chore(docker): bump version (#25092)

Signed-off-by: -LAN- <laipz8200@outlook.com>

.github/workflows/api-tests.yml

@@ -42,11 +42,7 @@ jobs:
       - name: Run Unit tests
         run: |
           uv run --project api bash dev/pytest/pytest_unit_tests.sh
-      - name: Run ty check
-        run: |
-          cd api
-          uv add --dev ty
-          uv run ty check || true
+
       - name: Run pyrefly check
         run: |
           cd api
@@ -66,15 +62,6 @@ jobs:
       - name: Run dify config tests
         run: uv run --project api dev/pytest/pytest_config_tests.py
 
-      - name: MyPy Cache
-        uses: actions/cache@v4
-        with:
-          path: api/.mypy_cache
-          key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }}
-
-      - name: Run MyPy Checks
-        run: dev/mypy-check
-
       - name: Set up dotenvs
         run: |
           cp docker/.env.example docker/.env

.github/workflows/style.yml

@@ -44,6 +44,10 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         run: uv sync --project api --dev
 
+      - name: Run Basedpyright Checks
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: dev/basedpyright-check
+
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
         run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example
@@ -89,7 +93,9 @@ jobs:
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
-        run: pnpm run lint
+        run: |
+          pnpm run lint
+          pnpm run eslint
 
   docker-compose-template:
     name: Docker Compose Template

.gitignore

@@ -123,10 +123,12 @@ venv.bak/
 # mkdocs documentation
 /site
 
-# mypy
+# type checking
 .mypy_cache/
 .dmypy.json
 dmypy.json
+pyrightconfig.json
+!api/pyrightconfig.json
 
 # Pyre type checker
 .pyre/
@@ -195,7 +197,6 @@ sdks/python-client/dify_client.egg-info
 .vscode/*
 !.vscode/launch.json.template
 !.vscode/README.md
-pyrightconfig.json
 api/.vscode
 # vscode Code History Extension
 .history

CLAUDE.md

@@ -32,7 +32,7 @@ uv run --project api pytest tests/integration_tests/  # Integration tests
 ./dev/reformat                    # Run all formatters and linters
 uv run --project api ruff check --fix ./    # Fix linting issues
 uv run --project api ruff format ./         # Format code
-uv run --project api mypy .                 # Type checking
+uv run --directory api basedpyright         # Type checking
 ```
 
 ### Frontend (Web)

Makefile

@@ -4,6 +4,48 @@ WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
 API_IMAGE=$(DOCKER_REGISTRY)/dify-api
 VERSION=latest
 
+# Backend Development Environment Setup
+.PHONY: dev-setup prepare-docker prepare-web prepare-api
+
+# Default dev setup target
+dev-setup: prepare-docker prepare-web prepare-api
+	@echo "✅ Backend development environment setup complete!"
+
+# Step 1: Prepare Docker middleware
+prepare-docker:
+	@echo "🐳 Setting up Docker middleware..."
+	@cp -n docker/middleware.env.example docker/middleware.env 2>/dev/null || echo "Docker middleware.env already exists"
+	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev up -d
+	@echo "✅ Docker middleware started"
+
+# Step 2: Prepare web environment
+prepare-web:
+	@echo "🌐 Setting up web environment..."
+	@cp -n web/.env.example web/.env 2>/dev/null || echo "Web .env already exists"
+	@cd web && pnpm install
+	@cd web && pnpm build
+	@echo "✅ Web environment prepared (not started)"
+
+# Step 3: Prepare API environment
+prepare-api:
+	@echo "🔧 Setting up API environment..."
+	@cp -n api/.env.example api/.env 2>/dev/null || echo "API .env already exists"
+	@cd api && uv sync --dev
+	@cd api && uv run flask db upgrade
+	@echo "✅ API environment prepared (not started)"
+
+# Clean dev environment
+dev-clean:
+	@echo "⚠️  Stopping Docker containers..."
+	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev down
+	@echo "🗑️  Removing volumes..."
+	@rm -rf docker/volumes/db
+	@rm -rf docker/volumes/redis
+	@rm -rf docker/volumes/plugin_daemon
+	@rm -rf docker/volumes/weaviate
+	@rm -rf api/storage
+	@echo "✅ Cleanup complete"
+
 # Build Docker images
 build-web:
 	@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
@@ -39,5 +81,21 @@ build-push-web: build-web push-web
 build-push-all: build-all push-all
 	@echo "All Docker images have been built and pushed."
 
+# Help target
+help:
+	@echo "Development Setup Targets:"
+	@echo "  make dev-setup      - Run all setup steps for backend dev environment"
+	@echo "  make prepare-docker - Set up Docker middleware"
+	@echo "  make prepare-web    - Set up web environment"
+	@echo "  make prepare-api    - Set up API environment"
+	@echo "  make dev-clean      - Stop Docker middleware containers"
+	@echo ""
+	@echo "Docker Build Targets:"
+	@echo "  make build-web      - Build web Docker image"
+	@echo "  make build-api      - Build API Docker image"
+	@echo "  make build-all      - Build all Docker images"
+	@echo "  make push-all       - Push all Docker images"
+	@echo "  make build-push-all - Build and push all Docker images"
+
 # Phony targets
-.PHONY: build-web build-api push-web push-api build-all push-all build-push-all
+.PHONY: build-web build-api push-web push-api build-all push-all build-push-all dev-setup prepare-docker prepare-web prepare-api dev-clean help

api/.env.example

@@ -460,16 +460,6 @@ WORKFLOW_CALL_MAX_DEPTH=5
 WORKFLOW_PARALLEL_DEPTH_LIMIT=3
 MAX_VARIABLE_SIZE=204800
 
-# GraphEngine Worker Pool Configuration
-# Minimum number of workers per GraphEngine instance (default: 1)
-GRAPH_ENGINE_MIN_WORKERS=1
-# Maximum number of workers per GraphEngine instance (default: 10)
-GRAPH_ENGINE_MAX_WORKERS=10
-# Queue depth threshold that triggers worker scale up (default: 3)
-GRAPH_ENGINE_SCALE_UP_THRESHOLD=3
-# Seconds of idle time before scaling down workers (default: 5.0)
-GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME=5.0
-
 # Workflow storage configuration
 # Options: rdbms, hybrid
 # rdbms: Use only the relational database (default)

api/.importlinter

@@ -1,112 +0,0 @@
-[importlinter]
-root_packages =
-    core
-    configs
-    controllers
-    models
-    tasks
-    services
-
-[importlinter:contract:workflow]
-name = Workflow
-type=layers
-layers =
-    graph_engine
-    graph_events
-    graph
-    nodes
-    node_events
-    entities
-containers =
-    core.workflow
-ignore_imports =
-    core.workflow.nodes.base.node -> core.workflow.graph_events
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_events
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine.command_channels
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_events
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine.command_channels
-    core.workflow.nodes.node_factory -> core.workflow.graph
-
-[importlinter:contract:rsc]
-name = RSC
-type = layers
-layers =
-    graph_engine
-    response_coordinator
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:worker]
-name = Worker
-type = layers
-layers =
-    graph_engine
-    worker
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:graph-engine-architecture]
-name = Graph Engine Architecture
-type = layers
-layers =
-    graph_engine
-    orchestration
-    command_processing
-    event_management
-    error_handling
-    graph_traversal
-    state_management
-    worker_management
-    domain
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:domain-isolation]
-name = Domain Model Isolation
-type = forbidden
-source_modules =
-    core.workflow.graph_engine.domain
-forbidden_modules =
-    core.workflow.graph_engine.worker_management
-    core.workflow.graph_engine.command_channels
-    core.workflow.graph_engine.layers
-    core.workflow.graph_engine.protocols
-
-[importlinter:contract:worker-management]
-name = Worker Management
-type = forbidden
-source_modules =
-    core.workflow.graph_engine.worker_management
-forbidden_modules =
-    core.workflow.graph_engine.orchestration
-    core.workflow.graph_engine.command_processing
-    core.workflow.graph_engine.event_management
-
-[importlinter:contract:error-handling-strategies]
-name = Error Handling Strategies
-type = independence
-modules =
-    core.workflow.graph_engine.error_handling.abort_strategy
-    core.workflow.graph_engine.error_handling.retry_strategy
-    core.workflow.graph_engine.error_handling.fail_branch_strategy
-    core.workflow.graph_engine.error_handling.default_value_strategy
-
-[importlinter:contract:graph-traversal-components]
-name = Graph Traversal Components
-type = layers
-layers =
-    edge_processor
-    skip_propagator
-containers =
-    core.workflow.graph_engine.graph_traversal
-
-[importlinter:contract:command-channels]
-name = Command Channels Independence
-type = independence
-modules =
-    core.workflow.graph_engine.command_channels.in_memory_channel
-    core.workflow.graph_engine.command_channels.redis_channel

api/README.md

@@ -108,5 +108,5 @@ uv run celery -A app.celery beat
    ../dev/reformat               # Run all formatters and linters
    uv run ruff check --fix ./    # Fix linting issues
    uv run ruff format ./         # Format code
-   uv run mypy .                 # Type checking
+   uv run basedpyright .         # Type checking
    ```

api/child_class.py

@@ -1,11 +0,0 @@
-from tests.integration_tests.utils.parent_class import ParentClass
-
-
-class ChildClass(ParentClass):
-    """Test child class for module import helper tests"""
-
-    def __init__(self, name):
-        super().__init__(name)
-
-    def get_name(self):
-        return f"Child: {self.name}"

api/commands.py

@@ -13,6 +13,7 @@ from sqlalchemy.exc import SQLAlchemyError
 
 from configs import dify_config
 from constants.languages import languages
+from core.plugin.entities.plugin import ToolProviderID
 from core.rag.datasource.vdb.vector_factory import Vector
 from core.rag.datasource.vdb.vector_type import VectorType
 from core.rag.index_processor.constant.built_in_field import BuiltInField
@@ -30,7 +31,6 @@ from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, D
 from models.dataset import Document as DatasetDocument
 from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
 from models.provider import Provider, ProviderModel
-from models.provider_ids import ToolProviderID
 from models.tools import ToolOAuthSystemClient
 from services.account_service import AccountService, RegisterService, TenantService
 from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpiredLogs
@@ -571,7 +571,7 @@ def old_metadata_migration():
         for document in documents:
             if document.doc_metadata:
                 doc_metadata = document.doc_metadata
-                for key, value in doc_metadata.items():
+                for key in doc_metadata:
                     for field in BuiltInField:
                         if field.value == key:
                             break

api/configs/feature/__init__.py

@@ -529,28 +529,6 @@ class WorkflowConfig(BaseSettings):
         default=200 * 1024,
     )
 
-    # GraphEngine Worker Pool Configuration
-    GRAPH_ENGINE_MIN_WORKERS: PositiveInt = Field(
-        description="Minimum number of workers per GraphEngine instance",
-        default=1,
-    )
-
-    GRAPH_ENGINE_MAX_WORKERS: PositiveInt = Field(
-        description="Maximum number of workers per GraphEngine instance",
-        default=10,
-    )
-
-    GRAPH_ENGINE_SCALE_UP_THRESHOLD: PositiveInt = Field(
-        description="Queue depth threshold that triggers worker scale up",
-        default=3,
-    )
-
-    GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME: float = Field(
-        description="Seconds of idle time before scaling down workers",
-        default=5.0,
-        ge=0.1,
-    )
-
 
 class WorkflowNodeExecutionConfig(BaseSettings):
     """

api/configs/remote_settings_sources/nacos/__init__.py

@@ -29,7 +29,7 @@ class NacosSettingsSource(RemoteSettingsSource):
         try:
             content = NacosHttpClient().http_request("/nacos/v1/cs/configs", method="GET", headers={}, params=params)
             self.remote_configs = self._parse_config(content)
-        except Exception as e:
+        except Exception:
             logger.exception("[get-access-token] exception occurred")
             raise
 

api/configs/remote_settings_sources/nacos/http_request.py

@@ -27,7 +27,7 @@ class NacosHttpClient:
             response = requests.request(method, url="http://" + self.server + url, headers=headers, params=params)
             response.raise_for_status()
             return response.text
-        except requests.exceptions.RequestException as e:
+        except requests.RequestException as e:
             return f"Request to Nacos failed: {e}"
 
     def _inject_auth_info(self, headers, params, module="config"):
@@ -77,6 +77,6 @@ class NacosHttpClient:
             self.token = response_data.get("accessToken")
             self.token_ttl = response_data.get("tokenTtl", 18000)
             self.token_expire_time = current_time + self.token_ttl - 10
-        except Exception as e:
+        except Exception:
             logger.exception("[get-access-token] exception occur")
             raise

api/constants/languages.py

@@ -19,6 +19,7 @@ language_timezone_mapping = {
     "fa-IR": "Asia/Tehran",
     "sl-SI": "Europe/Ljubljana",
     "th-TH": "Asia/Bangkok",
+    "id-ID": "Asia/Jakarta",
 }
 
 languages = list(language_timezone_mapping.keys())

api/controllers/console/admin.py

@@ -130,15 +130,19 @@ class InsertExploreAppApi(Resource):
             app.is_public = False
 
         with Session(db.engine) as session:
-            installed_apps = session.execute(
-                select(InstalledApp).where(
-                    InstalledApp.app_id == recommended_app.app_id,
-                    InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id,
+            installed_apps = (
+                session.execute(
+                    select(InstalledApp).where(
+                        InstalledApp.app_id == recommended_app.app_id,
+                        InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id,
+                    )
                 )
-            ).all()
+                .scalars()
+                .all()
+            )
 
-        for installed_app in installed_apps:
-            db.session.delete(installed_app)
+            for installed_app in installed_apps:
+                session.delete(installed_app)
 
         db.session.delete(recommended_app)
         db.session.commit()

api/controllers/console/apikey.py

@@ -84,7 +84,7 @@ class BaseApiKeyListResource(Resource):
             flask_restx.abort(
                 400,
                 message=f"Cannot create more than {self.max_keys} API keys for this resource type.",
-                code="max_keys_exceeded",
+                custom="max_keys_exceeded",
             )
 
         key = ApiToken.generate_api_key(self.token_prefix, 24)

api/controllers/console/app/app.py

@@ -237,9 +237,14 @@ class AppExportApi(Resource):
         # Add include_secret params
         parser = reqparse.RequestParser()
         parser.add_argument("include_secret", type=inputs.boolean, default=False, location="args")
+        parser.add_argument("workflow_id", type=str, location="args")
         args = parser.parse_args()
 
-        return {"data": AppDslService.export_dsl(app_model=app_model, include_secret=args["include_secret"])}
+        return {
+            "data": AppDslService.export_dsl(
+                app_model=app_model, include_secret=args["include_secret"], workflow_id=args.get("workflow_id")
+            )
+        }
 
 
 class AppNameApi(Resource):

api/controllers/console/app/generator.py

@@ -16,10 +16,7 @@ from core.helper.code_executor.javascript.javascript_code_provider import Javasc
 from core.helper.code_executor.python3.python3_code_provider import Python3CodeProvider
 from core.llm_generator.llm_generator import LLMGenerator
 from core.model_runtime.errors.invoke import InvokeError
-from extensions.ext_database import db
 from libs.login import login_required
-from models import App
-from services.workflow_service import WorkflowService
 
 
 class RuleGenerateApi(Resource):
@@ -138,6 +135,9 @@ class InstructionGenerateApi(Resource):
         try:
             # Generate from nothing for a workflow node
             if (args["current"] == code_template or args["current"] == "") and args["node_id"] != "":
+                from models import App, db
+                from services.workflow_service import WorkflowService
+
                 app = db.session.query(App).where(App.id == args["flow_id"]).first()
                 if not app:
                     return {"error": f"app {args['flow_id']} not found"}, 400

api/controllers/console/app/workflow.py

@@ -24,7 +24,6 @@ from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file.models import File
 from core.helper.trace_id_helper import get_external_trace_id
-from core.workflow.graph_engine.manager import GraphEngineManager
 from extensions.ext_database import db
 from factories import file_factory, variable_factory
 from fields.workflow_fields import workflow_fields, workflow_pagination_fields
@@ -414,12 +413,7 @@ class WorkflowTaskStopApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, current_user.id)
 
         return {"result": "success"}
 
@@ -532,7 +526,7 @@ class PublishedWorkflowApi(Resource):
             )
 
             app_model.workflow_id = workflow.id
-            db.session.commit()
+            db.session.commit()  # NOTE: this is necessary for update app_model.workflow_id
 
             workflow_created_at = TimestampField().format(workflow.created_at)
 

api/controllers/console/app/workflow_app_log.py

@@ -6,7 +6,7 @@ from sqlalchemy.orm import Session
 from controllers.console import api
 from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import account_initialization_required, setup_required
-from core.workflow.enums import WorkflowExecutionStatus
+from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
 from extensions.ext_database import db
 from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
 from libs.login import login_required
@@ -27,7 +27,9 @@ class WorkflowAppLogApi(Resource):
         """
         parser = reqparse.RequestParser()
         parser.add_argument("keyword", type=str, location="args")
-        parser.add_argument("status", type=str, choices=["succeeded", "failed", "stopped"], location="args")
+        parser.add_argument(
+            "status", type=str, choices=["succeeded", "failed", "stopped", "partial-succeeded"], location="args"
+        )
         parser.add_argument(
             "created_at__before", type=str, location="args", help="Filter logs created before this timestamp"
         )

api/controllers/console/app/workflow_draft_variable.py

@@ -17,11 +17,10 @@ from core.variables.segment_group import SegmentGroup
 from core.variables.segments import ArrayFileSegment, FileSegment, Segment
 from core.variables.types import SegmentType
 from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
-from extensions.ext_database import db
 from factories.file_factory import build_from_mapping, build_from_mappings
 from factories.variable_factory import build_segment_with_type
 from libs.login import current_user, login_required
-from models import App, AppMode
+from models import App, AppMode, db
 from models.account import Account
 from models.workflow import WorkflowDraftVariable
 from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService

api/controllers/console/auth/data_source_oauth.py

@@ -81,7 +81,7 @@ class OAuthDataSourceBinding(Resource):
                 return {"error": "Invalid code"}, 400
             try:
                 oauth_provider.get_access_token(code)
-            except requests.exceptions.HTTPError as e:
+            except requests.HTTPError as e:
                 logger.exception(
                     "An error occurred during the OAuthCallback process with %s: %s", provider, e.response.text
                 )
@@ -104,7 +104,7 @@ class OAuthDataSourceSync(Resource):
             return {"error": "Invalid provider"}, 400
         try:
             oauth_provider.sync_data_source(binding_id)
-        except requests.exceptions.HTTPError as e:
+        except requests.HTTPError as e:
             logger.exception(
                 "An error occurred during the OAuthCallback process with %s: %s", provider, e.response.text
             )

api/controllers/console/auth/login.py

@@ -130,7 +130,7 @@ class ResetPasswordSendEmailApi(Resource):
             language = "en-US"
         try:
             account = AccountService.get_user_through_email(args["email"])
-        except AccountRegisterError as are:
+        except AccountRegisterError:
             raise AccountInFreezeError()
 
         if account is None:
@@ -162,7 +162,7 @@ class EmailCodeLoginSendEmailApi(Resource):
             language = "en-US"
         try:
             account = AccountService.get_user_through_email(args["email"])
-        except AccountRegisterError as are:
+        except AccountRegisterError:
             raise AccountInFreezeError()
 
         if account is None:
@@ -200,7 +200,7 @@ class EmailCodeLoginApi(Resource):
         AccountService.revoke_email_code_login_token(args["token"])
         try:
             account = AccountService.get_user_through_email(user_email)
-        except AccountRegisterError as are:
+        except AccountRegisterError:
             raise AccountInFreezeError()
         if account:
             tenants = TenantService.get_join_tenants(account)
@@ -223,7 +223,7 @@ class EmailCodeLoginApi(Resource):
                 )
             except WorkSpaceNotAllowedCreateError:
                 raise NotAllowedCreateWorkspace()
-            except AccountRegisterError as are:
+            except AccountRegisterError:
                 raise AccountInFreezeError()
             except WorkspacesLimitExceededError:
                 raise WorkspacesLimitExceeded()

api/controllers/console/auth/oauth.py

@@ -80,7 +80,7 @@ class OAuthCallback(Resource):
         try:
             token = oauth_provider.get_access_token(code)
             user_info = oauth_provider.get_user_info(token)
-        except requests.exceptions.RequestException as e:
+        except requests.RequestException as e:
             error_text = e.response.text if e.response else str(e)
             logger.exception("An error occurred during the OAuth process with %s: %s", provider, error_text)
             return {"error": "OAuth process failed"}, 400

api/controllers/console/auth/oauth_server.py

@@ -44,22 +44,19 @@ def oauth_server_access_token_required(view):
         if not oauth_provider_app or not isinstance(oauth_provider_app, OAuthProviderApp):
             raise BadRequest("Invalid oauth_provider_app")
 
-        if not request.headers.get("Authorization"):
-            raise BadRequest("Authorization is required")
-
         authorization_header = request.headers.get("Authorization")
         if not authorization_header:
             raise BadRequest("Authorization header is required")
 
-        parts = authorization_header.split(" ")
+        parts = authorization_header.strip().split(" ")
         if len(parts) != 2:
             raise BadRequest("Invalid Authorization header format")
 
-        token_type = parts[0]
-        if token_type != "Bearer":
+        token_type = parts[0].strip()
+        if token_type.lower() != "bearer":
             raise BadRequest("token_type is invalid")
 
-        access_token = parts[1]
+        access_token = parts[1].strip()
         if not access_token:
             raise BadRequest("access_token is required")
 
@@ -125,7 +122,10 @@ class OAuthServerUserTokenApi(Resource):
         parser.add_argument("refresh_token", type=str, required=False, location="json")
         parsed_args = parser.parse_args()
 
-        grant_type = OAuthGrantType(parsed_args["grant_type"])
+        try:
+            grant_type = OAuthGrantType(parsed_args["grant_type"])
+        except ValueError:
+            raise BadRequest("invalid grant_type")
 
         if grant_type == OAuthGrantType.AUTHORIZATION_CODE:
             if not parsed_args["code"]:
@@ -163,8 +163,6 @@ class OAuthServerUserTokenApi(Resource):
                     "refresh_token": refresh_token,
                 }
             )
-        else:
-            raise BadRequest("invalid grant_type")
 
 
 class OAuthServerUserAccountApi(Resource):

api/controllers/console/datasets/data_source.py

@@ -10,6 +10,7 @@ from werkzeug.exceptions import NotFound
 from controllers.console import api
 from controllers.console.wraps import account_initialization_required, setup_required
 from core.indexing_runner import IndexingRunner
+from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from core.rag.extractor.notion_extractor import NotionExtractor
 from extensions.ext_database import db
@@ -214,7 +215,7 @@ class DataSourceNotionApi(Resource):
             workspace_id = notion_info["workspace_id"]
             for page in notion_info["pages"]:
                 extract_setting = ExtractSetting(
-                    datasource_type="notion_import",
+                    datasource_type=DatasourceType.NOTION.value,
                     notion_info={
                         "notion_workspace_id": workspace_id,
                         "notion_obj_id": page["page_id"],

api/controllers/console/datasets/datasets.py

@@ -19,8 +19,10 @@ from controllers.console.wraps import (
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
 from core.rag.datasource.vdb.vector_type import VectorType
+from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
 from extensions.ext_database import db
@@ -30,7 +32,6 @@ from fields.document_fields import document_status_fields
 from libs.login import login_required
 from models import ApiToken, Dataset, Document, DocumentSegment, UploadFile
 from models.dataset import DatasetPermissionEnum
-from models.provider_ids import ModelProviderID
 from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 
 
@@ -422,7 +423,9 @@ class DatasetIndexingEstimateApi(Resource):
             if file_details:
                 for file_detail in file_details:
                     extract_setting = ExtractSetting(
-                        datasource_type="upload_file", upload_file=file_detail, document_model=args["doc_form"]
+                        datasource_type=DatasourceType.FILE.value,
+                        upload_file=file_detail,
+                        document_model=args["doc_form"],
                     )
                     extract_settings.append(extract_setting)
         elif args["info_list"]["data_source_type"] == "notion_import":
@@ -431,7 +434,7 @@ class DatasetIndexingEstimateApi(Resource):
                 workspace_id = notion_info["workspace_id"]
                 for page in notion_info["pages"]:
                     extract_setting = ExtractSetting(
-                        datasource_type="notion_import",
+                        datasource_type=DatasourceType.NOTION.value,
                         notion_info={
                             "notion_workspace_id": workspace_id,
                             "notion_obj_id": page["page_id"],
@@ -445,7 +448,7 @@ class DatasetIndexingEstimateApi(Resource):
             website_info_list = args["info_list"]["website_info_list"]
             for url in website_info_list["urls"]:
                 extract_setting = ExtractSetting(
-                    datasource_type="website_crawl",
+                    datasource_type=DatasourceType.WEBSITE.value,
                     website_info={
                         "provider": website_info_list["provider"],
                         "job_id": website_info_list["job_id"],

api/controllers/console/datasets/datasets_document.py

@@ -40,6 +40,7 @@ from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.invoke import InvokeAuthorizationError
 from core.plugin.impl.exc import PluginDaemonClientSideError
+from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
 from fields.document_fields import (
@@ -354,9 +355,6 @@ class DatasetInitApi(Resource):
         parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
         args = parser.parse_args()
 
-        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
-        if not current_user.is_dataset_editor:
-            raise Forbidden()
         knowledge_config = KnowledgeConfig(**args)
         if knowledge_config.indexing_technique == "high_quality":
             if knowledge_config.embedding_model is None or knowledge_config.embedding_model_provider is None:
@@ -428,7 +426,7 @@ class DocumentIndexingEstimateApi(DocumentResource):
                     raise NotFound("File not found.")
 
                 extract_setting = ExtractSetting(
-                    datasource_type="upload_file", upload_file=file, document_model=document.doc_form
+                    datasource_type=DatasourceType.FILE.value, upload_file=file, document_model=document.doc_form
                 )
 
                 indexing_runner = IndexingRunner()
@@ -488,13 +486,13 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                     raise NotFound("File not found.")
 
                 extract_setting = ExtractSetting(
-                    datasource_type="upload_file", upload_file=file_detail, document_model=document.doc_form
+                    datasource_type=DatasourceType.FILE.value, upload_file=file_detail, document_model=document.doc_form
                 )
                 extract_settings.append(extract_setting)
 
             elif document.data_source_type == "notion_import":
                 extract_setting = ExtractSetting(
-                    datasource_type="notion_import",
+                    datasource_type=DatasourceType.NOTION.value,
                     notion_info={
                         "notion_workspace_id": data_source_info["notion_workspace_id"],
                         "notion_obj_id": data_source_info["notion_page_id"],
@@ -506,7 +504,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 extract_settings.append(extract_setting)
             elif document.data_source_type == "website_crawl":
                 extract_setting = ExtractSetting(
-                    datasource_type="website_crawl",
+                    datasource_type=DatasourceType.WEBSITE.value,
                     website_info={
                         "provider": data_source_info["provider"],
                         "job_id": data_source_info["job_id"],

api/controllers/console/explore/conversation.py

@@ -61,7 +61,6 @@ class ConversationApi(InstalledAppResource):
             ConversationService.delete(app_model, conversation_id, current_user)
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
-        WebConversationService.unpin(app_model, conversation_id, current_user)
 
         return {"result": "success"}, 204
 

api/controllers/console/explore/workflow.py

@@ -20,7 +20,6 @@ from core.errors.error import (
     QuotaExceededError,
 )
 from core.model_runtime.errors.invoke import InvokeError
-from core.workflow.graph_engine.manager import GraphEngineManager
 from libs import helper
 from libs.login import current_user
 from models.model import AppMode, InstalledApp
@@ -79,11 +78,6 @@ class InstalledAppWorkflowTaskStopApi(InstalledAppResource):
             raise NotWorkflowAppError()
         assert current_user is not None
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
 
         return {"result": "success"}

api/controllers/console/workspace/model_providers.py

@@ -67,7 +67,7 @@ class ModelProviderCredentialApi(Resource):
 
         parser = reqparse.RequestParser()
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
+        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
         args = parser.parse_args()
 
         model_provider_service = ModelProviderService()
@@ -94,7 +94,7 @@ class ModelProviderCredentialApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument("credential_id", type=uuid_value, required=True, nullable=False, location="json")
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
+        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
         args = parser.parse_args()
 
         model_provider_service = ModelProviderService()

api/controllers/console/workspace/models.py

@@ -219,7 +219,11 @@ class ModelProviderModelCredentialApi(Resource):
 
         model_load_balancing_service = ModelLoadBalancingService()
         is_load_balancing_enabled, load_balancing_configs = model_load_balancing_service.get_load_balancing_configs(
-            tenant_id=tenant_id, provider=provider, model=args["model"], model_type=args["model_type"]
+            tenant_id=tenant_id,
+            provider=provider,
+            model=args["model"],
+            model_type=args["model_type"],
+            config_from=args.get("config_from", ""),
         )
 
         if args.get("config_from", "") == "predefined-model":
@@ -263,7 +267,7 @@ class ModelProviderModelCredentialApi(Resource):
             choices=[mt.value for mt in ModelType],
             location="json",
         )
-        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
+        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
         args = parser.parse_args()
 
@@ -309,7 +313,7 @@ class ModelProviderModelCredentialApi(Resource):
         )
         parser.add_argument("credential_id", type=uuid_value, required=True, nullable=False, location="json")
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
+        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
         args = parser.parse_args()
 
         model_provider_service = ModelProviderService()

api/controllers/console/workspace/tool_providers.py

@@ -21,11 +21,11 @@ from core.mcp.auth.auth_provider import OAuthClientProvider
 from core.mcp.error import MCPAuthError, MCPError
 from core.mcp.mcp_client import MCPClient
 from core.model_runtime.utils.encoders import jsonable_encoder
+from core.plugin.entities.plugin import ToolProviderID
 from core.plugin.impl.oauth import OAuthHandler
 from core.tools.entities.tool_entities import CredentialType
 from libs.helper import StrLen, alphanumeric, uuid_value
 from libs.login import login_required
-from models.provider_ids import ToolProviderID
 from services.plugin.oauth_service import OAuthProxyService
 from services.tools.api_tools_manage_service import ApiToolManageService
 from services.tools.builtin_tools_manage_service import BuiltinToolManageService

api/controllers/files/tool_files.py

@@ -8,7 +8,7 @@ from controllers.common.errors import UnsupportedFileTypeError
 from controllers.files import files_ns
 from core.tools.signature import verify_tool_file_signature
 from core.tools.tool_file_manager import ToolFileManager
-from extensions.ext_database import db as global_db
+from models import db as global_db
 
 
 @files_ns.route("/tools/<uuid:file_id>.<string:extension>")

api/controllers/inner_api/wraps.py

@@ -1,8 +1,12 @@
 from base64 import b64encode
+from collections.abc import Callable
 from functools import wraps
 from hashlib import sha1
 from hmac import new as hmac_new
+from typing import ParamSpec, TypeVar
 
+P = ParamSpec("P")
+R = TypeVar("R")
 from flask import abort, request
 
 from configs import dify_config
@@ -10,9 +14,9 @@ from extensions.ext_database import db
 from models.model import EndUser
 
 
-def billing_inner_api_only(view):
+def billing_inner_api_only(view: Callable[P, R]):
     @wraps(view)
-    def decorated(*args, **kwargs):
+    def decorated(*args: P.args, **kwargs: P.kwargs):
         if not dify_config.INNER_API:
             abort(404)
 
@@ -26,9 +30,9 @@ def billing_inner_api_only(view):
     return decorated
 
 
-def enterprise_inner_api_only(view):
+def enterprise_inner_api_only(view: Callable[P, R]):
     @wraps(view)
-    def decorated(*args, **kwargs):
+    def decorated(*args: P.args, **kwargs: P.kwargs):
         if not dify_config.INNER_API:
             abort(404)
 
@@ -78,9 +82,9 @@ def enterprise_inner_api_user_auth(view):
     return decorated
 
 
-def plugin_inner_api_only(view):
+def plugin_inner_api_only(view: Callable[P, R]):
     @wraps(view)
-    def decorated(*args, **kwargs):
+    def decorated(*args: P.args, **kwargs: P.kwargs):
         if not dify_config.PLUGIN_DAEMON_KEY:
             abort(404)
 

api/controllers/service_api/app/audio.py

@@ -55,7 +55,7 @@ class AudioApi(Resource):
         file = request.files["file"]
 
         try:
-            response = AudioService.transcript_asr(app_model=app_model, file=file, end_user=end_user)
+            response = AudioService.transcript_asr(app_model=app_model, file=file, end_user=end_user.id)
 
             return response
         except services.errors.app_model_config.AppModelConfigBrokenError:

api/controllers/service_api/app/file_preview.py

@@ -59,7 +59,7 @@ class FilePreviewApi(Resource):
         args = file_preview_parser.parse_args()
 
         # Validate file ownership and get file objects
-        message_file, upload_file = self._validate_file_ownership(file_id, app_model.id)
+        _, upload_file = self._validate_file_ownership(file_id, app_model.id)
 
         # Get file content generator
         try:

api/controllers/service_api/app/workflow.py

@@ -26,8 +26,7 @@ from core.errors.error import (
 )
 from core.helper.trace_id_helper import get_external_trace_id
 from core.model_runtime.errors.invoke import InvokeError
-from core.workflow.enums import WorkflowExecutionStatus
-from core.workflow.graph_engine.manager import GraphEngineManager
+from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
 from extensions.ext_database import db
 from fields.workflow_app_log_fields import build_workflow_app_log_pagination_model
 from libs import helper
@@ -263,12 +262,7 @@ class WorkflowTaskStopApi(Resource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)
 
         return {"result": "success"}
 

api/controllers/service_api/dataset/dataset.py

@@ -13,13 +13,13 @@ from controllers.service_api.wraps import (
     validate_dataset_token,
 )
 from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
 from fields.dataset_fields import dataset_detail_fields
 from fields.tag_fields import build_dataset_tag_fields
 from libs.login import current_user
 from models.account import Account
 from models.dataset import Dataset, DatasetPermissionEnum
-from models.provider_ids import ModelProviderID
 from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
 from services.tag_service import TagService

api/controllers/service_api/dataset/document.py

@@ -410,7 +410,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
         DocumentService.document_create_args_validate(knowledge_config)
 
         try:
-            documents, batch = DocumentService.save_document_with_dataset_id(
+            documents, _ = DocumentService.save_document_with_dataset_id(
                 dataset=dataset,
                 knowledge_config=knowledge_config,
                 account=dataset.created_by_account,

api/controllers/service_api/wraps.py

@@ -1,7 +1,7 @@
 import time
 from collections.abc import Callable
 from datetime import timedelta
-from enum import Enum
+from enum import StrEnum, auto
 from functools import wraps
 from typing import Optional
 
@@ -23,14 +23,14 @@ from models.model import ApiToken, App, EndUser
 from services.feature_service import FeatureService
 
 
-class WhereisUserArg(Enum):
+class WhereisUserArg(StrEnum):
     """
     Enum for whereis_user_arg.
     """
 
-    QUERY = "query"
-    JSON = "json"
-    FORM = "form"
+    QUERY = auto()
+    JSON = auto()
+    FORM = auto()
 
 
 class FetchUserArg(BaseModel):
@@ -291,27 +291,28 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
     if not user_id:
         user_id = "DEFAULT-USER"
 
-    end_user = (
-        db.session.query(EndUser)
-        .where(
-            EndUser.tenant_id == app_model.tenant_id,
-            EndUser.app_id == app_model.id,
-            EndUser.session_id == user_id,
-            EndUser.type == "service_api",
+    with Session(db.engine, expire_on_commit=False) as session:
+        end_user = (
+            session.query(EndUser)
+            .where(
+                EndUser.tenant_id == app_model.tenant_id,
+                EndUser.app_id == app_model.id,
+                EndUser.session_id == user_id,
+                EndUser.type == "service_api",
+            )
+            .first()
         )
-        .first()
-    )
 
-    if end_user is None:
-        end_user = EndUser(
-            tenant_id=app_model.tenant_id,
-            app_id=app_model.id,
-            type="service_api",
-            is_anonymous=user_id == "DEFAULT-USER",
-            session_id=user_id,
-        )
-        db.session.add(end_user)
-        db.session.commit()
+        if end_user is None:
+            end_user = EndUser(
+                tenant_id=app_model.tenant_id,
+                app_id=app_model.id,
+                type="service_api",
+                is_anonymous=user_id == "DEFAULT-USER",
+                session_id=user_id,
+            )
+            session.add(end_user)
+            session.commit()
 
     return end_user
 

api/controllers/web/conversation.py

@@ -73,8 +73,6 @@ class ConversationApi(WebApiResource):
             ConversationService.delete(app_model, conversation_id, end_user)
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
-        WebConversationService.unpin(app_model, conversation_id, end_user)
-
         return {"result": "success"}, 204
 
 

api/controllers/web/workflow.py

@@ -21,7 +21,6 @@ from core.errors.error import (
     QuotaExceededError,
 )
 from core.model_runtime.errors.invoke import InvokeError
-from core.workflow.graph_engine.manager import GraphEngineManager
 from libs import helper
 from models.model import App, AppMode, EndUser
 from services.app_generate_service import AppGenerateService
@@ -111,12 +110,7 @@ class WorkflowTaskStopApi(WebApiResource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.WEB_APP, end_user.id)
 
         return {"result": "success"}
 

api/controllers/web/wraps.py

@@ -4,6 +4,7 @@ from functools import wraps
 from flask import request
 from flask_restx import Resource
 from sqlalchemy import select
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
 
 from controllers.web.error import WebAppAuthAccessDeniedError, WebAppAuthRequiredError
@@ -49,18 +50,19 @@ def decode_jwt_token():
         decoded = PassportService().verify(tk)
         app_code = decoded.get("app_code")
         app_id = decoded.get("app_id")
-        app_model = db.session.scalar(select(App).where(App.id == app_id))
-        site = db.session.scalar(select(Site).where(Site.code == app_code))
-        if not app_model:
-            raise NotFound()
-        if not app_code or not site:
-            raise BadRequest("Site URL is no longer valid.")
-        if app_model.enable_site is False:
-            raise BadRequest("Site is disabled.")
-        end_user_id = decoded.get("end_user_id")
-        end_user = db.session.scalar(select(EndUser).where(EndUser.id == end_user_id))
-        if not end_user:
-            raise NotFound()
+        with Session(db.engine, expire_on_commit=False) as session:
+            app_model = session.scalar(select(App).where(App.id == app_id))
+            site = session.scalar(select(Site).where(Site.code == app_code))
+            if not app_model:
+                raise NotFound()
+            if not app_code or not site:
+                raise BadRequest("Site URL is no longer valid.")
+            if app_model.enable_site is False:
+                raise BadRequest("Site is disabled.")
+            end_user_id = decoded.get("end_user_id")
+            end_user = session.scalar(select(EndUser).where(EndUser.id == end_user_id))
+            if not end_user:
+                raise NotFound()
 
         # for enterprise webapp auth
         app_web_auth_enabled = False

api/core/agent/base_agent_runner.py

@@ -334,7 +334,8 @@ class BaseAgentRunner(AppRunner):
         """
         Save agent thought
         """
-        agent_thought = db.session.query(MessageAgentThought).where(MessageAgentThought.id == agent_thought_id).first()
+        stmt = select(MessageAgentThought).where(MessageAgentThought.id == agent_thought_id)
+        agent_thought = db.session.scalar(stmt)
         if not agent_thought:
             raise ValueError("agent thought not found")
 
@@ -492,7 +493,8 @@ class BaseAgentRunner(AppRunner):
         return result
 
     def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage:
-        files = db.session.query(MessageFile).where(MessageFile.message_id == message.id).all()
+        stmt = select(MessageFile).where(MessageFile.message_id == message.id)
+        files = db.session.scalars(stmt).all()
         if not files:
             return UserPromptMessage(content=message.query)
         if message.app_model_config:

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

@@ -4,8 +4,8 @@ from typing import Any
 from core.app.app_config.entities import ModelConfigEntity
 from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
 from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
-from models.provider_ids import ModelProviderID
 
 
 class ModelConfigManager:

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

@@ -26,7 +26,7 @@ class MoreLikeThisConfigManager:
     def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
         try:
             return AppConfigModel.model_validate(config).model_dump(), ["more_like_this"]
-        except ValidationError as e:
+        except ValidationError:
             raise ValueError(
                 "more_like_this must be of dict type and enabled in more_like_this must be of boolean type"
             )

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

@@ -450,6 +450,12 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
 
         worker_thread.start()
 
+        # release database connection, because the following new thread operations may take a long time
+        db.session.refresh(workflow)
+        db.session.refresh(message)
+        # db.session.refresh(user)
+        db.session.close()
+
         # return response or stream generator
         response = self._handle_advanced_chat_response(
             application_generate_entity=application_generate_entity,

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

@@ -1,11 +1,11 @@
 import logging
-import time
 from collections.abc import Mapping
 from typing import Any, Optional, cast
 
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
+from configs import dify_config
 from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfig
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.apps.workflow_app_runner import WorkflowBasedAppRunner
@@ -23,17 +23,16 @@ from core.app.features.annotation_reply.annotation_reply import AnnotationReplyF
 from core.moderation.base import ModerationError
 from core.moderation.input_moderation import InputModeration
 from core.variables.variables import VariableUnion
-from core.workflow.entities import GraphRuntimeState, VariablePool
-from core.workflow.graph_engine.command_channels.redis_channel import RedisChannel
+from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
+from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
-from extensions.ext_redis import redis_client
 from models import Workflow
 from models.enums import UserFrom
 from models.model import App, Conversation, Message, MessageAnnotation
-from models.workflow import ConversationVariable
+from models.workflow import ConversationVariable, WorkflowType
 
 logger = logging.getLogger(__name__)
 
@@ -73,36 +72,30 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
         app_config = self.application_generate_entity.app_config
         app_config = cast(AdvancedChatAppConfig, app_config)
 
-        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
+        with Session(db.engine, expire_on_commit=False) as session:
+            app_record = session.scalar(select(App).where(App.id == app_config.app_id))
+
         if not app_record:
             raise ValueError("App not found")
 
+        workflow_callbacks: list[WorkflowCallback] = []
+        if dify_config.DEBUG:
+            workflow_callbacks.append(WorkflowLoggingCallback())
+
         if self.application_generate_entity.single_iteration_run:
             # if only single iteration run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_iteration_run.node_id,
                 user_inputs=dict(self.application_generate_entity.single_iteration_run.inputs),
-                graph_runtime_state=graph_runtime_state,
             )
-            graph_runtime_state.variable_pool = variable_pool
         elif self.application_generate_entity.single_loop_run:
             # if only single loop run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_loop_run.node_id,
                 user_inputs=dict(self.application_generate_entity.single_loop_run.inputs),
-                graph_runtime_state=graph_runtime_state,
             )
-            graph_runtime_state.variable_pool = variable_pool
         else:
             inputs = self.application_generate_entity.inputs
             query = self.application_generate_entity.query
@@ -149,31 +142,20 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
                 environment_variables=self._workflow.environment_variables,
                 # Based on the definition of `VariableUnion`,
                 # `list[Variable]` can be safely used as `list[VariableUnion]` since they are compatible.
-                conversation_variables=cast(list[VariableUnion], conversation_variables),
+                conversation_variables=conversation_variables,
             )
 
             # init graph
-            graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.time())
-            graph = self._init_graph(
-                graph_config=self._workflow.graph_dict,
-                graph_runtime_state=graph_runtime_state,
-                workflow_id=self._workflow.id,
-                tenant_id=self._workflow.tenant_id,
-                user_id=self.application_generate_entity.user_id,
-            )
+            graph = self._init_graph(graph_config=self._workflow.graph_dict)
 
         db.session.close()
 
         # RUN WORKFLOW
-        # Create Redis command channel for this workflow execution
-        task_id = self.application_generate_entity.task_id
-        channel_key = f"workflow:{task_id}:commands"
-        command_channel = RedisChannel(redis_client, channel_key)
-
         workflow_entry = WorkflowEntry(
             tenant_id=self._workflow.tenant_id,
             app_id=self._workflow.app_id,
             workflow_id=self._workflow.id,
+            workflow_type=WorkflowType.value_of(self._workflow.type),
             graph=graph,
             graph_config=self._workflow.graph_dict,
             user_id=self.application_generate_entity.user_id,
@@ -184,11 +166,12 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
             ),
             invoke_from=self.application_generate_entity.invoke_from,
             call_depth=self.application_generate_entity.call_depth,
-            graph_runtime_state=graph_runtime_state,
-            command_channel=command_channel,
+            variable_pool=variable_pool,
         )
 
-        generator = workflow_entry.run()
+        generator = workflow_entry.run(
+            callbacks=workflow_callbacks,
+        )
 
         for event in generator:
             self._handle_event(workflow_entry, event)

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

@@ -118,7 +118,7 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
+                response_chunk.update(sub_stream_response.to_ignore_detail_dict())  # ty: ignore [unresolved-attribute]
             else:
                 response_chunk.update(sub_stream_response.to_dict())
 

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

@@ -31,9 +31,14 @@ from core.app.entities.queue_entities import (
     QueueMessageReplaceEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
     QueuePingEvent,
     QueueRetrieverResourcesEvent,
     QueueStopEvent,
@@ -60,15 +65,14 @@ from core.app.task_pipeline.message_cycle_manager import MessageCycleManager
 from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
 from core.model_runtime.entities.llm_entities import LLMUsage
 from core.ops.ops_trace_manager import TraceQueueManager
-from core.workflow.entities import GraphRuntimeState
-from core.workflow.enums import WorkflowExecutionStatus, WorkflowType
+from core.workflow.entities.workflow_execution import WorkflowExecutionStatus, WorkflowType
+from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.nodes import NodeType
 from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
 from core.workflow.system_variable import SystemVariable
 from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager
-from events.message_event import message_was_created
 from extensions.ext_database import db
 from libs.datetime_utils import naive_utc_now
 from models import Conversation, EndUser, Message, MessageFile
@@ -306,13 +310,8 @@ class AdvancedChatAppGenerateTaskPipeline:
             err = self._base_task_pipeline._handle_error(event=event, session=session, message_id=self._message_id)
         yield self._base_task_pipeline._error_to_stream_response(err)
 
-    def _handle_workflow_started_event(
-        self, event: QueueWorkflowStartedEvent, *, graph_runtime_state: Optional[GraphRuntimeState] = None, **kwargs
-    ) -> Generator[StreamResponse, None, None]:
+    def _handle_workflow_started_event(self, *args, **kwargs) -> Generator[StreamResponse, None, None]:
         """Handle workflow started events."""
-        # Override graph runtime state - this is a side effect but necessary
-        graph_runtime_state = event.graph_runtime_state
-
         with self._database_session() as session:
             workflow_execution = self._workflow_cycle_manager.handle_workflow_run_start()
             self._workflow_run_id = workflow_execution.id_
@@ -333,15 +332,14 @@ class AdvancedChatAppGenerateTaskPipeline:
         """Handle node retry events."""
         self._ensure_workflow_initialized()
 
-        with self._database_session() as session:
-            workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
-                workflow_execution_id=self._workflow_run_id, event=event
-            )
-            node_retry_resp = self._workflow_response_converter.workflow_node_retry_to_stream_response(
-                event=event,
-                task_id=self._application_generate_entity.task_id,
-                workflow_node_execution=workflow_node_execution,
-            )
+        workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
+            workflow_execution_id=self._workflow_run_id, event=event
+        )
+        node_retry_resp = self._workflow_response_converter.workflow_node_retry_to_stream_response(
+            event=event,
+            task_id=self._application_generate_entity.task_id,
+            workflow_node_execution=workflow_node_execution,
+        )
 
         if node_retry_resp:
             yield node_retry_resp
@@ -375,13 +373,12 @@ class AdvancedChatAppGenerateTaskPipeline:
                 self._workflow_response_converter.fetch_files_from_node_outputs(event.outputs or {})
             )
 
-        with self._database_session() as session:
-            workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success(event=event)
-            node_finish_resp = self._workflow_response_converter.workflow_node_finish_to_stream_response(
-                event=event,
-                task_id=self._application_generate_entity.task_id,
-                workflow_node_execution=workflow_node_execution,
-            )
+        workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success(event=event)
+        node_finish_resp = self._workflow_response_converter.workflow_node_finish_to_stream_response(
+            event=event,
+            task_id=self._application_generate_entity.task_id,
+            workflow_node_execution=workflow_node_execution,
+        )
 
         self._save_output_for_event(event, workflow_node_execution.id)
 
@@ -390,7 +387,9 @@ class AdvancedChatAppGenerateTaskPipeline:
 
     def _handle_node_failed_events(
         self,
-        event: Union[QueueNodeFailedEvent, QueueNodeExceptionEvent],
+        event: Union[
+            QueueNodeFailedEvent, QueueNodeInIterationFailedEvent, QueueNodeInLoopFailedEvent, QueueNodeExceptionEvent
+        ],
         **kwargs,
     ) -> Generator[StreamResponse, None, None]:
         """Handle various node failure events."""
@@ -435,6 +434,32 @@ class AdvancedChatAppGenerateTaskPipeline:
             answer=delta_text, message_id=self._message_id, from_variable_selector=event.from_variable_selector
         )
 
+    def _handle_parallel_branch_started_event(
+        self, event: QueueParallelBranchRunStartedEvent, **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch started events."""
+        self._ensure_workflow_initialized()
+
+        parallel_start_resp = self._workflow_response_converter.workflow_parallel_branch_start_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_start_resp
+
+    def _handle_parallel_branch_finished_events(
+        self, event: Union[QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent], **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch finished events."""
+        self._ensure_workflow_initialized()
+
+        parallel_finish_resp = self._workflow_response_converter.workflow_parallel_branch_finished_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_finish_resp
+
     def _handle_iteration_start_event(
         self, event: QueueIterationStartEvent, **kwargs
     ) -> Generator[StreamResponse, None, None]:
@@ -726,6 +751,8 @@ class AdvancedChatAppGenerateTaskPipeline:
             QueueNodeRetryEvent: self._handle_node_retry_event,
             QueueNodeStartedEvent: self._handle_node_started_event,
             QueueNodeSucceededEvent: self._handle_node_succeeded_event,
+            # Parallel branch events
+            QueueParallelBranchRunStartedEvent: self._handle_parallel_branch_started_event,
             # Iteration events
             QueueIterationStartEvent: self._handle_iteration_start_event,
             QueueIterationNextEvent: self._handle_iteration_next_event,
@@ -773,6 +800,8 @@ class AdvancedChatAppGenerateTaskPipeline:
             event,
             (
                 QueueNodeFailedEvent,
+                QueueNodeInIterationFailedEvent,
+                QueueNodeInLoopFailedEvent,
                 QueueNodeExceptionEvent,
             ),
         ):
@@ -785,6 +814,17 @@ class AdvancedChatAppGenerateTaskPipeline:
             )
             return
 
+        # Handle parallel branch finished events with isinstance check
+        if isinstance(event, (QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent)):
+            yield from self._handle_parallel_branch_finished_events(
+                event,
+                graph_runtime_state=graph_runtime_state,
+                tts_publisher=tts_publisher,
+                trace_manager=trace_manager,
+                queue_message=queue_message,
+            )
+            return
+
         # For unhandled events, we continue (original behavior)
         return
 
@@ -808,6 +848,11 @@ class AdvancedChatAppGenerateTaskPipeline:
                     graph_runtime_state = event.graph_runtime_state
                     yield from self._handle_workflow_started_event(event)
 
+                case QueueTextChunkEvent():
+                    yield from self._handle_text_chunk_event(
+                        event, tts_publisher=tts_publisher, queue_message=queue_message
+                    )
+
                 case QueueErrorEvent():
                     yield from self._handle_error_event(event)
                     break
@@ -886,10 +931,6 @@ class AdvancedChatAppGenerateTaskPipeline:
             self._task_state.metadata.usage = usage
         else:
             self._task_state.metadata.usage = LLMUsage.empty_usage()
-        message_was_created.send(
-            message,
-            application_generate_entity=self._application_generate_entity,
-        )
 
     def _message_end_to_stream_response(self) -> MessageEndStreamResponse:
         """

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

@@ -1,6 +1,8 @@
 import logging
 from typing import cast
 
+from sqlalchemy import select
+
 from core.agent.cot_chat_agent_runner import CotChatAgentRunner
 from core.agent.cot_completion_agent_runner import CotCompletionAgentRunner
 from core.agent.entities import AgentEntity
@@ -44,8 +46,8 @@ class AgentChatAppRunner(AppRunner):
         """
         app_config = application_generate_entity.app_config
         app_config = cast(AgentChatAppConfig, app_config)
-
-        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
+        app_stmt = select(App).where(App.id == app_config.app_id)
+        app_record = db.session.scalar(app_stmt)
         if not app_record:
             raise ValueError("App not found")
 
@@ -182,11 +184,12 @@ class AgentChatAppRunner(AppRunner):
 
         if {ModelFeature.MULTI_TOOL_CALL, ModelFeature.TOOL_CALL}.intersection(model_schema.features or []):
             agent_entity.strategy = AgentEntity.Strategy.FUNCTION_CALLING
-
-        conversation_result = db.session.query(Conversation).where(Conversation.id == conversation.id).first()
+        conversation_stmt = select(Conversation).where(Conversation.id == conversation.id)
+        conversation_result = db.session.scalar(conversation_stmt)
         if conversation_result is None:
             raise ValueError("Conversation not found")
-        message_result = db.session.query(Message).where(Message.id == message.id).first()
+        msg_stmt = select(Message).where(Message.id == message.id)
+        message_result = db.session.scalar(msg_stmt)
         if message_result is None:
             raise ValueError("Message not found")
         db.session.close()

api/core/app/apps/base_app_generator.py

@@ -6,7 +6,7 @@ from sqlalchemy.orm import Session
 from core.app.app_config.entities import VariableEntityType
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file import File, FileUploadConfig
-from core.workflow.enums import NodeType
+from core.workflow.nodes.enums import NodeType
 from core.workflow.repositories.draft_variable_repository import (
     DraftVariableSaver,
     DraftVariableSaverFactory,

api/core/app/apps/base_app_queue_manager.py

@@ -1,7 +1,7 @@
 import queue
 import time
 from abc import abstractmethod
-from enum import Enum
+from enum import IntEnum, auto
 from typing import Any, Optional
 
 from sqlalchemy.orm import DeclarativeMeta
@@ -19,9 +19,9 @@ from core.app.entities.queue_entities import (
 from extensions.ext_redis import redis_client
 
 
-class PublishFrom(Enum):
-    APPLICATION_MANAGER = 1
-    TASK_PIPELINE = 2
+class PublishFrom(IntEnum):
+    APPLICATION_MANAGER = auto()
+    TASK_PIPELINE = auto()
 
 
 class AppQueueManager:
@@ -126,21 +126,6 @@ class AppQueueManager:
         stopped_cache_key = cls._generate_stopped_cache_key(task_id)
         redis_client.setex(stopped_cache_key, 600, 1)
 
-    @classmethod
-    def set_stop_flag_no_user_check(cls, task_id: str) -> None:
-        """
-        Set task stop flag without user permission check.
-        This method allows stopping workflows without user context.
-
-        :param task_id: The task ID to stop
-        :return:
-        """
-        if not task_id:
-            return
-
-        stopped_cache_key = cls._generate_stopped_cache_key(task_id)
-        redis_client.setex(stopped_cache_key, 600, 1)
-
     def _is_stopped(self) -> bool:
         """
         Check if task is stopped
@@ -174,7 +159,7 @@ class AppQueueManager:
     def _check_for_sqlalchemy_models(self, data: Any):
         # from entity to dict or list
         if isinstance(data, dict):
-            for key, value in data.items():
+            for value in data.values():
                 self._check_for_sqlalchemy_models(value)
         elif isinstance(data, list):
             for item in data:

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

@@ -1,6 +1,8 @@
 import logging
 from typing import cast
 
+from sqlalchemy import select
+
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.apps.base_app_runner import AppRunner
 from core.app.apps.chat.app_config_manager import ChatAppConfig
@@ -42,8 +44,8 @@ class ChatAppRunner(AppRunner):
         """
         app_config = application_generate_entity.app_config
         app_config = cast(ChatAppConfig, app_config)
-
-        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
+        stmt = select(App).where(App.id == app_config.app_id)
+        app_record = db.session.scalar(stmt)
         if not app_record:
             raise ValueError("App not found")
 

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

@@ -1,7 +1,7 @@
 import time
 from collections.abc import Mapping, Sequence
 from datetime import UTC, datetime
-from typing import Any, Optional, Union
+from typing import Any, Optional, Union, cast
 
 from sqlalchemy.orm import Session
 
@@ -16,9 +16,14 @@ from core.app.entities.queue_entities import (
     QueueLoopStartEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
 )
 from core.app.entities.task_entities import (
     AgentLogStreamResponse,
@@ -31,16 +36,18 @@ from core.app.entities.task_entities import (
     NodeFinishStreamResponse,
     NodeRetryStreamResponse,
     NodeStartStreamResponse,
+    ParallelBranchFinishedStreamResponse,
+    ParallelBranchStartStreamResponse,
     WorkflowFinishStreamResponse,
     WorkflowStartStreamResponse,
 )
 from core.file import FILE_MODEL_IDENTITY, File
-from core.tools.entities.tool_entities import ToolProviderType
 from core.tools.tool_manager import ToolManager
 from core.variables.segments import ArrayFileSegment, FileSegment, Segment
-from core.workflow.entities import WorkflowExecution, WorkflowNodeExecution
-from core.workflow.enums import WorkflowNodeExecutionStatus
+from core.workflow.entities.workflow_execution import WorkflowExecution
+from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus
 from core.workflow.nodes import NodeType
+from core.workflow.nodes.tool.entities import ToolNodeData
 from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
 from libs.datetime_utils import naive_utc_now
 from models import (
@@ -164,10 +171,11 @@ class WorkflowResponseConverter:
 
         # extras logic
         if event.node_type == NodeType.TOOL:
+            node_data = cast(ToolNodeData, event.node_data)
             response.data.extras["icon"] = ToolManager.get_tool_icon(
                 tenant_id=self._application_generate_entity.app_config.tenant_id,
-                provider_type=ToolProviderType(event.provider_type),
-                provider_id=event.provider_id,
+                provider_type=node_data.provider_type,
+                provider_id=node_data.provider_id,
             )
 
         return response
@@ -175,7 +183,11 @@ class WorkflowResponseConverter:
     def workflow_node_finish_to_stream_response(
         self,
         *,
-        event: QueueNodeSucceededEvent | QueueNodeFailedEvent | QueueNodeExceptionEvent,
+        event: QueueNodeSucceededEvent
+        | QueueNodeFailedEvent
+        | QueueNodeInIterationFailedEvent
+        | QueueNodeInLoopFailedEvent
+        | QueueNodeExceptionEvent,
         task_id: str,
         workflow_node_execution: WorkflowNodeExecution,
     ) -> Optional[NodeFinishStreamResponse]:
@@ -209,6 +221,9 @@ class WorkflowResponseConverter:
                 finished_at=int(workflow_node_execution.finished_at.timestamp()),
                 files=self.fetch_files_from_node_outputs(workflow_node_execution.outputs or {}),
                 parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
+                parent_parallel_id=event.parent_parallel_id,
+                parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                 iteration_id=event.in_iteration_id,
                 loop_id=event.in_loop_id,
             ),
@@ -260,6 +275,50 @@ class WorkflowResponseConverter:
             ),
         )
 
+    def workflow_parallel_branch_start_to_stream_response(
+        self,
+        *,
+        task_id: str,
+        workflow_execution_id: str,
+        event: QueueParallelBranchRunStartedEvent,
+    ) -> ParallelBranchStartStreamResponse:
+        return ParallelBranchStartStreamResponse(
+            task_id=task_id,
+            workflow_run_id=workflow_execution_id,
+            data=ParallelBranchStartStreamResponse.Data(
+                parallel_id=event.parallel_id,
+                parallel_branch_id=event.parallel_start_node_id,
+                parent_parallel_id=event.parent_parallel_id,
+                parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                iteration_id=event.in_iteration_id,
+                loop_id=event.in_loop_id,
+                created_at=int(time.time()),
+            ),
+        )
+
+    def workflow_parallel_branch_finished_to_stream_response(
+        self,
+        *,
+        task_id: str,
+        workflow_execution_id: str,
+        event: QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent,
+    ) -> ParallelBranchFinishedStreamResponse:
+        return ParallelBranchFinishedStreamResponse(
+            task_id=task_id,
+            workflow_run_id=workflow_execution_id,
+            data=ParallelBranchFinishedStreamResponse.Data(
+                parallel_id=event.parallel_id,
+                parallel_branch_id=event.parallel_start_node_id,
+                parent_parallel_id=event.parent_parallel_id,
+                parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                iteration_id=event.in_iteration_id,
+                loop_id=event.in_loop_id,
+                status="succeeded" if isinstance(event, QueueParallelBranchRunSucceededEvent) else "failed",
+                error=event.error if isinstance(event, QueueParallelBranchRunFailedEvent) else None,
+                created_at=int(time.time()),
+            ),
+        )
+
     def workflow_iteration_start_to_stream_response(
         self,
         *,
@@ -274,11 +333,13 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 created_at=int(time.time()),
                 extras={},
                 inputs=event.inputs or {},
                 metadata=event.metadata or {},
+                parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
             ),
         )
 
@@ -296,10 +357,15 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 index=event.index,
+                pre_iteration_output=event.output,
                 created_at=int(time.time()),
                 extras={},
+                parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
+                parallel_mode_run_id=event.parallel_mode_run_id,
+                duration=event.duration,
             ),
         )
 
@@ -318,7 +384,7 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 outputs=json_converter.to_json_encodable(event.outputs),
                 created_at=int(time.time()),
                 extras={},
@@ -332,6 +398,8 @@ class WorkflowResponseConverter:
                 execution_metadata=event.metadata,
                 finished_at=int(time.time()),
                 steps=event.steps,
+                parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
             ),
         )
 
@@ -345,7 +413,7 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 created_at=int(time.time()),
                 extras={},
                 inputs=event.inputs or {},
@@ -369,7 +437,7 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 index=event.index,
                 pre_loop_output=event.output,
                 created_at=int(time.time()),
@@ -377,6 +445,7 @@ class WorkflowResponseConverter:
                 parallel_id=event.parallel_id,
                 parallel_start_node_id=event.parallel_start_node_id,
                 parallel_mode_run_id=event.parallel_mode_run_id,
+                duration=event.duration,
             ),
         )
 
@@ -394,7 +463,7 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 outputs=WorkflowRuntimeTypeConverter().to_json_encodable(event.outputs),
                 created_at=int(time.time()),
                 extras={},

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

@@ -6,6 +6,7 @@ from typing import Any, Literal, Union, overload
 
 from flask import Flask, copy_current_request_context, current_app
 from pydantic import ValidationError
+from sqlalchemy import select
 
 from configs import dify_config
 from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter
@@ -248,17 +249,14 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         :param invoke_from: invoke from source
         :param stream: is stream
         """
-        message = (
-            db.session.query(Message)
-            .where(
-                Message.id == message_id,
-                Message.app_id == app_model.id,
-                Message.from_source == ("api" if isinstance(user, EndUser) else "console"),
-                Message.from_end_user_id == (user.id if isinstance(user, EndUser) else None),
-                Message.from_account_id == (user.id if isinstance(user, Account) else None),
-            )
-            .first()
+        stmt = select(Message).where(
+            Message.id == message_id,
+            Message.app_id == app_model.id,
+            Message.from_source == ("api" if isinstance(user, EndUser) else "console"),
+            Message.from_end_user_id == (user.id if isinstance(user, EndUser) else None),
+            Message.from_account_id == (user.id if isinstance(user, Account) else None),
         )
+        message = db.session.scalar(stmt)
 
         if not message:
             raise MessageNotExistsError()

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

@@ -1,6 +1,8 @@
 import logging
 from typing import cast
 
+from sqlalchemy import select
+
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.apps.base_app_runner import AppRunner
 from core.app.apps.completion.app_config_manager import CompletionAppConfig
@@ -35,8 +37,8 @@ class CompletionAppRunner(AppRunner):
         """
         app_config = application_generate_entity.app_config
         app_config = cast(CompletionAppConfig, app_config)
-
-        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
+        stmt = select(App).where(App.id == app_config.app_id)
+        app_record = db.session.scalar(stmt)
         if not app_record:
             raise ValueError("App not found")
 

api/core/app/apps/message_based_app_generator.py

@@ -3,6 +3,9 @@ import logging
 from collections.abc import Generator
 from typing import Optional, Union, cast
 
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
 from core.app.app_config.entities import EasyUIBasedAppConfig, EasyUIBasedAppModelConfigFrom
 from core.app.apps.base_app_generator import BaseAppGenerator
 from core.app.apps.base_app_queue_manager import AppQueueManager
@@ -83,11 +86,10 @@ class MessageBasedAppGenerator(BaseAppGenerator):
 
     def _get_app_model_config(self, app_model: App, conversation: Optional[Conversation] = None) -> AppModelConfig:
         if conversation:
-            app_model_config = (
-                db.session.query(AppModelConfig)
-                .where(AppModelConfig.id == conversation.app_model_config_id, AppModelConfig.app_id == app_model.id)
-                .first()
+            stmt = select(AppModelConfig).where(
+                AppModelConfig.id == conversation.app_model_config_id, AppModelConfig.app_id == app_model.id
             )
+            app_model_config = db.session.scalar(stmt)
 
             if not app_model_config:
                 raise AppModelConfigBrokenError()
@@ -253,7 +255,8 @@ class MessageBasedAppGenerator(BaseAppGenerator):
         :param conversation_id: conversation id
         :return: conversation
         """
-        conversation = db.session.query(Conversation).where(Conversation.id == conversation_id).first()
+        with Session(db.engine, expire_on_commit=False) as session:
+            conversation = session.scalar(select(Conversation).where(Conversation.id == conversation_id))
 
         if not conversation:
             raise ConversationNotExistsError("Conversation not exists")
@@ -266,7 +269,8 @@ class MessageBasedAppGenerator(BaseAppGenerator):
         :param message_id: message id
         :return: message
         """
-        message = db.session.query(Message).where(Message.id == message_id).first()
+        with Session(db.engine, expire_on_commit=False) as session:
+            message = session.scalar(select(Message).where(Message.id == message_id))
 
         if message is None:
             raise MessageNotExistsError("Message not exists")

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

@@ -3,7 +3,7 @@ import logging
 import threading
 import uuid
 from collections.abc import Generator, Mapping, Sequence
-from typing import Any, Literal, Union, overload
+from typing import Any, Literal, Optional, Union, overload
 
 from flask import Flask, current_app
 from pydantic import ValidationError
@@ -53,6 +53,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: Literal[True],
         call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Generator[Mapping | str, None, None]: ...
 
     @overload
@@ -66,6 +67,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: Literal[False],
         call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Mapping[str, Any]: ...
 
     @overload
@@ -79,6 +81,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: bool,
         call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ...
 
     def generate(
@@ -91,6 +94,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: bool = True,
         call_depth: int = 0,
+        workflow_thread_pool_id: Optional[str] = None,
     ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]:
         files: Sequence[Mapping[str, Any]] = args.get("files") or []
 
@@ -182,6 +186,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
             streaming=streaming,
+            workflow_thread_pool_id=workflow_thread_pool_id,
         )
 
     def _generate(
@@ -195,6 +200,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         workflow_execution_repository: WorkflowExecutionRepository,
         workflow_node_execution_repository: WorkflowNodeExecutionRepository,
         streaming: bool = True,
+        workflow_thread_pool_id: Optional[str] = None,
         variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER,
     ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
         """
@@ -208,6 +214,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         :param workflow_execution_repository: repository for workflow execution
         :param workflow_node_execution_repository: repository for workflow node execution
         :param streaming: is stream
+        :param workflow_thread_pool_id: workflow thread pool id
         """
         # init queue manager
         queue_manager = WorkflowAppQueueManager(
@@ -230,6 +237,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
                 "application_generate_entity": application_generate_entity,
                 "queue_manager": queue_manager,
                 "context": context,
+                "workflow_thread_pool_id": workflow_thread_pool_id,
                 "variable_loader": variable_loader,
             },
         )
@@ -426,7 +434,17 @@ class WorkflowAppGenerator(BaseAppGenerator):
         queue_manager: AppQueueManager,
         context: contextvars.Context,
         variable_loader: VariableLoader,
+        workflow_thread_pool_id: Optional[str] = None,
     ) -> None:
+        """
+        Generate worker in a new thread.
+        :param flask_app: Flask app
+        :param application_generate_entity: application generate entity
+        :param queue_manager: queue manager
+        :param workflow_thread_pool_id: workflow thread pool id
+        :return:
+        """
+
         with preserve_flask_contexts(flask_app, context_vars=context):
             with Session(db.engine, expire_on_commit=False) as session:
                 workflow = session.scalar(
@@ -456,6 +474,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             runner = WorkflowAppRunner(
                 application_generate_entity=application_generate_entity,
                 queue_manager=queue_manager,
+                workflow_thread_pool_id=workflow_thread_pool_id,
                 variable_loader=variable_loader,
                 workflow=workflow,
                 system_user_id=system_user_id,

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

@@ -1,7 +1,7 @@
 import logging
-import time
-from typing import cast
+from typing import Optional, cast
 
+from configs import dify_config
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.apps.workflow.app_config_manager import WorkflowAppConfig
 from core.app.apps.workflow_app_runner import WorkflowBasedAppRunner
@@ -9,14 +9,13 @@ from core.app.entities.app_invoke_entities import (
     InvokeFrom,
     WorkflowAppGenerateEntity,
 )
-from core.workflow.entities import GraphRuntimeState, VariablePool
-from core.workflow.graph_engine.command_channels.redis_channel import RedisChannel
+from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
+from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
-from extensions.ext_redis import redis_client
 from models.enums import UserFrom
-from models.workflow import Workflow
+from models.workflow import Workflow, WorkflowType
 
 logger = logging.getLogger(__name__)
 
@@ -32,6 +31,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
         application_generate_entity: WorkflowAppGenerateEntity,
         queue_manager: AppQueueManager,
         variable_loader: VariableLoader,
+        workflow_thread_pool_id: Optional[str] = None,
         workflow: Workflow,
         system_user_id: str,
     ) -> None:
@@ -41,6 +41,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
             app_id=application_generate_entity.app_config.app_id,
         )
         self.application_generate_entity = application_generate_entity
+        self.workflow_thread_pool_id = workflow_thread_pool_id
         self._workflow = workflow
         self._sys_user_id = system_user_id
 
@@ -51,30 +52,24 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
         app_config = self.application_generate_entity.app_config
         app_config = cast(WorkflowAppConfig, app_config)
 
+        workflow_callbacks: list[WorkflowCallback] = []
+        if dify_config.DEBUG:
+            workflow_callbacks.append(WorkflowLoggingCallback())
+
         # if only single iteration run is requested
         if self.application_generate_entity.single_iteration_run:
             # if only single iteration run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_iteration_run.node_id,
                 user_inputs=self.application_generate_entity.single_iteration_run.inputs,
-                graph_runtime_state=graph_runtime_state,
             )
         elif self.application_generate_entity.single_loop_run:
             # if only single loop run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_loop_run.node_id,
                 user_inputs=self.application_generate_entity.single_loop_run.inputs,
-                graph_runtime_state=graph_runtime_state,
             )
         else:
             inputs = self.application_generate_entity.inputs
@@ -97,26 +92,15 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
                 conversation_variables=[],
             )
 
-            graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())
-
             # init graph
-            graph = self._init_graph(
-                graph_config=self._workflow.graph_dict,
-                graph_runtime_state=graph_runtime_state,
-                workflow_id=self._workflow.id,
-                tenant_id=self._workflow.tenant_id,
-            )
+            graph = self._init_graph(graph_config=self._workflow.graph_dict)
 
         # RUN WORKFLOW
-        # Create Redis command channel for this workflow execution
-        task_id = self.application_generate_entity.task_id
-        channel_key = f"workflow:{task_id}:commands"
-        command_channel = RedisChannel(redis_client, channel_key)
-
         workflow_entry = WorkflowEntry(
             tenant_id=self._workflow.tenant_id,
             app_id=self._workflow.app_id,
             workflow_id=self._workflow.id,
+            workflow_type=WorkflowType.value_of(self._workflow.type),
             graph=graph,
             graph_config=self._workflow.graph_dict,
             user_id=self.application_generate_entity.user_id,
@@ -127,11 +111,11 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
             ),
             invoke_from=self.application_generate_entity.invoke_from,
             call_depth=self.application_generate_entity.call_depth,
-            graph_runtime_state=graph_runtime_state,
-            command_channel=command_channel,
+            variable_pool=variable_pool,
+            thread_pool_id=self.workflow_thread_pool_id,
         )
 
-        generator = workflow_entry.run()
+        generator = workflow_entry.run(callbacks=workflow_callbacks)
 
         for event in generator:
             self._handle_event(workflow_entry, event)

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

@@ -89,7 +89,7 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
+                response_chunk.update(sub_stream_response.to_ignore_detail_dict())  # ty: ignore [unresolved-attribute]
             else:
                 response_chunk.update(sub_stream_response.to_dict())
             yield response_chunk

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

@@ -2,7 +2,7 @@ import logging
 import time
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
-from typing import Optional, Union
+from typing import Any, Optional, Union
 
 from sqlalchemy.orm import Session
 
@@ -14,7 +14,6 @@ from core.app.entities.app_invoke_entities import (
     WorkflowAppGenerateEntity,
 )
 from core.app.entities.queue_entities import (
-    AppQueueEvent,
     MessageQueueMessage,
     QueueAgentLogEvent,
     QueueErrorEvent,
@@ -26,9 +25,14 @@ from core.app.entities.queue_entities import (
     QueueLoopStartEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
     QueuePingEvent,
     QueueStopEvent,
     QueueTextChunkEvent,
@@ -53,8 +57,8 @@ from core.app.entities.task_entities import (
 from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline
 from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
 from core.ops.ops_trace_manager import TraceQueueManager
-from core.workflow.entities import GraphRuntimeState, WorkflowExecution
-from core.workflow.enums import WorkflowExecutionStatus, WorkflowType
+from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType
+from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
@@ -296,16 +300,15 @@ class WorkflowAppGenerateTaskPipeline:
         """Handle node retry events."""
         self._ensure_workflow_initialized()
 
-        with self._database_session() as session:
-            workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
-                workflow_execution_id=self._workflow_run_id,
-                event=event,
-            )
-            response = self._workflow_response_converter.workflow_node_retry_to_stream_response(
-                event=event,
-                task_id=self._application_generate_entity.task_id,
-                workflow_node_execution=workflow_node_execution,
-            )
+        workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        response = self._workflow_response_converter.workflow_node_retry_to_stream_response(
+            event=event,
+            task_id=self._application_generate_entity.task_id,
+            workflow_node_execution=workflow_node_execution,
+        )
 
         if response:
             yield response
@@ -346,7 +349,9 @@ class WorkflowAppGenerateTaskPipeline:
 
     def _handle_node_failed_events(
         self,
-        event: Union[QueueNodeFailedEvent, QueueNodeExceptionEvent],
+        event: Union[
+            QueueNodeFailedEvent, QueueNodeInIterationFailedEvent, QueueNodeInLoopFailedEvent, QueueNodeExceptionEvent
+        ],
         **kwargs,
     ) -> Generator[StreamResponse, None, None]:
         """Handle various node failure events."""
@@ -365,6 +370,32 @@ class WorkflowAppGenerateTaskPipeline:
         if node_failed_response:
             yield node_failed_response
 
+    def _handle_parallel_branch_started_event(
+        self, event: QueueParallelBranchRunStartedEvent, **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch started events."""
+        self._ensure_workflow_initialized()
+
+        parallel_start_resp = self._workflow_response_converter.workflow_parallel_branch_start_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_start_resp
+
+    def _handle_parallel_branch_finished_events(
+        self, event: Union[QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent], **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch finished events."""
+        self._ensure_workflow_initialized()
+
+        parallel_finish_resp = self._workflow_response_converter.workflow_parallel_branch_finished_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_finish_resp
+
     def _handle_iteration_start_event(
         self, event: QueueIterationStartEvent, **kwargs
     ) -> Generator[StreamResponse, None, None]:
@@ -586,6 +617,8 @@ class WorkflowAppGenerateTaskPipeline:
             QueueNodeRetryEvent: self._handle_node_retry_event,
             QueueNodeStartedEvent: self._handle_node_started_event,
             QueueNodeSucceededEvent: self._handle_node_succeeded_event,
+            # Parallel branch events
+            QueueParallelBranchRunStartedEvent: self._handle_parallel_branch_started_event,
             # Iteration events
             QueueIterationStartEvent: self._handle_iteration_start_event,
             QueueIterationNextEvent: self._handle_iteration_next_event,
@@ -600,7 +633,7 @@ class WorkflowAppGenerateTaskPipeline:
 
     def _dispatch_event(
         self,
-        event: AppQueueEvent,
+        event: Any,
         *,
         graph_runtime_state: Optional[GraphRuntimeState] = None,
         tts_publisher: Optional[AppGeneratorTTSPublisher] = None,
@@ -627,6 +660,8 @@ class WorkflowAppGenerateTaskPipeline:
             event,
             (
                 QueueNodeFailedEvent,
+                QueueNodeInIterationFailedEvent,
+                QueueNodeInLoopFailedEvent,
                 QueueNodeExceptionEvent,
             ),
         ):
@@ -639,6 +674,17 @@ class WorkflowAppGenerateTaskPipeline:
             )
             return
 
+        # Handle parallel branch finished events with isinstance check
+        if isinstance(event, (QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent)):
+            yield from self._handle_parallel_branch_finished_events(
+                event,
+                graph_runtime_state=graph_runtime_state,
+                tts_publisher=tts_publisher,
+                trace_manager=trace_manager,
+                queue_message=queue_message,
+            )
+            return
+
         # Handle workflow failed and stop events with isinstance check
         if isinstance(event, (QueueWorkflowFailedEvent, QueueStopEvent)):
             yield from self._handle_workflow_failed_and_stop_events(

api/core/app/apps/workflow_app_runner.py

@@ -2,7 +2,6 @@ from collections.abc import Mapping
 from typing import Any, cast
 
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
-from core.app.entities.app_invoke_entities import InvokeFrom
 from core.app.entities.queue_entities import (
     AppQueueEvent,
     QueueAgentLogEvent,
@@ -14,9 +13,14 @@ from core.app.entities.queue_entities import (
     QueueLoopStartEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
     QueueRetrieverResourcesEvent,
     QueueTextChunkEvent,
     QueueWorkflowFailedEvent,
@@ -24,39 +28,42 @@ from core.app.entities.queue_entities import (
     QueueWorkflowStartedEvent,
     QueueWorkflowSucceededEvent,
 )
-from core.workflow.entities import GraphInitParams, GraphRuntimeState, VariablePool
-from core.workflow.graph import Graph
-from core.workflow.graph_events import (
+from core.workflow.entities.variable_pool import VariablePool
+from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
+from core.workflow.graph_engine.entities.event import (
+    AgentLogEvent,
     GraphEngineEvent,
     GraphRunFailedEvent,
     GraphRunPartialSucceededEvent,
     GraphRunStartedEvent,
     GraphRunSucceededEvent,
-    NodeRunAgentLogEvent,
+    IterationRunFailedEvent,
+    IterationRunNextEvent,
+    IterationRunStartedEvent,
+    IterationRunSucceededEvent,
+    LoopRunFailedEvent,
+    LoopRunNextEvent,
+    LoopRunStartedEvent,
+    LoopRunSucceededEvent,
+    NodeInIterationFailedEvent,
+    NodeInLoopFailedEvent,
     NodeRunExceptionEvent,
     NodeRunFailedEvent,
-    NodeRunIterationFailedEvent,
-    NodeRunIterationNextEvent,
-    NodeRunIterationStartedEvent,
-    NodeRunIterationSucceededEvent,
-    NodeRunLoopFailedEvent,
-    NodeRunLoopNextEvent,
-    NodeRunLoopStartedEvent,
-    NodeRunLoopSucceededEvent,
     NodeRunRetrieverResourceEvent,
     NodeRunRetryEvent,
     NodeRunStartedEvent,
     NodeRunStreamChunkEvent,
     NodeRunSucceededEvent,
+    ParallelBranchRunFailedEvent,
+    ParallelBranchRunStartedEvent,
+    ParallelBranchRunSucceededEvent,
 )
-from core.workflow.graph_events.graph import GraphRunAbortedEvent
+from core.workflow.graph_engine.entities.graph import Graph
 from core.workflow.nodes import NodeType
-from core.workflow.nodes.node_factory import DifyNodeFactory
 from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
 from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool
 from core.workflow.workflow_entry import WorkflowEntry
-from models.enums import UserFrom
 from models.workflow import Workflow
 
 
@@ -72,14 +79,7 @@ class WorkflowBasedAppRunner:
         self._variable_loader = variable_loader
         self._app_id = app_id
 
-    def _init_graph(
-        self,
-        graph_config: Mapping[str, Any],
-        graph_runtime_state: GraphRuntimeState,
-        workflow_id: str = "",
-        tenant_id: str = "",
-        user_id: str = "",
-    ) -> Graph:
+    def _init_graph(self, graph_config: Mapping[str, Any]) -> Graph:
         """
         Init graph
         """
@@ -91,28 +91,8 @@ class WorkflowBasedAppRunner:
 
         if not isinstance(graph_config.get("edges"), list):
             raise ValueError("edges in workflow graph must be a list")
-
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=tenant_id or "",
-            app_id=self._app_id,
-            workflow_id=workflow_id,
-            graph_config=graph_config,
-            user_id=user_id,
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        # Use the provided graph_runtime_state for consistent state management
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-
         # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory)
+        graph = Graph.init(graph_config=graph_config)
 
         if not graph:
             raise ValueError("graph not found in workflow")
@@ -124,7 +104,6 @@ class WorkflowBasedAppRunner:
         workflow: Workflow,
         node_id: str,
         user_inputs: dict,
-        graph_runtime_state: GraphRuntimeState,
     ) -> tuple[Graph, VariablePool]:
         """
         Get variable pool of single iteration
@@ -149,9 +128,7 @@ class WorkflowBasedAppRunner:
         node_configs = [
             node
             for node in graph_config.get("nodes", [])
-            if node.get("id") == node_id
-            or node.get("data", {}).get("iteration_id", "") == node_id
-            or node.get("id") == f"{node_id}start"
+            if node.get("id") == node_id or node.get("data", {}).get("iteration_id", "") == node_id
         ]
 
         graph_config["nodes"] = node_configs
@@ -168,25 +145,8 @@ class WorkflowBasedAppRunner:
 
         graph_config["edges"] = edge_configs
 
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=workflow.tenant_id,
-            app_id=self._app_id,
-            workflow_id=workflow.id,
-            graph_config=graph_config,
-            user_id="",
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-
         # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=node_id)
+        graph = Graph.init(graph_config=graph_config, root_node_id=node_id)
 
         if not graph:
             raise ValueError("graph not found in workflow")
@@ -241,7 +201,6 @@ class WorkflowBasedAppRunner:
         workflow: Workflow,
         node_id: str,
         user_inputs: dict,
-        graph_runtime_state: GraphRuntimeState,
     ) -> tuple[Graph, VariablePool]:
         """
         Get variable pool of single loop
@@ -266,9 +225,7 @@ class WorkflowBasedAppRunner:
         node_configs = [
             node
             for node in graph_config.get("nodes", [])
-            if node.get("id") == node_id
-            or node.get("data", {}).get("loop_id", "") == node_id
-            or node.get("id") == f"{node_id}start"
+            if node.get("id") == node_id or node.get("data", {}).get("loop_id", "") == node_id
         ]
 
         graph_config["nodes"] = node_configs
@@ -285,25 +242,8 @@ class WorkflowBasedAppRunner:
 
         graph_config["edges"] = edge_configs
 
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=workflow.tenant_id,
-            app_id=self._app_id,
-            workflow_id=workflow.id,
-            graph_config=graph_config,
-            user_id="",
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-
         # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=node_id)
+        graph = Graph.init(graph_config=graph_config, root_node_id=node_id)
 
         if not graph:
             raise ValueError("graph not found in workflow")
@@ -370,21 +310,29 @@ class WorkflowBasedAppRunner:
             )
         elif isinstance(event, GraphRunFailedEvent):
             self._publish_event(QueueWorkflowFailedEvent(error=event.error, exceptions_count=event.exceptions_count))
-        elif isinstance(event, GraphRunAbortedEvent):
-            self._publish_event(QueueWorkflowFailedEvent(error=event.reason or "Unknown error", exceptions_count=0))
         elif isinstance(event, NodeRunRetryEvent):
-            node_run_result = event.node_run_result
-            inputs = node_run_result.inputs
-            process_data = node_run_result.process_data
-            outputs = node_run_result.outputs
-            execution_metadata = node_run_result.metadata
+            node_run_result = event.route_node_state.node_run_result
+            inputs: Mapping[str, Any] | None = {}
+            process_data: Mapping[str, Any] | None = {}
+            outputs: Mapping[str, Any] | None = {}
+            execution_metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] | None = {}
+            if node_run_result:
+                inputs = node_run_result.inputs
+                process_data = node_run_result.process_data
+                outputs = node_run_result.outputs
+                execution_metadata = node_run_result.metadata
             self._publish_event(
                 QueueNodeRetryEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
-                    node_title=event.node_title,
                     node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
+                    node_run_index=event.route_node_state.index,
                     predecessor_node_id=event.predecessor_node_id,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
@@ -395,8 +343,6 @@ class WorkflowBasedAppRunner:
                     error=event.error,
                     execution_metadata=execution_metadata,
                     retry_index=event.retry_index,
-                    provider_type=event.provider_type,
-                    provider_id=event.provider_id,
                 )
             )
         elif isinstance(event, NodeRunStartedEvent):
@@ -404,30 +350,44 @@ class WorkflowBasedAppRunner:
                 QueueNodeStartedEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
-                    node_title=event.node_title,
                     node_type=event.node_type,
-                    start_at=event.start_at,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    node_run_index=event.route_node_state.index,
                     predecessor_node_id=event.predecessor_node_id,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                     parallel_mode_run_id=event.parallel_mode_run_id,
                     agent_strategy=event.agent_strategy,
-                    provider_type=event.provider_type,
-                    provider_id=event.provider_id,
                 )
             )
         elif isinstance(event, NodeRunSucceededEvent):
-            node_run_result = event.node_run_result
-            inputs = node_run_result.inputs
-            process_data = node_run_result.process_data
-            outputs = node_run_result.outputs
-            execution_metadata = node_run_result.metadata
+            node_run_result = event.route_node_state.node_run_result
+            if node_run_result:
+                inputs = node_run_result.inputs
+                process_data = node_run_result.process_data
+                outputs = node_run_result.outputs
+                execution_metadata = node_run_result.metadata
+            else:
+                inputs = {}
+                process_data = {}
+                outputs = {}
+                execution_metadata = {}
             self._publish_event(
                 QueueNodeSucceededEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
                     node_type=event.node_type,
-                    start_at=event.start_at,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
                     inputs=inputs,
                     process_data=process_data,
                     outputs=outputs,
@@ -436,18 +396,34 @@ class WorkflowBasedAppRunner:
                     in_loop_id=event.in_loop_id,
                 )
             )
+
         elif isinstance(event, NodeRunFailedEvent):
             self._publish_event(
                 QueueNodeFailedEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
                     node_type=event.node_type,
-                    start_at=event.start_at,
-                    inputs=event.node_run_result.inputs,
-                    process_data=event.node_run_result.process_data,
-                    outputs=event.node_run_result.outputs,
-                    error=event.node_run_result.error or "Unknown error",
-                    execution_metadata=event.node_run_result.metadata,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs or {}
+                    if event.route_node_state.node_run_result
+                    else {},
+                    error=event.route_node_state.node_run_result.error
+                    if event.route_node_state.node_run_result and event.route_node_state.node_run_result.error
+                    else "Unknown error",
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )
@@ -458,21 +434,93 @@ class WorkflowBasedAppRunner:
                     node_execution_id=event.id,
                     node_id=event.node_id,
                     node_type=event.node_type,
-                    start_at=event.start_at,
-                    inputs=event.node_run_result.inputs,
-                    process_data=event.node_run_result.process_data,
-                    outputs=event.node_run_result.outputs,
-                    error=event.node_run_result.error or "Unknown error",
-                    execution_metadata=event.node_run_result.metadata,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    error=event.route_node_state.node_run_result.error
+                    if event.route_node_state.node_run_result and event.route_node_state.node_run_result.error
+                    else "Unknown error",
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )
             )
+
+        elif isinstance(event, NodeInIterationFailedEvent):
+            self._publish_event(
+                QueueNodeInIterationFailedEvent(
+                    node_execution_id=event.id,
+                    node_id=event.node_id,
+                    node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs or {}
+                    if event.route_node_state.node_run_result
+                    else {},
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
+                    in_iteration_id=event.in_iteration_id,
+                    error=event.error,
+                )
+            )
+        elif isinstance(event, NodeInLoopFailedEvent):
+            self._publish_event(
+                QueueNodeInLoopFailedEvent(
+                    node_execution_id=event.id,
+                    node_id=event.node_id,
+                    node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs or {}
+                    if event.route_node_state.node_run_result
+                    else {},
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
+                    in_loop_id=event.in_loop_id,
+                    error=event.error,
+                )
+            )
         elif isinstance(event, NodeRunStreamChunkEvent):
             self._publish_event(
                 QueueTextChunkEvent(
-                    text=event.chunk,
-                    from_variable_selector=list(event.selector),
+                    text=event.chunk_content,
+                    from_variable_selector=event.from_variable_selector,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )
@@ -485,10 +533,10 @@ class WorkflowBasedAppRunner:
                     in_loop_id=event.in_loop_id,
                 )
             )
-        elif isinstance(event, NodeRunAgentLogEvent):
+        elif isinstance(event, AgentLogEvent):
             self._publish_event(
                 QueueAgentLogEvent(
-                    id=event.message_id,
+                    id=event.id,
                     label=event.label,
                     node_execution_id=event.node_execution_id,
                     parent_id=event.parent_id,
@@ -499,13 +547,51 @@ class WorkflowBasedAppRunner:
                     node_id=event.node_id,
                 )
             )
-        elif isinstance(event, NodeRunIterationStartedEvent):
+        elif isinstance(event, ParallelBranchRunStartedEvent):
+            self._publish_event(
+                QueueParallelBranchRunStartedEvent(
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    in_iteration_id=event.in_iteration_id,
+                    in_loop_id=event.in_loop_id,
+                )
+            )
+        elif isinstance(event, ParallelBranchRunSucceededEvent):
+            self._publish_event(
+                QueueParallelBranchRunSucceededEvent(
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    in_iteration_id=event.in_iteration_id,
+                    in_loop_id=event.in_loop_id,
+                )
+            )
+        elif isinstance(event, ParallelBranchRunFailedEvent):
+            self._publish_event(
+                QueueParallelBranchRunFailedEvent(
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    in_iteration_id=event.in_iteration_id,
+                    in_loop_id=event.in_loop_id,
+                    error=event.error,
+                )
+            )
+        elif isinstance(event, IterationRunStartedEvent):
             self._publish_event(
                 QueueIterationStartEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.iteration_id,
+                    node_id=event.iteration_node_id,
+                    node_type=event.iteration_node_type,
+                    node_data=event.iteration_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
@@ -513,41 +599,55 @@ class WorkflowBasedAppRunner:
                     metadata=event.metadata,
                 )
             )
-        elif isinstance(event, NodeRunIterationNextEvent):
+        elif isinstance(event, IterationRunNextEvent):
             self._publish_event(
                 QueueIterationNextEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.iteration_id,
+                    node_id=event.iteration_node_id,
+                    node_type=event.iteration_node_type,
+                    node_data=event.iteration_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     index=event.index,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     output=event.pre_iteration_output,
+                    parallel_mode_run_id=event.parallel_mode_run_id,
+                    duration=event.duration,
                 )
             )
-        elif isinstance(event, (NodeRunIterationSucceededEvent | NodeRunIterationFailedEvent)):
+        elif isinstance(event, (IterationRunSucceededEvent | IterationRunFailedEvent)):
             self._publish_event(
                 QueueIterationCompletedEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.iteration_id,
+                    node_id=event.iteration_node_id,
+                    node_type=event.iteration_node_type,
+                    node_data=event.iteration_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
                     outputs=event.outputs,
                     metadata=event.metadata,
                     steps=event.steps,
-                    error=event.error if isinstance(event, NodeRunIterationFailedEvent) else None,
+                    error=event.error if isinstance(event, IterationRunFailedEvent) else None,
                 )
             )
-        elif isinstance(event, NodeRunLoopStartedEvent):
+        elif isinstance(event, LoopRunStartedEvent):
             self._publish_event(
                 QueueLoopStartEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.loop_id,
+                    node_id=event.loop_node_id,
+                    node_type=event.loop_node_type,
+                    node_data=event.loop_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
@@ -555,32 +655,42 @@ class WorkflowBasedAppRunner:
                     metadata=event.metadata,
                 )
             )
-        elif isinstance(event, NodeRunLoopNextEvent):
+        elif isinstance(event, LoopRunNextEvent):
             self._publish_event(
                 QueueLoopNextEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.loop_id,
+                    node_id=event.loop_node_id,
+                    node_type=event.loop_node_type,
+                    node_data=event.loop_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     index=event.index,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     output=event.pre_loop_output,
+                    parallel_mode_run_id=event.parallel_mode_run_id,
+                    duration=event.duration,
                 )
             )
-        elif isinstance(event, (NodeRunLoopSucceededEvent | NodeRunLoopFailedEvent)):
+        elif isinstance(event, (LoopRunSucceededEvent | LoopRunFailedEvent)):
             self._publish_event(
                 QueueLoopCompletedEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.loop_id,
+                    node_id=event.loop_node_id,
+                    node_type=event.loop_node_type,
+                    node_data=event.loop_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
                     outputs=event.outputs,
                     metadata=event.metadata,
                     steps=event.steps,
-                    error=event.error if isinstance(event, NodeRunLoopFailedEvent) else None,
+                    error=event.error if isinstance(event, LoopRunFailedEvent) else None,
                 )
             )
 

api/core/app/entities/queue_entities.py

@@ -7,9 +7,11 @@ from pydantic import BaseModel
 
 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
-from core.workflow.entities import AgentNodeStrategyInit, GraphRuntimeState
-from core.workflow.enums import WorkflowNodeExecutionMetadataKey
+from core.workflow.entities.node_entities import AgentNodeStrategyInit
+from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
+from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.nodes import NodeType
+from core.workflow.nodes.base import BaseNodeData
 
 
 class QueueEvent(StrEnum):
@@ -41,6 +43,9 @@ class QueueEvent(StrEnum):
     ANNOTATION_REPLY = "annotation_reply"
     AGENT_THOUGHT = "agent_thought"
     MESSAGE_FILE = "message_file"
+    PARALLEL_BRANCH_RUN_STARTED = "parallel_branch_run_started"
+    PARALLEL_BRANCH_RUN_SUCCEEDED = "parallel_branch_run_succeeded"
+    PARALLEL_BRANCH_RUN_FAILED = "parallel_branch_run_failed"
     AGENT_LOG = "agent_log"
     ERROR = "error"
     PING = "ping"
@@ -75,7 +80,15 @@ class QueueIterationStartEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
-    node_title: str
+    node_data: BaseNodeData
+    parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
     start_at: datetime
 
     node_run_index: int
@@ -95,9 +108,20 @@ class QueueIterationNextEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
-    node_title: str
+    node_data: BaseNodeData
+    parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    parallel_mode_run_id: Optional[str] = None
+    """iteration run in parallel mode run id"""
     node_run_index: int
     output: Optional[Any] = None  # output for the current iteration
+    duration: Optional[float] = None
 
 
 class QueueIterationCompletedEvent(AppQueueEvent):
@@ -110,7 +134,15 @@ class QueueIterationCompletedEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
-    node_title: str
+    node_data: BaseNodeData
+    parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
     start_at: datetime
 
     node_run_index: int
@@ -131,7 +163,7 @@ class QueueLoopStartEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
-    node_title: str
+    node_data: BaseNodeData
     parallel_id: Optional[str] = None
     """parallel id if node is in parallel"""
     parallel_start_node_id: Optional[str] = None
@@ -159,7 +191,7 @@ class QueueLoopNextEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
-    node_title: str
+    node_data: BaseNodeData
     parallel_id: Optional[str] = None
     """parallel id if node is in parallel"""
     parallel_start_node_id: Optional[str] = None
@@ -172,6 +204,7 @@ class QueueLoopNextEvent(AppQueueEvent):
     """iteration run in parallel mode run id"""
     node_run_index: int
     output: Optional[Any] = None  # output for the current loop
+    duration: Optional[float] = None
 
 
 class QueueLoopCompletedEvent(AppQueueEvent):
@@ -184,7 +217,7 @@ class QueueLoopCompletedEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
-    node_title: str
+    node_data: BaseNodeData
     parallel_id: Optional[str] = None
     """parallel id if node is in parallel"""
     parallel_start_node_id: Optional[str] = None
@@ -331,24 +364,27 @@ class QueueNodeStartedEvent(AppQueueEvent):
 
     node_execution_id: str
     node_id: str
-    node_title: str
     node_type: NodeType
-    node_run_index: int = 1  # FIXME(-LAN-): may not used
+    node_data: BaseNodeData
+    node_run_index: int = 1
     predecessor_node_id: Optional[str] = None
     parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
     parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
     parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
     parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
     in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
     in_loop_id: Optional[str] = None
+    """loop id if node is in loop"""
     start_at: datetime
     parallel_mode_run_id: Optional[str] = None
+    """iteration run in parallel mode run id"""
     agent_strategy: Optional[AgentNodeStrategyInit] = None
 
-    # FIXME(-LAN-): only for ToolNode, need to refactor
-    provider_type: str  # should be a core.tools.entities.tool_entities.ToolProviderType
-    provider_id: str
-
 
 class QueueNodeSucceededEvent(AppQueueEvent):
     """
@@ -360,6 +396,7 @@ class QueueNodeSucceededEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
+    node_data: BaseNodeData
     parallel_id: Optional[str] = None
     """parallel id if node is in parallel"""
     parallel_start_node_id: Optional[str] = None
@@ -380,6 +417,10 @@ class QueueNodeSucceededEvent(AppQueueEvent):
     execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None
 
     error: Optional[str] = None
+    """single iteration duration map"""
+    iteration_duration_map: Optional[dict[str, float]] = None
+    """single loop duration map"""
+    loop_duration_map: Optional[dict[str, float]] = None
 
 
 class QueueAgentLogEvent(AppQueueEvent):
@@ -413,6 +454,72 @@ class QueueNodeRetryEvent(QueueNodeStartedEvent):
     retry_index: int  # retry index
 
 
+class QueueNodeInIterationFailedEvent(AppQueueEvent):
+    """
+    QueueNodeInIterationFailedEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.NODE_FAILED
+
+    node_execution_id: str
+    node_id: str
+    node_type: NodeType
+    node_data: BaseNodeData
+    parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
+    in_loop_id: Optional[str] = None
+    """loop id if node is in loop"""
+    start_at: datetime
+
+    inputs: Optional[Mapping[str, Any]] = None
+    process_data: Optional[Mapping[str, Any]] = None
+    outputs: Optional[Mapping[str, Any]] = None
+    execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None
+
+    error: str
+
+
+class QueueNodeInLoopFailedEvent(AppQueueEvent):
+    """
+    QueueNodeInLoopFailedEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.NODE_FAILED
+
+    node_execution_id: str
+    node_id: str
+    node_type: NodeType
+    node_data: BaseNodeData
+    parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
+    in_loop_id: Optional[str] = None
+    """loop id if node is in loop"""
+    start_at: datetime
+
+    inputs: Optional[Mapping[str, Any]] = None
+    process_data: Optional[Mapping[str, Any]] = None
+    outputs: Optional[Mapping[str, Any]] = None
+    execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None
+
+    error: str
+
+
 class QueueNodeExceptionEvent(AppQueueEvent):
     """
     QueueNodeExceptionEvent entity
@@ -423,6 +530,7 @@ class QueueNodeExceptionEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
+    node_data: BaseNodeData
     parallel_id: Optional[str] = None
     """parallel id if node is in parallel"""
     parallel_start_node_id: Optional[str] = None
@@ -455,7 +563,15 @@ class QueueNodeFailedEvent(AppQueueEvent):
     node_execution_id: str
     node_id: str
     node_type: NodeType
+    node_data: BaseNodeData
     parallel_id: Optional[str] = None
+    """parallel id if node is in parallel"""
+    parallel_start_node_id: Optional[str] = None
+    """parallel start node id if node is in parallel"""
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
     in_iteration_id: Optional[str] = None
     """iteration id if node is in iteration"""
     in_loop_id: Optional[str] = None
@@ -562,3 +678,61 @@ class WorkflowQueueMessage(QueueMessage):
     """
 
     pass
+
+
+class QueueParallelBranchRunStartedEvent(AppQueueEvent):
+    """
+    QueueParallelBranchRunStartedEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.PARALLEL_BRANCH_RUN_STARTED
+
+    parallel_id: str
+    parallel_start_node_id: str
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
+    in_loop_id: Optional[str] = None
+    """loop id if node is in loop"""
+
+
+class QueueParallelBranchRunSucceededEvent(AppQueueEvent):
+    """
+    QueueParallelBranchRunSucceededEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.PARALLEL_BRANCH_RUN_SUCCEEDED
+
+    parallel_id: str
+    parallel_start_node_id: str
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
+    in_loop_id: Optional[str] = None
+    """loop id if node is in loop"""
+
+
+class QueueParallelBranchRunFailedEvent(AppQueueEvent):
+    """
+    QueueParallelBranchRunFailedEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.PARALLEL_BRANCH_RUN_FAILED
+
+    parallel_id: str
+    parallel_start_node_id: str
+    parent_parallel_id: Optional[str] = None
+    """parent parallel id if node is in parallel"""
+    parent_parallel_start_node_id: Optional[str] = None
+    """parent parallel start node id if node is in parallel"""
+    in_iteration_id: Optional[str] = None
+    """iteration id if node is in iteration"""
+    in_loop_id: Optional[str] = None
+    """loop id if node is in loop"""
+    error: str

api/core/app/entities/task_entities.py

@@ -7,8 +7,8 @@ from pydantic import BaseModel, ConfigDict, Field
 from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage
 from core.model_runtime.utils.encoders import jsonable_encoder
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
-from core.workflow.entities import AgentNodeStrategyInit
-from core.workflow.enums import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
+from core.workflow.entities.node_entities import AgentNodeStrategyInit
+from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
 
 
 class AnnotationReplyAccount(BaseModel):
@@ -71,6 +71,8 @@ class StreamEvent(Enum):
     NODE_STARTED = "node_started"
     NODE_FINISHED = "node_finished"
     NODE_RETRY = "node_retry"
+    PARALLEL_BRANCH_STARTED = "parallel_branch_started"
+    PARALLEL_BRANCH_FINISHED = "parallel_branch_finished"
     ITERATION_STARTED = "iteration_started"
     ITERATION_NEXT = "iteration_next"
     ITERATION_COMPLETED = "iteration_completed"
@@ -438,6 +440,54 @@ class NodeRetryStreamResponse(StreamResponse):
         }
 
 
+class ParallelBranchStartStreamResponse(StreamResponse):
+    """
+    ParallelBranchStartStreamResponse entity
+    """
+
+    class Data(BaseModel):
+        """
+        Data entity
+        """
+
+        parallel_id: str
+        parallel_branch_id: str
+        parent_parallel_id: Optional[str] = None
+        parent_parallel_start_node_id: Optional[str] = None
+        iteration_id: Optional[str] = None
+        loop_id: Optional[str] = None
+        created_at: int
+
+    event: StreamEvent = StreamEvent.PARALLEL_BRANCH_STARTED
+    workflow_run_id: str
+    data: Data
+
+
+class ParallelBranchFinishedStreamResponse(StreamResponse):
+    """
+    ParallelBranchFinishedStreamResponse entity
+    """
+
+    class Data(BaseModel):
+        """
+        Data entity
+        """
+
+        parallel_id: str
+        parallel_branch_id: str
+        parent_parallel_id: Optional[str] = None
+        parent_parallel_start_node_id: Optional[str] = None
+        iteration_id: Optional[str] = None
+        loop_id: Optional[str] = None
+        status: str
+        error: Optional[str] = None
+        created_at: int
+
+    event: StreamEvent = StreamEvent.PARALLEL_BRANCH_FINISHED
+    workflow_run_id: str
+    data: Data
+
+
 class IterationNodeStartStreamResponse(StreamResponse):
     """
     NodeStartStreamResponse entity
@@ -456,6 +506,8 @@ class IterationNodeStartStreamResponse(StreamResponse):
         extras: dict = Field(default_factory=dict)
         metadata: Mapping = {}
         inputs: Mapping = {}
+        parallel_id: Optional[str] = None
+        parallel_start_node_id: Optional[str] = None
 
     event: StreamEvent = StreamEvent.ITERATION_STARTED
     workflow_run_id: str
@@ -478,7 +530,12 @@ class IterationNodeNextStreamResponse(StreamResponse):
         title: str
         index: int
         created_at: int
+        pre_iteration_output: Optional[Any] = None
         extras: dict = Field(default_factory=dict)
+        parallel_id: Optional[str] = None
+        parallel_start_node_id: Optional[str] = None
+        parallel_mode_run_id: Optional[str] = None
+        duration: Optional[float] = None
 
     event: StreamEvent = StreamEvent.ITERATION_NEXT
     workflow_run_id: str
@@ -510,6 +567,8 @@ class IterationNodeCompletedStreamResponse(StreamResponse):
         execution_metadata: Optional[Mapping] = None
         finished_at: int
         steps: int
+        parallel_id: Optional[str] = None
+        parallel_start_node_id: Optional[str] = None
 
     event: StreamEvent = StreamEvent.ITERATION_COMPLETED
     workflow_run_id: str
@@ -563,6 +622,7 @@ class LoopNodeNextStreamResponse(StreamResponse):
         parallel_id: Optional[str] = None
         parallel_start_node_id: Optional[str] = None
         parallel_mode_run_id: Optional[str] = None
+        duration: Optional[float] = None
 
     event: StreamEvent = StreamEvent.LOOP_NEXT
     workflow_run_id: str

api/core/app/features/annotation_reply/annotation_reply.py

@@ -1,6 +1,8 @@
 import logging
 from typing import Optional
 
+from sqlalchemy import select
+
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.rag.datasource.vdb.vector_factory import Vector
 from extensions.ext_database import db
@@ -25,9 +27,8 @@ class AnnotationReplyFeature:
         :param invoke_from: invoke from
         :return:
         """
-        annotation_setting = (
-            db.session.query(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app_record.id).first()
-        )
+        stmt = select(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app_record.id)
+        annotation_setting = db.session.scalar(stmt)
 
         if not annotation_setting:
             return None

api/core/app/features/rate_limiting/rate_limit.py

@@ -96,7 +96,11 @@ class RateLimit:
         if isinstance(generator, Mapping):
             return generator
         else:
-            return RateLimitGenerator(rate_limit=self, generator=generator, request_id=request_id)
+            return RateLimitGenerator(
+                rate_limit=self,
+                generator=generator,  # ty: ignore [invalid-argument-type]
+                request_id=request_id,
+            )
 
 
 class RateLimitGenerator:

api/core/app/task_pipeline/based_generate_task_pipeline.py

@@ -50,7 +50,7 @@ class BasedGenerateTaskPipeline:
         if isinstance(e, InvokeAuthorizationError):
             err = InvokeAuthorizationError("Incorrect API key provided")
         elif isinstance(e, InvokeError | ValueError):
-            err = e
+            err = e  # ty: ignore [invalid-assignment]
         else:
             description = getattr(e, "description", None)
             err = Exception(description if description is not None else str(e))

api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py

@@ -472,9 +472,10 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
         :param event: agent thought event
         :return:
         """
-        agent_thought: Optional[MessageAgentThought] = (
-            db.session.query(MessageAgentThought).where(MessageAgentThought.id == event.agent_thought_id).first()
-        )
+        with Session(db.engine, expire_on_commit=False) as session:
+            agent_thought: Optional[MessageAgentThought] = (
+                session.query(MessageAgentThought).where(MessageAgentThought.id == event.agent_thought_id).first()
+            )
 
         if agent_thought:
             return AgentThoughtStreamResponse(

api/core/app/task_pipeline/message_cycle_manager.py

@@ -3,6 +3,8 @@ from threading import Thread
 from typing import Optional, Union
 
 from flask import Flask, current_app
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 
 from configs import dify_config
 from core.app.entities.app_invoke_entities import (
@@ -84,7 +86,8 @@ class MessageCycleManager:
     def _generate_conversation_name_worker(self, flask_app: Flask, conversation_id: str, query: str):
         with flask_app.app_context():
             # get conversation and message
-            conversation = db.session.query(Conversation).where(Conversation.id == conversation_id).first()
+            stmt = select(Conversation).where(Conversation.id == conversation_id)
+            conversation = db.session.scalar(stmt)
 
             if not conversation:
                 return
@@ -98,7 +101,7 @@ class MessageCycleManager:
                 try:
                     name = LLMGenerator.generate_conversation_name(app_model.tenant_id, query)
                     conversation.name = name
-                except Exception as e:
+                except Exception:
                     if dify_config.DEBUG:
                         logger.exception("generate conversation name failed, conversation_id: %s", conversation_id)
                     pass
@@ -143,7 +146,8 @@ class MessageCycleManager:
         :param event: event
         :return:
         """
-        message_file = db.session.query(MessageFile).where(MessageFile.id == event.message_file_id).first()
+        with Session(db.engine, expire_on_commit=False) as session:
+            message_file = session.scalar(select(MessageFile).where(MessageFile.id == event.message_file_id))
 
         if message_file and message_file.url is not None:
             # get tool file id
@@ -183,7 +187,8 @@ class MessageCycleManager:
         :param message_id: message id
         :return:
         """
-        message_file = db.session.query(MessageFile).where(MessageFile.id == message_id).first()
+        with Session(db.engine, expire_on_commit=False) as session:
+            message_file = session.scalar(select(MessageFile).where(MessageFile.id == message_id))
         event_type = StreamEvent.MESSAGE_FILE if message_file else StreamEvent.MESSAGE
 
         return MessageStreamResponse(

api/core/callback_handler/index_tool_callback_handler.py

@@ -1,6 +1,8 @@
 import logging
 from collections.abc import Sequence
 
+from sqlalchemy import select
+
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.app.entities.queue_entities import QueueRetrieverResourcesEvent
@@ -49,7 +51,8 @@ class DatasetIndexToolCallbackHandler:
         for document in documents:
             if document.metadata is not None:
                 document_id = document.metadata["document_id"]
-                dataset_document = db.session.query(DatasetDocument).where(DatasetDocument.id == document_id).first()
+                dataset_document_stmt = select(DatasetDocument).where(DatasetDocument.id == document_id)
+                dataset_document = db.session.scalar(dataset_document_stmt)
                 if not dataset_document:
                     _logger.warning(
                         "Expected DatasetDocument record to exist, but none was found, document_id=%s",
@@ -57,17 +60,14 @@ class DatasetIndexToolCallbackHandler:
                     )
                     continue
                 if dataset_document.doc_form == IndexType.PARENT_CHILD_INDEX:
-                    child_chunk = (
-                        db.session.query(ChildChunk)
-                        .where(
-                            ChildChunk.index_node_id == document.metadata["doc_id"],
-                            ChildChunk.dataset_id == dataset_document.dataset_id,
-                            ChildChunk.document_id == dataset_document.id,
-                        )
-                        .first()
+                    child_chunk_stmt = select(ChildChunk).where(
+                        ChildChunk.index_node_id == document.metadata["doc_id"],
+                        ChildChunk.dataset_id == dataset_document.dataset_id,
+                        ChildChunk.document_id == dataset_document.id,
                     )
+                    child_chunk = db.session.scalar(child_chunk_stmt)
                     if child_chunk:
-                        segment = (
+                        _ = (
                             db.session.query(DocumentSegment)
                             .where(DocumentSegment.id == child_chunk.segment_id)
                             .update(

api/core/entities/provider_configuration.py

@@ -1,5 +1,6 @@
 import json
 import logging
+import re
 from collections import defaultdict
 from collections.abc import Iterator, Sequence
 from json import JSONDecodeError
@@ -28,6 +29,7 @@ from core.model_runtime.entities.provider_entities import (
 )
 from core.model_runtime.model_providers.__base.ai_model import AIModel
 from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.plugin.entities.plugin import ModelProviderID
 from extensions.ext_database import db
 from libs.datetime_utils import naive_utc_now
 from models.provider import (
@@ -40,7 +42,6 @@ from models.provider import (
     ProviderType,
     TenantPreferredModelProvider,
 )
-from models.provider_ids import ModelProviderID
 
 logger = logging.getLogger(__name__)
 
@@ -343,7 +344,65 @@ class ProviderConfiguration(BaseModel):
             with Session(db.engine) as new_session:
                 return _validate(new_session)
 
-    def create_provider_credential(self, credentials: dict, credential_name: str) -> None:
+    def _generate_provider_credential_name(self, session) -> str:
+        """
+        Generate a unique credential name for provider.
+        :return: credential name
+        """
+        return self._generate_next_api_key_name(
+            session=session,
+            query_factory=lambda: select(ProviderCredential).where(
+                ProviderCredential.tenant_id == self.tenant_id,
+                ProviderCredential.provider_name == self.provider.provider,
+            ),
+        )
+
+    def _generate_custom_model_credential_name(self, model: str, model_type: ModelType, session) -> str:
+        """
+        Generate a unique credential name for custom model.
+        :return: credential name
+        """
+        return self._generate_next_api_key_name(
+            session=session,
+            query_factory=lambda: select(ProviderModelCredential).where(
+                ProviderModelCredential.tenant_id == self.tenant_id,
+                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.model_name == model,
+                ProviderModelCredential.model_type == model_type.to_origin_model_type(),
+            ),
+        )
+
+    def _generate_next_api_key_name(self, session, query_factory) -> str:
+        """
+        Generate next available API KEY name by finding the highest numbered suffix.
+        :param session: database session
+        :param query_factory: function that returns the SQLAlchemy query
+        :return: next available API KEY name
+        """
+        try:
+            stmt = query_factory()
+            credential_records = session.execute(stmt).scalars().all()
+
+            if not credential_records:
+                return "API KEY 1"
+
+            # Extract numbers from API KEY pattern using list comprehension
+            pattern = re.compile(r"^API KEY\s+(\d+)$")
+            numbers = [
+                int(match.group(1))
+                for cr in credential_records
+                if cr.credential_name and (match := pattern.match(cr.credential_name.strip()))
+            ]
+
+            # Return next sequential number
+            next_number = max(numbers, default=0) + 1
+            return f"API KEY {next_number}"
+
+        except Exception as e:
+            logger.warning("Error generating next credential name: %s", str(e))
+            return "API KEY 1"
+
+    def create_provider_credential(self, credentials: dict, credential_name: str | None) -> None:
         """
         Add custom provider credentials.
         :param credentials: provider credentials
@@ -351,8 +410,11 @@ class ProviderConfiguration(BaseModel):
         :return:
         """
         with Session(db.engine) as session:
-            if self._check_provider_credential_name_exists(credential_name=credential_name, session=session):
-                raise ValueError(f"Credential with name '{credential_name}' already exists.")
+            if credential_name:
+                if self._check_provider_credential_name_exists(credential_name=credential_name, session=session):
+                    raise ValueError(f"Credential with name '{credential_name}' already exists.")
+            else:
+                credential_name = self._generate_provider_credential_name(session)
 
             credentials = self.validate_provider_credentials(credentials=credentials, session=session)
             provider_record = self._get_provider_record(session)
@@ -395,7 +457,7 @@ class ProviderConfiguration(BaseModel):
         self,
         credentials: dict,
         credential_id: str,
-        credential_name: str,
+        credential_name: str | None,
     ) -> None:
         """
         update a saved provider credential (by credential_id).
@@ -406,7 +468,7 @@ class ProviderConfiguration(BaseModel):
         :return:
         """
         with Session(db.engine) as session:
-            if self._check_provider_credential_name_exists(
+            if credential_name and self._check_provider_credential_name_exists(
                 credential_name=credential_name, session=session, exclude_id=credential_id
             ):
                 raise ValueError(f"Credential with name '{credential_name}' already exists.")
@@ -428,9 +490,9 @@ class ProviderConfiguration(BaseModel):
             try:
                 # Update credential
                 credential_record.encrypted_config = json.dumps(credentials)
-                credential_record.credential_name = credential_name
                 credential_record.updated_at = naive_utc_now()
-
+                if credential_name:
+                    credential_record.credential_name = credential_name
                 session.commit()
 
                 if provider_record and provider_record.credential_id == credential_id:
@@ -532,13 +594,7 @@ class ProviderConfiguration(BaseModel):
                         cache_type=ProviderCredentialsCacheType.LOAD_BALANCING_MODEL,
                     )
                     lb_credentials_cache.delete()
-
-                    lb_config.credential_id = None
-                    lb_config.encrypted_config = None
-                    lb_config.enabled = False
-                    lb_config.name = "__delete__"
-                    lb_config.updated_at = naive_utc_now()
-                    session.add(lb_config)
+                    session.delete(lb_config)
 
                 # Check if this is the currently active credential
                 provider_record = self._get_provider_record(session)
@@ -627,7 +683,6 @@ class ProviderConfiguration(BaseModel):
         Get custom model credentials.
         """
         # get provider model
-
         model_provider_id = ModelProviderID(self.provider.provider)
         provider_names = [self.provider.provider]
         if model_provider_id.is_langgenius():
@@ -823,7 +878,7 @@ class ProviderConfiguration(BaseModel):
                 return _validate(new_session)
 
     def create_custom_model_credential(
-        self, model_type: ModelType, model: str, credentials: dict, credential_name: str
+        self, model_type: ModelType, model: str, credentials: dict, credential_name: str | None
     ) -> None:
         """
         Create a custom model credential.
@@ -834,10 +889,15 @@ class ProviderConfiguration(BaseModel):
         :return:
         """
         with Session(db.engine) as session:
-            if self._check_custom_model_credential_name_exists(
-                model=model, model_type=model_type, credential_name=credential_name, session=session
-            ):
-                raise ValueError(f"Model credential with name '{credential_name}' already exists for {model}.")
+            if credential_name:
+                if self._check_custom_model_credential_name_exists(
+                    model=model, model_type=model_type, credential_name=credential_name, session=session
+                ):
+                    raise ValueError(f"Model credential with name '{credential_name}' already exists for {model}.")
+            else:
+                credential_name = self._generate_custom_model_credential_name(
+                    model=model, model_type=model_type, session=session
+                )
             # validate custom model config
             credentials = self.validate_custom_model_credentials(
                 model_type=model_type, model=model, credentials=credentials, session=session
@@ -881,7 +941,7 @@ class ProviderConfiguration(BaseModel):
                 raise
 
     def update_custom_model_credential(
-        self, model_type: ModelType, model: str, credentials: dict, credential_name: str, credential_id: str
+        self, model_type: ModelType, model: str, credentials: dict, credential_name: str | None, credential_id: str
     ) -> None:
         """
         Update a custom model credential.
@@ -894,7 +954,7 @@ class ProviderConfiguration(BaseModel):
         :return:
         """
         with Session(db.engine) as session:
-            if self._check_custom_model_credential_name_exists(
+            if credential_name and self._check_custom_model_credential_name_exists(
                 model=model,
                 model_type=model_type,
                 credential_name=credential_name,
@@ -926,8 +986,9 @@ class ProviderConfiguration(BaseModel):
             try:
                 # Update credential
                 credential_record.encrypted_config = json.dumps(credentials)
-                credential_record.credential_name = credential_name
                 credential_record.updated_at = naive_utc_now()
+                if credential_name:
+                    credential_record.credential_name = credential_name
                 session.commit()
 
                 if provider_model_record and provider_model_record.credential_id == credential_id:
@@ -983,12 +1044,7 @@ class ProviderConfiguration(BaseModel):
                         cache_type=ProviderCredentialsCacheType.LOAD_BALANCING_MODEL,
                     )
                     lb_credentials_cache.delete()
-                    lb_config.credential_id = None
-                    lb_config.encrypted_config = None
-                    lb_config.enabled = False
-                    lb_config.name = "__delete__"
-                    lb_config.updated_at = naive_utc_now()
-                    session.add(lb_config)
+                    session.delete(lb_config)
 
                 # Check if this is the currently active credential
                 provider_model_record = self._get_custom_model_record(model_type, model, session=session)
@@ -1055,6 +1111,7 @@ class ProviderConfiguration(BaseModel):
                     provider_name=self.provider.provider,
                     model_name=model,
                     model_type=model_type.to_origin_model_type(),
+                    is_valid=True,
                     credential_id=credential_id,
                 )
             else:
@@ -1125,7 +1182,6 @@ class ProviderConfiguration(BaseModel):
         """
         Get provider model setting.
         """
-
         model_provider_id = ModelProviderID(self.provider.provider)
         provider_names = [self.provider.provider]
         if model_provider_id.is_langgenius():
@@ -1209,7 +1265,6 @@ class ProviderConfiguration(BaseModel):
         :param model: model name
         :return:
         """
-
         model_provider_id = ModelProviderID(self.provider.provider)
         provider_names = [self.provider.provider]
         if model_provider_id.is_langgenius():
@@ -1608,11 +1663,9 @@ class ProviderConfiguration(BaseModel):
                         if config.credential_source_type != "custom_model"
                     ]
 
-                    if len(provider_model_lb_configs) > 1:
-                        load_balancing_enabled = True
-
-                    if any(config.name == "__delete__" for config in provider_model_lb_configs):
-                        has_invalid_load_balancing_configs = True
+                    load_balancing_enabled = model_setting.load_balancing_enabled
+                    # when the user enable load_balancing but available configs are less than 2 display warning
+                    has_invalid_load_balancing_configs = load_balancing_enabled and len(provider_model_lb_configs) < 2
 
                 provider_models.append(
                     ModelWithProviderEntity(
@@ -1634,6 +1687,8 @@ class ProviderConfiguration(BaseModel):
         for model_configuration in self.custom_configuration.models:
             if model_configuration.model_type not in model_types:
                 continue
+            if model_configuration.unadded_to_model_list:
+                continue
             if model and model != model_configuration.model:
                 continue
             try:
@@ -1666,11 +1721,9 @@ class ProviderConfiguration(BaseModel):
                     if config.credential_source_type != "provider"
                 ]
 
-                if len(custom_model_lb_configs) > 1:
-                    load_balancing_enabled = True
-
-                if any(config.name == "__delete__" for config in custom_model_lb_configs):
-                    has_invalid_load_balancing_configs = True
+                load_balancing_enabled = model_setting.load_balancing_enabled
+                # when the user enable load_balancing but available configs are less than 2 display warning
+                has_invalid_load_balancing_configs = load_balancing_enabled and len(custom_model_lb_configs) < 2
 
             if len(model_configuration.available_model_credentials) > 0 and not model_configuration.credentials:
                 status = ModelStatus.CREDENTIAL_REMOVED

api/core/entities/provider_entities.py

@@ -111,11 +111,21 @@ class CustomModelConfiguration(BaseModel):
     current_credential_id: Optional[str] = None
     current_credential_name: Optional[str] = None
     available_model_credentials: list[CredentialConfiguration] = []
+    unadded_to_model_list: Optional[bool] = False
 
     # pydantic configs
     model_config = ConfigDict(protected_namespaces=())
 
 
+class UnaddedModelConfiguration(BaseModel):
+    """
+    Model class for provider unadded model configuration.
+    """
+
+    model: str
+    model_type: ModelType
+
+
 class CustomConfiguration(BaseModel):
     """
     Model class for provider custom configuration.
@@ -123,6 +133,7 @@ class CustomConfiguration(BaseModel):
 
     provider: Optional[CustomProviderConfiguration] = None
     models: list[CustomModelConfiguration] = []
+    can_added_models: list[UnaddedModelConfiguration] = []
 
 
 class ModelLoadBalancingConfiguration(BaseModel):
@@ -144,6 +155,7 @@ class ModelSettings(BaseModel):
     model: str
     model_type: ModelType
     enabled: bool = True
+    load_balancing_enabled: bool = False
     load_balancing_configs: list[ModelLoadBalancingConfiguration] = []
 
     # pydantic configs

api/core/extension/api_based_extension_requestor.py

@@ -43,9 +43,9 @@ class APIBasedExtensionRequestor:
                 timeout=self.timeout,
                 proxies=proxies,
             )
-        except requests.exceptions.Timeout:
+        except requests.Timeout:
             raise ValueError("request timeout")
-        except requests.exceptions.ConnectionError:
+        except requests.ConnectionError:
             raise ValueError("request connection error")
 
         if response.status_code != 200:

api/core/extension/extensible.py

@@ -91,7 +91,7 @@ class Extensible:
 
                 # Find extension class
                 extension_class = None
-                for name, obj in vars(mod).items():
+                for obj in vars(mod).values():
                     if isinstance(obj, type) and issubclass(obj, cls) and obj != cls:
                         extension_class = obj
                         break
@@ -123,7 +123,7 @@ class Extensible:
                     )
                 )
 
-        except Exception as e:
+        except Exception:
             logger.exception("Error scanning extensions")
             raise
 

api/core/extension/extension.py

@@ -41,9 +41,3 @@ class Extension:
         assert module_extension.extension_class is not None
         t: type = module_extension.extension_class
         return t
-
-    def validate_form_schema(self, module: ExtensionModule, extension_name: str, config: dict) -> None:
-        module_extension = self.module_extension(module, extension_name)
-        form_schema = module_extension.form_schema
-
-        # TODO validate form_schema

api/core/external_data_tool/api/api.py

@@ -1,5 +1,7 @@
 from typing import Optional
 
+from sqlalchemy import select
+
 from core.extension.api_based_extension_requestor import APIBasedExtensionRequestor
 from core.external_data_tool.base import ExternalDataTool
 from core.helper import encrypter
@@ -28,13 +30,11 @@ class ApiExternalDataTool(ExternalDataTool):
         api_based_extension_id = config.get("api_based_extension_id")
         if not api_based_extension_id:
             raise ValueError("api_based_extension_id is required")
-
         # get api_based_extension
-        api_based_extension = (
-            db.session.query(APIBasedExtension)
-            .where(APIBasedExtension.tenant_id == tenant_id, APIBasedExtension.id == api_based_extension_id)
-            .first()
+        stmt = select(APIBasedExtension).where(
+            APIBasedExtension.tenant_id == tenant_id, APIBasedExtension.id == api_based_extension_id
         )
+        api_based_extension = db.session.scalar(stmt)
 
         if not api_based_extension:
             raise ValueError("api_based_extension_id is invalid")
@@ -52,13 +52,11 @@ class ApiExternalDataTool(ExternalDataTool):
             raise ValueError(f"config is required, config: {self.config}")
         api_based_extension_id = self.config.get("api_based_extension_id")
         assert api_based_extension_id is not None, "api_based_extension_id is required"
-
         # get api_based_extension
-        api_based_extension = (
-            db.session.query(APIBasedExtension)
-            .where(APIBasedExtension.tenant_id == self.tenant_id, APIBasedExtension.id == api_based_extension_id)
-            .first()
+        stmt = select(APIBasedExtension).where(
+            APIBasedExtension.tenant_id == self.tenant_id, APIBasedExtension.id == api_based_extension_id
         )
+        api_based_extension = db.session.scalar(stmt)
 
         if not api_based_extension:
             raise ValueError(

api/core/external_data_tool/factory.py

@@ -22,7 +22,6 @@ class ExternalDataToolFactory:
         :param config: the form config data
         :return:
         """
-        code_based_extension.validate_form_schema(ExtensionModule.EXTERNAL_DATA_TOOL, name, config)
         extension_class = code_based_extension.extension_class(ExtensionModule.EXTERNAL_DATA_TOOL, name)
         # FIXME mypy issue here, figure out how to fix it
         extension_class.validate_config(tenant_id, config)  # type: ignore

api/core/helper/encrypter.py

@@ -3,7 +3,7 @@ import base64
 from libs import rsa
 
 
-def obfuscated_token(token: str):
+def obfuscated_token(token: str) -> str:
     if not token:
         return token
     if len(token) <= 8:
@@ -11,9 +11,13 @@ def obfuscated_token(token: str):
     return token[:6] + "*" * 12 + token[-2:]
 
 
+def full_mask_token(token_length=20):
+    return "*" * token_length
+
+
 def encrypt_token(tenant_id: str, token: str):
-    from extensions.ext_database import db
     from models.account import Tenant
+    from models.engine import db
 
     if not (tenant := db.session.query(Tenant).where(Tenant.id == tenant_id).first()):
         raise ValueError(f"Tenant with id {tenant_id} not found")

api/core/helper/marketplace.py

@@ -1,6 +1,6 @@
 from collections.abc import Sequence
 
-import requests
+import httpx
 from yarl import URL
 
 from configs import dify_config
@@ -23,7 +23,7 @@ def batch_fetch_plugin_manifests(plugin_ids: list[str]) -> Sequence[MarketplaceP
         return []
 
     url = str(marketplace_api_url / "api/v1/plugins/batch")
-    response = requests.post(url, json={"plugin_ids": plugin_ids})
+    response = httpx.post(url, json={"plugin_ids": plugin_ids})
     response.raise_for_status()
 
     return [MarketplacePluginDeclaration(**plugin) for plugin in response.json()["data"]["plugins"]]
@@ -36,13 +36,13 @@ def batch_fetch_plugin_manifests_ignore_deserialization_error(
         return []
 
     url = str(marketplace_api_url / "api/v1/plugins/batch")
-    response = requests.post(url, json={"plugin_ids": plugin_ids})
+    response = httpx.post(url, json={"plugin_ids": plugin_ids})
     response.raise_for_status()
     result: list[MarketplacePluginDeclaration] = []
     for plugin in response.json()["data"]["plugins"]:
         try:
             result.append(MarketplacePluginDeclaration(**plugin))
-        except Exception as e:
+        except Exception:
             pass
 
     return result
@@ -50,5 +50,5 @@ def batch_fetch_plugin_manifests_ignore_deserialization_error(
 
 def record_install_plugin_event(plugin_unique_identifier: str):
     url = str(marketplace_api_url / "api/v1/stats/plugins/install_count")
-    response = requests.post(url, json={"unique_identifier": plugin_unique_identifier})
+    response = httpx.post(url, json={"unique_identifier": plugin_unique_identifier})
     response.raise_for_status()

api/core/helper/module_import_helper.py

@@ -47,7 +47,7 @@ def get_subclasses_from_module(mod: ModuleType, parent_type: type) -> list[type]
 
 
 def load_single_subclass_from_source(
-    *, module_name: str, script_path: AnyStr, parent_type: type, use_lazy_loader: bool = False
+    *, module_name: str, script_path: str, parent_type: type, use_lazy_loader: bool = False
 ) -> type:
     """
     Load a single subclass from the source

api/core/helper/position_helper.py

@@ -1,7 +1,7 @@
 import os
 from collections import OrderedDict
 from collections.abc import Callable
-from typing import Any
+from typing import TypeVar
 
 from configs import dify_config
 from core.tools.utils.yaml_utils import load_yaml_file
@@ -72,11 +72,14 @@ def pin_position_map(original_position_map: dict[str, int], pin_list: list[str])
     return position_map
 
 
+T = TypeVar("T")
+
+
 def is_filtered(
     include_set: set[str],
     exclude_set: set[str],
-    data: Any,
-    name_func: Callable[[Any], str],
+    data: T,
+    name_func: Callable[[T], str],
 ) -> bool:
     """
     Check if the object should be filtered out.
@@ -103,9 +106,9 @@ def is_filtered(
 
 def sort_by_position_map(
     position_map: dict[str, int],
-    data: list[Any],
-    name_func: Callable[[Any], str],
-) -> list[Any]:
+    data: list[T],
+    name_func: Callable[[T], str],
+):
     """
     Sort the objects by the position map.
     If the name of the object is not in the position map, it will be put at the end.
@@ -122,9 +125,9 @@ def sort_by_position_map(
 
 def sort_to_dict_by_position_map(
     position_map: dict[str, int],
-    data: list[Any],
-    name_func: Callable[[Any], str],
-) -> OrderedDict[str, Any]:
+    data: list[T],
+    name_func: Callable[[T], str],
+):
     """
     Sort the objects into a ordered dict by the position map.
     If the name of the object is not in the position map, it will be put at the end.
@@ -134,4 +137,4 @@ def sort_to_dict_by_position_map(
     :return: an OrderedDict with the sorted pairs of name and object
     """
     sorted_items = sort_by_position_map(position_map, data, name_func)
-    return OrderedDict([(name_func(item), item) for item in sorted_items])
+    return OrderedDict((name_func(item), item) for item in sorted_items)

api/core/indexing_runner.py

@@ -5,9 +5,10 @@ import re
 import threading
 import time
 import uuid
-from typing import Any, Optional, cast
+from typing import Any, Optional
 
 from flask import current_app
+from sqlalchemy import select
 from sqlalchemy.orm.exc import ObjectDeletedError
 
 from configs import dify_config
@@ -18,6 +19,7 @@ from core.model_runtime.entities.model_entities import ModelType
 from core.rag.cleaner.clean_processor import CleanProcessor
 from core.rag.datasource.keyword.keyword_factory import Keyword
 from core.rag.docstore.dataset_docstore import DatasetDocumentStore
+from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from core.rag.index_processor.constant.index_type import IndexType
 from core.rag.index_processor.index_processor_base import BaseIndexProcessor
@@ -56,13 +58,11 @@ class IndexingRunner:
 
                 if not dataset:
                     raise ValueError("no dataset found")
-
                 # get the process rule
-                processing_rule = (
-                    db.session.query(DatasetProcessRule)
-                    .where(DatasetProcessRule.id == dataset_document.dataset_process_rule_id)
-                    .first()
+                stmt = select(DatasetProcessRule).where(
+                    DatasetProcessRule.id == dataset_document.dataset_process_rule_id
                 )
+                processing_rule = db.session.scalar(stmt)
                 if not processing_rule:
                     raise ValueError("no process rule found")
                 index_type = dataset_document.doc_form
@@ -123,11 +123,8 @@ class IndexingRunner:
                     db.session.query(ChildChunk).where(ChildChunk.segment_id == document_segment.id).delete()
             db.session.commit()
             # get the process rule
-            processing_rule = (
-                db.session.query(DatasetProcessRule)
-                .where(DatasetProcessRule.id == dataset_document.dataset_process_rule_id)
-                .first()
-            )
+            stmt = select(DatasetProcessRule).where(DatasetProcessRule.id == dataset_document.dataset_process_rule_id)
+            processing_rule = db.session.scalar(stmt)
             if not processing_rule:
                 raise ValueError("no process rule found")
 
@@ -208,7 +205,6 @@ class IndexingRunner:
                                     child_documents.append(child_document)
                                 document.children = child_documents
                         documents.append(document)
-
             # build index
             index_type = dataset_document.doc_form
             index_processor = IndexProcessorFactory(index_type).init_index_processor()
@@ -310,7 +306,8 @@ class IndexingRunner:
                 # delete image files and related db records
                 image_upload_file_ids = get_image_upload_file_ids(document.page_content)
                 for upload_file_id in image_upload_file_ids:
-                    image_file = db.session.query(UploadFile).where(UploadFile.id == upload_file_id).first()
+                    stmt = select(UploadFile).where(UploadFile.id == upload_file_id)
+                    image_file = db.session.scalar(stmt)
                     if image_file is None:
                         continue
                     try:
@@ -339,14 +336,14 @@ class IndexingRunner:
         if dataset_document.data_source_type == "upload_file":
             if not data_source_info or "upload_file_id" not in data_source_info:
                 raise ValueError("no upload file found")
-
-            file_detail = (
-                db.session.query(UploadFile).where(UploadFile.id == data_source_info["upload_file_id"]).one_or_none()
-            )
+            stmt = select(UploadFile).where(UploadFile.id == data_source_info["upload_file_id"])
+            file_detail = db.session.scalars(stmt).one_or_none()
 
             if file_detail:
                 extract_setting = ExtractSetting(
-                    datasource_type="upload_file", upload_file=file_detail, document_model=dataset_document.doc_form
+                    datasource_type=DatasourceType.FILE.value,
+                    upload_file=file_detail,
+                    document_model=dataset_document.doc_form,
                 )
                 text_docs = index_processor.extract(extract_setting, process_rule_mode=process_rule["mode"])
         elif dataset_document.data_source_type == "notion_import":
@@ -357,7 +354,7 @@ class IndexingRunner:
             ):
                 raise ValueError("no notion import info found")
             extract_setting = ExtractSetting(
-                datasource_type="notion_import",
+                datasource_type=DatasourceType.NOTION.value,
                 notion_info={
                     "notion_workspace_id": data_source_info["notion_workspace_id"],
                     "notion_obj_id": data_source_info["notion_page_id"],
@@ -377,7 +374,7 @@ class IndexingRunner:
             ):
                 raise ValueError("no website import info found")
             extract_setting = ExtractSetting(
-                datasource_type="website_crawl",
+                datasource_type=DatasourceType.WEBSITE.value,
                 website_info={
                     "provider": data_source_info["provider"],
                     "job_id": data_source_info["job_id"],
@@ -400,7 +397,6 @@ class IndexingRunner:
         )
 
         # replace doc id to document model id
-        text_docs = cast(list[Document], text_docs)
         for text_doc in text_docs:
             if text_doc.metadata is not None:
                 text_doc.metadata["document_id"] = dataset_document.id

api/core/llm_generator/llm_generator.py

@@ -28,9 +28,8 @@ from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
 from core.ops.utils import measure_time
 from core.prompt.utils.prompt_template_parser import PromptTemplateParser
 from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
-from core.workflow.node_events import AgentLogEvent
-from extensions.ext_database import db
-from models import App, Message, WorkflowNodeExecutionModel
+from core.workflow.graph_engine.entities.event import AgentLogEvent
+from models import App, Message, WorkflowNodeExecutionModel, db
 
 logger = logging.getLogger(__name__)
 
@@ -57,11 +56,8 @@ class LLMGenerator:
         prompts = [UserPromptMessage(content=prompt)]
 
         with measure_time() as timer:
-            response = cast(
-                LLMResult,
-                model_instance.invoke_llm(
-                    prompt_messages=list(prompts), model_parameters={"max_tokens": 500, "temperature": 1}, stream=False
-                ),
+            response: LLMResult = model_instance.invoke_llm(
+                prompt_messages=list(prompts), model_parameters={"max_tokens": 500, "temperature": 1}, stream=False
             )
         answer = cast(str, response.message.content)
         cleaned_answer = re.sub(r"^.*(\{.*\}).*$", r"\1", answer, flags=re.DOTALL)
@@ -70,7 +66,7 @@ class LLMGenerator:
         try:
             result_dict = json.loads(cleaned_answer)
             answer = result_dict["Your Output"]
-        except json.JSONDecodeError as e:
+        except json.JSONDecodeError:
             logger.exception("Failed to generate name after answer, use query instead")
             answer = query
         name = answer.strip()
@@ -114,13 +110,10 @@ class LLMGenerator:
         prompt_messages = [UserPromptMessage(content=prompt)]
 
         try:
-            response = cast(
-                LLMResult,
-                model_instance.invoke_llm(
-                    prompt_messages=list(prompt_messages),
-                    model_parameters={"max_tokens": 256, "temperature": 0},
-                    stream=False,
-                ),
+            response: LLMResult = model_instance.invoke_llm(
+                prompt_messages=list(prompt_messages),
+                model_parameters={"max_tokens": 256, "temperature": 0},
+                stream=False,
             )
 
             text_content = response.message.get_text_content()
@@ -163,11 +156,8 @@ class LLMGenerator:
             )
 
             try:
-                response = cast(
-                    LLMResult,
-                    model_instance.invoke_llm(
-                        prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
-                    ),
+                response: LLMResult = model_instance.invoke_llm(
+                    prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
                 )
 
                 rule_config["prompt"] = cast(str, response.message.content)
@@ -213,11 +203,8 @@ class LLMGenerator:
         try:
             try:
                 # the first step to generate the task prompt
-                prompt_content = cast(
-                    LLMResult,
-                    model_instance.invoke_llm(
-                        prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
-                    ),
+                prompt_content: LLMResult = model_instance.invoke_llm(
+                    prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
                 )
             except InvokeError as e:
                 error = str(e)
@@ -249,11 +236,8 @@ class LLMGenerator:
             statement_messages = [UserPromptMessage(content=statement_generate_prompt)]
 
             try:
-                parameter_content = cast(
-                    LLMResult,
-                    model_instance.invoke_llm(
-                        prompt_messages=list(parameter_messages), model_parameters=model_parameters, stream=False
-                    ),
+                parameter_content: LLMResult = model_instance.invoke_llm(
+                    prompt_messages=list(parameter_messages), model_parameters=model_parameters, stream=False
                 )
                 rule_config["variables"] = re.findall(r'"\s*([^"]+)\s*"', cast(str, parameter_content.message.content))
             except InvokeError as e:
@@ -261,11 +245,8 @@ class LLMGenerator:
                 error_step = "generate variables"
 
             try:
-                statement_content = cast(
-                    LLMResult,
-                    model_instance.invoke_llm(
-                        prompt_messages=list(statement_messages), model_parameters=model_parameters, stream=False
-                    ),
+                statement_content: LLMResult = model_instance.invoke_llm(
+                    prompt_messages=list(statement_messages), model_parameters=model_parameters, stream=False
                 )
                 rule_config["opening_statement"] = cast(str, statement_content.message.content)
             except InvokeError as e:
@@ -308,11 +289,8 @@ class LLMGenerator:
         prompt_messages = [UserPromptMessage(content=prompt)]
         model_parameters = model_config.get("completion_params", {})
         try:
-            response = cast(
-                LLMResult,
-                model_instance.invoke_llm(
-                    prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
-                ),
+            response: LLMResult = model_instance.invoke_llm(
+                prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
             )
 
             generated_code = cast(str, response.message.content)
@@ -339,13 +317,10 @@ class LLMGenerator:
 
         prompt_messages = [SystemPromptMessage(content=prompt), UserPromptMessage(content=query)]
 
-        response = cast(
-            LLMResult,
-            model_instance.invoke_llm(
-                prompt_messages=prompt_messages,
-                model_parameters={"temperature": 0.01, "max_tokens": 2000},
-                stream=False,
-            ),
+        response: LLMResult = model_instance.invoke_llm(
+            prompt_messages=prompt_messages,
+            model_parameters={"temperature": 0.01, "max_tokens": 2000},
+            stream=False,
         )
 
         answer = cast(str, response.message.content)
@@ -368,11 +343,8 @@ class LLMGenerator:
         model_parameters = model_config.get("model_parameters", {})
 
         try:
-            response = cast(
-                LLMResult,
-                model_instance.invoke_llm(
-                    prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
-                ),
+            response: LLMResult = model_instance.invoke_llm(
+                prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
             )
 
             raw_content = response.message.content
@@ -556,11 +528,8 @@ class LLMGenerator:
         model_parameters = {"temperature": 0.4}
 
         try:
-            response = cast(
-                LLMResult,
-                model_instance.invoke_llm(
-                    prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
-                ),
+            response: LLMResult = model_instance.invoke_llm(
+                prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
             )
 
             generated_raw = cast(str, response.message.content)

api/core/mcp/auth/auth_flow.py

@@ -101,7 +101,7 @@ def handle_callback(state_key: str, authorization_code: str) -> OAuthCallbackSta
 
 def check_support_resource_discovery(server_url: str) -> tuple[bool, str]:
     """Check if the server supports OAuth 2.0 Resource Discovery."""
-    b_scheme, b_netloc, b_path, b_params, b_query, b_fragment = urlparse(server_url, "", True)
+    b_scheme, b_netloc, b_path, _, b_query, b_fragment = urlparse(server_url, "", True)
     url_for_resource_discovery = f"{b_scheme}://{b_netloc}/.well-known/oauth-protected-resource{b_path}"
     if b_query:
         url_for_resource_discovery += f"?{b_query}"
@@ -117,7 +117,7 @@ def check_support_resource_discovery(server_url: str) -> tuple[bool, str]:
             else:
                 return False, ""
         return False, ""
-    except httpx.RequestError as e:
+    except httpx.RequestError:
         # Not support resource discovery, fall back to well-known OAuth metadata
         return False, ""
 

api/core/mcp/client/streamable_client.py

@@ -246,6 +246,10 @@ class StreamableHTTPTransport:
                 logger.debug("Received 202 Accepted")
                 return
 
+            if response.status_code == 204:
+                logger.debug("Received 204 No Content")
+                return
+
             if response.status_code == 404:
                 if isinstance(message.root, JSONRPCRequest):
                     self._send_session_terminated_error(

api/core/mcp/mcp_client.py

@@ -2,7 +2,7 @@ import logging
 from collections.abc import Callable
 from contextlib import AbstractContextManager, ExitStack
 from types import TracebackType
-from typing import Any, Optional, cast
+from typing import Any, Optional
 from urllib.parse import urlparse
 
 from core.mcp.client.sse_client import sse_client
@@ -116,8 +116,7 @@ class MCPClient:
 
             self._session_context = ClientSession(*streams)
             self._session = self._exit_stack.enter_context(self._session_context)
-            session = cast(ClientSession, self._session)
-            session.initialize()
+            self._session.initialize()
             return
 
         except MCPAuthError:

api/core/memory/token_buffer_memory.py

@@ -110,9 +110,9 @@ class TokenBufferMemory:
         else:
             message_limit = 500
 
-        stmt = stmt.limit(message_limit)
+        msg_limit_stmt = stmt.limit(message_limit)
 
-        messages = db.session.scalars(stmt).all()
+        messages = db.session.scalars(msg_limit_stmt).all()
 
         # instead of all messages from the conversation, we only need to extract messages
         # that belong to the thread of last message
@@ -167,11 +167,11 @@ class TokenBufferMemory:
             else:
                 prompt_messages.append(AssistantPromptMessage(content=message.answer))
 
-            if not prompt_messages:
-                return []
+        if not prompt_messages:
+            return []
 
-            # prune the chat message if it exceeds the max token limit
-            curr_message_tokens = self.model_instance.get_llm_num_tokens(prompt_messages)
+        # prune the chat message if it exceeds the max token limit
+        curr_message_tokens = self.model_instance.get_llm_num_tokens(prompt_messages)
 
         if curr_message_tokens > max_token_limit:
             while curr_message_tokens > max_token_limit and len(prompt_messages) > 1:

api/core/model_manager.py

@@ -158,8 +158,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, LargeLanguageModel):
             raise Exception("Model type instance is not LargeLanguageModel")
-
-        self.model_type_instance = cast(LargeLanguageModel, self.model_type_instance)
         return cast(
             Union[LLMResult, Generator],
             self._round_robin_invoke(
@@ -188,8 +186,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, LargeLanguageModel):
             raise Exception("Model type instance is not LargeLanguageModel")
-
-        self.model_type_instance = cast(LargeLanguageModel, self.model_type_instance)
         return cast(
             int,
             self._round_robin_invoke(
@@ -214,8 +210,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, TextEmbeddingModel):
             raise Exception("Model type instance is not TextEmbeddingModel")
-
-        self.model_type_instance = cast(TextEmbeddingModel, self.model_type_instance)
         return cast(
             TextEmbeddingResult,
             self._round_robin_invoke(
@@ -237,8 +231,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, TextEmbeddingModel):
             raise Exception("Model type instance is not TextEmbeddingModel")
-
-        self.model_type_instance = cast(TextEmbeddingModel, self.model_type_instance)
         return cast(
             list[int],
             self._round_robin_invoke(
@@ -269,8 +261,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, RerankModel):
             raise Exception("Model type instance is not RerankModel")
-
-        self.model_type_instance = cast(RerankModel, self.model_type_instance)
         return cast(
             RerankResult,
             self._round_robin_invoke(
@@ -295,8 +285,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, ModerationModel):
             raise Exception("Model type instance is not ModerationModel")
-
-        self.model_type_instance = cast(ModerationModel, self.model_type_instance)
         return cast(
             bool,
             self._round_robin_invoke(
@@ -318,8 +306,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, Speech2TextModel):
             raise Exception("Model type instance is not Speech2TextModel")
-
-        self.model_type_instance = cast(Speech2TextModel, self.model_type_instance)
         return cast(
             str,
             self._round_robin_invoke(
@@ -343,8 +329,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, TTSModel):
             raise Exception("Model type instance is not TTSModel")
-
-        self.model_type_instance = cast(TTSModel, self.model_type_instance)
         return cast(
             Iterable[bytes],
             self._round_robin_invoke(
@@ -404,8 +388,6 @@ class ModelInstance:
         """
         if not isinstance(self.model_type_instance, TTSModel):
             raise Exception("Model type instance is not TTSModel")
-
-        self.model_type_instance = cast(TTSModel, self.model_type_instance)
         return self.model_type_instance.get_tts_model_voices(
             model=self.model, credentials=self.credentials, language=language
         )

api/core/model_runtime/model_providers/__base/ai_model.py

@@ -24,7 +24,8 @@ from core.model_runtime.errors.invoke import (
     InvokeRateLimitError,
     InvokeServerUnavailableError,
 )
-from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
+from core.plugin.entities.plugin_daemon import PluginDaemonInnerError, PluginModelProviderEntity
+from core.plugin.impl.model import PluginModelClient
 
 
 class AIModel(BaseModel):
@@ -52,8 +53,6 @@ class AIModel(BaseModel):
 
         :return: Invoke error mapping
         """
-        from core.plugin.entities.plugin_daemon import PluginDaemonInnerError
-
         return {
             InvokeConnectionError: [InvokeConnectionError],
             InvokeServerUnavailableError: [InvokeServerUnavailableError],
@@ -141,8 +140,6 @@ class AIModel(BaseModel):
         :param credentials: model credentials
         :return: model schema
         """
-        from core.plugin.impl.model import PluginModelClient
-
         plugin_model_manager = PluginModelClient()
         cache_key = f"{self.tenant_id}:{self.plugin_id}:{self.provider_name}:{self.model_type.value}:{model}"
         # sort credentials

api/core/model_runtime/model_providers/__base/large_language_model.py

@@ -22,6 +22,7 @@ from core.model_runtime.entities.model_entities import (
     PriceType,
 )
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.impl.model import PluginModelClient
 
 logger = logging.getLogger(__name__)
 
@@ -141,8 +142,6 @@ class LargeLanguageModel(AIModel):
         result: Union[LLMResult, Generator[LLMResultChunk, None, None]]
 
         try:
-            from core.plugin.impl.model import PluginModelClient
-
             plugin_model_manager = PluginModelClient()
             result = plugin_model_manager.invoke_llm(
                 tenant_id=self.tenant_id,
@@ -341,8 +340,6 @@ class LargeLanguageModel(AIModel):
         :return:
         """
         if dify_config.PLUGIN_BASED_TOKEN_COUNTING_ENABLED:
-            from core.plugin.impl.model import PluginModelClient
-
             plugin_model_manager = PluginModelClient()
             return plugin_model_manager.get_llm_num_tokens(
                 tenant_id=self.tenant_id,

api/core/model_runtime/model_providers/__base/moderation_model.py

@@ -5,6 +5,7 @@ from pydantic import ConfigDict
 
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.impl.model import PluginModelClient
 
 
 class ModerationModel(AIModel):
@@ -30,8 +31,6 @@ class ModerationModel(AIModel):
         self.started_at = time.perf_counter()
 
         try:
-            from core.plugin.impl.model import PluginModelClient
-
             plugin_model_manager = PluginModelClient()
             return plugin_model_manager.invoke_moderation(
                 tenant_id=self.tenant_id,

api/core/model_runtime/model_providers/__base/rerank_model.py

@@ -3,6 +3,7 @@ from typing import Optional
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.entities.rerank_entities import RerankResult
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.impl.model import PluginModelClient
 
 
 class RerankModel(AIModel):
@@ -35,8 +36,6 @@ class RerankModel(AIModel):
         :return: rerank result
         """
         try:
-            from core.plugin.impl.model import PluginModelClient
-
             plugin_model_manager = PluginModelClient()
             return plugin_model_manager.invoke_rerank(
                 tenant_id=self.tenant_id,

api/core/model_runtime/model_providers/__base/speech2text_model.py

@@ -4,6 +4,7 @@ from pydantic import ConfigDict
 
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.impl.model import PluginModelClient
 
 
 class Speech2TextModel(AIModel):
@@ -27,8 +28,6 @@ class Speech2TextModel(AIModel):
         :return: text for given audio file
         """
         try:
-            from core.plugin.impl.model import PluginModelClient
-
             plugin_model_manager = PluginModelClient()
             return plugin_model_manager.invoke_speech_to_text(
                 tenant_id=self.tenant_id,

api/core/model_runtime/model_providers/__base/text_embedding_model.py

@@ -6,6 +6,7 @@ from core.entities.embedding_type import EmbeddingInputType
 from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
 from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.impl.model import PluginModelClient
 
 
 class TextEmbeddingModel(AIModel):
@@ -36,8 +37,6 @@ class TextEmbeddingModel(AIModel):
         :param input_type: input type
         :return: embeddings result
         """
-        from core.plugin.impl.model import PluginModelClient
-
         try:
             plugin_model_manager = PluginModelClient()
             return plugin_model_manager.invoke_text_embedding(
@@ -62,8 +61,6 @@ class TextEmbeddingModel(AIModel):
         :param texts: texts to embed
         :return:
         """
-        from core.plugin.impl.model import PluginModelClient
-
         plugin_model_manager = PluginModelClient()
         return plugin_model_manager.get_text_embedding_num_tokens(
             tenant_id=self.tenant_id,

api/core/model_runtime/model_providers/__base/tts_model.py

@@ -6,6 +6,7 @@ from pydantic import ConfigDict
 
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.impl.model import PluginModelClient
 
 logger = logging.getLogger(__name__)
 
@@ -41,8 +42,6 @@ class TTSModel(AIModel):
         :return: translated audio file
         """
         try:
-            from core.plugin.impl.model import PluginModelClient
-
             plugin_model_manager = PluginModelClient()
             return plugin_model_manager.invoke_tts(
                 tenant_id=self.tenant_id,
@@ -66,8 +65,6 @@ class TTSModel(AIModel):
         :param credentials: The credentials required to access the TTS model.
         :return: A list of voices supported by the TTS model.
         """
-        from core.plugin.impl.model import PluginModelClient
-
         plugin_model_manager = PluginModelClient()
         return plugin_model_manager.get_tts_model_voices(
             tenant_id=self.tenant_id,

api/core/model_runtime/model_providers/model_provider_factory.py

@@ -20,8 +20,10 @@ from core.model_runtime.model_providers.__base.text_embedding_model import TextE
 from core.model_runtime.model_providers.__base.tts_model import TTSModel
 from core.model_runtime.schema_validators.model_credential_schema_validator import ModelCredentialSchemaValidator
 from core.model_runtime.schema_validators.provider_credential_schema_validator import ProviderCredentialSchemaValidator
+from core.plugin.entities.plugin import ModelProviderID
 from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
-from models.provider_ids import ModelProviderID
+from core.plugin.impl.asset import PluginAssetManager
+from core.plugin.impl.model import PluginModelClient
 
 logger = logging.getLogger(__name__)
 
@@ -35,8 +37,6 @@ class ModelProviderFactory:
     provider_position_map: dict[str, int]
 
     def __init__(self, tenant_id: str) -> None:
-        from core.plugin.impl.model import PluginModelClient
-
         self.provider_position_map = {}
 
         self.tenant_id = tenant_id
@@ -71,7 +71,7 @@ class ModelProviderFactory:
 
         return [extension.plugin_model_provider_entity.declaration for extension in sorted_extensions.values()]
 
-    def get_plugin_model_providers(self) -> Sequence["PluginModelProviderEntity"]:
+    def get_plugin_model_providers(self) -> Sequence[PluginModelProviderEntity]:
         """
         Get all plugin model providers
         :return: list of plugin model providers
@@ -109,7 +109,7 @@ class ModelProviderFactory:
         plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider)
         return plugin_model_provider_entity.declaration
 
-    def get_plugin_model_provider(self, provider: str) -> "PluginModelProviderEntity":
+    def get_plugin_model_provider(self, provider: str) -> PluginModelProviderEntity:
         """
         Get plugin model provider
         :param provider: provider name
@@ -366,8 +366,6 @@ class ModelProviderFactory:
         mime_type = image_mime_types.get(extension, "image/png")
 
         # get icon bytes from plugin asset manager
-        from core.plugin.impl.asset import PluginAssetManager
-
         plugin_asset_manager = PluginAssetManager()
         return plugin_asset_manager.fetch_asset(tenant_id=self.tenant_id, id=file_name), mime_type
 
@@ -377,6 +375,5 @@ class ModelProviderFactory:
         :param provider: provider name
         :return: plugin id and provider name
         """
-
         provider_id = ModelProviderID(provider)
         return provider_id.plugin_id, provider_id.provider_name

api/core/moderation/api/api.py

@@ -1,6 +1,7 @@
 from typing import Optional
 
 from pydantic import BaseModel, Field
+from sqlalchemy import select
 
 from core.extension.api_based_extension_requestor import APIBasedExtensionPoint, APIBasedExtensionRequestor
 from core.helper.encrypter import decrypt_token
@@ -87,10 +88,9 @@ class ApiModeration(Moderation):
 
     @staticmethod
     def _get_api_based_extension(tenant_id: str, api_based_extension_id: str) -> Optional[APIBasedExtension]:
-        extension = (
-            db.session.query(APIBasedExtension)
-            .where(APIBasedExtension.tenant_id == tenant_id, APIBasedExtension.id == api_based_extension_id)
-            .first()
+        stmt = select(APIBasedExtension).where(
+            APIBasedExtension.tenant_id == tenant_id, APIBasedExtension.id == api_based_extension_id
         )
+        extension = db.session.scalar(stmt)
 
         return extension

api/core/moderation/factory.py

@@ -20,7 +20,6 @@ class ModerationFactory:
         :param config: the form config data
         :return:
         """
-        code_based_extension.validate_form_schema(ExtensionModule.MODERATION, name, config)
         extension_class = code_based_extension.extension_class(ExtensionModule.MODERATION, name)
         # FIXME: mypy error, try to fix it instead of using type: ignore
         extension_class.validate_config(tenant_id, config)  # type: ignore