fix: remove unused fields

fix: mypy static type checking issues
Merge branch 'main' into feat/retry-single-step-debug
2026-02-05 23:53:58 +00:00 · 2024-12-26 14:51:33 +08:00 · 2024-12-26 09:04:29 +08:00 · 2024-12-26 08:56:24 +08:00 · 2024-12-25 10:40:02 +08:00 · 2024-12-25 10:38:54 +08:00
985 changed files with 8984 additions and 26069 deletions
--- a/.github/actions/setup-poetry/action.yml
+++ b/.github/actions/setup-poetry/action.yml
@@ -8,7 +8,7 @@ inputs:
  poetry-version:
    description: Poetry version to set up
    required: true
-    default: '2.0.1'
+    default: '1.8.4'
  poetry-lockfile:
    description: Path to the Poetry lockfile to restore cache from
    required: true
--- a/.github/workflows/api-tests.yml
+++ b/.github/workflows/api-tests.yml
@@ -42,23 +42,25 @@ jobs:
        run: poetry install -C api --with dev

      - name: Check dependencies in pyproject.toml
-        run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
+        run: poetry run -C api bash dev/pytest/pytest_artifacts.sh

      - name: Run Unit tests
-        run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
+        run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh

      - name: Run ModelRuntime
-        run: poetry run -P api bash dev/pytest/pytest_model_runtime.sh
+        run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh

      - name: Run dify config tests
-        run: poetry run -P api python dev/pytest/pytest_config_tests.py
+        run: poetry run -C api python dev/pytest/pytest_config_tests.py

      - name: Run Tool
-        run: poetry run -P api bash dev/pytest/pytest_tools.sh
+        run: poetry run -C api bash dev/pytest/pytest_tools.sh

      - name: Run mypy
        run: |
-          poetry run -C api python -m mypy --install-types --non-interactive .
+          pushd api
+          poetry run python -m mypy --install-types --non-interactive .
+          popd

      - name: Set up dotenvs
        run: |
@@ -78,4 +80,4 @@ jobs:
            ssrf_proxy

      - name: Run Workflow
-        run: poetry run -P api bash dev/pytest/pytest_workflow.sh
+        run: poetry run -C api bash dev/pytest/pytest_workflow.sh
--- a/.github/workflows/build-push.yml
+++ b/.github/workflows/build-push.yml
@@ -5,8 +5,8 @@ on:
    branches:
      - "main"
      - "deploy/dev"
-    tags:
-      - "*"
+  release:
+    types: [published]

 concurrency:
  group: build-push-${{ github.head_ref || github.run_id }}
--- a/.github/workflows/docker-build.yml
+++ b/.github/workflows/docker-build.yml
@@ -1,47 +0,0 @@
-name: Build docker image
-
-on:
-  pull_request:
-    branches:
-      - "main"
-    paths:
-      - api/Dockerfile
-      - web/Dockerfile
-
-concurrency:
-  group: docker-build-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  build-docker:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - service_name: "api-amd64"
-            platform: linux/amd64
-            context: "api"
-          - service_name: "api-arm64"
-            platform: linux/arm64
-            context: "api"
-          - service_name: "web-amd64"
-            platform: linux/amd64
-            context: "web"
-          - service_name: "web-arm64"
-            platform: linux/arm64
-            context: "web"
-    steps:
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Build Docker Image
-        uses: docker/build-push-action@v6
-        with:
-          push: false
-          context: "{{defaultContext}}:${{ matrix.context }}"
-          platforms: ${{ matrix.platform }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
--- a/.github/workflows/style.yml
+++ b/.github/workflows/style.yml
@@ -38,12 +38,12 @@ jobs:
        if: steps.changed-files.outputs.any_changed == 'true'
        run: |
          poetry run -C api ruff --version
-          poetry run -C api ruff check ./
-          poetry run -C api ruff format --check ./
+          poetry run -C api ruff check ./api
+          poetry run -C api ruff format --check ./api

      - name: Dotenv check
        if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
+        run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example

      - name: Lint hints
        if: failure()
@@ -82,33 +82,6 @@ jobs:
        if: steps.changed-files.outputs.any_changed == 'true'
        run: yarn run lint

-  docker-compose-template:
-    name: Docker Compose Template
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
-        with:
-          files: |
-            docker/generate_docker_compose
-            docker/.env.example
-            docker/docker-compose-template.yaml
-            docker/docker-compose.yaml
-
-      - name: Generate Docker Compose
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: |
-          cd docker
-          ./generate_docker_compose
-
-      - name: Check for changes
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: git diff --exit-code

  superlinter:
    name: SuperLinter
--- a/.github/workflows/vdb-tests.yml
+++ b/.github/workflows/vdb-tests.yml
@@ -70,4 +70,4 @@ jobs:
            tidb

      - name: Test Vector Stores
-        run: poetry run -P api bash dev/pytest/pytest_vdb.sh
+        run: poetry run -C api bash dev/pytest/pytest_vdb.sh
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,18 +0,0 @@
-# Changelog
-
-All notable changes to Dify will be documented in this file.
-
-The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
-and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
-
-## [0.15.6] - 2025-04-22
-
-### Security
-
- Fixed clickjacking vulnerability (#18552)
- Fixed reset password security issue (#18366)
- Updated reset password token when email code verification succeeds (#18362)
-
-### Fixed
-
- Fixed Vertex AI Gemini 2.0 Flash 001 schema (#18405)
--- a/README.md
+++ b/README.md
@@ -25,9 +25,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_AR.md
+++ b/README_AR.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_CN.md
+++ b/README_CN.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_ES.md
+++ b/README_ES.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="seguir en X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="seguir en LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_FR.md
+++ b/README_FR.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="suivre sur X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="suivre sur LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_JA.md
+++ b/README_JA.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="X(Twitter)でフォロー"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="LinkedInでフォロー"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_KL.md
+++ b/README_KL.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_KR.md
+++ b/README_KR.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_PT.md
+++ b/README_PT.md
@@ -25,9 +25,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_SI.md
+++ b/README_SI.md
@@ -22,9 +22,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/README_TR.md
+++ b/README_TR.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="X(Twitter)'da takip et"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="LinkedIn'da takip et"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Çekmeleri" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -65,6 +62,8 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)


+Özür dilerim, haklısınız. Daha anlamlı ve akıcı bir çeviri yapmaya çalışayım. İşte güncellenmiş çeviri:
+
 **3. Prompt IDE**: 
  Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.

@@ -151,6 +150,8 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
 ## Dify'ı Kullanma

 - **Cloud </br>**
+İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
+- 
 Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.

 - **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
@@ -176,6 +177,8 @@ GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
 >- RAM >= 4GB

 </br>
+İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
+
 Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:

 ```bash
--- a/README_VI.md
+++ b/README_VI.md
@@ -21,9 +21,6 @@
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="theo dõi trên X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="theo dõi trên LinkedIn"></a>
    <a href="https://hub.docker.com/u/langgenius" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
--- a/api/.env.example
+++ b/api/.env.example
@@ -23,9 +23,6 @@ FILES_ACCESS_TIMEOUT=300
 # Access token expiration time in minutes
 ACCESS_TOKEN_EXPIRE_MINUTES=60

-# Refresh token expiration time in days
-REFRESH_TOKEN_EXPIRE_DAYS=30
-
 # celery configuration
 CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1

@@ -430,7 +427,4 @@ CREATE_TIDB_SERVICE_JOB_ENABLED=false
 # Maximum number of submitted thread count in a ThreadPool for parallel node execution
 MAX_SUBMIT_COUNT=100
 # Lockout duration in seconds
-LOGIN_LOCKOUT_DURATION=86400
-
-# Prevent Clickjacking
-ALLOW_EMBED=false
+LOGIN_LOCKOUT_DURATION=86400
--- a/api/.ruff.toml
+++ b/api/.ruff.toml
@@ -53,12 +53,10 @@ ignore = [
    "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
@@ -87,11 +85,11 @@ ignore = [
 ]
 "tests/*" = [
    "F811", # redefined-while-unused
+    "F401", # unused-import
 ]

 [lint.pyflakes]
-allowed-unused-imports = [
+extend-generics = [
    "_pytest.monkeypatch",
    "tests.integration_tests",
-    "tests.unit_tests",
 ]
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
 WORKDIR /app/api

 # Install Poetry
-ENV POETRY_VERSION=2.0.1
+ENV POETRY_VERSION=1.8.4

 # if you located in China, you can use aliyun mirror to speed up
 # RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
@@ -48,18 +48,16 @@ ENV TZ=UTC

 WORKDIR /app/api

-RUN \
-    apt-get update \
-    # Install dependencies
-    && apt-get install -y --no-install-recommends \
-        # basic environment
-        curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
-        # For Security
-        expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
-        # install a chinese font to support the use of tools like matplotlib
-        fonts-noto-cjk \
-        # install libmagic to support the use of python-magic guess MIMETYPE
-        libmagic1 \
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
+    # if you located in China, you can use aliyun mirror to speed up
+    # && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
+    && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
+    && apt-get update \
+    # For Security
+    && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
+    # install a chinese font to support the use of tools like matplotlib
+    && apt-get install -y fonts-noto-cjk \
    && apt-get autoremove -y \
    && rm -rf /var/lib/apt/lists/*

@@ -78,6 +76,7 @@ COPY . /app/api/
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh

+
 ARG COMMIT_SHA
 ENV COMMIT_SHA=${COMMIT_SHA}

--- a/api/README.md
+++ b/api/README.md
@@ -79,5 +79,5 @@
 2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`

   ```bash
-   poetry run -P api bash dev/pytest/pytest_all_tests.sh
+   poetry run -C api bash dev/pytest/pytest_all_tests.sh
   ```
--- a/api/app.py
+++ b/api/app.py
@@ -1,8 +1,12 @@
-import os
-import sys
+from libs import version_utils
+
+# preparation before creating app
+version_utils.check_supported_python_version()


 def is_db_command():
+    import sys
+
    if len(sys.argv) > 1 and sys.argv[0].endswith("flask") and sys.argv[1] == "db":
        return True
    return False
@@ -14,25 +18,10 @@ if is_db_command():

    app = create_migrations_app()
 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  # type: ignore
-
-        # 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()
-
    from app_factory import create_app
+    from libs import threadings_utils
+
+    threadings_utils.apply_gevent_threading_patch()

    app = create_app()
    celery = app.extensions["celery"]
--- a/api/configs/feature/init.py
+++ b/api/configs/feature/init.py
@@ -146,7 +146,7 @@ class EndpointConfig(BaseSettings):
    )

    CONSOLE_WEB_URL: str = Field(
-        description="Base URL for the console web interface,used for frontend references and CORS configuration",
+        description="Base URL for the console web interface," "used for frontend references and CORS configuration",
        default="",
    )

@@ -488,11 +488,6 @@ class AuthConfig(BaseSettings):
        default=60,
    )

-    REFRESH_TOKEN_EXPIRE_DAYS: PositiveFloat = Field(
-        description="Expiration time for refresh tokens in days",
-        default=30,
-    )
-
    LOGIN_LOCKOUT_DURATION: PositiveInt = Field(
        description="Time (in seconds) a user must wait before retrying login after exceeding the rate limit.",
        default=86400,
@@ -606,7 +601,7 @@ class RagEtlConfig(BaseSettings):

    UNSTRUCTURED_API_KEY: Optional[str] = Field(
        description="API key for Unstructured.io service",
-        default="",
+        default=None,
    )

    SCARF_NO_ANALYTICS: Optional[str] = Field(
@@ -672,11 +667,6 @@ class IndexingConfig(BaseSettings):
        default=4000,
    )

-    CHILD_CHUNKS_PREVIEW_NUMBER: PositiveInt = Field(
-        description="Maximum number of child chunks to preview",
-        default=50,
-    )
-

 class MultiModalTransferConfig(BaseSettings):
    MULTIMODAL_SEND_FORMAT: Literal["base64", "url"] = Field(
@@ -775,13 +765,6 @@ class LoginConfig(BaseSettings):
    )


-class AccountConfig(BaseSettings):
-    ACCOUNT_DELETION_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a account deletion token remains valid",
-        default=5,
-    )
-
-
 class FeatureConfig(
    # place the configs in alphabet order
    AppExecutionConfig,
@@ -809,7 +792,6 @@ class FeatureConfig(
    WorkflowNodeExecutionConfig,
    WorkspaceConfig,
    LoginConfig,
-    AccountConfig,
    # hosted services config
    HostedServiceConfig,
    CeleryBeatConfig,
--- a/api/configs/feature/hosted_service/init.py
+++ b/api/configs/feature/hosted_service/init.py
@@ -1,40 +1,9 @@
 from typing import Optional

-from pydantic import Field, NonNegativeInt, computed_field
+from pydantic import Field, NonNegativeInt
 from pydantic_settings import BaseSettings


-class HostedCreditConfig(BaseSettings):
-    HOSTED_MODEL_CREDIT_CONFIG: str = Field(
-        description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
-        default="",
-    )
-
-    def get_model_credits(self, model_name: str) -> int:
-        """
-        Get credit value for a specific model name.
-        Returns 1 if model is not found in configuration (default credit).
-
-        :param model_name: The name of the model to search for
-        :return: The credit value for the model
-        """
-        if not self.HOSTED_MODEL_CREDIT_CONFIG:
-            return 1
-
-        try:
-            credit_map = dict(
-                item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
-            )
-
-            # Search for matching model pattern
-            for pattern, credit in credit_map.items():
-                if pattern.strip() == model_name:
-                    return int(credit)
-            return 1  # Default quota if no match found
-        except (ValueError, AttributeError):
-            return 1  # Return default quota if parsing fails
-
-
 class HostedOpenAiConfig(BaseSettings):
    """
    Configuration for hosted OpenAI service
@@ -212,7 +181,7 @@ class HostedFetchAppTemplateConfig(BaseSettings):
    """

    HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
-        description="Mode for fetching app templates: remote, db, or builtin default to remote,",
+        description="Mode for fetching app templates: remote, db, or builtin" " default to remote,",
        default="remote",
    )

@@ -233,7 +202,5 @@ class HostedServiceConfig(
    HostedZhipuAIConfig,
    # moderation
    HostedModerationConfig,
-    # credit config
-    HostedCreditConfig,
 ):
    pass
--- a/api/configs/middleware/vdb/milvus_config.py
+++ b/api/configs/middleware/vdb/milvus_config.py
@@ -33,9 +33,3 @@ class MilvusConfig(BaseSettings):
        description="Name of the Milvus database to connect to (default is 'default')",
        default="default",
    )
-
-    MILVUS_ENABLE_HYBRID_SEARCH: bool = Field(
-        description="Enable hybrid search features (requires Milvus >= 2.5.0). Set to false for compatibility with "
-        "older versions",
-        default=True,
-    )
--- a/api/configs/packaging/init.py
+++ b/api/configs/packaging/init.py
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):

    CURRENT_VERSION: str = Field(
        description="Dify version",
-        default="0.15.6",
+        default="0.14.2",
    )

    COMMIT_SHA: str = Field(
--- a/api/controllers/common/helpers.py
+++ b/api/controllers/common/helpers.py
@@ -1,32 +1,12 @@
 import mimetypes
 import os
-import platform
 import re
 import urllib.parse
-import warnings
 from collections.abc import Mapping
 from typing import Any
 from uuid import uuid4

 import httpx
-
-try:
-    import magic
-except ImportError:
-    if platform.system() == "Windows":
-        warnings.warn(
-            "To use python-magic guess MIMETYPE, you need to run `pip install python-magic-bin`", stacklevel=2
-        )
-    elif platform.system() == "Darwin":
-        warnings.warn("To use python-magic guess MIMETYPE, you need to run `brew install libmagic`", stacklevel=2)
-    elif platform.system() == "Linux":
-        warnings.warn(
-            "To use python-magic guess MIMETYPE, you need to run `sudo apt-get install libmagic1`", stacklevel=2
-        )
-    else:
-        warnings.warn("To use python-magic guess MIMETYPE, you need to install `libmagic`", stacklevel=2)
-    magic = None  # type: ignore
-
 from pydantic import BaseModel

 from configs import dify_config
@@ -67,13 +47,6 @@ def guess_file_info_from_response(response: httpx.Response):
        # If guessing fails, use Content-Type from response headers
        mimetype = response.headers.get("Content-Type", "application/octet-stream")

-    # Use python-magic to guess MIME type if still unknown or generic
-    if mimetype == "application/octet-stream" and magic is not None:
-        try:
-            mimetype = magic.from_buffer(response.content[:1024], mime=True)
-        except magic.MagicException:
-            pass
-
    extension = os.path.splitext(filename)[1]

    # Ensure filename has an extension
--- a/api/controllers/console/admin.py
+++ b/api/controllers/console/admin.py
@@ -56,7 +56,7 @@ class InsertExploreAppListApi(Resource):

        app = App.query.filter(App.id == args["app_id"]).first()
        if not app:
-            raise NotFound(f"App '{args['app_id']}' is not found")
+            raise NotFound(f'App \'{args["app_id"]}\' is not found')

        site = app.site
        if not site:
--- a/api/controllers/console/app/app.py
+++ b/api/controllers/console/app/app.py
@@ -57,13 +57,12 @@ class AppListApi(Resource):
        )
        parser.add_argument("name", type=str, location="args", required=False)
        parser.add_argument("tag_ids", type=uuid_list, location="args", required=False)
-        parser.add_argument("is_created_by_me", type=inputs.boolean, location="args", required=False)

        args = parser.parse_args()

        # get app list
        app_service = AppService()
-        app_pagination = app_service.get_paginate_apps(current_user.id, current_user.current_tenant_id, args)
+        app_pagination = app_service.get_paginate_apps(current_user.current_tenant_id, args)
        if not app_pagination:
            return {"data": [], "total": 0, "page": 1, "limit": 20, "has_more": False}

--- a/api/controllers/console/app/audio.py
+++ b/api/controllers/console/app/audio.py
@@ -22,7 +22,7 @@ from controllers.console.wraps import account_initialization_required, setup_req
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from libs.login import login_required
-from models import App, AppMode
+from models.model import AppMode
 from services.audio_service import AudioService
 from services.errors.audio import (
    AudioTooLargeServiceError,
@@ -79,7 +79,7 @@ class ChatMessageTextApi(Resource):
    @login_required
    @account_initialization_required
    @get_app_model
-    def post(self, app_model: App):
+    def post(self, app_model):
        from werkzeug.exceptions import InternalServerError

        try:
@@ -98,13 +98,9 @@ class ChatMessageTextApi(Resource):
                and app_model.workflow.features_dict
            ):
                text_to_speech = app_model.workflow.features_dict.get("text_to_speech")
-                if text_to_speech is None:
-                    raise ValueError("TTS is not enabled")
                voice = args.get("voice") or text_to_speech.get("voice")
            else:
                try:
-                    if app_model.app_model_config is None:
-                        raise ValueError("AppModelConfig not found")
                    voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
                except Exception:
                    voice = None
--- a/api/controllers/console/app/completion.py
+++ b/api/controllers/console/app/completion.py
@@ -20,6 +20,7 @@ from controllers.web.error import InvokeRateLimitError as InvokeRateLimitHttpErr
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.errors.error import (
+    AppInvokeQuotaExceededError,
    ModelCurrentlyNotSupportError,
    ProviderTokenNotInitError,
    QuotaExceededError,
@@ -75,7 +76,7 @@ class CompletionMessageApi(Resource):
            raise ProviderModelCurrentlyNotSupportError()
        except InvokeError as e:
            raise CompletionRequestError(e.description)
-        except ValueError as e:
+        except (ValueError, AppInvokeQuotaExceededError) as e:
            raise e
        except Exception as e:
            logging.exception("internal server error.")
@@ -140,7 +141,7 @@ class ChatMessageApi(Resource):
            raise InvokeRateLimitHttpError(ex.description)
        except InvokeError as e:
            raise CompletionRequestError(e.description)
-        except ValueError as e:
+        except (ValueError, AppInvokeQuotaExceededError) as e:
            raise e
        except Exception as e:
            logging.exception("internal server error.")
--- a/api/controllers/console/app/statistic.py
+++ b/api/controllers/console/app/statistic.py
@@ -273,7 +273,8 @@ FROM
            messages m
            ON c.id = m.conversation_id
        WHERE
-            c.app_id = :app_id"""
+            c.override_model_configs IS NULL
+            AND c.app_id = :app_id"""
        arg_dict = {"tz": account.timezone, "app_id": app_model.id}

        timezone = pytz.timezone(account.timezone)
--- a/api/controllers/console/app/workflow.py
+++ b/api/controllers/console/app/workflow.py
@@ -2,7 +2,7 @@ import json
 import logging

 from flask import abort, request
-from flask_restful import Resource, inputs, marshal_with, reqparse  # type: ignore
+from flask_restful import Resource, marshal_with, reqparse  # type: ignore
 from werkzeug.exceptions import Forbidden, InternalServerError, NotFound

 import services
@@ -14,7 +14,7 @@ from controllers.console.wraps import account_initialization_required, setup_req
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
 from factories import variable_factory
-from fields.workflow_fields import workflow_fields, workflow_pagination_fields
+from fields.workflow_fields import workflow_fields
 from fields.workflow_run_fields import workflow_run_node_execution_fields
 from libs import helper
 from libs.helper import TimestampField, uuid_value
@@ -440,29 +440,29 @@ class WorkflowConfigApi(Resource):
        }


-class PublishedAllWorkflowApi(Resource):
+class DraftWorkflowNodeRetriableApi(Resource):
    @setup_required
    @login_required
    @account_initialization_required
    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
-    @marshal_with(workflow_pagination_fields)
-    def get(self, app_model: App):
+    @marshal_with(workflow_run_node_execution_fields)
+    def post(self, app_model: App, node_id: str):
        """
-        Get published workflows
+        Run draft workflow node
        """
+        # The role of the current user in the ta table must be admin, owner, or editor
        if not current_user.is_editor:
            raise Forbidden()

        parser = reqparse.RequestParser()
-        parser.add_argument("page", type=inputs.int_range(1, 99999), required=False, default=1, location="args")
-        parser.add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args")
+        parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
        args = parser.parse_args()
-        page = args.get("page")
-        limit = args.get("limit")
        workflow_service = WorkflowService()
-        workflows, has_more = workflow_service.get_all_published_workflow(app_model=app_model, page=page, limit=limit)
+        workflow_node_execution = workflow_service.run_retriable_draft_workflow_node(
+            app_model=app_model, node_id=node_id, user_inputs=args.get("inputs", {}), account=current_user
+        )

-        return {"items": workflows, "page": page, "limit": limit, "has_more": has_more}
+        return workflow_node_execution


 api.add_resource(DraftWorkflowApi, "/apps/<uuid:app_id>/workflows/draft")
@@ -479,9 +479,9 @@ api.add_resource(
    WorkflowDraftRunIterationNodeApi, "/apps/<uuid:app_id>/workflows/draft/iteration/nodes/<string:node_id>/run"
 )
 api.add_resource(PublishedWorkflowApi, "/apps/<uuid:app_id>/workflows/publish")
-api.add_resource(PublishedAllWorkflowApi, "/apps/<uuid:app_id>/workflows")
 api.add_resource(DefaultBlockConfigsApi, "/apps/<uuid:app_id>/workflows/default-workflow-block-configs")
 api.add_resource(
    DefaultBlockConfigApi, "/apps/<uuid:app_id>/workflows/default-workflow-block-configs/<string:block_type>"
 )
 api.add_resource(ConvertToWorkflowApi, "/apps/<uuid:app_id>/convert-to-workflow")
+api.add_resource(DraftWorkflowNodeRetriableApi, "/apps/<uuid:app_id>/workflows/draft/retry/nodes/<string:node_id>/run")
--- a/api/controllers/console/auth/error.py
+++ b/api/controllers/console/auth/error.py
@@ -53,9 +53,3 @@ class EmailCodeLoginRateLimitExceededError(BaseHTTPException):
    error_code = "email_code_login_rate_limit_exceeded"
    description = "Too many login emails have been sent. Please try again in 5 minutes."
    code = 429
-
-
-class EmailCodeAccountDeletionRateLimitExceededError(BaseHTTPException):
-    error_code = "email_code_account_deletion_rate_limit_exceeded"
-    description = "Too many account deletion emails have been sent. Please try again in 5 minutes."
-    code = 429
--- a/api/controllers/console/auth/forgot_password.py
+++ b/api/controllers/console/auth/forgot_password.py
@@ -6,27 +6,26 @@ from flask_restful import Resource, reqparse  # type: ignore

 from constants.languages import languages
 from controllers.console import api
-from controllers.console.auth.error import (EmailCodeError, InvalidEmailError,
-                                            InvalidTokenError,
-                                            PasswordMismatchError)
-from controllers.console.error import (AccountInFreezeError, AccountNotFound,
-                                       EmailSendIpLimitError)
-from controllers.console.wraps import (email_password_login_enabled,
-                                       setup_required)
+from controllers.console.auth.error import (
+    EmailCodeError,
+    InvalidEmailError,
+    InvalidTokenError,
+    PasswordMismatchError,
+)
+from controllers.console.error import AccountNotFound, EmailSendIpLimitError
+from controllers.console.wraps import setup_required
 from events.tenant_event import tenant_was_created
 from extensions.ext_database import db
 from libs.helper import email, extract_remote_ip
 from libs.password import hash_password, valid_password
 from models.account import Account
 from services.account_service import AccountService, TenantService
-from services.errors.account import AccountRegisterError
 from services.errors.workspace import WorkSpaceNotAllowedCreateError
 from services.feature_service import FeatureService


 class ForgotPasswordSendEmailApi(Resource):
    @setup_required
-    @email_password_login_enabled
    def post(self):
        parser = reqparse.RequestParser()
        parser.add_argument("email", type=email, required=True, location="json")
@@ -58,7 +57,6 @@ class ForgotPasswordSendEmailApi(Resource):

 class ForgotPasswordCheckApi(Resource):
    @setup_required
-    @email_password_login_enabled
    def post(self):
        parser = reqparse.RequestParser()
        parser.add_argument("email", type=str, required=True, location="json")
@@ -78,20 +76,11 @@ class ForgotPasswordCheckApi(Resource):
        if args["code"] != token_data.get("code"):
            raise EmailCodeError()

-        # Verified, revoke the first token
-        AccountService.revoke_reset_password_token(args["token"])
-
-        # Refresh token data by generating a new token
-        _, new_token = AccountService.generate_reset_password_token(
-            user_email, code=args["code"], additional_data={"phase": "reset"}
-        )
-
-        return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
+        return {"is_valid": True, "email": token_data.get("email")}


 class ForgotPasswordResetApi(Resource):
    @setup_required
-    @email_password_login_enabled
    def post(self):
        parser = reqparse.RequestParser()
        parser.add_argument("token", type=str, required=True, nullable=False, location="json")
@@ -110,9 +99,6 @@ class ForgotPasswordResetApi(Resource):

        if reset_data is None:
            raise InvalidTokenError()
-        # Must use token in reset phase
-        if reset_data.get("phase", "") != "reset":
-            raise InvalidTokenError()

        AccountService.revoke_reset_password_token(token)

@@ -143,8 +129,6 @@ class ForgotPasswordResetApi(Resource):
                )
            except WorkSpaceNotAllowedCreateError:
                pass
-            except AccountRegisterError as are:
-                raise AccountInFreezeError()

        return {"result": "success"}

--- a/api/controllers/console/auth/login.py
+++ b/api/controllers/console/auth/login.py
@@ -5,7 +5,6 @@ from flask import request
 from flask_restful import Resource, reqparse  # type: ignore

 import services
-from configs import dify_config
 from constants.languages import languages
 from controllers.console import api
 from controllers.console.auth.error import (
@@ -17,19 +16,16 @@ from controllers.console.auth.error import (
 )
 from controllers.console.error import (
    AccountBannedError,
-    AccountInFreezeError,
    AccountNotFound,
    EmailSendIpLimitError,
    NotAllowedCreateWorkspace,
 )
-from controllers.console.wraps import email_password_login_enabled, setup_required
+from controllers.console.wraps import setup_required
 from events.tenant_event import tenant_was_created
 from libs.helper import email, extract_remote_ip
 from libs.password import valid_password
 from models.account import Account
 from services.account_service import AccountService, RegisterService, TenantService
-from services.billing_service import BillingService
-from services.errors.account import AccountRegisterError
 from services.errors.workspace import WorkSpaceNotAllowedCreateError
 from services.feature_service import FeatureService

@@ -38,7 +34,6 @@ class LoginApi(Resource):
    """Resource for user login."""

    @setup_required
-    @email_password_login_enabled
    def post(self):
        """Authenticate user and login."""
        parser = reqparse.RequestParser()
@@ -49,9 +44,6 @@ class LoginApi(Resource):
        parser.add_argument("language", type=str, required=False, default="en-US", location="json")
        args = parser.parse_args()

-        if dify_config.BILLING_ENABLED and BillingService.is_email_in_freeze(args["email"]):
-            raise AccountInFreezeError()
-
        is_login_error_rate_limit = AccountService.is_login_error_rate_limit(args["email"])
        if is_login_error_rate_limit:
            raise EmailPasswordLoginLimitError()
@@ -111,7 +103,6 @@ class LogoutApi(Resource):

 class ResetPasswordSendEmailApi(Resource):
    @setup_required
-    @email_password_login_enabled
    def post(self):
        parser = reqparse.RequestParser()
        parser.add_argument("email", type=email, required=True, location="json")
@@ -122,10 +113,8 @@ class ResetPasswordSendEmailApi(Resource):
            language = "zh-Hans"
        else:
            language = "en-US"
-        try:
-            account = AccountService.get_user_through_email(args["email"])
-        except AccountRegisterError as are:
-            raise AccountInFreezeError()
+
+        account = AccountService.get_user_through_email(args["email"])
        if account is None:
            if FeatureService.get_system_features().is_allow_register:
                token = AccountService.send_reset_password_email(email=args["email"], language=language)
@@ -153,11 +142,8 @@ class EmailCodeLoginSendEmailApi(Resource):
            language = "zh-Hans"
        else:
            language = "en-US"
-        try:
-            account = AccountService.get_user_through_email(args["email"])
-        except AccountRegisterError as are:
-            raise AccountInFreezeError()

+        account = AccountService.get_user_through_email(args["email"])
        if account is None:
            if FeatureService.get_system_features().is_allow_register:
                token = AccountService.send_email_code_login_email(email=args["email"], language=language)
@@ -191,10 +177,7 @@ class EmailCodeLoginApi(Resource):
            raise EmailCodeError()

        AccountService.revoke_email_code_login_token(args["token"])
-        try:
-            account = AccountService.get_user_through_email(user_email)
-        except AccountRegisterError as are:
-            raise AccountInFreezeError()
+        account = AccountService.get_user_through_email(user_email)
        if account:
            tenant = TenantService.get_join_tenants(account)
            if not tenant:
@@ -213,8 +196,6 @@ class EmailCodeLoginApi(Resource):
                )
            except WorkSpaceNotAllowedCreateError:
                return NotAllowedCreateWorkspace()
-            except AccountRegisterError as are:
-                raise AccountInFreezeError()
        token_pair = AccountService.login(account, ip_address=extract_remote_ip(request))
        AccountService.reset_login_error_rate_limit(args["email"])
        return {"result": "success", "data": token_pair.model_dump()}
--- a/api/controllers/console/auth/oauth.py
+++ b/api/controllers/console/auth/oauth.py
@@ -16,7 +16,7 @@ from libs.oauth import GitHubOAuth, GoogleOAuth, OAuthUserInfo
 from models import Account
 from models.account import AccountStatus
 from services.account_service import AccountService, RegisterService, TenantService
-from services.errors.account import AccountNotFoundError, AccountRegisterError
+from services.errors.account import AccountNotFoundError
 from services.errors.workspace import WorkSpaceNotAllowedCreateError, WorkSpaceNotFoundError
 from services.feature_service import FeatureService

@@ -99,8 +99,6 @@ class OAuthCallback(Resource):
                f"{dify_config.CONSOLE_WEB_URL}/signin"
                "?message=Workspace not found, please contact system admin to invite you to join in a workspace."
            )
-        except AccountRegisterError as e:
-            return redirect(f"{dify_config.CONSOLE_WEB_URL}/signin?message={e.description}")

        # Check account status
        if account.status == AccountStatus.BANNED.value:
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -52,12 +52,12 @@ class DatasetListApi(Resource):
        # provider = request.args.get("provider", default="vendor")
        search = request.args.get("keyword", default=None, type=str)
        tag_ids = request.args.getlist("tag_ids")
-        include_all = request.args.get("include_all", default="false").lower() == "true"
+
        if ids:
            datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
        else:
            datasets, total = DatasetService.get_datasets(
-                page, limit, current_user.current_tenant_id, current_user, search, tag_ids, include_all
+                page, limit, current_user.current_tenant_id, current_user, search, tag_ids
            )

        # check embedding setting
@@ -457,7 +457,7 @@ class DatasetIndexingEstimateApi(Resource):
            )
        except LLMBadRequestError:
            raise ProviderNotInitializeError(
-                "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                "No Embedding Model available. Please configure a valid provider " "in the Settings -> Model Provider."
            )
        except ProviderTokenNotInitError as ex:
            raise ProviderNotInitializeError(ex.description)
@@ -619,7 +619,9 @@ class DatasetRetrievalSettingApi(Resource):
        vector_type = dify_config.VECTOR_STORE
        match vector_type:
            case (
-                VectorType.RELYT
+                VectorType.MILVUS
+                | VectorType.RELYT
+                | VectorType.PGVECTOR
                | VectorType.TIDB_VECTOR
                | VectorType.CHROMA
                | VectorType.TENCENT
@@ -638,12 +640,10 @@ class DatasetRetrievalSettingApi(Resource):
                | VectorType.MYSCALE
                | VectorType.ORACLE
                | VectorType.ELASTICSEARCH
-                | VectorType.ELASTICSEARCH_JA
                | VectorType.PGVECTOR
                | VectorType.TIDB_ON_QDRANT
                | VectorType.LINDORM
                | VectorType.COUCHBASE
-                | VectorType.MILVUS
            ):
                return {
                    "retrieval_method": [
@@ -683,7 +683,6 @@ class DatasetRetrievalSettingMockApi(Resource):
                | VectorType.MYSCALE
                | VectorType.ORACLE
                | VectorType.ELASTICSEARCH
-                | VectorType.ELASTICSEARCH_JA
                | VectorType.COUCHBASE
                | VectorType.PGVECTOR
                | VectorType.LINDORM
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -257,8 +257,7 @@ class DatasetDocumentListApi(Resource):
        parser.add_argument("original_document_id", type=str, required=False, location="json")
        parser.add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
        parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
-        parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
-        parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
+
        parser.add_argument(
            "doc_language", type=str, default="English", required=False, nullable=False, location="json"
        )
@@ -350,7 +349,8 @@ class DatasetInitApi(Resource):
                )
            except InvokeAuthorizationError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
@@ -525,7 +525,8 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                return response.model_dump(), 200
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
--- a/api/controllers/console/datasets/datasets_segments.py
+++ b/api/controllers/console/datasets/datasets_segments.py
@@ -168,7 +168,8 @@ class DatasetDocumentSegmentApi(Resource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
@@ -216,7 +217,8 @@ class DatasetDocumentSegmentAddApi(Resource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
@@ -265,7 +267,8 @@ class DatasetDocumentSegmentUpdateApi(Resource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
@@ -365,9 +368,9 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
            result = []
            for index, row in df.iterrows():
                if document.doc_form == "qa_model":
-                    data = {"content": row.iloc[0], "answer": row.iloc[1]}
+                    data = {"content": row[0], "answer": row[1]}
                else:
-                    data = {"content": row.iloc[0]}
+                    data = {"content": row[0]}
                result.append(data)
            if len(result) == 0:
                raise ValueError("The CSV file is empty.")
@@ -434,7 +437,8 @@ class ChildChunkAddApi(Resource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
--- a/api/controllers/console/error.py
+++ b/api/controllers/console/error.py
@@ -92,12 +92,3 @@ class UnauthorizedAndForceLogout(BaseHTTPException):
    error_code = "unauthorized_and_force_logout"
    description = "Unauthorized and force logout."
    code = 401
-
-
-class AccountInFreezeError(BaseHTTPException):
-    error_code = "account_in_freeze"
-    code = 400
-    description = (
-        "This email account has been deleted within the past 30 days"
-        "and is temporarily unavailable for new account registration."
-    )
--- a/api/controllers/console/explore/completion.py
+++ b/api/controllers/console/explore/completion.py
@@ -18,11 +18,7 @@ from controllers.console.explore.error import NotChatAppError, NotCompletionAppE
 from controllers.console.explore.wraps import InstalledAppResource
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.errors.error import (
-    ModelCurrentlyNotSupportError,
-    ProviderTokenNotInitError,
-    QuotaExceededError,
-)
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from extensions.ext_database import db
 from libs import helper
--- a/api/controllers/console/explore/conversation.py
+++ b/api/controllers/console/explore/conversation.py
@@ -32,7 +32,7 @@ class ConversationListApi(InstalledAppResource):

        pinned = None
        if "pinned" in args and args["pinned"] is not None:
-            pinned = args["pinned"] == "true"
+            pinned = True if args["pinned"] == "true" else False

        try:
            with Session(db.engine) as session:
--- a/api/controllers/console/explore/message.py
+++ b/api/controllers/console/explore/message.py
@@ -50,7 +50,7 @@ class MessageListApi(InstalledAppResource):

        try:
            return MessageService.pagination_by_first_id(
-                app_model, current_user, args["conversation_id"], args["first_id"], args["limit"]
+                app_model, current_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
            )
        except services.errors.conversation.ConversationNotExistsError:
            raise NotFound("Conversation Not Exists.")
@@ -66,17 +66,10 @@ class MessageFeedbackApi(InstalledAppResource):

        parser = reqparse.RequestParser()
        parser.add_argument("rating", type=str, choices=["like", "dislike", None], location="json")
-        parser.add_argument("content", type=str, location="json")
        args = parser.parse_args()

        try:
-            MessageService.create_feedback(
-                app_model=app_model,
-                message_id=message_id,
-                user=current_user,
-                rating=args.get("rating"),
-                content=args.get("content"),
-            )
+            MessageService.create_feedback(app_model, message_id, current_user, args.get("rating"), args.get("content"))
        except services.errors.message.MessageNotExistsError:
            raise NotFound("Message Not Exists.")

--- a/api/controllers/console/explore/workflow.py
+++ b/api/controllers/console/explore/workflow.py
@@ -13,11 +13,7 @@ from controllers.console.explore.error import NotWorkflowAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.errors.error import (
-    ModelCurrentlyNotSupportError,
-    ProviderTokenNotInitError,
-    QuotaExceededError,
-)
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from libs import helper
 from libs.login import current_user
--- a/api/controllers/console/workspace/account.py
+++ b/api/controllers/console/workspace/account.py
@@ -11,7 +11,6 @@ from controllers.console import api
 from controllers.console.workspace.error import (
    AccountAlreadyInitedError,
    CurrentPasswordIncorrectError,
-    InvalidAccountDeletionCodeError,
    InvalidInvitationCodeError,
    RepeatPasswordNotMatchError,
 )
@@ -22,7 +21,6 @@ from libs.helper import TimestampField, timezone
 from libs.login import login_required
 from models import AccountIntegrate, InvitationCode
 from services.account_service import AccountService
-from services.billing_service import BillingService
 from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError


@@ -244,54 +242,6 @@ class AccountIntegrateApi(Resource):
        return {"data": integrate_data}


-class AccountDeleteVerifyApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-        account = current_user
-
-        token, code = AccountService.generate_account_deletion_verification_code(account)
-        AccountService.send_account_deletion_verification_email(account, code)
-
-        return {"result": "success", "data": token}
-
-
-class AccountDeleteApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self):
-        account = current_user
-
-        parser = reqparse.RequestParser()
-        parser.add_argument("token", type=str, required=True, location="json")
-        parser.add_argument("code", type=str, required=True, location="json")
-        args = parser.parse_args()
-
-        if not AccountService.verify_account_deletion_code(args["token"], args["code"]):
-            raise InvalidAccountDeletionCodeError()
-
-        AccountService.delete_account(account)
-
-        return {"result": "success"}
-
-
-class AccountDeleteUpdateFeedbackApi(Resource):
-    @setup_required
-    def post(self):
-        account = current_user
-
-        parser = reqparse.RequestParser()
-        parser.add_argument("email", type=str, required=True, location="json")
-        parser.add_argument("feedback", type=str, required=True, location="json")
-        args = parser.parse_args()
-
-        BillingService.update_account_deletion_feedback(args["email"], args["feedback"])
-
-        return {"result": "success"}
-
-
 # Register API resources
 api.add_resource(AccountInitApi, "/account/init")
 api.add_resource(AccountProfileApi, "/account/profile")
@@ -302,8 +252,5 @@ api.add_resource(AccountInterfaceThemeApi, "/account/interface-theme")
 api.add_resource(AccountTimezoneApi, "/account/timezone")
 api.add_resource(AccountPasswordApi, "/account/password")
 api.add_resource(AccountIntegrateApi, "/account/integrates")
-api.add_resource(AccountDeleteVerifyApi, "/account/delete/verify")
-api.add_resource(AccountDeleteApi, "/account/delete")
-api.add_resource(AccountDeleteUpdateFeedbackApi, "/account/delete/feedback")
 # api.add_resource(AccountEmailApi, '/account/email')
 # api.add_resource(AccountEmailVerifyApi, '/account/email-verify')
--- a/api/controllers/console/workspace/error.py
+++ b/api/controllers/console/workspace/error.py
@@ -35,9 +35,3 @@ class AccountNotInitializedError(BaseHTTPException):
    error_code = "account_not_initialized"
    description = "The account has not been initialized yet. Please proceed with the initialization process first."
    code = 400
-
-
-class InvalidAccountDeletionCodeError(BaseHTTPException):
-    error_code = "invalid_account_deletion_code"
-    description = "Invalid account deletion code."
-    code = 400
--- a/api/controllers/console/workspace/members.py
+++ b/api/controllers/console/workspace/members.py
@@ -122,7 +122,7 @@ class MemberUpdateRoleApi(Resource):
            return {"code": "invalid-role", "message": "Invalid role"}, 400

        member = db.session.get(Account, str(member_id))
-        if not member:
+        if member:
            abort(404)

        try:
--- a/api/controllers/console/wraps.py
+++ b/api/controllers/console/wraps.py
@@ -11,8 +11,7 @@ from models.model import DifySetup
 from services.feature_service import FeatureService, LicenseStatus
 from services.operation_service import OperationService

-from .error import (NotInitValidateError, NotSetupError,
-                    UnauthorizedAndForceLogout)
+from .error import NotInitValidateError, NotSetupError, UnauthorizedAndForceLogout


 def account_initialization_required(view):
@@ -155,16 +154,3 @@ def enterprise_license_required(view):
        return view(*args, **kwargs)

    return decorated
-
-
-def email_password_login_enabled(view):
-    @wraps(view)
-    def decorated(*args, **kwargs):
-        features = FeatureService.get_system_features()
-        if features.enable_email_password_login:
-            return view(*args, **kwargs)
-
-        # otherwise, return 403
-        abort(403)
-
-    return decorated
--- a/api/controllers/inner_api/workspace/workspace.py
+++ b/api/controllers/inner_api/workspace/workspace.py
@@ -1,5 +1,3 @@
-import json
-
 from flask_restful import Resource, reqparse  # type: ignore

 from controllers.console.wraps import setup_required
@@ -31,34 +29,4 @@ class EnterpriseWorkspace(Resource):
        return {"message": "enterprise workspace created."}


-class EnterpriseWorkspaceNoOwnerEmail(Resource):
-    @setup_required
-    @inner_api_only
-    def post(self):
-        parser = reqparse.RequestParser()
-        parser.add_argument("name", type=str, required=True, location="json")
-        args = parser.parse_args()
-
-        tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
-
-        tenant_was_created.send(tenant)
-
-        resp = {
-            "id": tenant.id,
-            "name": tenant.name,
-            "encrypt_public_key": tenant.encrypt_public_key,
-            "plan": tenant.plan,
-            "status": tenant.status,
-            "custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
-            "created_at": tenant.created_at.isoformat() if tenant.created_at else None,
-            "updated_at": tenant.updated_at.isoformat() if tenant.updated_at else None,
-        }
-
-        return {
-            "message": "enterprise workspace created.",
-            "tenant": resp,
-        }
-
-
 api.add_resource(EnterpriseWorkspace, "/enterprise/workspace")
-api.add_resource(EnterpriseWorkspaceNoOwnerEmail, "/enterprise/workspace/ownerless")
--- a/api/controllers/service_api/init.py
+++ b/api/controllers/service_api/init.py
@@ -7,4 +7,4 @@ api = ExternalApi(bp)

 from . import index
 from .app import app, audio, completion, conversation, file, message, workflow
-from .dataset import dataset, document, hit_testing, segment, upload_file
+from .dataset import dataset, document, hit_testing, segment
--- a/api/controllers/service_api/app/completion.py
+++ b/api/controllers/service_api/app/completion.py
@@ -18,6 +18,7 @@ from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.errors.error import (
+    AppInvokeQuotaExceededError,
    ModelCurrentlyNotSupportError,
    ProviderTokenNotInitError,
    QuotaExceededError,
@@ -73,7 +74,7 @@ class CompletionApi(Resource):
            raise ProviderModelCurrentlyNotSupportError()
        except InvokeError as e:
            raise CompletionRequestError(e.description)
-        except ValueError as e:
+        except (ValueError, AppInvokeQuotaExceededError) as e:
            raise e
        except Exception as e:
            logging.exception("internal server error.")
@@ -132,7 +133,7 @@ class ChatApi(Resource):
            raise ProviderModelCurrentlyNotSupportError()
        except InvokeError as e:
            raise CompletionRequestError(e.description)
-        except ValueError as e:
+        except (ValueError, AppInvokeQuotaExceededError) as e:
            raise e
        except Exception as e:
            logging.exception("internal server error.")
--- a/api/controllers/service_api/app/message.py
+++ b/api/controllers/service_api/app/message.py
@@ -108,13 +108,7 @@ class MessageFeedbackApi(Resource):
        args = parser.parse_args()

        try:
-            MessageService.create_feedback(
-                app_model=app_model,
-                message_id=message_id,
-                user=end_user,
-                rating=args.get("rating"),
-                content=args.get("content"),
-            )
+            MessageService.create_feedback(app_model, message_id, end_user, args.get("rating"), args.get("content"))
        except services.errors.message.MessageNotExistsError:
            raise NotFound("Message Not Exists.")

--- a/api/controllers/service_api/app/workflow.py
+++ b/api/controllers/service_api/app/workflow.py
@@ -16,6 +16,7 @@ from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.errors.error import (
+    AppInvokeQuotaExceededError,
    ModelCurrentlyNotSupportError,
    ProviderTokenNotInitError,
    QuotaExceededError,
@@ -93,7 +94,7 @@ class WorkflowRunApi(Resource):
            raise ProviderModelCurrentlyNotSupportError()
        except InvokeError as e:
            raise CompletionRequestError(e.description)
-        except ValueError as e:
+        except (ValueError, AppInvokeQuotaExceededError) as e:
            raise e
        except Exception as e:
            logging.exception("internal server error.")
--- a/api/controllers/service_api/dataset/dataset.py
+++ b/api/controllers/service_api/dataset/dataset.py
@@ -31,11 +31,8 @@ class DatasetListApi(DatasetApiResource):
        # provider = request.args.get("provider", default="vendor")
        search = request.args.get("keyword", default=None, type=str)
        tag_ids = request.args.getlist("tag_ids")
-        include_all = request.args.get("include_all", default="false").lower() == "true"

-        datasets, total = DatasetService.get_datasets(
-            page, limit, tenant_id, current_user, search, tag_ids, include_all
-        )
+        datasets, total = DatasetService.get_datasets(page, limit, tenant_id, current_user, search, tag_ids)
        # check embedding setting
        provider_manager = ProviderManager()
        configurations = provider_manager.get_configurations(tenant_id=current_user.current_tenant_id)
--- a/api/controllers/service_api/dataset/document.py
+++ b/api/controllers/service_api/dataset/document.py
@@ -8,17 +8,12 @@ from werkzeug.exceptions import NotFound
 import services.dataset_service
 from controllers.common.errors import FilenameNotExistsError
 from controllers.service_api import api
-from controllers.service_api.app.error import (
-    FileTooLargeError,
-    NoFileUploadedError,
-    ProviderNotInitializeError,
-    TooManyFilesError,
-    UnsupportedFileTypeError,
-)
+from controllers.service_api.app.error import ProviderNotInitializeError
 from controllers.service_api.dataset.error import (
    ArchivedDocumentImmutableError,
    DocumentIndexingError,
-    InvalidMetadataError,
+    NoFileUploadedError,
+    TooManyFilesError,
 )
 from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
 from core.errors.error import ProviderTokenNotInitError
@@ -51,9 +46,6 @@ class DocumentAddByTextApi(DatasetApiResource):
            "indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
        )
        parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
-        parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
-        parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
-
        args = parser.parse_args()
        dataset_id = str(dataset_id)
        tenant_id = str(tenant_id)
@@ -65,28 +57,6 @@ class DocumentAddByTextApi(DatasetApiResource):
        if not dataset.indexing_technique and not args["indexing_technique"]:
            raise ValueError("indexing_technique is required.")

-        # Validate metadata if provided
-        if args.get("doc_type") or args.get("doc_metadata"):
-            if not args.get("doc_type") or not args.get("doc_metadata"):
-                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
-
-            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
-                raise InvalidMetadataError(
-                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
-                )
-
-            if not isinstance(args["doc_metadata"], dict):
-                raise InvalidMetadataError("doc_metadata must be a dictionary")
-
-            # Validate metadata schema based on doc_type
-            if args["doc_type"] != "others":
-                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
-                for key, value in args["doc_metadata"].items():
-                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
-                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
-            # set to MetaDataConfig
-            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
-
        text = args.get("text")
        name = args.get("name")
        if text is None or name is None:
@@ -133,8 +103,6 @@ class DocumentUpdateByTextApi(DatasetApiResource):
            "doc_language", type=str, default="English", required=False, nullable=False, location="json"
        )
        parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
-        parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
-        parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
        args = parser.parse_args()
        dataset_id = str(dataset_id)
        tenant_id = str(tenant_id)
@@ -143,32 +111,6 @@ class DocumentUpdateByTextApi(DatasetApiResource):
        if not dataset:
            raise ValueError("Dataset is not exist.")

-        # indexing_technique is already set in dataset since this is an update
-        args["indexing_technique"] = dataset.indexing_technique
-
-        # Validate metadata if provided
-        if args.get("doc_type") or args.get("doc_metadata"):
-            if not args.get("doc_type") or not args.get("doc_metadata"):
-                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
-
-            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
-                raise InvalidMetadataError(
-                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
-                )
-
-            if not isinstance(args["doc_metadata"], dict):
-                raise InvalidMetadataError("doc_metadata must be a dictionary")
-
-            # Validate metadata schema based on doc_type
-            if args["doc_type"] != "others":
-                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
-                for key, value in args["doc_metadata"].items():
-                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
-                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
-
-            # set to MetaDataConfig
-            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
-
        if args["text"]:
            text = args.get("text")
            name = args.get("name")
@@ -215,30 +157,6 @@ class DocumentAddByFileApi(DatasetApiResource):
            args["doc_form"] = "text_model"
        if "doc_language" not in args:
            args["doc_language"] = "English"
-
-        # Validate metadata if provided
-        if args.get("doc_type") or args.get("doc_metadata"):
-            if not args.get("doc_type") or not args.get("doc_metadata"):
-                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
-
-            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
-                raise InvalidMetadataError(
-                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
-                )
-
-            if not isinstance(args["doc_metadata"], dict):
-                raise InvalidMetadataError("doc_metadata must be a dictionary")
-
-            # Validate metadata schema based on doc_type
-            if args["doc_type"] != "others":
-                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
-                for key, value in args["doc_metadata"].items():
-                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
-                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
-
-            # set to MetaDataConfig
-            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
-
        # get dataset info
        dataset_id = str(dataset_id)
        tenant_id = str(tenant_id)
@@ -268,10 +186,7 @@ class DocumentAddByFileApi(DatasetApiResource):
            user=current_user,
            source="datasets",
        )
-        data_source = {
-            "type": "upload_file",
-            "info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
-        }
+        data_source = {"type": "upload_file", "info_list": {"file_info_list": {"file_ids": [upload_file.id]}}}
        args["data_source"] = data_source
        # validate args
        knowledge_config = KnowledgeConfig(**args)
@@ -306,29 +221,6 @@ class DocumentUpdateByFileApi(DatasetApiResource):
        if "doc_language" not in args:
            args["doc_language"] = "English"

-        # Validate metadata if provided
-        if args.get("doc_type") or args.get("doc_metadata"):
-            if not args.get("doc_type") or not args.get("doc_metadata"):
-                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
-
-            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
-                raise InvalidMetadataError(
-                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
-                )
-
-            if not isinstance(args["doc_metadata"], dict):
-                raise InvalidMetadataError("doc_metadata must be a dictionary")
-
-            # Validate metadata schema based on doc_type
-            if args["doc_type"] != "others":
-                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
-                for key, value in args["doc_metadata"].items():
-                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
-                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
-
-            # set to MetaDataConfig
-            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
-
        # get dataset info
        dataset_id = str(dataset_id)
        tenant_id = str(tenant_id)
@@ -346,22 +238,14 @@ class DocumentUpdateByFileApi(DatasetApiResource):
            if not file.filename:
                raise FilenameNotExistsError

-            try:
-                upload_file = FileService.upload_file(
-                    filename=file.filename,
-                    content=file.read(),
-                    mimetype=file.mimetype,
-                    user=current_user,
-                    source="datasets",
-                )
-            except services.errors.file.FileTooLargeError as file_too_large_error:
-                raise FileTooLargeError(file_too_large_error.description)
-            except services.errors.file.UnsupportedFileTypeError:
-                raise UnsupportedFileTypeError()
-            data_source = {
-                "type": "upload_file",
-                "info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
-            }
+            upload_file = FileService.upload_file(
+                filename=file.filename,
+                content=file.read(),
+                mimetype=file.mimetype,
+                user=current_user,
+                source="datasets",
+            )
+            data_source = {"type": "upload_file", "info_list": {"file_info_list": {"file_ids": [upload_file.id]}}}
            args["data_source"] = data_source
        # validate args
        args["original_document_id"] = str(document_id)
--- a/api/controllers/service_api/dataset/segment.py
+++ b/api/controllers/service_api/dataset/segment.py
@@ -53,7 +53,8 @@ class SegmentApi(DatasetApiResource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
@@ -94,7 +95,8 @@ class SegmentApi(DatasetApiResource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
@@ -173,7 +175,8 @@ class DatasetSegmentApi(DatasetApiResource):
                )
            except LLMBadRequestError:
                raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider."
                )
            except ProviderTokenNotInitError as ex:
                raise ProviderNotInitializeError(ex.description)
--- a/api/controllers/service_api/dataset/upload_file.py
+++ b/api/controllers/service_api/dataset/upload_file.py
@@ -1,54 +0,0 @@
-from werkzeug.exceptions import NotFound
-
-from controllers.service_api import api
-from controllers.service_api.wraps import (
-    DatasetApiResource,
-)
-from core.file import helpers as file_helpers
-from extensions.ext_database import db
-from models.dataset import Dataset
-from models.model import UploadFile
-from services.dataset_service import DocumentService
-
-
-class UploadFileApi(DatasetApiResource):
-    def get(self, tenant_id, dataset_id, document_id):
-        """Get upload file."""
-        # check dataset
-        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()
-        if not dataset:
-            raise NotFound("Dataset not found.")
-        # check document
-        document_id = str(document_id)
-        document = DocumentService.get_document(dataset.id, document_id)
-        if not document:
-            raise NotFound("Document not found.")
-        # check upload file
-        if document.data_source_type != "upload_file":
-            raise ValueError(f"Document data source type ({document.data_source_type}) is not upload_file.")
-        data_source_info = document.data_source_info_dict
-        if data_source_info and "upload_file_id" in data_source_info:
-            file_id = data_source_info["upload_file_id"]
-            upload_file = db.session.query(UploadFile).filter(UploadFile.id == file_id).first()
-            if not upload_file:
-                raise NotFound("UploadFile not found.")
-        else:
-            raise ValueError("Upload file id not found in document data source info.")
-
-        url = file_helpers.get_signed_file_url(upload_file_id=upload_file.id)
-        return {
-            "id": upload_file.id,
-            "name": upload_file.name,
-            "size": upload_file.size,
-            "extension": upload_file.extension,
-            "url": url,
-            "download_url": f"{url}&as_attachment=true",
-            "mime_type": upload_file.mime_type,
-            "created_by": upload_file.created_by,
-            "created_at": upload_file.created_at.timestamp(),
-        }, 200
-
-
-api.add_resource(UploadFileApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/upload-file")
--- a/api/controllers/service_api/wraps.py
+++ b/api/controllers/service_api/wraps.py
@@ -1,5 +1,5 @@
 from collections.abc import Callable
-from datetime import UTC, datetime, timedelta
+from datetime import UTC, datetime
 from enum import Enum
 from functools import wraps
 from typing import Optional
@@ -8,8 +8,6 @@ from flask import current_app, request
 from flask_login import user_logged_in  # type: ignore
 from flask_restful import Resource  # type: ignore
 from pydantic import BaseModel
-from sqlalchemy import select, update
-from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden, Unauthorized

 from extensions.ext_database import db
@@ -176,7 +174,7 @@ def validate_dataset_token(view=None):
    return decorator


-def validate_and_get_api_token(scope: str | None = None):
+def validate_and_get_api_token(scope=None):
    """
    Validate and get API token.
    """
@@ -190,29 +188,20 @@ def validate_and_get_api_token(scope: str | None = None):
    if auth_scheme != "bearer":
        raise Unauthorized("Authorization scheme must be 'Bearer'")

-    current_time = datetime.now(UTC).replace(tzinfo=None)
-    cutoff_time = current_time - timedelta(minutes=1)
-    with Session(db.engine, expire_on_commit=False) as session:
-        update_stmt = (
-            update(ApiToken)
-            .where(
-                ApiToken.token == auth_token,
-                (ApiToken.last_used_at.is_(None) | (ApiToken.last_used_at < cutoff_time)),
-                ApiToken.type == scope,
-            )
-            .values(last_used_at=current_time)
-            .returning(ApiToken)
+    api_token = (
+        db.session.query(ApiToken)
+        .filter(
+            ApiToken.token == auth_token,
+            ApiToken.type == scope,
        )
-        result = session.execute(update_stmt)
-        api_token = result.scalar_one_or_none()
+        .first()
+    )

-        if not api_token:
-            stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
-            api_token = session.scalar(stmt)
-            if not api_token:
-                raise Unauthorized("Access token is invalid")
-        else:
-            session.commit()
+    if not api_token:
+        raise Unauthorized("Access token is invalid")
+
+    api_token.last_used_at = datetime.now(UTC).replace(tzinfo=None)
+    db.session.commit()

    return api_token

@@ -240,7 +229,7 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
            tenant_id=app_model.tenant_id,
            app_id=app_model.id,
            type="service_api",
-            is_anonymous=user_id == "DEFAULT-USER",
+            is_anonymous=True if user_id == "DEFAULT-USER" else False,
            session_id=user_id,
        )
        db.session.add(end_user)
--- a/api/controllers/web/completion.py
+++ b/api/controllers/web/completion.py
@@ -19,11 +19,7 @@ from controllers.web.error import InvokeRateLimitError as InvokeRateLimitHttpErr
 from controllers.web.wraps import WebApiResource
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.errors.error import (
-    ModelCurrentlyNotSupportError,
-    ProviderTokenNotInitError,
-    QuotaExceededError,
-)
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from libs import helper
 from libs.helper import uuid_value
--- a/api/controllers/web/conversation.py
+++ b/api/controllers/web/conversation.py
@@ -39,7 +39,7 @@ class ConversationListApi(WebApiResource):

        pinned = None
        if "pinned" in args and args["pinned"] is not None:
-            pinned = args["pinned"] == "true"
+            pinned = True if args["pinned"] == "true" else False

        try:
            with Session(db.engine) as session:
--- a/api/controllers/web/message.py
+++ b/api/controllers/web/message.py
@@ -91,7 +91,7 @@ class MessageListApi(WebApiResource):

        try:
            return MessageService.pagination_by_first_id(
-                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
+                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
            )
        except services.errors.conversation.ConversationNotExistsError:
            raise NotFound("Conversation Not Exists.")
--- a/api/controllers/web/workflow.py
+++ b/api/controllers/web/workflow.py
@@ -14,11 +14,7 @@ from controllers.web.error import (
 from controllers.web.wraps import WebApiResource
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.errors.error import (
-    ModelCurrentlyNotSupportError,
-    ProviderTokenNotInitError,
-    QuotaExceededError,
-)
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from libs import helper
 from models.model import App, AppMode, EndUser
--- a/api/core/agent/base_agent_runner.py
+++ b/api/core/agent/base_agent_runner.py
@@ -339,13 +339,13 @@ class BaseAgentRunner(AppRunner):
            raise ValueError(f"Agent thought {agent_thought.id} not found")
        agent_thought = queried_thought

-        if thought:
+        if thought is not None:
            agent_thought.thought = thought

-        if tool_name:
+        if tool_name is not None:
            agent_thought.tool = tool_name

-        if tool_input:
+        if tool_input is not None:
            if isinstance(tool_input, dict):
                try:
                    tool_input = json.dumps(tool_input, ensure_ascii=False)
@@ -354,7 +354,7 @@ class BaseAgentRunner(AppRunner):

            agent_thought.tool_input = tool_input

-        if observation:
+        if observation is not None:
            if isinstance(observation, dict):
                try:
                    observation = json.dumps(observation, ensure_ascii=False)
@@ -363,7 +363,7 @@ class BaseAgentRunner(AppRunner):

            agent_thought.observation = observation

-        if answer:
+        if answer is not None:
            agent_thought.answer = answer

        if messages_ids is not None and len(messages_ids) > 0:
--- a/api/core/agent/cot_agent_runner.py
+++ b/api/core/agent/cot_agent_runner.py
@@ -172,7 +172,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):

            self.save_agent_thought(
                agent_thought=agent_thought,
-                tool_name=(scratchpad.action.action_name if scratchpad.action and not scratchpad.is_final() else ""),
+                tool_name=scratchpad.action.action_name if scratchpad.action else "",
                tool_input={scratchpad.action.action_name: scratchpad.action.action_input} if scratchpad.action else {},
                tool_invoke_meta={},
                thought=scratchpad.thought or "",
--- a/api/core/app/apps/advanced_chat/app_generator.py
+++ b/api/core/app/apps/advanced_chat/app_generator.py
@@ -21,7 +21,7 @@ from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
 from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
 from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom
 from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotAppStreamResponse
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
 from core.ops.ops_trace_manager import TraceQueueManager
 from core.prompt.utils.get_thread_messages_length import get_thread_messages_length
 from extensions.ext_database import db
@@ -336,7 +336,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            except ValidationError as e:
                logger.exception("Validation Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except ValueError as e:
+            except (ValueError, InvokeError) as e:
                if dify_config.DEBUG:
                    logger.exception("Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
--- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py
+++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py
@@ -67,17 +67,24 @@ from models.account import Account
 from models.enums import CreatedByRole
 from models.workflow import (
    Workflow,
+    WorkflowNodeExecution,
    WorkflowRunStatus,
 )

 logger = logging.getLogger(__name__)


-class AdvancedChatAppGenerateTaskPipeline:
+class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleManage, MessageCycleManage):
    """
    AdvancedChatAppGenerateTaskPipeline is a class that generate stream output and state management for Application.
    """

+    _task_state: WorkflowTaskState
+    _application_generate_entity: AdvancedChatAppGenerateEntity
+    _workflow_system_variables: dict[SystemVariableKey, Any]
+    _wip_workflow_node_executions: dict[str, WorkflowNodeExecution]
+    _conversation_name_generate_thread: Optional[Thread] = None
+
    def __init__(
        self,
        application_generate_entity: AdvancedChatAppGenerateEntity,
@@ -89,7 +96,7 @@ class AdvancedChatAppGenerateTaskPipeline:
        stream: bool,
        dialogue_count: int,
    ) -> None:
-        self._base_task_pipeline = BasedGenerateTaskPipeline(
+        super().__init__(
            application_generate_entity=application_generate_entity,
            queue_manager=queue_manager,
            stream=stream,
@@ -106,35 +113,32 @@ class AdvancedChatAppGenerateTaskPipeline:
        else:
            raise NotImplementedError(f"User type not supported: {type(user)}")

-        self._workflow_cycle_manager = WorkflowCycleManage(
-            application_generate_entity=application_generate_entity,
-            workflow_system_variables={
-                SystemVariableKey.QUERY: message.query,
-                SystemVariableKey.FILES: application_generate_entity.files,
-                SystemVariableKey.CONVERSATION_ID: conversation.id,
-                SystemVariableKey.USER_ID: user_session_id,
-                SystemVariableKey.DIALOGUE_COUNT: dialogue_count,
-                SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
-                SystemVariableKey.WORKFLOW_ID: workflow.id,
-                SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
-            },
-        )
-
-        self._task_state = WorkflowTaskState()
-        self._message_cycle_manager = MessageCycleManage(
-            application_generate_entity=application_generate_entity, task_state=self._task_state
-        )
-
-        self._application_generate_entity = application_generate_entity
        self._workflow_id = workflow.id
        self._workflow_features_dict = workflow.features_dict
+
        self._conversation_id = conversation.id
        self._conversation_mode = conversation.mode
+
        self._message_id = message.id
        self._message_created_at = int(message.created_at.timestamp())
-        self._conversation_name_generate_thread: Thread | None = None
+
+        self._workflow_system_variables = {
+            SystemVariableKey.QUERY: message.query,
+            SystemVariableKey.FILES: application_generate_entity.files,
+            SystemVariableKey.CONVERSATION_ID: conversation.id,
+            SystemVariableKey.USER_ID: user_session_id,
+            SystemVariableKey.DIALOGUE_COUNT: dialogue_count,
+            SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
+            SystemVariableKey.WORKFLOW_ID: workflow.id,
+            SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
+        }
+
+        self._task_state = WorkflowTaskState()
+        self._wip_workflow_node_executions = {}
+
+        self._conversation_name_generate_thread = None
        self._recorded_files: list[Mapping[str, Any]] = []
-        self._workflow_run_id: str = ""
+        self._workflow_run_id = ""

    def process(self) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]:
        """
@@ -142,13 +146,13 @@ class AdvancedChatAppGenerateTaskPipeline:
        :return:
        """
        # start generate conversation name thread
-        self._conversation_name_generate_thread = self._message_cycle_manager._generate_conversation_name(
+        self._conversation_name_generate_thread = self._generate_conversation_name(
            conversation_id=self._conversation_id, query=self._application_generate_entity.query
        )

        generator = self._wrapper_process_stream_response(trace_manager=self._application_generate_entity.trace_manager)

-        if self._base_task_pipeline._stream:
+        if self._stream:
            return self._to_stream_response(generator)
        else:
            return self._to_blocking_response(generator)
@@ -265,26 +269,24 @@ class AdvancedChatAppGenerateTaskPipeline:
        # init fake graph runtime state
        graph_runtime_state: Optional[GraphRuntimeState] = None

-        for queue_message in self._base_task_pipeline._queue_manager.listen():
+        for queue_message in self._queue_manager.listen():
            event = queue_message.event

            if isinstance(event, QueuePingEvent):
-                yield self._base_task_pipeline._ping_stream_response()
+                yield self._ping_stream_response()
            elif isinstance(event, QueueErrorEvent):
-                with Session(db.engine, expire_on_commit=False) as session:
-                    err = self._base_task_pipeline._handle_error(
-                        event=event, session=session, message_id=self._message_id
-                    )
+                with Session(db.engine) as session:
+                    err = self._handle_error(event=event, session=session, message_id=self._message_id)
                    session.commit()
-                yield self._base_task_pipeline._error_to_stream_response(err)
+                yield self._error_to_stream_response(err)
                break
            elif isinstance(event, QueueWorkflowStartedEvent):
                # override graph runtime state
                graph_runtime_state = event.graph_runtime_state

-                with Session(db.engine, expire_on_commit=False) as session:
+                with Session(db.engine) as session:
                    # init workflow run
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_start(
+                    workflow_run = self._handle_workflow_run_start(
                        session=session,
                        workflow_id=self._workflow_id,
                        user_id=self._user_id,
@@ -295,7 +297,7 @@ class AdvancedChatAppGenerateTaskPipeline:
                    if not message:
                        raise ValueError(f"Message not found: {self._message_id}")
                    message.workflow_run_id = workflow_run.id
-                    workflow_start_resp = self._workflow_cycle_manager._workflow_start_to_stream_response(
+                    workflow_start_resp = self._workflow_start_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    session.commit()
@@ -308,14 +310,12 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    workflow_node_execution = self._handle_workflow_node_execution_retried(
                        session=session, workflow_run=workflow_run, event=event
                    )
-                    node_retry_resp = self._workflow_cycle_manager._workflow_node_retry_to_stream_response(
+                    node_retry_resp = self._workflow_node_retry_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -329,15 +329,13 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    workflow_node_execution = self._handle_node_execution_start(
                        session=session, workflow_run=workflow_run, event=event
                    )

-                    node_start_resp = self._workflow_cycle_manager._workflow_node_start_to_stream_response(
+                    node_start_resp = self._workflow_node_start_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -350,16 +348,12 @@ class AdvancedChatAppGenerateTaskPipeline:
            elif isinstance(event, QueueNodeSucceededEvent):
                # Record files if it's an answer node or end node
                if event.node_type in [NodeType.ANSWER, NodeType.END]:
-                    self._recorded_files.extend(
-                        self._workflow_cycle_manager._fetch_files_from_node_outputs(event.outputs or {})
-                    )
+                    self._recorded_files.extend(self._fetch_files_from_node_outputs(event.outputs or {}))

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success(
-                        session=session, event=event
-                    )
+                with Session(db.engine) as session:
+                    workflow_node_execution = self._handle_workflow_node_execution_success(session=session, event=event)

-                    node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
+                    node_finish_resp = self._workflow_node_finish_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -370,12 +364,10 @@ class AdvancedChatAppGenerateTaskPipeline:
                if node_finish_resp:
                    yield node_finish_resp
            elif isinstance(event, QueueNodeFailedEvent | QueueNodeInIterationFailedEvent | QueueNodeExceptionEvent):
-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed(
-                        session=session, event=event
-                    )
+                with Session(db.engine) as session:
+                    workflow_node_execution = self._handle_workflow_node_execution_failed(session=session, event=event)

-                    node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
+                    node_finish_resp = self._workflow_node_finish_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -389,17 +381,13 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    parallel_start_resp = (
-                        self._workflow_cycle_manager._workflow_parallel_branch_start_to_stream_response(
-                            session=session,
-                            task_id=self._application_generate_entity.task_id,
-                            workflow_run=workflow_run,
-                            event=event,
-                        )
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    parallel_start_resp = self._workflow_parallel_branch_start_to_stream_response(
+                        session=session,
+                        task_id=self._application_generate_entity.task_id,
+                        workflow_run=workflow_run,
+                        event=event,
                    )

                yield parallel_start_resp
@@ -407,17 +395,13 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    parallel_finish_resp = (
-                        self._workflow_cycle_manager._workflow_parallel_branch_finished_to_stream_response(
-                            session=session,
-                            task_id=self._application_generate_entity.task_id,
-                            workflow_run=workflow_run,
-                            event=event,
-                        )
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    parallel_finish_resp = self._workflow_parallel_branch_finished_to_stream_response(
+                        session=session,
+                        task_id=self._application_generate_entity.task_id,
+                        workflow_run=workflow_run,
+                        event=event,
                    )

                yield parallel_finish_resp
@@ -425,11 +409,9 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    iter_start_resp = self._workflow_cycle_manager._workflow_iteration_start_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    iter_start_resp = self._workflow_iteration_start_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -441,11 +423,9 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    iter_next_resp = self._workflow_cycle_manager._workflow_iteration_next_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    iter_next_resp = self._workflow_iteration_next_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -457,11 +437,9 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    iter_finish_resp = self._workflow_cycle_manager._workflow_iteration_completed_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    iter_finish_resp = self._workflow_iteration_completed_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -476,8 +454,8 @@ class AdvancedChatAppGenerateTaskPipeline:
                if not graph_runtime_state:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_success(
+                with Session(db.engine) as session:
+                    workflow_run = self._handle_workflow_run_success(
                        session=session,
                        workflow_run_id=self._workflow_run_id,
                        start_at=graph_runtime_state.start_at,
@@ -488,23 +466,21 @@ class AdvancedChatAppGenerateTaskPipeline:
                        trace_manager=trace_manager,
                    )

-                    workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                    workflow_finish_resp = self._workflow_finish_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    session.commit()

                yield workflow_finish_resp
-                self._base_task_pipeline._queue_manager.publish(
-                    QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE
-                )
+                self._queue_manager.publish(QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE)
            elif isinstance(event, QueueWorkflowPartialSuccessEvent):
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")
                if not graph_runtime_state:
                    raise ValueError("graph runtime state not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_partial_success(
+                with Session(db.engine) as session:
+                    workflow_run = self._handle_workflow_run_partial_success(
                        session=session,
                        workflow_run_id=self._workflow_run_id,
                        start_at=graph_runtime_state.start_at,
@@ -515,23 +491,21 @@ class AdvancedChatAppGenerateTaskPipeline:
                        conversation_id=None,
                        trace_manager=trace_manager,
                    )
-                    workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                    workflow_finish_resp = self._workflow_finish_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    session.commit()

                yield workflow_finish_resp
-                self._base_task_pipeline._queue_manager.publish(
-                    QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE
-                )
+                self._queue_manager.publish(QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE)
            elif isinstance(event, QueueWorkflowFailedEvent):
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")
                if not graph_runtime_state:
                    raise ValueError("graph runtime state not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_failed(
+                with Session(db.engine) as session:
+                    workflow_run = self._handle_workflow_run_failed(
                        session=session,
                        workflow_run_id=self._workflow_run_id,
                        start_at=graph_runtime_state.start_at,
@@ -543,22 +517,20 @@ class AdvancedChatAppGenerateTaskPipeline:
                        trace_manager=trace_manager,
                        exceptions_count=event.exceptions_count,
                    )
-                    workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                    workflow_finish_resp = self._workflow_finish_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    err_event = QueueErrorEvent(error=ValueError(f"Run failed: {workflow_run.error}"))
-                    err = self._base_task_pipeline._handle_error(
-                        event=err_event, session=session, message_id=self._message_id
-                    )
+                    err = self._handle_error(event=err_event, session=session, message_id=self._message_id)
                    session.commit()

                yield workflow_finish_resp
-                yield self._base_task_pipeline._error_to_stream_response(err)
+                yield self._error_to_stream_response(err)
                break
            elif isinstance(event, QueueStopEvent):
                if self._workflow_run_id and graph_runtime_state:
-                    with Session(db.engine, expire_on_commit=False) as session:
-                        workflow_run = self._workflow_cycle_manager._handle_workflow_run_failed(
+                    with Session(db.engine) as session:
+                        workflow_run = self._handle_workflow_run_failed(
                            session=session,
                            workflow_run_id=self._workflow_run_id,
                            start_at=graph_runtime_state.start_at,
@@ -569,7 +541,7 @@ class AdvancedChatAppGenerateTaskPipeline:
                            conversation_id=self._conversation_id,
                            trace_manager=trace_manager,
                        )
-                        workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                        workflow_finish_resp = self._workflow_finish_to_stream_response(
                            session=session,
                            task_id=self._application_generate_entity.task_id,
                            workflow_run=workflow_run,
@@ -583,18 +555,18 @@ class AdvancedChatAppGenerateTaskPipeline:
                yield self._message_end_to_stream_response()
                break
            elif isinstance(event, QueueRetrieverResourcesEvent):
-                self._message_cycle_manager._handle_retriever_resources(event)
+                self._handle_retriever_resources(event)

-                with Session(db.engine, expire_on_commit=False) as session:
+                with Session(db.engine) as session:
                    message = self._get_message(session=session)
                    message.message_metadata = (
                        json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None
                    )
                    session.commit()
            elif isinstance(event, QueueAnnotationReplyEvent):
-                self._message_cycle_manager._handle_annotation_reply(event)
+                self._handle_annotation_reply(event)

-                with Session(db.engine, expire_on_commit=False) as session:
+                with Session(db.engine) as session:
                    message = self._get_message(session=session)
                    message.message_metadata = (
                        json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None
@@ -615,27 +587,23 @@ class AdvancedChatAppGenerateTaskPipeline:
                    tts_publisher.publish(queue_message)

                self._task_state.answer += delta_text
-                yield self._message_cycle_manager._message_to_stream_response(
+                yield self._message_to_stream_response(
                    answer=delta_text, message_id=self._message_id, from_variable_selector=event.from_variable_selector
                )
            elif isinstance(event, QueueMessageReplaceEvent):
                # published by moderation
-                yield self._message_cycle_manager._message_replace_to_stream_response(answer=event.text)
+                yield self._message_replace_to_stream_response(answer=event.text)
            elif isinstance(event, QueueAdvancedChatMessageEndEvent):
                if not graph_runtime_state:
                    raise ValueError("graph runtime state not initialized.")

-                output_moderation_answer = self._base_task_pipeline._handle_output_moderation_when_task_finished(
-                    self._task_state.answer
-                )
+                output_moderation_answer = self._handle_output_moderation_when_task_finished(self._task_state.answer)
                if output_moderation_answer:
                    self._task_state.answer = output_moderation_answer
-                    yield self._message_cycle_manager._message_replace_to_stream_response(
-                        answer=output_moderation_answer
-                    )
+                    yield self._message_replace_to_stream_response(answer=output_moderation_answer)

                # Save message
-                with Session(db.engine, expire_on_commit=False) as session:
+                with Session(db.engine) as session:
                    self._save_message(session=session, graph_runtime_state=graph_runtime_state)
                    session.commit()

@@ -653,7 +621,7 @@ class AdvancedChatAppGenerateTaskPipeline:
    def _save_message(self, *, session: Session, graph_runtime_state: Optional[GraphRuntimeState] = None) -> None:
        message = self._get_message(session=session)
        message.answer = self._task_state.answer
-        message.provider_response_latency = time.perf_counter() - self._base_task_pipeline._start_at
+        message.provider_response_latency = time.perf_counter() - self._start_at
        message.message_metadata = (
            json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None
        )
@@ -717,20 +685,20 @@ class AdvancedChatAppGenerateTaskPipeline:
        :param text: text
        :return: True if output moderation should direct output, otherwise False
        """
-        if self._base_task_pipeline._output_moderation_handler:
-            if self._base_task_pipeline._output_moderation_handler.should_direct_output():
+        if self._output_moderation_handler:
+            if self._output_moderation_handler.should_direct_output():
                # stop subscribe new token when output moderation should direct output
-                self._task_state.answer = self._base_task_pipeline._output_moderation_handler.get_final_output()
-                self._base_task_pipeline._queue_manager.publish(
+                self._task_state.answer = self._output_moderation_handler.get_final_output()
+                self._queue_manager.publish(
                    QueueTextChunkEvent(text=self._task_state.answer), PublishFrom.TASK_PIPELINE
                )

-                self._base_task_pipeline._queue_manager.publish(
+                self._queue_manager.publish(
                    QueueStopEvent(stopped_by=QueueStopEvent.StopBy.OUTPUT_MODERATION), PublishFrom.TASK_PIPELINE
                )
                return True
            else:
-                self._base_task_pipeline._output_moderation_handler.append_new_token(text)
+                self._output_moderation_handler.append_new_token(text)

        return False

--- a/api/core/app/apps/agent_chat/app_generator.py
+++ b/api/core/app/apps/agent_chat/app_generator.py
@@ -18,7 +18,7 @@ from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskSt
 from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
 from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
 from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity, InvokeFrom
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
 from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
@@ -245,7 +245,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
            except ValidationError as e:
                logger.exception("Validation Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except ValueError as e:
+            except (ValueError, InvokeError) as e:
                if dify_config.DEBUG:
                    logger.exception("Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
--- a/api/core/app/apps/agent_chat/app_runner.py
+++ b/api/core/app/apps/agent_chat/app_runner.py
@@ -202,7 +202,7 @@ class AgentChatAppRunner(AppRunner):
        # change function call strategy based on LLM model
        llm_model = cast(LargeLanguageModel, model_instance.model_type_instance)
        model_schema = llm_model.get_model_schema(model_instance.model, model_instance.credentials)
-        if not model_schema:
+        if not model_schema or not model_schema.features:
            raise ValueError("Model schema not found")

        if {ModelFeature.MULTI_TOOL_CALL, ModelFeature.TOOL_CALL}.intersection(model_schema.features or []):
--- a/api/core/app/apps/base_app_queue_manager.py
+++ b/api/core/app/apps/base_app_queue_manager.py
@@ -167,7 +167,8 @@ class AppQueueManager:
        else:
            if isinstance(data, DeclarativeMeta) or hasattr(data, "_sa_instance_state"):
                raise TypeError(
-                    "Critical Error: Passing SQLAlchemy Model instances that cause thread safety issues is not allowed."
+                    "Critical Error: Passing SQLAlchemy Model instances "
+                    "that cause thread safety issues is not allowed."
                )


--- a/api/core/app/apps/chat/app_generator.py
+++ b/api/core/app/apps/chat/app_generator.py
@@ -18,7 +18,7 @@ from core.app.apps.chat.generate_response_converter import ChatAppGenerateRespon
 from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
 from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
 from core.app.entities.app_invoke_entities import ChatAppGenerateEntity, InvokeFrom
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
 from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
@@ -237,7 +237,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
            except ValidationError as e:
                logger.exception("Validation Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except ValueError as e:
+            except (ValueError, InvokeError) as e:
                if dify_config.DEBUG:
                    logger.exception("Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
--- a/api/core/app/apps/completion/app_generator.py
+++ b/api/core/app/apps/completion/app_generator.py
@@ -17,7 +17,7 @@ from core.app.apps.completion.generate_response_converter import CompletionAppGe
 from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
 from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
 from core.app.entities.app_invoke_entities import CompletionAppGenerateEntity, InvokeFrom
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
 from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
@@ -214,7 +214,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
            except ValidationError as e:
                logger.exception("Validation Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except ValueError as e:
+            except (ValueError, InvokeError) as e:
                if dify_config.DEBUG:
                    logger.exception("Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
--- a/api/core/app/apps/message_based_app_generator.py
+++ b/api/core/app/apps/message_based_app_generator.py
@@ -89,7 +89,6 @@ class MessageBasedAppGenerator(BaseAppGenerator):
            Conversation.id == conversation_id,
            Conversation.app_id == app_model.id,
            Conversation.status == "normal",
-            Conversation.is_deleted.is_(False),
        ]

        if isinstance(user, Account):
--- a/api/core/app/apps/workflow/app_generator.py
+++ b/api/core/app/apps/workflow/app_generator.py
@@ -20,7 +20,7 @@ from core.app.apps.workflow.generate_response_converter import WorkflowAppGenera
 from core.app.apps.workflow.generate_task_pipeline import WorkflowAppGenerateTaskPipeline
 from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerateEntity
 from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
 from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
@@ -221,7 +221,6 @@ class WorkflowAppGenerator(BaseAppGenerator):
            single_iteration_run=WorkflowAppGenerateEntity.SingleIterationRunEntity(
                node_id=node_id, inputs=args["inputs"]
            ),
-            workflow_run_id=str(uuid.uuid4()),
        )
        contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)

@@ -271,7 +270,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
            except ValidationError as e:
                logger.exception("Validation Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except ValueError as e:
+            except (ValueError, InvokeError) as e:
                if dify_config.DEBUG:
                    logger.exception("Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
--- a/api/core/app/apps/workflow/generate_task_pipeline.py
+++ b/api/core/app/apps/workflow/generate_task_pipeline.py
@@ -1,7 +1,7 @@
 import logging
 import time
 from collections.abc import Generator
-from typing import Optional, Union
+from typing import Any, Optional, Union

 from sqlalchemy.orm import Session

@@ -58,6 +58,7 @@ from models.workflow import (
    Workflow,
    WorkflowAppLog,
    WorkflowAppLogCreatedFrom,
+    WorkflowNodeExecution,
    WorkflowRun,
    WorkflowRunStatus,
 )
@@ -65,11 +66,16 @@ from models.workflow import (
 logger = logging.getLogger(__name__)


-class WorkflowAppGenerateTaskPipeline:
+class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleManage):
    """
    WorkflowAppGenerateTaskPipeline is a class that generate stream output and state management for Application.
    """

+    _task_state: WorkflowTaskState
+    _application_generate_entity: WorkflowAppGenerateEntity
+    _workflow_system_variables: dict[SystemVariableKey, Any]
+    _wip_workflow_node_executions: dict[str, WorkflowNodeExecution]
+
    def __init__(
        self,
        application_generate_entity: WorkflowAppGenerateEntity,
@@ -78,7 +84,7 @@ class WorkflowAppGenerateTaskPipeline:
        user: Union[Account, EndUser],
        stream: bool,
    ) -> None:
-        self._base_task_pipeline = BasedGenerateTaskPipeline(
+        super().__init__(
            application_generate_entity=application_generate_entity,
            queue_manager=queue_manager,
            stream=stream,
@@ -95,21 +101,19 @@ class WorkflowAppGenerateTaskPipeline:
        else:
            raise ValueError(f"Invalid user type: {type(user)}")

-        self._workflow_cycle_manager = WorkflowCycleManage(
-            application_generate_entity=application_generate_entity,
-            workflow_system_variables={
-                SystemVariableKey.FILES: application_generate_entity.files,
-                SystemVariableKey.USER_ID: user_session_id,
-                SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
-                SystemVariableKey.WORKFLOW_ID: workflow.id,
-                SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
-            },
-        )
-
-        self._application_generate_entity = application_generate_entity
        self._workflow_id = workflow.id
        self._workflow_features_dict = workflow.features_dict
+
+        self._workflow_system_variables = {
+            SystemVariableKey.FILES: application_generate_entity.files,
+            SystemVariableKey.USER_ID: user_session_id,
+            SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id,
+            SystemVariableKey.WORKFLOW_ID: workflow.id,
+            SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
+        }
+
        self._task_state = WorkflowTaskState()
+        self._wip_workflow_node_executions = {}
        self._workflow_run_id = ""

    def process(self) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
@@ -118,7 +122,7 @@ class WorkflowAppGenerateTaskPipeline:
        :return:
        """
        generator = self._wrapper_process_stream_response(trace_manager=self._application_generate_entity.trace_manager)
-        if self._base_task_pipeline._stream:
+        if self._stream:
            return self._to_stream_response(generator)
        else:
            return self._to_blocking_response(generator)
@@ -233,29 +237,29 @@ class WorkflowAppGenerateTaskPipeline:
        """
        graph_runtime_state = None

-        for queue_message in self._base_task_pipeline._queue_manager.listen():
+        for queue_message in self._queue_manager.listen():
            event = queue_message.event

            if isinstance(event, QueuePingEvent):
-                yield self._base_task_pipeline._ping_stream_response()
+                yield self._ping_stream_response()
            elif isinstance(event, QueueErrorEvent):
-                err = self._base_task_pipeline._handle_error(event=event)
-                yield self._base_task_pipeline._error_to_stream_response(err)
+                err = self._handle_error(event=event)
+                yield self._error_to_stream_response(err)
                break
            elif isinstance(event, QueueWorkflowStartedEvent):
                # override graph runtime state
                graph_runtime_state = event.graph_runtime_state

-                with Session(db.engine, expire_on_commit=False) as session:
+                with Session(db.engine) as session:
                    # init workflow run
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_start(
+                    workflow_run = self._handle_workflow_run_start(
                        session=session,
                        workflow_id=self._workflow_id,
                        user_id=self._user_id,
                        created_by_role=self._created_by_role,
                    )
                    self._workflow_run_id = workflow_run.id
-                    start_resp = self._workflow_cycle_manager._workflow_start_to_stream_response(
+                    start_resp = self._workflow_start_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    session.commit()
@@ -267,14 +271,12 @@ class WorkflowAppGenerateTaskPipeline:
            ):
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")
-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    workflow_node_execution = self._handle_workflow_node_execution_retried(
                        session=session, workflow_run=workflow_run, event=event
                    )
-                    response = self._workflow_cycle_manager._workflow_node_retry_to_stream_response(
+                    response = self._workflow_node_retry_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -288,14 +290,12 @@ class WorkflowAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    workflow_node_execution = self._handle_node_execution_start(
                        session=session, workflow_run=workflow_run, event=event
                    )
-                    node_start_response = self._workflow_cycle_manager._workflow_node_start_to_stream_response(
+                    node_start_response = self._workflow_node_start_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -306,11 +306,9 @@ class WorkflowAppGenerateTaskPipeline:
                if node_start_response:
                    yield node_start_response
            elif isinstance(event, QueueNodeSucceededEvent):
-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success(
-                        session=session, event=event
-                    )
-                    node_success_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_node_execution = self._handle_workflow_node_execution_success(session=session, event=event)
+                    node_success_response = self._workflow_node_finish_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -321,12 +319,12 @@ class WorkflowAppGenerateTaskPipeline:
                if node_success_response:
                    yield node_success_response
            elif isinstance(event, QueueNodeFailedEvent | QueueNodeInIterationFailedEvent | QueueNodeExceptionEvent):
-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed(
+                with Session(db.engine) as session:
+                    workflow_node_execution = self._handle_workflow_node_execution_failed(
                        session=session,
                        event=event,
                    )
-                    node_failed_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
+                    node_failed_response = self._workflow_node_finish_to_stream_response(
                        session=session,
                        event=event,
                        task_id=self._application_generate_entity.task_id,
@@ -341,17 +339,13 @@ class WorkflowAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    parallel_start_resp = (
-                        self._workflow_cycle_manager._workflow_parallel_branch_start_to_stream_response(
-                            session=session,
-                            task_id=self._application_generate_entity.task_id,
-                            workflow_run=workflow_run,
-                            event=event,
-                        )
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    parallel_start_resp = self._workflow_parallel_branch_start_to_stream_response(
+                        session=session,
+                        task_id=self._application_generate_entity.task_id,
+                        workflow_run=workflow_run,
+                        event=event,
                    )

                yield parallel_start_resp
@@ -360,17 +354,13 @@ class WorkflowAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    parallel_finish_resp = (
-                        self._workflow_cycle_manager._workflow_parallel_branch_finished_to_stream_response(
-                            session=session,
-                            task_id=self._application_generate_entity.task_id,
-                            workflow_run=workflow_run,
-                            event=event,
-                        )
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    parallel_finish_resp = self._workflow_parallel_branch_finished_to_stream_response(
+                        session=session,
+                        task_id=self._application_generate_entity.task_id,
+                        workflow_run=workflow_run,
+                        event=event,
                    )

                yield parallel_finish_resp
@@ -379,11 +369,9 @@ class WorkflowAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    iter_start_resp = self._workflow_cycle_manager._workflow_iteration_start_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    iter_start_resp = self._workflow_iteration_start_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -396,11 +384,9 @@ class WorkflowAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    iter_next_resp = self._workflow_cycle_manager._workflow_iteration_next_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    iter_next_resp = self._workflow_iteration_next_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -413,11 +399,9 @@ class WorkflowAppGenerateTaskPipeline:
                if not self._workflow_run_id:
                    raise ValueError("workflow run not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._get_workflow_run(
-                        session=session, workflow_run_id=self._workflow_run_id
-                    )
-                    iter_finish_resp = self._workflow_cycle_manager._workflow_iteration_completed_to_stream_response(
+                with Session(db.engine) as session:
+                    workflow_run = self._get_workflow_run(session=session, workflow_run_id=self._workflow_run_id)
+                    iter_finish_resp = self._workflow_iteration_completed_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -432,8 +416,8 @@ class WorkflowAppGenerateTaskPipeline:
                if not graph_runtime_state:
                    raise ValueError("graph runtime state not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_success(
+                with Session(db.engine) as session:
+                    workflow_run = self._handle_workflow_run_success(
                        session=session,
                        workflow_run_id=self._workflow_run_id,
                        start_at=graph_runtime_state.start_at,
@@ -447,7 +431,7 @@ class WorkflowAppGenerateTaskPipeline:
                    # save workflow app log
                    self._save_workflow_app_log(session=session, workflow_run=workflow_run)

-                    workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                    workflow_finish_resp = self._workflow_finish_to_stream_response(
                        session=session,
                        task_id=self._application_generate_entity.task_id,
                        workflow_run=workflow_run,
@@ -461,8 +445,8 @@ class WorkflowAppGenerateTaskPipeline:
                if not graph_runtime_state:
                    raise ValueError("graph runtime state not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_partial_success(
+                with Session(db.engine) as session:
+                    workflow_run = self._handle_workflow_run_partial_success(
                        session=session,
                        workflow_run_id=self._workflow_run_id,
                        start_at=graph_runtime_state.start_at,
@@ -477,7 +461,7 @@ class WorkflowAppGenerateTaskPipeline:
                    # save workflow app log
                    self._save_workflow_app_log(session=session, workflow_run=workflow_run)

-                    workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                    workflow_finish_resp = self._workflow_finish_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    session.commit()
@@ -489,8 +473,8 @@ class WorkflowAppGenerateTaskPipeline:
                if not graph_runtime_state:
                    raise ValueError("graph runtime state not initialized.")

-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow_run = self._workflow_cycle_manager._handle_workflow_run_failed(
+                with Session(db.engine) as session:
+                    workflow_run = self._handle_workflow_run_failed(
                        session=session,
                        workflow_run_id=self._workflow_run_id,
                        start_at=graph_runtime_state.start_at,
@@ -508,7 +492,7 @@ class WorkflowAppGenerateTaskPipeline:
                    # save workflow app log
                    self._save_workflow_app_log(session=session, workflow_run=workflow_run)

-                    workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response(
+                    workflow_finish_resp = self._workflow_finish_to_stream_response(
                        session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run
                    )
                    session.commit()
--- a/api/core/app/entities/app_invoke_entities.py
+++ b/api/core/app/entities/app_invoke_entities.py
@@ -195,7 +195,7 @@ class WorkflowAppGenerateEntity(AppGenerateEntity):

    # app config
    app_config: WorkflowUIBasedAppConfig
-    workflow_run_id: str
+    workflow_run_id: Optional[str] = None

    class SingleIterationRunEntity(BaseModel):
        """
--- a/api/core/app/task_pipeline/based_generate_task_pipeline.py
+++ b/api/core/app/task_pipeline/based_generate_task_pipeline.py
@@ -15,6 +15,7 @@ from core.app.entities.queue_entities import (
 from core.app.entities.task_entities import (
    ErrorStreamResponse,
    PingStreamResponse,
+    TaskState,
 )
 from core.errors.error import QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
@@ -29,12 +30,22 @@ class BasedGenerateTaskPipeline:
    BasedGenerateTaskPipeline is a class that generate stream output and state management for Application.
    """

+    _task_state: TaskState
+    _application_generate_entity: AppGenerateEntity
+
    def __init__(
        self,
        application_generate_entity: AppGenerateEntity,
        queue_manager: AppQueueManager,
        stream: bool,
    ) -> None:
+        """
+        Initialize GenerateTaskPipeline.
+        :param application_generate_entity: application generate entity
+        :param queue_manager: queue manager
+        :param user: user
+        :param stream: stream
+        """
        self._application_generate_entity = application_generate_entity
        self._queue_manager = queue_manager
        self._start_at = time.perf_counter()
--- a/api/core/app/task_pipeline/message_cycle_manage.py
+++ b/api/core/app/task_pipeline/message_cycle_manage.py
@@ -31,19 +31,10 @@ from services.annotation_service import AppAnnotationService


 class MessageCycleManage:
-    def __init__(
-        self,
-        *,
-        application_generate_entity: Union[
-            ChatAppGenerateEntity,
-            CompletionAppGenerateEntity,
-            AgentChatAppGenerateEntity,
-            AdvancedChatAppGenerateEntity,
-        ],
-        task_state: Union[EasyUITaskState, WorkflowTaskState],
-    ) -> None:
-        self._application_generate_entity = application_generate_entity
-        self._task_state = task_state
+    _application_generate_entity: Union[
+        ChatAppGenerateEntity, CompletionAppGenerateEntity, AgentChatAppGenerateEntity, AdvancedChatAppGenerateEntity
+    ]
+    _task_state: Union[EasyUITaskState, WorkflowTaskState]

    def _generate_conversation_name(self, *, conversation_id: str, query: str) -> Optional[Thread]:
        """
@@ -145,7 +136,7 @@ class MessageCycleManage:

            # get extension
            if "." in message_file.url:
-                extension = f".{message_file.url.split('.')[-1]}"
+                extension = f'.{message_file.url.split(".")[-1]}'
                if len(extension) > 10:
                    extension = ".bin"
            else:
--- a/api/core/app/task_pipeline/workflow_cycle_manage.py
+++ b/api/core/app/task_pipeline/workflow_cycle_manage.py
@@ -34,6 +34,7 @@ from core.app.entities.task_entities import (
    ParallelBranchStartStreamResponse,
    WorkflowFinishStreamResponse,
    WorkflowStartStreamResponse,
+    WorkflowTaskState,
 )
 from core.file import FILE_MODEL_IDENTITY, File
 from core.model_runtime.utils.encoders import jsonable_encoder
@@ -57,20 +58,13 @@ from models.workflow import (
    WorkflowRunStatus,
 )

-from .exc import WorkflowRunNotFoundError
+from .exc import WorkflowNodeExecutionNotFoundError, WorkflowRunNotFoundError


 class WorkflowCycleManage:
-    def __init__(
-        self,
-        *,
-        application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity],
-        workflow_system_variables: dict[SystemVariableKey, Any],
-    ) -> None:
-        self._workflow_run: WorkflowRun | None = None
-        self._workflow_node_executions: dict[str, WorkflowNodeExecution] = {}
-        self._application_generate_entity = application_generate_entity
-        self._workflow_system_variables = workflow_system_variables
+    _application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity]
+    _task_state: WorkflowTaskState
+    _workflow_system_variables: dict[SystemVariableKey, Any]

    def _handle_workflow_run_start(
        self,
@@ -108,8 +102,7 @@ class WorkflowCycleManage:
        inputs = dict(WorkflowEntry.handle_special_values(inputs) or {})

        # init workflow run
-        # TODO: This workflow_run_id should always not be None, maybe we can use a more elegant way to handle this
-        workflow_run_id = str(self._workflow_system_variables.get(SystemVariableKey.WORKFLOW_RUN_ID) or uuid4())
+        workflow_run_id = str(self._workflow_system_variables.get(SystemVariableKey.WORKFLOW_RUN_ID, uuid4()))

        workflow_run = WorkflowRun()
        workflow_run.id = workflow_run_id
@@ -246,7 +239,7 @@ class WorkflowCycleManage:
        workflow_run.finished_at = datetime.now(UTC).replace(tzinfo=None)
        workflow_run.exceptions_count = exceptions_count

-        stmt = select(WorkflowNodeExecution.node_execution_id).where(
+        stmt = select(WorkflowNodeExecution).where(
            WorkflowNodeExecution.tenant_id == workflow_run.tenant_id,
            WorkflowNodeExecution.app_id == workflow_run.app_id,
            WorkflowNodeExecution.workflow_id == workflow_run.workflow_id,
@@ -254,18 +247,16 @@ class WorkflowCycleManage:
            WorkflowNodeExecution.workflow_run_id == workflow_run.id,
            WorkflowNodeExecution.status == WorkflowNodeExecutionStatus.RUNNING.value,
        )
-        ids = session.scalars(stmt).all()
-        # Use self._get_workflow_node_execution here to make sure the cache is updated
-        running_workflow_node_executions = [
-            self._get_workflow_node_execution(session=session, node_execution_id=id) for id in ids if id
-        ]
+
+        running_workflow_node_executions = session.scalars(stmt).all()

        for workflow_node_execution in running_workflow_node_executions:
-            now = datetime.now(UTC).replace(tzinfo=None)
            workflow_node_execution.status = WorkflowNodeExecutionStatus.FAILED.value
            workflow_node_execution.error = error
-            workflow_node_execution.finished_at = now
-            workflow_node_execution.elapsed_time = (now - workflow_node_execution.created_at).total_seconds()
+            workflow_node_execution.finished_at = datetime.now(UTC).replace(tzinfo=None)
+            workflow_node_execution.elapsed_time = (
+                workflow_node_execution.finished_at - workflow_node_execution.created_at
+            ).total_seconds()

        if trace_manager:
            trace_manager.add_trace_task(
@@ -283,7 +274,7 @@ class WorkflowCycleManage:
        self, *, session: Session, workflow_run: WorkflowRun, event: QueueNodeStartedEvent
    ) -> WorkflowNodeExecution:
        workflow_node_execution = WorkflowNodeExecution()
-        workflow_node_execution.id = str(uuid4())
+        workflow_node_execution.id = event.node_execution_id
        workflow_node_execution.tenant_id = workflow_run.tenant_id
        workflow_node_execution.app_id = workflow_run.app_id
        workflow_node_execution.workflow_id = workflow_run.workflow_id
@@ -307,8 +298,6 @@ class WorkflowCycleManage:
        workflow_node_execution.created_at = datetime.now(UTC).replace(tzinfo=None)

        session.add(workflow_node_execution)
-
-        self._workflow_node_executions[event.node_execution_id] = workflow_node_execution
        return workflow_node_execution

    def _handle_workflow_node_execution_success(
@@ -336,7 +325,6 @@ class WorkflowCycleManage:
        workflow_node_execution.finished_at = finished_at
        workflow_node_execution.elapsed_time = elapsed_time

-        workflow_node_execution = session.merge(workflow_node_execution)
        return workflow_node_execution

    def _handle_workflow_node_execution_failed(
@@ -376,7 +364,6 @@ class WorkflowCycleManage:
        workflow_node_execution.elapsed_time = elapsed_time
        workflow_node_execution.execution_metadata = execution_metadata

-        workflow_node_execution = session.merge(workflow_node_execution)
        return workflow_node_execution

    def _handle_workflow_node_execution_retried(
@@ -404,7 +391,7 @@ class WorkflowCycleManage:
        execution_metadata = json.dumps(merged_metadata)

        workflow_node_execution = WorkflowNodeExecution()
-        workflow_node_execution.id = str(uuid4())
+        workflow_node_execution.id = event.node_execution_id
        workflow_node_execution.tenant_id = workflow_run.tenant_id
        workflow_node_execution.app_id = workflow_run.app_id
        workflow_node_execution.workflow_id = workflow_run.workflow_id
@@ -428,8 +415,6 @@ class WorkflowCycleManage:
        workflow_node_execution.index = event.node_run_index

        session.add(workflow_node_execution)
-
-        self._workflow_node_executions[event.node_execution_id] = workflow_node_execution
        return workflow_node_execution

    #################################################
@@ -826,20 +811,22 @@ class WorkflowCycleManage:
        return None

    def _get_workflow_run(self, *, session: Session, workflow_run_id: str) -> WorkflowRun:
-        if self._workflow_run and self._workflow_run.id == workflow_run_id:
-            cached_workflow_run = self._workflow_run
-            cached_workflow_run = session.merge(cached_workflow_run)
-            return cached_workflow_run
+        """
+        Refetch workflow run
+        :param workflow_run_id: workflow run id
+        :return:
+        """
        stmt = select(WorkflowRun).where(WorkflowRun.id == workflow_run_id)
        workflow_run = session.scalar(stmt)
        if not workflow_run:
            raise WorkflowRunNotFoundError(workflow_run_id)
-        self._workflow_run = workflow_run

        return workflow_run

    def _get_workflow_node_execution(self, session: Session, node_execution_id: str) -> WorkflowNodeExecution:
-        if node_execution_id not in self._workflow_node_executions:
-            raise ValueError(f"Workflow node execution not found: {node_execution_id}")
-        cached_workflow_node_execution = self._workflow_node_executions[node_execution_id]
-        return cached_workflow_node_execution
+        stmt = select(WorkflowNodeExecution).where(WorkflowNodeExecution.id == node_execution_id)
+        workflow_node_execution = session.scalar(stmt)
+        if not workflow_node_execution:
+            raise WorkflowNodeExecutionNotFoundError(node_execution_id)
+
+        return workflow_node_execution
--- a/api/core/model_runtime/model_providers/gpustack/speech2text/init.py
+++ b/api/core/model_runtime/model_providers/gpustack/speech2text/init.py
--- a/api/core/external_data_tool/api/api.py
+++ b/api/core/external_data_tool/api/api.py
@@ -62,9 +62,8 @@ class ApiExternalDataTool(ExternalDataTool):

        if not api_based_extension:
            raise ValueError(
-                "[External data tool] API query failed, variable: {}, error: api_based_extension_id is invalid".format(
-                    self.variable
-                )
+                "[External data tool] API query failed, variable: {}, "
+                "error: api_based_extension_id is invalid".format(self.variable)
            )

        # decrypt api_key
--- a/api/core/file/models.py
+++ b/api/core/file/models.py
@@ -90,7 +90,7 @@ class File(BaseModel):
    def markdown(self) -> str:
        url = self.generate_url()
        if self.type == FileType.IMAGE:
-            text = f"![{self.filename or ''}]({url})"
+            text = f'![{self.filename or ""}]({url})'
        else:
            text = f"[{self.filename or url}]({url})"

--- a/api/core/helper/ssrf_proxy.py
+++ b/api/core/helper/ssrf_proxy.py
@@ -11,6 +11,15 @@ from configs import dify_config

 SSRF_DEFAULT_MAX_RETRIES = dify_config.SSRF_DEFAULT_MAX_RETRIES

+proxy_mounts = (
+    {
+        "http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
+        "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
+    }
+    if dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL
+    else None
+)
+
 BACKOFF_FACTOR = 0.5
 STATUS_FORCELIST = [429, 500, 502, 503, 504]

@@ -42,11 +51,7 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
            if dify_config.SSRF_PROXY_ALL_URL:
                with httpx.Client(proxy=dify_config.SSRF_PROXY_ALL_URL) as client:
                    response = client.request(method=method, url=url, **kwargs)
-            elif dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL:
-                proxy_mounts = {
-                    "http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
-                    "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
-                }
+            elif proxy_mounts:
                with httpx.Client(mounts=proxy_mounts) as client:
                    response = client.request(method=method, url=url, **kwargs)
            else:
--- a/api/core/indexing_runner.py
+++ b/api/core/indexing_runner.py
@@ -530,6 +530,7 @@ class IndexingRunner:
        # chunk nodes by chunk size
        indexing_start_at = time.perf_counter()
        tokens = 0
+        chunk_size = 10
        if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
            # create keyword index
            create_keyword_thread = threading.Thread(
@@ -538,22 +539,11 @@ class IndexingRunner:
            )
            create_keyword_thread.start()

-        max_workers = 10
        if dataset.indexing_technique == "high_quality":
-            with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
+            with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
                futures = []
-
-                # Distribute documents into multiple groups based on the hash values of page_content
-                # This is done to prevent multiple threads from processing the same document,
-                # Thereby avoiding potential database insertion deadlocks
-                document_groups: list[list[Document]] = [[] for _ in range(max_workers)]
-                for document in documents:
-                    hash = helper.generate_text_hash(document.page_content)
-                    group_index = int(hash, 16) % max_workers
-                    document_groups[group_index].append(document)
-                for chunk_documents in document_groups:
-                    if len(chunk_documents) == 0:
-                        continue
+                for i in range(0, len(documents), chunk_size):
+                    chunk_documents = documents[i : i + chunk_size]
                    futures.append(
                        executor.submit(
                            self._process_chunk,
--- a/api/core/llm_generator/prompts.py
+++ b/api/core/llm_generator/prompts.py
@@ -131,7 +131,7 @@ JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE = (
 SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
    "Please help me predict the three most likely questions that human would ask, "
    "and keeping each question under 20 characters.\n"
-    "MAKE SURE your output is the SAME language as the Assistant's latest response. "
+    "MAKE SURE your output is the SAME language as the Assistant's latest response"
    "The output must be an array in JSON format following the specified schema:\n"
    '["question1","question2","question3"]\n'
 )
--- a/api/core/model_runtime/entities/init.py
+++ b/api/core/model_runtime/entities/init.py
@@ -1,4 +1,4 @@
-from .llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from .llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
 from .message_entities import (
    AssistantPromptMessage,
    AudioPromptMessageContent,
@@ -23,7 +23,6 @@ __all__ = [
    "AudioPromptMessageContent",
    "DocumentPromptMessageContent",
    "ImagePromptMessageContent",
-    "LLMMode",
    "LLMResult",
    "LLMResultChunk",
    "LLMResultChunkDelta",
--- a/api/core/model_runtime/entities/llm_entities.py
+++ b/api/core/model_runtime/entities/llm_entities.py
@@ -1,5 +1,5 @@
 from decimal import Decimal
-from enum import StrEnum
+from enum import Enum
 from typing import Optional

 from pydantic import BaseModel
@@ -8,7 +8,7 @@ from core.model_runtime.entities.message_entities import AssistantPromptMessage,
 from core.model_runtime.entities.model_entities import ModelUsage, PriceInfo


-class LLMMode(StrEnum):
+class LLMMode(Enum):
    """
    Enum class for large language model mode.
    """
--- a/api/core/model_runtime/model_providers/__base/ai_model.py
+++ b/api/core/model_runtime/model_providers/__base/ai_model.py
@@ -221,12 +221,13 @@ class AIModel(ABC):
        :param credentials: model credentials
        :return: model schema
        """
-        # Try to get model schema from predefined models
-        for predefined_model in self.predefined_models():
-            if model == predefined_model.model:
-                return predefined_model
+        # get predefined models (predefined_models)
+        models = self.predefined_models()
+
+        model_map = {model.model: model for model in models}
+        if model in model_map:
+            return model_map[model]

-        # Try to get model schema from credentials
        if credentials:
            model_schema = self.get_customizable_model_schema_from_credentials(model, credentials)
            if model_schema:
--- a/api/core/model_runtime/model_providers/__base/large_language_model.py
+++ b/api/core/model_runtime/model_providers/__base/large_language_model.py
@@ -30,11 +30,6 @@ from core.model_runtime.model_providers.__base.ai_model import AIModel

 logger = logging.getLogger(__name__)

-HTML_THINKING_TAG = (
-    '<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> '
-    "<summary> Thinking... </summary>"
-)
-

 class LargeLanguageModel(AIModel):
    """
@@ -405,40 +400,6 @@ if you are not sure about the structure.
                    ),
                )

-    def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
-        """
-        If the reasoning response is from delta.get("reasoning_content"), we wrap
-        it with HTML details tag.
-
-        :param delta: delta dictionary from LLM streaming response
-        :param is_reasoning: is reasoning
-        :return: tuple of (processed_content, is_reasoning)
-        """
-
-        content = delta.get("content") or ""
-        reasoning_content = delta.get("reasoning_content")
-
-        if reasoning_content:
-            if not is_reasoning:
-                content = HTML_THINKING_TAG + reasoning_content
-                is_reasoning = True
-            else:
-                content = reasoning_content
-        elif is_reasoning:
-            content = "</details>" + content
-            is_reasoning = False
-        return content, is_reasoning
-
-    def _wrap_thinking_by_tag(self, content: str) -> str:
-        """
-        if the reasoning response is a <think>...</think> block from delta.get("content"),
-        we replace <think> to <detail>.
-
-        :param content: delta.get("content")
-        :return: processed_content
-        """
-        return content.replace("<think>", HTML_THINKING_TAG).replace("</think>", "</details>")
-
    def _invoke_result_generator(
        self,
        model: str,
--- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py
+++ b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py
@@ -1,8 +1,8 @@
-import logging
+from os.path import abspath, dirname, join
 from threading import Lock
 from typing import Any

-logger = logging.getLogger(__name__)
+from transformers import GPT2Tokenizer as TransformerGPT2Tokenizer  # type: ignore

 _tokenizer: Any = None
 _lock = Lock()
@@ -15,16 +15,11 @@ class GPT2Tokenizer:
        use gpt2 tokenizer to get num tokens
        """
        _tokenizer = GPT2Tokenizer.get_encoder()
-        tokens = _tokenizer.encode(text)
+        tokens = _tokenizer.encode(text, verbose=False)
        return len(tokens)

    @staticmethod
    def get_num_tokens(text: str) -> int:
-        # Because this process needs more cpu resource, we turn this back before we find a better way to handle it.
-        #
-        # future = _executor.submit(GPT2Tokenizer._get_num_tokens_by_gpt2, text)
-        # result = future.result()
-        # return cast(int, result)
        return GPT2Tokenizer._get_num_tokens_by_gpt2(text)

    @staticmethod
@@ -32,20 +27,8 @@ class GPT2Tokenizer:
        global _tokenizer, _lock
        with _lock:
            if _tokenizer is None:
-                # Try to use tiktoken to get the tokenizer because it is faster
-                #
-                try:
-                    import tiktoken
-
-                    _tokenizer = tiktoken.get_encoding("gpt2")
-                except Exception:
-                    from os.path import abspath, dirname, join
-
-                    from transformers import GPT2Tokenizer as TransformerGPT2Tokenizer  # type: ignore
-
-                    base_path = abspath(__file__)
-                    gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
-                    _tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)
-                    logger.info("Fallback to Transformers' GPT-2 tokenizer from tiktoken")
+                base_path = abspath(__file__)
+                gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
+                _tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)

            return _tokenizer
--- a/api/core/model_runtime/model_providers/_position.yaml
+++ b/api/core/model_runtime/model_providers/_position.yaml
@@ -1,5 +1,4 @@
 - openai
- deepseek
 - anthropic
 - azure_openai
 - google
@@ -33,6 +32,7 @@
 - localai
 - volcengine_maas
 - openai_api_compatible
+- deepseek
 - hunyuan
 - siliconflow
 - perfxcloud
--- a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
+++ b/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
@@ -51,40 +51,6 @@ model_credential_schema:
      show_on:
        - variable: __model_type
          value: llm
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      show_on:
-        - variable: __model_type
-          value: llm
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
    - variable: jwt_token
      required: true
      label:
--- a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
+++ b/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
@@ -1,9 +1,9 @@
 import logging
-from collections.abc import Generator, Sequence
+from collections.abc import Generator
 from typing import Any, Optional, Union

 from azure.ai.inference import ChatCompletionsClient
-from azure.ai.inference.models import StreamingChatCompletionsUpdate, SystemMessage, UserMessage
+from azure.ai.inference.models import StreamingChatCompletionsUpdate
 from azure.core.credentials import AzureKeyCredential
 from azure.core.exceptions import (
    ClientAuthenticationError,
@@ -20,7 +20,7 @@ from azure.core.exceptions import (
 )

 from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
 from core.model_runtime.entities.message_entities import (
    AssistantPromptMessage,
    PromptMessage,
@@ -30,7 +30,6 @@ from core.model_runtime.entities.model_entities import (
    AIModelEntity,
    FetchFrom,
    I18nObject,
-    ModelPropertyKey,
    ModelType,
    ParameterRule,
    ParameterType,
@@ -61,10 +60,10 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
        self,
        model: str,
        credentials: dict,
-        prompt_messages: Sequence[PromptMessage],
+        prompt_messages: list[PromptMessage],
        model_parameters: dict,
-        tools: Optional[Sequence[PromptMessageTool]] = None,
-        stop: Optional[Sequence[str]] = None,
+        tools: Optional[list[PromptMessageTool]] = None,
+        stop: Optional[list[str]] = None,
        stream: bool = True,
        user: Optional[str] = None,
    ) -> Union[LLMResult, Generator]:
@@ -83,8 +82,8 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
        """

        if not self.client:
-            endpoint = str(credentials.get("endpoint"))
-            api_key = str(credentials.get("api_key"))
+            endpoint = credentials.get("endpoint")
+            api_key = credentials.get("api_key")
            self.client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))

        messages = [{"role": msg.role.value, "content": msg.content} for msg in prompt_messages]
@@ -95,7 +94,6 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
            "temperature": model_parameters.get("temperature", 0),
            "top_p": model_parameters.get("top_p", 1),
            "stream": stream,
-            "model": model,
        }

        if stop:
@@ -257,16 +255,10 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
        :return:
        """
        try:
-            endpoint = str(credentials.get("endpoint"))
-            api_key = str(credentials.get("api_key"))
+            endpoint = credentials.get("endpoint")
+            api_key = credentials.get("api_key")
            client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
-            client.complete(
-                messages=[
-                    SystemMessage(content="I say 'ping', you say 'pong'"),
-                    UserMessage(content="ping"),
-                ],
-                model=model,
-            )
+            client.get_model_info()
        except Exception as ex:
            raise CredentialsValidateFailedError(str(ex))

@@ -335,10 +327,7 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
            model_type=ModelType.LLM,
            features=[],
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "4096")),
-                ModelPropertyKey.MODE: credentials.get("mode", LLMMode.CHAT),
-            },
+            model_properties={},
            parameter_rules=rules,
        )

--- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
+++ b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
@@ -53,9 +53,6 @@ model_credential_schema:
      type: select
      required: true
      options:
-        - label:
-            en_US: 2024-12-01-preview
-          value: 2024-12-01-preview
        - label:
            en_US: 2024-10-01-preview
          value: 2024-10-01-preview
@@ -138,18 +135,6 @@ model_credential_schema:
          show_on:
            - variable: __model_type
              value: llm
-        - label:
-            en_US: o3-mini
-          value: o3-mini
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: o3-mini-2025-01-31
-          value: o3-mini-2025-01-31
-          show_on:
-            - variable: __model_type
-              value: llm
        - label:
            en_US: o1-preview
          value: o1-preview
--- a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
+++ b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
@@ -108,7 +108,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
        ai_model_entity = self._get_ai_model_entity(base_model_name=base_model_name, model=model)

        if not ai_model_entity:
-            raise CredentialsValidateFailedError(f"Base Model Name {credentials['base_model_name']} is invalid")
+            raise CredentialsValidateFailedError(f'Base Model Name {credentials["base_model_name"]} is invalid')

        try:
            client = AzureOpenAI(**self._to_credential_kwargs(credentials))
--- a/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
+++ b/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
@@ -130,7 +130,7 @@ class AzureOpenAITextEmbeddingModel(_CommonAzureOpenAI, TextEmbeddingModel):
            raise CredentialsValidateFailedError("Base Model Name is required")

        if not self._get_ai_model_entity(credentials["base_model_name"], model):
-            raise CredentialsValidateFailedError(f"Base Model Name {credentials['base_model_name']} is invalid")
+            raise CredentialsValidateFailedError(f'Base Model Name {credentials["base_model_name"]} is invalid')

        try:
            credentials_kwargs = self._to_credential_kwargs(credentials)
--- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
+++ b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
@@ -44,7 +44,6 @@ provider_credential_schema:
      label:
        en_US: AWS Region
        zh_Hans: AWS 地区
-        ja_JP: AWS リージョン
      type: select
      default: us-east-1
      options:
@@ -52,86 +51,62 @@ provider_credential_schema:
          label:
            en_US: US East (N. Virginia)
            zh_Hans: 美国东部 (弗吉尼亚北部)
-            ja_JP: 米国 (バージニア北部)
        - value: us-east-2
          label:
            en_US: US East (Ohio)
-            zh_Hans: 美国东部 (俄亥俄)
-            ja_JP: 米国 (オハイオ)
+            zh_Hans: 美国东部 (弗吉尼亚北部)
        - value: us-west-2
          label:
            en_US: US West (Oregon)
            zh_Hans: 美国西部 (俄勒冈州)
-            ja_JP: 米国 (オレゴン)
        - value: ap-south-1
          label:
            en_US: Asia Pacific (Mumbai)
            zh_Hans: 亚太地区（孟买）
-            ja_JP: アジアパシフィック (ムンバイ)
        - value: ap-southeast-1
          label:
            en_US: Asia Pacific (Singapore)
            zh_Hans: 亚太地区 (新加坡)
-            ja_JP: アジアパシフィック (シンガポール)
        - value: ap-southeast-2
          label:
            en_US: Asia Pacific (Sydney)
            zh_Hans: 亚太地区 (悉尼)
-            ja_JP: アジアパシフィック (シドニー)
        - value: ap-northeast-1
          label:
            en_US: Asia Pacific (Tokyo)
            zh_Hans: 亚太地区 (东京)
-            ja_JP: アジアパシフィック (東京)
        - value: ap-northeast-2
          label:
            en_US: Asia Pacific (Seoul)
            zh_Hans: 亚太地区（首尔）
-            ja_JP: アジアパシフィック (ソウル)
        - value: ca-central-1
          label:
            en_US: Canada (Central)
            zh_Hans: 加拿大（中部）
-            ja_JP: カナダ (中部)
        - value: eu-central-1
          label:
            en_US: Europe (Frankfurt)
            zh_Hans: 欧洲 (法兰克福)
-            ja_JP: 欧州 (フランクフルト)
        - value: eu-west-1
          label:
            en_US: Europe (Ireland)
            zh_Hans: 欧洲（爱尔兰）
-            ja_JP: 欧州 (アイルランド)
        - value: eu-west-2
          label:
            en_US: Europe (London)
            zh_Hans: 欧洲西部 (伦敦)
-            ja_JP: 欧州 (ロンドン)
        - value: eu-west-3
          label:
            en_US: Europe (Paris)
            zh_Hans: 欧洲（巴黎）
-            ja_JP: 欧州 (パリ)
        - value: sa-east-1
          label:
            en_US: South America (São Paulo)
            zh_Hans: 南美洲（圣保罗）
-            ja_JP: 南米 (サンパウロ)
        - value: us-gov-west-1
          label:
            en_US: AWS GovCloud (US-West)
            zh_Hans: AWS GovCloud (US-West)
-            ja_JP: AWS GovCloud (米国西部)
-    - variable: bedrock_endpoint_url
-      label:
-        zh_Hans: Bedrock Endpoint URL
-        en_US: Bedrock Endpoint URL
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Bedrock Endpoint URL, 如：https://123456.cloudfront.net
-        en_US: Enter your Bedrock Endpoint URL, e.g. https://123456.cloudfront.net
    - variable: model_for_validation
      required: false
      label:
--- a/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
+++ b/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
@@ -13,7 +13,6 @@ def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
    client_config = Config(region_name=region_name)
    aws_access_key_id = credentials.get("aws_access_key_id")
    aws_secret_access_key = credentials.get("aws_secret_access_key")
-    bedrock_endpoint_url = credentials.get("bedrock_endpoint_url")

    if aws_access_key_id and aws_secret_access_key:
        # use aksk to call bedrock
@@ -22,7 +21,6 @@ def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
            config=client_config,
            aws_access_key_id=aws_access_key_id,
            aws_secret_access_key=aws_secret_access_key,
-            **({"endpoint_url": bedrock_endpoint_url} if bedrock_endpoint_url else {}),
        )
    else:
        # use iam without aksk to call
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Novice Lee	81375088e9	fix: remove unused fields	2024-12-26 14:51:33 +08:00
Novice Lee	cfade297e8	fix: mypy static type checking issues	2024-12-26 09:04:29 +08:00
Novice Lee	8933dd85bf	Merge branch 'main' into feat/retry-single-step-debug	2024-12-26 08:56:24 +08:00
Novice Lee	ae5e8d3160	fix: remove unused import	2024-12-25 10:40:02 +08:00
Novice Lee	fc6c0317a5	feat: add single step retry	2024-12-25 10:38:54 +08:00