revert: refactor context

Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>

.github/actions/setup-poetry/action.yml

@@ -0,0 +1,36 @@
+name: Setup Poetry and Python
+
+inputs:
+  python-version:
+    description: Python version to use and the Poetry installed with
+    required: true
+    default: '3.10'
+  poetry-version:
+    description: Poetry version to set up
+    required: true
+    default: '1.8.4'
+  poetry-lockfile:
+    description: Path to the Poetry lockfile to restore cache from
+    required: true
+    default: ''
+
+runs:
+  using: composite
+  steps:
+    - name: Set up Python ${{ inputs.python-version }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ inputs.python-version }}
+        cache: pip
+
+    - name: Install Poetry
+      shell: bash
+      run: pip install poetry==${{ inputs.poetry-version }}
+
+    - name: Restore Poetry cache
+      if: ${{ inputs.poetry-lockfile != '' }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ inputs.python-version }}
+        cache: poetry
+        cache-dependency-path: ${{ inputs.poetry-lockfile }}

.github/pull_request_template.md

@@ -1,34 +1,32 @@
-# Checklist:
+# Summary
+
+Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
+
+> [!Tip]
+> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
+
+
+# Screenshots
+
+<table>
+  <tr>
+  <td>Before: </td>
+  <td>After: </td>
+  </tr>
+  <tr>
+  <td>...</td>
+  <td>...</td>
+  </tr>
+</table>
+
+# Checklist
 
 > [!IMPORTANT]  
 > Please review the checklist below before submitting your pull request.
 
-- [ ] Please open an issue before creating a PR or link to an existing issue
-- [ ] I have performed a self-review of my own code
-- [ ] I have commented my code, particularly in hard-to-understand areas
-- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
-
-# Description
-
-Describe the big picture of your changes here to communicate to the maintainers why we should accept this pull request. If it fixes a bug or resolves a feature request, be sure to link to that issue. Close issue syntax: `Fixes #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
-
-Fixes 
-
-## Type of Change
-
-- [ ] Bug fix (non-breaking change which fixes an issue)
-- [ ] New feature (non-breaking change which adds functionality)
-- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
 - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
-- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
-- [ ] Dependency upgrade
-
-# Testing Instructions
-
-Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
-
-- [ ] Test A
-- [ ] Test B
-
-
+- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
+- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
+- [x] I've updated the documentation accordingly.
+- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
 

.github/workflows/api-tests.yml

@@ -7,6 +7,7 @@ on:
     paths:
       - api/**
       - docker/**
+      - .github/workflows/api-tests.yml
 
 concurrency:
   group: api-tests-${{ github.head_ref || github.run_id }}
@@ -27,16 +28,11 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
         with:
           python-version: ${{ matrix.python-version }}
-          cache-dependency-path: |
-            api/pyproject.toml
-            api/poetry.lock
-
-      - name: Install Poetry
-        uses: abatilo/actions-poetry@v3
+          poetry-lockfile: api/poetry.lock
 
       - name: Check Poetry lockfile
         run: |
@@ -67,7 +63,7 @@ jobs:
         run: sh .github/workflows/expose_service_ports.sh
 
       - name: Set up Sandbox
-        uses: hoverkraft-tech/compose-action@v2.0.0
+        uses: hoverkraft-tech/compose-action@v2.0.2
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml
@@ -77,22 +73,3 @@ jobs:
 
       - name: Run Workflow
         run: poetry run -C api bash dev/pytest/pytest_workflow.sh
-
-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
-        uses: hoverkraft-tech/compose-action@v2.0.0
-        with:
-          compose-file: |
-            docker/docker-compose.yaml
-          services: |
-            weaviate
-            qdrant
-            couchbase-server
-            etcd
-            minio
-            milvus-standalone
-            pgvecto-rs
-            pgvector
-            chroma
-            elasticsearch
-      - name: Test Vector Stores
-        run: poetry run -C api bash dev/pytest/pytest_vdb.sh

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

@@ -6,6 +6,7 @@ on:
       - main
     paths:
       - api/migrations/**
+      - .github/workflows/db-migration-test.yml
 
 concurrency:
   group: db-migration-test-${{ github.ref }}
@@ -14,25 +15,15 @@ concurrency:
 jobs:
   db-migration-test:
     runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version:
-          - "3.10"
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python
+        uses: ./.github/actions/setup-poetry
         with:
-          python-version: ${{ matrix.python-version }}
-          cache-dependency-path: |
-            api/pyproject.toml
-            api/poetry.lock
-
-      - name: Install Poetry
-        uses: abatilo/actions-poetry@v3
+          poetry-lockfile: api/poetry.lock
 
       - name: Install dependencies
         run: poetry install -C api
@@ -43,7 +34,7 @@ jobs:
           cp middleware.env.example middleware.env
 
       - name: Set up Middlewares
-        uses: hoverkraft-tech/compose-action@v2.0.0
+        uses: hoverkraft-tech/compose-action@v2.0.2
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml

.github/workflows/style.yml

@@ -22,34 +22,28 @@ jobs:
         id: changed-files
         uses: tj-actions/changed-files@v45
         with:
-          files: api/**
+          files: |
+            api/**
+            .github/workflows/style.yml
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        with:
-          python-version: '3.10'
+        uses: ./.github/actions/setup-poetry
 
-      - name: Install Poetry
-        if: steps.changed-files.outputs.any_changed == 'true'
-        uses: abatilo/actions-poetry@v3
-
-      - name: Python dependencies
+      - name: Install dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
         run: poetry install -C api --only lint
 
       - name: Ruff check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -C api ruff check ./api
+        run: |
+          poetry run -C api ruff check ./api
+          poetry run -C api ruff format --check ./api
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
         run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
 
-      - name: Ruff formatter check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -C api ruff format --check ./api
-
       - name: Lint hints
         if: failure()
         run: echo "Please run 'dev/reformat' to fix the fixable linting errors."

.github/workflows/vdb-tests.yml

@@ -0,0 +1,71 @@
+name: Run VDB Tests
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - api/core/rag/datasource/**
+      - docker/**
+      - .github/workflows/vdb-tests.yml
+
+concurrency:
+  group: vdb-tests-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    name: VDB Tests
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+          - "3.11"
+          - "3.12"
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-lockfile: api/poetry.lock
+
+      - name: Check Poetry lockfile
+        run: |
+          poetry check -C api --lock
+          poetry show -C api
+
+      - name: Install dependencies
+        run: poetry install -C api --with dev
+
+      - name: Set up dotenvs
+        run: |
+          cp docker/.env.example docker/.env
+          cp docker/middleware.env.example docker/middleware.env
+
+      - name: Expose Service Ports
+        run: sh .github/workflows/expose_service_ports.sh
+
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
+        uses: hoverkraft-tech/compose-action@v2.0.2
+        with:
+          compose-file: |
+            docker/docker-compose.yaml
+          services: |
+            weaviate
+            qdrant
+            couchbase-server
+            etcd
+            minio
+            milvus-standalone
+            pgvecto-rs
+            pgvector
+            chroma
+            elasticsearch
+
+      - name: Test Vector Stores
+        run: poetry run -C api bash dev/pytest/pytest_vdb.sh

.gitignore

@@ -175,6 +175,7 @@ docker/volumes/pgvector/data/*
 docker/volumes/pgvecto_rs/data/*
 docker/volumes/couchbase/*
 docker/volumes/oceanbase/*
+!docker/volumes/oceanbase/init.d
 
 docker/nginx/conf.d/default.conf
 docker/nginx/ssl/*

CONTRIBUTING.md

@@ -81,7 +81,7 @@ Dify requires the following dependencies to build, make sure they're installed o
 
 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.
 
-Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/self-host-faq) for a list of common issues and steps to troubleshoot.
+Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/install-faq) for a list of common issues and steps to troubleshoot.
 
 ### 5. Visit dify in your browser
 

CONTRIBUTING_VI.md

@@ -79,7 +79,7 @@ Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đ
 
 Dify bao gồm một backend và một frontend. Đi đến thư mục backend bằng lệnh `cd api/`, sau đó làm theo hướng dẫn trong [README của Backend](api/README.md) để cài đặt. Trong một terminal khác, đi đến thư mục frontend bằng lệnh `cd web/`, sau đó làm theo hướng dẫn trong [README của Frontend](web/README.md) để cài đặt.
 
-Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/self-host-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục.
+Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/install-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục.
 
 ### 5. Truy cập Dify trong trình duyệt của bạn
 

README.md

@@ -19,6 +19,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
@@ -46,45 +49,18 @@
 </p>
 
 
-## Table of Content
-0. [Quick-Start🚀](https://github.com/langgenius/dify?tab=readme-ov-file#quick-start)
-
-1. [Intro📖](https://github.com/langgenius/dify?tab=readme-ov-file#intro)
-
-2. [How to use🔧](https://github.com/langgenius/dify?tab=readme-ov-file#using-dify)
-
-3. [Stay Ahead🏃](https://github.com/langgenius/dify?tab=readme-ov-file#staying-ahead)
-
-4. [Next Steps🏹](https://github.com/langgenius/dify?tab=readme-ov-file#next-steps)
-
-5. [Contributing💪](https://github.com/langgenius/dify?tab=readme-ov-file#contributing)
-
-6. [Community and Contact🏠](https://github.com/langgenius/dify?tab=readme-ov-file#community--contact)
-
-7. [Star-History📈](https://github.com/langgenius/dify?tab=readme-ov-file#star-history)
-
-8. [Security🔒](https://github.com/langgenius/dify?tab=readme-ov-file#security-disclosure)
-
-9. [License🤝](https://github.com/langgenius/dify?tab=readme-ov-file#license)
-
-> Make sure you read through this README before you start utilizing Dify😊
-
+Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. 
 
 ## Quick start
-The quickest way to deploy Dify locally is to run our [docker-compose.yml](https://github.com/langgenius/dify/blob/main/docker/docker-compose.yaml). Follow the instructions to start in 5 minutes.
-
 > Before installing Dify, make sure your machine meets the following minimum system requirements:
 > 
 >- CPU >= 2 Core
 >- RAM >= 4 GiB
->- Docker and Docker Compose Installed
+
 </br>
 
-Run the following command in your terminal to clone the whole repo.
-```bash
-git clone https://github.com/langgenius/dify.git
-```
-After cloning,run the following command one by one.
+The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+
 ```bash
 cd dify
 cd docker
@@ -92,13 +68,14 @@ cp .env.example .env
 docker compose up -d
 ```
 
-After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process. You will be asked to setup an admin account.
-For more info of quick setup, check [here](https://docs.dify.ai/getting-started/install-self-hosted/docker-compose)
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
 
-## Intro
-Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
-</br> </br>
+#### Seeking help
+Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues.
 
+> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Key features
 **1. Workflow**: 
   Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
@@ -149,20 +126,8 @@ Star Dify on GitHub and be instantly notified of new releases.
 
 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
-## Next steps
 
-Go to [quick-start](https://github.com/langgenius/dify?tab=readme-ov-file#quick-start) to setup your Dify or setup by source code.
-
-#### If you......
-If you forget your admin account, you can refer to this [guide](https://docs.dify.ai/getting-started/install-self-hosted/faqs#id-4.-how-to-reset-the-password-of-the-admin-account) to reset the password.
-
-> Use docker compose up without "-d" to enable logs printing out in your terminal. This might be useful if you have encountered unknow problems when using Dify.
-
-If you encountered system error and would like to acquire help in Github issues, make sure you always paste logs of the error in the request to accerate the conversation. Go to [Community & contact](https://github.com/langgenius/dify?tab=readme-ov-file#community--contact) for more information.
-
-> Please read the [Dify Documentation](https://docs.dify.ai/) for detailed how-to-use guidance. Most of the potential problems are explained in the doc.
-
-> If you'd like to contribute to Dify or make additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+## Advanced Setup
 
 If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
@@ -190,19 +155,18 @@ At the same time, please consider supporting Dify by sharing it on social media
 
 > We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
 
-**Contributors**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
 ## Community & contact
 
 * [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
 * [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).
 * [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
 * [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
-* Make sure a log, if possible, is attached to an error reported to maximize solution efficiency.
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
 ## Star history
 
@@ -216,3 +180,4 @@ To protect your privacy, please avoid posting security issues on GitHub. Instead
 ## License
 
 This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
+

README_AR.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>

README_CN.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>

README_ES.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat en Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="seguir en X(Twitter)"></a>

README_FR.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat sur Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="suivre sur X(Twitter)"></a>

README_JA.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="Discordでチャット"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="X(Twitter)でフォロー"></a>

README_KL.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>

README_KR.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>

README_PT.md

@@ -19,6 +19,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
@@ -238,4 +241,4 @@ Para proteger sua privacidade, evite postar problemas de segurança no GitHub. E
 
 ## Licença
 
-Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.
+Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.

README_SI.md

@@ -0,0 +1,180 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
+  <a href="https://docs.dify.ai">Dokumentacija</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            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?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(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?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
+</p>
+
+
+Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje. 
+
+## Hitri začetek
+> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4 GiB
+
+</br>
+
+Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
+
+```bash
+cd dify
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
+
+#### Iskanje pomoči
+Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
+
+> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Ključne značilnosti
+**1. Potek dela**: 
+  Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Celovita podpora za modele**: 
+  Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. Prompt IDE**: 
+  intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu. 
+
+**4. RAG Pipeline**: 
+  E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
+
+**5. Agent capabilities**: 
+  definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
+
+**6. LLMOps**: 
+  Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
+
+**7. Backend-as-a-Service**: 
+  AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
+
+
+## Uporaba Dify
+
+- **Cloud </br>**
+Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
+
+- **Self-hosting Dify Community Edition</br>**
+Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
+
+
+- **Dify za podjetja/organizacije</br>**
+Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
+  > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
+
+
+## Staying ahead
+
+Star Dify on GitHub and be instantly notified of new releases.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+## Napredne nastavitve
+
+Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
+
+Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Uporaba Terraform za uvajanje
+
+namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+## Prispevam
+
+Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. 
+
+
+
+> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
+
+## Skupnost in stik
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Star history
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Varnostno razkritje
+
+Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
+
+## Licenca
+
+To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

README_TR.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="Discord'da sohbet et"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="X(Twitter)'da takip et"></a>

README_VI.md

@@ -15,6 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat trên Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="theo dõi trên X(Twitter)"></a>
@@ -235,4 +238,4 @@ Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột b
 
 ## Giấy phép
 
-Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.
+Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.

api/.env.example

@@ -120,7 +120,8 @@ SUPABASE_URL=your-server-url
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 
-# Vector database configuration, support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash
+
+# Vector database configuration, support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase
 VECTOR_STORE=weaviate
 
 # Weaviate configuration
@@ -263,14 +264,20 @@ VIKINGDB_SCHEMA=http
 VIKINGDB_CONNECTION_TIMEOUT=30
 VIKINGDB_SOCKET_TIMEOUT=30
 
+# Lindorm configuration
+LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
+LINDORM_USERNAME=admin
+LINDORM_PASSWORD=admin
+
 # OceanBase Vector configuration
 OCEANBASE_VECTOR_HOST=127.0.0.1
 OCEANBASE_VECTOR_PORT=2881
 OCEANBASE_VECTOR_USER=root@test
-OCEANBASE_VECTOR_PASSWORD=
+OCEANBASE_VECTOR_PASSWORD=difyai123456
 OCEANBASE_VECTOR_DATABASE=test
 OCEANBASE_MEMORY_LIMIT=6G
 
+
 # Upload configuration
 UPLOAD_FILE_SIZE_LIMIT=15
 UPLOAD_FILE_BATCH_LIMIT=5
@@ -278,8 +285,9 @@ UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
 UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
 UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
 
-# Model Configuration
+# Model configuration
 MULTIMODAL_SEND_IMAGE_FORMAT=base64
+MULTIMODAL_SEND_VIDEO_FORMAT=base64
 PROMPT_GENERATION_MAX_TOKENS=512
 CODE_GENERATION_MAX_TOKENS=1024
 
@@ -313,13 +321,21 @@ ETL_TYPE=dify
 UNSTRUCTURED_API_URL=
 UNSTRUCTURED_API_KEY=
 
+#ssrf
 SSRF_PROXY_HTTP_URL=
 SSRF_PROXY_HTTPS_URL=
 SSRF_DEFAULT_MAX_RETRIES=3
+SSRF_DEFAULT_TIME_OUT=5
+SSRF_DEFAULT_CONNECT_TIME_OUT=5
+SSRF_DEFAULT_READ_TIME_OUT=5
+SSRF_DEFAULT_WRITE_TIME_OUT=5
 
 BATCH_UPLOAD_LIMIT=10
 KEYWORD_DATA_SOURCE_TYPE=database
 
+# Workflow file upload limit
+WORKFLOW_FILE_UPLOAD_LIMIT=10
+
 # CODE EXECUTION CONFIGURATION
 CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
 CODE_EXECUTION_API_KEY=dify-sandbox
@@ -351,6 +367,10 @@ LOG_FILE=
 LOG_FILE_MAX_SIZE=20
 # Log file max backup count
 LOG_FILE_BACKUP_COUNT=5
+# Log dateformat
+LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
+# Log Timezone
+LOG_TZ=UTC
 
 # Indexing configuration
 INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
@@ -380,3 +400,5 @@ POSITION_PROVIDER_EXCLUDES=
 
 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
+
+CREATE_TIDB_SERVICE_JOB_ENABLED=false

api/Dockerfile

@@ -4,7 +4,7 @@ FROM python:3.10-slim-bookworm AS base
 WORKDIR /app/api
 
 # Install Poetry
-ENV POETRY_VERSION=1.8.3
+ENV POETRY_VERSION=1.8.4
 
 # if you located in China, you can use aliyun mirror to speed up
 # RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
@@ -55,12 +55,7 @@ RUN apt-get update \
     && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
     && apt-get update \
     # For Security
-    && apt-get install -y --no-install-recommends expat=2.6.3-2 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-6 libsqlite3-0=3.46.1-1 \
-    && if [ "$(dpkg --print-architecture)" = "amd64" ]; then \
-        apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1+b1; \
-    else \
-        apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1; \
-    fi \
+    && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-7 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
     # install a chinese font to support the use of tools like matplotlib
     && apt-get install -y fonts-noto-cjk \
     && apt-get autoremove -y \

api/README.md

@@ -76,13 +76,13 @@
 1. Install dependencies for both the backend and the test environment
 
    ```bash
-   poetry install --with dev
+   poetry install -C api --with dev
    ```
 
 2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
 
    ```bash
-   cd ../
    poetry run -C api bash dev/pytest/pytest_all_tests.sh
    ```
 
+

api/app.py

@@ -1,8 +1,9 @@
 import os
+import sys
 
 from configs import dify_config
 
-if os.environ.get("DEBUG", "false").lower() != "true":
+if not dify_config.DEBUG:
     from gevent import monkey
 
     monkey.patch_all()
@@ -29,6 +30,9 @@ from models import account, dataset, model, source, task, tool, tools, web  # no
 
 # DO NOT REMOVE ABOVE
 
+if sys.version_info[:2] == (3, 10):
+    print("Warning: Python 3.10 will not be supported in the next version.")
+
 
 warnings.simplefilter("ignore", ResourceWarning)
 
@@ -49,7 +53,6 @@ if dify_config.TESTING:
 @app.after_request
 def after_request(response):
     """Add Version headers to the response."""
-    response.set_cookie("remember_token", "", expires=0)
     response.headers.add("X-Version", dify_config.CURRENT_VERSION)
     response.headers.add("X-Env", dify_config.DEPLOY_ENV)
     return response

api/app_factory.py

@@ -1,6 +1,8 @@
 import os
 
-if os.environ.get("DEBUG", "false").lower() != "true":
+from configs import dify_config
+
+if not dify_config.DEBUG:
     from gevent import monkey
 
     monkey.patch_all()

api/commands.py

@@ -589,7 +589,7 @@ def upgrade_db():
             click.echo(click.style("Database migration successful!", fg="green"))
 
         except Exception as e:
-            logging.exception(f"Database migration failed: {e}")
+            logging.exception("Failed to execute database migration")
         finally:
             lock.release()
     else:
@@ -633,7 +633,7 @@ where sites.id is null limit 1000"""
                 except Exception as e:
                     failed_app_ids.append(app_id)
                     click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
-                    logging.exception(f"Fix app related site missing issue failed, error: {e}")
+                    logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
                     continue
 
             if not processed_count:

api/configs/feature/__init__.py

@@ -109,7 +109,7 @@ class CodeExecutionSandboxConfig(BaseSettings):
     )
 
     CODE_MAX_PRECISION: PositiveInt = Field(
-        description="mMaximum number of decimal places for floating-point numbers in code execution",
+        description="Maximum number of decimal places for floating-point numbers in code execution",
         default=20,
     )
 
@@ -216,6 +216,11 @@ class FileUploadConfig(BaseSettings):
         default=20,
     )
 
+    WORKFLOW_FILE_UPLOAD_LIMIT: PositiveInt = Field(
+        description="Maximum number of files allowed in a workflow upload operation",
+        default=10,
+    )
+
 
 class HttpConfig(BaseSettings):
     """
@@ -271,6 +276,16 @@ class HttpConfig(BaseSettings):
         default=1 * 1024 * 1024,
     )
 
+    SSRF_DEFAULT_MAX_RETRIES: PositiveInt = Field(
+        description="Maximum number of retries for network requests (SSRF)",
+        default=3,
+    )
+
+    SSRF_PROXY_ALL_URL: Optional[str] = Field(
+        description="Proxy URL for HTTP or HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
+        default=None,
+    )
+
     SSRF_PROXY_HTTP_URL: Optional[str] = Field(
         description="Proxy URL for HTTP requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
@@ -281,6 +296,26 @@ class HttpConfig(BaseSettings):
         default=None,
     )
 
+    SSRF_DEFAULT_TIME_OUT: PositiveFloat = Field(
+        description="The default timeout period used for network requests (SSRF)",
+        default=5,
+    )
+
+    SSRF_DEFAULT_CONNECT_TIME_OUT: PositiveFloat = Field(
+        description="The default connect timeout period used for network requests (SSRF)",
+        default=5,
+    )
+
+    SSRF_DEFAULT_READ_TIME_OUT: PositiveFloat = Field(
+        description="The default read timeout period used for network requests (SSRF)",
+        default=5,
+    )
+
+    SSRF_DEFAULT_WRITE_TIME_OUT: PositiveFloat = Field(
+        description="The default write timeout period used for network requests (SSRF)",
+        default=5,
+    )
+
     RESPECT_XFORWARD_HEADERS_ENABLED: bool = Field(
         description="Enable or disable the X-Forwarded-For Proxy Fix middleware from Werkzeug"
         " to respect X-* headers to redirect clients",
@@ -341,7 +376,7 @@ class LoggingConfig(BaseSettings):
 
     LOG_TZ: Optional[str] = Field(
         description="Timezone for log timestamps (e.g., 'America/New_York')",
-        default=None,
+        default="UTC",
     )
 
 
@@ -576,6 +611,11 @@ class DataSetConfig(BaseSettings):
         default=500,
     )
 
+    CREATE_TIDB_SERVICE_JOB_ENABLED: bool = Field(
+        description="Enable or disable create tidb service job",
+        default=False,
+    )
+
 
 class WorkspaceConfig(BaseSettings):
     """
@@ -599,12 +639,17 @@ class IndexingConfig(BaseSettings):
     )
 
 
-class ImageFormatConfig(BaseSettings):
+class VisionFormatConfig(BaseSettings):
     MULTIMODAL_SEND_IMAGE_FORMAT: Literal["base64", "url"] = Field(
         description="Format for sending images in multimodal contexts ('base64' or 'url'), default is base64",
         default="base64",
     )
 
+    MULTIMODAL_SEND_VIDEO_FORMAT: Literal["base64", "url"] = Field(
+        description="Format for sending videos in multimodal contexts ('base64' or 'url'), default is base64",
+        default="base64",
+    )
+
 
 class CeleryBeatConfig(BaseSettings):
     CELERY_BEAT_SCHEDULER_TIME: int = Field(
@@ -707,7 +752,7 @@ class FeatureConfig(
     FileAccessConfig,
     FileUploadConfig,
     HttpConfig,
-    ImageFormatConfig,
+    VisionFormatConfig,
     InnerAPIConfig,
     IndexingConfig,
     LoggingConfig,

api/configs/middleware/__init__.py

@@ -20,6 +20,7 @@ from configs.middleware.vdb.baidu_vector_config import BaiduVectorDBConfig
 from configs.middleware.vdb.chroma_config import ChromaConfig
 from configs.middleware.vdb.couchbase_config import CouchbaseConfig
 from configs.middleware.vdb.elasticsearch_config import ElasticsearchConfig
+from configs.middleware.vdb.lindorm_config import LindormConfig
 from configs.middleware.vdb.milvus_config import MilvusConfig
 from configs.middleware.vdb.myscale_config import MyScaleConfig
 from configs.middleware.vdb.oceanbase_config import OceanBaseVectorConfig
@@ -259,6 +260,7 @@ class MiddlewareConfig(
     VikingDBConfig,
     UpstashConfig,
     TidbOnQdrantConfig,
+    LindormConfig,
     OceanBaseVectorConfig,
     BaiduVectorDBConfig,
 ):

api/configs/middleware/vdb/lindorm_config.py

@@ -0,0 +1,23 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class LindormConfig(BaseSettings):
+    """
+    Lindorm configs
+    """
+
+    LINDORM_URL: Optional[str] = Field(
+        description="Lindorm url",
+        default=None,
+    )
+    LINDORM_USERNAME: Optional[str] = Field(
+        description="Lindorm user",
+        default=None,
+    )
+    LINDORM_PASSWORD: Optional[str] = Field(
+        description="Lindorm password",
+        default=None,
+    )

api/configs/packaging/__init__.py

@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.10.2",
+        default="0.11.1",
     )
 
     COMMIT_SHA: str = Field(

api/constants/languages.py

@@ -17,6 +17,7 @@ language_timezone_mapping = {
     "hi-IN": "Asia/Kolkata",
     "tr-TR": "Europe/Istanbul",
     "fa-IR": "Asia/Tehran",
+    "sl-SI": "Europe/Ljubljana",
 }
 
 languages = list(language_timezone_mapping.keys())

api/controllers/common/fields.py

@@ -0,0 +1,24 @@
+from flask_restful import fields
+
+parameters__system_parameters = {
+    "image_file_size_limit": fields.Integer,
+    "video_file_size_limit": fields.Integer,
+    "audio_file_size_limit": fields.Integer,
+    "file_size_limit": fields.Integer,
+    "workflow_file_upload_limit": fields.Integer,
+}
+
+parameters_fields = {
+    "opening_statement": fields.String,
+    "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,
+    "file_upload": fields.Raw,
+    "system_parameters": fields.Nested(parameters__system_parameters),
+}

api/controllers/common/helpers.py

@@ -2,11 +2,15 @@ import mimetypes
 import os
 import re
 import urllib.parse
+from collections.abc import Mapping
+from typing import Any
 from uuid import uuid4
 
 import httpx
 from pydantic import BaseModel
 
+from configs import dify_config
+
 
 class FileInfo(BaseModel):
     filename: str
@@ -56,3 +60,38 @@ def guess_file_info_from_response(response: httpx.Response):
         mimetype=mimetype,
         size=int(response.headers.get("Content-Length", -1)),
     )
+
+
+def get_parameters_from_feature_dict(*, features_dict: Mapping[str, Any], user_input_form: list[dict[str, Any]]):
+    return {
+        "opening_statement": features_dict.get("opening_statement"),
+        "suggested_questions": features_dict.get("suggested_questions", []),
+        "suggested_questions_after_answer": features_dict.get("suggested_questions_after_answer", {"enabled": False}),
+        "speech_to_text": features_dict.get("speech_to_text", {"enabled": False}),
+        "text_to_speech": features_dict.get("text_to_speech", {"enabled": False}),
+        "retriever_resource": features_dict.get("retriever_resource", {"enabled": False}),
+        "annotation_reply": features_dict.get("annotation_reply", {"enabled": False}),
+        "more_like_this": features_dict.get("more_like_this", {"enabled": False}),
+        "user_input_form": user_input_form,
+        "sensitive_word_avoidance": features_dict.get(
+            "sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []}
+        ),
+        "file_upload": features_dict.get(
+            "file_upload",
+            {
+                "image": {
+                    "enabled": False,
+                    "number_limits": 3,
+                    "detail": "high",
+                    "transfer_methods": ["remote_url", "local_file"],
+                }
+            },
+        ),
+        "system_parameters": {
+            "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
+            "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
+            "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
+            "file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
+            "workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT,
+        },
+    }

api/controllers/console/app/app.py

@@ -9,6 +9,7 @@ from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import (
     account_initialization_required,
     cloud_edition_billing_resource_check,
+    enterprise_license_required,
     setup_required,
 )
 from core.ops.ops_trace_manager import OpsTraceManager
@@ -28,6 +29,7 @@ class AppListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @enterprise_license_required
     def get(self):
         """Get app list"""
 
@@ -149,6 +151,7 @@ class AppApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @enterprise_license_required
     @get_app_model
     @marshal_with(app_detail_fields_with_site)
     def get(self, app_model):

api/controllers/console/app/audio.py

@@ -70,7 +70,7 @@ class ChatMessageAudioApi(Resource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception(f"internal server error, {str(e)}.")
+            logging.exception("Failed to handle post request to ChatMessageAudioApi")
             raise InternalServerError()
 
 
@@ -128,7 +128,7 @@ class ChatMessageTextApi(Resource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception(f"internal server error, {str(e)}.")
+            logging.exception("Failed to handle post request to ChatMessageTextApi")
             raise InternalServerError()
 
 
@@ -170,7 +170,7 @@ class TextModesApi(Resource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception(f"internal server error, {str(e)}.")
+            logging.exception("Failed to handle get request to TextModesApi")
             raise InternalServerError()
 
 

api/controllers/console/datasets/datasets.py

@@ -10,7 +10,7 @@ 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 DatasetInUseError, DatasetNameDuplicateError, IndexingEstimateError
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
@@ -44,6 +44,7 @@ class DatasetListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @enterprise_license_required
     def get(self):
         page = request.args.get("page", default=1, type=int)
         limit = request.args.get("limit", default=20, type=int)
@@ -456,7 +457,7 @@ class DatasetIndexingEstimateApi(Resource):
             )
         except LLMBadRequestError:
             raise ProviderNotInitializeError(
-                "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                "No Embedding Model available. Please configure a valid provider " "in the Settings -> Model Provider."
             )
         except ProviderTokenNotInitError as ex:
             raise ProviderNotInitializeError(ex.description)
@@ -620,6 +621,7 @@ class DatasetRetrievalSettingApi(Resource):
             case (
                 VectorType.MILVUS
                 | VectorType.RELYT
+                | VectorType.PGVECTOR
                 | VectorType.TIDB_VECTOR
                 | VectorType.CHROMA
                 | VectorType.TENCENT
@@ -640,6 +642,7 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.ELASTICSEARCH
                 | VectorType.PGVECTOR
                 | VectorType.TIDB_ON_QDRANT
+                | VectorType.LINDORM
                 | VectorType.COUCHBASE
             ):
                 return {
@@ -682,6 +685,7 @@ class DatasetRetrievalSettingMockApi(Resource):
                 | VectorType.ELASTICSEARCH
                 | VectorType.COUCHBASE
                 | VectorType.PGVECTOR
+                | VectorType.LINDORM
             ):
                 return {
                     "retrieval_method": [

api/controllers/console/datasets/datasets_document.py

@@ -317,8 +317,11 @@ class DatasetInitApi(Resource):
                 raise ValueError("embedding model and embedding model provider are required for high quality indexing.")
             try:
                 model_manager = ModelManager()
-                model_manager.get_default_model_instance(
-                    tenant_id=current_user.current_tenant_id, model_type=ModelType.TEXT_EMBEDDING
+                model_manager.get_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    provider=args["embedding_model_provider"],
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=args["embedding_model"],
                 )
             except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(
@@ -945,7 +948,7 @@ class DocumentRetryApi(DocumentResource):
                     raise DocumentAlreadyFinishedError()
                 retry_documents.append(document)
             except Exception as e:
-                logging.error(f"Document {document_id} retry failed: {str(e)}")
+                logging.exception(f"Failed to retry document, document id: {document_id}")
                 continue
         # retry document
         DocumentService.retry_document(dataset_id, retry_documents)

api/controllers/console/error.py

@@ -62,3 +62,33 @@ class EmailSendIpLimitError(BaseHTTPException):
     error_code = "email_send_ip_limit"
     description = "Too many emails have been sent from this IP address recently. Please try again later."
     code = 429
+
+
+class FileTooLargeError(BaseHTTPException):
+    error_code = "file_too_large"
+    description = "File size exceeded. {message}"
+    code = 413
+
+
+class UnsupportedFileTypeError(BaseHTTPException):
+    error_code = "unsupported_file_type"
+    description = "File type not allowed."
+    code = 415
+
+
+class TooManyFilesError(BaseHTTPException):
+    error_code = "too_many_files"
+    description = "Only one file is allowed."
+    code = 400
+
+
+class NoFileUploadedError(BaseHTTPException):
+    error_code = "no_file_uploaded"
+    description = "Please upload your file."
+    code = 400
+
+
+class UnauthorizedAndForceLogout(BaseHTTPException):
+    error_code = "unauthorized_and_force_logout"
+    description = "Unauthorized and force logout."
+    code = 401

api/controllers/console/explore/parameter.py

@@ -1,6 +1,7 @@
-from flask_restful import fields, marshal_with
+from flask_restful import marshal_with
 
-from configs import dify_config
+from controllers.common import fields
+from controllers.common import helpers as controller_helpers
 from controllers.console import api
 from controllers.console.app.error import AppUnavailableError
 from controllers.console.explore.wraps import InstalledAppResource
@@ -11,43 +12,14 @@ from services.app_service import AppService
 class AppParameterApi(InstalledAppResource):
     """Resource for app variables."""
 
-    variable_fields = {
-        "key": fields.String,
-        "name": fields.String,
-        "description": fields.String,
-        "type": fields.String,
-        "default": fields.String,
-        "max_length": fields.Integer,
-        "options": fields.List(fields.String),
-    }
-
-    system_parameters_fields = {
-        "image_file_size_limit": fields.Integer,
-        "video_file_size_limit": fields.Integer,
-        "audio_file_size_limit": fields.Integer,
-        "file_size_limit": fields.Integer,
-    }
-
-    parameters_fields = {
-        "opening_statement": fields.String,
-        "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,
-        "file_upload": fields.Raw,
-        "system_parameters": fields.Nested(system_parameters_fields),
-    }
-
-    @marshal_with(parameters_fields)
+    @marshal_with(fields.parameters_fields)
     def get(self, installed_app: InstalledApp):
         """Retrieve app parameters."""
         app_model = installed_app.app
 
+        if app_model is None:
+            raise AppUnavailableError()
+
         if app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
             workflow = app_model.workflow
             if workflow is None:
@@ -57,43 +29,16 @@ class AppParameterApi(InstalledAppResource):
             user_input_form = workflow.user_input_form(to_old_structure=True)
         else:
             app_model_config = app_model.app_model_config
+            if app_model_config is None:
+                raise AppUnavailableError()
+
             features_dict = app_model_config.to_dict()
 
             user_input_form = features_dict.get("user_input_form", [])
 
-        return {
-            "opening_statement": features_dict.get("opening_statement"),
-            "suggested_questions": features_dict.get("suggested_questions", []),
-            "suggested_questions_after_answer": features_dict.get(
-                "suggested_questions_after_answer", {"enabled": False}
-            ),
-            "speech_to_text": features_dict.get("speech_to_text", {"enabled": False}),
-            "text_to_speech": features_dict.get("text_to_speech", {"enabled": False}),
-            "retriever_resource": features_dict.get("retriever_resource", {"enabled": False}),
-            "annotation_reply": features_dict.get("annotation_reply", {"enabled": False}),
-            "more_like_this": features_dict.get("more_like_this", {"enabled": False}),
-            "user_input_form": user_input_form,
-            "sensitive_word_avoidance": features_dict.get(
-                "sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []}
-            ),
-            "file_upload": features_dict.get(
-                "file_upload",
-                {
-                    "image": {
-                        "enabled": False,
-                        "number_limits": 3,
-                        "detail": "high",
-                        "transfer_methods": ["remote_url", "local_file"],
-                    }
-                },
-            ),
-            "system_parameters": {
-                "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
-                "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
-                "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
-                "file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
-            },
-        }
+        return controller_helpers.get_parameters_from_feature_dict(
+            features_dict=features_dict, user_input_form=user_input_form
+        )
 
 
 class ExploreAppMetaApi(InstalledAppResource):

api/controllers/console/files.py

@@ -15,7 +15,7 @@ from fields.file_fields import file_fields, upload_config_fields
 from libs.login import login_required
 from services.file_service import FileService
 
-from .errors import (
+from .error import (
     FileTooLargeError,
     NoFileUploadedError,
     TooManyFilesError,
@@ -37,6 +37,7 @@ class FileApi(Resource):
             "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
             "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
             "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
+            "workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT,
         }, 200
 
     @setup_required

api/controllers/console/files/errors.py

@@ -1,25 +0,0 @@
-from libs.exception import BaseHTTPException
-
-
-class FileTooLargeError(BaseHTTPException):
-    error_code = "file_too_large"
-    description = "File size exceeded. {message}"
-    code = 413
-
-
-class UnsupportedFileTypeError(BaseHTTPException):
-    error_code = "unsupported_file_type"
-    description = "File type not allowed."
-    code = 415
-
-
-class TooManyFilesError(BaseHTTPException):
-    error_code = "too_many_files"
-    description = "Only one file is allowed."
-    code = 400
-
-
-class NoFileUploadedError(BaseHTTPException):
-    error_code = "no_file_uploaded"
-    description = "Please upload your file."
-    code = 400

api/controllers/console/remote_files.py

@@ -1,9 +1,11 @@
 import urllib.parse
 from typing import cast
 
+import httpx
 from flask_login import current_user
 from flask_restful import Resource, marshal_with, reqparse
 
+import services
 from controllers.common import helpers
 from core.file import helpers as file_helpers
 from core.helper import ssrf_proxy
@@ -11,19 +13,25 @@ from fields.file_fields import file_fields_with_signed_url, remote_file_info_fie
 from models.account import Account
 from services.file_service import FileService
 
+from .error import (
+    FileTooLargeError,
+    UnsupportedFileTypeError,
+)
+
 
 class RemoteFileInfoApi(Resource):
     @marshal_with(remote_file_info_fields)
     def get(self, url):
         decoded_url = urllib.parse.unquote(url)
-        try:
-            response = ssrf_proxy.head(decoded_url)
-            return {
-                "file_type": response.headers.get("Content-Type", "application/octet-stream"),
-                "file_length": int(response.headers.get("Content-Length", 0)),
-            }
-        except Exception as e:
-            return {"error": str(e)}, 400
+        resp = ssrf_proxy.head(decoded_url)
+        if resp.status_code != httpx.codes.OK:
+            # failed back to get method
+            resp = ssrf_proxy.get(decoded_url, timeout=3)
+        resp.raise_for_status()
+        return {
+            "file_type": resp.headers.get("Content-Type", "application/octet-stream"),
+            "file_length": int(resp.headers.get("Content-Length", 0)),
+        }
 
 
 class RemoteFileUploadApi(Resource):
@@ -35,17 +43,17 @@ class RemoteFileUploadApi(Resource):
 
         url = args["url"]
 
-        response = ssrf_proxy.head(url)
-        response.raise_for_status()
+        resp = ssrf_proxy.head(url=url)
+        if resp.status_code != httpx.codes.OK:
+            resp = ssrf_proxy.get(url=url, timeout=3)
+        resp.raise_for_status()
 
-        file_info = helpers.guess_file_info_from_response(response)
+        file_info = helpers.guess_file_info_from_response(resp)
 
         if not FileService.is_file_size_within_limit(extension=file_info.extension, file_size=file_info.size):
-            return {"error": "File size exceeded"}, 400
+            raise FileTooLargeError
 
-        response = ssrf_proxy.get(url)
-        response.raise_for_status()
-        content = response.content
+        content = resp.content if resp.request.method == "GET" else ssrf_proxy.get(url).content
 
         try:
             user = cast(Account, current_user)
@@ -56,8 +64,10 @@ class RemoteFileUploadApi(Resource):
                 user=user,
                 source_url=url,
             )
-        except Exception as e:
-            return {"error": str(e)}, 400
+        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,

api/controllers/console/workspace/account.py

@@ -14,7 +14,7 @@ from controllers.console.workspace.error import (
     InvalidInvitationCodeError,
     RepeatPasswordNotMatchError,
 )
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from extensions.ext_database import db
 from fields.member_fields import account_fields
 from libs.helper import TimestampField, timezone
@@ -79,6 +79,7 @@ class AccountProfileApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(account_fields)
+    @enterprise_license_required
     def get(self):
         return current_user
 

api/controllers/console/workspace/models.py

@@ -72,7 +72,10 @@ class DefaultModelApi(Resource):
                     model=model_setting["model"],
                 )
             except Exception as ex:
-                logging.exception(f"{model_setting['model_type']} save error: {ex}")
+                logging.exception(
+                    f"Failed to update default model, model type: {model_setting['model_type']},"
+                    f" model:{model_setting.get('model')}"
+                )
                 raise ex
 
         return {"result": "success"}
@@ -156,7 +159,10 @@ class ModelProviderModelApi(Resource):
                         credentials=args["credentials"],
                     )
                 except CredentialsValidateFailedError as ex:
-                    logging.exception(f"save model credentials error: {ex}")
+                    logging.exception(
+                        f"Failed to save model credentials, tenant_id: {tenant_id},"
+                        f" model: {args.get('model')}, model_type: {args.get('model_type')}"
+                    )
                     raise ValueError(str(ex))
 
         return {"result": "success"}, 200

api/controllers/console/workspace/tool_providers.py

@@ -7,7 +7,7 @@ from werkzeug.exceptions import Forbidden
 
 from configs import dify_config
 from controllers.console import api
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from core.model_runtime.utils.encoders import jsonable_encoder
 from libs.helper import alphanumeric, uuid_value
 from libs.login import login_required
@@ -549,6 +549,7 @@ class ToolLabelsApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @enterprise_license_required
     def get(self):
         return jsonable_encoder(ToolLabelsService.list_tool_labels())
 

api/controllers/console/wraps.py

@@ -8,10 +8,10 @@ from flask_login import current_user
 from configs import dify_config
 from controllers.console.workspace.error import AccountNotInitializedError
 from models.model import DifySetup
-from services.feature_service import FeatureService
+from services.feature_service import FeatureService, LicenseStatus
 from services.operation_service import OperationService
 
-from .error import NotInitValidateError, NotSetupError
+from .error import NotInitValidateError, NotSetupError, UnauthorizedAndForceLogout
 
 
 def account_initialization_required(view):
@@ -142,3 +142,15 @@ def setup_required(view):
         return view(*args, **kwargs)
 
     return decorated
+
+
+def enterprise_license_required(view):
+    @wraps(view)
+    def decorated(*args, **kwargs):
+        settings = FeatureService.get_system_features()
+        if settings.license.status in [LicenseStatus.INACTIVE, LicenseStatus.EXPIRED, LicenseStatus.LOST]:
+            raise UnauthorizedAndForceLogout("Your license is invalid. Please contact your administrator.")
+
+        return view(*args, **kwargs)
+
+    return decorated

api/controllers/service_api/app/app.py

@@ -1,6 +1,7 @@
-from flask_restful import Resource, fields, marshal_with
+from flask_restful import Resource, marshal_with
 
-from configs import dify_config
+from controllers.common import fields
+from controllers.common import helpers as controller_helpers
 from controllers.service_api import api
 from controllers.service_api.app.error import AppUnavailableError
 from controllers.service_api.wraps import validate_app_token
@@ -11,40 +12,8 @@ from services.app_service import AppService
 class AppParameterApi(Resource):
     """Resource for app variables."""
 
-    variable_fields = {
-        "key": fields.String,
-        "name": fields.String,
-        "description": fields.String,
-        "type": fields.String,
-        "default": fields.String,
-        "max_length": fields.Integer,
-        "options": fields.List(fields.String),
-    }
-
-    system_parameters_fields = {
-        "image_file_size_limit": fields.Integer,
-        "video_file_size_limit": fields.Integer,
-        "audio_file_size_limit": fields.Integer,
-        "file_size_limit": fields.Integer,
-    }
-
-    parameters_fields = {
-        "opening_statement": fields.String,
-        "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,
-        "file_upload": fields.Raw,
-        "system_parameters": fields.Nested(system_parameters_fields),
-    }
-
     @validate_app_token
-    @marshal_with(parameters_fields)
+    @marshal_with(fields.parameters_fields)
     def get(self, app_model: App):
         """Retrieve app parameters."""
         if app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
@@ -56,43 +25,16 @@ class AppParameterApi(Resource):
             user_input_form = workflow.user_input_form(to_old_structure=True)
         else:
             app_model_config = app_model.app_model_config
+            if app_model_config is None:
+                raise AppUnavailableError()
+
             features_dict = app_model_config.to_dict()
 
             user_input_form = features_dict.get("user_input_form", [])
 
-        return {
-            "opening_statement": features_dict.get("opening_statement"),
-            "suggested_questions": features_dict.get("suggested_questions", []),
-            "suggested_questions_after_answer": features_dict.get(
-                "suggested_questions_after_answer", {"enabled": False}
-            ),
-            "speech_to_text": features_dict.get("speech_to_text", {"enabled": False}),
-            "text_to_speech": features_dict.get("text_to_speech", {"enabled": False}),
-            "retriever_resource": features_dict.get("retriever_resource", {"enabled": False}),
-            "annotation_reply": features_dict.get("annotation_reply", {"enabled": False}),
-            "more_like_this": features_dict.get("more_like_this", {"enabled": False}),
-            "user_input_form": user_input_form,
-            "sensitive_word_avoidance": features_dict.get(
-                "sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []}
-            ),
-            "file_upload": features_dict.get(
-                "file_upload",
-                {
-                    "image": {
-                        "enabled": False,
-                        "number_limits": 3,
-                        "detail": "high",
-                        "transfer_methods": ["remote_url", "local_file"],
-                    }
-                },
-            ),
-            "system_parameters": {
-                "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
-                "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
-                "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
-                "file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
-            },
-        }
+        return controller_helpers.get_parameters_from_feature_dict(
+            features_dict=features_dict, user_input_form=user_input_form
+        )
 
 
 class AppMetaApi(Resource):

api/controllers/service_api/app/conversation.py

@@ -7,7 +7,11 @@ from controllers.service_api import api
 from controllers.service_api.app.error import NotChatAppError
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.app.entities.app_invoke_entities import InvokeFrom
-from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
+from fields.conversation_fields import (
+    conversation_delete_fields,
+    conversation_infinite_scroll_pagination_fields,
+    simple_conversation_fields,
+)
 from libs.helper import uuid_value
 from models.model import App, AppMode, EndUser
 from services.conversation_service import ConversationService
@@ -49,7 +53,7 @@ class ConversationApi(Resource):
 
 class ConversationDetailApi(Resource):
     @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
-    @marshal_with(simple_conversation_fields)
+    @marshal_with(conversation_delete_fields)
     def delete(self, app_model: App, end_user: EndUser, c_id):
         app_mode = AppMode.value_of(app_model.mode)
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:

api/controllers/service_api/app/file.py

@@ -41,7 +41,6 @@ class FileApi(Resource):
                 content=file.read(),
                 mimetype=file.mimetype,
                 user=end_user,
-                source="datasets",
             )
         except services.errors.file.FileTooLargeError as file_too_large_error:
             raise FileTooLargeError(file_too_large_error.description)

api/controllers/service_api/app/message.py

@@ -10,6 +10,7 @@ from controllers.service_api.app.error import NotChatAppError
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.app.entities.app_invoke_entities import InvokeFrom
 from fields.conversation_fields import message_file_fields
+from fields.raws import FilesContainedField
 from libs.helper import TimestampField, uuid_value
 from models.model import App, AppMode, EndUser
 from services.errors.message import SuggestedQuestionsAfterAnswerDisabledError
@@ -55,7 +56,7 @@ class MessageListApi(Resource):
         "id": fields.String,
         "conversation_id": fields.String,
         "parent_message_id": fields.String,
-        "inputs": fields.Raw,
+        "inputs": FilesContainedField,
         "query": fields.String,
         "answer": fields.String(attribute="re_sign_file_url_answer"),
         "message_files": fields.List(fields.Nested(message_file_fields)),

api/controllers/web/app.py

@@ -1,6 +1,7 @@
-from flask_restful import fields, marshal_with
+from flask_restful import marshal_with
 
-from configs import dify_config
+from controllers.common import fields
+from controllers.common import helpers as controller_helpers
 from controllers.web import api
 from controllers.web.error import AppUnavailableError
 from controllers.web.wraps import WebApiResource
@@ -11,39 +12,7 @@ from services.app_service import AppService
 class AppParameterApi(WebApiResource):
     """Resource for app variables."""
 
-    variable_fields = {
-        "key": fields.String,
-        "name": fields.String,
-        "description": fields.String,
-        "type": fields.String,
-        "default": fields.String,
-        "max_length": fields.Integer,
-        "options": fields.List(fields.String),
-    }
-
-    system_parameters_fields = {
-        "image_file_size_limit": fields.Integer,
-        "video_file_size_limit": fields.Integer,
-        "audio_file_size_limit": fields.Integer,
-        "file_size_limit": fields.Integer,
-    }
-
-    parameters_fields = {
-        "opening_statement": fields.String,
-        "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,
-        "file_upload": fields.Raw,
-        "system_parameters": fields.Nested(system_parameters_fields),
-    }
-
-    @marshal_with(parameters_fields)
+    @marshal_with(fields.parameters_fields)
     def get(self, app_model: App, end_user):
         """Retrieve app parameters."""
         if app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
@@ -55,43 +24,16 @@ class AppParameterApi(WebApiResource):
             user_input_form = workflow.user_input_form(to_old_structure=True)
         else:
             app_model_config = app_model.app_model_config
+            if app_model_config is None:
+                raise AppUnavailableError()
+
             features_dict = app_model_config.to_dict()
 
             user_input_form = features_dict.get("user_input_form", [])
 
-        return {
-            "opening_statement": features_dict.get("opening_statement"),
-            "suggested_questions": features_dict.get("suggested_questions", []),
-            "suggested_questions_after_answer": features_dict.get(
-                "suggested_questions_after_answer", {"enabled": False}
-            ),
-            "speech_to_text": features_dict.get("speech_to_text", {"enabled": False}),
-            "text_to_speech": features_dict.get("text_to_speech", {"enabled": False}),
-            "retriever_resource": features_dict.get("retriever_resource", {"enabled": False}),
-            "annotation_reply": features_dict.get("annotation_reply", {"enabled": False}),
-            "more_like_this": features_dict.get("more_like_this", {"enabled": False}),
-            "user_input_form": user_input_form,
-            "sensitive_word_avoidance": features_dict.get(
-                "sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []}
-            ),
-            "file_upload": features_dict.get(
-                "file_upload",
-                {
-                    "image": {
-                        "enabled": False,
-                        "number_limits": 3,
-                        "detail": "high",
-                        "transfer_methods": ["remote_url", "local_file"],
-                    }
-                },
-            ),
-            "system_parameters": {
-                "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
-                "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
-                "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
-                "file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
-            },
-        }
+        return controller_helpers.get_parameters_from_feature_dict(
+            features_dict=features_dict, user_input_form=user_input_form
+        )
 
 
 class AppMeta(WebApiResource):

api/controllers/web/audio.py

@@ -59,7 +59,7 @@ class AudioApi(WebApiResource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception(f"internal server error: {str(e)}")
+            logging.exception("Failed to handle post request to AudioApi")
             raise InternalServerError()
 
 
@@ -117,7 +117,7 @@ class TextApi(WebApiResource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception(f"internal server error: {str(e)}")
+            logging.exception("Failed to handle post request to TextApi")
             raise InternalServerError()
 
 

api/controllers/web/remote_files.py

@@ -1,7 +1,9 @@
 import urllib.parse
 
+import httpx
 from flask_restful import marshal_with, reqparse
 
+import services
 from controllers.common import helpers
 from controllers.web.wraps import WebApiResource
 from core.file import helpers as file_helpers
@@ -9,19 +11,22 @@ from core.helper import ssrf_proxy
 from fields.file_fields import file_fields_with_signed_url, remote_file_info_fields
 from services.file_service import FileService
 
+from .error import FileTooLargeError, UnsupportedFileTypeError
+
 
 class RemoteFileInfoApi(WebApiResource):
     @marshal_with(remote_file_info_fields)
-    def get(self, url):
+    def get(self, app_model, end_user, url):
         decoded_url = urllib.parse.unquote(url)
-        try:
-            response = ssrf_proxy.head(decoded_url)
-            return {
-                "file_type": response.headers.get("Content-Type", "application/octet-stream"),
-                "file_length": int(response.headers.get("Content-Length", -1)),
-            }
-        except Exception as e:
-            return {"error": str(e)}, 400
+        resp = ssrf_proxy.head(decoded_url)
+        if resp.status_code != httpx.codes.OK:
+            # failed back to get method
+            resp = ssrf_proxy.get(decoded_url, timeout=3)
+        resp.raise_for_status()
+        return {
+            "file_type": resp.headers.get("Content-Type", "application/octet-stream"),
+            "file_length": int(resp.headers.get("Content-Length", -1)),
+        }
 
 
 class RemoteFileUploadApi(WebApiResource):
@@ -33,28 +38,30 @@ class RemoteFileUploadApi(WebApiResource):
 
         url = args["url"]
 
-        response = ssrf_proxy.head(url)
-        response.raise_for_status()
+        resp = ssrf_proxy.head(url=url)
+        if resp.status_code != httpx.codes.OK:
+            resp = ssrf_proxy.get(url=url, timeout=3)
+        resp.raise_for_status()
 
-        file_info = helpers.guess_file_info_from_response(response)
+        file_info = helpers.guess_file_info_from_response(resp)
 
         if not FileService.is_file_size_within_limit(extension=file_info.extension, file_size=file_info.size):
-            return {"error": "File size exceeded"}, 400
+            raise FileTooLargeError
 
-        response = ssrf_proxy.get(url)
-        response.raise_for_status()
-        content = response.content
+        content = resp.content if resp.request.method == "GET" else ssrf_proxy.get(url).content
 
         try:
             upload_file = FileService.upload_file(
                 filename=file_info.filename,
                 content=content,
                 mimetype=file_info.mimetype,
-                user=end_user,  # Use end_user instead of current_user
+                user=end_user,
                 source_url=url,
             )
-        except Exception as e:
-            return {"error": str(e)}, 400
+        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,

api/core/agent/base_agent_runner.py

@@ -30,6 +30,7 @@ from core.model_runtime.entities import (
     ToolPromptMessage,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.model_runtime.entities.model_entities import ModelFeature
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.model_runtime.utils.encoders import jsonable_encoder
@@ -65,7 +66,7 @@ class BaseAgentRunner(AppRunner):
         prompt_messages: Optional[list[PromptMessage]] = None,
         variables_pool: Optional[ToolRuntimeVariablePool] = None,
         db_variables: Optional[ToolConversationVariables] = None,
-        model_instance: ModelInstance = None,
+        model_instance: ModelInstance | None = None,
     ) -> None:
         self.tenant_id = tenant_id
         self.application_generate_entity = application_generate_entity
@@ -508,24 +509,27 @@ class BaseAgentRunner(AppRunner):
 
     def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage:
         files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
-        if files:
-            file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
-
-            if file_extra_config:
-                file_objs = file_factory.build_from_message_files(
-                    message_files=files, tenant_id=self.tenant_id, config=file_extra_config
-                )
-            else:
-                file_objs = []
-
-            if not file_objs:
-                return UserPromptMessage(content=message.query)
-            else:
-                prompt_message_contents: list[PromptMessageContent] = []
-                prompt_message_contents.append(TextPromptMessageContent(data=message.query))
-                for file_obj in file_objs:
-                    prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
-
-                return UserPromptMessage(content=prompt_message_contents)
-        else:
+        if not files:
             return UserPromptMessage(content=message.query)
+        file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
+        if not file_extra_config:
+            return UserPromptMessage(content=message.query)
+
+        image_detail_config = file_extra_config.image_config.detail if file_extra_config.image_config else None
+        image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
+
+        file_objs = file_factory.build_from_message_files(
+            message_files=files, tenant_id=self.tenant_id, config=file_extra_config
+        )
+        if not file_objs:
+            return UserPromptMessage(content=message.query)
+        prompt_message_contents: list[PromptMessageContent] = []
+        prompt_message_contents.append(TextPromptMessageContent(data=message.query))
+        for file in file_objs:
+            prompt_message_contents.append(
+                file_manager.to_prompt_message_content(
+                    file,
+                    image_detail_config=image_detail_config,
+                )
+            )
+        return UserPromptMessage(content=prompt_message_contents)

api/core/agent/cot_chat_agent_runner.py

@@ -10,6 +10,7 @@ from core.model_runtime.entities import (
     TextPromptMessageContent,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.model_runtime.utils.encoders import jsonable_encoder
 
 
@@ -36,8 +37,24 @@ class CotChatAgentRunner(CotAgentRunner):
         if self.files:
             prompt_message_contents: list[PromptMessageContent] = []
             prompt_message_contents.append(TextPromptMessageContent(data=query))
-            for file_obj in self.files:
-                prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+
+            # get image detail config
+            image_detail_config = (
+                self.application_generate_entity.file_upload_config.image_config.detail
+                if (
+                    self.application_generate_entity.file_upload_config
+                    and self.application_generate_entity.file_upload_config.image_config
+                )
+                else None
+            )
+            image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
+            for file in self.files:
+                prompt_message_contents.append(
+                    file_manager.to_prompt_message_content(
+                        file,
+                        image_detail_config=image_detail_config,
+                    )
+                )
 
             prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
         else:

api/core/agent/fc_agent_runner.py

@@ -22,6 +22,7 @@ from core.model_runtime.entities import (
     ToolPromptMessage,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform
 from core.tools.entities.tool_entities import ToolInvokeMeta
 from core.tools.tool_engine import ToolEngine
@@ -397,8 +398,24 @@ class FunctionCallAgentRunner(BaseAgentRunner):
         if self.files:
             prompt_message_contents: list[PromptMessageContent] = []
             prompt_message_contents.append(TextPromptMessageContent(data=query))
-            for file_obj in self.files:
-                prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+
+            # get image detail config
+            image_detail_config = (
+                self.application_generate_entity.file_upload_config.image_config.detail
+                if (
+                    self.application_generate_entity.file_upload_config
+                    and self.application_generate_entity.file_upload_config.image_config
+                )
+                else None
+            )
+            image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
+            for file in self.files:
+                prompt_message_contents.append(
+                    file_manager.to_prompt_message_content(
+                        file,
+                        image_detail_config=image_detail_config,
+                    )
+                )
 
             prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
         else:

api/core/app/app_config/entities.py

@@ -4,7 +4,7 @@ from typing import Any, Optional
 
 from pydantic import BaseModel, Field, field_validator
 
-from core.file import FileExtraConfig, FileTransferMethod, FileType
+from core.file import FileTransferMethod, FileType, FileUploadConfig
 from core.model_runtime.entities.message_entities import PromptMessageRole
 from models.model import AppMode
 
@@ -211,7 +211,7 @@ class TracingConfigEntity(BaseModel):
 
 
 class AppAdditionalFeatures(BaseModel):
-    file_upload: Optional[FileExtraConfig] = None
+    file_upload: Optional[FileUploadConfig] = None
     opening_statement: Optional[str] = None
     suggested_questions: list[str] = []
     suggested_questions_after_answer: bool = False

api/core/app/app_config/features/file_upload/manager.py

@@ -1,8 +1,7 @@
 from collections.abc import Mapping
 from typing import Any
 
-from core.file.models import FileExtraConfig
-from models import FileUploadConfig
+from core.file import FileUploadConfig
 
 
 class FileUploadConfigManager:
@@ -30,15 +29,14 @@ class FileUploadConfigManager:
                 if is_vision:
                     data["image_config"]["detail"] = file_upload_dict.get("image", {}).get("detail", "low")
 
-                return FileExtraConfig.model_validate(data)
+                return FileUploadConfig.model_validate(data)
 
     @classmethod
-    def validate_and_set_defaults(cls, config: dict, is_vision: bool = True) -> tuple[dict, list[str]]:
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
         """
         Validate and set defaults for file upload feature
 
         :param config: app model config args
-        :param is_vision: if True, the feature is vision feature
         """
         if not config.get("file_upload"):
             config["file_upload"] = {}

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

@@ -52,9 +52,7 @@ class AdvancedChatAppConfigManager(BaseAppConfigManager):
         related_config_keys = []
 
         # file upload validation
-        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(
-            config=config, is_vision=False
-        )
+        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
         related_config_keys.extend(current_related_config_keys)
 
         # opening_statement

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

@@ -1,6 +1,5 @@
 import contextvars
 import logging
-import os
 import threading
 import uuid
 from collections.abc import Generator
@@ -10,6 +9,7 @@ from flask import Flask, current_app
 from pydantic import ValidationError
 
 import contexts
+from configs import dify_config
 from constants import UUID_NIL
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
 from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager
@@ -26,7 +26,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models.account import Account
-from models.enums import CreatedByRole
 from models.model import App, Conversation, EndUser, Message
 from models.workflow import Workflow
 
@@ -98,13 +97,10 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         # parse files
         files = args["files"] if args.get("files") else []
         file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
         if file_extra_config:
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -127,10 +123,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         application_generate_entity = AdvancedChatAppGenerateEntity(
             task_id=str(uuid.uuid4()),
             app_config=app_config,
+            file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
             inputs=conversation.inputs
             if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
@@ -317,7 +314,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
                 logger.exception("Validation Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except (ValueError, InvokeError) as e:
-                if os.environ.get("DEBUG", "false").lower() == "true":
+                if dify_config.DEBUG:
                     logger.exception("Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except Exception as e:
@@ -365,5 +362,5 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             if e.args[0] == "I/O operation on closed file.":  # ignore this error
                 raise GenerateTaskStoppedError()
             else:
-                logger.exception(e)
+                logger.exception(f"Failed to process generate task pipeline, conversation_id: {conversation.id}")
                 raise e

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

@@ -20,6 +20,7 @@ from core.app.entities.queue_entities import (
     QueueIterationStartEvent,
     QueueMessageReplaceEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
     QueueParallelBranchRunFailedEvent,
@@ -241,7 +242,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                     start_listener_time = time.time()
                     yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
             except Exception as e:
-                logger.error(e)
+                logger.exception(f"Failed to listen audio message, task_id: {task_id}")
                 break
         if tts_publisher:
             yield MessageAudioEndStreamResponse(audio="", task_id=task_id)
@@ -314,7 +315,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
 
                 if response:
                     yield response
-            elif isinstance(event, QueueNodeFailedEvent):
+            elif isinstance(event, QueueNodeFailedEvent | QueueNodeInIterationFailedEvent):
                 workflow_node_execution = self._handle_workflow_node_execution_failed(event)
 
                 response = self._workflow_node_finish_to_stream_response(

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

@@ -1,5 +1,4 @@
 import logging
-import os
 import threading
 import uuid
 from collections.abc import Generator
@@ -8,6 +7,7 @@ from typing import Any, Literal, Union, overload
 from flask import Flask, current_app
 from pydantic import ValidationError
 
+from configs import dify_config
 from constants import UUID_NIL
 from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
@@ -23,7 +23,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models import Account, App, EndUser
-from models.enums import CreatedByRole
 
 logger = logging.getLogger(__name__)
 
@@ -103,8 +102,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             # always enable retriever resource in debugger mode
             override_model_config_dict["retriever_resource"] = {"enabled": True}
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         files = args.get("files") or []
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
@@ -112,8 +109,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -135,10 +130,11 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             task_id=str(uuid.uuid4()),
             app_config=app_config,
             model_conf=ModelConfigConverter.convert(app_config),
+            file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
             inputs=conversation.inputs
             if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
@@ -230,7 +226,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
                 logger.exception("Validation Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except (ValueError, InvokeError) as e:
-                if os.environ.get("DEBUG") and os.environ.get("DEBUG").lower() == "true":
+                if dify_config.DEBUG:
                     logger.exception("Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except Exception as e:

api/core/app/apps/base_app_generator.py

@@ -2,12 +2,11 @@ from collections.abc import Mapping
 from typing import TYPE_CHECKING, Any, Optional
 
 from core.app.app_config.entities import VariableEntityType
-from core.file import File, FileExtraConfig
+from core.file import File, FileUploadConfig
 from factories import file_factory
 
 if TYPE_CHECKING:
     from core.app.app_config.entities import AppConfig, VariableEntity
-    from models.enums import CreatedByRole
 
 
 class BaseAppGenerator:
@@ -16,13 +15,14 @@ class BaseAppGenerator:
         *,
         user_inputs: Optional[Mapping[str, Any]],
         app_config: "AppConfig",
-        user_id: str,
-        role: "CreatedByRole",
     ) -> Mapping[str, Any]:
         user_inputs = user_inputs or {}
         # Filter input variables from form configuration, handle required fields, default values, and option values
         variables = app_config.variables
-        user_inputs = {var.variable: self._validate_input(inputs=user_inputs, var=var) for var in variables}
+        user_inputs = {
+            var.variable: self._validate_inputs(value=user_inputs.get(var.variable), variable_entity=var)
+            for var in variables
+        }
         user_inputs = {k: self._sanitize_value(v) for k, v in user_inputs.items()}
         # Convert files in inputs to File
         entity_dictionary = {item.variable: item for item in app_config.variables}
@@ -31,9 +31,7 @@ class BaseAppGenerator:
             k: file_factory.build_from_mapping(
                 mapping=v,
                 tenant_id=app_config.tenant_id,
-                user_id=user_id,
-                role=role,
-                config=FileExtraConfig(
+                config=FileUploadConfig(
                     allowed_file_types=entity_dictionary[k].allowed_file_types,
                     allowed_extensions=entity_dictionary[k].allowed_file_extensions,
                     allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
@@ -47,9 +45,7 @@ class BaseAppGenerator:
             k: file_factory.build_from_mappings(
                 mappings=v,
                 tenant_id=app_config.tenant_id,
-                user_id=user_id,
-                role=role,
-                config=FileExtraConfig(
+                config=FileUploadConfig(
                     allowed_file_types=entity_dictionary[k].allowed_file_types,
                     allowed_extensions=entity_dictionary[k].allowed_file_extensions,
                     allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
@@ -74,57 +70,69 @@ class BaseAppGenerator:
 
         return user_inputs
 
-    def _validate_input(self, *, inputs: Mapping[str, Any], var: "VariableEntity"):
-        user_input_value = inputs.get(var.variable)
+    def _validate_inputs(
+        self,
+        *,
+        variable_entity: "VariableEntity",
+        value: Any,
+    ):
+        if value is None:
+            if variable_entity.required:
+                raise ValueError(f"{variable_entity.variable} is required in input form")
+            return value
 
-        if not user_input_value:
-            if var.required:
-                raise ValueError(f"{var.variable} is required in input form")
-            else:
-                return None
-
-        if var.type in {
+        if variable_entity.type in {
             VariableEntityType.TEXT_INPUT,
             VariableEntityType.SELECT,
             VariableEntityType.PARAGRAPH,
-        } and not isinstance(user_input_value, str):
-            raise ValueError(f"(type '{var.type}') {var.variable} in input form must be a string")
+        } and not isinstance(value, str):
+            raise ValueError(
+                f"(type '{variable_entity.type}') {variable_entity.variable} in input form must be a string"
+            )
 
-        if var.type == VariableEntityType.NUMBER and isinstance(user_input_value, str):
+        if variable_entity.type == VariableEntityType.NUMBER and isinstance(value, str):
+            # handle empty string case
+            if not value.strip():
+                return None
             # may raise ValueError if user_input_value is not a valid number
             try:
-                if "." in user_input_value:
-                    return float(user_input_value)
+                if "." in value:
+                    return float(value)
                 else:
-                    return int(user_input_value)
+                    return int(value)
             except ValueError:
-                raise ValueError(f"{var.variable} in input form must be a valid number")
+                raise ValueError(f"{variable_entity.variable} in input form must be a valid number")
 
-        match var.type:
+        match variable_entity.type:
             case VariableEntityType.SELECT:
-                if user_input_value not in var.options:
-                    raise ValueError(f"{var.variable} in input form must be one of the following: {var.options}")
+                if value not in variable_entity.options:
+                    raise ValueError(
+                        f"{variable_entity.variable} in input form must be one of the following: "
+                        f"{variable_entity.options}"
+                    )
             case VariableEntityType.TEXT_INPUT | VariableEntityType.PARAGRAPH:
-                if var.max_length and len(user_input_value) > var.max_length:
-                    raise ValueError(f"{var.variable} in input form must be less than {var.max_length} characters")
+                if variable_entity.max_length and len(value) > variable_entity.max_length:
+                    raise ValueError(
+                        f"{variable_entity.variable} in input form must be less than {variable_entity.max_length} "
+                        "characters"
+                    )
             case VariableEntityType.FILE:
-                if not isinstance(user_input_value, dict) and not isinstance(user_input_value, File):
-                    raise ValueError(f"{var.variable} in input form must be a file")
+                if not isinstance(value, dict) and not isinstance(value, File):
+                    raise ValueError(f"{variable_entity.variable} in input form must be a file")
             case VariableEntityType.FILE_LIST:
                 # if number of files exceeds the limit, raise ValueError
                 if not (
-                    isinstance(user_input_value, list)
-                    and (
-                        all(isinstance(item, dict) for item in user_input_value)
-                        or all(isinstance(item, File) for item in user_input_value)
-                    )
+                    isinstance(value, list)
+                    and (all(isinstance(item, dict) for item in value) or all(isinstance(item, File) for item in value))
                 ):
-                    raise ValueError(f"{var.variable} in input form must be a list of files")
+                    raise ValueError(f"{variable_entity.variable} in input form must be a list of files")
 
-                if var.max_length and len(user_input_value) > var.max_length:
-                    raise ValueError(f"{var.variable} in input form must be less than {var.max_length} files")
+                if variable_entity.max_length and len(value) > variable_entity.max_length:
+                    raise ValueError(
+                        f"{variable_entity.variable} in input form must be less than {variable_entity.max_length} files"
+                    )
 
-        return user_input_value
+        return value
 
     def _sanitize_value(self, value: Any) -> Any:
         if isinstance(value, str):

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

@@ -1,5 +1,4 @@
 import logging
-import os
 import threading
 import uuid
 from collections.abc import Generator
@@ -8,6 +7,7 @@ from typing import Any, Literal, Union, overload
 from flask import Flask, current_app
 from pydantic import ValidationError
 
+from configs import dify_config
 from constants import UUID_NIL
 from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
@@ -23,7 +23,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models.account import Account
-from models.enums import CreatedByRole
 from models.model import App, EndUser
 
 logger = logging.getLogger(__name__)
@@ -101,8 +100,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             # always enable retriever resource in debugger mode
             override_model_config_dict["retriever_resource"] = {"enabled": True}
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         files = args["files"] if args.get("files") else []
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
@@ -110,8 +107,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -133,10 +128,11 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             task_id=str(uuid.uuid4()),
             app_config=app_config,
             model_conf=ModelConfigConverter.convert(app_config),
+            file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
             inputs=conversation.inputs
             if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
@@ -227,7 +223,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
                 logger.exception("Validation Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except (ValueError, InvokeError) as e:
-                if os.environ.get("DEBUG") and os.environ.get("DEBUG").lower() == "true":
+                if dify_config.DEBUG:
                     logger.exception("Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except Exception as e:

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

@@ -1,5 +1,4 @@
 import logging
-import os
 import threading
 import uuid
 from collections.abc import Generator
@@ -8,6 +7,7 @@ from typing import Any, Literal, Union, overload
 from flask import Flask, current_app
 from pydantic import ValidationError
 
+from configs import dify_config
 from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
 from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedError, PublishFrom
@@ -22,7 +22,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models import Account, App, EndUser, Message
-from models.enums import CreatedByRole
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.message import MessageNotExistsError
 
@@ -88,8 +87,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
                 tenant_id=app_model.tenant_id, config=args.get("model_config")
             )
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         files = args["files"] if args.get("files") else []
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
@@ -97,8 +94,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -110,7 +105,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         )
 
         # get tracing instance
-        user_id = user.id if isinstance(user, Account) else user.session_id
         trace_manager = TraceQueueManager(app_model.id)
 
         # init application generate entity
@@ -118,7 +112,8 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
             task_id=str(uuid.uuid4()),
             app_config=app_config,
             model_conf=ModelConfigConverter.convert(app_config),
-            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            file_upload_config=file_extra_config,
+            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             user_id=user.id,
@@ -203,7 +198,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
                 logger.exception("Validation Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except (ValueError, InvokeError) as e:
-                if os.environ.get("DEBUG") and os.environ.get("DEBUG").lower() == "true":
+                if dify_config.DEBUG:
                     logger.exception("Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except Exception as e:
@@ -259,14 +254,11 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         override_model_config_dict["model"] = model_dict
 
         # parse files
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict)
         if file_extra_config:
             file_objs = file_factory.build_from_mappings(
                 mappings=message.message_files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:

api/core/app/apps/message_based_app_generator.py

@@ -80,7 +80,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
             if e.args[0] == "I/O operation on closed file.":  # ignore this error
                 raise GenerateTaskStoppedError()
             else:
-                logger.exception(e)
+                logger.exception(f"Failed to handle response, conversation_id: {conversation.id}")
                 raise e
 
     def _get_conversation_by_user(

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

@@ -46,9 +46,7 @@ class WorkflowAppConfigManager(BaseAppConfigManager):
         related_config_keys = []
 
         # file upload validation
-        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(
-            config=config, is_vision=False
-        )
+        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
         related_config_keys.extend(current_related_config_keys)
 
         # text_to_speech

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

@@ -1,6 +1,5 @@
 import contextvars
 import logging
-import os
 import threading
 import uuid
 from collections.abc import Generator, Mapping, Sequence
@@ -10,6 +9,7 @@ from flask import Flask, current_app
 from pydantic import ValidationError
 
 import contexts
+from configs import dify_config
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
 from core.app.apps.base_app_generator import BaseAppGenerator
 from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedError, PublishFrom
@@ -25,7 +25,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models import Account, App, EndUser, Workflow
-from models.enums import CreatedByRole
 
 logger = logging.getLogger(__name__)
 
@@ -70,15 +69,11 @@ class WorkflowAppGenerator(BaseAppGenerator):
     ):
         files: Sequence[Mapping[str, Any]] = args.get("files") or []
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
         system_files = file_factory.build_from_mappings(
             mappings=files,
             tenant_id=app_model.tenant_id,
-            user_id=user.id,
-            role=role,
             config=file_extra_config,
         )
 
@@ -100,7 +95,8 @@ class WorkflowAppGenerator(BaseAppGenerator):
         application_generate_entity = WorkflowAppGenerateEntity(
             task_id=str(uuid.uuid4()),
             app_config=app_config,
-            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            file_upload_config=file_extra_config,
+            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             files=system_files,
             user_id=user.id,
             stream=stream,
@@ -261,7 +257,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
                 logger.exception("Validation Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except (ValueError, InvokeError) as e:
-                if os.environ.get("DEBUG") and os.environ.get("DEBUG", "false").lower() == "true":
+                if dify_config.DEBUG:
                     logger.exception("Error when generating")
                 queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
             except Exception as e:
@@ -302,5 +298,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             if e.args[0] == "I/O operation on closed file.":  # ignore this error
                 raise GenerateTaskStoppedError()
             else:
-                logger.exception(e)
+                logger.exception(
+                    f"Fails to process generate task pipeline, task_id: {application_generate_entity.task_id}"
+                )
                 raise e

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

@@ -16,6 +16,7 @@ from core.app.entities.queue_entities import (
     QueueIterationNextEvent,
     QueueIterationStartEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
     QueueParallelBranchRunFailedEvent,
@@ -215,7 +216,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
                 else:
                     yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
             except Exception as e:
-                logger.error(e)
+                logger.exception(f"Fails to get audio trunk, task_id: {task_id}")
                 break
         if tts_publisher:
             yield MessageAudioEndStreamResponse(audio="", task_id=task_id)
@@ -275,7 +276,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
 
                 if response:
                     yield response
-            elif isinstance(event, QueueNodeFailedEvent):
+            elif isinstance(event, QueueNodeFailedEvent | QueueNodeInIterationFailedEvent):
                 workflow_node_execution = self._handle_workflow_node_execution_failed(event)
 
                 response = self._workflow_node_finish_to_stream_response(

api/core/app/apps/workflow_app_runner.py

@@ -9,6 +9,7 @@ from core.app.entities.queue_entities import (
     QueueIterationNextEvent,
     QueueIterationStartEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
     QueueParallelBranchRunFailedEvent,
@@ -30,6 +31,7 @@ from core.workflow.graph_engine.entities.event import (
     IterationRunNextEvent,
     IterationRunStartedEvent,
     IterationRunSucceededEvent,
+    NodeInIterationFailedEvent,
     NodeRunFailedEvent,
     NodeRunRetrieverResourceEvent,
     NodeRunStartedEvent,
@@ -193,6 +195,7 @@ class WorkflowBasedAppRunner(AppRunner):
                     node_run_index=event.route_node_state.index,
                     predecessor_node_id=event.predecessor_node_id,
                     in_iteration_id=event.in_iteration_id,
+                    parallel_mode_run_id=event.parallel_mode_run_id,
                 )
             )
         elif isinstance(event, NodeRunSucceededEvent):
@@ -246,9 +249,40 @@ class WorkflowBasedAppRunner(AppRunner):
                     error=event.route_node_state.node_run_result.error
                     if event.route_node_state.node_run_result and event.route_node_state.node_run_result.error
                     else "Unknown error",
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
                     in_iteration_id=event.in_iteration_id,
                 )
             )
+        elif isinstance(event, NodeInIterationFailedEvent):
+            self._publish_event(
+                QueueNodeInIterationFailedEvent(
+                    node_execution_id=event.id,
+                    node_id=event.node_id,
+                    node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
+                    in_iteration_id=event.in_iteration_id,
+                    error=event.error,
+                )
+            )
         elif isinstance(event, NodeRunStreamChunkEvent):
             self._publish_event(
                 QueueTextChunkEvent(
@@ -326,6 +360,8 @@ class WorkflowBasedAppRunner(AppRunner):
                     index=event.index,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     output=event.pre_iteration_output,
+                    parallel_mode_run_id=event.parallel_mode_run_id,
+                    duration=event.duration,
                 )
             )
         elif isinstance(event, (IterationRunSucceededEvent | IterationRunFailedEvent)):

api/core/app/entities/app_invoke_entities.py

@@ -7,7 +7,7 @@ from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validat
 from constants import UUID_NIL
 from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig
 from core.entities.provider_configuration import ProviderModelBundle
-from core.file.models import File
+from core.file import File, FileUploadConfig
 from core.model_runtime.entities.model_entities import AIModelEntity
 from core.ops.ops_trace_manager import TraceQueueManager
 
@@ -80,6 +80,7 @@ class AppGenerateEntity(BaseModel):
 
     # app config
     app_config: AppConfig
+    file_upload_config: Optional[FileUploadConfig] = None
 
     inputs: Mapping[str, Any]
     files: Sequence[File]

api/core/app/entities/queue_entities.py

@@ -107,9 +107,11 @@ class QueueIterationNextEvent(AppQueueEvent):
     """parent parallel id if node is in parallel"""
     parent_parallel_start_node_id: Optional[str] = None
     """parent parallel start node id if node is in parallel"""
-
+    parallel_mode_run_id: Optional[str] = None
+    """iteratoin run in parallel mode run id"""
     node_run_index: int
     output: Optional[Any] = None  # output for the current iteration
+    duration: Optional[float] = None
 
     @field_validator("output", mode="before")
     @classmethod
@@ -273,6 +275,8 @@ class QueueNodeStartedEvent(AppQueueEvent):
     in_iteration_id: Optional[str] = None
     """iteration id if node is in iteration"""
     start_at: datetime
+    parallel_mode_run_id: Optional[str] = None
+    """iteratoin run in parallel mode run id"""
 
 
 class QueueNodeSucceededEvent(AppQueueEvent):
@@ -304,6 +308,39 @@ class QueueNodeSucceededEvent(AppQueueEvent):
     execution_metadata: Optional[dict[NodeRunMetadataKey, Any]] = None
 
     error: Optional[str] = None
+    """single iteration duration map"""
+    iteration_duration_map: Optional[dict[str, float]] = None
+
+
+class QueueNodeInIterationFailedEvent(AppQueueEvent):
+    """
+    QueueNodeInIterationFailedEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.NODE_FAILED
+
+    node_execution_id: str
+    node_id: str
+    node_type: NodeType
+    node_data: BaseNodeData
+    parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
+    start_at: datetime
+
+    inputs: Optional[dict[str, Any]] = None
+    process_data: Optional[dict[str, Any]] = None
+    outputs: Optional[dict[str, Any]] = None
+    execution_metadata: Optional[dict[NodeRunMetadataKey, Any]] = None
+
+    error: str
 
 
 class QueueNodeFailedEvent(AppQueueEvent):
@@ -332,6 +369,7 @@ class QueueNodeFailedEvent(AppQueueEvent):
     inputs: Optional[dict[str, Any]] = None
     process_data: Optional[dict[str, Any]] = None
     outputs: Optional[dict[str, Any]] = None
+    execution_metadata: Optional[dict[NodeRunMetadataKey, Any]] = None
 
     error: str
 

api/core/app/entities/task_entities.py

@@ -244,6 +244,7 @@ class NodeStartStreamResponse(StreamResponse):
         parent_parallel_id: Optional[str] = None
         parent_parallel_start_node_id: Optional[str] = None
         iteration_id: Optional[str] = None
+        parallel_run_id: Optional[str] = None
 
     event: StreamEvent = StreamEvent.NODE_STARTED
     workflow_run_id: str
@@ -432,6 +433,8 @@ class IterationNodeNextStreamResponse(StreamResponse):
         extras: dict = {}
         parallel_id: Optional[str] = None
         parallel_start_node_id: Optional[str] = None
+        parallel_mode_run_id: Optional[str] = None
+        duration: Optional[float] = None
 
     event: StreamEvent = StreamEvent.ITERATION_NEXT
     workflow_run_id: str

api/core/app/task_pipeline/message_cycle_manage.py

@@ -86,7 +86,7 @@ class MessageCycleManage:
                     conversation.name = name
                 except Exception as e:
                     if dify_config.DEBUG:
-                        logging.exception(f"generate conversation name failed: {e}")
+                        logging.exception(f"generate conversation name failed, conversation_id: {conversation_id}")
                     pass
 
                 db.session.merge(conversation)

api/core/app/task_pipeline/workflow_cycle_manage.py

@@ -12,6 +12,7 @@ from core.app.entities.queue_entities import (
     QueueIterationNextEvent,
     QueueIterationStartEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
     QueueParallelBranchRunFailedEvent,
@@ -35,6 +36,7 @@ from core.model_runtime.utils.encoders import jsonable_encoder
 from core.ops.entities.trace_entity import TraceTaskName
 from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
 from core.tools.tool_manager import ToolManager
+from core.workflow.entities.node_entities import NodeRunMetadataKey
 from core.workflow.enums import SystemVariableKey
 from core.workflow.nodes import NodeType
 from core.workflow.nodes.tool.entities import ToolNodeData
@@ -251,6 +253,12 @@ class WorkflowCycleManage:
             workflow_node_execution.status = WorkflowNodeExecutionStatus.RUNNING.value
             workflow_node_execution.created_by_role = workflow_run.created_by_role
             workflow_node_execution.created_by = workflow_run.created_by
+            workflow_node_execution.execution_metadata = json.dumps(
+                {
+                    NodeRunMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id,
+                    NodeRunMetadataKey.ITERATION_ID: event.in_iteration_id,
+                }
+            )
             workflow_node_execution.created_at = datetime.now(timezone.utc).replace(tzinfo=None)
 
             session.add(workflow_node_execution)
@@ -305,7 +313,9 @@ class WorkflowCycleManage:
 
         return workflow_node_execution
 
-    def _handle_workflow_node_execution_failed(self, event: QueueNodeFailedEvent) -> WorkflowNodeExecution:
+    def _handle_workflow_node_execution_failed(
+        self, event: QueueNodeFailedEvent | QueueNodeInIterationFailedEvent
+    ) -> WorkflowNodeExecution:
         """
         Workflow node execution failed
         :param event: queue node failed event
@@ -318,16 +328,19 @@ class WorkflowCycleManage:
         outputs = WorkflowEntry.handle_special_values(event.outputs)
         finished_at = datetime.now(timezone.utc).replace(tzinfo=None)
         elapsed_time = (finished_at - event.start_at).total_seconds()
-
+        execution_metadata = (
+            json.dumps(jsonable_encoder(event.execution_metadata)) if event.execution_metadata else None
+        )
         db.session.query(WorkflowNodeExecution).filter(WorkflowNodeExecution.id == workflow_node_execution.id).update(
             {
                 WorkflowNodeExecution.status: WorkflowNodeExecutionStatus.FAILED.value,
                 WorkflowNodeExecution.error: event.error,
                 WorkflowNodeExecution.inputs: json.dumps(inputs) if inputs else None,
-                WorkflowNodeExecution.process_data: json.dumps(process_data) if event.process_data else None,
+                WorkflowNodeExecution.process_data: json.dumps(event.process_data) if event.process_data else None,
                 WorkflowNodeExecution.outputs: json.dumps(outputs) if outputs else None,
                 WorkflowNodeExecution.finished_at: finished_at,
                 WorkflowNodeExecution.elapsed_time: elapsed_time,
+                WorkflowNodeExecution.execution_metadata: execution_metadata,
             }
         )
 
@@ -342,6 +355,7 @@ class WorkflowCycleManage:
         workflow_node_execution.outputs = json.dumps(outputs) if outputs else None
         workflow_node_execution.finished_at = finished_at
         workflow_node_execution.elapsed_time = elapsed_time
+        workflow_node_execution.execution_metadata = execution_metadata
 
         self._wip_workflow_node_executions.pop(workflow_node_execution.node_execution_id)
 
@@ -448,6 +462,7 @@ class WorkflowCycleManage:
                 parent_parallel_id=event.parent_parallel_id,
                 parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                 iteration_id=event.in_iteration_id,
+                parallel_run_id=event.parallel_mode_run_id,
             ),
         )
 
@@ -464,7 +479,7 @@ class WorkflowCycleManage:
 
     def _workflow_node_finish_to_stream_response(
         self,
-        event: QueueNodeSucceededEvent | QueueNodeFailedEvent,
+        event: QueueNodeSucceededEvent | QueueNodeFailedEvent | QueueNodeInIterationFailedEvent,
         task_id: str,
         workflow_node_execution: WorkflowNodeExecution,
     ) -> Optional[NodeFinishStreamResponse]:
@@ -608,6 +623,8 @@ class WorkflowCycleManage:
                 extras={},
                 parallel_id=event.parallel_id,
                 parallel_start_node_id=event.parallel_start_node_id,
+                parallel_mode_run_id=event.parallel_mode_run_id,
+                duration=event.duration,
             ),
         )
 
@@ -633,7 +650,9 @@ class WorkflowCycleManage:
                 created_at=int(time.time()),
                 extras={},
                 inputs=event.inputs or {},
-                status=WorkflowNodeExecutionStatus.SUCCEEDED,
+                status=WorkflowNodeExecutionStatus.SUCCEEDED
+                if event.error is None
+                else WorkflowNodeExecutionStatus.FAILED,
                 error=None,
                 elapsed_time=(datetime.now(timezone.utc).replace(tzinfo=None) - event.start_at).total_seconds(),
                 total_tokens=event.metadata.get("total_tokens", 0) if event.metadata else 0,

api/core/file/__init__.py

@@ -2,13 +2,13 @@ from .constants import FILE_MODEL_IDENTITY
 from .enums import ArrayFileAttribute, FileAttribute, FileBelongsTo, FileTransferMethod, FileType
 from .models import (
     File,
-    FileExtraConfig,
+    FileUploadConfig,
     ImageConfig,
 )
 
 __all__ = [
     "FileType",
-    "FileExtraConfig",
+    "FileUploadConfig",
     "FileTransferMethod",
     "FileBelongsTo",
     "File",

api/core/file/file_manager.py

@@ -3,7 +3,7 @@ import base64
 from configs import dify_config
 from core.file import file_repository
 from core.helper import ssrf_proxy
-from core.model_runtime.entities import AudioPromptMessageContent, ImagePromptMessageContent
+from core.model_runtime.entities import AudioPromptMessageContent, ImagePromptMessageContent, VideoPromptMessageContent
 from extensions.ext_database import db
 from extensions.ext_storage import storage
 
@@ -33,25 +33,28 @@ def get_attr(*, file: File, attr: FileAttribute):
             raise ValueError(f"Invalid file attribute: {attr}")
 
 
-def to_prompt_message_content(f: File, /):
+def to_prompt_message_content(
+    f: File,
+    /,
+    *,
+    image_detail_config: ImagePromptMessageContent.DETAIL = ImagePromptMessageContent.DETAIL.LOW,
+):
     """
-    Convert a File object to an ImagePromptMessageContent object.
+    Convert a File object to an ImagePromptMessageContent or AudioPromptMessageContent object.
 
-    This function takes a File object and converts it to an ImagePromptMessageContent
-    object, which can be used as a prompt for image-based AI models.
+    This function takes a File object and converts it to an appropriate PromptMessageContent
+    object, which can be used as a prompt for image or audio-based AI models.
 
     Args:
-        file (File): The File object to convert. Must be of type FileType.IMAGE.
+        f (File): The File object to convert.
+        detail (Optional[ImagePromptMessageContent.DETAIL]): The detail level for image prompts.
+            If not provided, defaults to ImagePromptMessageContent.DETAIL.LOW.
 
     Returns:
-        ImagePromptMessageContent: An object containing the image data and detail level.
+        Union[ImagePromptMessageContent, AudioPromptMessageContent]: An object containing the file data and detail level
 
     Raises:
-        ValueError: If the file is not an image or if the file data is missing.
-
-    Note:
-        The detail level of the image prompt is determined by the file's extra_config.
-        If not specified, it defaults to ImagePromptMessageContent.DETAIL.LOW.
+        ValueError: If the file type is not supported or if required data is missing.
     """
     match f.type:
         case FileType.IMAGE:
@@ -60,19 +63,20 @@ def to_prompt_message_content(f: File, /):
             else:
                 data = _to_base64_data_string(f)
 
-            if f._extra_config and f._extra_config.image_config and f._extra_config.image_config.detail:
-                detail = f._extra_config.image_config.detail
-            else:
-                detail = ImagePromptMessageContent.DETAIL.LOW
-
-            return ImagePromptMessageContent(data=data, detail=detail)
+            return ImagePromptMessageContent(data=data, detail=image_detail_config)
         case FileType.AUDIO:
             encoded_string = _file_to_encoded_string(f)
             if f.extension is None:
                 raise ValueError("Missing file extension")
             return AudioPromptMessageContent(data=encoded_string, format=f.extension.lstrip("."))
+        case FileType.VIDEO:
+            if dify_config.MULTIMODAL_SEND_VIDEO_FORMAT == "url":
+                data = _to_url(f)
+            else:
+                data = _to_base64_data_string(f)
+            return VideoPromptMessageContent(data=data, format=f.extension.lstrip("."))
         case _:
-            raise ValueError(f"file type {f.type} is not supported")
+            raise ValueError("file type f.type is not supported")
 
 
 def download(f: File, /):
@@ -112,7 +116,7 @@ def _download_file_content(path: str, /):
 def _get_encoded_string(f: File, /):
     match f.transfer_method:
         case FileTransferMethod.REMOTE_URL:
-            response = ssrf_proxy.get(f.remote_url)
+            response = ssrf_proxy.get(f.remote_url, follow_redirects=True)
             response.raise_for_status()
             content = response.content
             encoded_string = base64.b64encode(content).decode("utf-8")
@@ -140,6 +144,8 @@ def _file_to_encoded_string(f: File, /):
     match f.type:
         case FileType.IMAGE:
             return _to_base64_data_string(f)
+        case FileType.VIDEO:
+            return _to_base64_data_string(f)
         case FileType.AUDIO:
             return _get_encoded_string(f)
         case _:

api/core/file/models.py

@@ -21,7 +21,7 @@ class ImageConfig(BaseModel):
     detail: ImagePromptMessageContent.DETAIL | None = None
 
 
-class FileExtraConfig(BaseModel):
+class FileUploadConfig(BaseModel):
     """
     File Upload Entity.
     """
@@ -46,7 +46,6 @@ class File(BaseModel):
     extension: Optional[str] = Field(default=None, description="File extension, should contains dot")
     mime_type: Optional[str] = None
     size: int = -1
-    _extra_config: FileExtraConfig | None = None
 
     def to_dict(self) -> Mapping[str, str | int | None]:
         data = self.model_dump(mode="json")
@@ -107,34 +106,4 @@ class File(BaseModel):
             case FileTransferMethod.TOOL_FILE:
                 if not self.related_id:
                     raise ValueError("Missing file related_id")
-
-        # Validate the extra config.
-        if not self._extra_config:
-            return self
-
-        if self._extra_config.allowed_file_types:
-            if self.type not in self._extra_config.allowed_file_types and self.type != FileType.CUSTOM:
-                raise ValueError(f"Invalid file type: {self.type}")
-
-        if self._extra_config.allowed_extensions and self.extension not in self._extra_config.allowed_extensions:
-            raise ValueError(f"Invalid file extension: {self.extension}")
-
-        if (
-            self._extra_config.allowed_upload_methods
-            and self.transfer_method not in self._extra_config.allowed_upload_methods
-        ):
-            raise ValueError(f"Invalid transfer method: {self.transfer_method}")
-
-        match self.type:
-            case FileType.IMAGE:
-                # NOTE: This part of validation is deprecated, but still used in app features "Image Upload".
-                if not self._extra_config.image_config:
-                    return self
-                # TODO: skip check if transfer_methods is empty, because many test cases are not setting this field
-                if (
-                    self._extra_config.image_config.transfer_methods
-                    and self.transfer_method not in self._extra_config.image_config.transfer_methods
-                ):
-                    raise ValueError(f"Invalid transfer method: {self.transfer_method}")
-
         return self

api/core/helper/code_executor/__init__.py

@@ -0,0 +1,3 @@
+from .code_executor import CodeExecutor, CodeLanguage
+
+__all__ = ["CodeExecutor", "CodeLanguage"]

api/core/helper/code_executor/code_executor.py

@@ -1,7 +1,8 @@
 import logging
+from collections.abc import Mapping
 from enum import Enum
 from threading import Lock
-from typing import Optional
+from typing import Any, Optional
 
 from httpx import Timeout, post
 from pydantic import BaseModel
@@ -117,7 +118,7 @@ class CodeExecutor:
         return response.data.stdout or ""
 
     @classmethod
-    def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: dict) -> dict:
+    def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: Mapping[str, Any]) -> dict:
         """
         Execute code
         :param language: code language

api/core/helper/code_executor/template_transformer.py

@@ -2,6 +2,8 @@ import json
 import re
 from abc import ABC, abstractmethod
 from base64 import b64encode
+from collections.abc import Mapping
+from typing import Any
 
 
 class TemplateTransformer(ABC):
@@ -10,7 +12,7 @@ class TemplateTransformer(ABC):
     _result_tag: str = "<<RESULT>>"
 
     @classmethod
-    def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
+    def transform_caller(cls, code: str, inputs: Mapping[str, Any]) -> tuple[str, str]:
         """
         Transform code to python runner
         :param code: code
@@ -48,13 +50,13 @@ class TemplateTransformer(ABC):
         pass
 
     @classmethod
-    def serialize_inputs(cls, inputs: dict) -> str:
+    def serialize_inputs(cls, inputs: Mapping[str, Any]) -> str:
         inputs_json_str = json.dumps(inputs, ensure_ascii=False).encode()
         input_base64_encoded = b64encode(inputs_json_str).decode("utf-8")
         return input_base64_encoded
 
     @classmethod
-    def assemble_runner_script(cls, code: str, inputs: dict) -> str:
+    def assemble_runner_script(cls, code: str, inputs: Mapping[str, Any]) -> str:
         # assemble runner script
         script = cls.get_runner_script()
         script = script.replace(cls._code_placeholder, code)

api/core/helper/moderation.py

@@ -41,7 +41,7 @@ def check_moderation(model_config: ModelConfigWithCredentialsEntity, text: str)
                 if moderation_result is True:
                     return True
             except Exception as ex:
-                logger.exception(ex)
+                logger.exception(f"Fails to check moderation, provider_name: {provider_name}")
                 raise InvokeBadRequestError("Rate limit exceeded, please try again later.")
 
     return False

api/core/helper/module_import_helper.py

@@ -29,7 +29,7 @@ def import_module_from_source(*, module_name: str, py_file_path: AnyStr, use_laz
         spec.loader.exec_module(module)
         return module
     except Exception as e:
-        logging.exception(f"Failed to load module {module_name} from {py_file_path}: {str(e)}")
+        logging.exception(f"Failed to load module {module_name} from script file '{py_file_path}'")
         raise e
 
 

api/core/helper/ssrf_proxy.py

@@ -3,22 +3,20 @@ Proxy requests to avoid SSRF
 """
 
 import logging
-import os
 import time
 
 import httpx
 
-SSRF_PROXY_ALL_URL = os.getenv("SSRF_PROXY_ALL_URL", "")
-SSRF_PROXY_HTTP_URL = os.getenv("SSRF_PROXY_HTTP_URL", "")
-SSRF_PROXY_HTTPS_URL = os.getenv("SSRF_PROXY_HTTPS_URL", "")
-SSRF_DEFAULT_MAX_RETRIES = int(os.getenv("SSRF_DEFAULT_MAX_RETRIES", "3"))
+from configs import dify_config
+
+SSRF_DEFAULT_MAX_RETRIES = dify_config.SSRF_DEFAULT_MAX_RETRIES
 
 proxy_mounts = (
     {
-        "http://": httpx.HTTPTransport(proxy=SSRF_PROXY_HTTP_URL),
-        "https://": httpx.HTTPTransport(proxy=SSRF_PROXY_HTTPS_URL),
+        "http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
+        "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
     }
-    if SSRF_PROXY_HTTP_URL and SSRF_PROXY_HTTPS_URL
+    if dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL
     else None
 )
 
@@ -32,11 +30,19 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
         if "follow_redirects" not in kwargs:
             kwargs["follow_redirects"] = allow_redirects
 
+    if "timeout" not in kwargs:
+        kwargs["timeout"] = httpx.Timeout(
+            timeout=dify_config.SSRF_DEFAULT_TIME_OUT,
+            connect=dify_config.SSRF_DEFAULT_CONNECT_TIME_OUT,
+            read=dify_config.SSRF_DEFAULT_READ_TIME_OUT,
+            write=dify_config.SSRF_DEFAULT_WRITE_TIME_OUT,
+        )
+
     retries = 0
     while retries <= max_retries:
         try:
-            if SSRF_PROXY_ALL_URL:
-                with httpx.Client(proxy=SSRF_PROXY_ALL_URL) as client:
+            if dify_config.SSRF_PROXY_ALL_URL:
+                with httpx.Client(proxy=dify_config.SSRF_PROXY_ALL_URL) as client:
                     response = client.request(method=method, url=url, **kwargs)
             elif proxy_mounts:
                 with httpx.Client(mounts=proxy_mounts) as client:

api/core/indexing_runner.py

@@ -554,7 +554,7 @@ class IndexingRunner:
                     qa_documents.append(qa_document)
                 format_documents.extend(qa_documents)
             except Exception as e:
-                logging.exception(e)
+                logging.exception("Failed to format qa document")
 
             all_qa_documents.extend(format_documents)
 
@@ -598,7 +598,7 @@ class IndexingRunner:
             rules = DatasetProcessRule.AUTOMATIC_RULES
         else:
             rules = json.loads(processing_rule.rules) if processing_rule.rules else {}
-        document_text = CleanProcessor.clean(text, rules)
+        document_text = CleanProcessor.clean(text, {"rules": rules})
 
         return document_text
 

api/core/llm_generator/llm_generator.py

@@ -102,7 +102,7 @@ class LLMGenerator:
         except InvokeError:
             questions = []
         except Exception as e:
-            logging.exception(e)
+            logging.exception("Failed to generate suggested questions after answer")
             questions = []
 
         return questions
@@ -148,7 +148,7 @@ class LLMGenerator:
                 error = str(e)
                 error_step = "generate rule config"
             except Exception as e:
-                logging.exception(e)
+                logging.exception(f"Failed to generate rule config, model: {model_config.get('name')}")
                 rule_config["error"] = str(e)
 
             rule_config["error"] = f"Failed to {error_step}. Error: {error}" if error else ""
@@ -234,7 +234,7 @@ class LLMGenerator:
                 error_step = "generate conversation opener"
 
         except Exception as e:
-            logging.exception(e)
+            logging.exception(f"Failed to generate rule config, model: {model_config.get('name')}")
             rule_config["error"] = str(e)
 
         rule_config["error"] = f"Failed to {error_step}. Error: {error}" if error else ""
@@ -286,7 +286,9 @@ class LLMGenerator:
             error = str(e)
             return {"code": "", "language": code_language, "error": f"Failed to generate code. Error: {error}"}
         except Exception as e:
-            logging.exception(e)
+            logging.exception(
+                f"Failed to invoke LLM model, model: {model_config.get('name')}, language: {code_language}"
+            )
             return {"code": "", "language": code_language, "error": f"An unexpected error occurred: {str(e)}"}
 
     @classmethod

api/core/memory/token_buffer_memory.py

@@ -81,15 +81,18 @@ class TokenBufferMemory:
                             db.session.query(WorkflowRun).filter(WorkflowRun.id == message.workflow_run_id).first()
                         )
 
-                        if workflow_run:
+                        if workflow_run and workflow_run.workflow:
                             file_extra_config = FileUploadConfigManager.convert(
                                 workflow_run.workflow.features_dict, is_vision=False
                             )
 
+                detail = ImagePromptMessageContent.DETAIL.LOW
                 if file_extra_config and app_record:
                     file_objs = file_factory.build_from_message_files(
                         message_files=files, tenant_id=app_record.tenant_id, config=file_extra_config
                     )
+                    if file_extra_config.image_config and file_extra_config.image_config.detail:
+                        detail = file_extra_config.image_config.detail
                 else:
                     file_objs = []
 
@@ -98,12 +101,16 @@ class TokenBufferMemory:
                 else:
                     prompt_message_contents: list[PromptMessageContent] = []
                     prompt_message_contents.append(TextPromptMessageContent(data=message.query))
-                    for file_obj in file_objs:
-                        if file_obj.type in {FileType.IMAGE, FileType.AUDIO}:
-                            prompt_message = file_manager.to_prompt_message_content(file_obj)
+                    for file in file_objs:
+                        if file.type in {FileType.IMAGE, FileType.AUDIO}:
+                            prompt_message = file_manager.to_prompt_message_content(
+                                file,
+                                image_detail_config=detail,
+                            )
                             prompt_message_contents.append(prompt_message)
 
                     prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
+
             else:
                 prompt_messages.append(UserPromptMessage(content=message.query))
 

api/core/model_manager.py

@@ -1,8 +1,8 @@
 import logging
-import os
 from collections.abc import Callable, Generator, Iterable, Sequence
 from typing import IO, Any, Optional, Union, cast
 
+from configs import dify_config
 from core.entities.embedding_type import EmbeddingInputType
 from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
 from core.entities.provider_entities import ModelLoadBalancingConfiguration
@@ -473,7 +473,7 @@ class LBModelManager:
 
                 continue
 
-            if bool(os.environ.get("DEBUG", "False").lower() == "true"):
+            if dify_config.DEBUG:
                 logger.info(
                     f"Model LB\nid: {config.id}\nname:{config.name}\n"
                     f"tenant_id: {self._tenant_id}\nprovider: {self._provider}\n"

api/core/model_runtime/entities/__init__.py

@@ -12,11 +12,13 @@ from .message_entities import (
     TextPromptMessageContent,
     ToolPromptMessage,
     UserPromptMessage,
+    VideoPromptMessageContent,
 )
 from .model_entities import ModelPropertyKey
 
 __all__ = [
     "ImagePromptMessageContent",
+    "VideoPromptMessageContent",
     "PromptMessage",
     "PromptMessageRole",
     "LLMUsage",

api/core/model_runtime/entities/message_entities.py

@@ -56,6 +56,7 @@ class PromptMessageContentType(Enum):
     TEXT = "text"
     IMAGE = "image"
     AUDIO = "audio"
+    VIDEO = "video"
 
 
 class PromptMessageContent(BaseModel):
@@ -75,6 +76,12 @@ class TextPromptMessageContent(PromptMessageContent):
     type: PromptMessageContentType = PromptMessageContentType.TEXT
 
 
+class VideoPromptMessageContent(PromptMessageContent):
+    type: PromptMessageContentType = PromptMessageContentType.VIDEO
+    data: str = Field(..., description="Base64 encoded video data")
+    format: str = Field(..., description="Video format")
+
+
 class AudioPromptMessageContent(PromptMessageContent):
     type: PromptMessageContentType = PromptMessageContentType.AUDIO
     data: str = Field(..., description="Base64 encoded audio data")

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

@@ -1,3 +1,4 @@
+- claude-3-5-haiku-20241022
 - claude-3-5-sonnet-20241022
 - claude-3-5-sonnet-20240620
 - claude-3-haiku-20240307

api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-haiku-20241022.yaml

@@ -0,0 +1,38 @@
+model: claude-3-5-haiku-20241022
+label:
+  en_US: claude-3-5-haiku-20241022
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 8192
+    min: 1
+    max: 8192
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '1.00'
+  output: '5.00'
+  unit: '0.000001'
+  currency: USD

api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py

@@ -47,9 +47,9 @@ class AzureRerankModel(RerankModel):
                 result = response.read()
                 return json.loads(result)
         except urllib.error.HTTPError as error:
-            logger.error(f"The request failed with status code: {error.code}")
-            logger.error(error.info())
-            logger.error(error.read().decode("utf8", "ignore"))
+            logger.exception(f"The request failed with status code: {error.code}")
+            logger.exception(error.info())
+            logger.exception(error.read().decode("utf8", "ignore"))
             raise
 
     def _invoke(
@@ -103,7 +103,7 @@ class AzureRerankModel(RerankModel):
             return RerankResult(model=model, docs=rerank_documents)
 
         except Exception as e:
-            logger.exception(f"Exception in Azure rerank: {e}")
+            logger.exception(f"Failed to invoke rerank model, model: {model}")
             raise
 
     def validate_credentials(self, model: str, credentials: dict) -> None:

api/core/model_runtime/model_providers/azure_openai/llm/llm.py

@@ -113,7 +113,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
         try:
             client = AzureOpenAI(**self._to_credential_kwargs(credentials))
 
-            if model.startswith("o1"):
+            if "o1" in model:
                 client.chat.completions.create(
                     messages=[{"role": "user", "content": "ping"}],
                     model=model,
@@ -311,7 +311,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
         prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
 
         block_as_stream = False
-        if model.startswith("o1"):
+        if "o1" in model:
             if stream:
                 block_as_stream = True
                 stream = False
@@ -404,7 +404,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
                                 ]
                             )
 
-        if model.startswith("o1"):
+        if "o1" in model:
             system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)])
             if system_message_count > 0:
                 new_prompt_messages = []
@@ -653,7 +653,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
             tokens_per_message = 4
             # if there's a name, the role is omitted
             tokens_per_name = -1
-        elif model.startswith("gpt-35-turbo") or model.startswith("gpt-4") or model.startswith("o1"):
+        elif model.startswith("gpt-35-turbo") or model.startswith("gpt-4") or "o1" in model:
             tokens_per_message = 3
             tokens_per_name = 1
         else:

api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml

@@ -0,0 +1,60 @@
+model: anthropic.claude-3-5-haiku-20241022-v1:0
+label:
+  en_US: Claude 3.5 Haiku
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  # docs: https://docs.anthropic.com/claude/docs/system-prompts
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.001'
+  output: '0.005'
+  unit: '0.001'
+  currency: USD

api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml

@@ -16,9 +16,9 @@ parameter_rules:
     use_template: max_tokens
     required: true
     type: int
-    default: 4096
+    default: 8192
     min: 1
-    max: 4096
+    max: 8192
     help:
       zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
       en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.

api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml

@@ -0,0 +1,60 @@
+model: us.anthropic.claude-3-5-haiku-20241022-v1:0
+label:
+  en_US: Claude 3.5 Haiku(US.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 4096
+    min: 1
+    max: 4096
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  # docs: https://docs.anthropic.com/claude/docs/system-prompts
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.001'
+  output: '0.005'
+  unit: '0.001'
+  currency: USD

api/core/model_runtime/model_providers/gitee_ai/gitee_ai.py

@@ -1,6 +1,7 @@
 import logging
 
-from core.model_runtime.entities.model_entities import ModelType
+import requests
+
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.__base.model_provider import ModelProvider
 
@@ -16,8 +17,18 @@ class GiteeAIProvider(ModelProvider):
         :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
         """
         try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-            model_instance.validate_credentials(model="Qwen2-7B-Instruct", credentials=credentials)
+            api_key = credentials.get("api_key")
+            if not api_key:
+                raise CredentialsValidateFailedError("Credentials validation failed: api_key not given")
+
+            # send a get request to validate the credentials
+            headers = {"Authorization": f"Bearer {api_key}"}
+            response = requests.get("https://ai.gitee.com/api/base/account/me", headers=headers, timeout=(10, 300))
+
+            if response.status_code != 200:
+                raise CredentialsValidateFailedError(
+                    f"Credentials validation failed with status code {response.status_code}"
+                )
         except CredentialsValidateFailedError as ex:
             raise ex
         except Exception as ex:

api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2.5-72B-Instruct.yaml

@@ -0,0 +1,95 @@
+model: Qwen2.5-72B-Instruct
+label:
+  zh_Hans: Qwen2.5-72B-Instruct
+  en_US: Qwen2.5-72B-Instruct
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    label:
+      en_US: "Max Tokens"
+      zh_Hans: "最大Token数"
+    type: int
+    default: 512
+    min: 1
+    required: true
+    help:
+      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
+      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
+
+  - name: temperature
+    use_template: temperature
+    label:
+      en_US: "Temperature"
+      zh_Hans: "采样温度"
+    type: float
+    default: 0.7
+    min: 0.0
+    max: 1.0
+    precision: 1
+    required: true
+    help:
+      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
+      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
+
+  - name: top_p
+    use_template: top_p
+    label:
+      en_US: "Top P"
+      zh_Hans: "Top P"
+    type: float
+    default: 0.7
+    min: 0.0
+    max: 1.0
+    precision: 1
+    required: true
+    help:
+      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
+      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
+
+  - name: top_k
+    use_template: top_k
+    label:
+      en_US: "Top K"
+      zh_Hans: "Top K"
+    type: int
+    default: 50
+    min: 0
+    max: 100
+    required: true
+    help:
+      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
+      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
+
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    label:
+      en_US: "Frequency Penalty"
+      zh_Hans: "频率惩罚"
+    type: float
+    default: 0
+    min: -1.0
+    max: 1.0
+    precision: 1
+    required: false
+    help:
+      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
+      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
+
+  - name: user
+    use_template: text
+    label:
+      en_US: "User"
+      zh_Hans: "用户"
+    type: string
+    required: false
+    help:
+      en_US: "Used to track and differentiate conversation requests from different users."
+      zh_Hans: "用于追踪和区分不同用户的对话请求。"