r2

Merge branch 'main' into feat/r2
2025-07-02 18:46:36 +08:00 · 2025-07-02 18:20:41 +08:00 · 2025-07-02 18:20:05 +08:00 · 2025-07-02 18:15:23 +08:00 · 2025-07-02 17:48:23 +08:00 · 2025-07-02 17:48:07 +08:00
1528 changed files with 63693 additions and 11234 deletions
@@ -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
@@ -83,9 +85,15 @@ jobs:
          compose-file: |
            docker/docker-compose.middleware.yaml
          services: |
+            db
+            redis
            sandbox
            ssrf_proxy

+      - name: setup test config
+        run: |
+          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
+
      - name: Run Workflow
        run: uv run --project api bash dev/pytest/pytest_workflow.sh

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

@@ -4,7 +4,7 @@ on:
  workflow_run:
    workflows: ["Build and Push API & Web"]
    branches:
-      - "deploy/dev"
+      - "deploy/rag-dev"
    types:
      - completed

@@ -12,12 +12,13 @@ jobs:
  deploy:
    runs-on: ubuntu-latest
    if: |
-      github.event.workflow_run.conclusion == 'success'
+      github.event.workflow_run.conclusion == 'success' &&
+      github.event.workflow_run.head_branch == 'deploy/rag-dev'
    steps:
      - name: Deploy to server
        uses: appleboy/ssh-action@v0.1.8
        with:
-          host: ${{ secrets.SSH_HOST }}
+          host: ${{ secrets.RAG_SSH_HOST }}
          username: ${{ secrets.SSH_USER }}
          key: ${{ secrets.SSH_PRIVATE_KEY }}
          script: |
@@ -0,0 +1,28 @@
+name: Deploy RAG Dev
+
+permissions:
+  contents: read
+
+on:
+  workflow_run:
+    workflows: ["Build and Push API & Web"]
+    branches:
+      - "deploy/rag-dev"
+    types:
+      - completed
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    if: |
+      github.event.workflow_run.conclusion == 'success' &&
+      github.event.workflow_run.head_branch == 'deploy/rag-dev'
+    steps:
+      - name: Deploy to server
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.RAG_SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}
@@ -10,6 +10,7 @@ yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-com
 yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
 yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
 yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
+yq eval '.services.oceanbase.ports += ["2881:2881"]' -i docker/docker-compose.yaml
 yq eval '.services.opengauss.ports += ["6600:6600"]' -i docker/docker-compose.yaml

 echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase, opengauss"
@@ -31,6 +31,13 @@ jobs:
        with:
          persist-credentials: false

+      - name: Free Disk Space
+        uses: endersonmenezes/free-disk-space@v2
+        with:
+          remove_dotnet: true
+          remove_haskell: true
+          remove_tool_cache: true
+
      - name: Setup UV and Python
        uses: ./.github/actions/setup-uv
        with:
@@ -59,7 +66,7 @@ jobs:
            tidb
            tiflash

-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
        uses: hoverkraft-tech/compose-action@v2.0.2
        with:
          compose-file: |
@@ -75,8 +82,15 @@ jobs:
            pgvector
            chroma
            elasticsearch
+            oceanbase

-      - name: Check TiDB Ready
+      - name: setup test config
+        run: |
+          echo $(pwd)
+          ls -lah .
+          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
+
+      - name: Check VDB Ready (TiDB)
        run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py

      - name: Test Vector Stores
@@ -179,6 +179,7 @@ docker/volumes/pgvecto_rs/data/*
 docker/volumes/couchbase/*
 docker/volumes/oceanbase/*
 docker/volumes/plugin_daemon/*
+docker/volumes/matrixone/*
 !docker/volumes/oceanbase/init.d

 docker/nginx/conf.d/default.conf
@@ -210,3 +211,7 @@ mise.toml

 # Next.js build output
 .next/
+
+# AI Assistant
+.roo/
+api/.env.backup
@@ -226,6 +226,15 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)

 - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Using Alibaba Cloud Computing Nest
+
+Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) 
+
+#### Using Alibaba Cloud Data Management
+
+One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) 
+
+
 ## Contributing

 For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
@@ -209,6 +209,14 @@ docker compose up -d

 - [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### استخدام Alibaba Cloud للنشر
+ [بسرعة نشر Dify إلى سحابة علي بابا مع عش الحوسبة السحابية علي بابا](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+ 
+#### استخدام Alibaba Cloud Data Management للنشر
+
+انشر Dify على علي بابا كلاود بنقرة واحدة باستخدام [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## المساهمة

 لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
@@ -225,6 +225,15 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন

 - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud ব্যবহার করে ডিপ্লয়
+
+ [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management ব্যবহার করে ডিপ্লয়
+
+ [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Contributing

 যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)।
@@ -221,6 +221,15 @@ docker compose up -d
 ##### AWS 
 - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### 使用 阿里云计算巢 部署
+
+使用 [阿里云计算巢](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) 将 Dify 一键部署到 阿里云
+
+#### 使用 阿里云数据管理DMS 部署
+
+使用 [阿里云数据管理DMS](https://help.aliyun.com/zh/dms/dify-in-invitational-preview) 将 Dify 一键部署到 阿里云
+
+
 ## Star History

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
@@ -221,6 +221,15 @@ Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/)
 ##### AWS 
 - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud 
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+Ein-Klick-Bereitstellung von Dify in der Alibaba Cloud mit [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Contributing

 Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren.
@@ -221,6 +221,15 @@ Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/)
 ##### AWS 
 - [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+Despliega Dify en Alibaba Cloud con un solo clic con [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Contribuir

 Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
@@ -219,6 +219,15 @@ Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
 ##### AWS 
 - [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+Déployez Dify en un clic sur Alibaba Cloud avec [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Contribuer

 Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
@@ -155,7 +155,7 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ
 [こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップ不要で試すことができます。サンドボックスプランには、200回のGPT-4呼び出しが無料で含まれています。

 - **Dify Community Editionのセルフホスティング</br>**
-この[スタートガイド](#quick-start)を使用して、ローカル環境でDifyを簡単に実行できます。
+この[スタートガイド](#クイックスタート)を使用して、ローカル環境でDifyを簡単に実行できます。
 詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。

 - **企業/組織向けのDify</br>**
@@ -220,6 +220,13 @@ docker compose up -d
 ##### AWS
 - [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) を利用して、DifyをAlibaba Cloudへワンクリックでデプロイできます
+
+
 ## 貢献

 コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
@@ -219,6 +219,15 @@ wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo
 ##### AWS 
 - [AWS CDK qachlot @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Contributing

 For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
@@ -213,6 +213,15 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
 ##### AWS 
 - [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)를 통해 원클릭으로 Dify를 Alibaba Cloud에 배포할 수 있습니다
+
+
 ## 기여

 코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
@@ -218,6 +218,15 @@ Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/)
 ##### AWS 
 - [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+Implante o Dify na Alibaba Cloud com um clique usando o [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Contribuindo

 Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
@@ -219,6 +219,15 @@ Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
 ##### AWS 
 - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+Z enim klikom namestite Dify na Alibaba Cloud z [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Prispevam

 Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. 
@@ -212,6 +212,15 @@ Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.ter
 ##### AWS 
 - [AWS CDK tarafından @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) kullanarak Dify'ı tek tıkla Alibaba Cloud'a dağıtın
+
+
 ## Katkıda Bulunma

 Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
@@ -224,6 +224,15 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify

 - [由 @KevinZhao 提供的 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+#### 使用 阿里云计算巢進行部署
+
+[阿里云](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### 使用 阿里雲數據管理DMS 進行部署
+
+透過 [阿里雲數據管理DMS](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)，一鍵將 Dify 部署至阿里雲
+
+
 ## 貢獻

 對於想要貢獻程式碼的開發者，請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
@@ -214,6 +214,16 @@ Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
 ##### AWS 
 - [AWS CDK bởi @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

+
+#### Alibaba Cloud
+
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
+#### Alibaba Cloud Data Management
+
+Triển khai Dify lên Alibaba Cloud chỉ với một cú nhấp chuột bằng [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+
+
 ## Đóng góp

 Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi. 
@@ -137,7 +137,7 @@ WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*

 # Vector database configuration
-# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore
+# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore, matrixone
 VECTOR_STORE=weaviate

 # Weaviate configuration
@@ -294,6 +294,13 @@ VIKINGDB_SCHEMA=http
 VIKINGDB_CONNECTION_TIMEOUT=30
 VIKINGDB_SOCKET_TIMEOUT=30

+# Matrixone configration
+MATRIXONE_HOST=127.0.0.1
+MATRIXONE_PORT=6001
+MATRIXONE_USER=dump
+MATRIXONE_PASSWORD=111
+MATRIXONE_DATABASE=dify
+
 # Lindorm configuration
 LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
 LINDORM_USERNAME=admin
@@ -332,9 +339,11 @@ PROMPT_GENERATION_MAX_TOKENS=512
 CODE_GENERATION_MAX_TOKENS=1024
 PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false

-# Mail configuration, support: resend, smtp
+# Mail configuration, support: resend, smtp, sendgrid
 MAIL_TYPE=
+# If using SendGrid, use the 'from' field for authentication if necessary.
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
+# resend configuration
 RESEND_API_KEY=
 RESEND_API_URL=https://api.resend.com
 # smtp configuration
@@ -344,7 +353,8 @@ SMTP_USERNAME=123
 SMTP_PASSWORD=abc
 SMTP_USE_TLS=true
 SMTP_OPPORTUNISTIC_TLS=false
-
+# Sendgid configuration
+SENDGRID_API_KEY=
 # Sentry configuration
 SENTRY_DSN=

@@ -1,6 +1,4 @@
-exclude = [
-    "migrations/*",
-]
+exclude = ["migrations/*"]
 line-length = 120

 [format]
@@ -9,14 +7,14 @@ quote-style = "double"
 [lint]
 preview = false
 select = [
-    "B", # flake8-bugbear rules
-    "C4", # flake8-comprehensions
-    "E", # pycodestyle E rules
-    "F", # pyflakes rules
-    "FURB", # refurb rules
-    "I", # isort rules
-    "N", # pep8-naming
-    "PT", # flake8-pytest-style rules
+    "B",       # flake8-bugbear rules
+    "C4",      # flake8-comprehensions
+    "E",       # pycodestyle E rules
+    "F",       # pyflakes rules
+    "FURB",    # refurb rules
+    "I",       # isort rules
+    "N",       # pep8-naming
+    "PT",      # flake8-pytest-style rules
    "PLC0208", # iteration-over-set
    "PLC0414", # useless-import-alias
    "PLE0604", # invalid-all-object
@@ -24,19 +22,19 @@ select = [
    "PLR0402", # manual-from-import
    "PLR1711", # useless-return
    "PLR1714", # repeated-equality-comparison
-    "RUF013", # implicit-optional
-    "RUF019", # unnecessary-key-check
-    "RUF100", # unused-noqa
-    "RUF101", # redirected-noqa
-    "RUF200", # invalid-pyproject-toml
-    "RUF022", # unsorted-dunder-all
-    "S506", # unsafe-yaml-load
-    "SIM", # flake8-simplify rules
-    "TRY400", # error-instead-of-exception
-    "TRY401", # verbose-log-message
-    "UP", # pyupgrade rules
-    "W191", # tab-indentation
-    "W605", # invalid-escape-sequence
+    "RUF013",  # implicit-optional
+    "RUF019",  # unnecessary-key-check
+    "RUF100",  # unused-noqa
+    "RUF101",  # redirected-noqa
+    "RUF200",  # invalid-pyproject-toml
+    "RUF022",  # unsorted-dunder-all
+    "S506",    # unsafe-yaml-load
+    "SIM",     # flake8-simplify rules
+    "TRY400",  # error-instead-of-exception
+    "TRY401",  # verbose-log-message
+    "UP",      # pyupgrade rules
+    "W191",    # tab-indentation
+    "W605",    # invalid-escape-sequence
    # security related linting rules
    # RCE proctection (sort of)
    "S102", # exec-builtin, disallow use of `exec`
@@ -47,36 +45,37 @@ select = [
 ]

 ignore = [
-    "E402", # module-import-not-at-top-of-file
-    "E711", # none-comparison
-    "E712", # true-false-comparison
-    "E721", # type-comparison
-    "E722", # bare-except
-    "F821", # undefined-name
-    "F841", # unused-variable
+    "E402",    # module-import-not-at-top-of-file
+    "E711",    # none-comparison
+    "E712",    # true-false-comparison
+    "E721",    # type-comparison
+    "E722",    # bare-except
+    "F821",    # undefined-name
+    "F841",    # unused-variable
    "FURB113", # repeated-append
    "FURB152", # math-constant
-    "UP007", # non-pep604-annotation
-    "UP032", # f-string
-    "UP045", # non-pep604-annotation-optional
-    "B005", # strip-with-multi-characters
-    "B006", # mutable-argument-default
-    "B007", # unused-loop-control-variable
-    "B026", # star-arg-unpacking-after-keyword-arg
-    "B903", # class-as-data-structure
-    "B904", # raise-without-from-inside-except
-    "B905", # zip-without-explicit-strict
-    "N806", # non-lowercase-variable-in-function
-    "N815", # mixed-case-variable-in-class-scope
-    "PT011", # pytest-raises-too-broad
-    "SIM102", # collapsible-if
-    "SIM103", # needless-bool
-    "SIM105", # suppressible-exception
-    "SIM107", # return-in-try-except-finally
-    "SIM108", # if-else-block-instead-of-if-exp
-    "SIM113", # enumerate-for-loop
-    "SIM117", # multiple-with-statements
-    "SIM210", # if-expr-with-true-false
+    "UP007",   # non-pep604-annotation
+    "UP032",   # f-string
+    "UP045",   # non-pep604-annotation-optional
+    "B005",    # strip-with-multi-characters
+    "B006",    # mutable-argument-default
+    "B007",    # unused-loop-control-variable
+    "B026",    # star-arg-unpacking-after-keyword-arg
+    "B903",    # class-as-data-structure
+    "B904",    # raise-without-from-inside-except
+    "B905",    # zip-without-explicit-strict
+    "N806",    # non-lowercase-variable-in-function
+    "N815",    # mixed-case-variable-in-class-scope
+    "PT011",   # pytest-raises-too-broad
+    "SIM102",  # collapsible-if
+    "SIM103",  # needless-bool
+    "SIM105",  # suppressible-exception
+    "SIM107",  # return-in-try-except-finally
+    "SIM108",  # if-else-block-instead-of-if-exp
+    "SIM113",  # enumerate-for-loop
+    "SIM117",  # multiple-with-statements
+    "SIM210",  # if-expr-with-true-false
+    "UP038",   # deprecated and not recommended by Ruff, https://docs.astral.sh/ruff/rules/non-pep604-isinstance/
 ]

 [lint.per-file-ignores]
@@ -1,4 +1,3 @@
-import os
 import sys


@@ -17,20 +16,20 @@ else:
    # It seems that JetBrains Python debugger does not work well with gevent,
    # so we need to disable gevent in debug mode.
    # If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent.
-    if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
-        from gevent import monkey
+    # if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
+    # from gevent import monkey
+    #
+    # # gevent
+    # monkey.patch_all()
+    #
+    # from grpc.experimental import gevent as grpc_gevent  # type: ignore
+    #
+    # # grpc gevent
+    # grpc_gevent.init_gevent()

-        # gevent
-        monkey.patch_all()
-
-        from grpc.experimental import gevent as grpc_gevent  # type: ignore
-
-        # grpc gevent
-        grpc_gevent.init_gevent()
-
-        import psycogreen.gevent  # type: ignore
-
-        psycogreen.gevent.patch_psycopg()
+    # import psycogreen.gevent  # type: ignore
+    #
+    # psycogreen.gevent.patch_psycopg()

    from app_factory import create_app

@@ -27,7 +27,7 @@ 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 services.account_service import RegisterService, TenantService
+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
 from services.plugin.plugin_migration import PluginMigration
@@ -68,6 +68,7 @@ def reset_password(email, new_password, password_confirm):
    account.password = base64_password_hashed
    account.password_salt = base64_salt
    db.session.commit()
+    AccountService.reset_login_error_rate_limit(email)
    click.echo(click.style("Password reset successfully.", fg="green"))


@@ -280,6 +281,7 @@ def migrate_knowledge_vector_database():
        VectorType.ELASTICSEARCH,
        VectorType.OPENGAUSS,
        VectorType.TABLESTORE,
+        VectorType.MATRIXONE,
    }
    lower_collection_vector_types = {
        VectorType.ANALYTICDB,
@@ -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,
+                ),
+            ),
        )
@@ -609,7 +609,7 @@ class MailConfig(BaseSettings):
    """

    MAIL_TYPE: Optional[str] = Field(
-        description="Email service provider type ('smtp' or 'resend'), default to None.",
+        description="Email service provider type ('smtp' or 'resend' or 'sendGrid), default to None.",
        default=None,
    )

@@ -663,6 +663,11 @@ class MailConfig(BaseSettings):
        default=50,
    )

+    SENDGRID_API_KEY: Optional[str] = Field(
+        description="API key for SendGrid service",
+        default=None,
+    )
+

 class RagEtlConfig(BaseSettings):
    """
@@ -222,11 +222,28 @@ class HostedFetchAppTemplateConfig(BaseSettings):
    )


+class HostedFetchPipelineTemplateConfig(BaseSettings):
+    """
+    Configuration for fetching pipeline templates
+    """
+
+    HOSTED_FETCH_PIPELINE_TEMPLATES_MODE: str = Field(
+        description="Mode for fetching pipeline templates: remote, db, or builtin default to remote,",
+        default="database",
+    )
+
+    HOSTED_FETCH_PIPELINE_TEMPLATES_REMOTE_DOMAIN: str = Field(
+        description="Domain for fetching remote pipeline templates",
+        default="https://tmpl.dify.ai",
+    )
+
+
 class HostedServiceConfig(
    # place the configs in alphabet order
    HostedAnthropicConfig,
    HostedAzureOpenAiConfig,
    HostedFetchAppTemplateConfig,
+    HostedFetchPipelineTemplateConfig,
    HostedMinmaxConfig,
    HostedOpenAiConfig,
    HostedSparkConfig,
@@ -24,6 +24,7 @@ from .vdb.couchbase_config import CouchbaseConfig
 from .vdb.elasticsearch_config import ElasticsearchConfig
 from .vdb.huawei_cloud_config import HuaweiCloudConfig
 from .vdb.lindorm_config import LindormConfig
+from .vdb.matrixone_config import MatrixoneConfig
 from .vdb.milvus_config import MilvusConfig
 from .vdb.myscale_config import MyScaleConfig
 from .vdb.oceanbase_config import OceanBaseVectorConfig
@@ -222,6 +223,10 @@ 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,
@@ -323,5 +328,6 @@ class MiddlewareConfig(
    OpenGaussConfig,
    TableStoreConfig,
    DatasetQueueMonitorConfig,
+    MatrixoneConfig,
 ):
    pass
@@ -0,0 +1,14 @@
+from pydantic import BaseModel, Field
+
+
+class MatrixoneConfig(BaseModel):
+    """Matrixone vector database configuration."""
+
+    MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")
+    MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server")
+    MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone")
+    MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone")
+    MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to")
+    MATRIXONE_METRIC: str = Field(
+        default="l2", description="Distance metric type for vector similarity search (cosine or l2)"
+    )
@@ -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="1.4.2",
-    )
-
    COMMIT_SHA: str = Field(
        description="SHA-1 checksum of the git commit used to build the app",
        default="",
@@ -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(),
+    )
@@ -3,6 +3,7 @@ from threading import Lock
 from typing import TYPE_CHECKING

 from contexts.wrapper import RecyclableContextVar
+from core.datasource.__base.datasource_provider import DatasourcePluginProviderController

 if TYPE_CHECKING:
    from core.model_runtime.entities.model_entities import AIModelEntity
@@ -33,3 +34,11 @@ plugin_model_schema_lock: RecyclableContextVar[Lock] = RecyclableContextVar(Cont
 plugin_model_schemas: RecyclableContextVar[dict[str, "AIModelEntity"]] = RecyclableContextVar(
    ContextVar("plugin_model_schemas")
 )
+
+datasource_plugin_providers: RecyclableContextVar[dict[str, "DatasourcePluginProviderController"]] = (
+    RecyclableContextVar(ContextVar("datasource_plugin_providers"))
+)
+
+datasource_plugin_providers_lock: RecyclableContextVar[Lock] = RecyclableContextVar(
+    ContextVar("datasource_plugin_providers_lock")
+)
@@ -63,6 +63,7 @@ from .app import (
    statistic,
    workflow,
    workflow_app_log,
+    workflow_draft_variable,
    workflow_run,
    workflow_statistic,
 )
@@ -75,7 +76,6 @@ from .billing import billing, compliance

 # Import datasets controllers
 from .datasets import (
-    data_source,
    datasets,
    datasets_document,
    datasets_segments,
@@ -84,6 +84,14 @@ from .datasets import (
    metadata,
    website,
 )
+from .datasets.rag_pipeline import (
+    datasource_auth,
+    datasource_content_preview,
+    rag_pipeline,
+    rag_pipeline_datasets,
+    rag_pipeline_import,
+    rag_pipeline_workflow,
+)

 # Import explore controllers
 from .explore import (
@@ -56,8 +56,7 @@ class InsertExploreAppListApi(Resource):
        parser.add_argument("position", type=int, required=True, nullable=False, location="json")
        args = parser.parse_args()

-        with Session(db.engine) as session:
-            app = session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none()
+        app = db.session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none()
        if not app:
            raise NotFound(f"App '{args['app_id']}' is not found")

@@ -78,38 +77,38 @@ class InsertExploreAppListApi(Resource):
                select(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"])
            ).scalar_one_or_none()

-        if not recommended_app:
-            recommended_app = RecommendedApp(
-                app_id=app.id,
-                description=desc,
-                copyright=copy_right,
-                privacy_policy=privacy_policy,
-                custom_disclaimer=custom_disclaimer,
-                language=args["language"],
-                category=args["category"],
-                position=args["position"],
-            )
+            if not recommended_app:
+                recommended_app = RecommendedApp(
+                    app_id=app.id,
+                    description=desc,
+                    copyright=copy_right,
+                    privacy_policy=privacy_policy,
+                    custom_disclaimer=custom_disclaimer,
+                    language=args["language"],
+                    category=args["category"],
+                    position=args["position"],
+                )

-            db.session.add(recommended_app)
+                db.session.add(recommended_app)

-            app.is_public = True
-            db.session.commit()
+                app.is_public = True
+                db.session.commit()

-            return {"result": "success"}, 201
-        else:
-            recommended_app.description = desc
-            recommended_app.copyright = copy_right
-            recommended_app.privacy_policy = privacy_policy
-            recommended_app.custom_disclaimer = custom_disclaimer
-            recommended_app.language = args["language"]
-            recommended_app.category = args["category"]
-            recommended_app.position = args["position"]
+                return {"result": "success"}, 201
+            else:
+                recommended_app.description = desc
+                recommended_app.copyright = copy_right
+                recommended_app.privacy_policy = privacy_policy
+                recommended_app.custom_disclaimer = custom_disclaimer
+                recommended_app.language = args["language"]
+                recommended_app.category = args["category"]
+                recommended_app.position = args["position"]

-            app.is_public = True
+                app.is_public = True

-            db.session.commit()
+                db.session.commit()

-            return {"result": "success"}, 200
+                return {"result": "success"}, 200


 class InsertExploreAppApi(Resource):
@@ -208,7 +208,7 @@ class AnnotationBatchImportApi(Resource):
        if len(request.files) > 1:
            raise TooManyFilesError()
        # check file type
-        if not file.filename or not file.filename.endswith(".csv"):
+        if not file.filename or not file.filename.lower().endswith(".csv"):
            raise ValueError("Invalid file type. Only CSV files are allowed")
        return AppAnnotationService.batch_import_app_annotations(app_id, file)

@@ -17,6 +17,8 @@ from libs.login import login_required
 from models import Account
 from models.model import App
 from services.app_dsl_service import AppDslService, ImportStatus
+from services.enterprise.enterprise_service import EnterpriseService
+from services.feature_service import FeatureService


 class AppImportApi(Resource):
@@ -60,7 +62,9 @@ class AppImportApi(Resource):
                app_id=args.get("app_id"),
            )
            session.commit()
-
+        if result.app_id and FeatureService.get_system_features().webapp_auth.enabled:
+            # update web app setting as private
+            EnterpriseService.WebAppAuth.update_app_access_mode(result.app_id, "private")
        # Return appropriate status code based on result
        status = result.status
        if status == ImportStatus.FAILED.value:
@@ -1,5 +1,6 @@
 import json
 import logging
+from collections.abc import Sequence
 from typing import cast

 from flask import abort, request
@@ -18,10 +19,12 @@ from controllers.console.app.error import (
 from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import account_initialization_required, setup_required
 from controllers.web.error import InvokeRateLimitError as InvokeRateLimitHttpError
+from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
+from core.file.models import File
 from extensions.ext_database import db
-from factories import variable_factory
+from factories import file_factory, variable_factory
 from fields.workflow_fields import workflow_fields, workflow_pagination_fields
 from fields.workflow_run_fields import workflow_run_node_execution_fields
 from libs import helper
@@ -30,6 +33,7 @@ from libs.login import current_user, login_required
 from models import App
 from models.account import Account
 from models.model import AppMode
+from models.workflow import Workflow
 from services.app_generate_service import AppGenerateService
 from services.errors.app import WorkflowHashNotEqualError
 from services.errors.llm import InvokeRateLimitError
@@ -38,6 +42,24 @@ from services.workflow_service import DraftWorkflowDeletionError, WorkflowInUseE
 logger = logging.getLogger(__name__)


+# TODO(QuantumGhost): Refactor existing node run API to handle file parameter parsing
+# at the controller level rather than in the workflow logic. This would improve separation
+# of concerns and make the code more maintainable.
+def _parse_file(workflow: Workflow, files: list[dict] | None = None) -> Sequence[File]:
+    files = files or []
+
+    file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
+    file_objs: Sequence[File] = []
+    if file_extra_config is None:
+        return file_objs
+    file_objs = file_factory.build_from_mappings(
+        mappings=files,
+        tenant_id=workflow.tenant_id,
+        config=file_extra_config,
+    )
+    return file_objs
+
+
 class DraftWorkflowApi(Resource):
    @setup_required
    @login_required
@@ -402,15 +424,30 @@ class DraftWorkflowNodeRunApi(Resource):

        parser = reqparse.RequestParser()
        parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
+        parser.add_argument("query", type=str, required=False, location="json", default="")
+        parser.add_argument("files", type=list, location="json", default=[])
        args = parser.parse_args()

-        inputs = args.get("inputs")
-        if inputs == None:
+        user_inputs = args.get("inputs")
+        if user_inputs is None:
            raise ValueError("missing inputs")

+        workflow_srv = WorkflowService()
+        # fetch draft workflow by app_model
+        draft_workflow = workflow_srv.get_draft_workflow(app_model=app_model)
+        if not draft_workflow:
+            raise ValueError("Workflow not initialized")
+        files = _parse_file(draft_workflow, args.get("files"))
        workflow_service = WorkflowService()
+
        workflow_node_execution = workflow_service.run_draft_workflow_node(
-            app_model=app_model, node_id=node_id, user_inputs=inputs, account=current_user
+            app_model=app_model,
+            draft_workflow=draft_workflow,
+            node_id=node_id,
+            user_inputs=user_inputs,
+            account=current_user,
+            query=args.get("query", ""),
+            files=files,
        )

        return workflow_node_execution
@@ -731,6 +768,27 @@ class WorkflowByIdApi(Resource):
        return None, 204


+class DraftWorkflowNodeLastRunApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_run_node_execution_fields)
+    def get(self, app_model: App, node_id: str):
+        srv = WorkflowService()
+        workflow = srv.get_draft_workflow(app_model)
+        if not workflow:
+            raise NotFound("Workflow not found")
+        node_exec = srv.get_node_last_run(
+            app_model=app_model,
+            workflow=workflow,
+            node_id=node_id,
+        )
+        if node_exec is None:
+            raise NotFound("last run not found")
+        return node_exec
+
+
 api.add_resource(
    DraftWorkflowApi,
    "/apps/<uuid:app_id>/workflows/draft",
@@ -795,3 +853,7 @@ api.add_resource(
    WorkflowByIdApi,
    "/apps/<uuid:app_id>/workflows/<string:workflow_id>",
 )
+api.add_resource(
+    DraftWorkflowNodeLastRunApi,
+    "/apps/<uuid:app_id>/workflows/draft/nodes/<string:node_id>/last-run",
+)
@@ -34,6 +34,20 @@ class WorkflowAppLogApi(Resource):
        parser.add_argument(
            "created_at__after", type=str, location="args", help="Filter logs created after this timestamp"
        )
+        parser.add_argument(
+            "created_by_end_user_session_id",
+            type=str,
+            location="args",
+            required=False,
+            default=None,
+        )
+        parser.add_argument(
+            "created_by_account",
+            type=str,
+            location="args",
+            required=False,
+            default=None,
+        )
        parser.add_argument("page", type=int_range(1, 99999), default=1, location="args")
        parser.add_argument("limit", type=int_range(1, 100), default=20, location="args")
        args = parser.parse_args()
@@ -57,6 +71,8 @@ class WorkflowAppLogApi(Resource):
                created_at_after=args.created_at__after,
                page=args.page,
                limit=args.limit,
+                created_by_end_user_session_id=args.created_by_end_user_session_id,
+                created_by_account=args.created_by_account,
            )

            return workflow_app_log_pagination
@@ -0,0 +1,421 @@
+import logging
+from typing import Any, NoReturn
+
+from flask import Response
+from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
+from sqlalchemy.orm import Session
+from werkzeug.exceptions import Forbidden
+
+from controllers.console import api
+from controllers.console.app.error import (
+    DraftWorkflowNotExist,
+)
+from controllers.console.app.wraps import get_app_model
+from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.web.error import InvalidArgumentError, NotFoundError
+from core.variables.segment_group import SegmentGroup
+from core.variables.segments import ArrayFileSegment, FileSegment, Segment
+from core.variables.types import SegmentType
+from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
+from factories.file_factory import build_from_mapping, build_from_mappings
+from factories.variable_factory import build_segment_with_type
+from libs.login import current_user, login_required
+from models import App, AppMode, db
+from models.workflow import WorkflowDraftVariable
+from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService
+from services.workflow_service import WorkflowService
+
+logger = logging.getLogger(__name__)
+
+
+def _convert_values_to_json_serializable_object(value: Segment) -> Any:
+    if isinstance(value, FileSegment):
+        return value.value.model_dump()
+    elif isinstance(value, ArrayFileSegment):
+        return [i.model_dump() for i in value.value]
+    elif isinstance(value, SegmentGroup):
+        return [_convert_values_to_json_serializable_object(i) for i in value.value]
+    else:
+        return value.value
+
+
+def _serialize_var_value(variable: WorkflowDraftVariable) -> Any:
+    value = variable.get_value()
+    # create a copy of the value to avoid affecting the model cache.
+    value = value.model_copy(deep=True)
+    # Refresh the url signature before returning it to client.
+    if isinstance(value, FileSegment):
+        file = value.value
+        file.remote_url = file.generate_url()
+    elif isinstance(value, ArrayFileSegment):
+        files = value.value
+        for file in files:
+            file.remote_url = file.generate_url()
+    return _convert_values_to_json_serializable_object(value)
+
+
+def _create_pagination_parser():
+    parser = reqparse.RequestParser()
+    parser.add_argument(
+        "page",
+        type=inputs.int_range(1, 100_000),
+        required=False,
+        default=1,
+        location="args",
+        help="the page of data requested",
+    )
+    parser.add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args")
+    return parser
+
+
+_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,
+    "edited": fields.Boolean(attribute=lambda model: model.edited),
+    "visible": fields.Boolean,
+}
+
+_WORKFLOW_DRAFT_VARIABLE_FIELDS = dict(
+    _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,
+    value=fields.Raw(attribute=_serialize_var_value),
+)
+
+_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS = {
+    "id": fields.String,
+    "type": fields.String(attribute=lambda _: "env"),
+    "name": fields.String,
+    "description": fields.String,
+    "selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
+    "value_type": fields.String,
+    "edited": fields.Boolean(attribute=lambda model: model.edited),
+    "visible": fields.Boolean,
+}
+
+_WORKFLOW_DRAFT_ENV_VARIABLE_LIST_FIELDS = {
+    "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS)),
+}
+
+
+def _get_items(var_list: WorkflowDraftVariableList) -> list[WorkflowDraftVariable]:
+    return var_list.variables
+
+
+_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS = {
+    "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS), attribute=_get_items),
+    "total": fields.Raw(),
+}
+
+_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS = {
+    "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_FIELDS), attribute=_get_items),
+}
+
+
+def _api_prerequisite(f):
+    """Common prerequisites for all draft workflow variable APIs.
+
+    It ensures the following conditions are satisfied:
+
+    - Dify has been property setup.
+    - The request user has logged in and initialized.
+    - The requested app is a workflow or a chat flow.
+    - The request user has the edit permission for the app.
+    """
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    def wrapper(*args, **kwargs):
+        if not current_user.is_editor:
+            raise Forbidden()
+        return f(*args, **kwargs)
+
+    return wrapper
+
+
+class WorkflowVariableCollectionApi(Resource):
+    @_api_prerequisite
+    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS)
+    def get(self, app_model: App):
+        """
+        Get draft workflow
+        """
+        parser = _create_pagination_parser()
+        args = parser.parse_args()
+
+        # fetch draft workflow by app_model
+        workflow_service = WorkflowService()
+        workflow_exist = workflow_service.is_workflow_exist(app_model=app_model)
+        if not workflow_exist:
+            raise DraftWorkflowNotExist()
+
+        # fetch draft workflow by app_model
+        with Session(bind=db.engine, expire_on_commit=False) as session:
+            draft_var_srv = WorkflowDraftVariableService(
+                session=session,
+            )
+        workflow_vars = draft_var_srv.list_variables_without_values(
+            app_id=app_model.id,
+            page=args.page,
+            limit=args.limit,
+        )
+
+        return workflow_vars
+
+    @_api_prerequisite
+    def delete(self, app_model: App):
+        draft_var_srv = WorkflowDraftVariableService(
+            session=db.session(),
+        )
+        draft_var_srv.delete_workflow_variables(app_model.id)
+        db.session.commit()
+        return Response("", 204)
+
+
+def validate_node_id(node_id: str) -> NoReturn | None:
+    if node_id in [
+        CONVERSATION_VARIABLE_NODE_ID,
+        SYSTEM_VARIABLE_NODE_ID,
+    ]:
+        # NOTE(QuantumGhost): While we store the system and conversation variables as node variables
+        # with specific `node_id` in database, we still want to make the API separated. By disallowing
+        # accessing system and conversation variables in `WorkflowDraftNodeVariableListApi`,
+        # we mitigate the risk that user of the API depending on the implementation detail of the API.
+        #
+        # ref: [Hyrum's Law](https://www.hyrumslaw.com/)
+
+        raise InvalidArgumentError(
+            f"invalid node_id, please use correspond api for conversation and system variables, node_id={node_id}",
+        )
+    return None
+
+
+class NodeVariableCollectionApi(Resource):
+    @_api_prerequisite
+    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
+    def get(self, app_model: App, node_id: str):
+        validate_node_id(node_id)
+        with Session(bind=db.engine, expire_on_commit=False) as session:
+            draft_var_srv = WorkflowDraftVariableService(
+                session=session,
+            )
+            node_vars = draft_var_srv.list_node_variables(app_model.id, node_id)
+
+        return node_vars
+
+    @_api_prerequisite
+    def delete(self, app_model: App, node_id: str):
+        validate_node_id(node_id)
+        srv = WorkflowDraftVariableService(db.session())
+        srv.delete_node_variables(app_model.id, node_id)
+        db.session.commit()
+        return Response("", 204)
+
+
+class VariableApi(Resource):
+    _PATCH_NAME_FIELD = "name"
+    _PATCH_VALUE_FIELD = "value"
+
+    @_api_prerequisite
+    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
+    def get(self, app_model: App, variable_id: str):
+        draft_var_srv = WorkflowDraftVariableService(
+            session=db.session(),
+        )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        return variable
+
+    @_api_prerequisite
+    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
+    def patch(self, app_model: App, variable_id: str):
+        # Request payload for file types:
+        #
+        # Local File:
+        #
+        #     {
+        #         "type": "image",
+        #         "transfer_method": "local_file",
+        #         "url": "",
+        #         "upload_file_id": "daded54f-72c7-4f8e-9d18-9b0abdd9f190"
+        #     }
+        #
+        # Remote File:
+        #
+        #
+        #     {
+        #         "type": "image",
+        #         "transfer_method": "remote_url",
+        #         "url": "http://127.0.0.1:5001/files/1602650a-4fe4-423c-85a2-af76c083e3c4/file-preview?timestamp=1750041099&nonce=...&sign=...=",
+        #         "upload_file_id": "1602650a-4fe4-423c-85a2-af76c083e3c4"
+        #     }
+
+        parser = reqparse.RequestParser()
+        parser.add_argument(self._PATCH_NAME_FIELD, type=str, required=False, nullable=True, location="json")
+        # Parse 'value' field as-is to maintain its original data structure
+        parser.add_argument(self._PATCH_VALUE_FIELD, type=lambda x: x, required=False, nullable=True, location="json")
+
+        draft_var_srv = WorkflowDraftVariableService(
+            session=db.session(),
+        )
+        args = parser.parse_args(strict=True)
+
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+
+        new_name = args.get(self._PATCH_NAME_FIELD, None)
+        raw_value = args.get(self._PATCH_VALUE_FIELD, None)
+        if new_name is None and raw_value is None:
+            return variable
+
+        new_value = None
+        if raw_value is not None:
+            if variable.value_type == SegmentType.FILE:
+                if not isinstance(raw_value, dict):
+                    raise InvalidArgumentError(description=f"expected dict for file, got {type(raw_value)}")
+                raw_value = build_from_mapping(mapping=raw_value, tenant_id=app_model.tenant_id)
+            elif variable.value_type == SegmentType.ARRAY_FILE:
+                if not isinstance(raw_value, list):
+                    raise InvalidArgumentError(description=f"expected list for files, got {type(raw_value)}")
+                if len(raw_value) > 0 and not isinstance(raw_value[0], dict):
+                    raise InvalidArgumentError(description=f"expected dict for files[0], got {type(raw_value)}")
+                raw_value = build_from_mappings(mappings=raw_value, tenant_id=app_model.tenant_id)
+            new_value = build_segment_with_type(variable.value_type, raw_value)
+        draft_var_srv.update_variable(variable, name=new_name, value=new_value)
+        db.session.commit()
+        return variable
+
+    @_api_prerequisite
+    def delete(self, app_model: App, variable_id: str):
+        draft_var_srv = WorkflowDraftVariableService(
+            session=db.session(),
+        )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        draft_var_srv.delete_variable(variable)
+        db.session.commit()
+        return Response("", 204)
+
+
+class VariableResetApi(Resource):
+    @_api_prerequisite
+    def put(self, app_model: App, variable_id: str):
+        draft_var_srv = WorkflowDraftVariableService(
+            session=db.session(),
+        )
+
+        workflow_srv = WorkflowService()
+        draft_workflow = workflow_srv.get_draft_workflow(app_model)
+        if draft_workflow is None:
+            raise NotFoundError(
+                f"Draft workflow not found, app_id={app_model.id}",
+            )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+
+        resetted = draft_var_srv.reset_variable(draft_workflow, variable)
+        db.session.commit()
+        if resetted is None:
+            return Response("", 204)
+        else:
+            return marshal(resetted, _WORKFLOW_DRAFT_VARIABLE_FIELDS)
+
+
+def _get_variable_list(app_model: App, node_id) -> WorkflowDraftVariableList:
+    with Session(bind=db.engine, expire_on_commit=False) as session:
+        draft_var_srv = WorkflowDraftVariableService(
+            session=session,
+        )
+        if node_id == CONVERSATION_VARIABLE_NODE_ID:
+            draft_vars = draft_var_srv.list_conversation_variables(app_model.id)
+        elif node_id == SYSTEM_VARIABLE_NODE_ID:
+            draft_vars = draft_var_srv.list_system_variables(app_model.id)
+        else:
+            draft_vars = draft_var_srv.list_node_variables(app_id=app_model.id, node_id=node_id)
+    return draft_vars
+
+
+class ConversationVariableCollectionApi(Resource):
+    @_api_prerequisite
+    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
+    def get(self, app_model: App):
+        # NOTE(QuantumGhost): Prefill conversation variables into the draft variables table
+        # so their IDs can be returned to the caller.
+        workflow_srv = WorkflowService()
+        draft_workflow = workflow_srv.get_draft_workflow(app_model)
+        if draft_workflow is None:
+            raise NotFoundError(description=f"draft workflow not found, id={app_model.id}")
+        draft_var_srv = WorkflowDraftVariableService(db.session())
+        draft_var_srv.prefill_conversation_variable_default_values(draft_workflow)
+        db.session.commit()
+        return _get_variable_list(app_model, CONVERSATION_VARIABLE_NODE_ID)
+
+
+class SystemVariableCollectionApi(Resource):
+    @_api_prerequisite
+    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
+    def get(self, app_model: App):
+        return _get_variable_list(app_model, SYSTEM_VARIABLE_NODE_ID)
+
+
+class EnvironmentVariableCollectionApi(Resource):
+    @_api_prerequisite
+    def get(self, app_model: App):
+        """
+        Get draft workflow
+        """
+        # fetch draft workflow by app_model
+        workflow_service = WorkflowService()
+        workflow = workflow_service.get_draft_workflow(app_model=app_model)
+        if workflow is None:
+            raise DraftWorkflowNotExist()
+
+        env_vars = workflow.environment_variables
+        env_vars_list = []
+        for v in env_vars:
+            env_vars_list.append(
+                {
+                    "id": v.id,
+                    "type": "env",
+                    "name": v.name,
+                    "description": v.description,
+                    "selector": v.selector,
+                    "value_type": v.value_type.value,
+                    "value": v.value,
+                    # Do not track edited for env vars.
+                    "edited": False,
+                    "visible": True,
+                    "editable": True,
+                }
+            )
+
+        return {"items": env_vars_list}
+
+
+api.add_resource(
+    WorkflowVariableCollectionApi,
+    "/apps/<uuid:app_id>/workflows/draft/variables",
+)
+api.add_resource(NodeVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/nodes/<string:node_id>/variables")
+api.add_resource(VariableApi, "/apps/<uuid:app_id>/workflows/draft/variables/<uuid:variable_id>")
+api.add_resource(VariableResetApi, "/apps/<uuid:app_id>/workflows/draft/variables/<uuid:variable_id>/reset")
+
+api.add_resource(ConversationVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/conversation-variables")
+api.add_resource(SystemVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/system-variables")
+api.add_resource(EnvironmentVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/environment-variables")
@@ -8,6 +8,15 @@ from libs.login import current_user
 from models import App, AppMode


+def _load_app_model(app_id: str) -> Optional[App]:
+    app_model = (
+        db.session.query(App)
+        .filter(App.id == app_id, App.tenant_id == current_user.current_tenant_id, App.status == "normal")
+        .first()
+    )
+    return app_model
+
+
 def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[AppMode], None] = None):
    def decorator(view_func):
        @wraps(view_func)
@@ -20,11 +29,7 @@ def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[

            del kwargs["app_id"]

-            app_model = (
-                db.session.query(App)
-                .filter(App.id == app_id, App.tenant_id == current_user.current_tenant_id, App.status == "normal")
-                .first()
-            )
+            app_model = _load_app_model(app_id)

            if not app_model:
                raise AppNotFoundError()
@@ -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
@@ -283,6 +283,15 @@ class DatasetApi(Resource):
            location="json",
            help="Invalid external knowledge api id.",
        )
+
+        parser.add_argument(
+            "icon_info",
+            type=dict,
+            required=False,
+            nullable=True,
+            location="json",
+            help="Invalid icon info.",
+        )
        args = parser.parse_args()
        data = request.get_json()

@@ -686,6 +695,7 @@ class DatasetRetrievalSettingApi(Resource):
                | VectorType.TABLESTORE
                | VectorType.HUAWEI_CLOUD
                | VectorType.TENCENT
+                | VectorType.MATRIXONE
            ):
                return {
                    "retrieval_method": [
@@ -733,6 +743,7 @@ class DatasetRetrievalSettingMockApi(Resource):
                | VectorType.TABLESTORE
                | VectorType.TENCENT
                | VectorType.HUAWEI_CLOUD
+                | VectorType.MATRIXONE
            ):
                return {
                    "retrieval_method": [
@@ -1,3 +1,4 @@
+import json
 import logging
 from argparse import ArgumentTypeError
 from datetime import UTC, datetime
@@ -5,7 +6,7 @@ from typing import cast

 from flask import request
 from flask_login import current_user
-from flask_restful import Resource, fields, marshal, marshal_with, reqparse
+from flask_restful import Resource, marshal, marshal_with, reqparse
 from sqlalchemy import asc, desc, select
 from werkzeug.exceptions import Forbidden, NotFound

@@ -43,7 +44,6 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError
 from core.plugin.impl.exc import PluginDaemonClientSideError
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
-from extensions.ext_redis import redis_client
 from fields.document_fields import (
    dataset_and_document_fields,
    document_fields,
@@ -52,10 +52,9 @@ from fields.document_fields import (
 )
 from libs.login import login_required
 from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile
+from models.dataset import DocumentPipelineExecutionLog
 from services.dataset_service import DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig
-from tasks.add_document_to_index_task import add_document_to_index_task
-from tasks.remove_document_from_index_task import remove_document_from_index_task


 class DocumentResource(Resource):
@@ -242,12 +241,10 @@ class DatasetDocumentListApi(Resource):

        return response

-    documents_and_batch_fields = {"documents": fields.List(fields.Nested(document_fields)), "batch": fields.String}
-
    @setup_required
    @login_required
    @account_initialization_required
-    @marshal_with(documents_and_batch_fields)
+    @marshal_with(dataset_and_document_fields)
    @cloud_edition_billing_resource_check("vector_space")
    @cloud_edition_billing_rate_limit_check("knowledge")
    def post(self, dataset_id):
@@ -293,6 +290,8 @@ class DatasetDocumentListApi(Resource):

        try:
            documents, batch = DocumentService.save_document_with_dataset_id(dataset, knowledge_config, current_user)
+            dataset = DatasetService.get_dataset(dataset_id)
+
        except ProviderTokenNotInitError as ex:
            raise ProviderNotInitializeError(ex.description)
        except QuotaExceededError:
@@ -300,7 +299,7 @@ class DatasetDocumentListApi(Resource):
        except ModelCurrentlyNotSupportError:
            raise ProviderModelCurrentlyNotSupportError()

-        return {"documents": documents, "batch": batch}
+        return {"dataset": dataset, "documents": documents, "batch": batch}

    @setup_required
    @login_required
@@ -664,7 +663,7 @@ class DocumentDetailApi(DocumentResource):
            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()
+            document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
            data_source_info = document.data_source_detail_dict
            response = {
                "id": document.id,
@@ -862,77 +861,16 @@ class DocumentStatusApi(DocumentResource):
        DatasetService.check_dataset_permission(dataset, current_user)

        document_ids = request.args.getlist("document_id")
-        for document_id in document_ids:
-            document = self.get_document(dataset_id, document_id)

-            indexing_cache_key = "document_{}_indexing".format(document.id)
-            cache_result = redis_client.get(indexing_cache_key)
-            if cache_result is not None:
-                raise InvalidActionError(f"Document:{document.name} is being indexed, please try again later")
+        try:
+            DocumentService.batch_update_document_status(dataset, document_ids, action, current_user)
+        except services.errors.document.DocumentIndexingError as e:
+            raise InvalidActionError(str(e))
+        except ValueError as e:
+            raise InvalidActionError(str(e))
+        except NotFound as e:
+            raise NotFound(str(e))

-            if action == "enable":
-                if document.enabled:
-                    continue
-                document.enabled = True
-                document.disabled_at = None
-                document.disabled_by = None
-                document.updated_at = datetime.now(UTC).replace(tzinfo=None)
-                db.session.commit()
-
-                # Set cache to prevent indexing the same document multiple times
-                redis_client.setex(indexing_cache_key, 600, 1)
-
-                add_document_to_index_task.delay(document_id)
-
-            elif action == "disable":
-                if not document.completed_at or document.indexing_status != "completed":
-                    raise InvalidActionError(f"Document: {document.name} is not completed.")
-                if not document.enabled:
-                    continue
-
-                document.enabled = False
-                document.disabled_at = datetime.now(UTC).replace(tzinfo=None)
-                document.disabled_by = current_user.id
-                document.updated_at = datetime.now(UTC).replace(tzinfo=None)
-                db.session.commit()
-
-                # Set cache to prevent indexing the same document multiple times
-                redis_client.setex(indexing_cache_key, 600, 1)
-
-                remove_document_from_index_task.delay(document_id)
-
-            elif action == "archive":
-                if document.archived:
-                    continue
-
-                document.archived = True
-                document.archived_at = datetime.now(UTC).replace(tzinfo=None)
-                document.archived_by = current_user.id
-                document.updated_at = datetime.now(UTC).replace(tzinfo=None)
-                db.session.commit()
-
-                if document.enabled:
-                    # Set cache to prevent indexing the same document multiple times
-                    redis_client.setex(indexing_cache_key, 600, 1)
-
-                    remove_document_from_index_task.delay(document_id)
-
-            elif action == "un_archive":
-                if not document.archived:
-                    continue
-                document.archived = False
-                document.archived_at = None
-                document.archived_by = None
-                document.updated_at = datetime.now(UTC).replace(tzinfo=None)
-                db.session.commit()
-
-                # Set cache to prevent indexing the same document multiple times
-                redis_client.setex(indexing_cache_key, 600, 1)
-
-                add_document_to_index_task.delay(document_id)
-
-            else:
-                raise InvalidActionError()
        return {"result": "success"}, 200


@@ -1092,6 +1030,41 @@ class WebsiteDocumentSyncApi(DocumentResource):
        return {"result": "success"}, 200


+class DocumentPipelineExecutionLogApi(DocumentResource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, dataset_id, document_id):
+        dataset_id = str(dataset_id)
+        document_id = str(document_id)
+
+        dataset = DatasetService.get_dataset(dataset_id)
+        if not dataset:
+            raise NotFound("Dataset not found.")
+        document = DocumentService.get_document(dataset.id, document_id)
+        if not document:
+            raise NotFound("Document not found.")
+        log = (
+            db.session.query(DocumentPipelineExecutionLog)
+            .filter_by(document_id=document_id)
+            .order_by(DocumentPipelineExecutionLog.created_at.desc())
+            .first()
+        )
+        if not log:
+            return {
+                "datasource_info": None,
+                "datasource_type": None,
+                "input_data": None,
+                "datasource_node_id": None,
+            }, 200
+        return {
+            "datasource_info": json.loads(log.datasource_info),
+            "datasource_type": log.datasource_type,
+            "input_data": log.input_data,
+            "datasource_node_id": log.datasource_node_id,
+        }, 200
+
+
 api.add_resource(GetProcessRuleApi, "/datasets/process-rule")
 api.add_resource(DatasetDocumentListApi, "/datasets/<uuid:dataset_id>/documents")
 api.add_resource(DatasetInitApi, "/datasets/init")
@@ -1114,3 +1087,6 @@ api.add_resource(DocumentRetryApi, "/datasets/<uuid:dataset_id>/retry")
 api.add_resource(DocumentRenameApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/rename")

 api.add_resource(WebsiteDocumentSyncApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/website-sync")
+api.add_resource(
+    DocumentPipelineExecutionLogApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/pipeline-execution-log"
+)
@@ -374,7 +374,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
        if len(request.files) > 1:
            raise TooManyFilesError()
        # check file type
-        if not file.filename or not file.filename.endswith(".csv"):
+        if not file.filename or not file.filename.lower().endswith(".csv"):
            raise ValueError("Invalid file type. Only CSV files are allowed")

        try:
@@ -101,3 +101,9 @@ class ChildChunkDeleteIndexError(BaseHTTPException):
    error_code = "child_chunk_delete_index_error"
    description = "Delete child chunk index failed: {message}"
    code = 500
+
+
+class PipelineNotFoundError(BaseHTTPException):
+    error_code = "pipeline_not_found"
+    description = "Pipeline not found."
+    code = 404
@@ -0,0 +1,197 @@
+from flask import redirect, request
+from flask_login import current_user  # type: ignore
+from flask_restful import (  # type: ignore
+    Resource,  # type: ignore
+    reqparse,
+)
+from werkzeug.exceptions import Forbidden, NotFound
+
+from configs import dify_config
+from controllers.console import api
+from controllers.console.wraps import (
+    account_initialization_required,
+    setup_required,
+)
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.plugin.impl.oauth import OAuthHandler
+from extensions.ext_database import db
+from libs.login import login_required
+from models.oauth import DatasourceOauthParamConfig, DatasourceProvider
+from services.datasource_provider_service import DatasourceProviderService
+
+
+class DatasourcePluginOauthApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("plugin_id", type=str, required=True, nullable=False, location="args")
+        args = parser.parse_args()
+        provider = args["provider"]
+        plugin_id = args["plugin_id"]
+        # Check user role first
+        if not current_user.is_editor:
+            raise Forbidden()
+        # get all plugin oauth configs
+        plugin_oauth_config = (
+            db.session.query(DatasourceOauthParamConfig).filter_by(provider=provider, plugin_id=plugin_id).first()
+        )
+        if not plugin_oauth_config:
+            raise NotFound()
+        oauth_handler = OAuthHandler()
+        redirect_url = (
+            f"{dify_config.CONSOLE_WEB_URL}/oauth/datasource/callback?provider={provider}&plugin_id={plugin_id}"
+        )
+        system_credentials = plugin_oauth_config.system_credentials
+        if system_credentials:
+            system_credentials["redirect_url"] = redirect_url
+        response = oauth_handler.get_authorization_url(
+            current_user.current_tenant.id, current_user.id, plugin_id, provider, system_credentials=system_credentials
+        )
+        return response.model_dump()
+
+
+class DatasourceOauthCallback(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("plugin_id", type=str, required=True, nullable=False, location="args")
+        args = parser.parse_args()
+        provider = args["provider"]
+        plugin_id = args["plugin_id"]
+        oauth_handler = OAuthHandler()
+        plugin_oauth_config = (
+            db.session.query(DatasourceOauthParamConfig).filter_by(provider=provider, plugin_id=plugin_id).first()
+        )
+        if not plugin_oauth_config:
+            raise NotFound()
+        credentials = oauth_handler.get_credentials(
+            current_user.current_tenant.id,
+            current_user.id,
+            plugin_id,
+            provider,
+            system_credentials=plugin_oauth_config.system_credentials,
+            request=request,
+        )
+        datasource_provider = DatasourceProvider(
+            plugin_id=plugin_id, provider=provider, auth_type="oauth", encrypted_credentials=credentials
+        )
+        db.session.add(datasource_provider)
+        db.session.commit()
+        return redirect(f"{dify_config.CONSOLE_WEB_URL}")
+
+
+class DatasourceAuth(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("name", type=str, required=False, nullable=False, location="json", default="test")
+        parser.add_argument("plugin_id", type=str, required=True, nullable=False, location="json")
+        parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+
+        datasource_provider_service = DatasourceProviderService()
+
+        try:
+            datasource_provider_service.datasource_provider_credentials_validate(
+                tenant_id=current_user.current_tenant_id,
+                provider=args["provider"],
+                plugin_id=args["plugin_id"],
+                credentials=args["credentials"],
+                name=args["name"],
+            )
+        except CredentialsValidateFailedError as ex:
+            raise ValueError(str(ex))
+
+        return {"result": "success"}, 201
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("plugin_id", type=str, required=True, nullable=False, location="args")
+        args = parser.parse_args()
+        datasource_provider_service = DatasourceProviderService()
+        datasources = datasource_provider_service.get_datasource_credentials(
+            tenant_id=current_user.current_tenant_id, provider=args["provider"], plugin_id=args["plugin_id"]
+        )
+        return {"result": datasources}, 200
+
+
+class DatasourceAuthUpdateDeleteApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, auth_id: str):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("plugin_id", type=str, required=True, nullable=False, location="args")
+        args = parser.parse_args()
+        if not current_user.is_editor:
+            raise Forbidden()
+        datasource_provider_service = DatasourceProviderService()
+        datasource_provider_service.remove_datasource_credentials(
+            tenant_id=current_user.current_tenant_id,
+            auth_id=auth_id,
+            provider=args["provider"],
+            plugin_id=args["plugin_id"],
+        )
+        return {"result": "success"}, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def patch(self, auth_id: str):
+        parser = reqparse.RequestParser()
+        parser.add_argument("provider", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("plugin_id", type=str, required=True, nullable=False, location="args")
+        parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
+        args = parser.parse_args()
+        if not current_user.is_editor:
+            raise Forbidden()
+        try:
+            datasource_provider_service = DatasourceProviderService()
+            datasource_provider_service.update_datasource_credentials(
+                tenant_id=current_user.current_tenant_id,
+                auth_id=auth_id,
+                provider=args["provider"],
+                plugin_id=args["plugin_id"],
+                credentials=args["credentials"],
+            )
+        except CredentialsValidateFailedError as ex:
+            raise ValueError(str(ex))
+
+        return {"result": "success"}, 201
+
+
+# Import Rag Pipeline
+api.add_resource(
+    DatasourcePluginOauthApi,
+    "/oauth/plugin/datasource",
+)
+api.add_resource(
+    DatasourceOauthCallback,
+    "/oauth/plugin/datasource/callback",
+)
+api.add_resource(
+    DatasourceAuth,
+    "/auth/plugin/datasource",
+)
+
+api.add_resource(
+    DatasourceAuthUpdateDeleteApi,
+    "/auth/plugin/datasource/<string:auth_id>",
+)
@@ -0,0 +1,55 @@
+from flask_restful import (  # type: ignore
+    Resource,  # type: ignore
+    reqparse,
+)
+from werkzeug.exceptions import Forbidden
+
+from controllers.console import api
+from controllers.console.datasets.wraps import get_rag_pipeline
+from controllers.console.wraps import account_initialization_required, setup_required
+from libs.login import current_user, login_required
+from models import Account
+from models.dataset import Pipeline
+from services.rag_pipeline.rag_pipeline import RagPipelineService
+
+
+class DataSourceContentPreviewApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_rag_pipeline
+    def post(self, pipeline: Pipeline, node_id: str):
+        """
+        Run datasource content preview
+        """
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
+        parser.add_argument("datasource_type", type=str, required=True, location="json")
+        args = parser.parse_args()
+
+        inputs = args.get("inputs")
+        if inputs is None:
+            raise ValueError("missing inputs")
+        datasource_type = args.get("datasource_type")
+        if datasource_type is None:
+            raise ValueError("missing datasource_type")
+
+        rag_pipeline_service = RagPipelineService()
+        preview_content = rag_pipeline_service.run_datasource_node_preview(
+            pipeline=pipeline,
+            node_id=node_id,
+            user_inputs=inputs,
+            account=current_user,
+            datasource_type=datasource_type,
+            is_published=True,
+        )
+        return preview_content, 200
+
+
+api.add_resource(
+    DataSourceContentPreviewApi,
+    "/rag/pipelines/<uuid:pipeline_id>/workflows/published/datasource/nodes/<string:node_id>/preview",
+)
@@ -0,0 +1,162 @@
+import logging
+
+from flask import request
+from flask_restful import Resource, reqparse
+from sqlalchemy.orm import Session
+
+from controllers.console import api
+from controllers.console.wraps import (
+    account_initialization_required,
+    enterprise_license_required,
+    setup_required,
+)
+from extensions.ext_database import db
+from libs.login import login_required
+from models.dataset import PipelineCustomizedTemplate
+from services.entities.knowledge_entities.rag_pipeline_entities import PipelineTemplateInfoEntity
+from services.rag_pipeline.rag_pipeline import RagPipelineService
+
+logger = logging.getLogger(__name__)
+
+
+def _validate_name(name):
+    if not name or len(name) < 1 or len(name) > 40:
+        raise ValueError("Name must be between 1 to 40 characters.")
+    return name
+
+
+def _validate_description_length(description):
+    if len(description) > 400:
+        raise ValueError("Description cannot exceed 400 characters.")
+    return description
+
+
+class PipelineTemplateListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @enterprise_license_required
+    def get(self):
+        type = request.args.get("type", default="built-in", type=str)
+        language = request.args.get("language", default="en-US", type=str)
+        # get pipeline templates
+        pipeline_templates = RagPipelineService.get_pipeline_templates(type, language)
+        return pipeline_templates, 200
+
+
+class PipelineTemplateDetailApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @enterprise_license_required
+    def get(self, template_id: str):
+        type = request.args.get("type", default="built-in", type=str)
+        rag_pipeline_service = RagPipelineService()
+        pipeline_template = rag_pipeline_service.get_pipeline_template_detail(template_id, type)
+        return pipeline_template, 200
+
+
+class CustomizedPipelineTemplateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @enterprise_license_required
+    def patch(self, template_id: str):
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="Name must be between 1 to 40 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument(
+            "description",
+            type=str,
+            nullable=True,
+            required=False,
+            default="",
+        )
+        parser.add_argument(
+            "icon_info",
+            type=dict,
+            location="json",
+            nullable=True,
+        )
+        args = parser.parse_args()
+        pipeline_template_info = PipelineTemplateInfoEntity(**args)
+        RagPipelineService.update_customized_pipeline_template(template_id, pipeline_template_info)
+        return 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @enterprise_license_required
+    def delete(self, template_id: str):
+        RagPipelineService.delete_customized_pipeline_template(template_id)
+        return 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @enterprise_license_required
+    def post(self, template_id: str):
+        with Session(db.engine) as session:
+            template = (
+                session.query(PipelineCustomizedTemplate).filter(PipelineCustomizedTemplate.id == template_id).first()
+            )
+            if not template:
+                raise ValueError("Customized pipeline template not found.")
+
+        return {"data": template.yaml_content}, 200
+
+
+class PublishCustomizedPipelineTemplateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @enterprise_license_required
+    def post(self, pipeline_id: str):
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="Name must be between 1 to 40 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument(
+            "description",
+            type=str,
+            nullable=True,
+            required=False,
+            default="",
+        )
+        parser.add_argument(
+            "icon_info",
+            type=dict,
+            location="json",
+            nullable=True,
+        )
+        args = parser.parse_args()
+        rag_pipeline_service = RagPipelineService()
+        rag_pipeline_service.publish_customized_pipeline_template(pipeline_id, args)
+        return {"result": "success"}
+
+
+api.add_resource(
+    PipelineTemplateListApi,
+    "/rag/pipeline/templates",
+)
+api.add_resource(
+    PipelineTemplateDetailApi,
+    "/rag/pipeline/templates/<string:template_id>",
+)
+api.add_resource(
+    CustomizedPipelineTemplateApi,
+    "/rag/pipeline/customized/templates/<string:template_id>",
+)
+api.add_resource(
+    PublishCustomizedPipelineTemplateApi,
+    "/rag/pipelines/<string:pipeline_id>/customized/publish",
+)
@@ -0,0 +1,171 @@
+from flask_login import current_user  # type: ignore  # type: ignore
+from flask_restful import Resource, marshal, reqparse  # type: ignore
+from werkzeug.exceptions import Forbidden
+
+import services
+from controllers.console import api
+from controllers.console.datasets.error import DatasetNameDuplicateError
+from controllers.console.wraps import (
+    account_initialization_required,
+    cloud_edition_billing_rate_limit_check,
+    setup_required,
+)
+from fields.dataset_fields import dataset_detail_fields
+from libs.login import login_required
+from models.dataset import DatasetPermissionEnum
+from services.dataset_service import DatasetPermissionService, DatasetService
+from services.entities.knowledge_entities.rag_pipeline_entities import RagPipelineDatasetCreateEntity
+from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
+
+
+def _validate_name(name):
+    if not name or len(name) < 1 or len(name) > 40:
+        raise ValueError("Name must be between 1 to 40 characters.")
+    return name
+
+
+def _validate_description_length(description):
+    if len(description) > 400:
+        raise ValueError("Description cannot exceed 400 characters.")
+    return description
+
+
+class CreateRagPipelineDatasetApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="type is required. Name must be between 1 to 40 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument(
+            "description",
+            type=str,
+            nullable=True,
+            required=False,
+            default="",
+        )
+
+        parser.add_argument(
+            "icon_info",
+            type=dict,
+            nullable=True,
+            required=False,
+            default={},
+        )
+
+        parser.add_argument(
+            "permission",
+            type=str,
+            choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM),
+            nullable=True,
+            required=False,
+            default=DatasetPermissionEnum.ONLY_ME,
+        )
+
+        parser.add_argument(
+            "partial_member_list",
+            type=list,
+            nullable=True,
+            required=False,
+            default=[],
+        )
+
+        parser.add_argument(
+            "yaml_content",
+            type=str,
+            nullable=False,
+            required=True,
+            help="yaml_content is required.",
+        )
+
+        args = parser.parse_args()
+
+        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
+        if not current_user.is_dataset_editor:
+            raise Forbidden()
+        rag_pipeline_dataset_create_entity = RagPipelineDatasetCreateEntity(**args)
+        try:
+            import_info = RagPipelineDslService.create_rag_pipeline_dataset(
+                tenant_id=current_user.current_tenant_id,
+                rag_pipeline_dataset_create_entity=rag_pipeline_dataset_create_entity,
+            )
+            if rag_pipeline_dataset_create_entity.permission == "partial_members":
+                DatasetPermissionService.update_partial_member_list(
+                    current_user.current_tenant_id,
+                    import_info["dataset_id"],
+                    rag_pipeline_dataset_create_entity.partial_member_list,
+                )
+        except services.errors.dataset.DatasetNameDuplicateError:
+            raise DatasetNameDuplicateError()
+
+        return import_info, 201
+
+
+class CreateEmptyRagPipelineDatasetApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
+    def post(self):
+        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
+        if not current_user.is_dataset_editor:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument(
+            "name",
+            nullable=False,
+            required=True,
+            help="type is required. Name must be between 1 to 40 characters.",
+            type=_validate_name,
+        )
+        parser.add_argument(
+            "description",
+            type=str,
+            nullable=True,
+            required=False,
+            default="",
+        )
+
+        parser.add_argument(
+            "icon_info",
+            type=dict,
+            nullable=True,
+            required=False,
+            default={},
+        )
+
+        parser.add_argument(
+            "permission",
+            type=str,
+            choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM),
+            nullable=True,
+            required=False,
+            default=DatasetPermissionEnum.ONLY_ME,
+        )
+
+        parser.add_argument(
+            "partial_member_list",
+            type=list,
+            nullable=True,
+            required=False,
+            default=[],
+        )
+
+        args = parser.parse_args()
+        dataset = DatasetService.create_empty_rag_pipeline_dataset(
+            tenant_id=current_user.current_tenant_id,
+            rag_pipeline_dataset_create_entity=RagPipelineDatasetCreateEntity(**args),
+        )
+        return marshal(dataset, dataset_detail_fields), 201
+
+
+api.add_resource(CreateRagPipelineDatasetApi, "/rag/pipeline/dataset")
+api.add_resource(CreateEmptyRagPipelineDatasetApi, "/rag/pipeline/empty-dataset")
@@ -0,0 +1,146 @@
+from typing import cast
+
+from flask_login import current_user  # type: ignore
+from flask_restful import Resource, marshal_with, reqparse  # type: ignore
+from sqlalchemy.orm import Session
+from werkzeug.exceptions import Forbidden
+
+from controllers.console import api
+from controllers.console.datasets.wraps import get_rag_pipeline
+from controllers.console.wraps import (
+    account_initialization_required,
+    setup_required,
+)
+from extensions.ext_database import db
+from fields.rag_pipeline_fields import pipeline_import_check_dependencies_fields, pipeline_import_fields
+from libs.login import login_required
+from models import Account
+from models.dataset import Pipeline
+from services.app_dsl_service import ImportStatus
+from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
+
+
+class RagPipelineImportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(pipeline_import_fields)
+    def post(self):
+        # Check user role first
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("mode", type=str, required=True, location="json")
+        parser.add_argument("yaml_content", type=str, location="json")
+        parser.add_argument("yaml_url", type=str, location="json")
+        parser.add_argument("name", type=str, location="json")
+        parser.add_argument("description", type=str, location="json")
+        parser.add_argument("icon_type", type=str, location="json")
+        parser.add_argument("icon", type=str, location="json")
+        parser.add_argument("icon_background", type=str, location="json")
+        parser.add_argument("pipeline_id", type=str, location="json")
+        args = parser.parse_args()
+
+        # Create service with session
+        with Session(db.engine) as session:
+            import_service = RagPipelineDslService(session)
+            # Import app
+            account = cast(Account, current_user)
+            result = import_service.import_rag_pipeline(
+                account=account,
+                import_mode=args["mode"],
+                yaml_content=args.get("yaml_content"),
+                yaml_url=args.get("yaml_url"),
+                pipeline_id=args.get("pipeline_id"),
+            )
+            session.commit()
+
+        # Return appropriate status code based on result
+        status = result.status
+        if status == ImportStatus.FAILED.value:
+            return result.model_dump(mode="json"), 400
+        elif status == ImportStatus.PENDING.value:
+            return result.model_dump(mode="json"), 202
+        return result.model_dump(mode="json"), 200
+
+
+class RagPipelineImportConfirmApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(pipeline_import_fields)
+    def post(self, import_id):
+        # Check user role first
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        # Create service with session
+        with Session(db.engine) as session:
+            import_service = RagPipelineDslService(session)
+            # Confirm import
+            account = cast(Account, current_user)
+            result = import_service.confirm_import(import_id=import_id, account=account)
+            session.commit()
+
+        # Return appropriate status code based on result
+        if result.status == ImportStatus.FAILED.value:
+            return result.model_dump(mode="json"), 400
+        return result.model_dump(mode="json"), 200
+
+
+class RagPipelineImportCheckDependenciesApi(Resource):
+    @setup_required
+    @login_required
+    @get_rag_pipeline
+    @account_initialization_required
+    @marshal_with(pipeline_import_check_dependencies_fields)
+    def get(self, pipeline: Pipeline):
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        with Session(db.engine) as session:
+            import_service = RagPipelineDslService(session)
+            result = import_service.check_dependencies(pipeline=pipeline)
+
+        return result.model_dump(mode="json"), 200
+
+
+class RagPipelineExportApi(Resource):
+    @setup_required
+    @login_required
+    @get_rag_pipeline
+    @account_initialization_required
+    def get(self, pipeline: Pipeline):
+        if not current_user.is_editor:
+            raise Forbidden()
+
+            # Add include_secret params
+        parser = reqparse.RequestParser()
+        parser.add_argument("include_secret", type=bool, default=False, location="args")
+        args = parser.parse_args()
+
+        with Session(db.engine) as session:
+            export_service = RagPipelineDslService(session)
+            result = export_service.export_rag_pipeline_dsl(pipeline=pipeline, include_secret=args["include_secret"])
+
+        return {"data": result}, 200
+
+
+# Import Rag Pipeline
+api.add_resource(
+    RagPipelineImportApi,
+    "/rag/pipelines/imports",
+)
+api.add_resource(
+    RagPipelineImportConfirmApi,
+    "/rag/pipelines/imports/<string:import_id>/confirm",
+)
+api.add_resource(
+    RagPipelineImportCheckDependenciesApi,
+    "/rag/pipelines/imports/<string:pipeline_id>/check-dependencies",
+)
+api.add_resource(
+    RagPipelineExportApi,
+    "/rag/pipelines/<string:pipeline_id>/exports",
+)
@@ -0,0 +1,43 @@
+from collections.abc import Callable
+from functools import wraps
+from typing import Optional
+
+from controllers.console.datasets.error import PipelineNotFoundError
+from extensions.ext_database import db
+from libs.login import current_user
+from models.dataset import Pipeline
+
+
+def get_rag_pipeline(
+    view: Optional[Callable] = None,
+):
+    def decorator(view_func):
+        @wraps(view_func)
+        def decorated_view(*args, **kwargs):
+            if not kwargs.get("pipeline_id"):
+                raise ValueError("missing pipeline_id in path parameters")
+
+            pipeline_id = kwargs.get("pipeline_id")
+            pipeline_id = str(pipeline_id)
+
+            del kwargs["pipeline_id"]
+
+            pipeline = (
+                db.session.query(Pipeline)
+                .filter(Pipeline.id == pipeline_id, Pipeline.tenant_id == current_user.current_tenant_id)
+                .first()
+            )
+
+            if not pipeline:
+                raise PipelineNotFoundError()
+
+            kwargs["pipeline"] = pipeline
+
+            return view_func(*args, **kwargs)
+
+        return decorated_view
+
+    if view is None:
+        return decorator
+    else:
+        return decorator(view)
@@ -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,
@@ -15,7 +15,7 @@ class LoadBalancingCredentialsValidateApi(Resource):
    @login_required
    @account_initialization_required
    def post(self, provider: str):
-        if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role):
+        if not TenantAccountRole.is_privileged_role(current_user.current_role):
            raise Forbidden()

        tenant_id = current_user.current_tenant_id
@@ -64,7 +64,7 @@ class LoadBalancingConfigCredentialsValidateApi(Resource):
    @login_required
    @account_initialization_required
    def post(self, provider: str, config_id: str):
-        if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role):
+        if not TenantAccountRole.is_privileged_role(current_user.current_role):
            raise Forbidden()

        tenant_id = current_user.current_tenant_id
@@ -85,6 +85,7 @@ class MemberInviteEmailApi(Resource):
        return {
            "result": "success",
            "invitation_results": invitation_results,
+            "tenant_id": str(current_user.current_tenant.id),
        }, 201


@@ -110,7 +111,7 @@ 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):
@@ -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")
@@ -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
@@ -291,6 +307,7 @@ 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")
@@ -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):
@@ -47,7 +47,13 @@ class AppInfoApi(Resource):
    def get(self, app_model: App):
        """Get app information"""
        tags = [tag.name for tag in app_model.tags]
-        return {"name": app_model.name, "description": app_model.description, "tags": tags, "mode": app_model.mode}
+        return {
+            "name": app_model.name,
+            "description": app_model.description,
+            "tags": tags,
+            "mode": app_model.mode,
+            "author_name": app_model.author_name,
+        }


 api.add_resource(AppParameterApi, "/parameters")
@@ -135,6 +135,20 @@ class WorkflowAppLogApi(Resource):
        parser.add_argument("status", type=str, choices=["succeeded", "failed", "stopped"], location="args")
        parser.add_argument("created_at__before", type=str, location="args")
        parser.add_argument("created_at__after", type=str, location="args")
+        parser.add_argument(
+            "created_by_end_user_session_id",
+            type=str,
+            location="args",
+            required=False,
+            default=None,
+        )
+        parser.add_argument(
+            "created_by_account",
+            type=str,
+            location="args",
+            required=False,
+            default=None,
+        )
        parser.add_argument("page", type=int_range(1, 99999), default=1, location="args")
        parser.add_argument("limit", type=int_range(1, 100), default=20, location="args")
        args = parser.parse_args()
@@ -158,6 +172,8 @@ class WorkflowAppLogApi(Resource):
                created_at_after=args.created_at__after,
                page=args.page,
                limit=args.limit,
+                created_by_end_user_session_id=args.created_by_end_user_session_id,
+                created_by_account=args.created_by_account,
            )

            return workflow_app_log_pagination
@@ -4,8 +4,12 @@ from werkzeug.exceptions import Forbidden, NotFound

 import services.dataset_service
 from controllers.service_api import api
-from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError
-from controllers.service_api.wraps import DatasetApiResource, validate_dataset_token
+from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError, InvalidActionError
+from controllers.service_api.wraps import (
+    DatasetApiResource,
+    cloud_edition_billing_rate_limit_check,
+    validate_dataset_token,
+)
 from core.model_runtime.entities.model_entities import ModelType
 from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
@@ -13,7 +17,7 @@ from fields.dataset_fields import dataset_detail_fields
 from fields.tag_fields import tag_fields
 from libs.login import current_user
 from models.dataset import Dataset, DatasetPermissionEnum
-from services.dataset_service import DatasetPermissionService, DatasetService
+from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
 from services.tag_service import TagService

@@ -70,6 +74,7 @@ class DatasetListApi(DatasetApiResource):
        response = {"data": data, "has_more": len(datasets) == limit, "limit": limit, "total": total, "page": page}
        return response, 200

+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id):
        """Resource for creating datasets."""
        parser = reqparse.RequestParser()
@@ -128,6 +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,
@@ -193,6 +214,7 @@ class DatasetApi(DatasetApiResource):

        return data, 200

+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def patch(self, _, dataset_id):
        dataset_id_str = str(dataset_id)
        dataset = DatasetService.get_dataset(dataset_id_str)
@@ -259,10 +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(
@@ -293,6 +325,7 @@ class DatasetApi(DatasetApiResource):

        return result_data, 200

+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def delete(self, _, dataset_id):
        """
        Deletes a dataset given its ID.
@@ -322,6 +355,56 @@ class DatasetApi(DatasetApiResource):
            raise DatasetInUseError()


+class DocumentStatusApi(DatasetApiResource):
+    """Resource for batch document status operations."""
+
+    def patch(self, tenant_id, dataset_id, action):
+        """
+        Batch update document status.
+
+        Args:
+            tenant_id: tenant id
+            dataset_id: dataset id
+            action: action to perform (enable, disable, archive, un_archive)
+
+        Returns:
+            dict: A dictionary with a key 'result' and a value 'success'
+            int: HTTP status code 200 indicating that the operation was successful.
+
+        Raises:
+            NotFound: If the dataset with the given ID does not exist.
+            Forbidden: If the user does not have permission.
+            InvalidActionError: If the action is invalid or cannot be performed.
+        """
+        dataset_id_str = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id_str)
+
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+
+        # Check user's permission
+        try:
+            DatasetService.check_dataset_permission(dataset, current_user)
+        except services.errors.account.NoPermissionError as e:
+            raise Forbidden(str(e))
+
+        # Check dataset model setting
+        DatasetService.check_dataset_model_setting(dataset)
+
+        # Get document IDs from request body
+        data = request.get_json()
+        document_ids = data.get("document_ids", [])
+
+        try:
+            DocumentService.batch_update_document_status(dataset, document_ids, action, current_user)
+        except services.errors.document.DocumentIndexingError as e:
+            raise InvalidActionError(str(e))
+        except ValueError as e:
+            raise InvalidActionError(str(e))
+
+        return {"result": "success"}, 200
+
+
 class DatasetTagsApi(DatasetApiResource):
    @validate_dataset_token
    @marshal_with(tag_fields)
@@ -450,6 +533,7 @@ class DatasetTagsBindingStatusApi(DatasetApiResource):

 api.add_resource(DatasetListApi, "/datasets")
 api.add_resource(DatasetApi, "/datasets/<uuid:dataset_id>")
+api.add_resource(DocumentStatusApi, "/datasets/<uuid:dataset_id>/documents/status/<string:action>")
 api.add_resource(DatasetTagsApi, "/datasets/tags")
 api.add_resource(DatasetTagBindingApi, "/datasets/tags/binding")
 api.add_resource(DatasetTagUnbindingApi, "/datasets/tags/unbinding")
@@ -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
@@ -18,14 +18,19 @@ from controllers.service_api.app.error import (
 from controllers.service_api.dataset.error import (
    ArchivedDocumentImmutableError,
    DocumentIndexingError,
+    InvalidMetadataError,
+)
+from controllers.service_api.wraps import (
+    DatasetApiResource,
+    cloud_edition_billing_rate_limit_check,
+    cloud_edition_billing_resource_check,
 )
-from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
 from core.errors.error import ProviderTokenNotInitError
 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

@@ -35,6 +40,7 @@ class DocumentAddByTextApi(DatasetApiResource):

    @cloud_edition_billing_resource_check("vector_space", "dataset")
    @cloud_edition_billing_resource_check("documents", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id):
        """Create document by text."""
        parser = reqparse.RequestParser()
@@ -54,6 +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()
@@ -69,6 +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",
@@ -99,6 +121,7 @@ class DocumentUpdateByTextApi(DatasetApiResource):
    """Resource for update documents."""

    @cloud_edition_billing_resource_check("vector_space", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id, document_id):
        """Update document by text."""
        parser = reqparse.RequestParser()
@@ -118,6 +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

@@ -158,6 +192,7 @@ class DocumentAddByFileApi(DatasetApiResource):

    @cloud_edition_billing_resource_check("vector_space", "dataset")
    @cloud_edition_billing_resource_check("documents", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id):
        """Create document by upload file."""
        args = {}
@@ -181,6 +216,21 @@ class DocumentAddByFileApi(DatasetApiResource):
            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
@@ -232,6 +282,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
    """Resource for update documents."""

    @cloud_edition_billing_resource_check("vector_space", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id, document_id):
        """Update document by upload file."""
        args = {}
@@ -302,6 +353,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):


 class DocumentDeleteApi(DatasetApiResource):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def delete(self, tenant_id, dataset_id, document_id):
        """Delete document."""
        document_id = str(document_id)
@@ -415,6 +467,101 @@ 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",
@@ -438,3 +585,4 @@ 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>")
@@ -1,9 +1,10 @@
 from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase
 from controllers.service_api import api
-from controllers.service_api.wraps import DatasetApiResource
+from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check


 class HitTestingApi(DatasetApiResource, DatasetsHitTestingBase):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id):
        dataset_id_str = str(dataset_id)

@@ -3,7 +3,7 @@ from flask_restful import marshal, reqparse
 from werkzeug.exceptions import NotFound

 from controllers.service_api import api
-from controllers.service_api.wraps import DatasetApiResource
+from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check
 from fields.dataset_fields import dataset_metadata_fields
 from services.dataset_service import DatasetService
 from services.entities.knowledge_entities.knowledge_entities import (
@@ -14,6 +14,7 @@ from services.metadata_service import MetadataService


 class DatasetMetadataCreateServiceApi(DatasetApiResource):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id):
        parser = reqparse.RequestParser()
        parser.add_argument("type", type=str, required=True, nullable=True, location="json")
@@ -39,6 +40,7 @@ class DatasetMetadataCreateServiceApi(DatasetApiResource):


 class DatasetMetadataServiceApi(DatasetApiResource):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def patch(self, tenant_id, dataset_id, metadata_id):
        parser = reqparse.RequestParser()
        parser.add_argument("name", type=str, required=True, nullable=True, location="json")
@@ -54,6 +56,7 @@ class DatasetMetadataServiceApi(DatasetApiResource):
        metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, args.get("name"))
        return marshal(metadata, dataset_metadata_fields), 200

+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def delete(self, tenant_id, dataset_id, metadata_id):
        dataset_id_str = str(dataset_id)
        metadata_id_str = str(metadata_id)
@@ -73,6 +76,7 @@ class DatasetMetadataBuiltInFieldServiceApi(DatasetApiResource):


 class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id, action):
        dataset_id_str = str(dataset_id)
        dataset = DatasetService.get_dataset(dataset_id_str)
@@ -88,6 +92,7 @@ class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource):


 class DocumentMetadataEditServiceApi(DatasetApiResource):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id):
        dataset_id_str = str(dataset_id)
        dataset = DatasetService.get_dataset(dataset_id_str)
@@ -8,6 +8,7 @@ from controllers.service_api.app.error import ProviderNotInitializeError
 from controllers.service_api.wraps import (
    DatasetApiResource,
    cloud_edition_billing_knowledge_limit_check,
+    cloud_edition_billing_rate_limit_check,
    cloud_edition_billing_resource_check,
 )
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
@@ -35,6 +36,7 @@ class SegmentApi(DatasetApiResource):

    @cloud_edition_billing_resource_check("vector_space", "dataset")
    @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id, document_id):
        """Create single segment."""
        # check dataset
@@ -139,6 +141,7 @@ class SegmentApi(DatasetApiResource):


 class DatasetSegmentApi(DatasetApiResource):
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def delete(self, tenant_id, dataset_id, document_id, segment_id):
        # check dataset
        dataset_id = str(dataset_id)
@@ -162,6 +165,7 @@ class DatasetSegmentApi(DatasetApiResource):
        return 204

    @cloud_edition_billing_resource_check("vector_space", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id, document_id, segment_id):
        # check dataset
        dataset_id = str(dataset_id)
@@ -236,6 +240,7 @@ class ChildChunkApi(DatasetApiResource):

    @cloud_edition_billing_resource_check("vector_space", "dataset")
    @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def post(self, tenant_id, dataset_id, document_id, segment_id):
        """Create child chunk."""
        # check dataset
@@ -332,6 +337,7 @@ class DatasetChildChunkApi(DatasetApiResource):
    """Resource for updating child chunks."""

    @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def delete(self, tenant_id, dataset_id, document_id, segment_id, child_chunk_id):
        """Delete child chunk."""
        # check dataset
@@ -370,6 +376,7 @@ class DatasetChildChunkApi(DatasetApiResource):

    @cloud_edition_billing_resource_check("vector_space", "dataset")
    @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
+    @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
    def patch(self, tenant_id, dataset_id, document_id, segment_id, child_chunk_id):
        """Update child chunk."""
        # check dataset
@@ -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,
        }


@@ -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
@@ -139,3 +139,13 @@ class InvokeRateLimitError(BaseHTTPException):
    error_code = "rate_limit_error"
    description = "Rate Limit Error"
    code = 429
+
+
+class NotFoundError(BaseHTTPException):
+    error_code = "not_found"
+    code = 404
+
+
+class InvalidArgumentError(BaseHTTPException):
+    error_code = "invalid_param"
+    code = 400
@@ -163,7 +163,7 @@ def exchange_token_for_existing_web_user(app_code: str, enterprise_user_decoded:
        )
        db.session.add(end_user)
        db.session.commit()
-    exp_dt = datetime.now(UTC) + timedelta(hours=dify_config.ACCESS_TOKEN_EXPIRE_MINUTES * 24)
+    exp_dt = datetime.now(UTC) + timedelta(minutes=dify_config.ACCESS_TOKEN_EXPIRE_MINUTES)
    exp = int(exp_dt.timestamp())
    payload = {
        "iss": site.id,
@@ -138,15 +138,12 @@ class DatasetConfigManager:
        if not config.get("dataset_configs"):
            config["dataset_configs"] = {"retrieval_model": "single"}

+        if not isinstance(config["dataset_configs"], dict):
+            raise ValueError("dataset_configs must be of object type")
+
        if not config["dataset_configs"].get("datasets"):
            config["dataset_configs"]["datasets"] = {"strategy": "router", "datasets": []}

-        if not isinstance(config["dataset_configs"], dict):
-            raise ValueError("dataset_configs must be of object type")
-
-        if not isinstance(config["dataset_configs"], dict):
-            raise ValueError("dataset_configs must be of object type")
-
        need_manual_query_datasets = config.get("dataset_configs") and config["dataset_configs"].get(
            "datasets", {}
        ).get("datasets")
@@ -104,6 +104,7 @@ class VariableEntity(BaseModel):
    Variable Entity.
    """

+    # `variable` records the name of the variable in user inputs.
    variable: str
    label: str
    description: str = ""
@@ -112,9 +113,9 @@ class VariableEntity(BaseModel):
    hide: bool = False
    max_length: Optional[int] = None
    options: Sequence[str] = Field(default_factory=list)
-    allowed_file_types: Sequence[FileType] = Field(default_factory=list)
-    allowed_file_extensions: Sequence[str] = Field(default_factory=list)
-    allowed_file_upload_methods: Sequence[FileTransferMethod] = Field(default_factory=list)
+    allowed_file_types: Optional[Sequence[FileType]] = Field(default_factory=list)
+    allowed_file_extensions: Optional[Sequence[str]] = Field(default_factory=list)
+    allowed_file_upload_methods: Optional[Sequence[FileTransferMethod]] = Field(default_factory=list)

    @field_validator("description", mode="before")
    @classmethod
@@ -127,6 +128,16 @@ class VariableEntity(BaseModel):
        return v or []


+class RagPipelineVariableEntity(VariableEntity):
+    """
+    Rag Pipeline Variable Entity.
+    """
+
+    tooltips: Optional[str] = None
+    placeholder: Optional[str] = None
+    belong_to_node_id: str
+
+
 class ExternalDataVariableEntity(BaseModel):
    """
    External Data Variable Entity.
@@ -284,7 +295,7 @@ class AppConfig(BaseModel):
    tenant_id: str
    app_id: str
    app_mode: AppMode
-    additional_features: AppAdditionalFeatures
+    additional_features: Optional[AppAdditionalFeatures] = None
    variables: list[VariableEntity] = []
    sensitive_word_avoidance: Optional[SensitiveWordAvoidanceEntity] = None

@@ -1,4 +1,4 @@
-from core.app.app_config.entities import VariableEntity
+from core.app.app_config.entities import RagPipelineVariableEntity, VariableEntity
 from models.workflow import Workflow


@@ -20,3 +20,19 @@ class WorkflowVariablesConfigManager:
            variables.append(VariableEntity.model_validate(variable))

        return variables
+
+    @classmethod
+    def convert_rag_pipeline_variable(cls, workflow: Workflow) -> list[RagPipelineVariableEntity]:
+        """
+        Convert workflow start variables to variables
+
+        :param workflow: workflow instance
+        """
+        variables = []
+
+        user_input_form = workflow.rag_pipeline_user_input_form()
+        # variables
+        for variable in user_input_form:
+            variables.append(RagPipelineVariableEntity.model_validate(variable))
+
+        return variables
@@ -5,7 +5,7 @@ import uuid
 from collections.abc import Generator, Mapping
 from typing import Any, Literal, Optional, Union, overload

-from flask import Flask, copy_current_request_context, current_app, has_request_context
+from flask import Flask, current_app
 from pydantic import ValidationError
 from sqlalchemy.orm import sessionmaker

@@ -27,14 +27,22 @@ 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.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
 from extensions.ext_database import db
 from factories import file_factory
+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,
+)

 logger = logging.getLogger(__name__)

@@ -115,6 +123,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            )

        # parse files
+        # TODO(QuantumGhost): Move file parsing logic to the API controller layer
+        # for better separation of concerns.
+        #
+        # For implementation reference, see the `_parse_file` function and
+        # `DraftWorkflowNodeRunApi` class which handle this properly.
        files = args["files"] if args.get("files") else []
        file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
        if file_extra_config:
@@ -260,6 +273,13 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            app_id=application_generate_entity.app_config.app_id,
            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
        )
+        var_loader = DraftVarLoader(
+            engine=db.engine,
+            app_id=application_generate_entity.app_config.app_id,
+            tenant_id=application_generate_entity.app_config.tenant_id,
+        )
+        draft_var_srv = WorkflowDraftVariableService(db.session())
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)

        return self._generate(
            workflow=workflow,
@@ -270,6 +290,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            workflow_node_execution_repository=workflow_node_execution_repository,
            conversation=None,
            stream=streaming,
+            variable_loader=var_loader,
        )

    def single_loop_generate(
@@ -335,6 +356,13 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            app_id=application_generate_entity.app_config.app_id,
            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
        )
+        var_loader = DraftVarLoader(
+            engine=db.engine,
+            app_id=application_generate_entity.app_config.app_id,
+            tenant_id=application_generate_entity.app_config.tenant_id,
+        )
+        draft_var_srv = WorkflowDraftVariableService(db.session())
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)

        return self._generate(
            workflow=workflow,
@@ -345,6 +373,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            workflow_node_execution_repository=workflow_node_execution_repository,
            conversation=None,
            stream=streaming,
+            variable_loader=var_loader,
        )

    def _generate(
@@ -358,6 +387,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
        workflow_node_execution_repository: WorkflowNodeExecutionRepository,
        conversation: Optional[Conversation] = None,
        stream: bool = True,
+        variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER,
    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
        """
        Generate App response.
@@ -366,6 +396,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
        :param user: account or end user
        :param invoke_from: invoke from source
        :param application_generate_entity: application generate entity
+        :param workflow_execution_repository: repository for workflow execution
        :param workflow_node_execution_repository: repository for workflow node execution
        :param conversation: conversation
        :param stream: is stream
@@ -399,20 +430,18 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
        # new thread with request context and contextvars
        context = contextvars.copy_context()

-        @copy_current_request_context
-        def worker_with_context():
-            # Run the worker within the copied context
-            return context.run(
-                self._generate_worker,
-                flask_app=current_app._get_current_object(),  # type: ignore
-                application_generate_entity=application_generate_entity,
-                queue_manager=queue_manager,
-                conversation_id=conversation.id,
-                message_id=message.id,
-                context=context,
-            )
-
-        worker_thread = threading.Thread(target=worker_with_context)
+        worker_thread = threading.Thread(
+            target=self._generate_worker,
+            kwargs={
+                "flask_app": current_app._get_current_object(),  # type: ignore
+                "application_generate_entity": application_generate_entity,
+                "queue_manager": queue_manager,
+                "conversation_id": conversation.id,
+                "message_id": message.id,
+                "context": context,
+                "variable_loader": variable_loader,
+            },
+        )

        worker_thread.start()

@@ -427,6 +456,7 @@ 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)
@@ -439,6 +469,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
        conversation_id: str,
        message_id: str,
        context: contextvars.Context,
+        variable_loader: VariableLoader,
    ) -> None:
        """
        Generate worker in a new thread.
@@ -449,29 +480,12 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
        :param message_id: message ID
        :return:
        """
-        for var, val in context.items():
-            var.set(val)

-        # FIXME(-LAN-): Save current user before entering new app context
-        from flask import g
-
-        saved_user = None
-        if has_request_context() and hasattr(g, "_login_user"):
-            saved_user = g._login_user
-
-        with flask_app.app_context():
+        with preserve_flask_contexts(flask_app, context_vars=context):
            try:
-                # Restore user in new app context
-                if saved_user is not None:
-                    from flask import g
-
-                    g._login_user = saved_user
-
                # 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(
@@ -480,6 +494,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
                    conversation=conversation,
                    message=message,
                    dialogue_count=self._dialogue_count,
+                    variable_loader=variable_loader,
                )

                runner.run()
@@ -513,6 +528,7 @@ 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]]:
        """
@@ -539,6 +555,7 @@ 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:
@@ -19,6 +19,7 @@ from core.moderation.base import ModerationError
 from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
+from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
 from models.enums import UserFrom
@@ -40,14 +41,17 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
        conversation: Conversation,
        message: Message,
        dialogue_count: int,
+        variable_loader: VariableLoader,
    ) -> None:
-        super().__init__(queue_manager)
-
+        super().__init__(queue_manager, variable_loader)
        self.application_generate_entity = application_generate_entity
        self.conversation = conversation
        self.message = message
        self._dialogue_count = dialogue_count

+    def _get_app_id(self) -> str:
+        return self.application_generate_entity.app_config.app_id
+
    def run(self) -> None:
        app_config = self.application_generate_entity.app_config
        app_config = cast(AdvancedChatAppConfig, app_config)
@@ -64,6 +64,7 @@ from core.workflow.entities.workflow_execution import WorkflowExecutionStatus, W
 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.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager
@@ -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,
@@ -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)
@@ -5,7 +5,7 @@ import uuid
 from collections.abc import Generator, Mapping
 from typing import Any, Literal, Union, overload

-from flask import Flask, copy_current_request_context, current_app, has_request_context
+from flask import Flask, current_app
 from pydantic import ValidationError

 from configs import dify_config
@@ -23,9 +23,9 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError
 from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 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__)

@@ -123,6 +123,11 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
            override_model_config_dict["retriever_resource"] = {"enabled": True}

        # parse files
+        # TODO(QuantumGhost): Move file parsing logic to the API controller layer
+        # for better separation of concerns.
+        #
+        # For implementation reference, see the `_parse_file` function and
+        # `DraftWorkflowNodeRunApi` class which handle this properly.
        files = args.get("files") or []
        file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_extra_config:
@@ -182,20 +187,17 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
        # new thread with request context and contextvars
        context = contextvars.copy_context()

-        @copy_current_request_context
-        def worker_with_context():
-            # Run the worker within the copied context
-            return context.run(
-                self._generate_worker,
-                flask_app=current_app._get_current_object(),  # type: ignore
-                context=context,
-                application_generate_entity=application_generate_entity,
-                queue_manager=queue_manager,
-                conversation_id=conversation.id,
-                message_id=message.id,
-            )
-
-        worker_thread = threading.Thread(target=worker_with_context)
+        worker_thread = threading.Thread(
+            target=self._generate_worker,
+            kwargs={
+                "flask_app": current_app._get_current_object(),  # type: ignore
+                "context": context,
+                "application_generate_entity": application_generate_entity,
+                "queue_manager": queue_manager,
+                "conversation_id": conversation.id,
+                "message_id": message.id,
+            },
+        )

        worker_thread.start()

@@ -229,29 +231,12 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
        :param message_id: message ID
        :return:
        """
-        for var, val in context.items():
-            var.set(val)

-        # FIXME(-LAN-): Save current user before entering new app context
-        from flask import g
-
-        saved_user = None
-        if has_request_context() and hasattr(g, "_login_user"):
-            saved_user = g._login_user
-
-        with flask_app.app_context():
+        with preserve_flask_contexts(flask_app, context_vars=context):
            try:
-                # Restore user in new app context
-                if saved_user is not None:
-                    from flask import g
-
-                    g._login_user = saved_user
-
                # 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()
@@ -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
@@ -1,3 +1,4 @@
+import logging
 import time
 from collections.abc import Generator, Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Optional, Union
@@ -33,6 +34,8 @@ from models.model import App, AppMode, Message, MessageAnnotation
 if TYPE_CHECKING:
    from core.file.models import File

+_logger = logging.getLogger(__name__)
+

 class AppRunner:
    def get_pre_calculate_rest_tokens(
@@ -298,7 +301,7 @@ class AppRunner:
        )

    def _handle_invoke_result_stream(
-        self, invoke_result: Generator, queue_manager: AppQueueManager, agent: bool
+        self, invoke_result: Generator[LLMResultChunk, None, None], queue_manager: AppQueueManager, agent: bool
    ) -> None:
        """
        Handle invoke result
@@ -317,18 +320,28 @@ class AppRunner:
            else:
                queue_manager.publish(QueueAgentMessageEvent(chunk=result), PublishFrom.APPLICATION_MANAGER)

-            text += result.delta.message.content
+            message = result.delta.message
+            if isinstance(message.content, str):
+                text += message.content
+            elif isinstance(message.content, list):
+                for content in message.content:
+                    if not isinstance(content, str):
+                        # TODO(QuantumGhost): Add multimodal output support for easy ui.
+                        _logger.warning("received multimodal output, type=%s", type(content))
+                        text += content.data
+                    else:
+                        text += content  # failback to str

            if not model:
                model = result.model

            if not prompt_messages:
-                prompt_messages = result.prompt_messages
+                prompt_messages = list(result.prompt_messages)

            if result.delta.usage:
                usage = result.delta.usage

-        if not usage:
+        if usage is None:
            usage = LLMUsage.empty_usage()

        llm_result = LLMResult(
@@ -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__)

@@ -115,6 +114,11 @@ class ChatAppGenerator(MessageBasedAppGenerator):
            override_model_config_dict["retriever_resource"] = {"enabled": True}

        # parse files
+        # TODO(QuantumGhost): Move file parsing logic to the API controller layer
+        # for better separation of concerns.
+        #
+        # For implementation reference, see the `_parse_file` function and
+        # `DraftWorkflowNodeRunApi` class which handle this properly.
        files = args["files"] if args.get("files") else []
        file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_extra_config:
@@ -219,8 +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()
@@ -43,11 +43,15 @@ from core.app.entities.task_entities import (
    WorkflowStartStreamResponse,
 )
 from core.file import FILE_MODEL_IDENTITY, File
+from core.plugin.impl.datasource import PluginDatasourceManager
 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
+from core.workflow.nodes.datasource.entities import DatasourceNodeData
 from core.workflow.nodes.tool.entities import ToolNodeData
+from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
 from models import (
    Account,
    CreatorUserRole,
@@ -125,7 +129,7 @@ class WorkflowResponseConverter:
                id=workflow_execution.id_,
                workflow_id=workflow_execution.workflow_id,
                status=workflow_execution.status,
-                outputs=workflow_execution.outputs,
+                outputs=WorkflowRuntimeTypeConverter().to_json_encodable(workflow_execution.outputs),
                error=workflow_execution.error_message,
                elapsed_time=workflow_execution.elapsed_time,
                total_tokens=workflow_execution.total_tokens,
@@ -181,6 +185,14 @@ class WorkflowResponseConverter:
                provider_type=node_data.provider_type,
                provider_id=node_data.provider_id,
            )
+        elif event.node_type == NodeType.DATASOURCE:
+            node_data = cast(DatasourceNodeData, event.node_data)
+            manager = PluginDatasourceManager()
+            provider_entity = manager.fetch_datasource_provider(
+                self._application_generate_entity.app_config.tenant_id,
+                f"{node_data.plugin_id}/{node_data.provider_name}",
+            )
+            response.data.extras["icon"] = provider_entity.declaration.identity.icon

        return response

@@ -202,6 +214,8 @@ class WorkflowResponseConverter:
        if not workflow_node_execution.finished_at:
            return None

+        json_converter = WorkflowRuntimeTypeConverter()
+
        return NodeFinishStreamResponse(
            task_id=task_id,
            workflow_run_id=workflow_node_execution.workflow_execution_id,
@@ -214,7 +228,7 @@ class WorkflowResponseConverter:
                predecessor_node_id=workflow_node_execution.predecessor_node_id,
                inputs=workflow_node_execution.inputs,
                process_data=workflow_node_execution.process_data,
-                outputs=workflow_node_execution.outputs,
+                outputs=json_converter.to_json_encodable(workflow_node_execution.outputs),
                status=workflow_node_execution.status,
                error=workflow_node_execution.error,
                elapsed_time=workflow_node_execution.elapsed_time,
@@ -245,6 +259,8 @@ class WorkflowResponseConverter:
        if not workflow_node_execution.finished_at:
            return None

+        json_converter = WorkflowRuntimeTypeConverter()
+
        return NodeRetryStreamResponse(
            task_id=task_id,
            workflow_run_id=workflow_node_execution.workflow_execution_id,
@@ -257,7 +273,7 @@ class WorkflowResponseConverter:
                predecessor_node_id=workflow_node_execution.predecessor_node_id,
                inputs=workflow_node_execution.inputs,
                process_data=workflow_node_execution.process_data,
-                outputs=workflow_node_execution.outputs,
+                outputs=json_converter.to_json_encodable(workflow_node_execution.outputs),
                status=workflow_node_execution.status,
                error=workflow_node_execution.error,
                elapsed_time=workflow_node_execution.elapsed_time,
@@ -376,6 +392,7 @@ class WorkflowResponseConverter:
        workflow_execution_id: str,
        event: QueueIterationCompletedEvent,
    ) -> IterationNodeCompletedStreamResponse:
+        json_converter = WorkflowRuntimeTypeConverter()
        return IterationNodeCompletedStreamResponse(
            task_id=task_id,
            workflow_run_id=workflow_execution_id,
@@ -384,7 +401,7 @@ class WorkflowResponseConverter:
                node_id=event.node_id,
                node_type=event.node_type.value,
                title=event.node_data.title,
-                outputs=event.outputs,
+                outputs=json_converter.to_json_encodable(event.outputs),
                created_at=int(time.time()),
                extras={},
                inputs=event.inputs or {},
@@ -463,7 +480,7 @@ class WorkflowResponseConverter:
                node_id=event.node_id,
                node_type=event.node_type.value,
                title=event.node_data.title,
-                outputs=event.outputs,
+                outputs=WorkflowRuntimeTypeConverter().to_json_encodable(event.outputs),
                created_at=int(time.time()),
                extras={},
                inputs=event.inputs or {},
@@ -500,7 +517,8 @@ 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
@@ -509,20 +527,30 @@ 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
@@ -101,6 +101,11 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
            )

        # parse files
+        # TODO(QuantumGhost): Move file parsing logic to the API controller layer
+        # for better separation of concerns.
+        #
+        # For implementation reference, see the `_parse_file` function and
+        # `DraftWorkflowNodeRunApi` class which handle this properly.
        files = args["files"] if args.get("files") else []
        file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_extra_config:
@@ -196,8 +201,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
            try:
                # get message
                message = self._get_message(message_id)
-                if message is None:
-                    raise MessageNotExistsError()

                # chatbot app
                runner = CompletionAppRunner()
@@ -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
@@ -0,0 +1,95 @@
+from collections.abc import Generator
+from typing import cast
+
+from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
+from core.app.entities.task_entities import (
+    AppStreamResponse,
+    ErrorStreamResponse,
+    NodeFinishStreamResponse,
+    NodeStartStreamResponse,
+    PingStreamResponse,
+    WorkflowAppBlockingResponse,
+    WorkflowAppStreamResponse,
+)
+
+
+class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
+    _blocking_response_type = WorkflowAppBlockingResponse
+
+    @classmethod
+    def convert_blocking_full_response(cls, blocking_response: WorkflowAppBlockingResponse) -> dict:  # type: ignore[override]
+        """
+        Convert blocking full response.
+        :param blocking_response: blocking response
+        :return:
+        """
+        return dict(blocking_response.to_dict())
+
+    @classmethod
+    def convert_blocking_simple_response(cls, blocking_response: WorkflowAppBlockingResponse) -> dict:  # type: ignore[override]
+        """
+        Convert blocking simple response.
+        :param blocking_response: blocking response
+        :return:
+        """
+        return cls.convert_blocking_full_response(blocking_response)
+
+    @classmethod
+    def convert_stream_full_response(
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
+        """
+        Convert stream full response.
+        :param stream_response: stream response
+        :return:
+        """
+        for chunk in stream_response:
+            chunk = cast(WorkflowAppStreamResponse, chunk)
+            sub_stream_response = chunk.stream_response
+
+            if isinstance(sub_stream_response, PingStreamResponse):
+                yield "ping"
+                continue
+
+            response_chunk = {
+                "event": sub_stream_response.event.value,
+                "workflow_run_id": chunk.workflow_run_id,
+            }
+
+            if isinstance(sub_stream_response, ErrorStreamResponse):
+                data = cls._error_to_stream_response(sub_stream_response.err)
+                response_chunk.update(data)
+            else:
+                response_chunk.update(sub_stream_response.to_dict())
+            yield response_chunk
+
+    @classmethod
+    def convert_stream_simple_response(
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
+        """
+        Convert stream simple response.
+        :param stream_response: stream response
+        :return:
+        """
+        for chunk in stream_response:
+            chunk = cast(WorkflowAppStreamResponse, chunk)
+            sub_stream_response = chunk.stream_response
+
+            if isinstance(sub_stream_response, PingStreamResponse):
+                yield "ping"
+                continue
+
+            response_chunk = {
+                "event": sub_stream_response.event.value,
+                "workflow_run_id": chunk.workflow_run_id,
+            }
+
+            if isinstance(sub_stream_response, ErrorStreamResponse):
+                data = cls._error_to_stream_response(sub_stream_response.err)
+                response_chunk.update(data)
+            elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
+                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
+            else:
+                response_chunk.update(sub_stream_response.to_dict())
+            yield response_chunk
@@ -0,0 +1,64 @@
+from core.app.app_config.base_app_config_manager import BaseAppConfigManager
+from core.app.app_config.common.sensitive_word_avoidance.manager import SensitiveWordAvoidanceConfigManager
+from core.app.app_config.entities import RagPipelineVariableEntity, WorkflowUIBasedAppConfig
+from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
+from core.app.app_config.features.text_to_speech.manager import TextToSpeechConfigManager
+from core.app.app_config.workflow_ui_based_app.variables.manager import WorkflowVariablesConfigManager
+from models.dataset import Pipeline
+from models.model import AppMode
+from models.workflow import Workflow
+
+
+class PipelineConfig(WorkflowUIBasedAppConfig):
+    """
+    Pipeline Config Entity.
+    """
+
+    rag_pipeline_variables: list[RagPipelineVariableEntity] = []
+    pass
+
+
+class PipelineConfigManager(BaseAppConfigManager):
+    @classmethod
+    def get_pipeline_config(cls, pipeline: Pipeline, workflow: Workflow) -> PipelineConfig:
+        pipeline_config = PipelineConfig(
+            tenant_id=pipeline.tenant_id,
+            app_id=pipeline.id,
+            app_mode=AppMode.RAG_PIPELINE,
+            workflow_id=workflow.id,
+            rag_pipeline_variables=WorkflowVariablesConfigManager.convert_rag_pipeline_variable(workflow=workflow),
+        )
+
+        return pipeline_config
+
+    @classmethod
+    def config_validate(cls, tenant_id: str, config: dict, only_structure_validate: bool = False) -> dict:
+        """
+        Validate for pipeline config
+
+        :param tenant_id: tenant id
+        :param config: app model config args
+        :param only_structure_validate: only validate the structure of the config
+        """
+        related_config_keys = []
+
+        # file upload validation
+        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
+        related_config_keys.extend(current_related_config_keys)
+
+        # text_to_speech
+        config, current_related_config_keys = TextToSpeechConfigManager.validate_and_set_defaults(config)
+        related_config_keys.extend(current_related_config_keys)
+
+        # moderation validation
+        config, current_related_config_keys = SensitiveWordAvoidanceConfigManager.validate_and_set_defaults(
+            tenant_id=tenant_id, config=config, only_structure_validate=only_structure_validate
+        )
+        related_config_keys.extend(current_related_config_keys)
+
+        related_config_keys = list(set(related_config_keys))
+
+        # Filter out extra parameters
+        filtered_config = {key: config.get(key) for key in related_config_keys}
+
+        return filtered_config
@@ -0,0 +1,621 @@
+import contextvars
+import datetime
+import json
+import logging
+import secrets
+import threading
+import time
+import uuid
+from collections.abc import Generator, Mapping
+from typing import Any, Literal, Optional, Union, overload
+
+from flask import Flask, current_app
+from pydantic import ValidationError
+from sqlalchemy.orm import sessionmaker
+
+import contexts
+from configs import dify_config
+from core.app.apps.base_app_generator import BaseAppGenerator
+from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedError, PublishFrom
+from core.app.apps.pipeline.pipeline_config_manager import PipelineConfigManager
+from core.app.apps.pipeline.pipeline_queue_manager import PipelineQueueManager
+from core.app.apps.pipeline.pipeline_runner import PipelineRunner
+from core.app.apps.workflow.generate_response_converter import WorkflowAppGenerateResponseConverter
+from core.app.apps.workflow.generate_task_pipeline import WorkflowAppGenerateTaskPipeline
+from core.app.entities.app_invoke_entities import InvokeFrom, RagPipelineGenerateEntity
+from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
+from core.entities.knowledge_entities import PipelineDataset, PipelineDocument
+from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.rag.index_processor.constant.built_in_field import BuiltInField
+from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
+from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
+from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
+from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
+from extensions.ext_database import db
+from libs.flask_utils import preserve_flask_contexts
+from models import Account, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom
+from models.dataset import Document, DocumentPipelineExecutionLog, Pipeline
+from models.enums import WorkflowRunTriggeredFrom
+from models.model import AppMode
+from services.dataset_service import DocumentService
+
+logger = logging.getLogger(__name__)
+
+
+class PipelineGenerator(BaseAppGenerator):
+    @overload
+    def generate(
+        self,
+        *,
+        pipeline: Pipeline,
+        workflow: Workflow,
+        user: Union[Account, EndUser],
+        args: Mapping[str, Any],
+        invoke_from: InvokeFrom,
+        streaming: Literal[True],
+        call_depth: int,
+        workflow_thread_pool_id: Optional[str],
+    ) -> Mapping[str, Any] | Generator[Mapping | str, None, None] | None: ...
+
+    @overload
+    def generate(
+        self,
+        *,
+        pipeline: Pipeline,
+        workflow: Workflow,
+        user: Union[Account, EndUser],
+        args: Mapping[str, Any],
+        invoke_from: InvokeFrom,
+        streaming: Literal[False],
+        call_depth: int,
+        workflow_thread_pool_id: Optional[str],
+    ) -> Mapping[str, Any]: ...
+
+    @overload
+    def generate(
+        self,
+        *,
+        pipeline: Pipeline,
+        workflow: Workflow,
+        user: Union[Account, EndUser],
+        args: Mapping[str, Any],
+        invoke_from: InvokeFrom,
+        streaming: bool,
+        call_depth: int,
+        workflow_thread_pool_id: Optional[str],
+    ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ...
+
+    def generate(
+        self,
+        *,
+        pipeline: Pipeline,
+        workflow: Workflow,
+        user: Union[Account, EndUser],
+        args: Mapping[str, Any],
+        invoke_from: InvokeFrom,
+        streaming: bool = True,
+        call_depth: int = 0,
+        workflow_thread_pool_id: Optional[str] = None,
+    ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None], None]:
+        # convert to app config
+        pipeline_config = PipelineConfigManager.get_pipeline_config(
+            pipeline=pipeline,
+            workflow=workflow,
+        )
+        # Add null check for dataset
+        dataset = pipeline.dataset
+        if not dataset:
+            raise ValueError("Pipeline dataset is required")
+        inputs: Mapping[str, Any] = args["inputs"]
+        start_node_id: str = args["start_node_id"]
+        datasource_type: str = args["datasource_type"]
+        datasource_info_list: list[Mapping[str, Any]] = args["datasource_info_list"]
+        batch = time.strftime("%Y%m%d%H%M%S") + str(secrets.randbelow(900000) + 100000)
+        documents = []
+        if invoke_from == InvokeFrom.PUBLISHED:
+            for datasource_info in datasource_info_list:
+                position = DocumentService.get_documents_position(dataset.id)
+                document = self._build_document(
+                    tenant_id=pipeline.tenant_id,
+                    dataset_id=dataset.id,
+                    built_in_field_enabled=dataset.built_in_field_enabled,
+                    datasource_type=datasource_type,
+                    datasource_info=datasource_info,
+                    created_from="rag-pipeline",
+                    position=position,
+                    account=user,
+                    batch=batch,
+                    document_form=dataset.chunk_structure,
+                )
+                db.session.add(document)
+                documents.append(document)
+            db.session.commit()
+
+        # run in child thread
+        for i, datasource_info in enumerate(datasource_info_list):
+            workflow_run_id = str(uuid.uuid4())
+            document_id = None
+            if invoke_from == InvokeFrom.PUBLISHED:
+                document_id = documents[i].id
+                document_pipeline_execution_log = DocumentPipelineExecutionLog(
+                    document_id=document_id,
+                    datasource_type=datasource_type,
+                    datasource_info=json.dumps(datasource_info),
+                    datasource_node_id=start_node_id,
+                    input_data=inputs,
+                    pipeline_id=pipeline.id,
+                    created_by=user.id,
+                )
+                db.session.add(document_pipeline_execution_log)
+                db.session.commit()
+            application_generate_entity = RagPipelineGenerateEntity(
+                task_id=str(uuid.uuid4()),
+                app_config=pipeline_config,
+                pipeline_config=pipeline_config,
+                datasource_type=datasource_type,
+                datasource_info=datasource_info,
+                dataset_id=dataset.id,
+                start_node_id=start_node_id,
+                batch=batch,
+                document_id=document_id,
+                inputs=self._prepare_user_inputs(
+                    user_inputs=inputs,
+                    variables=pipeline_config.rag_pipeline_variables,
+                    tenant_id=pipeline.tenant_id,
+                    strict_type_validation=True if invoke_from == InvokeFrom.SERVICE_API else False,
+                ),
+                files=[],
+                user_id=user.id,
+                stream=streaming,
+                invoke_from=invoke_from,
+                call_depth=call_depth,
+                workflow_execution_id=workflow_run_id,
+            )
+
+            contexts.plugin_tool_providers.set({})
+            contexts.plugin_tool_providers_lock.set(threading.Lock())
+            if invoke_from == InvokeFrom.DEBUGGER:
+                workflow_triggered_from = WorkflowRunTriggeredFrom.RAG_PIPELINE_DEBUGGING
+            else:
+                workflow_triggered_from = WorkflowRunTriggeredFrom.RAG_PIPELINE_RUN
+            # Create workflow node execution repository
+            session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
+            workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+                session_factory=session_factory,
+                user=user,
+                app_id=application_generate_entity.app_config.app_id,
+                triggered_from=workflow_triggered_from,
+            )
+
+            workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+                session_factory=session_factory,
+                user=user,
+                app_id=application_generate_entity.app_config.app_id,
+                triggered_from=WorkflowNodeExecutionTriggeredFrom.RAG_PIPELINE_RUN,
+            )
+            if invoke_from == InvokeFrom.DEBUGGER:
+                return self._generate(
+                    flask_app=current_app._get_current_object(),  # type: ignore
+                    context=contextvars.copy_context(),
+                    pipeline=pipeline,
+                    workflow_id=workflow.id,
+                    user=user,
+                    application_generate_entity=application_generate_entity,
+                    invoke_from=invoke_from,
+                    workflow_execution_repository=workflow_execution_repository,
+                    workflow_node_execution_repository=workflow_node_execution_repository,
+                    streaming=streaming,
+                    workflow_thread_pool_id=workflow_thread_pool_id,
+                )
+            else:
+                # run in child thread
+                context = contextvars.copy_context()
+
+                worker_thread = threading.Thread(
+                    target=self._generate,
+                    kwargs={
+                        "flask_app": current_app._get_current_object(),  # type: ignore
+                        "context": context,
+                        "pipeline": pipeline,
+                        "workflow_id": workflow.id,
+                        "user": user,
+                        "application_generate_entity": application_generate_entity,
+                        "invoke_from": invoke_from,
+                        "workflow_execution_repository": workflow_execution_repository,
+                        "workflow_node_execution_repository": workflow_node_execution_repository,
+                        "streaming": streaming,
+                        "workflow_thread_pool_id": workflow_thread_pool_id,
+                    },
+                )
+
+                worker_thread.start()
+        # return batch, dataset, documents
+        return {
+            "batch": batch,
+            "dataset": PipelineDataset(
+                id=dataset.id,
+                name=dataset.name,
+                description=dataset.description,
+                chunk_structure=dataset.chunk_structure,
+            ).model_dump(),
+            "documents": [
+                PipelineDocument(
+                    id=document.id,
+                    position=document.position,
+                    data_source_type=document.data_source_type,
+                    data_source_info=json.loads(document.data_source_info) if document.data_source_info else None,
+                    name=document.name,
+                    indexing_status=document.indexing_status,
+                    error=document.error,
+                    enabled=document.enabled,
+                ).model_dump()
+                for document in documents
+            ],
+        }
+
+    def _generate(
+        self,
+        *,
+        flask_app: Flask,
+        context: contextvars.Context,
+        pipeline: Pipeline,
+        workflow_id: str,
+        user: Union[Account, EndUser],
+        application_generate_entity: RagPipelineGenerateEntity,
+        invoke_from: InvokeFrom,
+        workflow_execution_repository: WorkflowExecutionRepository,
+        workflow_node_execution_repository: WorkflowNodeExecutionRepository,
+        streaming: bool = True,
+        workflow_thread_pool_id: Optional[str] = None,
+    ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
+        """
+        Generate App response.
+
+        :param pipeline: Pipeline
+        :param workflow: Workflow
+        :param user: account or end user
+        :param application_generate_entity: application generate entity
+        :param invoke_from: invoke from source
+        :param workflow_execution_repository: repository for workflow execution
+        :param workflow_node_execution_repository: repository for workflow node execution
+        :param streaming: is stream
+        :param workflow_thread_pool_id: workflow thread pool id
+        """
+        with preserve_flask_contexts(flask_app, context_vars=context):
+            # init queue manager
+            workflow = db.session.query(Workflow).filter(Workflow.id == workflow_id).first()
+            if not workflow:
+                raise ValueError(f"Workflow not found: {workflow_id}")
+            queue_manager = PipelineQueueManager(
+                task_id=application_generate_entity.task_id,
+                user_id=application_generate_entity.user_id,
+                invoke_from=application_generate_entity.invoke_from,
+                app_mode=AppMode.RAG_PIPELINE,
+            )
+            context = contextvars.copy_context()
+
+            # new thread
+            worker_thread = threading.Thread(
+                target=self._generate_worker,
+                kwargs={
+                    "flask_app": current_app._get_current_object(),  # type: ignore
+                    "context": context,
+                    "queue_manager": queue_manager,
+                    "application_generate_entity": application_generate_entity,
+                    "workflow_thread_pool_id": workflow_thread_pool_id,
+                },
+            )
+
+            worker_thread.start()
+
+            # return response or stream generator
+            response = self._handle_response(
+                application_generate_entity=application_generate_entity,
+                workflow=workflow,
+                queue_manager=queue_manager,
+                user=user,
+                workflow_execution_repository=workflow_execution_repository,
+                workflow_node_execution_repository=workflow_node_execution_repository,
+                stream=streaming,
+            )
+
+            return WorkflowAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from)
+
+    def single_iteration_generate(
+        self,
+        pipeline: Pipeline,
+        workflow: Workflow,
+        node_id: str,
+        user: Account | EndUser,
+        args: Mapping[str, Any],
+        streaming: bool = True,
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
+        """
+        Generate App response.
+
+        :param app_model: App
+        :param workflow: Workflow
+        :param node_id: the node id
+        :param user: account or end user
+        :param args: request args
+        :param streaming: is streamed
+        """
+        if not node_id:
+            raise ValueError("node_id is required")
+
+        if args.get("inputs") is None:
+            raise ValueError("inputs is required")
+
+        # convert to app config
+        pipeline_config = PipelineConfigManager.get_pipeline_config(pipeline=pipeline, workflow=workflow)
+
+        dataset = pipeline.dataset
+        if not dataset:
+            raise ValueError("Pipeline dataset is required")
+
+        # init application generate entity - use RagPipelineGenerateEntity instead
+        application_generate_entity = RagPipelineGenerateEntity(
+            task_id=str(uuid.uuid4()),
+            app_config=pipeline_config,
+            pipeline_config=pipeline_config,
+            datasource_type=args.get("datasource_type", ""),
+            datasource_info=args.get("datasource_info", {}),
+            dataset_id=dataset.id,
+            batch=args.get("batch", ""),
+            document_id=args.get("document_id"),
+            inputs={},
+            files=[],
+            user_id=user.id,
+            stream=streaming,
+            invoke_from=InvokeFrom.DEBUGGER,
+            call_depth=0,
+            workflow_execution_id=str(uuid.uuid4()),
+        )
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
+        # Create workflow node execution repository
+        session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
+
+        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+            session_factory=session_factory,
+            user=user,
+            app_id=application_generate_entity.app_config.app_id,
+            triggered_from=WorkflowRunTriggeredFrom.RAG_PIPELINE_DEBUGGING,
+        )
+
+        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+            session_factory=session_factory,
+            user=user,
+            app_id=application_generate_entity.app_config.app_id,
+            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
+        )
+
+        return self._generate(
+            flask_app=current_app._get_current_object(),  # type: ignore
+            pipeline=pipeline,
+            workflow_id=workflow.id,
+            user=user,
+            invoke_from=InvokeFrom.DEBUGGER,
+            application_generate_entity=application_generate_entity,
+            workflow_execution_repository=workflow_execution_repository,
+            workflow_node_execution_repository=workflow_node_execution_repository,
+            streaming=streaming,
+        )
+
+    def single_loop_generate(
+        self,
+        pipeline: Pipeline,
+        workflow: Workflow,
+        node_id: str,
+        user: Account | EndUser,
+        args: Mapping[str, Any],
+        streaming: bool = True,
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
+        """
+        Generate App response.
+
+        :param app_model: App
+        :param workflow: Workflow
+        :param node_id: the node id
+        :param user: account or end user
+        :param args: request args
+        :param streaming: is streamed
+        """
+        if not node_id:
+            raise ValueError("node_id is required")
+
+        if args.get("inputs") is None:
+            raise ValueError("inputs is required")
+
+        dataset = pipeline.dataset
+        if not dataset:
+            raise ValueError("Pipeline dataset is required")
+
+        # convert to app config
+        pipeline_config = PipelineConfigManager.get_pipeline_config(pipeline=pipeline, workflow=workflow)
+
+        # init application generate entity
+        application_generate_entity = RagPipelineGenerateEntity(
+            task_id=str(uuid.uuid4()),
+            app_config=pipeline_config,
+            pipeline_config=pipeline_config,
+            datasource_type=args.get("datasource_type", ""),
+            datasource_info=args.get("datasource_info", {}),
+            batch=args.get("batch", ""),
+            document_id=args.get("document_id"),
+            dataset_id=dataset.id,
+            inputs={},
+            files=[],
+            user_id=user.id,
+            stream=streaming,
+            invoke_from=InvokeFrom.DEBUGGER,
+            extras={"auto_generate_conversation_name": False},
+            single_loop_run=RagPipelineGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]),
+            workflow_execution_id=str(uuid.uuid4()),
+        )
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
+
+        # Create workflow node execution repository
+        session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
+
+        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
+            session_factory=session_factory,
+            user=user,
+            app_id=application_generate_entity.app_config.app_id,
+            triggered_from=WorkflowRunTriggeredFrom.RAG_PIPELINE_DEBUGGING,
+        )
+
+        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
+            session_factory=session_factory,
+            user=user,
+            app_id=application_generate_entity.app_config.app_id,
+            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
+        )
+
+        return self._generate(
+            flask_app=current_app._get_current_object(),  # type: ignore
+            pipeline=pipeline,
+            workflow=workflow,
+            user=user,
+            invoke_from=InvokeFrom.DEBUGGER,
+            application_generate_entity=application_generate_entity,
+            workflow_execution_repository=workflow_execution_repository,
+            workflow_node_execution_repository=workflow_node_execution_repository,
+            streaming=streaming,
+        )
+
+    def _generate_worker(
+        self,
+        flask_app: Flask,
+        application_generate_entity: RagPipelineGenerateEntity,
+        queue_manager: AppQueueManager,
+        context: contextvars.Context,
+        workflow_thread_pool_id: Optional[str] = None,
+    ) -> None:
+        """
+        Generate worker in a new thread.
+        :param flask_app: Flask app
+        :param application_generate_entity: application generate entity
+        :param queue_manager: queue manager
+        :param workflow_thread_pool_id: workflow thread pool id
+        :return:
+        """
+
+        with preserve_flask_contexts(flask_app, context_vars=context):
+            try:
+                # workflow app
+                runner = PipelineRunner(
+                    application_generate_entity=application_generate_entity,
+                    queue_manager=queue_manager,
+                    workflow_thread_pool_id=workflow_thread_pool_id,
+                )
+
+                runner.run()
+            except GenerateTaskStoppedError:
+                pass
+            except InvokeAuthorizationError:
+                queue_manager.publish_error(
+                    InvokeAuthorizationError("Incorrect API key provided"), PublishFrom.APPLICATION_MANAGER
+                )
+            except ValidationError as e:
+                logger.exception("Validation Error when generating")
+                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
+            except ValueError as e:
+                if dify_config.DEBUG:
+                    logger.exception("Error when generating")
+                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
+            except Exception as e:
+                logger.exception("Unknown Error when generating")
+                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
+            finally:
+                db.session.close()
+
+    def _handle_response(
+        self,
+        application_generate_entity: RagPipelineGenerateEntity,
+        workflow: Workflow,
+        queue_manager: AppQueueManager,
+        user: Union[Account, EndUser],
+        workflow_execution_repository: WorkflowExecutionRepository,
+        workflow_node_execution_repository: WorkflowNodeExecutionRepository,
+        stream: bool = False,
+    ) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
+        """
+        Handle response.
+        :param application_generate_entity: application generate entity
+        :param workflow: workflow
+        :param queue_manager: queue manager
+        :param user: account or end user
+        :param stream: is stream
+        :param workflow_node_execution_repository: optional repository for workflow node execution
+        :return:
+        """
+        # init generate task pipeline
+        generate_task_pipeline = WorkflowAppGenerateTaskPipeline(
+            application_generate_entity=application_generate_entity,
+            workflow=workflow,
+            queue_manager=queue_manager,
+            user=user,
+            stream=stream,
+            workflow_node_execution_repository=workflow_node_execution_repository,
+            workflow_execution_repository=workflow_execution_repository,
+        )
+
+        try:
+            return generate_task_pipeline.process()
+        except ValueError as e:
+            if len(e.args) > 0 and e.args[0] == "I/O operation on closed file.":  # ignore this error
+                raise GenerateTaskStoppedError()
+            else:
+                logger.exception(
+                    f"Fails to process generate task pipeline, task_id: {application_generate_entity.task_id}"
+                )
+                raise e
+
+    def _build_document(
+        self,
+        tenant_id: str,
+        dataset_id: str,
+        built_in_field_enabled: bool,
+        datasource_type: str,
+        datasource_info: Mapping[str, Any],
+        created_from: str,
+        position: int,
+        account: Union[Account, EndUser],
+        batch: str,
+        document_form: str,
+    ):
+        if datasource_type == "local_file":
+            name = datasource_info["name"]
+        elif datasource_type == "online_document":
+            name = datasource_info["page"]["page_name"]
+        elif datasource_type == "website_crawl":
+            name = datasource_info["title"]
+        else:
+            raise ValueError(f"Unsupported datasource type: {datasource_type}")
+
+        document = Document(
+            tenant_id=tenant_id,
+            dataset_id=dataset_id,
+            position=position,
+            data_source_type=datasource_type,
+            data_source_info=json.dumps(datasource_info),
+            batch=batch,
+            name=name,
+            created_from=created_from,
+            created_by=account.id,
+            doc_form=document_form,
+        )
+        doc_metadata = {}
+        if built_in_field_enabled:
+            doc_metadata = {
+                BuiltInField.document_name: name,
+                BuiltInField.uploader: account.name,
+                BuiltInField.upload_date: datetime.datetime.now(datetime.UTC).strftime("%Y-%m-%d %H:%M:%S"),
+                BuiltInField.last_update_date: datetime.datetime.now(datetime.UTC).strftime("%Y-%m-%d %H:%M:%S"),
+                BuiltInField.source: datasource_type,
+            }
+        if doc_metadata:
+            document.doc_metadata = doc_metadata
+        return document
@@ -0,0 +1,44 @@
+from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedError, PublishFrom
+from core.app.entities.app_invoke_entities import InvokeFrom
+from core.app.entities.queue_entities import (
+    AppQueueEvent,
+    QueueErrorEvent,
+    QueueMessageEndEvent,
+    QueueStopEvent,
+    QueueWorkflowFailedEvent,
+    QueueWorkflowPartialSuccessEvent,
+    QueueWorkflowSucceededEvent,
+    WorkflowQueueMessage,
+)
+
+
+class PipelineQueueManager(AppQueueManager):
+    def __init__(self, task_id: str, user_id: str, invoke_from: InvokeFrom, app_mode: str) -> None:
+        super().__init__(task_id, user_id, invoke_from)
+
+        self._app_mode = app_mode
+
+    def _publish(self, event: AppQueueEvent, pub_from: PublishFrom) -> None:
+        """
+        Publish event to queue
+        :param event:
+        :param pub_from:
+        :return:
+        """
+        message = WorkflowQueueMessage(task_id=self._task_id, app_mode=self._app_mode, event=event)
+
+        self._q.put(message)
+
+        if isinstance(
+            event,
+            QueueStopEvent
+            | QueueErrorEvent
+            | QueueMessageEndEvent
+            | QueueWorkflowSucceededEvent
+            | QueueWorkflowFailedEvent
+            | QueueWorkflowPartialSuccessEvent,
+        ):
+            self.stop_listen()
+
+        if pub_from == PublishFrom.APPLICATION_MANAGER and self._is_stopped():
+            raise GenerateTaskStoppedError()
@@ -0,0 +1,221 @@
+import logging
+from collections.abc import Mapping
+from typing import Any, Optional, cast
+
+from configs import dify_config
+from core.app.apps.base_app_queue_manager import AppQueueManager
+from core.app.apps.pipeline.pipeline_config_manager import PipelineConfig
+from core.app.apps.workflow_app_runner import WorkflowBasedAppRunner
+from core.app.entities.app_invoke_entities import (
+    InvokeFrom,
+    RagPipelineGenerateEntity,
+)
+from core.variables.variables import RAGPipelineVariable, RAGPipelineVariableInput
+from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
+from core.workflow.entities.variable_pool import VariablePool
+from core.workflow.enums import SystemVariableKey
+from core.workflow.graph_engine.entities.graph import Graph
+from core.workflow.workflow_entry import WorkflowEntry
+from extensions.ext_database import db
+from models.dataset import Pipeline
+from models.enums import UserFrom
+from models.model import EndUser
+from models.workflow import Workflow, WorkflowType
+
+logger = logging.getLogger(__name__)
+
+
+class PipelineRunner(WorkflowBasedAppRunner):
+    """
+    Pipeline Application Runner
+    """
+
+    def __init__(
+        self,
+        application_generate_entity: RagPipelineGenerateEntity,
+        queue_manager: AppQueueManager,
+        workflow_thread_pool_id: Optional[str] = None,
+    ) -> None:
+        """
+        :param application_generate_entity: application generate entity
+        :param queue_manager: application queue manager
+        :param workflow_thread_pool_id: workflow thread pool id
+        """
+        self.application_generate_entity = application_generate_entity
+        self.queue_manager = queue_manager
+        self.workflow_thread_pool_id = workflow_thread_pool_id
+
+    def _get_app_id(self) -> str:
+        return self.application_generate_entity.app_config.app_id
+
+    def run(self) -> None:
+        """
+        Run application
+        """
+        app_config = self.application_generate_entity.app_config
+        app_config = cast(PipelineConfig, app_config)
+
+        user_id = 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:
+                user_id = end_user.session_id
+        else:
+            user_id = self.application_generate_entity.user_id
+
+        pipeline = db.session.query(Pipeline).filter(Pipeline.id == app_config.app_id).first()
+        if not pipeline:
+            raise ValueError("Pipeline not found")
+
+        workflow = self.get_workflow(pipeline=pipeline, workflow_id=app_config.workflow_id)
+        if not workflow:
+            raise ValueError("Workflow not initialized")
+
+        db.session.close()
+
+        workflow_callbacks: list[WorkflowCallback] = []
+        if dify_config.DEBUG:
+            workflow_callbacks.append(WorkflowLoggingCallback())
+
+        # if only single iteration run is requested
+        if self.application_generate_entity.single_iteration_run:
+            # if only single iteration run is requested
+            graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
+                workflow=workflow,
+                node_id=self.application_generate_entity.single_iteration_run.node_id,
+                user_inputs=self.application_generate_entity.single_iteration_run.inputs,
+            )
+        elif self.application_generate_entity.single_loop_run:
+            # if only single loop run is requested
+            graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
+                workflow=workflow,
+                node_id=self.application_generate_entity.single_loop_run.node_id,
+                user_inputs=self.application_generate_entity.single_loop_run.inputs,
+            )
+        else:
+            inputs = self.application_generate_entity.inputs
+            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,
+                SystemVariableKey.DOCUMENT_ID: self.application_generate_entity.document_id,
+                SystemVariableKey.BATCH: self.application_generate_entity.batch,
+                SystemVariableKey.DATASET_ID: self.application_generate_entity.dataset_id,
+                SystemVariableKey.DATASOURCE_TYPE: self.application_generate_entity.datasource_type,
+                SystemVariableKey.DATASOURCE_INFO: self.application_generate_entity.datasource_info,
+                SystemVariableKey.INVOKE_FROM: self.application_generate_entity.invoke_from.value,
+            }
+            rag_pipeline_variables = []
+            if workflow.rag_pipeline_variables:
+                for v in workflow.rag_pipeline_variables:
+                    rag_pipeline_variable = RAGPipelineVariable(**v)
+                    if (
+                        rag_pipeline_variable.belong_to_node_id
+                        in (self.application_generate_entity.start_node_id, "shared")
+                    ) and rag_pipeline_variable.variable in inputs:
+                        rag_pipeline_variables.append(
+                            RAGPipelineVariableInput(
+                                variable=rag_pipeline_variable,
+                                value=inputs[rag_pipeline_variable.variable],
+                            )
+                        )
+
+            variable_pool = VariablePool(
+                system_variables=system_inputs,
+                user_inputs=inputs,
+                environment_variables=workflow.environment_variables,
+                conversation_variables=[],
+                rag_pipeline_variables=rag_pipeline_variables,
+            )
+
+            # init graph
+            graph = self._init_rag_pipeline_graph(
+                graph_config=workflow.graph_dict,
+                start_node_id=self.application_generate_entity.start_node_id,
+            )
+
+        # RUN WORKFLOW
+        workflow_entry = WorkflowEntry(
+            tenant_id=workflow.tenant_id,
+            app_id=workflow.app_id,
+            workflow_id=workflow.id,
+            workflow_type=WorkflowType.value_of(workflow.type),
+            graph=graph,
+            graph_config=workflow.graph_dict,
+            user_id=self.application_generate_entity.user_id,
+            user_from=(
+                UserFrom.ACCOUNT
+                if self.application_generate_entity.invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER}
+                else UserFrom.END_USER
+            ),
+            invoke_from=self.application_generate_entity.invoke_from,
+            call_depth=self.application_generate_entity.call_depth,
+            variable_pool=variable_pool,
+            thread_pool_id=self.workflow_thread_pool_id,
+        )
+
+        generator = workflow_entry.run(callbacks=workflow_callbacks)
+
+        for event in generator:
+            self._handle_event(workflow_entry, event)
+
+    def get_workflow(self, pipeline: Pipeline, workflow_id: str) -> Optional[Workflow]:
+        """
+        Get workflow
+        """
+        # fetch workflow by workflow_id
+        workflow = (
+            db.session.query(Workflow)
+            .filter(
+                Workflow.tenant_id == pipeline.tenant_id, Workflow.app_id == pipeline.id, Workflow.id == workflow_id
+            )
+            .first()
+        )
+
+        # return workflow
+        return workflow
+
+    def _init_rag_pipeline_graph(self, graph_config: Mapping[str, Any], start_node_id: Optional[str] = None) -> Graph:
+        """
+        Init pipeline graph
+        """
+        if "nodes" not in graph_config or "edges" not in graph_config:
+            raise ValueError("nodes or edges not found in workflow graph")
+
+        if not isinstance(graph_config.get("nodes"), list):
+            raise ValueError("nodes in workflow graph must be a list")
+
+        if not isinstance(graph_config.get("edges"), list):
+            raise ValueError("edges in workflow graph must be a list")
+        nodes = graph_config.get("nodes", [])
+        edges = graph_config.get("edges", [])
+        real_run_nodes = []
+        real_edges = []
+        exclude_node_ids = []
+        for node in nodes:
+            node_id = node.get("id")
+            node_type = node.get("data", {}).get("type", "")
+            if node_type == "datasource":
+                if start_node_id != node_id:
+                    exclude_node_ids.append(node_id)
+                    continue
+            real_run_nodes.append(node)
+        for edge in edges:
+            if edge.get("source") in exclude_node_ids:
+                continue
+            real_edges.append(edge)
+        graph_config = dict(graph_config)
+        graph_config["nodes"] = real_run_nodes
+        graph_config["edges"] = real_edges
+        # init graph
+        graph = Graph.init(graph_config=graph_config)
+
+        if not graph:
+            raise ValueError("graph not found in workflow")
+
+        return graph
@@ -5,7 +5,7 @@ import uuid
 from collections.abc import Generator, Mapping, Sequence
 from typing import Any, Literal, Optional, Union, overload

-from flask import Flask, copy_current_request_context, current_app, has_request_context
+from flask import Flask, current_app
 from pydantic import ValidationError
 from sqlalchemy.orm import sessionmaker

@@ -25,12 +25,16 @@ 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.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
 from extensions.ext_database import db
 from factories import file_factory
+from libs.flask_utils import preserve_flask_contexts
 from models import Account, App, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom
 from models.enums import WorkflowRunTriggeredFrom
+from services.workflow_draft_variable_service import DraftVarLoader, WorkflowDraftVariableService

 logger = logging.getLogger(__name__)

@@ -93,6 +97,11 @@ class WorkflowAppGenerator(BaseAppGenerator):
        files: Sequence[Mapping[str, Any]] = args.get("files") or []

        # parse files
+        # TODO(QuantumGhost): Move file parsing logic to the API controller layer
+        # for better separation of concerns.
+        #
+        # For implementation reference, see the `_parse_file` function and
+        # `DraftWorkflowNodeRunApi` class which handle this properly.
        file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
        system_files = file_factory.build_from_mappings(
            mappings=files,
@@ -185,6 +194,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
        workflow_node_execution_repository: WorkflowNodeExecutionRepository,
        streaming: bool = True,
        workflow_thread_pool_id: Optional[str] = None,
+        variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER,
    ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
        """
        Generate App response.
@@ -194,6 +204,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
        :param user: account or end user
        :param application_generate_entity: application generate entity
        :param invoke_from: invoke from source
+        :param workflow_execution_repository: repository for workflow execution
        :param workflow_node_execution_repository: repository for workflow node execution
        :param streaming: is stream
        :param workflow_thread_pool_id: workflow thread pool id
@@ -209,22 +220,27 @@ class WorkflowAppGenerator(BaseAppGenerator):
        # new thread with request context and contextvars
        context = contextvars.copy_context()

-        @copy_current_request_context
-        def worker_with_context():
-            # Run the worker within the copied context
-            return context.run(
-                self._generate_worker,
-                flask_app=current_app._get_current_object(),  # type: ignore
-                application_generate_entity=application_generate_entity,
-                queue_manager=queue_manager,
-                context=context,
-                workflow_thread_pool_id=workflow_thread_pool_id,
-            )
+        # release database connection, because the following new thread operations may take a long time
+        db.session.close()

-        worker_thread = threading.Thread(target=worker_with_context)
+        worker_thread = threading.Thread(
+            target=self._generate_worker,
+            kwargs={
+                "flask_app": current_app._get_current_object(),  # type: ignore
+                "application_generate_entity": application_generate_entity,
+                "queue_manager": queue_manager,
+                "context": context,
+                "workflow_thread_pool_id": workflow_thread_pool_id,
+                "variable_loader": variable_loader,
+            },
+        )

        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,
@@ -233,6 +249,7 @@ 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,
        )

@@ -304,6 +321,13 @@ class WorkflowAppGenerator(BaseAppGenerator):
            app_id=application_generate_entity.app_config.app_id,
            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
        )
+        draft_var_srv = WorkflowDraftVariableService(db.session())
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
+        var_loader = DraftVarLoader(
+            engine=db.engine,
+            app_id=application_generate_entity.app_config.app_id,
+            tenant_id=application_generate_entity.app_config.tenant_id,
+        )

        return self._generate(
            app_model=app_model,
@@ -314,6 +338,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
            workflow_execution_repository=workflow_execution_repository,
            workflow_node_execution_repository=workflow_node_execution_repository,
            streaming=streaming,
+            variable_loader=var_loader,
        )

    def single_loop_generate(
@@ -380,7 +405,13 @@ class WorkflowAppGenerator(BaseAppGenerator):
            app_id=application_generate_entity.app_config.app_id,
            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
        )
-
+        draft_var_srv = WorkflowDraftVariableService(db.session())
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
+        var_loader = DraftVarLoader(
+            engine=db.engine,
+            app_id=application_generate_entity.app_config.app_id,
+            tenant_id=application_generate_entity.app_config.tenant_id,
+        )
        return self._generate(
            app_model=app_model,
            workflow=workflow,
@@ -390,6 +421,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
            workflow_execution_repository=workflow_execution_repository,
            workflow_node_execution_repository=workflow_node_execution_repository,
            streaming=streaming,
+            variable_loader=var_loader,
        )

    def _generate_worker(
@@ -398,6 +430,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
        application_generate_entity: WorkflowAppGenerateEntity,
        queue_manager: AppQueueManager,
        context: contextvars.Context,
+        variable_loader: VariableLoader,
        workflow_thread_pool_id: Optional[str] = None,
    ) -> None:
        """
@@ -408,29 +441,15 @@ class WorkflowAppGenerator(BaseAppGenerator):
        :param workflow_thread_pool_id: workflow thread pool id
        :return:
        """
-        for var, val in context.items():
-            var.set(val)

-        # FIXME(-LAN-): Save current user before entering new app context
-        from flask import g
-
-        saved_user = None
-        if has_request_context() and hasattr(g, "_login_user"):
-            saved_user = g._login_user
-
-        with flask_app.app_context():
+        with preserve_flask_contexts(flask_app, context_vars=context):
            try:
-                # Restore user in new app context
-                if saved_user is not None:
-                    from flask import g
-
-                    g._login_user = saved_user
-
                # workflow app
                runner = WorkflowAppRunner(
                    application_generate_entity=application_generate_entity,
                    queue_manager=queue_manager,
                    workflow_thread_pool_id=workflow_thread_pool_id,
+                    variable_loader=variable_loader,
                )

                runner.run()
@@ -461,6 +480,7 @@ 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]]:
        """
@@ -481,6 +501,7 @@ 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,
        )

@@ -12,6 +12,7 @@ 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.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
 from models.enums import UserFrom
@@ -30,6 +31,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
        self,
        application_generate_entity: WorkflowAppGenerateEntity,
        queue_manager: AppQueueManager,
+        variable_loader: VariableLoader,
        workflow_thread_pool_id: Optional[str] = None,
    ) -> None:
        """
@@ -37,10 +39,13 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
        :param queue_manager: application queue manager
        :param workflow_thread_pool_id: workflow thread pool id
        """
+        super().__init__(queue_manager, variable_loader)
        self.application_generate_entity = application_generate_entity
-        self.queue_manager = queue_manager
        self.workflow_thread_pool_id = workflow_thread_pool_id

+    def _get_app_id(self) -> str:
+        return self.application_generate_entity.app_config.app_id
+
    def run(self) -> None:
        """
        Run application
@@ -56,6 +56,7 @@ 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.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager
@@ -87,6 +88,7 @@ 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,
@@ -131,6 +133,8 @@ 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 +326,8 @@ 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 +345,8 @@ 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
@@ -593,3 +601,15 @@ 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)
@@ -62,6 +62,7 @@ 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.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
@@ -69,8 +70,12 @@ from models.workflow import Workflow


 class WorkflowBasedAppRunner(AppRunner):
-    def __init__(self, queue_manager: AppQueueManager):
+    def __init__(self, queue_manager: AppQueueManager, variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER) -> None:
        self.queue_manager = queue_manager
+        self._variable_loader = variable_loader
+
+    def _get_app_id(self) -> str:
+        raise NotImplementedError("not implemented")

    def _init_graph(self, graph_config: Mapping[str, Any]) -> Graph:
        """
@@ -173,6 +178,13 @@ class WorkflowBasedAppRunner(AppRunner):
        except NotImplementedError:
            variable_mapping = {}

+        load_into_variable_pool(
+            variable_loader=self._variable_loader,
+            variable_pool=variable_pool,
+            variable_mapping=variable_mapping,
+            user_inputs=user_inputs,
+        )
+
        WorkflowEntry.mapping_user_inputs_to_variable_pool(
            variable_mapping=variable_mapping,
            user_inputs=user_inputs,
@@ -262,6 +274,12 @@ class WorkflowBasedAppRunner(AppRunner):
            )
        except NotImplementedError:
            variable_mapping = {}
+        load_into_variable_pool(
+            self._variable_loader,
+            variable_pool=variable_pool,
+            variable_mapping=variable_mapping,
+            user_inputs=user_inputs,
+        )

        WorkflowEntry.mapping_user_inputs_to_variable_pool(
            variable_mapping=variable_mapping,
@@ -376,6 +394,7 @@ class WorkflowBasedAppRunner(AppRunner):
                    in_loop_id=event.in_loop_id,
                )
            )
+
        elif isinstance(event, NodeRunFailedEvent):
            self._publish_event(
                QueueNodeFailedEvent(
@@ -438,6 +457,7 @@ class WorkflowBasedAppRunner(AppRunner):
                    in_loop_id=event.in_loop_id,
                )
            )
+
        elif isinstance(event, NodeInIterationFailedEvent):
            self._publish_event(
                QueueNodeInIterationFailedEvent(
@@ -17,10 +17,26 @@ class InvokeFrom(Enum):
    Invoke From.
    """

+    # SERVICE_API indicates that this invocation is from an API call to Dify app.
+    #
+    # Description of service api in Dify docs:
+    # https://docs.dify.ai/en/guides/application-publishing/developing-with-apis
    SERVICE_API = "service-api"
+
+    # WEB_APP indicates that this invocation is from
+    # the web app of the workflow (or chatflow).
+    #
+    # Description of web app in Dify docs:
+    # https://docs.dify.ai/en/guides/application-publishing/launch-your-webapp-quickly/README
    WEB_APP = "web-app"
+
+    # EXPLORE indicates that this invocation is from
+    # the workflow (or chatflow) explore page.
    EXPLORE = "explore"
+    # DEBUGGER indicates that this invocation is from
+    # the workflow (or chatflow) edit page.
    DEBUGGER = "debugger"
+    PUBLISHED = "published"

    @classmethod
    def value_of(cls, value: str):
@@ -225,3 +241,38 @@ class WorkflowAppGenerateEntity(AppGenerateEntity):
        inputs: dict

    single_loop_run: Optional[SingleLoopRunEntity] = None
+
+
+class RagPipelineGenerateEntity(WorkflowAppGenerateEntity):
+    """
+    RAG Pipeline Application Generate Entity.
+    """
+
+    # pipeline config
+    pipeline_config: WorkflowUIBasedAppConfig
+    datasource_type: str
+    datasource_info: Mapping[str, Any]
+    dataset_id: str
+    batch: str
+    document_id: Optional[str] = None
+    start_node_id: Optional[str] = None
+
+    class SingleIterationRunEntity(BaseModel):
+        """
+        Single Iteration Run Entity.
+        """
+
+        node_id: str
+        inputs: dict
+
+    single_iteration_run: Optional[SingleIterationRunEntity] = None
+
+    class SingleLoopRunEntity(BaseModel):
+        """
+        Single Loop Run Entity.
+        """
+
+        node_id: str
+        inputs: dict
+
+    single_loop_run: Optional[SingleLoopRunEntity] = None
@@ -48,6 +48,7 @@ from core.model_manager import ModelInstance
 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
 from core.model_runtime.entities.message_entities import (
    AssistantPromptMessage,
+    TextPromptMessageContent,
 )
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.ops.entities.trace_entity import TraceTaskName
@@ -309,6 +310,23 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
                delta_text = chunk.delta.message.content
                if delta_text is None:
                    continue
+                if isinstance(chunk.delta.message.content, list):
+                    delta_text = ""
+                    for content in chunk.delta.message.content:
+                        logger.debug(
+                            "The content type %s in LLM chunk delta message content.: %r", type(content), content
+                        )
+                        if isinstance(content, TextPromptMessageContent):
+                            delta_text += content.data
+                        elif isinstance(content, str):
+                            delta_text += content  # failback to str
+                        else:
+                            logger.warning(
+                                "Unsupported content type %s in LLM chunk delta message content.: %r",
+                                type(content),
+                                content,
+                            )
+                            continue

                if not self._task_state.llm_result.prompt_messages:
                    self._task_state.llm_result.prompt_messages = chunk.prompt_messages
@@ -377,6 +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:
@@ -105,6 +105,14 @@ class DifyAgentCallbackHandler(BaseModel):

        self.current_loop += 1

+    def on_datasource_start(self, datasource_name: str, datasource_inputs: Mapping[str, Any]) -> None:
+        """Run on datasource start."""
+        if dify_config.DEBUG:
+            print_text(
+                "\n[on_datasource_start] DatasourceCall:" + datasource_name + "\n" + str(datasource_inputs) + "\n",
+                color=self.color,
+            )
+
    @property
    def ignore_agent(self) -> bool:
        """Whether to ignore agent callbacks."""
@@ -0,0 +1,33 @@
+from abc import ABC, abstractmethod
+
+from core.datasource.__base.datasource_runtime import DatasourceRuntime
+from core.datasource.entities.datasource_entities import (
+    DatasourceEntity,
+    DatasourceProviderType,
+)
+
+
+class DatasourcePlugin(ABC):
+    entity: DatasourceEntity
+    runtime: DatasourceRuntime
+
+    def __init__(
+        self,
+        entity: DatasourceEntity,
+        runtime: DatasourceRuntime,
+    ) -> None:
+        self.entity = entity
+        self.runtime = runtime
+
+    @abstractmethod
+    def datasource_provider_type(self) -> str:
+        """
+        returns the type of the datasource provider
+        """
+        return DatasourceProviderType.LOCAL_FILE
+
+    def fork_datasource_runtime(self, runtime: DatasourceRuntime) -> "DatasourcePlugin":
+        return self.__class__(
+            entity=self.entity.model_copy(),
+            runtime=runtime,
+        )
@@ -0,0 +1,118 @@
+from abc import ABC, abstractmethod
+from typing import Any
+
+from core.datasource.__base.datasource_plugin import DatasourcePlugin
+from core.datasource.entities.datasource_entities import DatasourceProviderEntityWithPlugin, DatasourceProviderType
+from core.entities.provider_entities import ProviderConfig
+from core.plugin.impl.tool import PluginToolManager
+from core.tools.errors import ToolProviderCredentialValidationError
+
+
+class DatasourcePluginProviderController(ABC):
+    entity: DatasourceProviderEntityWithPlugin
+    tenant_id: str
+
+    def __init__(self, entity: DatasourceProviderEntityWithPlugin, tenant_id: str) -> None:
+        self.entity = entity
+        self.tenant_id = tenant_id
+
+    @property
+    def need_credentials(self) -> bool:
+        """
+        returns whether the provider needs credentials
+
+        :return: whether the provider needs credentials
+        """
+        return self.entity.credentials_schema is not None and len(self.entity.credentials_schema) != 0
+
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        """
+        validate the credentials of the provider
+        """
+        manager = PluginToolManager()
+        if not manager.validate_datasource_credentials(
+            tenant_id=self.tenant_id,
+            user_id=user_id,
+            provider=self.entity.identity.name,
+            credentials=credentials,
+        ):
+            raise ToolProviderCredentialValidationError("Invalid credentials")
+
+    @property
+    def provider_type(self) -> DatasourceProviderType:
+        """
+        returns the type of the provider
+        """
+        return DatasourceProviderType.LOCAL_FILE
+
+    @abstractmethod
+    def get_datasource(self, datasource_name: str) -> DatasourcePlugin:
+        """
+        return datasource with given name
+        """
+        pass
+
+    def validate_credentials_format(self, credentials: dict[str, Any]) -> None:
+        """
+        validate the format of the credentials of the provider and set the default value if needed
+
+        :param credentials: the credentials of the tool
+        """
+        credentials_schema = dict[str, ProviderConfig]()
+        if credentials_schema is None:
+            return
+
+        for credential in self.entity.credentials_schema:
+            credentials_schema[credential.name] = credential
+
+        credentials_need_to_validate: dict[str, ProviderConfig] = {}
+        for credential_name in credentials_schema:
+            credentials_need_to_validate[credential_name] = credentials_schema[credential_name]
+
+        for credential_name in credentials:
+            if credential_name not in credentials_need_to_validate:
+                raise ToolProviderCredentialValidationError(
+                    f"credential {credential_name} not found in provider {self.entity.identity.name}"
+                )
+
+            # check type
+            credential_schema = credentials_need_to_validate[credential_name]
+            if not credential_schema.required and credentials[credential_name] is None:
+                continue
+
+            if credential_schema.type in {ProviderConfig.Type.SECRET_INPUT, ProviderConfig.Type.TEXT_INPUT}:
+                if not isinstance(credentials[credential_name], str):
+                    raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
+
+            elif credential_schema.type == ProviderConfig.Type.SELECT:
+                if not isinstance(credentials[credential_name], str):
+                    raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
+
+                options = credential_schema.options
+                if not isinstance(options, list):
+                    raise ToolProviderCredentialValidationError(f"credential {credential_name} options should be list")
+
+                if credentials[credential_name] not in [x.value for x in options]:
+                    raise ToolProviderCredentialValidationError(
+                        f"credential {credential_name} should be one of {options}"
+                    )
+
+            credentials_need_to_validate.pop(credential_name)
+
+        for credential_name in credentials_need_to_validate:
+            credential_schema = credentials_need_to_validate[credential_name]
+            if credential_schema.required:
+                raise ToolProviderCredentialValidationError(f"credential {credential_name} is required")
+
+            # the credential is not set currently, set the default value if needed
+            if credential_schema.default is not None:
+                default_value = credential_schema.default
+                # parse default value into the correct type
+                if credential_schema.type in {
+                    ProviderConfig.Type.SECRET_INPUT,
+                    ProviderConfig.Type.TEXT_INPUT,
+                    ProviderConfig.Type.SELECT,
+                }:
+                    default_value = str(default_value)
+
+                credentials[credential_name] = default_value
@@ -0,0 +1,36 @@
+from typing import Any, Optional
+
+from openai import BaseModel
+from pydantic import Field
+
+from core.app.entities.app_invoke_entities import InvokeFrom
+from core.datasource.entities.datasource_entities import DatasourceInvokeFrom
+
+
+class DatasourceRuntime(BaseModel):
+    """
+    Meta data of a datasource call processing
+    """
+
+    tenant_id: str
+    datasource_id: Optional[str] = None
+    invoke_from: Optional[InvokeFrom] = None
+    datasource_invoke_from: Optional[DatasourceInvokeFrom] = None
+    credentials: dict[str, Any] = Field(default_factory=dict)
+    runtime_parameters: dict[str, Any] = Field(default_factory=dict)
+
+
+class FakeDatasourceRuntime(DatasourceRuntime):
+    """
+    Fake datasource runtime for testing
+    """
+
+    def __init__(self):
+        super().__init__(
+            tenant_id="fake_tenant_id",
+            datasource_id="fake_datasource_id",
+            invoke_from=InvokeFrom.DEBUGGER,
+            datasource_invoke_from=DatasourceInvokeFrom.RAG_PIPELINE,
+            credentials={},
+            runtime_parameters={},
+        )
--- a/Show More
+++ b/Show More