@ 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 +1,327 @@
+
+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']
+
+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',
+}
+
+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": ""
+            }
+        }
+    ],
+}
+
+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/constants/model_template.py

@@ -1,6 +1,6 @@
 import json
 
-from models.model import AppModelConfig, App
+from models.model import App, AppModelConfig
 
 model_templates = {
     # completion default mode
@@ -96,258 +96,3 @@ model_templates = {
 }
 
 
-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

@@ -1,30 +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
-
+from .auth import activate, data_source_oauth, login, oauth
+# Import billing controllers
+from .billing import billing
 # 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
-
+from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing
 # 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 .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

@@ -1,15 +1,14 @@
 import os
 from functools import wraps
 
-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 flask import request
+from flask_restful import Resource, reqparse
+from models.model import App, InstalledApp, RecommendedApp
+from werkzeug.exceptions import NotFound, Unauthorized
 
 
 def admin_required(view):

api/controllers/console/apikey.py

@@ -1,17 +1,16 @@
-from flask_login import current_user
-from libs.login import login_required
 import flask_restful
-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 flask_login import current_user
+from flask_restful import Resource, fields, marshal_with
+from libs.helper import TimestampField
+from libs.login import login_required
 from models.dataset import Dataset
+from models.model import ApiToken, App
+from werkzeug.exceptions import Forbidden
 
 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 +61,7 @@ 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 +100,7 @@ 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

@@ -1,11 +1,11 @@
-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 flask_restful import Resource, reqparse
 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 +1,289 @@
+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,
+                                      annotation_hit_history_list_fields, annotation_list_fields)
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, marshal_with, reqparse
+from libs.login import login_required
+from services.annotation_service import AppAnnotationService
+from werkzeug.exceptions import Forbidden
+
+
+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

@@ -3,25 +3,28 @@ 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 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
-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 controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+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 flask import current_app
+from flask_login import current_user
+from flask_restful import Resource, abort, inputs, marshal_with, reqparse
+from libs.login import login_required
 from models.model import App, AppModelConfig, Site
+from models.tools import ApiToolProvider
 from services.app_model_config_service import AppModelConfigService
+from werkzeug.exceptions import Forbidden
 
 
 def _get_app(app_id, tenant_id):
@@ -42,14 +45,31 @@ 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
 
@@ -57,54 +77,70 @@ class AppListApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(app_detail_fields)
+    @cloud_edition_billing_resource_check('apps')
     def post(self):
         """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:
+                model_manager = ModelManager()
+                model_instance = model_manager.get_default_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    model_type=ModelType.LLM
+                )
+
+                if not model_instance:
                     raise ProviderNotInitializeError(
                         f"No Default System Reasoning Model available. Please configure "
                         f"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"] = model_instance.provider
+                    model_config_dict["model"]["name"] = model_instance.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(
@@ -128,21 +164,21 @@ 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']
@@ -175,7 +211,7 @@ class AppListApi(Resource):
         app_was_created.send(app)
 
         return app, 201
-
+    
 
 class AppTemplateApi(Resource):
 
@@ -190,7 +226,7 @@ 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}
 
@@ -215,7 +251,7 @@ 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 +1,24 @@
 # -*- coding:utf-8 -*-
 import logging
 
-from flask import request
-from libs.login import login_required
-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 core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from flask import request
 from flask_restful import Resource
+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)
+from werkzeug.exceptions import InternalServerError
 
 
 class ChatMessageAudioApi(Resource):
@@ -33,9 +32,9 @@ class ChatMessageAudioApi(Resource):
         file = request.files['file']
 
         try:
-            response = AudioService.transcript(
+            response = AudioService.transcript_asr(
                 tenant_id=app_model.tenant_id,
-                file=file,
+                file=file
             )
 
             return response
@@ -56,14 +55,55 @@ 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.")
             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'],
+                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(ChatMessageAudioApi, '/apps/<uuid:app_id>/audio-to-text')
+api.add_resource(ChatMessageTextApi, '/apps/<uuid:app_id>/text-to-audio')

api/controllers/console/app/completion.py

@@ -4,25 +4,24 @@ import logging
 from typing import Generator, Union
 
 import flask_login
-from flask import Response, stream_with_context
-from libs.login import login_required
-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 libs.helper import uuid_value
+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 flask import Response, stream_with_context
 from flask_restful import Resource, reqparse
-
+from libs.helper import uuid_value
+from libs.login import login_required
 from services.completion_service import CompletionService
+from werkzeug.exceptions import InternalServerError, NotFound
 
 
 # define completion message api for user
@@ -56,7 +55,7 @@ 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 +74,8 @@ 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 +95,7 @@ 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 +130,7 @@ 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 +149,8 @@ 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:
@@ -161,35 +158,13 @@ class ChatMessageApi(Resource):
             raise InternalServerError()
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
+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 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"
+            for chunk in response:
+                yield chunk
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')
@@ -207,7 +182,7 @@ 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

@@ -1,23 +1,22 @@
 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.inputs import int_range
-from sqlalchemy import or_, func
-from sqlalchemy.orm import joinedload
-from werkzeug.exceptions import NotFound
-
 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 flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from libs.helper import datetime_string
+from libs.login import login_required
+from models.model import Conversation, Message, MessageAnnotation
+from sqlalchemy import func, or_
+from sqlalchemy.orm import joinedload
+from werkzeug.exceptions import NotFound
 
 
 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 +1,14 @@
-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 flask_login import current_user
+from flask_restful import Resource, reqparse
+from libs.login import login_required
 
 
 class RuleGenerateApi(Resource):
@@ -36,9 +35,8 @@ 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

@@ -1,32 +1,34 @@
 import json
 import logging
-from typing import Union, Generator
-
-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.inputs import int_range
-from werkzeug.exceptions import InternalServerError, NotFound
+from typing import Generator, Union
 
 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 flask import Response, stream_with_context
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
 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
 from services.errors.message import MessageNotExistsError
 from services.message_service import MessageService
+from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 
 class ChatMessageListApi(Resource):
@@ -151,44 +153,24 @@ 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 +209,13 @@ 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 +227,8 @@ 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:
@@ -249,33 +236,13 @@ class MessageMoreLikeThisApi(Resource):
             raise InternalServerError()
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
+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 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"
+            for chunk in response:
+                yield chunk
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')
@@ -309,9 +276,8 @@ 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 +1,15 @@
 # -*- coding:utf-8 -*-
 
-from flask import request
-from flask_restful import Resource
-from flask_login import current_user
-
 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 events.app_event import app_model_config_was_updated
 from extensions.ext_database import db
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource
+from libs.login import login_required
 from models.model import AppModelConfig
 from services.app_model_config_service import AppModelConfigService
 
@@ -24,29 +23,29 @@ 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)
 
         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

@@ -1,17 +1,16 @@
 # -*- 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 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 flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from libs.login import login_required
 from models.model import Site
+from werkzeug.exceptions import Forbidden, NotFound
 
 
 def parse_app_site_args():
@@ -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 flask import jsonify
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from libs.helper import datetime_string
+from libs.login import login_required
 
 
 class DailyConversationStatistic(Resource):
@@ -62,16 +61,15 @@ class DailyConversationStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'conversation_count': i.conversation_count
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'conversation_count': i.conversation_count
+                })
 
         return jsonify({
             'data': response_data
@@ -124,16 +122,15 @@ class DailyTerminalsStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'terminal_count': i.terminal_count
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)            
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'terminal_count': i.terminal_count
+                })
 
         return jsonify({
             'data': response_data
@@ -187,18 +184,17 @@ class DailyTokenCostStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'token_count': i.token_count,
-                'total_price': i.total_price,
-                'currency': 'USD'
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'token_count': i.token_count,
+                    'total_price': i.total_price,
+                    'currency': 'USD'
+                })
 
         return jsonify({
             'data': response_data
@@ -256,16 +252,15 @@ LEFT JOIN conversations c on c.id=subquery.conversation_id
 GROUP BY date
 ORDER BY date"""
 
+        response_data = []
+        
         with db.engine.begin() as conn:
             rs = conn.execute(db.text(sql_query), arg_dict)
-
-        response_data = []
-
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'interactions': float(i.interactions.quantize(Decimal('0.01')))
-            })
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'interactions': float(i.interactions.quantize(Decimal('0.01')))
+                })
 
         return jsonify({
             'data': response_data
@@ -320,20 +315,19 @@ class UserSatisfactionRateStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'rate': round((i.feedback_count * 1000 / i.message_count) if i.message_count > 0 else 0, 2),
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'rate': round((i.feedback_count * 1000 / i.message_count) if i.message_count > 0 else 0, 2),
+                })
 
         return jsonify({
-                'data': response_data
-            })
+            'data': response_data
+        })
 
 
 class AverageResponseTimeStatistic(Resource):
@@ -383,16 +377,15 @@ class AverageResponseTimeStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'latency': round(i.latency * 1000, 4)
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)            
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'latency': round(i.latency * 1000, 4)
+                })
 
         return jsonify({
             'data': response_data
@@ -447,16 +440,15 @@ WHERE app_id = :app_id'''
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'tps': round(i.tokens_per_second, 4)
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'tps': round(i.tokens_per_second, 4)
+                })
 
         return jsonify({
             'data': response_data

api/controllers/console/auth/activate.py

@@ -2,13 +2,13 @@ import base64
 import secrets
 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 flask_restful import Resource, reqparse
+from libs.helper import email, str_len, timezone
+from libs.password import hash_password, valid_password
 from models.account import AccountStatus, Tenant
 from services.account_service import RegisterService
 

api/controllers/console/auth/data_source_oauth.py

@@ -1,15 +1,14 @@
 import logging
 
 import requests
-from flask import request, redirect, current_app
+from controllers.console import api
+from flask import current_app, redirect, request
 from flask_login import current_user
-
 from flask_restful import Resource
-from werkzeug.exceptions import Forbidden
-
 from libs.login import login_required
 from libs.oauth_data_source import NotionOAuth
-from controllers.console import api
+from werkzeug.exceptions import Forbidden
+
 from ..setup import setup_required
 from ..wraps import account_initialization_required
 
@@ -31,7 +30,7 @@ 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

@@ -1,12 +1,11 @@
 # -*- coding:utf-8 -*-
 import flask
 import flask_login
-from flask import request, current_app
-from flask_restful import Resource, reqparse
-
 import services
 from controllers.console import api
 from controllers.console.setup import setup_required
+from flask import current_app, request
+from flask_restful import Resource, reqparse
 from libs.helper import email
 from libs.password import valid_password
 from services.account_service import AccountService, TenantService

api/controllers/console/auth/oauth.py

@@ -3,13 +3,14 @@ from datetime import datetime
 from typing import Optional
 
 import requests
-from flask import request, redirect, current_app
-from flask_restful import Resource
-
-from libs.oauth import OAuthUserInfo, GitHubOAuth, GoogleOAuth
+from constants.languages import languages
 from extensions.ext_database import db
+from flask import current_app, redirect, request
+from flask_restful import Resource
+from libs.oauth import GitHubOAuth, GoogleOAuth, OAuthUserInfo
 from models.account import Account, AccountStatus
 from services.account_service import AccountService, RegisterService
+
 from .. import api
 
 
@@ -106,11 +107,11 @@ 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

@@ -0,0 +1,43 @@
+from controllers.console import api
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required, only_edition_cloud
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from libs.login import login_required
+from services.billing_service import BillingService
+
+
+class Subscription(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @only_edition_cloud
+    def get(self):
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('plan', type=str, required=True, location='args', choices=['professional', 'team'])
+        parser.add_argument('interval', type=str, required=True, location='args', choices=['month', 'year'])
+        args = parser.parse_args()
+
+        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):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @only_edition_cloud
+    def get(self):
+        BillingService.is_tenant_owner_or_admin(current_user)
+        return BillingService.get_invoices(current_user.email, current_user.current_tenant_id)
+
+
+api.add_resource(Subscription, '/billing/subscription')
+api.add_resource(Invoices, '/billing/invoices')

api/controllers/console/datasets/data_source.py

@@ -1,23 +1,22 @@
 import datetime
 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 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 flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from libs.login import login_required
 from models.dataset import Document
 from models.source import DataSourceBinding
 from services.dataset_service import DatasetService, DocumentService
 from tasks.document_indexing_sync_task import document_indexing_sync_task
+from werkzeug.exceptions import NotFound
 
 
 class DataSourceApi(Resource):

api/controllers/console/datasets/datasets.py

@@ -1,29 +1,28 @@
 # -*- coding:utf-8 -*-
 import flask_restful
-from flask import request, current_app
-from flask_login import current_user
-
-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 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 flask import current_app, request
+from flask_login import current_user
+from flask_restful import Resource, marshal, marshal_with, reqparse
+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
+from werkzeug.exceptions import Forbidden, NotFound
 
 
 def _validate_name(name):
@@ -55,16 +54,20 @@ 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 +78,7 @@ class DatasetListApi(Resource):
                     item['embedding_available'] = False
             else:
                 item['embedding_available'] = True
+
         response = {
             'data': data,
             'has_more': len(datasets) == limit,
@@ -93,12 +97,13 @@ 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 +135,20 @@ 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:
@@ -166,14 +178,16 @@ 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'),
-                            help='Invalid indexing technique.')
+                    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.')
+        parser.add_argument('retrieval_model', type=dict, location='json', help='Invalid retrieval model.')
         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(
@@ -191,7 +205,7 @@ 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):
@@ -244,7 +258,9 @@ 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,
@@ -375,7 +391,7 @@ 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). \
@@ -401,6 +417,7 @@ class DatasetApiKeyApi(Resource):
 
 class DatasetApiDeleteApi(Resource):
     resource_type = 'dataset'
+
     @setup_required
     @login_required
     @account_initialization_required
@@ -408,7 +425,7 @@ 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). \
@@ -436,6 +453,50 @@ class DatasetApiBaseUrlApi(Resource):
         }
 
 
+class DatasetRetrievalSettingApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        vector_type = current_app.config['VECTOR_STORE']
+        if vector_type == 'milvus':
+            return {
+                'retrieval_method': [
+                    'semantic_search'
+                ]
+            }
+        elif vector_type == 'qdrant' or vector_type == 'weaviate':
+            return {
+                'retrieval_method': [
+                    'semantic_search', 'full_text_search', 'hybrid_search'
+                ]
+            }
+        else:
+            raise ValueError("Unsupported vector db type.")
+
+
+class DatasetRetrievalSettingMockApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, vector_type):
+
+        if vector_type == 'milvus':
+            return {
+                'retrieval_method': [
+                    'semantic_search'
+                ]
+            }
+        elif vector_type == 'qdrant' or vector_type == 'weaviate':
+            return {
+                'retrieval_method': [
+                    'semantic_search', 'full_text_search', 'hybrid_search'
+                ]
+            }
+        else:
+            raise ValueError("Unsupported vector db type.")
+
+
 api.add_resource(DatasetListApi, '/datasets')
 api.add_resource(DatasetApi, '/datasets/<uuid:dataset_id>')
 api.add_resource(DatasetQueryApi, '/datasets/<uuid:dataset_id>/queries')
@@ -445,3 +506,6 @@ api.add_resource(DatasetIndexingStatusApi, '/datasets/<uuid:dataset_id>/indexing
 api.add_resource(DatasetApiKeyApi, '/datasets/api-keys')
 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

@@ -2,35 +2,35 @@
 from datetime import datetime
 from typing import List
 
-from flask import request, current_app
-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
-
 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
+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 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 flask import request
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal, marshal_with, reqparse
+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 sqlalchemy import asc, desc
 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
+from werkzeug.exceptions import Forbidden, NotFound
 
 
 class DocumentResource(Resource):
@@ -194,6 +194,7 @@ class DatasetDocumentListApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(documents_and_batch_fields)
+    @cloud_edition_billing_resource_check('vector_space')
     def post(self, dataset_id):
         dataset_id = str(dataset_id)
 
@@ -203,7 +204,7 @@ 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:
@@ -221,6 +222,8 @@ class DatasetDocumentListApi(Resource):
         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')
+        parser.add_argument('retrieval_model', type=dict, required=False, nullable=False,
+                            location='json')
         args = parser.parse_args()
 
         if not dataset.indexing_technique and not args['indexing_technique']:
@@ -250,9 +253,10 @@ class DatasetInitApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(dataset_and_document_fields)
+    @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()
@@ -263,13 +267,17 @@ class DatasetInitApi(Resource):
         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')
+        parser.add_argument('retrieval_model', type=dict, required=False, nullable=False,
+                            location='json')
         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.")
@@ -404,7 +412,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
         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
+                UploadFile.id.in_(info_list)
             ).all()
 
             if file_details is None:
@@ -547,7 +555,7 @@ 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,
@@ -591,7 +599,7 @@ 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":
@@ -655,7 +663,7 @@ 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:
@@ -689,6 +697,7 @@ class DocumentStatusApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def patch(self, dataset_id, document_id, action):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
@@ -701,7 +710,7 @@ 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)
@@ -766,14 +775,6 @@ class DocumentStatusApi(DocumentResource):
             if not document.archived:
                 raise InvalidActionError('Document is not archived.')
 
-            # check document limit
-            if current_app.config['EDITION'] == 'CLOUD':
-                documents_count = DocumentService.get_tenant_documents_count()
-                total_count = documents_count + 1
-                tenant_document_count = int(current_app.config['TENANT_DOCUMENT_COUNT'])
-                if total_count > tenant_document_count:
-                    raise ValueError(f"All your documents have overed limit {tenant_document_count}.")
-
             document.archived = False
             document.archived_at = None
             document.archived_by = None
@@ -852,21 +853,6 @@ class DocumentRecoverApi(DocumentResource):
         return {'result': 'success'}, 204
 
 
-class DocumentLimitApi(DocumentResource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-        """get document limit"""
-        documents_count = DocumentService.get_tenant_documents_count()
-        tenant_document_count = int(current_app.config['TENANT_DOCUMENT_COUNT'])
-
-        return {
-            'documents_count': documents_count,
-            'documents_limit': tenant_document_count
-                }, 200
-
-
 api.add_resource(GetProcessRuleApi, '/datasets/process-rule')
 api.add_resource(DatasetDocumentListApi,
                  '/datasets/<uuid:dataset_id>/documents')
@@ -892,4 +878,3 @@ api.add_resource(DocumentStatusApi,
                  '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/status/<string:action>')
 api.add_resource(DocumentPauseApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/pause')
 api.add_resource(DocumentRecoverApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/resume')
-api.add_resource(DocumentLimitApi, '/datasets/limit')

api/controllers/console/datasets/datasets_segments.py

@@ -1,30 +1,30 @@
 # -*- coding:utf-8 -*-
 import uuid
 from datetime import datetime
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource, reqparse, marshal
-from werkzeug.exceptions import NotFound, Forbidden
 
+import pandas as pd
 import services
 from controllers.console import api
 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
-from core.model_providers.error import LLMBadRequestError, ProviderTokenNotInitError
-from core.model_providers.model_factory import ModelFactory
-from libs.login import login_required
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+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 flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, reqparse
+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
+from werkzeug.exceptions import Forbidden, NotFound
 
 
 class DatasetDocumentSegmentListApi(Resource):
@@ -114,6 +114,7 @@ class DatasetDocumentSegmentApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def patch(self, dataset_id, segment_id, action):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -122,7 +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:
@@ -132,10 +133,12 @@ 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(
@@ -152,6 +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:
@@ -200,6 +206,7 @@ class DatasetDocumentSegmentAddApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def post(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -212,15 +219,17 @@ 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(
@@ -250,6 +259,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def patch(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -266,10 +276,12 @@ 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(
@@ -286,7 +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)
@@ -330,7 +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)
@@ -344,6 +356,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def post(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)

api/controllers/console/datasets/file.py

@@ -1,19 +1,15 @@
-from flask import request, current_app
-from flask_login import current_user
-
 import services
-from libs.login import login_required
-from flask_restful import Resource, marshal_with
-
 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 fields.file_fields import file_fields, upload_config_fields
+from flask import current_app, request
+from flask_login import current_user
+from flask_restful import Resource, marshal_with
+from libs.login import login_required
+from services.file_service import ALLOWED_EXTENSIONS, UNSTRUSTURED_ALLOWED_EXTENSIONS, FileService
 
 PREVIEW_WORDS_LIMIT = 3000
 
@@ -69,5 +65,16 @@ 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

@@ -1,22 +1,22 @@
 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
-
 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 flask_login import current_user
+from flask_restful import Resource, marshal, reqparse
+from libs.login import login_required
 from services.dataset_service import DatasetService
 from services.hit_testing_service import HitTestingService
+from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 
 class HitTestingApi(Resource):
@@ -42,19 +42,18 @@ class HitTestingApi(Resource):
 
         parser = reqparse.RequestParser()
         parser.add_argument('query', type=str, location='json')
+        parser.add_argument('retrieval_model', type=dict, required=False, location='json')
         args = parser.parse_args()
 
-        query = args['query']
-
-        if not query or len(query) > 250:
-            raise ValueError('Query is required and cannot exceed 250 characters')
+        HitTestingService.hit_testing_args_check(args)
 
         try:
             response = HitTestingService.retrieve(
                 dataset=dataset,
-                query=query,
+                query=args['query'],
                 account=current_user,
-                limit=10,
+                retrieval_model=args['retrieval_model'],
+                limit=10
             )
 
             return {"query": response['query'], 'records': marshal(response['records'], hit_testing_record_fields)}
@@ -68,8 +67,10 @@ class HitTestingApi(Resource):
             raise ProviderModelCurrentlyNotSupportError()
         except LLMBadRequestError:
             raise ProviderNotInitializeError(
-                f"No Embedding Model available. Please configure a valid provider "
+                f"No Embedding Model or Reranking Model available. Please configure a valid provider "
                 f"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

@@ -1,22 +1,21 @@
 # -*- 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.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 flask import request
 from models.model import AppModelConfig
+from services.audio_service import AudioService
+from services.errors.audio import (AudioTooLargeServiceError, NoAudioUploadedServiceError,
+                                   ProviderNotSupportSpeechToTextServiceError, UnsupportedAudioTypeServiceError)
+from werkzeug.exceptions import InternalServerError
 
 
 class ChatAudioApi(InstalledAppResource):
@@ -30,9 +29,10 @@ 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 +53,55 @@ 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'],
+                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

@@ -4,23 +4,24 @@ import logging
 from datetime import datetime
 from typing import Generator, Union
 
+import services
+from controllers.console import api
+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.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 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.explore.error import NotCompletionAppError, NotChatAppError
-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 extensions.ext_database import db
 from libs.helper import uuid_value
 from services.completion_service import CompletionService
+from werkzeug.exceptions import InternalServerError, NotFound
 
 
 # define completion api for user
@@ -50,7 +51,7 @@ class CompletionApi(InstalledAppResource):
                 app_model=app_model,
                 user=current_user,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.EXPLORE,
                 streaming=streaming
             )
 
@@ -68,9 +69,8 @@ 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 +84,7 @@ 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 +115,7 @@ class ChatApi(InstalledAppResource):
                 app_model=app_model,
                 user=current_user,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.EXPLORE,
                 streaming=streaming
             )
 
@@ -133,9 +133,8 @@ 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:
@@ -149,40 +148,18 @@ 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
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
+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 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"
+            for chunk in response:
+                yield chunk
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/console/explore/conversation.py

@@ -1,17 +1,16 @@
 # -*- 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.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 flask_login import current_user
+from flask_restful import fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
 from libs.helper import TimestampField, 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
+from werkzeug.exceptions import NotFound
 
 
 class ConversationListApi(InstalledAppResource):
@@ -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/installed_app.py

@@ -1,19 +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 sqlalchemy import and_
-from werkzeug.exceptions import NotFound, Forbidden, BadRequest
-
 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 flask_login import current_user
+from flask_restful import Resource, inputs, marshal_with, reqparse
+from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
+from sqlalchemy import and_
+from werkzeug.exceptions import BadRequest, Forbidden, NotFound
 
 
 class InstalledAppsListApi(Resource):
@@ -34,8 +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
         ]
@@ -47,6 +47,7 @@ class InstalledAppsListApi(Resource):
 
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('apps')
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument('app_id', type=str, required=True, help='Invalid app_id')

api/controllers/console/explore/message.py

@@ -3,31 +3,32 @@ import json
 import logging
 from typing import Generator, Union
 
-from flask import stream_with_context, Response
-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 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 flask import Response, stream_with_context
+from flask_login import current_user
+from flask_restful import fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from libs.helper import TimestampField, uuid_value
 from services.completion_service import CompletionService
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
 from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
 from services.message_service import MessageService
+from werkzeug.exceptions import InternalServerError, NotFound
 
 
 class MessageListApi(InstalledAppResource):
-
     @marshal_with(message_infinite_scroll_pagination_fields)
     def get(self, installed_app):
         app_model = installed_app.app
@@ -49,7 +50,6 @@ 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 +83,13 @@ 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 +101,8 @@ 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:
@@ -105,32 +110,13 @@ class MessageMoreLikeThisApi(InstalledAppResource):
             raise InternalServerError()
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
+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 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"
+            for chunk in response:
+                yield chunk
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')
@@ -162,9 +148,8 @@ 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
-from flask import current_app
+import json
 
 from controllers.console import api
 from controllers.console.explore.wraps import InstalledAppResource
-
-from models.model import InstalledApp
+from extensions.ext_database import db
+from flask import current_app
+from flask_restful import fields, marshal_with
+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")
+                  + f"/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

@@ -1,15 +1,15 @@
 # -*- 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 flask_login import current_user
+from flask_restful import Resource, fields, marshal_with
+from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
+from sqlalchemy import and_
 
 app_fields = {
     'id': fields.String,
@@ -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 +1,14 @@
-from flask_login import current_user
-from flask_restful import reqparse, marshal_with, fields
-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 flask_login import current_user
+from flask_restful import fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
+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
+from werkzeug.exceptions import NotFound
 
 feedback_fields = {
     'rating': fields.String

api/controllers/console/explore/wraps.py

@@ -1,13 +1,12 @@
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource
 from functools import wraps
 
-from werkzeug.exceptions import NotFound
-
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
+from flask_login import current_user
+from flask_restful import Resource
+from libs.login import login_required
 from models.model import InstalledApp
+from werkzeug.exceptions import NotFound
 
 
 def installed_app_required(view=None):

api/controllers/console/extension.py

@@ -1,14 +1,13 @@
-from flask_restful import Resource, reqparse, marshal_with
-from flask_login import current_user
-
 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 flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
 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 +1,16 @@
+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 +1,48 @@
+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_restful import Resource, reqparse
-
 from extensions.ext_database import db
-from models.model import DifySetup
-from services.account_service import AccountService, TenantService, RegisterService
-
+from flask import current_app, request
+from flask_restful import Resource, reqparse
 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

@@ -5,7 +5,7 @@ import logging
 
 import requests
 from flask import current_app
-from flask_restful import reqparse, Resource
+from flask_restful import Resource, reqparse
 from werkzeug.exceptions import InternalServerError
 
 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

@@ -2,21 +2,21 @@
 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 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 flask import current_app, request
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal_with, reqparse
+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 +1,16 @@
 # -*- 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
-
 import services
 from controllers.console import api
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from libs.helper import TimestampField
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
-from models.account import Account, TenantAccountJoin
-from services.account_service import TenantService, RegisterService
+from flask import current_app
+from flask_login import current_user
+from flask_restful import Resource, abort, fields, marshal_with, reqparse
+from libs.helper import TimestampField
+from libs.login import login_required
+from models.account import Account
+from services.account_service import RegisterService, TenantService
 
 account_fields = {
     'id': fields.String,
@@ -47,14 +46,17 @@ class MemberInviteEmailApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('members')
     def post(self):
         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
 
@@ -63,19 +65,12 @@ 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 Exception as e:
                 invitation_results.append({
                     'status': 'failed',

api/controllers/console/workspace/model_providers.py

@@ -1,16 +1,18 @@
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse
-from werkzeug.exceptions import Forbidden
+import io
 
 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 flask import send_file
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from libs.login import login_required
+from services.billing_service import BillingService
+from services.model_provider_service import ModelProviderService
+from werkzeug.exceptions import Forbidden
 
 
 class ModelProviderListApi(Resource):
@@ -21,10 +23,37 @@ class ModelProviderListApi(Resource):
     def get(self):
         tenant_id = current_user.current_tenant_id
 
-        provider_service = ProviderService()
-        provider_list = provider_service.get_provider_list(tenant_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('model_type', type=str, required=False, nullable=True,
+                            choices=[mt.value for mt in ModelType], location='args')
+        args = parser.parse_args()
 
-        return provider_list
+        model_provider_service = ModelProviderService()
+        provider_list = model_provider_service.get_provider_list(
+            tenant_id=tenant_id,
+            model_type=args.get('model_type')
+        )
+
+        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):
@@ -32,21 +61,24 @@ 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
@@ -60,26 +92,26 @@ 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))
@@ -89,109 +121,36 @@ 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'], 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'], 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'], 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):
@@ -199,88 +158,51 @@ 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
@@ -290,15 +212,15 @@ 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']
         )
 
@@ -306,19 +228,18 @@ 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

@@ -1,14 +1,16 @@
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse
+import logging
 
 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 flask_login import current_user
+from flask_restful import Resource, reqparse
+from libs.login import login_required
+from services.model_provider_service import ModelProviderService
+from werkzeug.exceptions import Forbidden
 
 
 class DefaultModelApi(Resource):
@@ -19,91 +21,248 @@ 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'], 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
     @account_initialization_required
     def post(self):
         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'], location='json')
-        parser.add_argument('provider_name', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('model_settings', type=list, required=True, nullable=False, location='json')
         args = parser.parse_args()
 
-        provider_service = ProviderService()
-        provider_service.update_default_model_of_model_type(
-            tenant_id=current_user.current_tenant_id,
-            model_type=args['model_type'],
-            provider_name=args['provider_name'],
-            model_name=args['model_name']
-        )
+        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:
+                model_provider_service.update_default_model_of_model_type(
+                    tenant_id=tenant_id,
+                    model_type=model_setting['model_type'],
+                    provider=model_setting['provider'],
+                    model=model_setting['model']
+                )
+            except Exception:
+                logging.warning(f"{model_setting['model_type']} save error")
 
         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 +1,291 @@
+import io
 import json
 
-from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, abort, 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 flask import send_file
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from libs.login import login_required
+from services.tools_manage_service import ToolManageService
+from werkzeug.exceptions import Forbidden
 
 
 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)
+        return send_file(io.BytesIO(icon_bytes), mimetype=minetype)
+
+
+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
 
-        tool_provider_service = ToolProviderService(tenant_id, provider)
+        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')
 
-        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.create_api_tool_provider(
+            user_id,
+            tenant_id,
+            args['provider'],
+            args['icon'],
+            args['credentials'],
+            args['schema_type'],
+            args['schema'],
+            args.get('privacy_policy', ''),
+        )
 
-        if not result:
-            response['error'] = error
+class ToolApiProviderGetRemoteSchemaApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        parser = reqparse.RequestParser()
 
-        return response
+        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('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['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(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 +1,23 @@
 # -*- 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
-
+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 flask import request
+from flask_login import current_user
+from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
+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 +34,9 @@ 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 +133,61 @@ 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 +195,5 @@ 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

@@ -1,10 +1,12 @@
 # -*- coding:utf-8 -*-
+import json
 from functools import wraps
 
-from flask import current_app, abort
-from flask_login import current_user
-
 from controllers.console.workspace.error import AccountNotInitializedError
+from flask import abort, current_app, request
+from flask_login import current_user
+from services.feature_service import FeatureService
+from services.operation_service import OperationService
 
 
 def account_initialization_required(view):
@@ -41,3 +43,52 @@ def only_edition_self_hosted(view):
         return view(*args, **kwargs)
 
     return decorated
+
+
+def cloud_edition_billing_resource_check(resource: str,
+                                         error_msg: str = "You have reached the limit of your subscription."):
+    def interceptor(view):
+        @wraps(view)
+        def decorated(*args, **kwargs):
+            features = FeatureService.get_features(current_user.current_tenant_id)
+
+            if features.billing.enabled:
+                members = features.members
+                apps = features.apps
+                vector_space = features.vector_space
+                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:
+                    abort(403, error_msg)
+                elif resource == 'vector_space' and 0 < vector_space.limit <= vector_space.size:
+                    abort(403, error_msg)
+                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)
+
+            return view(*args, **kwargs)
+        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

api/controllers/files/image_preview.py

@@ -1,10 +1,11 @@
-from flask import request, Response
-from flask_restful import Resource
-
 import services
 from controllers.files import api
+from flask import Response, request
+from flask_restful import Resource
 from libs.exception import BaseHTTPException
+from services.account_service import TenantService
 from services.file_service import FileService
+from werkzeug.exceptions import NotFound
 
 
 class ImagePreviewApi(Resource):
@@ -29,9 +30,30 @@ class ImagePreviewApi(Resource):
             raise UnsupportedFileTypeError()
 
         return Response(generator, mimetype=mimetype)
+    
+
+class WorkspaceWebappLogoApi(Resource):
+    def get(self, workspace_id):
+        workspace_id = str(workspace_id)
+
+        custom_config = TenantService.get_custom_config(workspace_id)
+        webapp_logo_file_id = custom_config.get('replace_webapp_logo') if custom_config is not None else None
+
+        if not webapp_logo_file_id:
+            raise NotFound(f'webapp logo is not found')
+
+        try:
+            generator, mimetype = FileService.get_public_image_preview(
+                webapp_logo_file_id,
+            )
+        except services.errors.file.UnsupportedFileTypeError:
+            raise UnsupportedFileTypeError()
+
+        return Response(generator, mimetype=mimetype)
 
 
 api.add_resource(ImagePreviewApi, '/files/<uuid:file_id>/image-preview')
+api.add_resource(WorkspaceWebappLogoApi, '/files/workspaces/<uuid:workspace_id>/webapp-logo')
 
 
 class UnsupportedFileTypeError(BaseHTTPException):

api/controllers/files/tool_files.py

@@ -0,0 +1,47 @@
+from controllers.files import api
+from core.tools.tool_file_manager import ToolFileManager
+from flask import Response
+from flask_restful import Resource, reqparse
+from libs.exception import BaseHTTPException
+from werkzeug.exceptions import Forbidden, NotFound
+
+
+class ToolFilePreviewApi(Resource):
+    def get(self, file_id, extension):
+        file_id = str(file_id)
+
+        parser = reqparse.RequestParser()
+
+        parser.add_argument('timestamp', type=str, required=True, location='args')
+        parser.add_argument('nonce', type=str, required=True, location='args')
+        parser.add_argument('sign', type=str, required=True, location='args')
+
+        args = parser.parse_args()
+
+        if not ToolFileManager.verify_file(file_id=file_id,
+                                            timestamp=args['timestamp'],
+                                            nonce=args['nonce'],
+                                            sign=args['sign'],
+        ):
+            raise Forbidden('Invalid request.')
+        
+        try:
+            result = ToolFileManager.get_file_generator_by_message_file_id(
+                file_id,
+            )
+
+            if not result:
+                raise NotFound(f'file is not found')
+            
+            generator, mimetype = result
+        except Exception:
+            raise UnsupportedFileTypeError()
+
+        return Response(generator, mimetype=mimetype)
+
+api.add_resource(ToolFilePreviewApi, '/files/tools/<uuid:file_id>.<string:extension>')
+
+class UnsupportedFileTypeError(BaseHTTPException):
+    error_code = 'unsupported_file_type'
+    description = "File type not allowed."
+    code = 415

api/controllers/service_api/__init__.py

@@ -1,12 +1,11 @@
 # -*- coding:utf-8 -*-
 from flask import Blueprint
-
 from libs.external_api import ExternalApi
 
 bp = Blueprint('service_api', __name__, url_prefix='/v1')
 api = ExternalApi(bp)
 
 
-from .app import completion, app, conversation, message, audio, file
-
-from .dataset import document, segment, dataset
+from . import index
+from .app import app, audio, completion, conversation, file, message
+from .dataset import dataset, document, segment

api/controllers/service_api/app/app.py

@@ -1,11 +1,13 @@
 # -*- coding:utf-8 -*-
-from flask_restful import fields, marshal_with
-from flask import current_app
+import json
 
 from controllers.service_api import api
 from controllers.service_api.wraps import AppApiResource
-
-from models.model import App
+from extensions.ext_database import db
+from flask import current_app
+from flask_restful import fields, marshal_with
+from models.model import App, AppModelConfig
+from models.tools import ApiToolProvider
 
 
 class AppParameterApi(AppApiResource):
@@ -30,7 +32,9 @@ class AppParameterApi(AppApiResource):
         '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(AppApiResource):
             '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(AppApiResource):
             }
         }
 
+class AppMetaApi(AppApiResource):
+    def get(self, app_model: App, end_user):
+        """Get app meta"""
+        app_model_config: AppModelConfig = app_model.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")
+                  + f"/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, '/parameters')
+api.add_resource(AppMetaApi, '/meta')

api/controllers/service_api/app/audio.py

@@ -1,34 +1,37 @@
 import logging
 
-from flask import request
-from werkzeug.exceptions import InternalServerError
-
 import services
 from controllers.service_api import api
-from controllers.service_api.app.error import AppUnavailableError, ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError, NoAudioUploadedError, AudioTooLargeError, UnsupportedAudioTypeError, \
-    ProviderNotSupportSpeechToTextError
+from controllers.service_api.app.error import (AppUnavailableError, AudioTooLargeError, CompletionRequestError,
+                                               NoAudioUploadedError, ProviderModelCurrentlyNotSupportError,
+                                               ProviderNotInitializeError, ProviderNotSupportSpeechToTextError,
+                                               ProviderQuotaExceededError, UnsupportedAudioTypeError)
 from controllers.service_api.wraps import AppApiResource
-from core.model_providers.error import LLMBadRequestError, LLMAuthorizationError, LLMAPIUnavailableError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from flask import request
+from flask_restful import reqparse
 from models.model import App, AppModelConfig
 from services.audio_service import AudioService
-from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, \
-    UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
+from services.errors.audio import (AudioTooLargeServiceError, NoAudioUploadedServiceError,
+                                   ProviderNotSupportSpeechToTextServiceError, UnsupportedAudioTypeServiceError)
+from werkzeug.exceptions import InternalServerError
+
 
 class AudioApi(AppApiResource):
     def post(self, app_model: App, end_user):
         app_model_config: AppModelConfig = app_model.app_model_config
 
         if not app_model_config.speech_to_text_dict['enabled']:
-            raise AppUnavailableError() 
+            raise AppUnavailableError()
 
         file = request.files['file']
 
         try:
-            response = AudioService.transcript(
+            response = AudioService.transcript_asr(
                 tenant_id=app_model.tenant_id,
                 file=file,
+                end_user=end_user
             )
 
             return response
@@ -49,13 +52,57 @@ class AudioApi(AppApiResource):
             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(AudioApi, '/audio-to-text')
+
+
+class TextApi(AppApiResource):
+    def post(self, app_model: App, end_user):
+        parser = reqparse.RequestParser()
+        parser.add_argument('text', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('user', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('streaming', type=bool, required=False, nullable=False, location='json')
+        args = parser.parse_args()
+
+        try:
+            response = AudioService.transcript_tts(
+                tenant_id=app_model.tenant_id,
+                text=args['text'],
+                end_user=args['user'],
+                streaming=args['streaming']
+            )
+
+            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 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(AudioApi, '/audio-to-text')
+api.add_resource(TextApi, '/text-to-audio')

api/controllers/service_api/app/completion.py

@@ -1,23 +1,23 @@
 import json
 import logging
-from typing import Union, Generator
-
-from flask import stream_with_context, Response
-from flask_restful import reqparse
-from werkzeug.exceptions import NotFound, InternalServerError
+from typing import Generator, Union
 
 import services
 from controllers.service_api import api
 from controllers.service_api.app import create_or_update_end_user_for_user_id
-from controllers.service_api.app.error import AppUnavailableError, ProviderNotInitializeError, NotChatAppError, \
-    ConversationCompletedError, CompletionRequestError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
+from controllers.service_api.app.error import (AppUnavailableError, CompletionRequestError, ConversationCompletedError,
+                                               NotChatAppError, ProviderModelCurrentlyNotSupportError,
+                                               ProviderNotInitializeError, ProviderQuotaExceededError)
 from controllers.service_api.wraps import AppApiResource
-from core.conversation_message_task import PubHandler
-from core.model_providers.error import LLMBadRequestError, LLMAuthorizationError, LLMAPIUnavailableError, 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 flask import Response, stream_with_context
+from flask_restful import reqparse
 from libs.helper import uuid_value
 from services.completion_service import CompletionService
+from werkzeug.exceptions import InternalServerError, NotFound
 
 
 class CompletionApi(AppApiResource):
@@ -30,7 +30,7 @@ class CompletionApi(AppApiResource):
         parser.add_argument('query', type=str, location='json', default='')
         parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
-        parser.add_argument('user', type=str, location='json')
+        parser.add_argument('user', required=True, nullable=False, type=str, location='json')
         parser.add_argument('retriever_from', type=str, required=False, default='dev', location='json')
 
         args = parser.parse_args()
@@ -47,7 +47,7 @@ class CompletionApi(AppApiResource):
                 app_model=app_model,
                 user=end_user,
                 args=args,
-                from_source='api',
+                invoke_from=InvokeFrom.SERVICE_API,
                 streaming=streaming,
             )
 
@@ -65,9 +65,8 @@ class CompletionApi(AppApiResource):
             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:
@@ -80,7 +79,18 @@ class CompletionStopApi(AppApiResource):
         if app_model.mode != 'completion':
             raise AppUnavailableError()
 
-        PubHandler.stop(end_user, task_id)
+        if end_user is None:
+            parser = reqparse.RequestParser()
+            parser.add_argument('user', required=True, nullable=False, type=str, location='json')
+            args = parser.parse_args()
+
+            user = args.get('user')
+            if user is not None:
+                end_user = create_or_update_end_user_for_user_id(app_model, user)
+            else:
+                raise ValueError("arg user muse be input.")
+
+        ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)
 
         return {'result': 'success'}, 200
 
@@ -96,9 +106,9 @@ class ChatApi(AppApiResource):
         parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
         parser.add_argument('conversation_id', type=uuid_value, location='json')
-        parser.add_argument('user', type=str, location='json')
+        parser.add_argument('user', type=str, required=True, nullable=False, location='json')
         parser.add_argument('retriever_from', type=str, required=False, default='dev', location='json')
-        parser.add_argument('auto_generate_name', type=bool, required=False, default='True', location='json')
+        parser.add_argument('auto_generate_name', type=bool, required=False, default=True, location='json')
 
         args = parser.parse_args()
 
@@ -112,7 +122,7 @@ class ChatApi(AppApiResource):
                 app_model=app_model,
                 user=end_user,
                 args=args,
-                from_source='api',
+                invoke_from=InvokeFrom.SERVICE_API,
                 streaming=streaming
             )
 
@@ -130,9 +140,8 @@ class ChatApi(AppApiResource):
             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:
@@ -145,40 +154,29 @@ class ChatStopApi(AppApiResource):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
-        PubHandler.stop(end_user, task_id)
+        if end_user is None:
+            parser = reqparse.RequestParser()
+            parser.add_argument('user', required=True, nullable=False, type=str, location='json')
+            args = parser.parse_args()
+
+            user = args.get('user')
+            if user is not None:
+                end_user = create_or_update_end_user_for_user_id(app_model, user)
+            else:
+                raise ValueError("arg user muse be input.")
+
+        ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)
 
         return {'result': 'success'}, 200
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
+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 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"
+            for chunk in response:
+                yield chunk
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')