remove overrides (#22575)

Co-authored-by: zxhlyh <jasonapring2015@outlook.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -8,13 +8,15 @@ body:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
       options:
+        - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
+          required: true
         - label: This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
           required: true
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+        - label: I confirm that I am using English to submit this report, otherwise it will be closed.
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
+        - label: 【中文用户 & Non English User】请使用英语提交，否则会被关闭 ：）
           required: true
         - label: "Please do not modify this template :) and fill in all the required fields."
           required: true
@@ -42,20 +44,22 @@ body:
     attributes:
       label: Steps to reproduce
       description: We highly suggest including screenshots and a bug report log. Please use the right markdown syntax for code blocks.
-      placeholder: Having detailed steps helps us reproduce the bug.
+      placeholder: Having detailed steps helps us reproduce the bug. If you have logs, please use fenced code blocks (triple backticks ```) to format them.
     validations:
       required: true
 
   - type: textarea
     attributes:
       label: ✔️ Expected Behavior
-      placeholder: What were you expecting?
+      description: Describe what you expected to happen.
+      placeholder: What were you expecting? Please do not copy and paste the steps to reproduce here.
     validations:
-      required: false
+      required: true
 
   - type: textarea
     attributes:
       label: ❌ Actual Behavior
-      placeholder: What happened instead?
+      description: Describe what actually happened.
+      placeholder: What happened instead? Please do not copy and paste the steps to reproduce here.
     validations:
       required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -1,5 +1,11 @@
 blank_issues_enabled: false
 contact_links:
+  - name: "\U0001F4A1 Model Providers & Plugins"
+    url: "https://github.com/langgenius/dify-official-plugins/issues/new/choose"
+    about: Report issues with official plugins or model providers, you will need to provide the plugin version and other relevant details.
+  - name: "\U0001F4AC Documentation Issues"
+    url: "https://github.com/langgenius/dify-docs/issues/new"
+    about: Report issues with the documentation, such as typos, outdated information, or missing content. Please provide the specific section and details of the issue.
   - name: "\U0001F4E7 Discussions"
     url: https://github.com/langgenius/dify/discussions/categories/general
-    about: General discussions and request help from the community
+    about: General discussions and seek help from the community

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -1,24 +0,0 @@
-name: "📚 Documentation Issue"
-description: Report issues in our documentation
-labels:
-  - documentation
-body:
-  - type: checkboxes
-    attributes:
-      label: Self Checks
-      description: "To make sure we get to you in time, please check the following :)"
-      options:
-        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-          required: true
-        - label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-          required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: textarea
-    attributes:
-      label: Provide a description of requested docs changes
-      placeholder: Briefly describe which document needs to be corrected and why.
-    validations:
-      required: true

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -8,11 +8,11 @@ body:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
       options:
+        - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
+          required: true
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-          required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
+        - label: I confirm that I am using English to submit this report, otherwise it will be closed.
           required: true
         - label: "Please do not modify this template :) and fill in all the required fields."
           required: true

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -1,55 +0,0 @@
-name: "🌐 Localization/Translation issue"
-description: Report incorrect translations. [please use English :)]
-labels:
-  - translation
-body:
-  - type: checkboxes
-    attributes:
-      label: Self Checks
-      description: "To make sure we get to you in time, please check the following :)"
-      options:
-        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-          required: true
-        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-          required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: input
-    attributes:
-      label: Dify version
-      description: Hover over system tray icon or look at Settings
-    validations:
-      required: true
-  - type: input
-    attributes:
-      label: Utility with translation issue
-      placeholder: Some area
-      description: Please input here the utility with the translation issue
-    validations:
-      required: true
-  - type: input
-    attributes:
-      label: 🌐 Language affected
-      placeholder: "German"
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: ❌ Actual phrase(s)
-      placeholder: What is there? Please include a screenshot as that is extremely helpful.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: ✔️ Expected phrase(s)
-      placeholder: What was expected?
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: ℹ Why is the current translation wrong
-      placeholder: Why do you feel this is incorrect?
-    validations:
-      required: true

.github/workflows/api-tests.yml

@@ -47,15 +47,17 @@ jobs:
       - name: Run Unit tests
         run: |
           uv run --project api bash dev/pytest/pytest_unit_tests.sh
+
+      - name: Coverage Summary
+        run: |
+          set -x
           # Extract coverage percentage and create a summary
           TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])')
 
           # Create a detailed coverage summary
           echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY
           echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY
-          echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
-          uv run --project api coverage report >> $GITHUB_STEP_SUMMARY
-          echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
+          uv run --project api coverage report --format=markdown >> $GITHUB_STEP_SUMMARY
 
       - name: Run dify config tests
         run: uv run --project api dev/pytest/pytest_config_tests.py

.github/workflows/build-push.yml

@@ -6,6 +6,7 @@ on:
       - "main"
       - "deploy/dev"
       - "deploy/enterprise"
+      - "build/**"
     tags:
       - "*"
 

.gitignore

@@ -214,3 +214,4 @@ mise.toml
 
 # AI Assistant
 .roo/
+api/.env.backup

README.md

@@ -54,7 +54,7 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
-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, allowing you to quickly move from prototype to production.
+Dify is an open-source platform for developing LLM applications. Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and more—allowing you to quickly move from prototype to production.
 
 ## Quick start
 
@@ -65,7 +65,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
 
 </br>
 
-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:
+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
@@ -205,6 +205,7 @@ If you'd like to configure a highly-available setup, there are community-contrib
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Using Terraform for Deployment
 
@@ -261,8 +262,8 @@ At the same time, please consider supporting Dify by sharing it on social media
 
 ## Security disclosure
 
-To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
+To protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to security@dify.ai, and our team will respond with detailed answer.
 
 ## License
 
-This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
+This repository is licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.

README_AR.md

@@ -188,6 +188,7 @@ docker compose up -d
 - [رسم بياني Helm من قبل @magicsong](https://github.com/magicsong/ai-charts)
 - [ملف YAML من قبل @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [ملف YAML من قبل @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 جديد! ملفات YAML (تدعم Dify v1.6.0) بواسطة @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### استخدام Terraform للتوزيع
 

README_BN.md

@@ -204,6 +204,8 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 নতুন! YAML ফাইলসমূহ (Dify v1.6.0 সমর্থিত) তৈরি করেছেন @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
+
 
 #### টেরাফর্ম ব্যবহার করে ডিপ্লয়
 

README_CN.md

@@ -194,9 +194,9 @@ docker compose up -d
 
 如果您需要自定义配置，请参考 [.env.example](docker/.env.example) 文件中的注释，并更新 `.env` 文件中对应的值。此外，您可能需要根据您的具体部署环境和需求对 `docker-compose.yaml` 文件本身进行调整，例如更改镜像版本、端口映射或卷挂载。完成任何更改后，请重新运行 `docker-compose up -d`。您可以在[此处](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用环境变量的完整列表。
 
-#### 使用 Helm Chart 部署
+#### 使用 Helm Chart 或 Kubernetes 资源清单（YAML）部署
 
-使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件，可以在 Kubernetes 上部署 Dify。
+使用 [Helm Chart](https://helm.sh/) 版本或者 Kubernetes 资源清单（YAML），可以在 Kubernetes 上部署 Dify。
 
 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
@@ -204,6 +204,10 @@ docker compose up -d
 - [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
 
+- [🚀 NEW! YAML 文件 (支持 Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
+
+
+
 #### 使用 Terraform 部署
 
 使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台

README_DE.md

@@ -203,6 +203,7 @@ Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von de
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Terraform für die Bereitstellung verwenden
 

README_ES.md

@@ -203,6 +203,7 @@ Si desea configurar una configuración de alta disponibilidad, la comunidad prop
 - [Gráfico Helm por @magicsong](https://github.com/magicsong/ai-charts)
 - [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [Ficheros YAML por @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 ¡NUEVO! Archivos YAML (compatible con Dify v1.6.0) por @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Uso de Terraform para el despliegue
 

README_FR.md

@@ -201,6 +201,7 @@ Si vous souhaitez configurer une configuration haute disponibilité, la communau
 - [Helm Chart par @magicsong](https://github.com/magicsong/ai-charts)
 - [Fichier YAML par @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [Fichier YAML par @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NOUVEAU ! Fichiers YAML (compatible avec Dify v1.6.0) par @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Utilisation de Terraform pour le déploiement
 

README_JA.md

@@ -202,6 +202,7 @@ docker compose up -d
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 新着！YAML ファイル（Dify v1.6.0 対応）by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Terraformを使用したデプロイ
 

README_KL.md

@@ -201,6 +201,7 @@ If you'd like to configure a highly-available setup, there are community-contrib
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Terraform atorlugu pilersitsineq
 

README_KR.md

@@ -195,6 +195,7 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Terraform을 사용한 배포
 

README_PT.md

@@ -200,6 +200,7 @@ Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts]
 - [Helm Chart de @magicsong](https://github.com/magicsong/ai-charts)
 - [Arquivo YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [Arquivo YAML por @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NOVO! Arquivos YAML (Compatível com Dify v1.6.0) por @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Usando o Terraform para Implantação
 

README_SI.md

@@ -201,6 +201,7 @@ Star Dify on GitHub and be instantly notified of new releases.
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Uporaba Terraform za uvajanje
 

README_TR.md

@@ -194,6 +194,7 @@ Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'
 - [@BorisPolonsky tarafından Helm Chart](https://github.com/BorisPolonsky/dify-helm)
 - [@Winson-030 tarafından YAML dosyası](https://github.com/Winson-030/dify-kubernetes)
 - [@wyy-holding tarafından YAML dosyası](https://github.com/wyy-holding/dify-k8s)
+- [🚀 YENİ! YAML dosyaları (Dify v1.6.0 destekli) @Zhoneym tarafından](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Dağıtım için Terraform Kullanımı
 

README_TW.md

@@ -197,12 +197,13 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify
 
 如果您需要自定義配置，請參考我們的 [.env.example](docker/.env.example) 文件中的註釋，並在您的 `.env` 文件中更新相應的值。此外，根據您特定的部署環境和需求，您可能需要調整 `docker-compose.yaml` 文件本身，例如更改映像版本、端口映射或卷掛載。進行任何更改後，請重新運行 `docker-compose up -d`。您可以在[這裡](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用環境變數的完整列表。
 
-如果您想配置高可用性設置，社區貢獻的 [Helm Charts](https://helm.sh/) 和 YAML 文件允許在 Kubernetes 上部署 Dify。
+如果您想配置高可用性設置，社區貢獻的 [Helm Charts](https://helm.sh/) 和 Kubernetes 資源清單（YAML）允許在 Kubernetes 上部署 Dify。
 
 - [由 @LeoQuote 提供的 Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
 - [由 @BorisPolonsky 提供的 Helm Chart](https://github.com/BorisPolonsky/dify-helm)
 - [由 @Winson-030 提供的 YAML 文件](https://github.com/Winson-030/dify-kubernetes)
 - [由 @wyy-holding 提供的 YAML 文件](https://github.com/wyy-holding/dify-k8s)
+- [🚀 NEW! YAML 檔案（支援 Dify v1.6.0）by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 ### 使用 Terraform 進行部署
 

README_VI.md

@@ -196,6 +196,7 @@ Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có
 - [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 - [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 - [Tệp YAML bởi @wyy-holding](https://github.com/wyy-holding/dify-k8s)
+- [🚀 MỚI! Tệp YAML (Hỗ trợ Dify v1.6.0) bởi @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Sử dụng Terraform để Triển khai
 

api/.env.example

@@ -5,17 +5,22 @@
 SECRET_KEY=
 
 # Console API base URL
-CONSOLE_API_URL=http://127.0.0.1:5001
-CONSOLE_WEB_URL=http://127.0.0.1:3000
+CONSOLE_API_URL=http://localhost:5001
+CONSOLE_WEB_URL=http://localhost:3000
 
 # Service API base URL
-SERVICE_API_URL=http://127.0.0.1:5001
+SERVICE_API_URL=http://localhost:5001
 
 # Web APP base URL
-APP_WEB_URL=http://127.0.0.1:3000
+APP_WEB_URL=http://localhost:3000
 
 # Files URL
-FILES_URL=http://127.0.0.1:5001
+FILES_URL=http://localhost:5001
+
+# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
+# Set this to the internal Docker service URL for proper plugin file access.
+# Example: INTERNAL_FILES_URL=http://api:5001
+INTERNAL_FILES_URL=http://127.0.0.1:5001
 
 # The time in seconds after the signature is rejected
 FILES_ACCESS_TIMEOUT=300
@@ -133,8 +138,8 @@ SUPABASE_API_KEY=your-access-key
 SUPABASE_URL=your-server-url
 
 # CORS configuration
-WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
-CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
+WEB_API_CORS_ALLOW_ORIGINS=http://localhost:3000,*
+CONSOLE_CORS_ALLOW_ORIGINS=http://localhost:3000,*
 
 # Vector database configuration
 # support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore, matrixone
@@ -444,6 +449,19 @@ MAX_VARIABLE_SIZE=204800
 # hybrid: Save new data to object storage, read from both object storage and RDBMS
 WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
 
+# Repository configuration
+# Core workflow execution repository implementation
+CORE_WORKFLOW_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository
+
+# Core workflow node execution repository implementation
+CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository
+
+# API workflow node execution repository implementation
+API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository
+
+# API workflow run repository implementation
+API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
+
 # App configuration
 APP_MAX_EXECUTION_TIME=1200
 APP_MAX_ACTIVE_REQUESTS=0
@@ -477,6 +495,8 @@ ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
 
 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
+CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES=5
+OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES=5
 
 CREATE_TIDB_SERVICE_JOB_ENABLED=false
 
@@ -487,6 +507,8 @@ LOGIN_LOCKOUT_DURATION=86400
 
 # Enable OpenTelemetry
 ENABLE_OTEL=false
+OTLP_TRACE_ENDPOINT=
+OTLP_METRIC_ENDPOINT=
 OTLP_BASE_ENDPOINT=http://localhost:4318
 OTLP_API_KEY=
 OTEL_EXPORTER_OTLP_PROTOCOL=

api/commands.py

@@ -2,19 +2,22 @@ import base64
 import json
 import logging
 import secrets
-from typing import Optional
+from typing import Any, Optional
 
 import click
 from flask import current_app
+from pydantic import TypeAdapter
 from sqlalchemy import select
 from werkzeug.exceptions import NotFound
 
 from configs import dify_config
 from constants.languages import languages
+from core.plugin.entities.plugin import ToolProviderID
 from core.rag.datasource.vdb.vector_factory import Vector
 from core.rag.datasource.vdb.vector_type import VectorType
 from core.rag.index_processor.constant.built_in_field import BuiltInField
 from core.rag.models.document import Document
+from core.tools.utils.system_oauth_encryption import encrypt_system_oauth_params
 from events.app_event import app_was_created
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
@@ -27,6 +30,7 @@ from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, D
 from models.dataset import Document as DatasetDocument
 from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
 from models.provider import Provider, ProviderModel
+from models.tools import ToolOAuthSystemClient
 from services.account_service import AccountService, RegisterService, TenantService
 from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpiredLogs
 from services.plugin.data_migration import PluginDataMigration
@@ -1155,3 +1159,49 @@ def remove_orphaned_files_on_storage(force: bool):
         click.echo(click.style(f"Removed {removed_files} orphaned files without errors.", fg="green"))
     else:
         click.echo(click.style(f"Removed {removed_files} orphaned files, with {error_files} errors.", fg="yellow"))
+
+
+@click.command("setup-system-tool-oauth-client", help="Setup system tool oauth client.")
+@click.option("--provider", prompt=True, help="Provider name")
+@click.option("--client-params", prompt=True, help="Client Params")
+def setup_system_tool_oauth_client(provider, client_params):
+    """
+    Setup system tool oauth client
+    """
+    provider_id = ToolProviderID(provider)
+    provider_name = provider_id.provider_name
+    plugin_id = provider_id.plugin_id
+
+    try:
+        # json validate
+        click.echo(click.style(f"Validating client params: {client_params}", fg="yellow"))
+        client_params_dict = TypeAdapter(dict[str, Any]).validate_json(client_params)
+        click.echo(click.style("Client params validated successfully.", fg="green"))
+
+        click.echo(click.style(f"Encrypting client params: {client_params}", fg="yellow"))
+        click.echo(click.style(f"Using SECRET_KEY: `{dify_config.SECRET_KEY}`", fg="yellow"))
+        oauth_client_params = encrypt_system_oauth_params(client_params_dict)
+        click.echo(click.style("Client params encrypted successfully.", fg="green"))
+    except Exception as e:
+        click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
+        return
+
+    deleted_count = (
+        db.session.query(ToolOAuthSystemClient)
+        .filter_by(
+            provider=provider_name,
+            plugin_id=plugin_id,
+        )
+        .delete()
+    )
+    if deleted_count > 0:
+        click.echo(click.style(f"Deleted {deleted_count} existing oauth client params.", fg="yellow"))
+
+    oauth_client = ToolOAuthSystemClient(
+        provider=provider_name,
+        plugin_id=plugin_id,
+        encrypted_oauth_params=oauth_client_params,
+    )
+    db.session.add(oauth_client)
+    db.session.commit()
+    click.echo(click.style(f"OAuth client params setup successfully. id: {oauth_client.id}", fg="green"))

api/configs/app_config.py

@@ -1,8 +1,11 @@
 import logging
+from pathlib import Path
 from typing import Any
 
 from pydantic.fields import FieldInfo
-from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict
+from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict, TomlConfigSettingsSource
+
+from libs.file_utils import search_file_upwards
 
 from .deploy import DeploymentConfig
 from .enterprise import EnterpriseFeatureConfig
@@ -99,4 +102,12 @@ class DifyConfig(
             RemoteSettingsSourceFactory(settings_cls),
             dotenv_settings,
             file_secret_settings,
+            TomlConfigSettingsSource(
+                settings_cls=settings_cls,
+                toml_file=search_file_upwards(
+                    base_dir_path=Path(__file__).parent,
+                    target_file_name="pyproject.toml",
+                    max_search_parent_depth=2,
+                ),
+            ),
         )

api/configs/feature/__init__.py

@@ -31,6 +31,15 @@ class SecurityConfig(BaseSettings):
         description="Duration in minutes for which a password reset token remains valid",
         default=5,
     )
+    CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
+        description="Duration in minutes for which a change email token remains valid",
+        default=5,
+    )
+
+    OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
+        description="Duration in minutes for which a owner transfer token remains valid",
+        default=5,
+    )
 
     LOGIN_DISABLED: bool = Field(
         description="Whether to disable login checks",
@@ -237,6 +246,13 @@ class FileAccessConfig(BaseSettings):
         default="",
     )
 
+    INTERNAL_FILES_URL: str = Field(
+        description="Internal base URL for file access within Docker network,"
+        " used for plugin daemon and internal service communication."
+        " Falls back to FILES_URL if not specified.",
+        default="",
+    )
+
     FILES_ACCESS_TIMEOUT: int = Field(
         description="Expiration time in seconds for file access URLs",
         default=300,
@@ -530,6 +546,33 @@ class WorkflowNodeExecutionConfig(BaseSettings):
     )
 
 
+class RepositoryConfig(BaseSettings):
+    """
+    Configuration for repository implementations
+    """
+
+    CORE_WORKFLOW_EXECUTION_REPOSITORY: str = Field(
+        description="Repository implementation for WorkflowExecution. Specify as a module path",
+        default="core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository",
+    )
+
+    CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
+        description="Repository implementation for WorkflowNodeExecution. Specify as a module path",
+        default="core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository",
+    )
+
+    API_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
+        description="Service-layer repository implementation for WorkflowNodeExecutionModel operations. "
+        "Specify as a module path",
+        default="repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository",
+    )
+
+    API_WORKFLOW_RUN_REPOSITORY: str = Field(
+        description="Service-layer repository implementation for WorkflowRun operations. Specify as a module path",
+        default="repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository",
+    )
+
+
 class AuthConfig(BaseSettings):
     """
     Configuration for authentication and OAuth
@@ -580,6 +623,16 @@ class AuthConfig(BaseSettings):
         default=86400,
     )
 
+    CHANGE_EMAIL_LOCKOUT_DURATION: PositiveInt = Field(
+        description="Time (in seconds) a user must wait before retrying change email after exceeding the rate limit.",
+        default=86400,
+    )
+
+    OWNER_TRANSFER_LOCKOUT_DURATION: PositiveInt = Field(
+        description="Time (in seconds) a user must wait before retrying owner transfer after exceeding the rate limit.",
+        default=86400,
+    )
+
 
 class ModerationConfig(BaseSettings):
     """
@@ -896,6 +949,7 @@ class FeatureConfig(
     MultiModalTransferConfig,
     PositionConfig,
     RagEtlConfig,
+    RepositoryConfig,
     SecurityConfig,
     ToolConfig,
     UpdateConfig,

api/configs/middleware/__init__.py

@@ -162,6 +162,11 @@ class DatabaseConfig(BaseSettings):
         default=3600,
     )
 
+    SQLALCHEMY_POOL_USE_LIFO: bool = Field(
+        description="If True, SQLAlchemy will use last-in-first-out way to retrieve connections from pool.",
+        default=False,
+    )
+
     SQLALCHEMY_POOL_PRE_PING: bool = Field(
         description="If True, enables connection pool pre-ping feature to check connections.",
         default=False,
@@ -199,6 +204,7 @@ class DatabaseConfig(BaseSettings):
             "pool_recycle": self.SQLALCHEMY_POOL_RECYCLE,
             "pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
             "connect_args": connect_args,
+            "pool_use_lifo": self.SQLALCHEMY_POOL_USE_LIFO,
         }
 
 
@@ -223,6 +229,10 @@ class CeleryConfig(DatabaseConfig):
         default=None,
     )
 
+    CELERY_SENTINEL_PASSWORD: Optional[str] = Field(
+        description="Password of the Redis Sentinel master.",
+        default=None,
+    )
     CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
         description="Timeout for Redis Sentinel socket operations in seconds.",
         default=0.1,

api/configs/observability/otel/otel_config.py

@@ -12,6 +12,16 @@ class OTelConfig(BaseSettings):
         default=False,
     )
 
+    OTLP_TRACE_ENDPOINT: str = Field(
+        description="OTLP trace endpoint",
+        default="",
+    )
+
+    OTLP_METRIC_ENDPOINT: str = Field(
+        description="OTLP metric endpoint",
+        default="",
+    )
+
     OTLP_BASE_ENDPOINT: str = Field(
         description="OTLP base endpoint",
         default="http://localhost:4318",

api/configs/packaging/__init__.py

@@ -1,17 +1,13 @@
 from pydantic import Field
-from pydantic_settings import BaseSettings
+
+from configs.packaging.pyproject import PyProjectConfig, PyProjectTomlConfig
 
 
-class PackagingInfo(BaseSettings):
+class PackagingInfo(PyProjectTomlConfig):
     """
     Packaging build information
     """
 
-    CURRENT_VERSION: str = Field(
-        description="Dify version",
-        default="1.5.0",
-    )
-
     COMMIT_SHA: str = Field(
         description="SHA-1 checksum of the git commit used to build the app",
         default="",

api/configs/packaging/pyproject.py

@@ -0,0 +1,17 @@
+from pydantic import BaseModel, Field
+from pydantic_settings import BaseSettings
+
+
+class PyProjectConfig(BaseModel):
+    version: str = Field(description="Dify version", default="")
+
+
+class PyProjectTomlConfig(BaseSettings):
+    """
+    configs in api/pyproject.toml
+    """
+
+    project: PyProjectConfig = Field(
+        description="configs in the project section of pyproject.toml",
+        default=PyProjectConfig(),
+    )

api/constants/__init__.py

@@ -1,6 +1,7 @@
 from configs import dify_config
 
 HIDDEN_VALUE = "[__HIDDEN__]"
+UNKNOWN_VALUE = "[__UNKNOWN__]"
 UUID_NIL = "00000000-0000-0000-0000-000000000000"
 
 DEFAULT_FILE_NUMBER_LIMITS = 3

api/controllers/console/__init__.py

@@ -56,6 +56,7 @@ from .app import (
     conversation,
     conversation_variables,
     generator,
+    mcp_server,
     message,
     model_config,
     ops_trace,

api/controllers/console/app/app.py

@@ -151,6 +151,7 @@ class AppApi(Resource):
         parser.add_argument("icon", type=str, location="json")
         parser.add_argument("icon_background", type=str, location="json")
         parser.add_argument("use_icon_as_answer_icon", type=bool, location="json")
+        parser.add_argument("max_active_requests", type=int, location="json")
         args = parser.parse_args()
 
         app_service = AppService()

api/controllers/console/app/audio.py

@@ -90,23 +90,11 @@ class ChatMessageTextApi(Resource):
 
             message_id = args.get("message_id", None)
             text = args.get("text", None)
-            if (
-                app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}
-                and app_model.workflow
-                and app_model.workflow.features_dict
-            ):
-                text_to_speech = app_model.workflow.features_dict.get("text_to_speech")
-                if text_to_speech is None:
-                    raise ValueError("TTS is not enabled")
-                voice = args.get("voice") or text_to_speech.get("voice")
-            else:
-                try:
-                    if app_model.app_model_config is None:
-                        raise ValueError("AppModelConfig not found")
-                    voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
-                except Exception:
-                    voice = None
-            response = AudioService.transcript_tts(app_model=app_model, text=text, message_id=message_id, voice=voice)
+            voice = args.get("voice", None)
+
+            response = AudioService.transcript_tts(
+                app_model=app_model, text=text, voice=voice, message_id=message_id, is_draft=True
+            )
             return response
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")

api/controllers/console/app/mcp_server.py

@@ -0,0 +1,119 @@
+import json
+from enum import StrEnum
+
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from werkzeug.exceptions import NotFound
+
+from controllers.console import api
+from controllers.console.app.wraps import get_app_model
+from controllers.console.wraps import account_initialization_required, setup_required
+from extensions.ext_database import db
+from fields.app_fields import app_server_fields
+from libs.login import login_required
+from models.model import AppMCPServer
+
+
+class AppMCPServerStatus(StrEnum):
+    ACTIVE = "active"
+    INACTIVE = "inactive"
+
+
+class AppMCPServerController(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    @marshal_with(app_server_fields)
+    def get(self, app_model):
+        server = db.session.query(AppMCPServer).filter(AppMCPServer.app_id == app_model.id).first()
+        return server
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    @marshal_with(app_server_fields)
+    def post(self, app_model):
+        if not current_user.is_editor:
+            raise NotFound()
+        parser = reqparse.RequestParser()
+        parser.add_argument("description", type=str, required=False, location="json")
+        parser.add_argument("parameters", type=dict, required=True, location="json")
+        args = parser.parse_args()
+
+        description = args.get("description")
+        if not description:
+            description = app_model.description or ""
+
+        server = AppMCPServer(
+            name=app_model.name,
+            description=description,
+            parameters=json.dumps(args["parameters"], ensure_ascii=False),
+            status=AppMCPServerStatus.ACTIVE,
+            app_id=app_model.id,
+            tenant_id=current_user.current_tenant_id,
+            server_code=AppMCPServer.generate_server_code(16),
+        )
+        db.session.add(server)
+        db.session.commit()
+        return server
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    @marshal_with(app_server_fields)
+    def put(self, app_model):
+        if not current_user.is_editor:
+            raise NotFound()
+        parser = reqparse.RequestParser()
+        parser.add_argument("id", type=str, required=True, location="json")
+        parser.add_argument("description", type=str, required=False, location="json")
+        parser.add_argument("parameters", type=dict, required=True, location="json")
+        parser.add_argument("status", type=str, required=False, location="json")
+        args = parser.parse_args()
+        server = db.session.query(AppMCPServer).filter(AppMCPServer.id == args["id"]).first()
+        if not server:
+            raise NotFound()
+
+        description = args.get("description")
+        if description is None:
+            pass
+        elif not description:
+            server.description = app_model.description or ""
+        else:
+            server.description = description
+
+        server.parameters = json.dumps(args["parameters"], ensure_ascii=False)
+        if args["status"]:
+            if args["status"] not in [status.value for status in AppMCPServerStatus]:
+                raise ValueError("Invalid status")
+            server.status = args["status"]
+        db.session.commit()
+        return server
+
+
+class AppMCPServerRefreshController(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(app_server_fields)
+    def get(self, server_id):
+        if not current_user.is_editor:
+            raise NotFound()
+        server = (
+            db.session.query(AppMCPServer)
+            .filter(AppMCPServer.id == server_id)
+            .filter(AppMCPServer.tenant_id == current_user.current_tenant_id)
+            .first()
+        )
+        if not server:
+            raise NotFound()
+        server.server_code = AppMCPServer.generate_server_code(16)
+        db.session.commit()
+        return server
+
+
+api.add_resource(AppMCPServerController, "/apps/<uuid:app_id>/server")
+api.add_resource(AppMCPServerRefreshController, "/apps/<uuid:server_id>/server/refresh")

api/controllers/console/app/statistic.py

@@ -2,6 +2,7 @@ from datetime import datetime
 from decimal import Decimal
 
 import pytz
+import sqlalchemy as sa
 from flask import jsonify
 from flask_login import current_user
 from flask_restful import Resource, reqparse
@@ -9,10 +10,11 @@ from flask_restful import Resource, reqparse
 from controllers.console import api
 from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import account_initialization_required, setup_required
+from core.app.entities.app_invoke_entities import InvokeFrom
 from extensions.ext_database import db
 from libs.helper import DatetimeString
 from libs.login import login_required
-from models.model import AppMode
+from models import AppMode, Message
 
 
 class DailyMessageStatistic(Resource):
@@ -85,46 +87,41 @@ class DailyConversationStatistic(Resource):
         parser.add_argument("end", type=DatetimeString("%Y-%m-%d %H:%M"), location="args")
         args = parser.parse_args()
 
-        sql_query = """SELECT
-    DATE(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date,
-    COUNT(DISTINCT messages.conversation_id) AS conversation_count
-FROM
-    messages
-WHERE
-    app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
-
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
 
+        stmt = (
+            sa.select(
+                sa.func.date(
+                    sa.func.date_trunc("day", sa.text("created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz"))
+                ).label("date"),
+                sa.func.count(sa.distinct(Message.conversation_id)).label("conversation_count"),
+            )
+            .select_from(Message)
+            .where(Message.app_id == app_model.id, Message.invoke_from != InvokeFrom.DEBUGGER.value)
+        )
+
         if args["start"]:
             start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
             start_datetime = start_datetime.replace(second=0)
-
             start_datetime_timezone = timezone.localize(start_datetime)
             start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
-
-            sql_query += " AND created_at >= :start"
-            arg_dict["start"] = start_datetime_utc
+            stmt = stmt.where(Message.created_at >= start_datetime_utc)
 
         if args["end"]:
             end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
             end_datetime = end_datetime.replace(second=0)
-
             end_datetime_timezone = timezone.localize(end_datetime)
             end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+            stmt = stmt.where(Message.created_at < end_datetime_utc)
 
-            sql_query += " AND created_at < :end"
-            arg_dict["end"] = end_datetime_utc
-
-        sql_query += " GROUP BY date ORDER BY date"
+        stmt = stmt.group_by("date").order_by("date")
 
         response_data = []
-
         with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-            for i in rs:
-                response_data.append({"date": str(i.date), "conversation_count": i.conversation_count})
+            rs = conn.execute(stmt, {"tz": account.timezone})
+            for row in rs:
+                response_data.append({"date": str(row.date), "conversation_count": row.conversation_count})
 
         return jsonify({"data": response_data})
 

api/controllers/console/app/workflow_draft_variable.py

@@ -68,13 +68,18 @@ def _create_pagination_parser():
     return parser
 
 
+def _serialize_variable_type(workflow_draft_var: WorkflowDraftVariable) -> str:
+    value_type = workflow_draft_var.value_type
+    return value_type.exposed_type().value
+
+
 _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = {
     "id": fields.String,
     "type": fields.String(attribute=lambda model: model.get_variable_type()),
     "name": fields.String,
     "description": fields.String,
     "selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
-    "value_type": fields.String,
+    "value_type": fields.String(attribute=_serialize_variable_type),
     "edited": fields.Boolean(attribute=lambda model: model.edited),
     "visible": fields.Boolean,
 }
@@ -90,7 +95,7 @@ _WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS = {
     "name": fields.String,
     "description": fields.String,
     "selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
-    "value_type": fields.String,
+    "value_type": fields.String(attribute=_serialize_variable_type),
     "edited": fields.Boolean(attribute=lambda model: model.edited),
     "visible": fields.Boolean,
 }
@@ -396,7 +401,7 @@ class EnvironmentVariableCollectionApi(Resource):
                     "name": v.name,
                     "description": v.description,
                     "selector": v.selector,
-                    "value_type": v.value_type.value,
+                    "value_type": v.value_type.exposed_type().value,
                     "value": v.value,
                     # Do not track edited for env vars.
                     "edited": False,

api/controllers/console/app/wraps.py

@@ -35,8 +35,6 @@ def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[
                 raise AppNotFoundError()
 
             app_mode = AppMode.value_of(app_model.mode)
-            if app_mode == AppMode.CHANNEL:
-                raise AppNotFoundError()
 
             if mode is not None:
                 if isinstance(mode, list):

api/controllers/console/auth/data_source_oauth.py

@@ -41,7 +41,7 @@ class OAuthDataSource(Resource):
             if not internal_secret:
                 return ({"error": "Internal secret is not set"},)
             oauth_provider.save_internal_access_token(internal_secret)
-            return {"data": ""}
+            return {"data": "internal"}
         else:
             auth_url = oauth_provider.get_authorization_url()
             return {"data": auth_url}, 200

api/controllers/console/auth/error.py

@@ -27,7 +27,19 @@ class InvalidTokenError(BaseHTTPException):
 
 class PasswordResetRateLimitExceededError(BaseHTTPException):
     error_code = "password_reset_rate_limit_exceeded"
-    description = "Too many password reset emails have been sent. Please try again in 1 minutes."
+    description = "Too many password reset emails have been sent. Please try again in 1 minute."
+    code = 429
+
+
+class EmailChangeRateLimitExceededError(BaseHTTPException):
+    error_code = "email_change_rate_limit_exceeded"
+    description = "Too many email change emails have been sent. Please try again in 1 minute."
+    code = 429
+
+
+class OwnerTransferRateLimitExceededError(BaseHTTPException):
+    error_code = "owner_transfer_rate_limit_exceeded"
+    description = "Too many owner transfer emails have been sent. Please try again in 1 minute."
     code = 429
 
 
@@ -65,3 +77,39 @@ class EmailPasswordResetLimitError(BaseHTTPException):
     error_code = "email_password_reset_limit"
     description = "Too many failed password reset attempts. Please try again in 24 hours."
     code = 429
+
+
+class EmailChangeLimitError(BaseHTTPException):
+    error_code = "email_change_limit"
+    description = "Too many failed email change attempts. Please try again in 24 hours."
+    code = 429
+
+
+class EmailAlreadyInUseError(BaseHTTPException):
+    error_code = "email_already_in_use"
+    description = "A user with this email already exists."
+    code = 400
+
+
+class OwnerTransferLimitError(BaseHTTPException):
+    error_code = "owner_transfer_limit"
+    description = "Too many failed owner transfer attempts. Please try again in 24 hours."
+    code = 429
+
+
+class NotOwnerError(BaseHTTPException):
+    error_code = "not_owner"
+    description = "You are not the owner of the workspace."
+    code = 400
+
+
+class CannotTransferOwnerToSelfError(BaseHTTPException):
+    error_code = "cannot_transfer_owner_to_self"
+    description = "You cannot transfer ownership to yourself."
+    code = 400
+
+
+class MemberNotInTenantError(BaseHTTPException):
+    error_code = "member_not_in_tenant"
+    description = "The member is not in the workspace."
+    code = 400

api/controllers/console/datasets/error.py

@@ -25,12 +25,6 @@ class UnsupportedFileTypeError(BaseHTTPException):
     code = 415
 
 
-class HighQualityDatasetOnlyError(BaseHTTPException):
-    error_code = "high_quality_dataset_only"
-    description = "Current operation only supports 'high-quality' datasets."
-    code = 400
-
-
 class DatasetNotInitializedError(BaseHTTPException):
     error_code = "dataset_not_initialized"
     description = "The dataset is still being initialized or indexing. Please wait a moment."

api/controllers/console/explore/audio.py

@@ -18,7 +18,6 @@ from controllers.console.app.error import (
 from controllers.console.explore.wraps import InstalledAppResource
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from models.model import AppMode
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -79,19 +78,9 @@ class ChatTextApi(InstalledAppResource):
 
             message_id = args.get("message_id", None)
             text = args.get("text", None)
-            if (
-                app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}
-                and app_model.workflow
-                and app_model.workflow.features_dict
-            ):
-                text_to_speech = app_model.workflow.features_dict.get("text_to_speech")
-                voice = args.get("voice") or text_to_speech.get("voice")
-            else:
-                try:
-                    voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
-                except Exception:
-                    voice = None
-            response = AudioService.transcript_tts(app_model=app_model, message_id=message_id, voice=voice, text=text)
+            voice = args.get("voice", None)
+
+            response = AudioService.transcript_tts(app_model=app_model, text=text, voice=voice, message_id=message_id)
             return response
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")

api/controllers/console/version.py

@@ -18,7 +18,7 @@ class VersionApi(Resource):
         check_update_url = dify_config.CHECK_UPDATE_URL
 
         result = {
-            "version": dify_config.CURRENT_VERSION,
+            "version": dify_config.project.version,
             "release_date": "",
             "release_notes": "",
             "can_auto_update": False,

api/controllers/console/workspace/account.py

@@ -4,10 +4,20 @@ import pytz
 from flask import request
 from flask_login import current_user
 from flask_restful import Resource, fields, marshal_with, reqparse
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 
 from configs import dify_config
 from constants.languages import supported_language
 from controllers.console import api
+from controllers.console.auth.error import (
+    EmailAlreadyInUseError,
+    EmailChangeLimitError,
+    EmailCodeError,
+    InvalidEmailError,
+    InvalidTokenError,
+)
+from controllers.console.error import AccountNotFound, EmailSendIpLimitError
 from controllers.console.workspace.error import (
     AccountAlreadyInitedError,
     CurrentPasswordIncorrectError,
@@ -18,15 +28,17 @@ from controllers.console.workspace.error import (
 from controllers.console.wraps import (
     account_initialization_required,
     cloud_edition_billing_enabled,
+    enable_change_email,
     enterprise_license_required,
     only_edition_cloud,
     setup_required,
 )
 from extensions.ext_database import db
 from fields.member_fields import account_fields
-from libs.helper import TimestampField, timezone
+from libs.helper import TimestampField, email, extract_remote_ip, timezone
 from libs.login import login_required
 from models import AccountIntegrate, InvitationCode
+from models.account import Account
 from services.account_service import AccountService
 from services.billing_service import BillingService
 from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError
@@ -369,6 +381,134 @@ class EducationAutoCompleteApi(Resource):
         return BillingService.EducationIdentity.autocomplete(args["keywords"], args["page"], args["limit"])
 
 
+class ChangeEmailSendEmailApi(Resource):
+    @enable_change_email
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("email", type=email, required=True, location="json")
+        parser.add_argument("language", type=str, required=False, location="json")
+        parser.add_argument("phase", type=str, required=False, location="json")
+        parser.add_argument("token", type=str, required=False, location="json")
+        args = parser.parse_args()
+
+        ip_address = extract_remote_ip(request)
+        if AccountService.is_email_send_ip_limit(ip_address):
+            raise EmailSendIpLimitError()
+
+        if args["language"] is not None and args["language"] == "zh-Hans":
+            language = "zh-Hans"
+        else:
+            language = "en-US"
+        account = None
+        user_email = args["email"]
+        if args["phase"] is not None and args["phase"] == "new_email":
+            if args["token"] is None:
+                raise InvalidTokenError()
+
+            reset_data = AccountService.get_change_email_data(args["token"])
+            if reset_data is None:
+                raise InvalidTokenError()
+            user_email = reset_data.get("email", "")
+
+            if user_email != current_user.email:
+                raise InvalidEmailError()
+        else:
+            with Session(db.engine) as session:
+                account = session.execute(select(Account).filter_by(email=args["email"])).scalar_one_or_none()
+            if account is None:
+                raise AccountNotFound()
+
+        token = AccountService.send_change_email_email(
+            account=account, email=args["email"], old_email=user_email, language=language, phase=args["phase"]
+        )
+        return {"result": "success", "data": token}
+
+
+class ChangeEmailCheckApi(Resource):
+    @enable_change_email
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("email", type=email, required=True, location="json")
+        parser.add_argument("code", type=str, required=True, location="json")
+        parser.add_argument("token", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+
+        user_email = args["email"]
+
+        is_change_email_error_rate_limit = AccountService.is_change_email_error_rate_limit(args["email"])
+        if is_change_email_error_rate_limit:
+            raise EmailChangeLimitError()
+
+        token_data = AccountService.get_change_email_data(args["token"])
+        if token_data is None:
+            raise InvalidTokenError()
+
+        if user_email != token_data.get("email"):
+            raise InvalidEmailError()
+
+        if args["code"] != token_data.get("code"):
+            AccountService.add_change_email_error_rate_limit(args["email"])
+            raise EmailCodeError()
+
+        # Verified, revoke the first token
+        AccountService.revoke_change_email_token(args["token"])
+
+        # Refresh token data by generating a new token
+        _, new_token = AccountService.generate_change_email_token(
+            user_email, code=args["code"], old_email=token_data.get("old_email"), additional_data={}
+        )
+
+        AccountService.reset_change_email_error_rate_limit(args["email"])
+        return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
+
+
+class ChangeEmailResetApi(Resource):
+    @enable_change_email
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(account_fields)
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("new_email", type=email, required=True, location="json")
+        parser.add_argument("token", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+
+        reset_data = AccountService.get_change_email_data(args["token"])
+        if not reset_data:
+            raise InvalidTokenError()
+
+        AccountService.revoke_change_email_token(args["token"])
+
+        if not AccountService.check_email_unique(args["new_email"]):
+            raise EmailAlreadyInUseError()
+
+        old_email = reset_data.get("old_email", "")
+        if current_user.email != old_email:
+            raise AccountNotFound()
+
+        updated_account = AccountService.update_account(current_user, email=args["new_email"])
+
+        return updated_account
+
+
+class CheckEmailUnique(Resource):
+    @setup_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("email", type=email, required=True, location="json")
+        args = parser.parse_args()
+        if not AccountService.check_email_unique(args["email"]):
+            raise EmailAlreadyInUseError()
+        return {"result": "success"}
+
+
 # Register API resources
 api.add_resource(AccountInitApi, "/account/init")
 api.add_resource(AccountProfileApi, "/account/profile")
@@ -385,5 +525,10 @@ api.add_resource(AccountDeleteUpdateFeedbackApi, "/account/delete/feedback")
 api.add_resource(EducationVerifyApi, "/account/education/verify")
 api.add_resource(EducationApi, "/account/education")
 api.add_resource(EducationAutoCompleteApi, "/account/education/autocomplete")
+# Change email
+api.add_resource(ChangeEmailSendEmailApi, "/account/change-email")
+api.add_resource(ChangeEmailCheckApi, "/account/change-email/validity")
+api.add_resource(ChangeEmailResetApi, "/account/change-email/reset")
+api.add_resource(CheckEmailUnique, "/account/change-email/check-email-unique")
 # api.add_resource(AccountEmailApi, '/account/email')
 # api.add_resource(AccountEmailVerifyApi, '/account/email-verify')

api/controllers/console/workspace/error.py

@@ -13,12 +13,6 @@ class CurrentPasswordIncorrectError(BaseHTTPException):
     code = 400
 
 
-class ProviderRequestFailedError(BaseHTTPException):
-    error_code = "provider_request_failed"
-    description = None
-    code = 400
-
-
 class InvalidInvitationCodeError(BaseHTTPException):
     error_code = "invalid_invitation_code"
     description = "Invalid invitation code."

api/controllers/console/workspace/members.py

@@ -1,22 +1,34 @@
 from urllib import parse
 
+from flask import request
 from flask_login import current_user
 from flask_restful import Resource, abort, marshal_with, reqparse
 
 import services
 from configs import dify_config
 from controllers.console import api
-from controllers.console.error import WorkspaceMembersLimitExceeded
+from controllers.console.auth.error import (
+    CannotTransferOwnerToSelfError,
+    EmailCodeError,
+    InvalidEmailError,
+    InvalidTokenError,
+    MemberNotInTenantError,
+    NotOwnerError,
+    OwnerTransferLimitError,
+)
+from controllers.console.error import EmailSendIpLimitError, WorkspaceMembersLimitExceeded
 from controllers.console.wraps import (
     account_initialization_required,
     cloud_edition_billing_resource_check,
+    is_allow_transfer_owner,
     setup_required,
 )
 from extensions.ext_database import db
 from fields.member_fields import account_with_role_list_fields
+from libs.helper import extract_remote_ip
 from libs.login import login_required
 from models.account import Account, TenantAccountRole
-from services.account_service import RegisterService, TenantService
+from services.account_service import AccountService, RegisterService, TenantService
 from services.errors.account import AccountAlreadyInTenantError
 from services.feature_service import FeatureService
 
@@ -85,6 +97,7 @@ class MemberInviteEmailApi(Resource):
         return {
             "result": "success",
             "invitation_results": invitation_results,
+            "tenant_id": str(current_user.current_tenant.id),
         }, 201
 
 
@@ -110,7 +123,7 @@ class MemberCancelInviteApi(Resource):
             except Exception as e:
                 raise ValueError(str(e))
 
-        return {"result": "success"}, 204
+        return {"result": "success", "tenant_id": str(current_user.current_tenant.id)}, 200
 
 
 class MemberUpdateRoleApi(Resource):
@@ -155,8 +168,146 @@ class DatasetOperatorMemberListApi(Resource):
         return {"result": "success", "accounts": members}, 200
 
 
+class SendOwnerTransferEmailApi(Resource):
+    """Send owner transfer email."""
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @is_allow_transfer_owner
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("language", type=str, required=False, location="json")
+        args = parser.parse_args()
+        ip_address = extract_remote_ip(request)
+        if AccountService.is_email_send_ip_limit(ip_address):
+            raise EmailSendIpLimitError()
+
+        # check if the current user is the owner of the workspace
+        if not TenantService.is_owner(current_user, current_user.current_tenant):
+            raise NotOwnerError()
+
+        if args["language"] is not None and args["language"] == "zh-Hans":
+            language = "zh-Hans"
+        else:
+            language = "en-US"
+
+        email = current_user.email
+
+        token = AccountService.send_owner_transfer_email(
+            account=current_user,
+            email=email,
+            language=language,
+            workspace_name=current_user.current_tenant.name,
+        )
+
+        return {"result": "success", "data": token}
+
+
+class OwnerTransferCheckApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @is_allow_transfer_owner
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("code", type=str, required=True, location="json")
+        parser.add_argument("token", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+        # check if the current user is the owner of the workspace
+        if not TenantService.is_owner(current_user, current_user.current_tenant):
+            raise NotOwnerError()
+
+        user_email = current_user.email
+
+        is_owner_transfer_error_rate_limit = AccountService.is_owner_transfer_error_rate_limit(user_email)
+        if is_owner_transfer_error_rate_limit:
+            raise OwnerTransferLimitError()
+
+        token_data = AccountService.get_owner_transfer_data(args["token"])
+        if token_data is None:
+            raise InvalidTokenError()
+
+        if user_email != token_data.get("email"):
+            raise InvalidEmailError()
+
+        if args["code"] != token_data.get("code"):
+            AccountService.add_owner_transfer_error_rate_limit(user_email)
+            raise EmailCodeError()
+
+        # Verified, revoke the first token
+        AccountService.revoke_owner_transfer_token(args["token"])
+
+        # Refresh token data by generating a new token
+        _, new_token = AccountService.generate_owner_transfer_token(user_email, code=args["code"], additional_data={})
+
+        AccountService.reset_owner_transfer_error_rate_limit(user_email)
+        return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
+
+
+class OwnerTransfer(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @is_allow_transfer_owner
+    def post(self, member_id):
+        parser = reqparse.RequestParser()
+        parser.add_argument("token", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+
+        # check if the current user is the owner of the workspace
+        if not TenantService.is_owner(current_user, current_user.current_tenant):
+            raise NotOwnerError()
+
+        if current_user.id == str(member_id):
+            raise CannotTransferOwnerToSelfError()
+
+        transfer_token_data = AccountService.get_owner_transfer_data(args["token"])
+        if not transfer_token_data:
+            raise InvalidTokenError()
+
+        if transfer_token_data.get("email") != current_user.email:
+            raise InvalidEmailError()
+
+        AccountService.revoke_owner_transfer_token(args["token"])
+
+        member = db.session.get(Account, str(member_id))
+        if not member:
+            abort(404)
+        else:
+            member_account = member
+        if not TenantService.is_member(member_account, current_user.current_tenant):
+            raise MemberNotInTenantError()
+
+        try:
+            assert member is not None, "Member not found"
+            TenantService.update_member_role(current_user.current_tenant, member, "owner", current_user)
+
+            AccountService.send_new_owner_transfer_notify_email(
+                account=member,
+                email=member.email,
+                workspace_name=current_user.current_tenant.name,
+            )
+
+            AccountService.send_old_owner_transfer_notify_email(
+                account=current_user,
+                email=current_user.email,
+                workspace_name=current_user.current_tenant.name,
+                new_owner_email=member.email,
+            )
+
+        except Exception as e:
+            raise ValueError(str(e))
+
+        return {"result": "success"}
+
+
 api.add_resource(MemberListApi, "/workspaces/current/members")
 api.add_resource(MemberInviteEmailApi, "/workspaces/current/members/invite-email")
 api.add_resource(MemberCancelInviteApi, "/workspaces/current/members/<uuid:member_id>")
 api.add_resource(MemberUpdateRoleApi, "/workspaces/current/members/<uuid:member_id>/update-role")
 api.add_resource(DatasetOperatorMemberListApi, "/workspaces/current/dataset-operators")
+# owner transfer
+api.add_resource(SendOwnerTransferEmailApi, "/workspaces/current/members/send-owner-transfer-confirm-email")
+api.add_resource(OwnerTransferCheckApi, "/workspaces/current/members/owner-transfer-check")
+api.add_resource(OwnerTransfer, "/workspaces/current/members/<uuid:member_id>/owner-transfer")

api/controllers/console/workspace/plugin.py

@@ -13,6 +13,7 @@ from core.model_runtime.utils.encoders import jsonable_encoder
 from core.plugin.impl.exc import PluginDaemonClientSideError
 from libs.login import login_required
 from models.account import TenantPluginPermission
+from services.plugin.plugin_parameter_service import PluginParameterService
 from services.plugin.plugin_permission_service import PluginPermissionService
 from services.plugin.plugin_service import PluginService
 
@@ -497,6 +498,42 @@ class PluginFetchPermissionApi(Resource):
         )
 
 
+class PluginFetchDynamicSelectOptionsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        # check if the user is admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        tenant_id = current_user.current_tenant_id
+        user_id = current_user.id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("plugin_id", type=str, required=True, location="args")
+        parser.add_argument("provider", type=str, required=True, location="args")
+        parser.add_argument("action", type=str, required=True, location="args")
+        parser.add_argument("parameter", type=str, required=True, location="args")
+        parser.add_argument("provider_type", type=str, required=True, location="args")
+        args = parser.parse_args()
+
+        try:
+            options = PluginParameterService.get_dynamic_select_options(
+                tenant_id,
+                user_id,
+                args["plugin_id"],
+                args["provider"],
+                args["action"],
+                args["parameter"],
+                args["provider_type"],
+            )
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder({"options": options})
+
+
 api.add_resource(PluginDebuggingKeyApi, "/workspaces/current/plugin/debugging-key")
 api.add_resource(PluginListApi, "/workspaces/current/plugin/list")
 api.add_resource(PluginListLatestVersionsApi, "/workspaces/current/plugin/list/latest-versions")
@@ -521,3 +558,5 @@ api.add_resource(PluginFetchMarketplacePkgApi, "/workspaces/current/plugin/marke
 
 api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change")
 api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch")
+
+api.add_resource(PluginFetchDynamicSelectOptionsApi, "/workspaces/current/plugin/parameters/dynamic-options")

api/controllers/console/workspace/tool_providers.py

@@ -1,25 +1,52 @@
 import io
+from urllib.parse import urlparse
 
-from flask import send_file
+from flask import make_response, redirect, request, send_file
 from flask_login import current_user
-from flask_restful import Resource, reqparse
-from sqlalchemy.orm import Session
+from flask_restful import (
+    Resource,
+    reqparse,
+)
 from werkzeug.exceptions import Forbidden
 
 from configs import dify_config
 from controllers.console import api
-from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
+from controllers.console.wraps import (
+    account_initialization_required,
+    enterprise_license_required,
+    setup_required,
+)
+from core.mcp.auth.auth_flow import auth, handle_callback
+from core.mcp.auth.auth_provider import OAuthClientProvider
+from core.mcp.error import MCPAuthError, MCPError
+from core.mcp.mcp_client import MCPClient
 from core.model_runtime.utils.encoders import jsonable_encoder
-from extensions.ext_database import db
-from libs.helper import alphanumeric, uuid_value
+from core.plugin.entities.plugin import ToolProviderID
+from core.plugin.impl.oauth import OAuthHandler
+from core.tools.entities.tool_entities import CredentialType
+from libs.helper import StrLen, alphanumeric, uuid_value
 from libs.login import login_required
+from services.plugin.oauth_service import OAuthProxyService
 from services.tools.api_tools_manage_service import ApiToolManageService
 from services.tools.builtin_tools_manage_service import BuiltinToolManageService
+from services.tools.mcp_tools_mange_service import MCPToolManageService
 from services.tools.tool_labels_service import ToolLabelsService
 from services.tools.tools_manage_service import ToolCommonService
+from services.tools.tools_transform_service import ToolTransformService
 from services.tools.workflow_tools_manage_service import WorkflowToolManageService
 
 
+def is_valid_url(url: str) -> bool:
+    if not url:
+        return False
+
+    try:
+        parsed = urlparse(url)
+        return all([parsed.scheme, parsed.netloc]) and parsed.scheme in ["http", "https"]
+    except Exception:
+        return False
+
+
 class ToolProviderListApi(Resource):
     @setup_required
     @login_required
@@ -34,7 +61,7 @@ class ToolProviderListApi(Resource):
         req.add_argument(
             "type",
             type=str,
-            choices=["builtin", "model", "api", "workflow"],
+            choices=["builtin", "model", "api", "workflow", "mcp"],
             required=False,
             nullable=True,
             location="args",
@@ -71,7 +98,7 @@ class ToolBuiltinProviderInfoApi(Resource):
         user_id = user.id
         tenant_id = user.current_tenant_id
 
-        return jsonable_encoder(BuiltinToolManageService.get_builtin_tool_provider_info(user_id, tenant_id, provider))
+        return jsonable_encoder(BuiltinToolManageService.get_builtin_tool_provider_info(tenant_id, provider))
 
 
 class ToolBuiltinProviderDeleteApi(Resource):
@@ -80,17 +107,47 @@ class ToolBuiltinProviderDeleteApi(Resource):
     @account_initialization_required
     def post(self, provider):
         user = current_user
-
         if not user.is_admin_or_owner:
             raise Forbidden()
 
+        tenant_id = user.current_tenant_id
+        req = reqparse.RequestParser()
+        req.add_argument("credential_id", type=str, required=True, nullable=False, location="json")
+        args = req.parse_args()
+
+        return BuiltinToolManageService.delete_builtin_tool_provider(
+            tenant_id,
+            provider,
+            args["credential_id"],
+        )
+
+
+class ToolBuiltinProviderAddApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, provider):
+        user = current_user
+
         user_id = user.id
         tenant_id = user.current_tenant_id
 
-        return BuiltinToolManageService.delete_builtin_tool_provider(
-            user_id,
-            tenant_id,
-            provider,
+        parser = reqparse.RequestParser()
+        parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
+        parser.add_argument("name", type=StrLen(30), required=False, nullable=False, location="json")
+        parser.add_argument("type", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+
+        if args["type"] not in CredentialType.values():
+            raise ValueError(f"Invalid credential type: {args['type']}")
+
+        return BuiltinToolManageService.add_builtin_tool_provider(
+            user_id=user_id,
+            tenant_id=tenant_id,
+            provider=provider,
+            credentials=args["credentials"],
+            name=args["name"],
+            api_type=CredentialType.of(args["type"]),
         )
 
 
@@ -108,19 +165,20 @@ class ToolBuiltinProviderUpdateApi(Resource):
         tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
-        parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
+        parser.add_argument("credential_id", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("credentials", type=dict, required=False, nullable=True, location="json")
+        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
 
         args = parser.parse_args()
 
-        with Session(db.engine) as session:
-            result = BuiltinToolManageService.update_builtin_tool_provider(
-                session=session,
-                user_id=user_id,
-                tenant_id=tenant_id,
-                provider_name=provider,
-                credentials=args["credentials"],
-            )
-            session.commit()
+        result = BuiltinToolManageService.update_builtin_tool_provider(
+            user_id=user_id,
+            tenant_id=tenant_id,
+            provider=provider,
+            credential_id=args["credential_id"],
+            credentials=args.get("credentials", None),
+            name=args.get("name", ""),
+        )
         return result
 
 
@@ -131,9 +189,11 @@ class ToolBuiltinProviderGetCredentialsApi(Resource):
     def get(self, provider):
         tenant_id = current_user.current_tenant_id
 
-        return BuiltinToolManageService.get_builtin_tool_provider_credentials(
-            tenant_id=tenant_id,
-            provider_name=provider,
+        return jsonable_encoder(
+            BuiltinToolManageService.get_builtin_tool_provider_credentials(
+                tenant_id=tenant_id,
+                provider_name=provider,
+            )
         )
 
 
@@ -326,12 +386,15 @@ class ToolBuiltinProviderCredentialsSchemaApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, provider):
+    def get(self, provider, credential_type):
         user = current_user
-
         tenant_id = user.current_tenant_id
 
-        return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider, tenant_id)
+        return jsonable_encoder(
+            BuiltinToolManageService.list_builtin_provider_credentials_schema(
+                provider, CredentialType.of(credential_type), tenant_id
+            )
+        )
 
 
 class ToolApiProviderSchemaApi(Resource):
@@ -568,15 +631,12 @@ class ToolApiListApi(Resource):
     @account_initialization_required
     def get(self):
         user = current_user
-
-        user_id = user.id
         tenant_id = user.current_tenant_id
 
         return jsonable_encoder(
             [
                 provider.to_dict()
                 for provider in ApiToolManageService.list_api_tools(
-                    user_id,
                     tenant_id,
                 )
             ]
@@ -613,20 +673,369 @@ class ToolLabelsApi(Resource):
         return jsonable_encoder(ToolLabelsService.list_tool_labels())
 
 
+class ToolPluginOAuthApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        tool_provider = ToolProviderID(provider)
+        plugin_id = tool_provider.plugin_id
+        provider_name = tool_provider.provider_name
+
+        # todo check permission
+        user = current_user
+
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        tenant_id = user.current_tenant_id
+        oauth_client_params = BuiltinToolManageService.get_oauth_client(tenant_id=tenant_id, provider=provider)
+        if oauth_client_params is None:
+            raise Forbidden("no oauth available client config found for this tool provider")
+
+        oauth_handler = OAuthHandler()
+        context_id = OAuthProxyService.create_proxy_context(
+            user_id=current_user.id, tenant_id=tenant_id, plugin_id=plugin_id, provider=provider_name
+        )
+        redirect_uri = f"{dify_config.CONSOLE_API_URL}/console/api/oauth/plugin/{provider}/tool/callback"
+        authorization_url_response = oauth_handler.get_authorization_url(
+            tenant_id=tenant_id,
+            user_id=user.id,
+            plugin_id=plugin_id,
+            provider=provider_name,
+            redirect_uri=redirect_uri,
+            system_credentials=oauth_client_params,
+        )
+        response = make_response(jsonable_encoder(authorization_url_response))
+        response.set_cookie(
+            "context_id",
+            context_id,
+            httponly=True,
+            samesite="Lax",
+            max_age=OAuthProxyService.__MAX_AGE__,
+        )
+        return response
+
+
+class ToolOAuthCallback(Resource):
+    @setup_required
+    def get(self, provider):
+        context_id = request.cookies.get("context_id")
+        if not context_id:
+            raise Forbidden("context_id not found")
+
+        context = OAuthProxyService.use_proxy_context(context_id)
+        if context is None:
+            raise Forbidden("Invalid context_id")
+
+        tool_provider = ToolProviderID(provider)
+        plugin_id = tool_provider.plugin_id
+        provider_name = tool_provider.provider_name
+        user_id, tenant_id = context.get("user_id"), context.get("tenant_id")
+
+        oauth_handler = OAuthHandler()
+        oauth_client_params = BuiltinToolManageService.get_oauth_client(tenant_id, provider)
+        if oauth_client_params is None:
+            raise Forbidden("no oauth available client config found for this tool provider")
+
+        redirect_uri = f"{dify_config.CONSOLE_API_URL}/console/api/oauth/plugin/{provider}/tool/callback"
+        credentials = oauth_handler.get_credentials(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            plugin_id=plugin_id,
+            provider=provider_name,
+            redirect_uri=redirect_uri,
+            system_credentials=oauth_client_params,
+            request=request,
+        ).credentials
+
+        if not credentials:
+            raise Exception("the plugin credentials failed")
+
+        # add credentials to database
+        BuiltinToolManageService.add_builtin_tool_provider(
+            user_id=user_id,
+            tenant_id=tenant_id,
+            provider=provider,
+            credentials=dict(credentials),
+            api_type=CredentialType.OAUTH2,
+        )
+        return redirect(f"{dify_config.CONSOLE_WEB_URL}/oauth-callback")
+
+
+class ToolBuiltinProviderSetDefaultApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, provider):
+        parser = reqparse.RequestParser()
+        parser.add_argument("id", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+        return BuiltinToolManageService.set_default_provider(
+            tenant_id=current_user.current_tenant_id, user_id=current_user.id, provider=provider, id=args["id"]
+        )
+
+
+class ToolOAuthCustomClient(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, provider):
+        parser = reqparse.RequestParser()
+        parser.add_argument("client_params", type=dict, required=False, nullable=True, location="json")
+        parser.add_argument("enable_oauth_custom_client", type=bool, required=False, nullable=True, location="json")
+        args = parser.parse_args()
+
+        user = current_user
+
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        return BuiltinToolManageService.save_custom_oauth_client_params(
+            tenant_id=user.current_tenant_id,
+            provider=provider,
+            client_params=args.get("client_params", {}),
+            enable_oauth_custom_client=args.get("enable_oauth_custom_client", True),
+        )
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        return jsonable_encoder(
+            BuiltinToolManageService.get_custom_oauth_client_params(
+                tenant_id=current_user.current_tenant_id, provider=provider
+            )
+        )
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, provider):
+        return jsonable_encoder(
+            BuiltinToolManageService.delete_custom_oauth_client_params(
+                tenant_id=current_user.current_tenant_id, provider=provider
+            )
+        )
+
+
+class ToolBuiltinProviderGetOauthClientSchemaApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        return jsonable_encoder(
+            BuiltinToolManageService.get_builtin_tool_provider_oauth_client_schema(
+                tenant_id=current_user.current_tenant_id, provider_name=provider
+            )
+        )
+
+
+class ToolBuiltinProviderGetCredentialInfoApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        tenant_id = current_user.current_tenant_id
+
+        return jsonable_encoder(
+            BuiltinToolManageService.get_builtin_tool_provider_credential_info(
+                tenant_id=tenant_id,
+                provider=provider,
+            )
+        )
+
+
+class ToolProviderMCPApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("server_url", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("name", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("icon", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("icon_type", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("icon_background", type=str, required=False, nullable=True, location="json", default="")
+        parser.add_argument("server_identifier", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+        user = current_user
+        if not is_valid_url(args["server_url"]):
+            raise ValueError("Server URL is not valid.")
+        return jsonable_encoder(
+            MCPToolManageService.create_mcp_provider(
+                tenant_id=user.current_tenant_id,
+                server_url=args["server_url"],
+                name=args["name"],
+                icon=args["icon"],
+                icon_type=args["icon_type"],
+                icon_background=args["icon_background"],
+                user_id=user.id,
+                server_identifier=args["server_identifier"],
+            )
+        )
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def put(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("server_url", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("name", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("icon", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("icon_type", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("icon_background", type=str, required=False, nullable=True, location="json")
+        parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("server_identifier", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+        if not is_valid_url(args["server_url"]):
+            if "[__HIDDEN__]" in args["server_url"]:
+                pass
+            else:
+                raise ValueError("Server URL is not valid.")
+        MCPToolManageService.update_mcp_provider(
+            tenant_id=current_user.current_tenant_id,
+            provider_id=args["provider_id"],
+            server_url=args["server_url"],
+            name=args["name"],
+            icon=args["icon"],
+            icon_type=args["icon_type"],
+            icon_background=args["icon_background"],
+            server_identifier=args["server_identifier"],
+        )
+        return {"result": "success"}
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+        MCPToolManageService.delete_mcp_tool(tenant_id=current_user.current_tenant_id, provider_id=args["provider_id"])
+        return {"result": "success"}
+
+
+class ToolMCPAuthApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("authorization_code", type=str, required=False, nullable=True, location="json")
+        args = parser.parse_args()
+        provider_id = args["provider_id"]
+        tenant_id = current_user.current_tenant_id
+        provider = MCPToolManageService.get_mcp_provider_by_provider_id(provider_id, tenant_id)
+        if not provider:
+            raise ValueError("provider not found")
+        try:
+            with MCPClient(
+                provider.decrypted_server_url,
+                provider_id,
+                tenant_id,
+                authed=False,
+                authorization_code=args["authorization_code"],
+                for_list=True,
+            ):
+                MCPToolManageService.update_mcp_provider_credentials(
+                    mcp_provider=provider,
+                    credentials=provider.decrypted_credentials,
+                    authed=True,
+                )
+                return {"result": "success"}
+
+        except MCPAuthError:
+            auth_provider = OAuthClientProvider(provider_id, tenant_id, for_list=True)
+            return auth(auth_provider, provider.decrypted_server_url, args["authorization_code"])
+        except MCPError as e:
+            MCPToolManageService.update_mcp_provider_credentials(
+                mcp_provider=provider,
+                credentials={},
+                authed=False,
+            )
+            raise ValueError(f"Failed to connect to MCP server: {e}") from e
+
+
+class ToolMCPDetailApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider_id):
+        user = current_user
+        provider = MCPToolManageService.get_mcp_provider_by_provider_id(provider_id, user.current_tenant_id)
+        return jsonable_encoder(ToolTransformService.mcp_provider_to_user_provider(provider, for_list=True))
+
+
+class ToolMCPListAllApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user = current_user
+        tenant_id = user.current_tenant_id
+
+        tools = MCPToolManageService.retrieve_mcp_tools(tenant_id=tenant_id)
+
+        return [tool.to_dict() for tool in tools]
+
+
+class ToolMCPUpdateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider_id):
+        tenant_id = current_user.current_tenant_id
+        tools = MCPToolManageService.list_mcp_tool_from_remote_server(
+            tenant_id=tenant_id,
+            provider_id=provider_id,
+        )
+        return jsonable_encoder(tools)
+
+
+class ToolMCPCallbackApi(Resource):
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("code", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("state", type=str, required=True, nullable=False, location="args")
+        args = parser.parse_args()
+        state_key = args["state"]
+        authorization_code = args["code"]
+        handle_callback(state_key, authorization_code)
+        return redirect(f"{dify_config.CONSOLE_WEB_URL}/oauth-callback")
+
+
 # tool provider
 api.add_resource(ToolProviderListApi, "/workspaces/current/tool-providers")
 
+# tool oauth
+api.add_resource(ToolPluginOAuthApi, "/oauth/plugin/<path:provider>/tool/authorization-url")
+api.add_resource(ToolOAuthCallback, "/oauth/plugin/<path:provider>/tool/callback")
+api.add_resource(ToolOAuthCustomClient, "/workspaces/current/tool-provider/builtin/<path:provider>/oauth/custom-client")
+
 # builtin tool provider
 api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin/<path:provider>/tools")
 api.add_resource(ToolBuiltinProviderInfoApi, "/workspaces/current/tool-provider/builtin/<path:provider>/info")
+api.add_resource(ToolBuiltinProviderAddApi, "/workspaces/current/tool-provider/builtin/<path:provider>/add")
 api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin/<path:provider>/delete")
 api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin/<path:provider>/update")
+api.add_resource(
+    ToolBuiltinProviderSetDefaultApi, "/workspaces/current/tool-provider/builtin/<path:provider>/default-credential"
+)
+api.add_resource(
+    ToolBuiltinProviderGetCredentialInfoApi, "/workspaces/current/tool-provider/builtin/<path:provider>/credential/info"
+)
 api.add_resource(
     ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin/<path:provider>/credentials"
 )
 api.add_resource(
     ToolBuiltinProviderCredentialsSchemaApi,
-    "/workspaces/current/tool-provider/builtin/<path:provider>/credentials_schema",
+    "/workspaces/current/tool-provider/builtin/<path:provider>/credential/schema/<path:credential_type>",
+)
+api.add_resource(
+    ToolBuiltinProviderGetOauthClientSchemaApi,
+    "/workspaces/current/tool-provider/builtin/<path:provider>/oauth/client-schema",
 )
 api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin/<path:provider>/icon")
 
@@ -647,8 +1056,15 @@ api.add_resource(ToolWorkflowProviderDeleteApi, "/workspaces/current/tool-provid
 api.add_resource(ToolWorkflowProviderGetApi, "/workspaces/current/tool-provider/workflow/get")
 api.add_resource(ToolWorkflowProviderListToolApi, "/workspaces/current/tool-provider/workflow/tools")
 
+# mcp tool provider
+api.add_resource(ToolMCPDetailApi, "/workspaces/current/tool-provider/mcp/tools/<path:provider_id>")
+api.add_resource(ToolProviderMCPApi, "/workspaces/current/tool-provider/mcp")
+api.add_resource(ToolMCPUpdateApi, "/workspaces/current/tool-provider/mcp/update/<path:provider_id>")
+api.add_resource(ToolMCPAuthApi, "/workspaces/current/tool-provider/mcp/auth")
+api.add_resource(ToolMCPCallbackApi, "/mcp/oauth/callback")
+
 api.add_resource(ToolBuiltinListApi, "/workspaces/current/tools/builtin")
 api.add_resource(ToolApiListApi, "/workspaces/current/tools/api")
+api.add_resource(ToolMCPListAllApi, "/workspaces/current/tools/mcp")
 api.add_resource(ToolWorkflowListApi, "/workspaces/current/tools/workflow")
-
 api.add_resource(ToolLabelsApi, "/workspaces/current/tool-labels")

api/controllers/console/wraps.py

@@ -235,3 +235,29 @@ def email_password_login_enabled(view):
         abort(403)
 
     return decorated
+
+
+def enable_change_email(view):
+    @wraps(view)
+    def decorated(*args, **kwargs):
+        features = FeatureService.get_system_features()
+        if features.enable_change_email:
+            return view(*args, **kwargs)
+
+        # otherwise, return 403
+        abort(403)
+
+    return decorated
+
+
+def is_allow_transfer_owner(view):
+    @wraps(view)
+    def decorated(*args, **kwargs):
+        features = FeatureService.get_features(current_user.current_tenant_id)
+        if features.is_allow_transfer_workspace:
+            return view(*args, **kwargs)
+
+        # otherwise, return 403
+        abort(403)
+
+    return decorated

api/controllers/files/upload.py

@@ -87,7 +87,5 @@ class PluginUploadFileApi(Resource):
         except services.errors.file.UnsupportedFileTypeError:
             raise UnsupportedFileTypeError()
 
-        return tool_file, 201
-
 
 api.add_resource(PluginUploadFileApi, "/files/upload/for-plugin")

api/controllers/inner_api/plugin/plugin.py

@@ -17,6 +17,7 @@ from core.plugin.entities.request import (
     RequestInvokeApp,
     RequestInvokeEncrypt,
     RequestInvokeLLM,
+    RequestInvokeLLMWithStructuredOutput,
     RequestInvokeModeration,
     RequestInvokeParameterExtractorNode,
     RequestInvokeQuestionClassifierNode,
@@ -47,6 +48,21 @@ class PluginInvokeLLMApi(Resource):
         return length_prefixed_response(0xF, generator())
 
 
+class PluginInvokeLLMWithStructuredOutputApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeLLMWithStructuredOutput)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeLLMWithStructuredOutput):
+        def generator():
+            response = PluginModelBackwardsInvocation.invoke_llm_with_structured_output(
+                user_model.id, tenant_model, payload
+            )
+            return PluginModelBackwardsInvocation.convert_to_event_stream(response)
+
+        return length_prefixed_response(0xF, generator())
+
+
 class PluginInvokeTextEmbeddingApi(Resource):
     @setup_required
     @plugin_inner_api_only
@@ -159,6 +175,7 @@ class PluginInvokeToolApi(Resource):
                     provider=payload.provider,
                     tool_name=payload.tool,
                     tool_parameters=payload.tool_parameters,
+                    credential_id=payload.credential_id,
                 ),
             )
 
@@ -291,6 +308,7 @@ class PluginFetchAppInfoApi(Resource):
 
 
 api.add_resource(PluginInvokeLLMApi, "/invoke/llm")
+api.add_resource(PluginInvokeLLMWithStructuredOutputApi, "/invoke/llm/structured-output")
 api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding")
 api.add_resource(PluginInvokeRerankApi, "/invoke/rerank")
 api.add_resource(PluginInvokeTTSApi, "/invoke/tts")

api/controllers/inner_api/workspace/workspace.py

@@ -29,7 +29,19 @@ class EnterpriseWorkspace(Resource):
 
         tenant_was_created.send(tenant)
 
-        return {"message": "enterprise workspace created."}
+        resp = {
+            "id": tenant.id,
+            "name": tenant.name,
+            "plan": tenant.plan,
+            "status": tenant.status,
+            "created_at": tenant.created_at.isoformat() + "Z" if tenant.created_at else None,
+            "updated_at": tenant.updated_at.isoformat() + "Z" if tenant.updated_at else None,
+        }
+
+        return {
+            "message": "enterprise workspace created.",
+            "tenant": resp,
+        }
 
 
 class EnterpriseWorkspaceNoOwnerEmail(Resource):

api/controllers/mcp/__init__.py

@@ -0,0 +1,8 @@
+from flask import Blueprint
+
+from libs.external_api import ExternalApi
+
+bp = Blueprint("mcp", __name__, url_prefix="/mcp")
+api = ExternalApi(bp)
+
+from . import mcp

api/controllers/mcp/mcp.py

@@ -0,0 +1,104 @@
+from flask_restful import Resource, reqparse
+from pydantic import ValidationError
+
+from controllers.console.app.mcp_server import AppMCPServerStatus
+from controllers.mcp import api
+from core.app.app_config.entities import VariableEntity
+from core.mcp import types
+from core.mcp.server.streamable_http import MCPServerStreamableHTTPRequestHandler
+from core.mcp.types import ClientNotification, ClientRequest
+from core.mcp.utils import create_mcp_error_response
+from extensions.ext_database import db
+from libs import helper
+from models.model import App, AppMCPServer, AppMode
+
+
+class MCPAppApi(Resource):
+    def post(self, server_code):
+        def int_or_str(value):
+            if isinstance(value, (int, str)):
+                return value
+            else:
+                return None
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("jsonrpc", type=str, required=True, location="json")
+        parser.add_argument("method", type=str, required=True, location="json")
+        parser.add_argument("params", type=dict, required=False, location="json")
+        parser.add_argument("id", type=int_or_str, required=False, location="json")
+        args = parser.parse_args()
+
+        request_id = args.get("id")
+
+        server = db.session.query(AppMCPServer).filter(AppMCPServer.server_code == server_code).first()
+        if not server:
+            return helper.compact_generate_response(
+                create_mcp_error_response(request_id, types.INVALID_REQUEST, "Server Not Found")
+            )
+
+        if server.status != AppMCPServerStatus.ACTIVE:
+            return helper.compact_generate_response(
+                create_mcp_error_response(request_id, types.INVALID_REQUEST, "Server is not active")
+            )
+
+        app = db.session.query(App).filter(App.id == server.app_id).first()
+        if not app:
+            return helper.compact_generate_response(
+                create_mcp_error_response(request_id, types.INVALID_REQUEST, "App Not Found")
+            )
+
+        if app.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
+            workflow = app.workflow
+            if workflow is None:
+                return helper.compact_generate_response(
+                    create_mcp_error_response(request_id, types.INVALID_REQUEST, "App is unavailable")
+                )
+
+            user_input_form = workflow.user_input_form(to_old_structure=True)
+        else:
+            app_model_config = app.app_model_config
+            if app_model_config is None:
+                return helper.compact_generate_response(
+                    create_mcp_error_response(request_id, types.INVALID_REQUEST, "App is unavailable")
+                )
+
+            features_dict = app_model_config.to_dict()
+            user_input_form = features_dict.get("user_input_form", [])
+        converted_user_input_form: list[VariableEntity] = []
+        try:
+            for item in user_input_form:
+                variable_type = item.get("type", "") or list(item.keys())[0]
+                variable = item[variable_type]
+                converted_user_input_form.append(
+                    VariableEntity(
+                        type=variable_type,
+                        variable=variable.get("variable"),
+                        description=variable.get("description") or "",
+                        label=variable.get("label"),
+                        required=variable.get("required", False),
+                        max_length=variable.get("max_length"),
+                        options=variable.get("options") or [],
+                    )
+                )
+        except ValidationError as e:
+            return helper.compact_generate_response(
+                create_mcp_error_response(request_id, types.INVALID_PARAMS, f"Invalid user_input_form: {str(e)}")
+            )
+
+        try:
+            request: ClientRequest | ClientNotification = ClientRequest.model_validate(args)
+        except ValidationError as e:
+            try:
+                notification = ClientNotification.model_validate(args)
+                request = notification
+            except ValidationError as e:
+                return helper.compact_generate_response(
+                    create_mcp_error_response(request_id, types.INVALID_PARAMS, f"Invalid MCP request: {str(e)}")
+                )
+
+        mcp_server_handler = MCPServerStreamableHTTPRequestHandler(app, request, converted_user_input_form)
+        response = mcp_server_handler.handle()
+        return helper.compact_generate_response(response)
+
+
+api.add_resource(MCPAppApi, "/server/<string:server_code>/mcp")

api/controllers/service_api/app/audio.py

@@ -20,7 +20,7 @@ from controllers.service_api.app.error import (
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from models.model import App, AppMode, EndUser
+from models.model import App, EndUser
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -78,20 +78,9 @@ class TextApi(Resource):
 
             message_id = args.get("message_id", None)
             text = args.get("text", None)
-            if (
-                app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}
-                and app_model.workflow
-                and app_model.workflow.features_dict
-            ):
-                text_to_speech = app_model.workflow.features_dict.get("text_to_speech", {})
-                voice = args.get("voice") or text_to_speech.get("voice")
-            else:
-                try:
-                    voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
-                except Exception:
-                    voice = None
+            voice = args.get("voice", None)
             response = AudioService.transcript_tts(
-                app_model=app_model, message_id=message_id, end_user=end_user.external_user_id, voice=voice, text=text
+                app_model=app_model, text=text, voice=voice, end_user=end_user.external_user_id, message_id=message_id
             )
 
             return response

api/controllers/service_api/app/workflow.py

@@ -3,7 +3,7 @@ import logging
 from dateutil.parser import isoparse
 from flask_restful import Resource, fields, marshal_with, reqparse
 from flask_restful.inputs import int_range
-from sqlalchemy.orm import Session
+from sqlalchemy.orm import Session, sessionmaker
 from werkzeug.exceptions import InternalServerError
 
 from controllers.service_api import api
@@ -30,7 +30,7 @@ from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
 from libs import helper
 from libs.helper import TimestampField
 from models.model import App, AppMode, EndUser
-from models.workflow import WorkflowRun
+from repositories.factory import DifyAPIRepositoryFactory
 from services.app_generate_service import AppGenerateService
 from services.errors.llm import InvokeRateLimitError
 from services.workflow_app_service import WorkflowAppService
@@ -63,7 +63,15 @@ class WorkflowRunDetailApi(Resource):
         if app_mode not in [AppMode.WORKFLOW, AppMode.ADVANCED_CHAT]:
             raise NotWorkflowAppError()
 
-        workflow_run = db.session.query(WorkflowRun).filter(WorkflowRun.id == workflow_run_id).first()
+        # Use repository to get workflow run
+        session_maker = sessionmaker(bind=db.engine, expire_on_commit=False)
+        workflow_run_repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
+
+        workflow_run = workflow_run_repo.get_workflow_run_by_id(
+            tenant_id=app_model.tenant_id,
+            app_id=app_model.id,
+            run_id=workflow_run_id,
+        )
         return workflow_run
 
 

api/controllers/service_api/dataset/dataset.py

@@ -133,6 +133,22 @@ class DatasetListApi(DatasetApiResource):
         parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
 
         args = parser.parse_args()
+
+        if args.get("embedding_model_provider"):
+            DatasetService.check_embedding_model_setting(
+                tenant_id, args.get("embedding_model_provider"), args.get("embedding_model")
+            )
+        if (
+            args.get("retrieval_model")
+            and args.get("retrieval_model").get("reranking_model")
+            and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+        ):
+            DatasetService.check_reranking_model_setting(
+                tenant_id,
+                args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
+                args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+            )
+
         try:
             dataset = DatasetService.create_empty_dataset(
                 tenant_id=tenant_id,
@@ -265,10 +281,20 @@ class DatasetApi(DatasetApiResource):
         data = request.get_json()
 
         # check embedding model setting
-        if data.get("indexing_technique") == "high_quality":
+        if data.get("indexing_technique") == "high_quality" or data.get("embedding_model_provider"):
             DatasetService.check_embedding_model_setting(
                 dataset.tenant_id, data.get("embedding_model_provider"), data.get("embedding_model")
             )
+        if (
+            data.get("retrieval_model")
+            and data.get("retrieval_model").get("reranking_model")
+            and data.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+        ):
+            DatasetService.check_reranking_model_setting(
+                dataset.tenant_id,
+                data.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
+                data.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+            )
 
         # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
         DatasetPermissionService.check_permission(

api/controllers/service_api/dataset/document.py

@@ -3,7 +3,7 @@ import json
 from flask import request
 from flask_restful import marshal, reqparse
 from sqlalchemy import desc, select
-from werkzeug.exceptions import NotFound
+from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from controllers.common.errors import FilenameNotExistsError
@@ -18,6 +18,7 @@ from controllers.service_api.app.error import (
 from controllers.service_api.dataset.error import (
     ArchivedDocumentImmutableError,
     DocumentIndexingError,
+    InvalidMetadataError,
 )
 from controllers.service_api.wraps import (
     DatasetApiResource,
@@ -29,7 +30,7 @@ from extensions.ext_database import db
 from fields.document_fields import document_fields, document_status_fields
 from libs.login import current_user
 from models.dataset import Dataset, Document, DocumentSegment
-from services.dataset_service import DocumentService
+from services.dataset_service import DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig
 from services.file_service import FileService
 
@@ -59,6 +60,7 @@ class DocumentAddByTextApi(DatasetApiResource):
         parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
 
         args = parser.parse_args()
+
         dataset_id = str(dataset_id)
         tenant_id = str(tenant_id)
         dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
@@ -74,6 +76,21 @@ class DocumentAddByTextApi(DatasetApiResource):
         if text is None or name is None:
             raise ValueError("Both 'text' and 'name' must be non-null values.")
 
+        if args.get("embedding_model_provider"):
+            DatasetService.check_embedding_model_setting(
+                tenant_id, args.get("embedding_model_provider"), args.get("embedding_model")
+            )
+        if (
+            args.get("retrieval_model")
+            and args.get("retrieval_model").get("reranking_model")
+            and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+        ):
+            DatasetService.check_reranking_model_setting(
+                tenant_id,
+                args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
+                args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+            )
+
         upload_file = FileService.upload_text(text=str(text), text_name=str(name))
         data_source = {
             "type": "upload_file",
@@ -124,6 +141,17 @@ class DocumentUpdateByTextApi(DatasetApiResource):
         if not dataset:
             raise ValueError("Dataset does not exist.")
 
+        if (
+            args.get("retrieval_model")
+            and args.get("retrieval_model").get("reranking_model")
+            and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+        ):
+            DatasetService.check_reranking_model_setting(
+                tenant_id,
+                args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
+                args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+            )
+
         # indexing_technique is already set in dataset since this is an update
         args["indexing_technique"] = dataset.indexing_technique
 
@@ -183,11 +211,29 @@ class DocumentAddByFileApi(DatasetApiResource):
         if not dataset:
             raise ValueError("Dataset does not exist.")
 
+        if dataset.provider == "external":
+            raise ValueError("External datasets are not supported.")
+
         indexing_technique = args.get("indexing_technique") or dataset.indexing_technique
         if not indexing_technique:
             raise ValueError("indexing_technique is required.")
         args["indexing_technique"] = indexing_technique
 
+        if "embedding_model_provider" in args:
+            DatasetService.check_embedding_model_setting(
+                tenant_id, args["embedding_model_provider"], args["embedding_model"]
+            )
+        if (
+            "retrieval_model" in args
+            and args["retrieval_model"].get("reranking_model")
+            and args["retrieval_model"].get("reranking_model").get("reranking_provider_name")
+        ):
+            DatasetService.check_reranking_model_setting(
+                tenant_id,
+                args["retrieval_model"].get("reranking_model").get("reranking_provider_name"),
+                args["retrieval_model"].get("reranking_model").get("reranking_model_name"),
+            )
+
         # save file info
         file = request.files["file"]
         # check file
@@ -258,6 +304,9 @@ class DocumentUpdateByFileApi(DatasetApiResource):
         if not dataset:
             raise ValueError("Dataset does not exist.")
 
+        if dataset.provider == "external":
+            raise ValueError("External datasets are not supported.")
+
         # indexing_technique is already set in dataset since this is an update
         args["indexing_technique"] = dataset.indexing_technique
 
@@ -424,6 +473,101 @@ class DocumentIndexingStatusApi(DatasetApiResource):
         return data
 
 
+class DocumentDetailApi(DatasetApiResource):
+    METADATA_CHOICES = {"all", "only", "without"}
+
+    def get(self, tenant_id, dataset_id, document_id):
+        dataset_id = str(dataset_id)
+        document_id = str(document_id)
+
+        dataset = self.get_dataset(dataset_id, tenant_id)
+
+        document = DocumentService.get_document(dataset.id, document_id)
+
+        if not document:
+            raise NotFound("Document not found.")
+
+        if document.tenant_id != str(tenant_id):
+            raise Forbidden("No permission.")
+
+        metadata = request.args.get("metadata", "all")
+        if metadata not in self.METADATA_CHOICES:
+            raise InvalidMetadataError(f"Invalid metadata value: {metadata}")
+
+        if metadata == "only":
+            response = {"id": document.id, "doc_type": document.doc_type, "doc_metadata": document.doc_metadata_details}
+        elif metadata == "without":
+            dataset_process_rules = DatasetService.get_process_rules(dataset_id)
+            document_process_rules = document.dataset_process_rule.to_dict()
+            data_source_info = document.data_source_detail_dict
+            response = {
+                "id": document.id,
+                "position": document.position,
+                "data_source_type": document.data_source_type,
+                "data_source_info": data_source_info,
+                "dataset_process_rule_id": document.dataset_process_rule_id,
+                "dataset_process_rule": dataset_process_rules,
+                "document_process_rule": document_process_rules,
+                "name": document.name,
+                "created_from": document.created_from,
+                "created_by": document.created_by,
+                "created_at": document.created_at.timestamp(),
+                "tokens": document.tokens,
+                "indexing_status": document.indexing_status,
+                "completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
+                "updated_at": int(document.updated_at.timestamp()) if document.updated_at else None,
+                "indexing_latency": document.indexing_latency,
+                "error": document.error,
+                "enabled": document.enabled,
+                "disabled_at": int(document.disabled_at.timestamp()) if document.disabled_at else None,
+                "disabled_by": document.disabled_by,
+                "archived": document.archived,
+                "segment_count": document.segment_count,
+                "average_segment_length": document.average_segment_length,
+                "hit_count": document.hit_count,
+                "display_status": document.display_status,
+                "doc_form": document.doc_form,
+                "doc_language": document.doc_language,
+            }
+        else:
+            dataset_process_rules = DatasetService.get_process_rules(dataset_id)
+            document_process_rules = document.dataset_process_rule.to_dict()
+            data_source_info = document.data_source_detail_dict
+            response = {
+                "id": document.id,
+                "position": document.position,
+                "data_source_type": document.data_source_type,
+                "data_source_info": data_source_info,
+                "dataset_process_rule_id": document.dataset_process_rule_id,
+                "dataset_process_rule": dataset_process_rules,
+                "document_process_rule": document_process_rules,
+                "name": document.name,
+                "created_from": document.created_from,
+                "created_by": document.created_by,
+                "created_at": document.created_at.timestamp(),
+                "tokens": document.tokens,
+                "indexing_status": document.indexing_status,
+                "completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
+                "updated_at": int(document.updated_at.timestamp()) if document.updated_at else None,
+                "indexing_latency": document.indexing_latency,
+                "error": document.error,
+                "enabled": document.enabled,
+                "disabled_at": int(document.disabled_at.timestamp()) if document.disabled_at else None,
+                "disabled_by": document.disabled_by,
+                "archived": document.archived,
+                "doc_type": document.doc_type,
+                "doc_metadata": document.doc_metadata_details,
+                "segment_count": document.segment_count,
+                "average_segment_length": document.average_segment_length,
+                "hit_count": document.hit_count,
+                "display_status": document.display_status,
+                "doc_form": document.doc_form,
+                "doc_language": document.doc_language,
+            }
+
+        return response
+
+
 api.add_resource(
     DocumentAddByTextApi,
     "/datasets/<uuid:dataset_id>/document/create_by_text",
@@ -447,3 +591,4 @@ api.add_resource(
 api.add_resource(DocumentDeleteApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>")
 api.add_resource(DocumentListApi, "/datasets/<uuid:dataset_id>/documents")
 api.add_resource(DocumentIndexingStatusApi, "/datasets/<uuid:dataset_id>/documents/<string:batch>/indexing-status")
+api.add_resource(DocumentDetailApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>")

api/controllers/service_api/dataset/error.py

@@ -25,12 +25,6 @@ class UnsupportedFileTypeError(BaseHTTPException):
     code = 415
 
 
-class HighQualityDatasetOnlyError(BaseHTTPException):
-    error_code = "high_quality_dataset_only"
-    description = "Current operation only supports 'high-quality' datasets."
-    code = 400
-
-
 class DatasetNotInitializedError(BaseHTTPException):
     error_code = "dataset_not_initialized"
     description = "The dataset is still being initialized or indexing. Please wait a moment."

api/controllers/service_api/index.py

@@ -9,7 +9,7 @@ class IndexApi(Resource):
         return {
             "welcome": "Dify OpenAPI",
             "api_version": "v1",
-            "server_version": dify_config.CURRENT_VERSION,
+            "server_version": dify_config.project.version,
         }
 
 

api/controllers/service_api/wraps.py

@@ -11,13 +11,13 @@ from flask_restful import Resource
 from pydantic import BaseModel
 from sqlalchemy import select, update
 from sqlalchemy.orm import Session
-from werkzeug.exceptions import Forbidden, Unauthorized
+from werkzeug.exceptions import Forbidden, NotFound, Unauthorized
 
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
 from libs.login import _get_user
 from models.account import Account, Tenant, TenantAccountJoin, TenantStatus
-from models.dataset import RateLimitLog
+from models.dataset import Dataset, RateLimitLog
 from models.model import ApiToken, App, EndUser
 from services.feature_service import FeatureService
 
@@ -317,3 +317,11 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
 
 class DatasetApiResource(Resource):
     method_decorators = [validate_dataset_token]
+
+    def get_dataset(self, dataset_id: str, tenant_id: str) -> Dataset:
+        dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id, Dataset.tenant_id == tenant_id).first()
+
+        if not dataset:
+            raise NotFound("Dataset not found.")
+
+        return dataset

api/controllers/web/audio.py

@@ -19,7 +19,7 @@ from controllers.web.error import (
 from controllers.web.wraps import WebApiResource
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from models.model import App, AppMode
+from models.model import App
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -77,21 +77,9 @@ class TextApi(WebApiResource):
 
             message_id = args.get("message_id", None)
             text = args.get("text", None)
-            if (
-                app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}
-                and app_model.workflow
-                and app_model.workflow.features_dict
-            ):
-                text_to_speech = app_model.workflow.features_dict.get("text_to_speech", {})
-                voice = args.get("voice") or text_to_speech.get("voice")
-            else:
-                try:
-                    voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
-                except Exception:
-                    voice = None
-
+            voice = args.get("voice", None)
             response = AudioService.transcript_tts(
-                app_model=app_model, message_id=message_id, end_user=end_user.external_user_id, voice=voice, text=text
+                app_model=app_model, text=text, voice=voice, end_user=end_user.external_user_id, message_id=message_id
             )
 
             return response

api/core/agent/base_agent_runner.py

@@ -3,6 +3,8 @@ import logging
 import uuid
 from typing import Optional, Union, cast
 
+from sqlalchemy import select
+
 from core.agent.entities import AgentEntity, AgentToolEntity
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
 from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfig
@@ -161,10 +163,14 @@ class BaseAgentRunner(AppRunner):
             if parameter.type == ToolParameter.ToolParameterType.SELECT:
                 enum = [option.value for option in parameter.options] if parameter.options else []
 
-            message_tool.parameters["properties"][parameter.name] = {
-                "type": parameter_type,
-                "description": parameter.llm_description or "",
-            }
+            message_tool.parameters["properties"][parameter.name] = (
+                {
+                    "type": parameter_type,
+                    "description": parameter.llm_description or "",
+                }
+                if parameter.input_schema is None
+                else parameter.input_schema
+            )
 
             if len(enum) > 0:
                 message_tool.parameters["properties"][parameter.name]["enum"] = enum
@@ -254,10 +260,14 @@ class BaseAgentRunner(AppRunner):
             if parameter.type == ToolParameter.ToolParameterType.SELECT:
                 enum = [option.value for option in parameter.options] if parameter.options else []
 
-            prompt_tool.parameters["properties"][parameter.name] = {
-                "type": parameter_type,
-                "description": parameter.llm_description or "",
-            }
+            prompt_tool.parameters["properties"][parameter.name] = (
+                {
+                    "type": parameter_type,
+                    "description": parameter.llm_description or "",
+                }
+                if parameter.input_schema is None
+                else parameter.input_schema
+            )
 
             if len(enum) > 0:
                 prompt_tool.parameters["properties"][parameter.name]["enum"] = enum
@@ -409,12 +419,15 @@ class BaseAgentRunner(AppRunner):
             if isinstance(prompt_message, SystemPromptMessage):
                 result.append(prompt_message)
 
-        messages: list[Message] = (
-            db.session.query(Message)
-            .filter(
-                Message.conversation_id == self.message.conversation_id,
+        messages = (
+            (
+                db.session.execute(
+                    select(Message)
+                    .where(Message.conversation_id == self.message.conversation_id)
+                    .order_by(Message.created_at.desc())
+                )
             )
-            .order_by(Message.created_at.desc())
+            .scalars()
             .all()
         )
 

api/core/agent/entities.py

@@ -16,6 +16,7 @@ class AgentToolEntity(BaseModel):
     tool_name: str
     tool_parameters: dict[str, Any] = Field(default_factory=dict)
     plugin_unique_identifier: str | None = None
+    credential_id: str | None = None
 
 
 class AgentPromptEntity(BaseModel):

api/core/agent/plugin_entities.py

@@ -41,6 +41,7 @@ class AgentStrategyParameter(PluginParameter):
         APP_SELECTOR = CommonParameterType.APP_SELECTOR.value
         MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value
         TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value
+        ANY = CommonParameterType.ANY.value
 
         # deprecated, should not use.
         SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value
@@ -85,7 +86,7 @@ class AgentStrategyEntity(BaseModel):
     description: I18nObject = Field(..., description="The description of the agent strategy")
     output_schema: Optional[dict] = None
     features: Optional[list[AgentFeature]] = None
-
+    meta_version: Optional[str] = None
     # pydantic configs
     model_config = ConfigDict(protected_namespaces=())
 

api/core/agent/strategy/base.py

@@ -4,6 +4,7 @@ from typing import Any, Optional
 
 from core.agent.entities import AgentInvokeMessage
 from core.agent.plugin_entities import AgentStrategyParameter
+from core.plugin.entities.request import InvokeCredentials
 
 
 class BaseAgentStrategy(ABC):
@@ -18,11 +19,12 @@ class BaseAgentStrategy(ABC):
         conversation_id: Optional[str] = None,
         app_id: Optional[str] = None,
         message_id: Optional[str] = None,
+        credentials: Optional[InvokeCredentials] = None,
     ) -> Generator[AgentInvokeMessage, None, None]:
         """
         Invoke the agent strategy.
         """
-        yield from self._invoke(params, user_id, conversation_id, app_id, message_id)
+        yield from self._invoke(params, user_id, conversation_id, app_id, message_id, credentials)
 
     def get_parameters(self) -> Sequence[AgentStrategyParameter]:
         """
@@ -38,5 +40,6 @@ class BaseAgentStrategy(ABC):
         conversation_id: Optional[str] = None,
         app_id: Optional[str] = None,
         message_id: Optional[str] = None,
+        credentials: Optional[InvokeCredentials] = None,
     ) -> Generator[AgentInvokeMessage, None, None]:
         pass

api/core/agent/strategy/plugin.py

@@ -4,6 +4,7 @@ from typing import Any, Optional
 from core.agent.entities import AgentInvokeMessage
 from core.agent.plugin_entities import AgentStrategyEntity, AgentStrategyParameter
 from core.agent.strategy.base import BaseAgentStrategy
+from core.plugin.entities.request import InvokeCredentials, PluginInvokeContext
 from core.plugin.impl.agent import PluginAgentClient
 from core.plugin.utils.converter import convert_parameters_to_plugin_format
 
@@ -15,10 +16,12 @@ class PluginAgentStrategy(BaseAgentStrategy):
 
     tenant_id: str
     declaration: AgentStrategyEntity
+    meta_version: str | None = None
 
-    def __init__(self, tenant_id: str, declaration: AgentStrategyEntity):
+    def __init__(self, tenant_id: str, declaration: AgentStrategyEntity, meta_version: str | None):
         self.tenant_id = tenant_id
         self.declaration = declaration
+        self.meta_version = meta_version
 
     def get_parameters(self) -> Sequence[AgentStrategyParameter]:
         return self.declaration.parameters
@@ -38,6 +41,7 @@ class PluginAgentStrategy(BaseAgentStrategy):
         conversation_id: Optional[str] = None,
         app_id: Optional[str] = None,
         message_id: Optional[str] = None,
+        credentials: Optional[InvokeCredentials] = None,
     ) -> Generator[AgentInvokeMessage, None, None]:
         """
         Invoke the agent strategy.
@@ -56,4 +60,5 @@ class PluginAgentStrategy(BaseAgentStrategy):
             conversation_id=conversation_id,
             app_id=app_id,
             message_id=message_id,
+            context=PluginInvokeContext(credentials=credentials or InvokeCredentials()),
         )

api/core/app/app_config/easy_ui_based_app/agent/manager.py

@@ -39,6 +39,7 @@ class AgentConfigManager:
                         "provider_id": tool["provider_id"],
                         "tool_name": tool["tool_name"],
                         "tool_parameters": tool.get("tool_parameters", {}),
+                        "credential_id": tool.get("credential_id", None),
                     }
 
                     agent_tools.append(AgentToolEntity(**agent_tool_properties))

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

@@ -25,8 +25,10 @@ from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotA
 from core.model_runtime.errors.invoke import InvokeAuthorizationError
 from core.ops.ops_trace_manager import TraceQueueManager
 from core.prompt.utils.get_thread_messages_length import get_thread_messages_length
-from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
-from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
+from core.repositories import DifyCoreRepositoryFactory
+from core.workflow.repositories.draft_variable_repository import (
+    DraftVariableSaverFactory,
+)
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
 from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader
@@ -36,8 +38,10 @@ from libs.flask_utils import preserve_flask_contexts
 from models import Account, App, Conversation, EndUser, Message, Workflow, WorkflowNodeExecutionTriggeredFrom
 from models.enums import WorkflowRunTriggeredFrom
 from services.conversation_service import ConversationService
-from services.errors.message import MessageNotExistsError
-from services.workflow_draft_variable_service import DraftVarLoader, WorkflowDraftVariableService
+from services.workflow_draft_variable_service import (
+    DraftVarLoader,
+    WorkflowDraftVariableService,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -178,14 +182,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING
         else:
             workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+        workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
             triggered_from=workflow_triggered_from,
         )
         # Create workflow node execution repository
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+        workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
@@ -255,14 +259,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         # Create session factory
         session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
         # Create workflow execution(aka workflow run) repository
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+        workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
             triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
         )
         # Create workflow node execution repository
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+        workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
@@ -338,14 +342,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         # Create session factory
         session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
         # Create workflow execution(aka workflow run) repository
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+        workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
             triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
         )
         # Create workflow node execution repository
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+        workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
@@ -451,6 +455,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
             stream=stream,
+            draft_var_saver_factory=self._get_draft_var_saver_factory(invoke_from),
         )
 
         return AdvancedChatAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from)
@@ -480,8 +485,6 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
                 # get conversation and message
                 conversation = self._get_conversation(conversation_id)
                 message = self._get_message(message_id)
-                if message is None:
-                    raise MessageNotExistsError("Message not exists")
 
                 # chatbot app
                 runner = AdvancedChatAppRunner(
@@ -524,6 +527,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         user: Union[Account, EndUser],
         workflow_execution_repository: WorkflowExecutionRepository,
         workflow_node_execution_repository: WorkflowNodeExecutionRepository,
+        draft_var_saver_factory: DraftVariableSaverFactory,
         stream: bool = False,
     ) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]:
         """
@@ -550,6 +554,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
             stream=stream,
+            draft_var_saver_factory=draft_var_saver_factory,
         )
 
         try:

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

@@ -16,9 +16,10 @@ from core.app.entities.queue_entities import (
     QueueTextChunkEvent,
 )
 from core.moderation.base import ModerationError
+from core.variables.variables import VariableUnion
 from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
 from core.workflow.entities.variable_pool import VariablePool
-from core.workflow.enums import SystemVariableKey
+from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
@@ -64,7 +65,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
         if not workflow:
             raise ValueError("Workflow not initialized")
 
-        user_id = None
+        user_id: str | None = None
         if self.application_generate_entity.invoke_from in {InvokeFrom.WEB_APP, InvokeFrom.SERVICE_API}:
             end_user = db.session.query(EndUser).filter(EndUser.id == self.application_generate_entity.user_id).first()
             if end_user:
@@ -136,23 +137,25 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
                 session.commit()
 
             # Create a variable pool.
-            system_inputs = {
-                SystemVariableKey.QUERY: query,
-                SystemVariableKey.FILES: files,
-                SystemVariableKey.CONVERSATION_ID: self.conversation.id,
-                SystemVariableKey.USER_ID: user_id,
-                SystemVariableKey.DIALOGUE_COUNT: self._dialogue_count,
-                SystemVariableKey.APP_ID: app_config.app_id,
-                SystemVariableKey.WORKFLOW_ID: app_config.workflow_id,
-                SystemVariableKey.WORKFLOW_EXECUTION_ID: self.application_generate_entity.workflow_run_id,
-            }
+            system_inputs = SystemVariable(
+                query=query,
+                files=files,
+                conversation_id=self.conversation.id,
+                user_id=user_id,
+                dialogue_count=self._dialogue_count,
+                app_id=app_config.app_id,
+                workflow_id=app_config.workflow_id,
+                workflow_execution_id=self.application_generate_entity.workflow_run_id,
+            )
 
             # init variable pool
             variable_pool = VariablePool(
                 system_variables=system_inputs,
                 user_inputs=inputs,
                 environment_variables=workflow.environment_variables,
-                conversation_variables=conversation_variables,
+                # Based on the definition of `VariableUnion`,
+                # `list[Variable]` can be safely used as `list[VariableUnion]` since they are compatible.
+                conversation_variables=cast(list[VariableUnion], conversation_variables),
             )
 
             # init graph

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

@@ -61,11 +61,12 @@ from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
 from core.model_runtime.entities.llm_entities import LLMUsage
 from core.ops.ops_trace_manager import TraceQueueManager
 from core.workflow.entities.workflow_execution import WorkflowExecutionStatus, WorkflowType
-from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.nodes import NodeType
+from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
+from core.workflow.system_variable import SystemVariable
 from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager
 from events.message_event import message_was_created
 from extensions.ext_database import db
@@ -94,6 +95,7 @@ class AdvancedChatAppGenerateTaskPipeline:
         dialogue_count: int,
         workflow_execution_repository: WorkflowExecutionRepository,
         workflow_node_execution_repository: WorkflowNodeExecutionRepository,
+        draft_var_saver_factory: DraftVariableSaverFactory,
     ) -> None:
         self._base_task_pipeline = BasedGenerateTaskPipeline(
             application_generate_entity=application_generate_entity,
@@ -114,16 +116,16 @@ class AdvancedChatAppGenerateTaskPipeline:
 
         self._workflow_cycle_manager = WorkflowCycleManager(
             application_generate_entity=application_generate_entity,
-            workflow_system_variables={
-                SystemVariableKey.QUERY: message.query,
-                SystemVariableKey.FILES: application_generate_entity.files,
-                SystemVariableKey.CONVERSATION_ID: conversation.id,
-                SystemVariableKey.USER_ID: user_session_id,
-                SystemVariableKey.DIALOGUE_COUNT: dialogue_count,
-                SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
-                SystemVariableKey.WORKFLOW_ID: workflow.id,
-                SystemVariableKey.WORKFLOW_EXECUTION_ID: application_generate_entity.workflow_run_id,
-            },
+            workflow_system_variables=SystemVariable(
+                query=message.query,
+                files=application_generate_entity.files,
+                conversation_id=conversation.id,
+                user_id=user_session_id,
+                dialogue_count=dialogue_count,
+                app_id=application_generate_entity.app_config.app_id,
+                workflow_id=workflow.id,
+                workflow_execution_id=application_generate_entity.workflow_run_id,
+            ),
             workflow_info=CycleManagerWorkflowInfo(
                 workflow_id=workflow.id,
                 workflow_type=WorkflowType(workflow.type),
@@ -153,6 +155,7 @@ class AdvancedChatAppGenerateTaskPipeline:
         self._conversation_name_generate_thread: Thread | None = None
         self._recorded_files: list[Mapping[str, Any]] = []
         self._workflow_run_id: str = ""
+        self._draft_var_saver_factory = draft_var_saver_factory
 
     def process(self) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]:
         """
@@ -371,6 +374,7 @@ class AdvancedChatAppGenerateTaskPipeline:
                         workflow_node_execution=workflow_node_execution,
                     )
                     session.commit()
+                self._save_output_for_event(event, workflow_node_execution.id)
 
                 if node_finish_resp:
                     yield node_finish_resp
@@ -390,6 +394,8 @@ class AdvancedChatAppGenerateTaskPipeline:
                     task_id=self._application_generate_entity.task_id,
                     workflow_node_execution=workflow_node_execution,
                 )
+                if isinstance(event, QueueNodeExceptionEvent):
+                    self._save_output_for_event(event, workflow_node_execution.id)
 
                 if node_finish_resp:
                     yield node_finish_resp
@@ -759,3 +765,15 @@ class AdvancedChatAppGenerateTaskPipeline:
         if not message:
             raise ValueError(f"Message not found: {self._message_id}")
         return message
+
+    def _save_output_for_event(self, event: QueueNodeSucceededEvent | QueueNodeExceptionEvent, node_execution_id: str):
+        with Session(db.engine) as session, session.begin():
+            saver = self._draft_var_saver_factory(
+                session=session,
+                app_id=self._application_generate_entity.app_config.app_id,
+                node_id=event.node_id,
+                node_type=event.node_type,
+                node_execution_id=node_execution_id,
+                enclosing_node_id=event.in_loop_id or event.in_iteration_id,
+            )
+            saver.save(event.process_data, event.outputs)

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

@@ -26,7 +26,6 @@ from factories import file_factory
 from libs.flask_utils import preserve_flask_contexts
 from models import Account, App, EndUser
 from services.conversation_service import ConversationService
-from services.errors.message import MessageNotExistsError
 
 logger = logging.getLogger(__name__)
 
@@ -238,8 +237,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
                 # get conversation and message
                 conversation = self._get_conversation(conversation_id)
                 message = self._get_message(message_id)
-                if message is None:
-                    raise MessageNotExistsError("Message not exists")
 
                 # chatbot app
                 runner = AgentChatAppRunner()

api/core/app/apps/base_app_generator.py

@@ -1,10 +1,20 @@
 import json
 from collections.abc import Generator, Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Optional, Union
+from typing import TYPE_CHECKING, Any, Optional, Union, final
+
+from sqlalchemy.orm import Session
 
 from core.app.app_config.entities import VariableEntityType
+from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file import File, FileUploadConfig
+from core.workflow.nodes.enums import NodeType
+from core.workflow.repositories.draft_variable_repository import (
+    DraftVariableSaver,
+    DraftVariableSaverFactory,
+    NoopDraftVariableSaver,
+)
 from factories import file_factory
+from services.workflow_draft_variable_service import DraftVariableSaver as DraftVariableSaverImpl
 
 if TYPE_CHECKING:
     from core.app.app_config.entities import VariableEntity
@@ -159,3 +169,38 @@ class BaseAppGenerator:
                         yield f"event: {message}\n\n"
 
             return gen()
+
+    @final
+    @staticmethod
+    def _get_draft_var_saver_factory(invoke_from: InvokeFrom) -> DraftVariableSaverFactory:
+        if invoke_from == InvokeFrom.DEBUGGER:
+
+            def draft_var_saver_factory(
+                session: Session,
+                app_id: str,
+                node_id: str,
+                node_type: NodeType,
+                node_execution_id: str,
+                enclosing_node_id: str | None = None,
+            ) -> DraftVariableSaver:
+                return DraftVariableSaverImpl(
+                    session=session,
+                    app_id=app_id,
+                    node_id=node_id,
+                    node_type=node_type,
+                    node_execution_id=node_execution_id,
+                    enclosing_node_id=enclosing_node_id,
+                )
+        else:
+
+            def draft_var_saver_factory(
+                session: Session,
+                app_id: str,
+                node_id: str,
+                node_type: NodeType,
+                node_execution_id: str,
+                enclosing_node_id: str | None = None,
+            ) -> DraftVariableSaver:
+                return NoopDraftVariableSaver()
+
+        return draft_var_saver_factory

api/core/app/apps/base_app_runner.py

@@ -38,69 +38,6 @@ _logger = logging.getLogger(__name__)
 
 
 class AppRunner:
-    def get_pre_calculate_rest_tokens(
-        self,
-        app_record: App,
-        model_config: ModelConfigWithCredentialsEntity,
-        prompt_template_entity: PromptTemplateEntity,
-        inputs: Mapping[str, str],
-        files: Sequence["File"],
-        query: Optional[str] = None,
-    ) -> int:
-        """
-        Get pre calculate rest tokens
-        :param app_record: app record
-        :param model_config: model config entity
-        :param prompt_template_entity: prompt template entity
-        :param inputs: inputs
-        :param files: files
-        :param query: query
-        :return:
-        """
-        # Invoke model
-        model_instance = ModelInstance(
-            provider_model_bundle=model_config.provider_model_bundle, model=model_config.model
-        )
-
-        model_context_tokens = model_config.model_schema.model_properties.get(ModelPropertyKey.CONTEXT_SIZE)
-
-        max_tokens = 0
-        for parameter_rule in model_config.model_schema.parameter_rules:
-            if parameter_rule.name == "max_tokens" or (
-                parameter_rule.use_template and parameter_rule.use_template == "max_tokens"
-            ):
-                max_tokens = (
-                    model_config.parameters.get(parameter_rule.name)
-                    or model_config.parameters.get(parameter_rule.use_template or "")
-                ) or 0
-
-        if model_context_tokens is None:
-            return -1
-
-        if max_tokens is None:
-            max_tokens = 0
-
-        # get prompt messages without memory and context
-        prompt_messages, stop = self.organize_prompt_messages(
-            app_record=app_record,
-            model_config=model_config,
-            prompt_template_entity=prompt_template_entity,
-            inputs=inputs,
-            files=files,
-            query=query,
-        )
-
-        prompt_tokens = model_instance.get_llm_num_tokens(prompt_messages)
-
-        rest_tokens: int = model_context_tokens - max_tokens - prompt_tokens
-        if rest_tokens < 0:
-            raise InvokeBadRequestError(
-                "Query or prefix prompt is too long, you can reduce the prefix prompt, "
-                "or shrink the max token, or switch to a llm with a larger token limit size."
-            )
-
-        return rest_tokens
-
     def recalc_llm_max_tokens(
         self, model_config: ModelConfigWithCredentialsEntity, prompt_messages: list[PromptMessage]
     ):

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

@@ -25,7 +25,6 @@ from factories import file_factory
 from models.account import Account
 from models.model import App, EndUser
 from services.conversation_service import ConversationService
-from services.errors.message import MessageNotExistsError
 
 logger = logging.getLogger(__name__)
 
@@ -224,8 +223,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
                 # get conversation and message
                 conversation = self._get_conversation(conversation_id)
                 message = self._get_message(message_id)
-                if message is None:
-                    raise MessageNotExistsError("Message not exists")
 
                 # chatbot app
                 runner = ChatAppRunner()

api/core/app/apps/common/workflow_response_converter.py

@@ -44,6 +44,7 @@ from core.app.entities.task_entities import (
 )
 from core.file import FILE_MODEL_IDENTITY, File
 from core.tools.tool_manager import ToolManager
+from core.variables.segments import ArrayFileSegment, FileSegment, Segment
 from core.workflow.entities.workflow_execution import WorkflowExecution
 from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus
 from core.workflow.nodes import NodeType
@@ -506,7 +507,8 @@ class WorkflowResponseConverter:
         # Convert to tuple to match Sequence type
         return tuple(flattened_files)
 
-    def _fetch_files_from_variable_value(self, value: Union[dict, list]) -> Sequence[Mapping[str, Any]]:
+    @classmethod
+    def _fetch_files_from_variable_value(cls, value: Union[dict, list, Segment]) -> Sequence[Mapping[str, Any]]:
         """
         Fetch files from variable value
         :param value: variable value
@@ -515,20 +517,30 @@ class WorkflowResponseConverter:
         if not value:
             return []
 
-        files = []
-        if isinstance(value, list):
+        files: list[Mapping[str, Any]] = []
+        if isinstance(value, FileSegment):
+            files.append(value.value.to_dict())
+        elif isinstance(value, ArrayFileSegment):
+            files.extend([i.to_dict() for i in value.value])
+        elif isinstance(value, File):
+            files.append(value.to_dict())
+        elif isinstance(value, list):
             for item in value:
-                file = self._get_file_var_from_value(item)
+                file = cls._get_file_var_from_value(item)
                 if file:
                     files.append(file)
-        elif isinstance(value, dict):
-            file = self._get_file_var_from_value(value)
+        elif isinstance(
+            value,
+            dict,
+        ):
+            file = cls._get_file_var_from_value(value)
             if file:
                 files.append(file)
 
         return files
 
-    def _get_file_var_from_value(self, value: Union[dict, list]) -> Mapping[str, Any] | None:
+    @classmethod
+    def _get_file_var_from_value(cls, value: Union[dict, list]) -> Mapping[str, Any] | None:
         """
         Get file var from value
         :param value: variable value

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

@@ -201,8 +201,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
             try:
                 # get message
                 message = self._get_message(message_id)
-                if message is None:
-                    raise MessageNotExistsError()
 
                 # chatbot app
                 runner = CompletionAppRunner()

api/core/app/apps/message_based_app_generator.py

@@ -29,6 +29,7 @@ from models.enums import CreatorUserRole
 from models.model import App, AppMode, AppModelConfig, Conversation, EndUser, Message, MessageFile
 from services.errors.app_model_config import AppModelConfigBrokenError
 from services.errors.conversation import ConversationNotExistsError
+from services.errors.message import MessageNotExistsError
 
 logger = logging.getLogger(__name__)
 
@@ -251,7 +252,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
 
         return introduction or ""
 
-    def _get_conversation(self, conversation_id: str):
+    def _get_conversation(self, conversation_id: str) -> Conversation:
         """
         Get conversation by conversation id
         :param conversation_id: conversation id
@@ -260,11 +261,11 @@ class MessageBasedAppGenerator(BaseAppGenerator):
         conversation = db.session.query(Conversation).filter(Conversation.id == conversation_id).first()
 
         if not conversation:
-            raise ConversationNotExistsError()
+            raise ConversationNotExistsError("Conversation not exists")
 
         return conversation
 
-    def _get_message(self, message_id: str) -> Optional[Message]:
+    def _get_message(self, message_id: str) -> Message:
         """
         Get message by message id
         :param message_id: message id
@@ -272,4 +273,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
         """
         message = db.session.query(Message).filter(Message.id == message_id).first()
 
+        if message is None:
+            raise MessageNotExistsError("Message not exists")
+
         return message

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

@@ -23,8 +23,8 @@ from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerat
 from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
 from core.model_runtime.errors.invoke import InvokeAuthorizationError
 from core.ops.ops_trace_manager import TraceQueueManager
-from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
-from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
+from core.repositories import DifyCoreRepositoryFactory
+from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
 from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader
@@ -155,14 +155,14 @@ class WorkflowAppGenerator(BaseAppGenerator):
             workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING
         else:
             workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+        workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
             triggered_from=workflow_triggered_from,
         )
         # Create workflow node execution repository
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+        workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
@@ -219,6 +219,9 @@ class WorkflowAppGenerator(BaseAppGenerator):
         # new thread with request context and contextvars
         context = contextvars.copy_context()
 
+        # release database connection, because the following new thread operations may take a long time
+        db.session.close()
+
         worker_thread = threading.Thread(
             target=self._generate_worker,
             kwargs={
@@ -233,6 +236,10 @@ class WorkflowAppGenerator(BaseAppGenerator):
 
         worker_thread.start()
 
+        draft_var_saver_factory = self._get_draft_var_saver_factory(
+            invoke_from,
+        )
+
         # return response or stream generator
         response = self._handle_response(
             application_generate_entity=application_generate_entity,
@@ -241,6 +248,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             user=user,
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
+            draft_var_saver_factory=draft_var_saver_factory,
             stream=streaming,
         )
 
@@ -297,16 +305,14 @@ class WorkflowAppGenerator(BaseAppGenerator):
         # Create session factory
         session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
         # Create workflow execution(aka workflow run) repository
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+        workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
             triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
         )
         # Create workflow node execution repository
-        session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
-
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+        workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
@@ -381,16 +387,14 @@ class WorkflowAppGenerator(BaseAppGenerator):
         # Create session factory
         session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
         # Create workflow execution(aka workflow run) repository
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+        workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
             triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
         )
         # Create workflow node execution repository
-        session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
-
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+        workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
             session_factory=session_factory,
             user=user,
             app_id=application_generate_entity.app_config.app_id,
@@ -471,6 +475,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         user: Union[Account, EndUser],
         workflow_execution_repository: WorkflowExecutionRepository,
         workflow_node_execution_repository: WorkflowNodeExecutionRepository,
+        draft_var_saver_factory: DraftVariableSaverFactory,
         stream: bool = False,
     ) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
         """
@@ -491,6 +496,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             user=user,
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
+            draft_var_saver_factory=draft_var_saver_factory,
             stream=stream,
         )
 

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

@@ -11,7 +11,7 @@ from core.app.entities.app_invoke_entities import (
 )
 from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
 from core.workflow.entities.variable_pool import VariablePool
-from core.workflow.enums import SystemVariableKey
+from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
@@ -95,13 +95,14 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
             files = self.application_generate_entity.files
 
             # Create a variable pool.
-            system_inputs = {
-                SystemVariableKey.FILES: files,
-                SystemVariableKey.USER_ID: user_id,
-                SystemVariableKey.APP_ID: app_config.app_id,
-                SystemVariableKey.WORKFLOW_ID: app_config.workflow_id,
-                SystemVariableKey.WORKFLOW_EXECUTION_ID: self.application_generate_entity.workflow_execution_id,
-            }
+
+            system_inputs = SystemVariable(
+                files=files,
+                user_id=user_id,
+                app_id=app_config.app_id,
+                workflow_id=app_config.workflow_id,
+                workflow_execution_id=self.application_generate_entity.workflow_execution_id,
+            )
 
             variable_pool = VariablePool(
                 system_variables=system_inputs,

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

@@ -3,7 +3,6 @@ import time
 from collections.abc import Generator
 from typing import Optional, Union
 
-from sqlalchemy import select
 from sqlalchemy.orm import Session
 
 from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
@@ -55,9 +54,10 @@ from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTas
 from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
 from core.ops.ops_trace_manager import TraceQueueManager
 from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType
-from core.workflow.enums import SystemVariableKey
+from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
+from core.workflow.system_variable import SystemVariable
 from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager
 from extensions.ext_database import db
 from models.account import Account
@@ -67,7 +67,6 @@ from models.workflow import (
     Workflow,
     WorkflowAppLog,
     WorkflowAppLogCreatedFrom,
-    WorkflowRun,
 )
 
 logger = logging.getLogger(__name__)
@@ -87,6 +86,7 @@ class WorkflowAppGenerateTaskPipeline:
         stream: bool,
         workflow_execution_repository: WorkflowExecutionRepository,
         workflow_node_execution_repository: WorkflowNodeExecutionRepository,
+        draft_var_saver_factory: DraftVariableSaverFactory,
     ) -> None:
         self._base_task_pipeline = BasedGenerateTaskPipeline(
             application_generate_entity=application_generate_entity,
@@ -107,13 +107,13 @@ class WorkflowAppGenerateTaskPipeline:
 
         self._workflow_cycle_manager = WorkflowCycleManager(
             application_generate_entity=application_generate_entity,
-            workflow_system_variables={
-                SystemVariableKey.FILES: application_generate_entity.files,
-                SystemVariableKey.USER_ID: user_session_id,
-                SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
-                SystemVariableKey.WORKFLOW_ID: workflow.id,
-                SystemVariableKey.WORKFLOW_EXECUTION_ID: application_generate_entity.workflow_execution_id,
-            },
+            workflow_system_variables=SystemVariable(
+                files=application_generate_entity.files,
+                user_id=user_session_id,
+                app_id=application_generate_entity.app_config.app_id,
+                workflow_id=workflow.id,
+                workflow_execution_id=application_generate_entity.workflow_execution_id,
+            ),
             workflow_info=CycleManagerWorkflowInfo(
                 workflow_id=workflow.id,
                 workflow_type=WorkflowType(workflow.type),
@@ -131,6 +131,8 @@ class WorkflowAppGenerateTaskPipeline:
         self._application_generate_entity = application_generate_entity
         self._workflow_features_dict = workflow.features_dict
         self._workflow_run_id = ""
+        self._invoke_from = queue_manager._invoke_from
+        self._draft_var_saver_factory = draft_var_saver_factory
 
     def process(self) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
         """
@@ -322,6 +324,8 @@ class WorkflowAppGenerateTaskPipeline:
                     workflow_node_execution=workflow_node_execution,
                 )
 
+                self._save_output_for_event(event, workflow_node_execution.id)
+
                 if node_success_response:
                     yield node_success_response
             elif isinstance(
@@ -339,6 +343,8 @@ class WorkflowAppGenerateTaskPipeline:
                     task_id=self._application_generate_entity.task_id,
                     workflow_node_execution=workflow_node_execution,
                 )
+                if isinstance(event, QueueNodeExceptionEvent):
+                    self._save_output_for_event(event, workflow_node_execution.id)
 
                 if node_failed_response:
                     yield node_failed_response
@@ -554,8 +560,6 @@ class WorkflowAppGenerateTaskPipeline:
             tts_publisher.publish(None)
 
     def _save_workflow_app_log(self, *, session: Session, workflow_execution: WorkflowExecution) -> None:
-        workflow_run = session.scalar(select(WorkflowRun).where(WorkflowRun.id == workflow_execution.id_))
-        assert workflow_run is not None
         invoke_from = self._application_generate_entity.invoke_from
         if invoke_from == InvokeFrom.SERVICE_API:
             created_from = WorkflowAppLogCreatedFrom.SERVICE_API
@@ -568,10 +572,10 @@ class WorkflowAppGenerateTaskPipeline:
             return
 
         workflow_app_log = WorkflowAppLog()
-        workflow_app_log.tenant_id = workflow_run.tenant_id
-        workflow_app_log.app_id = workflow_run.app_id
-        workflow_app_log.workflow_id = workflow_run.workflow_id
-        workflow_app_log.workflow_run_id = workflow_run.id
+        workflow_app_log.tenant_id = self._application_generate_entity.app_config.tenant_id
+        workflow_app_log.app_id = self._application_generate_entity.app_config.app_id
+        workflow_app_log.workflow_id = workflow_execution.workflow_id
+        workflow_app_log.workflow_run_id = workflow_execution.id_
         workflow_app_log.created_from = created_from.value
         workflow_app_log.created_by_role = self._created_by_role
         workflow_app_log.created_by = self._user_id
@@ -593,3 +597,15 @@ class WorkflowAppGenerateTaskPipeline:
         )
 
         return response
+
+    def _save_output_for_event(self, event: QueueNodeSucceededEvent | QueueNodeExceptionEvent, node_execution_id: str):
+        with Session(db.engine) as session, session.begin():
+            saver = self._draft_var_saver_factory(
+                session=session,
+                app_id=self._application_generate_entity.app_config.app_id,
+                node_id=event.node_id,
+                node_type=event.node_type,
+                node_execution_id=node_execution_id,
+                enclosing_node_id=event.in_loop_id or event.in_iteration_id,
+            )
+            saver.save(event.process_data, event.outputs)

api/core/app/apps/workflow_app_runner.py

@@ -1,8 +1,6 @@
 from collections.abc import Mapping
 from typing import Any, Optional, cast
 
-from sqlalchemy.orm import Session
-
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.apps.base_app_runner import AppRunner
 from core.app.entities.queue_entities import (
@@ -35,7 +33,6 @@ from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
 from core.workflow.graph_engine.entities.event import (
     AgentLogEvent,
-    BaseNodeEvent,
     GraphEngineEvent,
     GraphRunFailedEvent,
     GraphRunPartialSucceededEvent,
@@ -65,14 +62,12 @@ from core.workflow.graph_engine.entities.event import (
 from core.workflow.graph_engine.entities.graph import Graph
 from core.workflow.nodes import NodeType
 from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
+from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
 from models.model import App
 from models.workflow import Workflow
-from services.workflow_draft_variable_service import (
-    DraftVariableSaver,
-)
 
 
 class WorkflowBasedAppRunner(AppRunner):
@@ -172,7 +167,7 @@ class WorkflowBasedAppRunner(AppRunner):
 
         # init variable pool
         variable_pool = VariablePool(
-            system_variables={},
+            system_variables=SystemVariable.empty(),
             user_inputs={},
             environment_variables=workflow.environment_variables,
         )
@@ -269,7 +264,7 @@ class WorkflowBasedAppRunner(AppRunner):
 
         # init variable pool
         variable_pool = VariablePool(
-            system_variables={},
+            system_variables=SystemVariable.empty(),
             user_inputs={},
             environment_variables=workflow.environment_variables,
         )
@@ -400,7 +395,6 @@ class WorkflowBasedAppRunner(AppRunner):
                     in_loop_id=event.in_loop_id,
                 )
             )
-            self._save_draft_var_for_event(event)
 
         elif isinstance(event, NodeRunFailedEvent):
             self._publish_event(
@@ -464,7 +458,6 @@ class WorkflowBasedAppRunner(AppRunner):
                     in_loop_id=event.in_loop_id,
                 )
             )
-            self._save_draft_var_for_event(event)
 
         elif isinstance(event, NodeInIterationFailedEvent):
             self._publish_event(
@@ -718,30 +711,3 @@ class WorkflowBasedAppRunner(AppRunner):
 
     def _publish_event(self, event: AppQueueEvent) -> None:
         self.queue_manager.publish(event, PublishFrom.APPLICATION_MANAGER)
-
-    def _save_draft_var_for_event(self, event: BaseNodeEvent):
-        run_result = event.route_node_state.node_run_result
-        if run_result is None:
-            return
-        process_data = run_result.process_data
-        outputs = run_result.outputs
-        with Session(bind=db.engine) as session, session.begin():
-            draft_var_saver = DraftVariableSaver(
-                session=session,
-                app_id=self._get_app_id(),
-                node_id=event.node_id,
-                node_type=event.node_type,
-                # FIXME(QuantumGhost): rely on private state of queue_manager is not ideal.
-                invoke_from=self.queue_manager._invoke_from,
-                node_execution_id=event.id,
-                enclosing_node_id=event.in_loop_id or event.in_iteration_id or None,
-            )
-            draft_var_saver.save(process_data=process_data, outputs=outputs)
-
-
-def _remove_first_element_from_variable_string(key: str) -> str:
-    """
-    Remove the first element from the prefix.
-    """
-    prefix, remaining = key.split(".", maxsplit=1)
-    return remaining

api/core/app/task_pipeline/based_generate_task_pipeline.py

@@ -19,6 +19,7 @@ from core.app.entities.task_entities import (
 from core.errors.error import QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
 from core.moderation.output_moderation import ModerationRule, OutputModeration
+from models.enums import MessageStatus
 from models.model import Message
 
 logger = logging.getLogger(__name__)
@@ -62,7 +63,7 @@ class BasedGenerateTaskPipeline:
             return err
 
         err_desc = self._error_to_desc(err)
-        message.status = "error"
+        message.status = MessageStatus.ERROR
         message.error = err_desc
         return err
 

api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py

@@ -395,6 +395,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
         message.provider_response_latency = time.perf_counter() - self._start_at
         message.total_price = usage.total_price
         message.currency = usage.currency
+        self._task_state.llm_result.usage.latency = message.provider_response_latency
         message.message_metadata = self._task_state.metadata.model_dump_json()
 
         if trace_manager:

api/core/app/task_pipeline/exc.py

@@ -10,8 +10,3 @@ class RecordNotFoundError(TaskPipilineError):
 class WorkflowRunNotFoundError(RecordNotFoundError):
     def __init__(self, workflow_run_id: str):
         super().__init__("WorkflowRun", workflow_run_id)
-
-
-class WorkflowNodeExecutionNotFoundError(RecordNotFoundError):
-    def __init__(self, workflow_node_execution_id: str):
-        super().__init__("WorkflowNodeExecution", workflow_node_execution_id)

api/core/entities/parameter_entities.py

@@ -14,8 +14,17 @@ class CommonParameterType(StrEnum):
     APP_SELECTOR = "app-selector"
     MODEL_SELECTOR = "model-selector"
     TOOLS_SELECTOR = "array[tools]"
+    ANY = "any"
+
+    # Dynamic select parameter
+    # Once you are not sure about the available options until authorization is done
+    # eg: Select a Slack channel from a Slack workspace
+    DYNAMIC_SELECT = "dynamic-select"
 
     # TOOL_SELECTOR = "tool-selector"
+    # MCP object and array type parameters
+    ARRAY = "array"
+    OBJECT = "object"
 
 
 class AppSelectorScope(StrEnum):

api/core/file/helpers.py

@@ -21,7 +21,9 @@ def get_signed_file_url(upload_file_id: str) -> str:
 
 
 def get_signed_file_url_for_plugin(filename: str, mimetype: str, tenant_id: str, user_id: str) -> str:
-    url = f"{dify_config.FILES_URL}/files/upload/for-plugin"
+    # Plugin access should use internal URL for Docker network communication
+    base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
+    url = f"{base_url}/files/upload/for-plugin"
 
     if user_id is None:
         user_id = "DEFAULT-USER"

api/core/file/models.py

@@ -51,7 +51,7 @@ class File(BaseModel):
     # It should be set to `ToolFile.id` when `transfer_method` is `tool_file`.
     related_id: Optional[str] = None
     filename: Optional[str] = None
-    extension: Optional[str] = Field(default=None, description="File extension, should contains dot")
+    extension: Optional[str] = Field(default=None, description="File extension, should contain dot")
     mime_type: Optional[str] = None
     size: int = -1
 

api/core/file/tool_file_parser.py

@@ -7,13 +7,6 @@ if TYPE_CHECKING:
 _tool_file_manager_factory: Callable[[], "ToolFileManager"] | None = None
 
 
-class ToolFileParser:
-    @staticmethod
-    def get_tool_file_manager() -> "ToolFileManager":
-        assert _tool_file_manager_factory is not None
-        return _tool_file_manager_factory()
-
-
 def set_tool_file_manager_factory(factory: Callable[[], "ToolFileManager"]) -> None:
     global _tool_file_manager_factory
     _tool_file_manager_factory = factory

api/core/file/upload_file_parser.py

@@ -1,67 +0,0 @@
-import base64
-import logging
-import time
-from typing import Optional
-
-from configs import dify_config
-from constants import IMAGE_EXTENSIONS
-from core.helper.url_signer import UrlSigner
-from extensions.ext_storage import storage
-
-
-class UploadFileParser:
-    @classmethod
-    def get_image_data(cls, upload_file, force_url: bool = False) -> Optional[str]:
-        if not upload_file:
-            return None
-
-        if upload_file.extension not in IMAGE_EXTENSIONS:
-            return None
-
-        if dify_config.MULTIMODAL_SEND_FORMAT == "url" or force_url:
-            return cls.get_signed_temp_image_url(upload_file.id)
-        else:
-            # get image file base64
-            try:
-                data = storage.load(upload_file.key)
-            except FileNotFoundError:
-                logging.exception(f"File not found: {upload_file.key}")
-                return None
-
-            encoded_string = base64.b64encode(data).decode("utf-8")
-            return f"data:{upload_file.mime_type};base64,{encoded_string}"
-
-    @classmethod
-    def get_signed_temp_image_url(cls, upload_file_id) -> str:
-        """
-        get signed url from upload file
-
-        :param upload_file_id: the id of UploadFile object
-        :return:
-        """
-        base_url = dify_config.FILES_URL
-        image_preview_url = f"{base_url}/files/{upload_file_id}/image-preview"
-
-        return UrlSigner.get_signed_url(url=image_preview_url, sign_key=upload_file_id, prefix="image-preview")
-
-    @classmethod
-    def verify_image_file_signature(cls, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
-        """
-        verify signature
-
-        :param upload_file_id: file id
-        :param timestamp: timestamp
-        :param nonce: nonce
-        :param sign: signature
-        :return:
-        """
-        result = UrlSigner.verify(
-            sign_key=upload_file_id, timestamp=timestamp, nonce=nonce, sign=sign, prefix="image-preview"
-        )
-
-        # verify signature
-        if not result:
-            return False
-
-        current_time = int(time.time())
-        return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT

api/core/helper/code_executor/template_transformer.py

@@ -5,6 +5,8 @@ from base64 import b64encode
 from collections.abc import Mapping
 from typing import Any
 
+from core.variables.utils import SegmentJSONEncoder
+
 
 class TemplateTransformer(ABC):
     _code_placeholder: str = "{{code}}"
@@ -28,7 +30,7 @@ class TemplateTransformer(ABC):
     def extract_result_str_from_response(cls, response: str):
         result = re.search(rf"{cls._result_tag}(.*){cls._result_tag}", response, re.DOTALL)
         if not result:
-            raise ValueError("Failed to parse result")
+            raise ValueError(f"Failed to parse result: no result tag found in response. Response: {response[:200]}...")
         return result.group(1)
 
     @classmethod
@@ -38,16 +40,49 @@ class TemplateTransformer(ABC):
         :param response: response
         :return:
         """
+
         try:
-            result = json.loads(cls.extract_result_str_from_response(response))
-        except json.JSONDecodeError:
-            raise ValueError("failed to parse response")
+            result_str = cls.extract_result_str_from_response(response)
+            result = json.loads(result_str)
+        except json.JSONDecodeError as e:
+            raise ValueError(f"Failed to parse JSON response: {str(e)}.")
+        except ValueError as e:
+            # Re-raise ValueError from extract_result_str_from_response
+            raise e
+        except Exception as e:
+            raise ValueError(f"Unexpected error during response transformation: {str(e)}")
+
         if not isinstance(result, dict):
-            raise ValueError("result must be a dict")
+            raise ValueError(f"Result must be a dict, got {type(result).__name__}")
         if not all(isinstance(k, str) for k in result):
-            raise ValueError("result keys must be strings")
+            raise ValueError("Result keys must be strings")
+
+        # Post-process the result to convert scientific notation strings back to numbers
+        result = cls._post_process_result(result)
         return result
 
+    @classmethod
+    def _post_process_result(cls, result: dict[Any, Any]) -> dict[Any, Any]:
+        """
+        Post-process the result to convert scientific notation strings back to numbers
+        """
+
+        def convert_scientific_notation(value):
+            if isinstance(value, str):
+                # Check if the string looks like scientific notation
+                if re.match(r"^-?\d+\.?\d*e[+-]\d+$", value, re.IGNORECASE):
+                    try:
+                        return float(value)
+                    except ValueError:
+                        pass
+            elif isinstance(value, dict):
+                return {k: convert_scientific_notation(v) for k, v in value.items()}
+            elif isinstance(value, list):
+                return [convert_scientific_notation(v) for v in value]
+            return value
+
+        return convert_scientific_notation(result)  # type: ignore[no-any-return]
+
     @classmethod
     @abstractmethod
     def get_runner_script(cls) -> str:
@@ -58,7 +93,7 @@ class TemplateTransformer(ABC):
 
     @classmethod
     def serialize_inputs(cls, inputs: Mapping[str, Any]) -> str:
-        inputs_json_str = json.dumps(inputs, ensure_ascii=False).encode()
+        inputs_json_str = json.dumps(inputs, ensure_ascii=False, cls=SegmentJSONEncoder).encode()
         input_base64_encoded = b64encode(inputs_json_str).decode("utf-8")
         return input_base64_encoded
 

api/core/helper/lru_cache.py

@@ -1,22 +0,0 @@
-from collections import OrderedDict
-from typing import Any
-
-
-class LRUCache:
-    def __init__(self, capacity: int):
-        self.cache: OrderedDict[Any, Any] = OrderedDict()
-        self.capacity = capacity
-
-    def get(self, key: Any) -> Any:
-        if key not in self.cache:
-            return None
-        else:
-            self.cache.move_to_end(key)  # move the key to the end of the OrderedDict
-            return self.cache[key]
-
-    def put(self, key: Any, value: Any) -> None:
-        if key in self.cache:
-            self.cache.move_to_end(key)
-        self.cache[key] = value
-        if len(self.cache) > self.capacity:
-            self.cache.popitem(last=False)  # pop the first item

api/core/helper/provider_cache.py

@@ -0,0 +1,84 @@
+import json
+from abc import ABC, abstractmethod
+from json import JSONDecodeError
+from typing import Any, Optional
+
+from extensions.ext_redis import redis_client
+
+
+class ProviderCredentialsCache(ABC):
+    """Base class for provider credentials cache"""
+
+    def __init__(self, **kwargs):
+        self.cache_key = self._generate_cache_key(**kwargs)
+
+    @abstractmethod
+    def _generate_cache_key(self, **kwargs) -> str:
+        """Generate cache key based on subclass implementation"""
+        pass
+
+    def get(self) -> Optional[dict]:
+        """Get cached provider credentials"""
+        cached_credentials = redis_client.get(self.cache_key)
+        if cached_credentials:
+            try:
+                cached_credentials = cached_credentials.decode("utf-8")
+                return dict(json.loads(cached_credentials))
+            except JSONDecodeError:
+                return None
+        return None
+
+    def set(self, config: dict[str, Any]) -> None:
+        """Cache provider credentials"""
+        redis_client.setex(self.cache_key, 86400, json.dumps(config))
+
+    def delete(self) -> None:
+        """Delete cached provider credentials"""
+        redis_client.delete(self.cache_key)
+
+
+class SingletonProviderCredentialsCache(ProviderCredentialsCache):
+    """Cache for tool single provider credentials"""
+
+    def __init__(self, tenant_id: str, provider_type: str, provider_identity: str):
+        super().__init__(
+            tenant_id=tenant_id,
+            provider_type=provider_type,
+            provider_identity=provider_identity,
+        )
+
+    def _generate_cache_key(self, **kwargs) -> str:
+        tenant_id = kwargs["tenant_id"]
+        provider_type = kwargs["provider_type"]
+        identity_name = kwargs["provider_identity"]
+        identity_id = f"{provider_type}.{identity_name}"
+        return f"{provider_type}_credentials:tenant_id:{tenant_id}:id:{identity_id}"
+
+
+class ToolProviderCredentialsCache(ProviderCredentialsCache):
+    """Cache for tool provider credentials"""
+
+    def __init__(self, tenant_id: str, provider: str, credential_id: str):
+        super().__init__(tenant_id=tenant_id, provider=provider, credential_id=credential_id)
+
+    def _generate_cache_key(self, **kwargs) -> str:
+        tenant_id = kwargs["tenant_id"]
+        provider = kwargs["provider"]
+        credential_id = kwargs["credential_id"]
+        return f"tool_credentials:tenant_id:{tenant_id}:provider:{provider}:credential_id:{credential_id}"
+
+
+class NoOpProviderCredentialCache:
+    """No-op provider credential cache"""
+
+    def get(self) -> Optional[dict]:
+        """Get cached provider credentials"""
+        return None
+
+    def set(self, config: dict[str, Any]) -> None:
+        """Cache provider credentials"""
+        pass
+
+    def delete(self) -> None:
+        """Delete cached provider credentials"""
+        pass

api/core/helper/tool_provider_cache.py

@@ -1,51 +0,0 @@
-import json
-from enum import Enum
-from json import JSONDecodeError
-from typing import Optional
-
-from extensions.ext_redis import redis_client
-
-
-class ToolProviderCredentialsCacheType(Enum):
-    PROVIDER = "tool_provider"
-    ENDPOINT = "endpoint"
-
-
-class ToolProviderCredentialsCache:
-    def __init__(self, tenant_id: str, identity_id: str, cache_type: ToolProviderCredentialsCacheType):
-        self.cache_key = f"{cache_type.value}_credentials:tenant_id:{tenant_id}:id:{identity_id}"
-
-    def get(self) -> Optional[dict]:
-        """
-        Get cached model provider credentials.
-
-        :return:
-        """
-        cached_provider_credentials = redis_client.get(self.cache_key)
-        if cached_provider_credentials:
-            try:
-                cached_provider_credentials = cached_provider_credentials.decode("utf-8")
-                cached_provider_credentials = json.loads(cached_provider_credentials)
-            except JSONDecodeError:
-                return None
-
-            return dict(cached_provider_credentials)
-        else:
-            return None
-
-    def set(self, credentials: dict) -> None:
-        """
-        Cache model provider credentials.
-
-        :param credentials: provider credentials
-        :return:
-        """
-        redis_client.setex(self.cache_key, 86400, json.dumps(credentials))
-
-    def delete(self) -> None:
-        """
-        Delete cached model provider credentials.
-
-        :return:
-        """
-        redis_client.delete(self.cache_key)

api/core/helper/url_signer.py

@@ -1,52 +0,0 @@
-import base64
-import hashlib
-import hmac
-import os
-import time
-
-from pydantic import BaseModel, Field
-
-from configs import dify_config
-
-
-class SignedUrlParams(BaseModel):
-    sign_key: str = Field(..., description="The sign key")
-    timestamp: str = Field(..., description="Timestamp")
-    nonce: str = Field(..., description="Nonce")
-    sign: str = Field(..., description="Signature")
-
-
-class UrlSigner:
-    @classmethod
-    def get_signed_url(cls, url: str, sign_key: str, prefix: str) -> str:
-        signed_url_params = cls.get_signed_url_params(sign_key, prefix)
-        return (
-            f"{url}?timestamp={signed_url_params.timestamp}"
-            f"&nonce={signed_url_params.nonce}&sign={signed_url_params.sign}"
-        )
-
-    @classmethod
-    def get_signed_url_params(cls, sign_key: str, prefix: str) -> SignedUrlParams:
-        timestamp = str(int(time.time()))
-        nonce = os.urandom(16).hex()
-        sign = cls._sign(sign_key, timestamp, nonce, prefix)
-
-        return SignedUrlParams(sign_key=sign_key, timestamp=timestamp, nonce=nonce, sign=sign)
-
-    @classmethod
-    def verify(cls, sign_key: str, timestamp: str, nonce: str, sign: str, prefix: str) -> bool:
-        recalculated_sign = cls._sign(sign_key, timestamp, nonce, prefix)
-
-        return sign == recalculated_sign
-
-    @classmethod
-    def _sign(cls, sign_key: str, timestamp: str, nonce: str, prefix: str) -> str:
-        if not dify_config.SECRET_KEY:
-            raise Exception("SECRET_KEY is not set")
-
-        data_to_sign = f"{prefix}|{sign_key}|{timestamp}|{nonce}"
-        secret_key = dify_config.SECRET_KEY.encode()
-        sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
-        encoded_sign = base64.urlsafe_b64encode(sign).decode()
-
-        return encoded_sign

api/core/indexing_runner.py

@@ -317,9 +317,10 @@ class IndexingRunner:
                 image_upload_file_ids = get_image_upload_file_ids(document.page_content)
                 for upload_file_id in image_upload_file_ids:
                     image_file = db.session.query(UploadFile).filter(UploadFile.id == upload_file_id).first()
+                    if image_file is None:
+                        continue
                     try:
-                        if image_file:
-                            storage.delete(image_file.key)
+                        storage.delete(image_file.key)
                     except Exception:
                         logging.exception(
                             "Delete image_files failed while indexing_estimate, \
@@ -534,7 +535,7 @@ class IndexingRunner:
         # chunk nodes by chunk size
         indexing_start_at = time.perf_counter()
         tokens = 0
-        if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
+        if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX and dataset.indexing_technique == "economy":
             # create keyword index
             create_keyword_thread = threading.Thread(
                 target=self._process_keyword_index,
@@ -572,7 +573,7 @@ class IndexingRunner:
 
                 for future in futures:
                     tokens += future.result()
-        if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
+        if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX and dataset.indexing_technique == "economy":
             create_keyword_thread.join()
         indexing_end_at = time.perf_counter()
 

api/core/llm_generator/llm_generator.py

@@ -148,9 +148,11 @@ class LLMGenerator:
 
             model_manager = ModelManager()
 
-            model_instance = model_manager.get_default_model_instance(
+            model_instance = model_manager.get_model_instance(
                 tenant_id=tenant_id,
                 model_type=ModelType.LLM,
+                provider=model_config.get("provider", ""),
+                model=model_config.get("name", ""),
             )
 
             try:

api/core/llm_generator/output_parser/structured_output.py

@@ -0,0 +1,380 @@
+import json
+from collections.abc import Generator, Mapping, Sequence
+from copy import deepcopy
+from enum import StrEnum
+from typing import Any, Literal, Optional, cast, overload
+
+import json_repair
+from pydantic import TypeAdapter, ValidationError
+
+from core.llm_generator.output_parser.errors import OutputParserError
+from core.llm_generator.prompts import STRUCTURED_OUTPUT_PROMPT
+from core.model_manager import ModelInstance
+from core.model_runtime.callbacks.base_callback import Callback
+from core.model_runtime.entities.llm_entities import (
+    LLMResult,
+    LLMResultChunk,
+    LLMResultChunkDelta,
+    LLMResultChunkWithStructuredOutput,
+    LLMResultWithStructuredOutput,
+)
+from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
+    PromptMessage,
+    PromptMessageTool,
+    SystemPromptMessage,
+    TextPromptMessageContent,
+)
+from core.model_runtime.entities.model_entities import AIModelEntity, ParameterRule
+
+
+class ResponseFormat(StrEnum):
+    """Constants for model response formats"""
+
+    JSON_SCHEMA = "json_schema"  # model's structured output mode. some model like gemini, gpt-4o,  support this mode.
+    JSON = "JSON"  # model's json mode. some model like claude support this mode.
+    JSON_OBJECT = "json_object"  # json mode's another alias. some model like deepseek-chat, qwen use this alias.
+
+
+class SpecialModelType(StrEnum):
+    """Constants for identifying model types"""
+
+    GEMINI = "gemini"
+    OLLAMA = "ollama"
+
+
+@overload
+def invoke_llm_with_structured_output(
+    provider: str,
+    model_schema: AIModelEntity,
+    model_instance: ModelInstance,
+    prompt_messages: Sequence[PromptMessage],
+    json_schema: Mapping[str, Any],
+    model_parameters: Optional[Mapping] = None,
+    tools: Sequence[PromptMessageTool] | None = None,
+    stop: Optional[list[str]] = None,
+    stream: Literal[True] = True,
+    user: Optional[str] = None,
+    callbacks: Optional[list[Callback]] = None,
+) -> Generator[LLMResultChunkWithStructuredOutput, None, None]: ...
+
+
+@overload
+def invoke_llm_with_structured_output(
+    provider: str,
+    model_schema: AIModelEntity,
+    model_instance: ModelInstance,
+    prompt_messages: Sequence[PromptMessage],
+    json_schema: Mapping[str, Any],
+    model_parameters: Optional[Mapping] = None,
+    tools: Sequence[PromptMessageTool] | None = None,
+    stop: Optional[list[str]] = None,
+    stream: Literal[False] = False,
+    user: Optional[str] = None,
+    callbacks: Optional[list[Callback]] = None,
+) -> LLMResultWithStructuredOutput: ...
+
+
+@overload
+def invoke_llm_with_structured_output(
+    provider: str,
+    model_schema: AIModelEntity,
+    model_instance: ModelInstance,
+    prompt_messages: Sequence[PromptMessage],
+    json_schema: Mapping[str, Any],
+    model_parameters: Optional[Mapping] = None,
+    tools: Sequence[PromptMessageTool] | None = None,
+    stop: Optional[list[str]] = None,
+    stream: bool = True,
+    user: Optional[str] = None,
+    callbacks: Optional[list[Callback]] = None,
+) -> LLMResultWithStructuredOutput | Generator[LLMResultChunkWithStructuredOutput, None, None]: ...
+
+
+def invoke_llm_with_structured_output(
+    provider: str,
+    model_schema: AIModelEntity,
+    model_instance: ModelInstance,
+    prompt_messages: Sequence[PromptMessage],
+    json_schema: Mapping[str, Any],
+    model_parameters: Optional[Mapping] = None,
+    tools: Sequence[PromptMessageTool] | None = None,
+    stop: Optional[list[str]] = None,
+    stream: bool = True,
+    user: Optional[str] = None,
+    callbacks: Optional[list[Callback]] = None,
+) -> LLMResultWithStructuredOutput | Generator[LLMResultChunkWithStructuredOutput, None, None]:
+    """
+    Invoke large language model with structured output
+    1. This method invokes model_instance.invoke_llm with json_schema
+    2. Try to parse the result as structured output
+
+    :param prompt_messages: prompt messages
+    :param json_schema: json schema
+    :param model_parameters: model parameters
+    :param tools: tools for tool calling
+    :param stop: stop words
+    :param stream: is stream response
+    :param user: unique user id
+    :param callbacks: callbacks
+    :return: full response or stream response chunk generator result
+    """
+
+    # handle native json schema
+    model_parameters_with_json_schema: dict[str, Any] = {
+        **(model_parameters or {}),
+    }
+
+    if model_schema.support_structure_output:
+        model_parameters = _handle_native_json_schema(
+            provider, model_schema, json_schema, model_parameters_with_json_schema, model_schema.parameter_rules
+        )
+    else:
+        # Set appropriate response format based on model capabilities
+        _set_response_format(model_parameters_with_json_schema, model_schema.parameter_rules)
+
+        # handle prompt based schema
+        prompt_messages = _handle_prompt_based_schema(
+            prompt_messages=prompt_messages,
+            structured_output_schema=json_schema,
+        )
+
+    llm_result = model_instance.invoke_llm(
+        prompt_messages=list(prompt_messages),
+        model_parameters=model_parameters_with_json_schema,
+        tools=tools,
+        stop=stop,
+        stream=stream,
+        user=user,
+        callbacks=callbacks,
+    )
+
+    if isinstance(llm_result, LLMResult):
+        if not isinstance(llm_result.message.content, str):
+            raise OutputParserError(
+                f"Failed to parse structured output, LLM result is not a string: {llm_result.message.content}"
+            )
+
+        return LLMResultWithStructuredOutput(
+            structured_output=_parse_structured_output(llm_result.message.content),
+            model=llm_result.model,
+            message=llm_result.message,
+            usage=llm_result.usage,
+            system_fingerprint=llm_result.system_fingerprint,
+            prompt_messages=llm_result.prompt_messages,
+        )
+    else:
+
+        def generator() -> Generator[LLMResultChunkWithStructuredOutput, None, None]:
+            result_text: str = ""
+            prompt_messages: Sequence[PromptMessage] = []
+            system_fingerprint: Optional[str] = None
+            for event in llm_result:
+                if isinstance(event, LLMResultChunk):
+                    prompt_messages = event.prompt_messages
+                    system_fingerprint = event.system_fingerprint
+
+                    if isinstance(event.delta.message.content, str):
+                        result_text += event.delta.message.content
+                    elif isinstance(event.delta.message.content, list):
+                        for item in event.delta.message.content:
+                            if isinstance(item, TextPromptMessageContent):
+                                result_text += item.data
+
+                yield LLMResultChunkWithStructuredOutput(
+                    model=model_schema.model,
+                    prompt_messages=prompt_messages,
+                    system_fingerprint=system_fingerprint,
+                    delta=event.delta,
+                )
+
+            yield LLMResultChunkWithStructuredOutput(
+                structured_output=_parse_structured_output(result_text),
+                model=model_schema.model,
+                prompt_messages=prompt_messages,
+                system_fingerprint=system_fingerprint,
+                delta=LLMResultChunkDelta(
+                    index=0,
+                    message=AssistantPromptMessage(content=""),
+                    usage=None,
+                    finish_reason=None,
+                ),
+            )
+
+        return generator()
+
+
+def _handle_native_json_schema(
+    provider: str,
+    model_schema: AIModelEntity,
+    structured_output_schema: Mapping,
+    model_parameters: dict,
+    rules: list[ParameterRule],
+) -> dict:
+    """
+    Handle structured output for models with native JSON schema support.
+
+    :param model_parameters: Model parameters to update
+    :param rules: Model parameter rules
+    :return: Updated model parameters with JSON schema configuration
+    """
+    # Process schema according to model requirements
+    schema_json = _prepare_schema_for_model(provider, model_schema, structured_output_schema)
+
+    # Set JSON schema in parameters
+    model_parameters["json_schema"] = json.dumps(schema_json, ensure_ascii=False)
+
+    # Set appropriate response format if required by the model
+    for rule in rules:
+        if rule.name == "response_format" and ResponseFormat.JSON_SCHEMA.value in rule.options:
+            model_parameters["response_format"] = ResponseFormat.JSON_SCHEMA.value
+
+    return model_parameters
+
+
+def _set_response_format(model_parameters: dict, rules: list) -> None:
+    """
+    Set the appropriate response format parameter based on model rules.
+
+    :param model_parameters: Model parameters to update
+    :param rules: Model parameter rules
+    """
+    for rule in rules:
+        if rule.name == "response_format":
+            if ResponseFormat.JSON.value in rule.options:
+                model_parameters["response_format"] = ResponseFormat.JSON.value
+            elif ResponseFormat.JSON_OBJECT.value in rule.options:
+                model_parameters["response_format"] = ResponseFormat.JSON_OBJECT.value
+
+
+def _handle_prompt_based_schema(
+    prompt_messages: Sequence[PromptMessage], structured_output_schema: Mapping
+) -> list[PromptMessage]:
+    """
+    Handle structured output for models without native JSON schema support.
+    This function modifies the prompt messages to include schema-based output requirements.
+
+    Args:
+        prompt_messages: Original sequence of prompt messages
+
+    Returns:
+        list[PromptMessage]: Updated prompt messages with structured output requirements
+    """
+    # Convert schema to string format
+    schema_str = json.dumps(structured_output_schema, ensure_ascii=False)
+
+    # Find existing system prompt with schema placeholder
+    system_prompt = next(
+        (prompt for prompt in prompt_messages if isinstance(prompt, SystemPromptMessage)),
+        None,
+    )
+    structured_output_prompt = STRUCTURED_OUTPUT_PROMPT.replace("{{schema}}", schema_str)
+    # Prepare system prompt content
+    system_prompt_content = (
+        structured_output_prompt + "\n\n" + system_prompt.content
+        if system_prompt and isinstance(system_prompt.content, str)
+        else structured_output_prompt
+    )
+    system_prompt = SystemPromptMessage(content=system_prompt_content)
+
+    # Extract content from the last user message
+
+    filtered_prompts = [prompt for prompt in prompt_messages if not isinstance(prompt, SystemPromptMessage)]
+    updated_prompt = [system_prompt] + filtered_prompts
+
+    return updated_prompt
+
+
+def _parse_structured_output(result_text: str) -> Mapping[str, Any]:
+    structured_output: Mapping[str, Any] = {}
+    parsed: Mapping[str, Any] = {}
+    try:
+        parsed = TypeAdapter(Mapping).validate_json(result_text)
+        if not isinstance(parsed, dict):
+            raise OutputParserError(f"Failed to parse structured output: {result_text}")
+        structured_output = parsed
+    except ValidationError:
+        # if the result_text is not a valid json, try to repair it
+        temp_parsed = json_repair.loads(result_text)
+        if not isinstance(temp_parsed, dict):
+            # handle reasoning model like deepseek-r1 got '<think>\n\n</think>\n' prefix
+            if isinstance(temp_parsed, list):
+                temp_parsed = next((item for item in temp_parsed if isinstance(item, dict)), {})
+            else:
+                raise OutputParserError(f"Failed to parse structured output: {result_text}")
+        structured_output = cast(dict, temp_parsed)
+    return structured_output
+
+
+def _prepare_schema_for_model(provider: str, model_schema: AIModelEntity, schema: Mapping) -> dict:
+    """
+    Prepare JSON schema based on model requirements.
+
+    Different models have different requirements for JSON schema formatting.
+    This function handles these differences.
+
+    :param schema: The original JSON schema
+    :return: Processed schema compatible with the current model
+    """
+
+    # Deep copy to avoid modifying the original schema
+    processed_schema = dict(deepcopy(schema))
+
+    # Convert boolean types to string types (common requirement)
+    convert_boolean_to_string(processed_schema)
+
+    # Apply model-specific transformations
+    if SpecialModelType.GEMINI in model_schema.model:
+        remove_additional_properties(processed_schema)
+        return processed_schema
+    elif SpecialModelType.OLLAMA in provider:
+        return processed_schema
+    else:
+        # Default format with name field
+        return {"schema": processed_schema, "name": "llm_response"}
+
+
+def remove_additional_properties(schema: dict) -> None:
+    """
+    Remove additionalProperties fields from JSON schema.
+    Used for models like Gemini that don't support this property.
+
+    :param schema: JSON schema to modify in-place
+    """
+    if not isinstance(schema, dict):
+        return
+
+    # Remove additionalProperties at current level
+    schema.pop("additionalProperties", None)
+
+    # Process nested structures recursively
+    for value in schema.values():
+        if isinstance(value, dict):
+            remove_additional_properties(value)
+        elif isinstance(value, list):
+            for item in value:
+                if isinstance(item, dict):
+                    remove_additional_properties(item)
+
+
+def convert_boolean_to_string(schema: dict) -> None:
+    """
+    Convert boolean type specifications to string in JSON schema.
+
+    :param schema: JSON schema to modify in-place
+    """
+    if not isinstance(schema, dict):
+        return
+
+    # Check for boolean type at current level
+    if schema.get("type") == "boolean":
+        schema["type"] = "string"
+
+    # Process nested dictionaries and lists recursively
+    for value in schema.values():
+        if isinstance(value, dict):
+            convert_boolean_to_string(value)
+        elif isinstance(value, list):
+            for item in value:
+                if isinstance(item, dict):
+                    convert_boolean_to_string(item)

api/core/llm_generator/prompts.py

@@ -291,3 +291,21 @@ Your task is to convert simple user descriptions into properly formatted JSON Sc
 
 Now, generate a JSON Schema based on my description
 """  # noqa: E501
+
+STRUCTURED_OUTPUT_PROMPT = """You’re a helpful AI assistant. You could answer questions and output in JSON format.
+constraints:
+    - You must output in JSON format.
+    - Do not output boolean value, use string type instead.
+    - Do not output integer or float value, use number type instead.
+eg:
+    Here is the JSON schema:
+    {"additionalProperties": false, "properties": {"age": {"type": "number"}, "name": {"type": "string"}}, "required": ["name", "age"], "type": "object"}
+
+    Here is the user's question:
+    My name is John Doe and I am 30 years old.
+
+    output:
+    {"name": "John Doe", "age": 30}
+Here is the JSON schema:
+{{schema}}
+"""  # noqa: E501