Clean up imports and argument formatting in workflow nodes

This commit removes redundant imports and unnecessary blank lines in agent_node.py, and streamlines argument formatting in knowledge_retrieval_node.py, llm/node.py, and question_classifier_node.py. These changes improve code readability and maintain consistency across workflow node implementations.

api/core/workflow/nodes/agent/agent_node.py

@@ -10,8 +10,7 @@ from sqlalchemy.orm import Session
 from core.agent.entities import AgentToolEntity
 from core.agent.plugin_entities import AgentStrategyParameter
 from core.agent.strategy.plugin import PluginAgentStrategy
-
-from core.file import file_manager
+from core.file import File, FileTransferMethod, file_manager
 from core.memory.token_buffer_memory import TokenBufferMemory
 from core.model_manager import ModelInstance, ModelManager
 from core.model_runtime.entities import (
@@ -19,12 +18,7 @@ from core.model_runtime.entities import (
     TextPromptMessageContent,
     UserPromptMessage,
 )
-
-from core.file import File, FileTransferMethod
-from core.memory.token_buffer_memory import TokenBufferMemory
-from core.model_manager import ModelInstance, ModelManager
 from core.model_runtime.entities.llm_entities import LLMUsage
-
 from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
 from core.plugin.entities.request import InvokeCredentials
 from core.plugin.impl.exc import PluginDaemonClientSideError
@@ -37,12 +31,8 @@ from core.tools.entities.tool_entities import (
     ToolProviderType,
 )
 from core.tools.tool_manager import ToolManager
-
-from core.variables.segments import ArrayAnySegment, ArrayFileSegment, FileSegment, StringSegment
-
 from core.tools.utils.message_transformer import ToolFileMessageTransformer
-from core.variables.segments import ArrayFileSegment, StringSegment
-
+from core.variables.segments import ArrayAnySegment, ArrayFileSegment, FileSegment, StringSegment
 from core.workflow.entities.node_entities import NodeRunResult
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
@@ -57,11 +47,8 @@ from core.workflow.utils.variable_template_parser import VariableTemplateParser
 from extensions.ext_database import db
 from factories import file_factory
 from factories.agent_factory import get_plugin_agent_strategy
-
-from models.model import Conversation, NodeFileUsage
-
 from models import ToolFile
-from models.model import Conversation
+from models.model import Conversation, NodeFileUsage
 from services.tools.builtin_tools_manage_service import BuiltinToolManageService
 
 from .exc import (
@@ -74,7 +61,6 @@ from .exc import (
 )
 
 
-
 class AgentNode(BaseNode):
     """
     Agent Node

api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py

@@ -527,11 +527,8 @@ class KnowledgeRetrievalNode(BaseNode):
             vision_detail=node_data.vision.configs.detail,
             variable_pool=self.graph_runtime_state.variable_pool,
             jinja2_variables=[],
-
             uses_sys_files_for_node=False,
-
             tenant_id=self.tenant_id,
-
         )
 
         result_text = ""

api/core/workflow/nodes/llm/node.py

@@ -206,8 +206,8 @@ class LLMNode(BaseNode):
             # A node is considered "using" sys.files when vision is enabled and a variable selector is configured.
             # ------------------------------
 
-            uses_sys_files_for_node = self.node_data.vision.enabled and bool(
-                self.node_data.vision.configs.variable_selector
+            uses_sys_files_for_node = self._node_data.vision.enabled and bool(
+                self._node_data.vision.configs.variable_selector
             )
 
             if uses_sys_files_for_node and files:
@@ -286,13 +286,9 @@ class LLMNode(BaseNode):
                 vision_enabled=self._node_data.vision.enabled,
                 vision_detail=self._node_data.vision.configs.detail,
                 variable_pool=variable_pool,
-
-                jinja2_variables=self.node_data.prompt_config.jinja2_variables,
                 uses_sys_files_for_node=uses_sys_files_for_node,
-
                 jinja2_variables=self._node_data.prompt_config.jinja2_variables,
                 tenant_id=self.tenant_id,
-
             )
 
             # handle invoke result
@@ -679,11 +675,8 @@ class LLMNode(BaseNode):
         vision_detail: ImagePromptMessageContent.DETAIL,
         variable_pool: VariablePool,
         jinja2_variables: Sequence[VariableSelector],
-
         uses_sys_files_for_node: bool,
-
         tenant_id: str,
-
     ) -> tuple[Sequence[PromptMessage], Optional[Sequence[str]]]:
         prompt_messages: list[PromptMessage] = []
 

api/core/workflow/nodes/question_classifier/question_classifier_node.py

@@ -168,11 +168,8 @@ class QuestionClassifierNode(BaseNode):
             vision_detail=node_data.vision.configs.detail,
             variable_pool=variable_pool,
             jinja2_variables=[],
-
             uses_sys_files_for_node=node_data.vision.enabled and bool(node_data.vision.configs.variable_selector),
-
             tenant_id=self.tenant_id,
-
         )
 
         result_text = ""